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Please write an abstract with title: Contactless Antenna Radiation Efficiency Measurement Within Reverberation Chambers: Sensitivity Improvement, and key words: Antenna measurements, Microwave measurement, Microwave antennas, Sensitivity, Contacts, Reverberation chambers, Measurement uncertainty. Abstract: This paper discusses the sensitivity improvement of a contactless antenna radiation efficiency measurement method within reverberation chambers (RCs). The method does not need to connect the antenna under test to an analyzer through cables, which are known to disturb antenna impedance and radiation characteristics when placed in the reactive field zone of electrically small antennas. The sensitivity improvement is achieved through the use of multiple identical AUTs located within the RC in order to enhance the quality factor variation introduced by the modification of the AUT load impedance.
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Please write an abstract with title: A new method to investigate electrical conduction in crimp joints. Influence of the compaction ratio and electrical model, and key words: Compaction, Crimping, Wire, Contact resistance, Postal services, Shape, Inverse problems, Vehicles, Force measurement, Surface finishing. Abstract: The principle of electrical contact by open barrel crimp has been known and applied for a long time, above all in its "B" style shape. To realise this kind of electrical connection, a conductive wire is stripped and put into a contact element with open wings, then the wings are closed on the conductive strands by a "punch/anvil" system. According to the depth to which the punch falls, strands are more or less squeezed, and this is evaluated by the "section reduction ratio" parameter. The object of this work is first of all to describe an original experimental method to characterise the electrical behaviour of the crimp. This approach allows one to measure apparent inter strand and strand/barrel contact resistance values. Next, the influence of compaction ratio on the resistance distribution is investigated. Finally, a crimp model and an inverse method allowing one to determine the real contact resistance values from the apparent ones are proposed.
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Please write an abstract with title: IoT Based RF Antenna- Radiation Pattern Control in Mobile Communication Systems, and key words: RF Antenna Control, Arduino, BTS, GSM, IoT, MQTT, Node B, Node Red, Raspberry Pi, uninterrupted communication, WCDMA, LTE, Radiation Pattern. Abstract: This paper aims to convert the RF Antenna used in the GSM/WCDMA/LTE communication into a smart RF antenna using IoT and thereby aims to achieve cost effective method to control the radiation pattern of RF waves in order to provide better quality signal in wireless communication. The proposed method makes the normal RF antenna compliant for IoT and it controls the electrical tilt fed to the RF Antenna through Internet. This smart system is also capable of obtaining the required RF radiation pattern through the Mobile App using Bluetooth communication from Smart Mobile. The experimental results prove that system is cost effective and a noteworthy development in the telecommunication sector.
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Please write an abstract with title: Research on the transient current distribution of bogies considering the lifting or dropping pantograph of EMU, and key words: Solid modeling, Surface impedance, Analytical models, Vehicular and wireless technologies, Current distribution, Software, Impedance. Abstract: During the operation of EMU, the transient disturbance generated by pantograph catenary system will couple to the bogie, and excessive transient current will bring problems such as abnormal wear of bogies, abnormal damage of sensors installed on bogies, etc. To address this issue, an extended equivalent circuit model of CRH2 EMU aiming at lifting or dropping pantograph is presented in this paper. Firstly, the bogie impedance varying with frequency is studied, and the equivalent circuit model of bogie is obtained. Then, the equivalent circuit model of EMU during lifting or dropping pantograph is established. The characteristic impedance of bogies are considered in the model, and the transient current distribution on different bogies is obtained. Finally, according to the three-dimensional model of bogie, the distribution of surface current on it is obtained by simulation. The above research provide a research method and theoretical basis for judging whether the bogie and sensors installed on it are damaged abnormally by transient disturbance, which ensures the safety of train operation.
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Please write an abstract with title: Feasibility Study of Installing a Rooftop PV Systems in Suranaree University of Technology, and key words: Economics, Temperature sensors, Electrical engineering, Sensitivity analysis, Photovoltaic cells, Buildings, Silicon. Abstract: The objectives of this research are study and evaluate the potential of a Rooftop PV System Installation in Suranaree University of Technology (SUT) by means of considering the basis of polycrystalline silicon and on-grid connected system. Variables of evaluation are namely; the solar radiation on a tilted surface, an area of the PV array, and the efficiency according to the cell temperature. To determine the economic feasibility, Net present value (NPV), Internal rate of return (IRR), Benefit cost ratio (B/C Ratio), Discounted payback period (DPB), Levelized cost of electricity (LCOE) and Sensitivity analysis were employed. The period of this study is specified up to 25 years base on solar cell life time. The result shows that the rooftops of SUT are efficiency. 38 buildings were considered and the result of economics study shows that NPV is Positive, IRR is more than minimum loan rate, B/C Ratio is more than one, DPB is 9.3 years, LCOE is 1.94 baht/unit, and the Sensitivity scenario demonstrates the cost reduction in an installation from 50 to 45 baht/watt. To sum up, the project is quite interesting to invest.
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Please write an abstract with title: The growth of high quality heteroepitaxy ZnTe layers using low-temperature buffer, and key words: Zinc compounds, Buffer layers, Gallium arsenide, Molecular beam epitaxial growth, Laboratories, Substrates, X-ray diffraction, Temperature control, Thickness control, Optical films. Abstract: Although there have been successful demonstrations of buffer layer growth for the heteroepitaxy of large mismatched systems, however, general selection rule for the buffer layer is still unknown because the role of a buffer layer is not fully understood. In this article, heteroepitaxy ZnTe layers are grown on GaAs (001) substrates by molecular beam epitaxy (MBE). Prior to the main growth, a thin (~30nm) ZnTe buffer layer is introduced at low temperature (LT-buffer) and the effect of LT-buffer to the high temperature grown ZnTe layers have been investigated.
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4,106
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Please write an abstract with title: Heuristic Evaluation for Five Governmental Websites in Saudi Arabia, and key words: Content management, Navigation, Government, Media, Elevators, Usability, Vision defects. Abstract: Government communicates with citizens through different channels. One of the most common channels is websites. There is no doubt that this communication is affected by the usability of those websites. Citizens would probably become confused or frustrated when a website lacks some core principles of usability. Thus, this study aimed to identify the usability problems of government websites. Specifically, it examined five governmental websites in Saudi Arabia by using heuristic evaluation. Eight evaluators assessed the five websites in terms of certain heuristics: navigation, interactivity, consistency, screen appearance, media use, and content management. The results showed that all five governmental websites had several types of usability issues. The recommendation of this study describes the importance of using modes (such as night reading and color blindness) and avoiding parallel translating for all pages.
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Please write an abstract with title: Sentiment Analysis in a Forensic Timeline With Deep Learning, and key words: Forensics, Sentiment analysis, Deep learning, Tools, Operating systems, Anomaly detection, Training. Abstract: A forensic investigator creates a timeline from a forensic disk image after an occurrence of a security incident. This procedure aims to acquire the time for all events identified from the investigated artifacts. An investigator usually looks for events of interest by manually searching the timeline. One of the sources from which to build a timeline is log files, and these events are often found in log messages. In this paper, we propose a sentiment analysis technique to automatically extract events of interest from log messages in the forensic timeline. We use a deep learning technique with a context and content attention model to identify aspect terms and the corresponding sentiments in the forensic timeline. Terms with negative sentiments indicate events of interest and are highlighted in the timeline. Therefore, the investigator can quickly examine the events and other activities recorded within the surrounding time frame. Experimental results on four public forensic case studies show that the proposed method achieves 98.43% and 99.64% for the F1 score and accuracy, respectively.
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Please write an abstract with title: The Research of Computer Technology on the Efficiency of Visual inspection and Information Reading in Off-road Vehicles, and key words: Vibrations, Visualization, Instruments, Roads, Vehicle driving, Inspection, Vibration measurement. Abstract: Objective method conclusion Explore the impact of off-road vehicle driving environment and instrument interface design factors on driver reading efficiency and visual inspection. The experimental principle of computer simulation of visual information is studied, and the eye movement data of drivers reading the instrument are recorded by ASL eye movement instrument; SPSS data analysis tool was used to analyze the experimental data indexes measured in the eye movement experiment.(1) Under the condition of simulated vibration, the lateral vibration of the instrument panel has a great impact on the driver’s reading;(2) The influence of vibration frequency on instrument reading efficiency is linear in the range of 0-20hz, and the influence of vibration frequency greater than 20Hz on reading efficiency decreases gradually;(3) The influence of vibration amplitude on instrument reading efficiency is nonlinear. When the amplitude is above 80pt, the influence on instrument reading efficiency gradually decreases.
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Please write an abstract with title: Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design, and key words: Probability distribution, Bayes methods, Resistance, Hardware, Gaussian distribution, Training, Probabilistic logic. Abstract: Uncertainty plays a key role in real-time machine learning. As a significant shift from standard deep networks, which does not consider any uncertainty formulation during its training or inference, Bayesian deep networks are being currently investigated where the network is envisaged as an ensemble of plausible models learnt by the Bayes' formulation in response to uncertainties in sensory data. Bayesian deep networks consider each synaptic weight as a sample drawn from a probability distribution with learnt mean and variance. This letter elaborates on a hardware design that exploits cycle-to-cycle variability of oxide based Resistive Random Access Memories (RRAMs) as a means to realize such a probabilistic sampling function, instead of viewing it as a disadvantage.
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Please write an abstract with title: Characteristics of electric wire antennas onboard scientific spacecrafts [plasma wave observations], and key words: Wire, Space vehicles, Plasma waves, Dipole antennas, Electric fields, Probes, Antenna measurements, Electric variables measurement, Plasma measurements, Voltage. Abstract: For observation of plasma waves by a scientific spacecraft, we usually use wire dipole antennas for AC electric field and dipole probes for DC field measurement. An accurate value of effective length of the antenna (h/sub eft/) is required to calculate absolute intensities of the electric fields from the output voltage of the antennas , and it is known as L/2 for wire dipole antennas and L for dipole probes. In this paper, we try to clarify the transition of h/sub eff/ from L to L/2 with frequency. At first, we report the result of a "rheometry experiment" which measures the frequency dependence of h/sub eff/ directly, and then theoretical calculations by using its equivalent circuits. The result clearly explains why the effective length transits.
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Please write an abstract with title: Theory of FM laser oscillation, and key words: Laser theory, Laser modes, Atomic beams, Atom lasers, Steady-state, Frequency conversion, Time domain analysis, Phase distortion, Mirrors, Motion analysis. Abstract: The paper presents a detailed analysis of FM laser oscillation which includes the effect of arbitrary atomic lineshape, saturation, and mode pulling. Such oscillation is achieved by means of an intracavity phase perturbation, and is a parametric oscillation wherein the laser modes oscillate with FM phases and nearly Bessel function amplitudes. One principal idea is that of the competition between different FM oscillations. The effect of the intracavity phase perturbation is to associate a set of sidebands with each of the previously free-running laser modes. While the free-running laser modes experienced their gain from essentially independent atomic populations, the competing FM oscillations to a large extent see the same atomic population; and in cases of interest the strongest of these oscillations is able to quench the competing weaker oscillations and establish the desired steady state condition. Results of the analysis include the following: threshold and power output, amplitudes and phases of all sidebands, frequency pulling of the entire oscillation, time domain behavior, distortion, super-mode conversion efficiency, and effect of mirror motion. Results of numerical application of the theory to a number of specific cases are given.
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Please write an abstract with title: Reconfigurable multi-beam spiral antenna with RF-MEMS capacitive series switches fabricated on rigid substrates, and key words: Spirals, Radiofrequency microelectromechanical systems, Switches, Glass, Substrates, Directive antennas, Communication switching, Fabrication, Gold, Polarization. Abstract: A single-arm rectangular spiral antenna, which radiates multi-beam with radiofrequency-microelectromechanical system (RF-MEMS) capacitive series switches, is monolithic fabricated on rigid substrates (glass: /spl epsiv//sub t/ = 7.4 and quartz: /spl epsiv//sub t/ = 3.8). The spiral is configured by three-arms, which can be interconnected by two RF-MEMS series switches. The proposed antenna radiates left hand circular polarization (LHCP). The gain of multibeams is between 1 /spl sim/ 3 dBi for glass substrate and 3 /spl sim/ 5 dBi for quartz substrates. Multibeams of antennas satisfy a 3-dB axial ratio criterion at operating frequency band 11 GHz for glass and 6 GHz for quartz substrates.
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Please write an abstract with title: Techniques for Incoherent Scatter Communication, and key words: Particle scattering, Fading, Radiometry, Circuits, Frequency shift keying, Bandwidth, Electrons, Narrowband, Envelope detectors, Pulse modulation. Abstract: Special radiometric-detection procedures are appropriate when communication signals are severely distorted by a rapidly fluctuating, noisy, time-dispersive channel. This paper presents a performance analysis of some digital communication techniques that can be used when most other techniques fail. Error-probability expressions are derived and evaluated for a wide range of possible operating conditions. Effective use of available signal power is found to be possible on badly behaved channels, provided there is sufficient bandwidth available for the optimization of performance.
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Please write an abstract with title: Generalized coherent states for q-oscillator connected with q-Hermite polynomials, and key words: Polynomials, Oscillators, Mathematics, Diffraction, Stress, Convergence, Hilbert space. Abstract: For the oscillator-like systems, connected with q-Hermite polynomials, coherent states of Barut-Girardello type are defined. The well-known Arik-Coon oscillator naturally arose in the framework of suggested approach as oscillator, connected with the Rogers q-Hermite polynomials, in the same way as usual oscillator with standard Hermite polynomials. The results about the coherent states for discrete q-Hermite polynomials of II type are quite new.
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4,115
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Please write an abstract with title: Microstrip-Slot Coupler Design-Part I: S-Parameters of Uncompensated and Compensated Couplers, and key words: Scattering parameters, Coupling circuits, Conductors, Microstrip components, Microwave integrated circuits, Equivalent circuits, Feeds, Strips, Electric variables measurement. Abstract: Using the even-odd mode analysis of four-port networks with double symmetry, the scattering parameters of the microstrip-slot coupler are derived from the even- and odd-mode parameters of the coupler cross section. The uncompensated coupler and the coupler compensated by extending the slot fines are treated and design specifications are given covering the compensation slot lines. A comparison with experimental data will be given in Part II.
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Please write an abstract with title: Multiple Degree of Freedom Vibrations User Interface Development, and key words: Vibrations, Computer languages, Shape, Simulation, Software algorithms, Software, Structural engineering. Abstract: Multiple Degree of Freedom (MDOF) vibrations is found in many cases of vibration phenomenon. The evaluation of the vibration is important for structural stability and fatigue investigation. However, the evaluation often requires a complicated calculation step due to the complex system that makes the process is not straightforward and time-consuming. This paper aims to provide a Graphical User Interface (GUI) that can be used to analyze the vibration of the MDOF system with two, three, and four degrees of freedom. The system is simplified by mass-spring-damper elements to model the interaction of components in the industry. The algorithm is developed using an open-source computational programming language named GNU Octave. The GUI is used to ease the user to simulate the vibration response based on given initial parameters. The GUI also provides features to calculate the natural frequencies and mode shapes of the system and present them on the spectrum. The algorithm is verified in the previous study to establish the simulation result. Based on the result, the amplitude of the time-domain displacement reaches a precise value as the reference. It is proven by the displacement amplitude of the first and second mass of the 2 DOF system are 0.05 m and 0.06 m. The calculation of the natural frequency also proved by the value of the first, second, and third natural frequency of the 3 DOF system which are 64.89 rad/s, 108.13 rad/s, and 281.06 rad/s respectively. Moreover, the mode shape shows a proportional value compared to the related study. It can be inferred that the proposed GUI is verified and ready to use to evaluate the vibration of the MDOF system.
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Please write an abstract with title: A Modified Full Adder (MFA) with an introverted unique Design for Low Power VLSI Circuit Applications, and key words: Performance evaluation, Power demand, Voltage, Very large scale integration, Logic gates, Delays, Transistors. Abstract: The design of low-power devices is ruling the electronics era. The dissipation of power is one of the needed parameters for estimating the performance of the power devices in VLSI circuits. The size of the chip and the design methods are responsible for the generation of low-power devices. In this work, a modified form of the full adder (MFA) is designed by using CMOS gates. For implementing this adder CMOS logic is combined with the Transmission gate logic. The implemented modified full adder (MFA) is a 1-bit adder that consists of an inverted XOR module, NOR module, and sum generator module. The propagation delay is marked to be 15ns which is very low and the power consumption of the circuit is 6.344 μW at 1 volt supply voltage. Hence in the proposed MFA, the product power delay is identified to be 124.63fJ. Only 12 transistors are used in the proposed design. The obtained results show that the new design produces better results in terms of power delay and hence will perform better when used in VLSI circuits.
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Please write an abstract with title: High-Frequency Performance Improvement of LPDA for EMC/EMI Measurements, and key words: Antenna measurements, Feeds, Electric fields, Gain. Abstract: A log-periodic dipole array with improved high-frequency performances for EMC/EMI measurements is proposed in this paper. In the proposed design, a saw-toothed shaped feed line is implemented. This modified feed arrangement allows dipole elements to be placed in the same horizontal plane, effectively suppressing the generation of the undesired vertical component electric field. The proposed LPDA offers on average VSWR of 1.49:1, a gain of 6.7 dBi, an FBR of 23.4 dB, an XPI of 26 dB, and E-plane HPBW of 63.6°.
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Please write an abstract with title: Pareto-Optimal Domino-Tiling of Orthogonal Polygon Phased Arrays, and key words: Antenna arrays, Aperture antennas, Shape, Phased arrays, Optimized production technology, Optimization, Design methodology. Abstract: The modular design of planar phased arrays (PAs) arranged on orthogonal polygon-shaped apertures is addressed and a new method is proposed to synthesize domino-tiled arrays fitting multiple, generally conflicting, requirements. Starting from an analytic procedure to check the domino-tileability of the aperture, two multi-objective optimization techniques are derived to efficiently and effectively deal with small and medium/large arrays depending on the values of the bounds for the cardinality of the solution space of the admissible clustered solutions. A set of representative numerical examples is reported to assess the effectiveness of the proposed synthesis approach also through full-wave simulations when considering nonideal models for the radiating elements of the array.
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Please write an abstract with title: Nonlinear Time Series Analysis of Coupled Bursting Neuron Model Depending on Coupling Strength, and key words: Neurons, Mathematical model, Time series analysis, Biological system modeling, Brain modeling, Couplings, Data visualization. Abstract: It is well known that burst patterns within neurons may have some important role for operating information processing in a brain. However, the analysis of judgement of synchronization and correlation between burst patterns is not so easy. Therefore, we have proposed a visualization method of bursting patterns of whole neural network using nonlinear time series analysis. Additionally, we consider that it is required to construct a model using mathematical neuron model producing burst patterns, because it is difficult to obtain real biological neuron data. In this study, we propose a visualization method of network characteristics of FitzHu-Nagumo (FHN) neuron model using nonlinear time-series analysis.
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Please write an abstract with title: Detection of oxidized low density lipoproteins by indium oxide nanowires-based field effect transistor, and key words: Indium, FETs, Nanowires, Coronary arteriosclerosis, Chemical sensors, Bovine, Conductivity measurement, Voltage measurement, Fluid flow measurement, Proteins. Abstract: Oxidized low density lipoprotein (oxLDL) particles are known to initiate the development of coronary artery disease. Field effect transistors (FET) made of indium oxide (In/sub 2/O/sub 3/) nanowires have been demonstrated as sensitive chemical sensors for gaseous molecules such as NO/sub 2/ and NH/sub 3/. We hereby, apply In/sub 2/O/sub 3/ nanowires FETs to differentiate oxLDL from native LDL (nLDL), cytochrome-c and bovine serum albumin in terms of the transistor characteristic curves: I/sub D/-V/sub DS/ (current versus drain-source voltage) and I/sub D/-V/sub GS/ (current versus gate-source voltage). Measurements under static and flow conditions revealed that exposure of nanowires to these redox proteins selectively changed the FET conductivity and the gating effect of the transistors. To enhance the selectivity for oxLDL detection, surface chemistry modification with antioxLDL antibody was performed.
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Please write an abstract with title: Alfalfa quality detection by means of VIS-NIR optical fiber reflection spectroscopy, and key words: Spectroscopy, Visualization, Optical fiber sensors, Neural networks, Supervised learning, Prototypes, Reflection. Abstract: A first approach study for the classification of alfalfa (medicago sativa) quality has been performed by means of VIS-NIR optical fiber reflection spectroscopy. Reflection spectral data has been obtained from alfalfa samples comprising six different qualities. Obtained data has been classified and organized to feed supervised self-learning algorithms. Neural networks have been used in order to differentiate the quality level of the samples. Obtained results permit to validate the proposed approach with 72% of the samples properly classified. In addition, proposed solution was implemented in a low cost automated detection prototype suitable to be used by non-qualified operators. Obtained equipment consist of a first step towards its utilization in quality monitoring and classification of many other products in the agri-food field.
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Please write an abstract with title: Quantitative of Real-Driving Emission Factor Based on Vehicle Specific Power from A Selected Diesel Truck in Malaysia, and key words: real-driving emissions, vehicle specific power, diesel truck, Euro IV, PM2.5. Abstract: Recent studies had highlighted that real-driving emission (RDE) testing on diesel trucks are necessary to generate emissions limits. Therefore, current research aims to conduct RDE testing using a Euro IV-compliant diesel truck on pre-designed Malaysian-based test routes. Vehicle specific power (VSP) approach was applied to examine the relationship between RDE and truck's activities. The emission factors (EFs) were divided into 22 different operating mode bins, which were classified according to the calculated VSP and instantaneous vehicle speed. Emission factors of CO, CO2, HC and particulate matter (specifically PM2.5) which quantified under time-specific EFs and distance-based EFs were the main focus in current study. Findings showed that CO2 and PM2.5 were found to react linearly with the VSP and instantaneous vehicle speed, while CO and HC emissions did not exhibit any consistent pattern. Further analysis under specific driving modes indicated that the overall EFs of CO2 and PM2.5 were found to be higher in cruising mode, while the overall EFs of CO and HC were found to be higher in acceleration mode. These findings highlighted the needs of RDE testing in providing accurate quantification of EFs under real-driving condition.
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Please write an abstract with title: On the use of flow migration for handling short-term overloads, and key words: Testing, Quality of service, Internet telephony, Streaming media, Multiprotocol label switching, IP networks, Runtime, Monitoring, Costs, Educational institutions. Abstract: In this work, we investigate flow migration as a mechanism to sustain QoS to network users during short-term overloads in the context of an MPLS IP network. We experiment with three different control techniques: static long-term optimal mapping of flows to LSPs; on-line locally optimal mapping of flows to LSPs at flow set-up time; and dynamic flow migration in response to transient congestion. These techniques are applicable over different timescales, have different run-time overheads, and require different levels of monitoring and control software inside the network. We present results both from detailed simulations and a complete implementation using software IP routers. We use voice-over-IP as our test application, and show that if end-to-end quality is to be maintained during short unpredictable bursts of high load, then a fast-timescale control such as migration is required.
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Please write an abstract with title: An 8-bit Ring-Amplifier Based Mixed-Signal MAC Circuit With Full Digital Interface and Variable Accumulation Length, and key words: Random access memory, Analog-digital conversion, Switches, Power dissipation, Microprocessors, Memory management, Linearity. Abstract: An 8-bit switched-capacitor multiply-and-accumulator (MAC) in 65nm CMOS is presented. Based on a cascaded low-power ring-amplifier-based switched-capacitor DACs, the MAC circuit features a programmable accumulation length in MAC computation. Fabricated in 65nm CMOS, the prototype MAC circuit achieves a precision-scaled energy efficiency of 1.32fJ per MAC operation, which is comparable to other state-of-the-art MAC circuits, along with best-in-class linearity. The noise performance has been verified using four real-world convolutional neural networks (CNNs) and 10,000-image data sets with up to 1,000 classes with an accuracy drop of less than 2% compared to the baseline 32-bit floating-point MAC.
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Please write an abstract with title: Detection of Lung Cancer using CT Scans with Deep Learning Approach, and key words: Training, Deep learning, Computed tomography, Computational modeling, Neural networks, Lung cancer, Lung. Abstract: Cancer which begin to grow uncontrollably in the lungs is known as lung cancer. Lung cancer is second deadliest disease in the world. In this paper, we have implemented convolutional neural network model for detection of cancerous nodules from CT (computed tomography) scans of different infected patients. for experimentation dataset is collected from cancerimagingarchive website and performed preprocessing steps to make better fit for our model. further we split dataset into 70% training and 30% testing. we compare performance of our CNN(convolutional neural network) model with pretrained models like VGG16.at the end we have concluded with challenges,research gaps and future scope of our system.
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Please write an abstract with title: Loosely Coupled GNSS/INS Integration Based on Factor Graph and Aided by ARIMA Model, and key words: Global navigation satellite system, Sensors, Navigation, Predictive models, Data models, Prediction algorithms, Time measurement. Abstract: The integration of global navigation satellite system (GNSS) and inertial navigation system (INS) has been widely studied in the past decades. The traditional Kalman filtering method, a procedure that leads to historical states and observations loss, can estimate fast by limiting the update to the latest state. Furthermore, the performance of loosely coupled GNSS/INS navigation integration depends largely on environmental conditions and sensor costs. In cities, GNSS signals may be interrupted due to the influence of obstructions and moving objects, which leads to the discontinuity of GNSS/INS navigation. Therefore, in order to overcome these difficulties an auto regressive integrated moving average (ARIMA) auxiliary model based on time sequence is proposed in this paper, which makes use of the data before interruption to predict the GNSS measurements during the interruption period and makes up for the data gap. In addition, the INS and GNSS measurements are loosely coupled using the most advanced factor graph model. Compared to the filtering algorithm, all previous measurements are used for state estimation through the factor graph framework. In this paper, the experiment is based on the dataset of Tokyo which is a typical challenging city canyon. Experiments showed that, compared with the traditional GNSS/INS integration method, the proposed method can provide a higher precision and a series of continuous navigation results even when the GNSS measurement data was interrupted.
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Please write an abstract with title: Recent Advances in Surrogate Based Optimization with Feature Assistance for Microwave Filter Design, and key words: Microwave integrated circuits, Electromagnetic waveguides, Microwave communication, Microwave theory and techniques, Information filters, Information and communication technology, Microwave filters. Abstract: Surrogate based optimization techniques are widely used for electromagnetic design optimization of microwave filters. This paper review the recent advanced works in surrogate optimization using feature parameter. Feature frequency and feature height are further utilized to speedup optimization process. A microwave filter example is applied to illustrate this advanced techniques.
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Please write an abstract with title: ARM and FPGA Heterogeneous Accelerated Processing System Based on HLS and PCIe, and key words: Linux, Bandwidth, Computer architecture, Market research, Heterogeneous networks, Organ transplantation, Delays. Abstract: Nowadays, with the development of highperformance computing, heterogeneous computing system has become a trend. This paper designs an CPU+FPGA heterogeneous accelerated processing system that uses embedded ARM and FPGA to communicate via PCIe bus. The system mainly uses the Jetson TX2 ARM development board, the development board and FPGA board are connected via PCIe, and High-Level Synthesis (HLS) method is used to transplant the implemented algorithms needed in the project to the FPGA. The focus of this article is: how to use XDMA IP core to connect FPGA and ARM processor through PCIe bus, and how to use HLS to generate IP core. The article completed the architecture design, analyzed the working mechanism of the XDMA kernel module in the Linux system, and analyzed the system bandwidth and delay.
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Please write an abstract with title: Cascading Scene and Viewpoint Feature Learning for Pedestrian Gender Recognition, and key words: Feature extraction, Internet of Things, Task analysis, Generative adversarial networks, Cameras, Smart cities, Electronic mail. Abstract: Pedestrian gender recognition plays an important role in smart city. To effectively improve the pedestrian gender recognition performance, a new method, called cascading scene and viewpoint feature learning (CSVFL), is proposed in this article. The novelty of the proposed CSVFL lies on the joint consideration of two crucial challenges in pedestrian gender recognition, namely, scene and viewpoint variation. For that, the proposed CSVFL starts with the scene transfer (ST) scheme, followed by the viewpoint adaptation (VA) scheme in a cascading manner. Specifically, the ST scheme exploits the key pedestrian segmentation network to extract the key pedestrian masks for the subsequent key pedestrian transfer generative adversarial network, with the goal of encouraging the input pedestrian image to have the similar style to the target scene while preserving the image details of the key pedestrian as much as possible. Afterward, the obtained scene-transferred pedestrian images are fed to train the deep feature learning network with the VA scheme, in which each neuron will be enabled/disabled for different viewpoints depending on whether it has contribution on the corresponding viewpoint. Extensive experiments conducted on the commonly used pedestrian attribute data sets have demonstrated that the proposed CSVFL approach outperforms multiple recently reported pedestrian gender recognition methods.
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Please write an abstract with title: Laser Ablated Microplasma Discharge Device for Inactivating Bacteria Suspended in Liquid Media, and key words: Microorganisms, Electrodes, Sensors, Laser ablation, Copper, Chemicals, Immune system. Abstract: A flexible microplasma discharge device (MDD) was successfully developed for inactivating multi-drug resistant Gram-negative (Escherichia coli, Pseudomonas aeruginosa) and Gram-positive (Staphylococcus aureus, Bacillus subtilis) bacteria, under ambient operating conditions. The MDD consists of a flexible polyethylene terephthalate (PET) film as the dielectric layer and copper tapes as electrodes. The copper tapes were patterned in a honeycomb and circular design using laser ablation to create top and bottom electrodes, respectively, and the PET was sandwiched between the electrodes to fabricate the MDD. The efficacy of the MDD to inactivate bacterial cells in phosphate buffer saline (PBS) was investigated by testing the effect of varying treatment times and input voltages, ranging from 1 to 10 minutes and 6 to 10 V, respectively. Around 8log10 reduction of all bacterial viability were achieved when the MDD was activated for less than 11 minutes at an input voltage of 10 V. The corresponding decimal reduction time was calculated, and it was observed that E. coli and P. aeruginosa were most resistant to radiation from microplasma with a D-value of around 5 and 1.9, respectively. The flexibility of the device was also tested by bending the MDD on surfaces with a radius of curvature of 25 mm and 50 mm. The calculated power density of the MDD in bent condition and flat state was same, clearly indicating that the MDD is flexible. The optical spectra of the microplasma radiation and surface temperature of the MDD were also characterized and are reported in this paper.
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Please write an abstract with title: Prediction of Active Drug Molecule using Back-Propagation Neural Network, and key words: CADD, Drug, Molecules, Neural Networks. Abstract: Traditional drug designing and discovery processes are a very time consuming, expensive and challenging tasks to produce a new drug in the market. Computer Aided Drug Design (CADD) is a promising approach that is cost effective as well as speeds up the drug designing process. CADD is a computational methods which provides resources for simplifying the design and discovery of a new drug. At molecular level, a drug binds to the target protein and neutralizes the disease. Therefore, identification of active molecules which can bind to the target protein is an essential part of CADD. In this paper, the back propagation neural network model is employed for predicting inactive or active molecules, which provides chemical compounds with desirable properties for drug design. The proposed approach demonstrates 99% prediction accuracy on the dataset which consists of active and inactive molecules taken from PubChem data repository.
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Please write an abstract with title: Improved Prediction of Agronomic Models with Outlier Detection and Region-based Clustering, and key words: Support vector machines, Productivity, Statistical analysis, Crops, Weather forecasting, Machine learning, Forestry. Abstract: Productivity in the field of agriculture is a significant factor in the Indian economic scenario. The present paper first makes an in-depth study of the researches conducted in the domain of crop cultivation to detect favorable weather conditions, to analyze soil samples, and to forecast crop yields using statistical methods and machine learning basics. Further research is then conducted to offer an upgraded predictive tool, based on the z-score technique of outlier detection and removal, within crop production data sets in clustered regions of the state of Maharashtra. Here, Fuzzy C Means is found to be the most effective among the clustering techniques employed. Several classification techniques are also compared, out of which the Tree-Ensemble-Learning method is found to out-perform others. The predicted target classes are either the collective Crop Types or individual Crop Names having the best yield values for the different harvesting seasons.
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Please write an abstract with title: Study on a Piezoelectric Gyroscope Based on Flexrual Vibration Mode, and key words: Gyroscopes, Vibrations, Angular velocity, Resonant frequency, Impedance, Lithium niobate, Force. Abstract: A new composite piezoelectric beam is proposed for gyroscope application in this paper. The beam is made of lithium niobate plate with a ferroelectric inversion layer. The flexural vibration of the beam is investigated by one-dimensional beam theory, considering the effects of Coriolis force and centrifugal force. The governing equations are obtained for the analysis of the flexural vibration under the driving voltage. The effects of angular velocity, electrical impendence of the output circuit, and frequencies of a rotating piezoelectric beam are studied through a numerical example.
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Please write an abstract with title: Spatial Pattern of Electroencephalography (EEG) Extracted by Nonlinear Features during Working Memory Maintenance, and key words: Electroencephalography, Support vector machines, Feature extraction, Maintenance engineering, Radio frequency, Task analysis, Entropy. Abstract: When working on electroencephalography (EEG) of cognitive tasks, there is a problem of high channel dimension. In this work, a channel selection method is proposed to achieve efficient spatial pattern. First, it extracts the linear and nonlinear multi-features of the entire brain EEG signal and applies the Support Vector Machine (SVM), K-Nearest neighbors (KNN), Random Forest (RF) multiple classifiers for classification. It is found that the nonlinear feature has a better classification performance in the memory material classification task (images vs characters) based on scalp EEG signals of the working memory maintenance procedure. Then the SVM is applied for classification on each channel by using the nonlinear feature. The top-10 channels with better classification performance are proved as the specific spatial pattern of the working memory maintenance procedure based on working memory materials. The channel selection method proposed in this paper can be extended to other classification analysis of cognitive tasks to extract the efficient spatial patterns.
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Please write an abstract with title: Analytical Controller Synthesis Techniques for Integral Dominant Dual-Loop Stationary Frame Voltage Regulators, and key words: Damping, Regulators, Voltage source inverters, Resonant frequency, Transfer functions, Bandwidth, Control systems. Abstract: This paper presents analytical synthesis relationships for cascaded dual loop voltage regulated voltage source inverters (VSIs) incorporating second order inductive-capacitive (LC) filters with integral-dominant frequency response characteristics. This family of control system is characterized by improved stability properties with a passive terminal impedance characteristic to provide better robustness in grid-tied scenarios. The synthesis technique is developed in the Laplace domain and accounts for the outer and inner loop controllers, active damping of the LC resonance and transport delay due to the modulator. Bode frequency analysis enables selection of the outer loop voltage regulator parameters, and consequently enforces a damping condition on the inner-loop current regulator. Matching discrete time pole-zero maps and switched PSIM simulations validate the synthesis strategy.
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Please write an abstract with title: Shared Spectrum Monitoring Using Deep Learning, and key words: Wireless fidelity, Interference, Wireless communication, Long Term Evolution, Modulation, Monitoring, Radar. Abstract: Shared spectrum usage is inevitable due to the ongoing increase in wireless services and bandwidth requirements. Spectrum monitoring is a key enabler for efficient spectrum sharing by multiple radio access technologies (RATs). In this paper, we present signal classification using deep neural networks to identify various radio technologies and their associated interferences. We use Convolutional Neural Networks (CNN) to perform signal classification and employ six well-known CNN models to train for ten signal classes. These classes include LTE, Radar, WiFi and FBMC (Filter Bank Multicarrier) and their interference combinations, which include, LTE + Radar, LTE + WiFi, FBMC + Radar, FBMC + WiFi, WiFi + Radar and Noise. The CNN models include, AlexNet, VGG16, ResNet18, SqueezeNet, InceptionV3 and ResNet50. The radio signal data sets for training and testing of CNN-based classifiers are acquired using a USRP-based experimental setup. Extensive measurements of these radio technologies (LTE, WiFi, Radar and FBMC) are done over different locations and times to generate a robust dataset. We propose a novel (spectrogram) representation called the Quarter-spectrogram (Q-spectrogram) that squeezes temporal and frequency information for input to CNN models. While considering classification accuracy, model complexity and prediction time for a single input Q-spectrogram (image), ResNet18 (CNN model) gives the best overall performance with 98% classification accuracy. While SqueezeNet (CNN model) offers the lowest model complexity which makes it very suitable for resource-constrained radio monitoring devices and also offers the least prediction time of 110 msec. Moreover, we also propose a simple WiFi classification scheme that buffers several WiFi Q-spectrograms and then makes a decision about WiFi’s presence and also gives a quantified measure of WiFi traffic density.
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Please write an abstract with title: Two new methods to design digital filters, and key words: Design methodology, Digital filters, Finite impulse response filter, Fourier series, Transfer functions, Equations, Road transportation, Frequency conversion, Least squares methods, Mathematics. Abstract: This paper presents two new methods for designing digital filters using Fourier series expansion. The first method employs the impulse response of the filter, and the second method uses an FIR transform to obtain a digital filter from analog filter transfer function. Experimental results illustrate the accuracy of the methods.
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Please write an abstract with title: Implementing machine learning methods for imaging flow cytometry, and key words: optical imaging, machine learning, image analysis, flow cytometry, cell sorting. Abstract: In this review, we focus on the applications of machine learning methods for analyzing image data acquired in imaging flow cytometry technologies. We propose that the analysis approaches can be categorized into two groups based on the type of data, raw imaging signals or features explicitly extracted from images, being analyzed by a trained model. We hope that this categorization is helpful for understanding uniqueness, differences and opportunities when the machine learning-based analysis is implemented in recently developed ‘imaging’ cell sorters.
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4,140
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Please write an abstract with title: Characterising and Detecting Sponsored Influencer Posts on Instagram, and key words: Social networking (online), Multimedia Web sites, Machine learning, Labeling, Feeds, Advertising. Abstract: Recent years have seen a new form of advertisement campaigns emerge: those involving so-called social media influencers. These influencers accept money in return for promoting products via their social media feeds. We gather a large-scale Instagram dataset covering thousands of accounts advertising products, and create a categorisation based on the number of users they reach. We then provide a detailed analysis of the types of products being advertised by these accounts, their potential reach, and the engagement they receive from their followers. Based on our findings, we train machine learning models to distinguish sponsored content from non-sponsored, and identify cases where people are generating sponsored posts without labelling them.
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Please write an abstract with title: A Survey on Different Consensus Mechanisms for the Blockchain Technology, and key words: Contracts, Internet of Things, Bitcoin, Privacy. Abstract: The invention of blockchain as the niche technology for cryptocurrencies has an opportunity to be used in other application domains as well. This is promoted due to privacy and security offered by blockchains. The blockchain uses a consensus mechanism for accepting any new information. Conventional consensus mechanisms used in the blockchain need high computational power that restricts its usage in resource constrained systems. This paper, focuses on the survey of different consensus methods available for the blockchain. An IoT system consists of a number of interconnected sensors/actuators, such systems have limited resources including compute, storage and energy. This survey aims to study on the consensus methods which are relevant for the IoT networks.
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Please write an abstract with title: Predicting Diabetes Mellitus Using Machine Learning Algorithms, and key words: Support vector machines, Training, Machine learning algorithms, Medical services, Diabetes, Glucose, Plasmas. Abstract: Diabetes mellitus is an illness caused due to the increase in degree of blood glucose. Diabetes is a continuous disorder which likelihood to cause an overall medical services crisis. The beginning of diabetes is assessed to increase drastically in the forthcoming years. This disease can be divided distinct types. Nonetheless, it has two significant clinical sorts, (T1D) and (T2D). It may cause numerous entanglements. With the speedy headway of AI, AI has been applied to various pieces of clinical prosperity. In this examination, we used estimations like Random forest, SVM to expect diabetes mellitus. The datasets comprise of a few clinical indicator (free) factors or Features and one objective (subordinate) variable or Label (Class). Free factors or Features incorporate the glucose, plasma glucose, HbAlc, age, etc.
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Please write an abstract with title: New identity based proxy re-encryption scheme from lattices, and key words: Lattices, Resistance, Standards, Resists, Encryption. Abstract: Identity-Based Proxy Re-Encryption (IB-PRE) allows a semi-trusted proxy to convert the ciphertext encrypted under Alice's identity into Bob's ciphertext of the same message without leaking plaintext. Lattice-based cryptography enjoys potential resistance to quantum analysis and low computational complexity. A multi-hop and unidirectional IB-PRE from lattices is presented. We split the functions of decryption and ciphertext transformation separately, and design the double private keys mechanism, where two keys are generated for each user, one key is used to decrypt the ciphertext by Pre-Image Sampling technique, and the other is used to generate the re-encryption key by Bonsai Trees technique. The generation of the re-encryption key is non-interactive and collusion resistant. Moreover, its IND-sID-CPA security over the decisional Learning With Errors (LWE) assumption under the standard model is proved. Compared with some previous IB-PRE schemes from Bilinear Pairings, the format of transformed ciphertext in our scheme remains unchanged, furthermore, it can also resist quantum analysis. Compared with some existing IB-PRE schemes from lattices with similar properties, the space of the message in our scheme is a vector of length l and the encryption process remains a lower encryption blowup factor. At last, a proof-of-concept implementation is provided.
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Please write an abstract with title: Simulating and modeling electrophoresis phenomenon in capillaries, and key words: Electrokinetics, Process design, Fluidics, SPICE, Microelectronics, Navier-Stokes equations, Design engineering, Knowledge engineering, Software systems, Fluid dynamics. Abstract: In the designing process the most crucial parameter is time. During simulating MEFS (Micro Electro Fluidics Systems), the slowest part is the simulation of species concentration in capillaries, which is in 3D. Sometimes 3D structure can be replaced by 2D, but still simulation is relatively low. The solution for this problem is behavioral modeling of electrophoresis phenomenon in capillary in one of the languages such as HDLA or VHDL-AMS. In this paper a new approach in modeling electrophoresis phenomenon is presented. Implementing this phenomenon into HDLA shorten drastically the time of the simulation without decreasing of the model precision.
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Please write an abstract with title: Compact SPICE Models of Sub-100 nm FDSOI and FinFET Devices in the Wide Temperature Range (-269°C … + 300°C), and key words: Semiconductor device modeling, Temperature measurement, Temperature distribution, Silicon-on-insulator, FinFETs, SPICE, Mathematical models. Abstract: The temperature range of SPICE models of sub-100 nm FDSOI MOSFETs and FinFETs is extended from the standard commercial level (-60°C to +150 °C) to extreme low and high level (-200 °C … +300 °C) for low/high temperature ICs design. This is done by including additional equations for temperature-dependent parameters, and by connecting additional elements to the device equivalent circuit to take into account the thermal effects. The good agreement between simulated and measured device characteristics is achieved. The RMS error is not more than 10-20%.
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Please write an abstract with title: A Remotely Controlled Oropharyngeal Swab Sampling Robot and Its Application in COVID-19 Prevention, and key words: Robots, Robot sensing systems, Pharynx, Manipulators, Force, Tongue, COVID-19. Abstract: Oropharyngeal swab sampling is the major viral nucleic acid detection method to diagnose COVID-19. Medical staff exposes themselves to the respiratory secretions of patients, which makes them vulnerable to infection. To protect medical staff, we summarize the clinical requirements for robot into five considerations (standardization, ergonomics, safety, isolation, and task allocation) and developed a remotely operated oropharyngeal swab sampling robot. With robot assistance, spatial isolation between medical staff and the patients can be achieved. We designed a hybrid force/position control scheme for the sampling robot to achieve intuitive operation and stable contact force. The experiment results on phantom tissue show that the sampling robot can achieve intuitive operation and stable contact on the soft posterior pharyngeal. Clinical trials for 20 volunteers and 2 patients diagnosed with COVID-19 are carried out. The results of the clinical trial indicated that the sampling robot can collect samples stably and effectively, and the contact force is gentler and more uniform. For two patients diagnosed with COVID-19, the robot sampling results are consistent with manual sampling.
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Please write an abstract with title: TLB-based Block-Grain Classification of Private Data, and key words: Coherence, Protocols, Proposals, Optimization, Hardware, System performance, Distributed databases. Abstract: Sequential and parallel applications use most of the data as private in a multi-core system. Recent proposals made use of this observation to reduce the area of the coherence directories or the memory access latency. The driving force of these proposals is the classification of private/shared memory data. The effectiveness of these proposals depends on the number of detected private data. The existing proposals perform the private/shared classification at page granularity, leading to a noticeable amount of miss-classified memory blocks. We propose a mechanism that works on block granularity using the translation lookaside buffer (TLB) to make accurate detection of private data, which increases the effectiveness of proposals relying on a private/shared classification. Simulation results show that the block-grain approach obtains 17.0% more accessed private miss data than the page-grain approach, which translates to an improvement in system performance by 6.02% compared to a page-grain approach.
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4,148
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Please write an abstract with title: Touring System using Augmented Reality - A Case Study of Yilan Cultural Industries, and key words: Smart phones, Internet, Augmented reality, Technological innovation, Radar, Fingers, Springs. Abstract: As Taiwan is developing tourism industry in recent years, it has become an indispensable part of people's daily lives. However, current tourist guide system lacks an integrated solution and travelers have difficulties to obtain the information on attractions due to outdated data. Moreover, available on-line tourist guide apps with google map navigation lack technical breakthrough and innovation. In this research, augmented reality (AR) tourist guide system is developed to construct a backstage database system for automatically updating attractions data. A new framework from Android called “Actionbar Scrollable Tabs” for UI design is used with mobile web technology. The main purpose is to let users gain overall knowledge and the latest information with tour guide system, furthermore, to get rid of tourist guide problems.
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4,149
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Please write an abstract with title: Maximum Efficiency Tracking of a Three-coil Inductive Power Transfer System for Wireless EV Battery Charging Applications, and key words: Wireless Power Transfer, Inductive Power Transfer, Maximum Efficiency Tracking, Model Predictive Control, P&O Algorithm, Three-coil IPT System, Coil Misalignment. Abstract: Inductive power transfer (IPT) systems are emerging as a superior technology compared to their conductive counterparts due to having more advantages in applications like electric vehicles, biomedical devices, industrial automation, and household appliances. Research interest in IPT systems having one or more intermediate coils has increased in recent years because of their benefits in terms of efficiency and transmission distance over traditional two-coil systems. However, both types of systems suffer from efficiency degradation due to load variation and coil misalignment since maximum efficiency only occurs at a narrow operating region. Although much research has been done on efficiency optimization of two-coil systems to avoid this issue, work done on IPT systems with three or more coils is not adequate. Conventional efficiency optimization methods employ different load matching techniques or maximum efficiency tracking based on perturbation and observation (P&O) algorithm. Load matching techniques generally require estimating mutual inductance and load resistance. P&O, on the other hand, being an iterative algorithm, is slow in operation and results in slow dynamics. To address these issues, this research proposes a hybrid model predictive control and perturbation and observation (MPC-P&O) based double-sided control technique to optimize the efficiency of a three-coil S-S-S compensated wireless battery charging system. Constant-current and constant-voltage (CC-CV) charging algorithm for the battery will be implemented using PI controllers at the secondary side. The proposed MPC-P &O controller expects to achieve optimum system efficiency and better dynamic response under load variation and coil misalignment. Simulation and experiments will be performed to validate the proposed control method and its efficacy.
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Please write an abstract with title: Reusable acoustic tweezers enable 2D patterning of microparticles in microchamber on a disposable silicon chip superstrate, and key words: Silicon, Substrates, Microfluidics, Acoustics, Two dimensional displays, Couplings, Surface acoustic waves. Abstract: We report the first demonstration of two-dimensional (2D) patterning of microparticles on a silicon superstrate via a plug-and-play reusable acoustofluidic setup. The proposed integrated device comprises two independent parts: (1) a silicon superstrate enclosed in a PDMS microfluidic chamber (containing the particles) and (2) a reusable lithium niobate (LN) piezoelectric substrate for generating standing surface acoustic waves (SSAW). The proposed method enables patterning of particles on a silicon superstrate with the aim of ultimately enabling 2D patterning of particles or cells on functional silicon micromechanical chips. Such a capability would enable functional applications such as diagnostics and biosensing. This contactless, label-free, low-cost technique would be widely employed in biological application regardless of shape, size, charge or polarity of samples.
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4,151
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Please write an abstract with title: High-Rate Constructions of Exact-Repair Regenerating Codes, and key words: Codes, Conferences, Symbols, Bandwidth, Maintenance engineering, Data transfer, Encoding. Abstract: Regenerating codes are a class of distributed storage codes proposed to reduce the bandwidth consumption in the node repair process. In this paper, we present explicitly a construction of exact-repair regenerating codes, which is a two-layer encoding structure that consists of concatenating an outer scalar maximum distance separable (MDS) code followed by an inner tailor-made MDS array code. These coded symbols are distributed across the storage nodes based on a family of combinatorial objects termed t-designs, and this sophisticated symbol placement enables that a failed node can be repaired by simple data transfer. Furthermore, our proposed regenerating codes generally have a high code rate and extend the parameter values of existing constructions.
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4,152
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Please write an abstract with title: Transient magnetic modelling of sensorless controlled induction machines, and key words: Sensorless control, Induction machines, Ferrite films, Soft magnetic materials, Magnetic flux, Magnetic materials, Saturation magnetization, Pulse measurements, Magnetic hysteresis, Stators. Abstract: Summary form only given. Omitting the rotor position sensor of field oriented controlled inverter fed induction machines is so far only possible by evaluating the transient electrical behaviour of the machine. In this paper, a combined model is presented which integrates a transient energetic model of the laminations hysteresis into a magnetic equivalent circuit model of the machine and thus enables an optimisation of shaft sensorless drives.
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Please write an abstract with title: Research on the anti-wind performance of transmission tower and early warning model under typhoon atmosphere, and key words: Tropical cyclones, Wind speed, Poles and towers, Stress, Wind forecasting, Mathematical model, Load modeling. Abstract: With the frequency and intensity of typhoon growing recent years, transmission lines in coastal areas are facing more severe challenges, such as tower collapse accidents which cause terrible consequences and are hard to recover. In that case, early-warning based on the typhoon prediction and tower-line dynamical system is positive to avoid these accidents. The collapsed tower in typhoon “Mujigae” were studied using finite element method to evaluate the anti-typhoon performance of the transmission tower structure for providing reasonable early warnings. Wind field of typhoon “Mujigae” was established according to yanmeng wind field theory and Shiyuan fluctuating wind speed spectrum. The wind field of typhoon can estimate wind velocity with time in a few hours and updated with newest observed typhoon data. Several average velocities were picked up as testing wind speed sections from natural wind speed to the maximum speed tower suffered in the established wind field. The mechanical analysis simulation was carried out under different wind speed sections and directions. The results show that the structural stress of the collapsed tower model exceeds the bearing range under applied typhoon wind field, which is consistent with the real accident. The relationship between maximum structural stress of tower components and wind field parameters can be concluded. Based on observed typhoon data and wind field theory, the key parameters of the future typhoon wind field can be estimated. Therefore, we can predict tower collapse accidents caused by typhoon and give early warning by analyzing the meteorological data of typhoon and the structure of the tower-line system according to the FEM simulation results.
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4,154
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Please write an abstract with title: Constrained Maximum Likelihood Channel Estimation for CoFAR, and key words: Maximum likelihood estimation, Computational modeling, Stochastic processes, Channel estimation, Transfer functions, Radar, Tools. Abstract: This paper considers estimation of channel state information of a radar system. The underlying radar signal model considered in this paper is based on a stochastic Green’s function. In this model, clutter returns can be modeled using a channel matrix with entries computed from fundamental physics using a stochastic Green’s function based approach. We propose a maximum likelihood (ML) channel estimation algorithm which can be expressed by a constrained least squares problem under independent and identically distributed (i.i.d.) Gaussian assumption. We first show that the adjacent channel transfer functions have close relationship in terms of a squared cosine similarity measurement. Then we set up a least squares problem under the squared cosine similarity constraint. It turns out that the derived optimization problem is a non-convex quadratically constrained quadratic programming, however, the strong duality holds. We solve the optimization problem using a semidefinite relaxation approach. Numerical simulations are provided to verify the performance of the proposed method on a dataset generated using the high-fidelity modeling and simulation tool RFView®.
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4,155
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Please write an abstract with title: Analysis on Characteristics of Drought Climate Change in Southwest China in 2006, and key words: Meteorology, Temperature distribution, Market research, Global warming, Ocean temperature, Rivers, Climate change. Abstract: The most parts of the east of southwest China had suffered the most serious drought since meteorological data had been recorded in 2006. The wider range drought had lasted for a long time and brought severe economic losses in this area. This paper was to analyze changes and distribution of temperature and precipitation in southwest China in 2006. By using daily temperature and precipitation data from 80 observation stations in southwest China covering Chongqing, Sichuan, Guizhou and Yunnan from 1997 to 2006. The monthly average of temperature and precipitation were calculated by mathematical statistical methods and thematic maps were made by the software named ArcGIS 9.3. The characteristic of Climate Change was analyzed for the southwest drought. The result showed that in 2006 the precipitation was generally low, and the temperature was high and the drought was serious in most of southwest China, especially in Chongqing, from June to August. The highest monthly mean temperature and the lowest monthly mean precipitation had occurred in the central area of Chongqing in 2006. The high temperature had last eighty days and was obviously higher in June than that in other months in Chongqing, Bijie and Sinan in Guizhou province, Suining and Nanchong in Sichuan province, and the central of Chongqing was the highest temperature area. The precipitation was significantly low especially from the mid July to the beginning of September in the east of the study area. The most prominent drought took place in the total Chongqing Nanchong and Suining of Sichuan province. In 2006, snowfall reduced about 20% than that in former years on Tibetan plateau, and this situation went against the warm air from south to the eastern part in southwest China. The subtropical convection obviously activated the location of subtropical anticyclone which was located more northward and westward than that in previous years, and the continental high atmospheric pressure stability controlled the east of Sichuan and Chongqing. The cold air turned weak in North China. These drought factors in southwest China caused the less precipitation and the higher temperature, etc.
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Please write an abstract with title: Multi-objective Operation of Community Integrated Energy Systems Based on NSGA-II, and key words: Economics, Conferences, Euclidean distance, Pareto optimization, Linear programming, Dispatching, Optimization. Abstract: The operation of community integrated energy systems (CIES) usually involves several optimal objectives and decision variables. Traditional evolutionary methods are difficult to solve the multi-objective optimization with large number of variables to be optimized. In this paper, an optimal CIES dispatching method based on NSGA-II is proposed for the multiple-objective operation. Objective functions are selected as decision variables and NSGA-II is used to obtain the objective values of Pareto optimal points. The Branch and Bound (BB) algorithm is adopted to determine the corresponding feasible solutions. The final operation strategy is chosen from the Pareto optimal points according to a typical principle with the minimum Euclidean distance. The proposed method can effectively address the multi-objective optimization of CIES with large number of variables. The feasibility and effectiveness of the proposed method are verified by case studies.
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4,157
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Please write an abstract with title: A Systematic Examination of Decentralized Ledger Applications using Ethereum and Hyperledger Fabric Models in a Blockchain Network, and key words: Blockchain, Smart Contract, Ethereum, Ganache, Hyperledger Fabric, Solidity. Abstract: Blockchain networks are growing cumulatively day by day in various forms of application domains. It has become the major choice for the present and forthcoming security considerations in the fields of public, private, and economical sectors. Along with these sectors, domains like Cloud Computing, Cyber Security, Internet-of-Things (IoT), Artificial Intelligence, Edge Computing, and Data Science etc. are migrating towards blockchain for better security replacements. A blockchain net- work is a distributed digital ledger that creates a sequence of blocks to store enormous data cryptographically. Data Encryptability, Data Transparency, Data Reliability, Data Integrity, and Data Immutability are a few of the important pedestals of blockchain. Apart from these, there exist many tools and API's to establish such networks in a variety of flavors. Our contribution to this paper is twofold: First, to establish blockchain networks using two network models like Ethereum and Hyperledger fabric. Second, to examine the performance of two network models regarding a few domain parameters by running applications with minimum hardware configurations. A conclusion is made about the suitability and sustainability of such models in applications that range from small to larger enterprise scales. Finally, the paper concludes with a brief discussion of difficulties, burden, and risks that annoys the developers of blockchain networks.
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4,158
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Please write an abstract with title: A CMOS frequency synthesizer for multi-standard wireless devices, and key words: Frequency synthesizers, Computer architecture, Transceivers, Communication standards, GSM, Multiaccess communication, Bluetooth, Phase locked loops, Charge pumps, Filters. Abstract: This paper presents a CMOS frequency synthesizer for wireless transceivers that support several communication standards namely GSM, WCDMA, IEEE 802.11b, and Bluetooth. The architecture is based on a multi-stage phase-locked loop where each stage differs from the others in the parameters of its charge pump and loop filter. It is designed using mathematical models and refined through simulation using different software tools depending on the required perspective. The architecture and the components presented pave the way to provide a low cost, fully integrated implementation.
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4,159
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Please write an abstract with title: Positioning System Based on Lidar Fusion, and key words: Point cloud compression, Location awareness, Laser radar, Monte Carlo methods, Navigation, Operating systems, Conferences. Abstract: Aiming at the problems of slow positioning speed and information loss in the process of autonomous navigation of robots, we propose the adaptive Monte Carlo Localization (AMCL) algorithm based on lidar data fusion under the Robot Operating System (ROS) development system, realizing the robot for faster positioning and navigation.
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4,160
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Please write an abstract with title: Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions, and key words: Synchronization, Filter banks, Linear systems, Markov processes, Graphical models. Abstract: For the analysis of data defined over irregular domains, the recent area of graph signal processing extends classical signal processing techniques to the case of graphs. A prominent idea in this context is the notion of graph shift, which provides a foundation for distributed signal processing over networks. Despite its distributed nature, successive implementations of graph shift require a synchronization over the network, which can be a restriction in practical applications. The main goal of this article is to review the recent advancements in random and asynchronous computations over graphs with a specific emphasis on asynchronous graph-filtering applications. This article describes the behavior of the randomized asynchronous graph shift from a linear system theory viewpoint while making connections with asynchronous fixed-point iterations and Markov jumpswitching systems. In the context of graph signal processing, two specific applications are considered. The first one combines polynomial filtering and asynchronous updates to compute the Fiedler vector for spectral clustering. The second one considers the asynchronous implementation of a given rational graph filter. Asynchronous graph filtering is also extended to implement polynomial graph filter banks and graph neural networks in an asynchronous manner. The considered applications have proven mean-squared convergence guarantees.
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4,161
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Please write an abstract with title: Fusional Modality and Distribution Alignment Learning for Visible-Infrared Person Re-Identification, and key words: Image color analysis, Task analysis, Cybernetics. Abstract: The Visible-Infrared Person Re-Identification (VI-ReID) task aims to retrieval pedestrian images with the same labels across different modalities. VI-ReID is a very challenging task due to the huge intra-modality variation and cross-modality gap. Existing methods are mainly based on the feature alignment to mitigate the modality’s gap, however, using only feature-level constraints does not mitigate cross-modality gap well. We propose a fusional modality and distribution alignment learning network (FMADALNet) to mitigate modality’s gap and align modality’s distribution to learn modality-shared feature representations. FMADALNet contains a lightweight fusional modality generation module (FMGM). FMGM constructs a fusional modality that incorporates heterogeneous image features and contains only modality-shared information to mitigate modality gap at the pixel-level. In addition, to mitigate the differences in the distribution of the different modalities, we design a Hetero-center Maximum Mean Discrepancy loss (HcMMD), which reduces the differences in the distribution of the different modalities in a displaying manner. Extensive experimental results on two public datasets show that our proposed method achieves impressive performance compared to state-of-the-art methods.
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Please write an abstract with title: Daily Rainfall Prediction Using One Dimensional Convolutional Neural Networks, and key words: Meteorology, Convolution, Feature extraction, Training, Humidity, Wind speed, Convolutional neural networks. Abstract: Rainfall is influenced by several factors, such as air temperature, humidity, and wind speed. But at this time, the weather conditions in the territory of Indonesia are increasingly uncertain, making them difficult to predict. The machine can learn the prediction of rainfall. This research proposed methods to predict rainfall within 14 days using ID Convolutional Neural Networks. Weather data were obtained from a weather observation station on Meteorological, Climatological, and Geophysical Agency (BMKG) website for ten years. First, data will be interpolated to fill in the missing value. Then the data will be segmented by overlapping and normalized to generalize the value of climate data to 0-1, including taking overlapping data to be an advantage in providing a linkage of sequential data values. Then the training and prediction process uses ID Convolutional Neural Networks. The accuracy generated using the Adam optimization model for testing data is 81.46%, and Loss is 0.0018.
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4,163
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Please write an abstract with title: An algorithm for the routing and wavelength assignment problem in WDM networks, and key words: Wavelength routing, Wavelength assignment, Intelligent networks, WDM networks, Optical wavelength conversion, Optical fiber networks, Lagrangian functions, Wavelength conversion, Wavelength division multiplexing, Bandwidth. Abstract: WDM provides the ability to divide the huge optical bandwidth available in fiber into lower-capacity wavelengths, and they can economically satisfy the growing demand for bandwidth. This paper studies the RWA optimization problem in a WDM network and provides an effective approach with reasonable computational complexity and good performance to solve this problem. We formulate the RWA problem as a minimizing-rejection-penalty problem. The approach combines the Lagrangean relaxation technique, the MSPAWG, a heuristic and subgradient method. In the NSFNET example, the influence on the overall rejection penalty from the number of converters and number of wavelengths installed is discussed. Also, the trade-off between the number of rejected connection demands and the disconnection ratio, which means the fairness of the rejection decision, by using different rejection penalties, is studied.
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4,164
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Please write an abstract with title: Developing Software for Motivating Individuals with Intellectual Disabilities to do Outdoor Physical Activity, and key words: Software, Interviews, Games, Prototypes, Software engineering, Navigation, Testing. Abstract: People with intellectual disabilities (IDs) often have a sedentary lifestyle that can lead to long-term issues like cardiovascular diseases, diabetes, obesity and depression. Few games and apps promoting physical activity for people with IDs exist, and they do not have a focus on the motivational aspect. This paper aims to find how to develop software that can motivate people with IDs to do physical activity outdoors. For this purpose, we have followed a design and creation research strategy using several qualitative methods such as semi-structured interviews with health care workers, special education experts and software engineers; a focus group with occupational therapists, physical therapists and software engineers; and a preliminary pilot user test with 3 users and 2 caregivers aiming to a test of the software on the field and at the refinement of its specifications. Having social interaction during the physical activity turned out to be a major motivational aspect of the system, whereas rewards systems did not attract much of the users' attention. Regarding the adapted navigational assistance, easy-to-read text, visual communication and street-level pictures were the key features to achieve successful and understandable guidance outdoors for people with intellectual disabilities.
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Please write an abstract with title: Dashboard Visualization Techniques in Information Security, and key words: Information security, Security, Data visualization, Task analysis, Tools, Testing, Risk management. Abstract: The usage of data dashboards is essential for ensuring fast and accurate decision making. A prompt understanding of the required parameters and their visualization are important components of information security management. This article describes a set of dashboard visualization techniques based on an advanced understanding of the tasks assigned to standardized roles in the information security field. A deep understanding of these roles is an integral component of the process of the creation of a dashboard visualization tool. The detailed visualization increases the speed of response to an information security incident, while an adaptation to a specific role enables more ergonomic representation of data.
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Please write an abstract with title: Robot cell digital twins as a tool for remote collaboration between organizations, and key words: Visualization, Digital twin, Standards organizations, Education, Collaboration, Organizations, Open systems. Abstract: The whole is greater than the sum of its parts" is a common summation of Aristotle’s famous thought. This phrase is now following reality. Working together has versatile advantages allowing us to examine things from divergent aspects and perspectives supported by the strengths of participating individuals. For complex tasks, simple digital platforms allowing to share documents, text, speech, and video are often not sufficient. Tasks including operation on sophisticated machines and other equipment are evident examples of this. These sophisticated machines are not necessarily physically available for everyone. However, digital alternatives of them can be. When connected with the physical world, enabling data flow in both directions and therefore implemented as digital twins, these systems allow true collaboration between people and machines independent of physical location. In this paper, digital twin implementations enabling efficient remote collaboration between two organizations are reported. These systems are not limited to research and education. Instead, utilization for remote deployment and maintenance tasks are possible.
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Please write an abstract with title: Effect of current sharing on the stability of transposed superconductors subject to rapid heat pulses, and key words: Stability, Superconductivity, Superconducting magnets, Wires, Temperature, Voltage, Cables, Thermal conductivity, Pulse measurements, Critical current. Abstract: A network model of a cabled superconductor that effectively incorporates the crossover resistance and the resistance between parallel strands has been used to obtain equations describing the motion of the currents in a cabled conductor when a region goes normal. These have been solved numerically, in conjunction with the heat flow equations appropriate to a fast pulse of heat applied at the edge of the conductor and the additional stability due to current sharing evaluated. I find that the crossover conductance is much less effective than the parallel conductance in enhancing stability. A current diffusion constant can be defined in terms of an effective resistance and an effective inductance for the cable. Current sharing is only significant in enhancing stability when this diffusion constant exceeds the thermal diffusion constant.
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Please write an abstract with title: Integration of a perovskite-based amplifier and photodetector system in rigid and solid substrates, and key words: Temperature sensors, Temperature measurement, Solid modeling, Temperature, Photonic band gap, Stimulated emission, Mathematical models. Abstract: During the last years, organometallic lead halide perovskites (LHP) have been widely studied as outstanding materials for photovoltaics and photonics applications [1] . These emerging semiconductors are fabricated by cheap and straightforward solution process techniques on polycrystalline film of the compound CH 3 NH 3 PbX 3 (X=Cl, Br, I). Their outstanding properties of these films include large absorption coefficients above the bandgap, high electronic mobilities, high quantum yield of emission at room temperature or tunable band-gap with the composition [1] . In this work, we exploit the excellent light emitting and photodetection properties of CH 3 NH 3 PbI 3 thin films to integrate a waveguide amplifier and a photodetector within the same LHP thin film deposited in both rigid (SiO 2 /Si) and flexible (nanocellulose) substrates. As illustrated in Figure 1a , the device is based on the refractive index contrast between the LHP, a poly(methyl methacrylate) capping layer the substrate to engineer the number of propagating modes and their propagation constant [1] . In particular, the geometrical parameters of the structure were carefully designed to propagate an excitation beam injected at the input edge of the structure together with the photoluminescence (PL) emitted by the LHP through a mode that is extremely confined in the semiconductor film (see Fig. 1a ). As a result, this bilayer structure demonstrates amplified the spontaneous emission (ASE) with extraordinary low thresholds (2 nJ) [2] . Moreover, the incorporation of electrodes on the top of the LHP allows us to study a photocurrent dependent on the excitation light ( Fig. 1b ), and with it to monitor electrically the generation of PL and ASE ( Fig. 1c ). Experimental results (symbols in Fig. 3c) are properly reproduced with the simulations carried out with a rate equation model (solid lines in Fig. 3c). Here, we carefully compare the generation of optical gain and photocurrent in rigid and flexible substrates and demonstrate that the choice flexible substrate does not significantly alter the performances of the device [3] . Therefore, this approach illustrates a new amplifier-photodetector device that can pave the road towards a flexible and wearable technology LHP based technology.
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Please write an abstract with title: CareBot: A Mental Health ChatBot, and key words: Analytical models, Data analysis, Mental health, Machine learning, Tools, Chatbot, Depression. Abstract: A large number of students face some sort of mental health illness such as depression, anxiety, stress, etc. Due to the lack of willingness or financial ability many students do not visit a college counsellor or seek professional help. The proposed system aims to ease this problem by providing a chatbot to students that would provide the required support similar to a counsellor or therapist. Recent use of technology in aiding with Mental Health recovery has proven to be highly effective in terms of machine learning. The method involves surveys, questionnaires, data analysis and natural language processing. The aim is to build an online platform through which the tool will function.
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Please write an abstract with title: Pedagogical issues in programming languages, and key words: Computer languages, Java, Education, Computer science, Programming, Computer industry, Application software, Testing, Problem-solving, Program processors. Abstract: Choosing a suitable programming language to use in teaching undergraduate courses is a critical issue. This paper discusses some issues in the choice of the programming language that need to be considered by faculty. These issues include choosing C++ versus Java, recursion versus iteration and using the advanced placement tests in computer science. We also discuss and suggest some design criteria that can be used to develop a programming language for undergraduate curricula which is more student friendly.
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Please write an abstract with title: PoI: Proof of Identity and PoDI: Proof of Data Integrity for Secure Data Deduplication in the Cloud, and key words: Cloud computing, Protocols, Hospitals, Data integrity, Force, Organizations, Cryptography. Abstract: Cloud storage is the decisive service for the organization, hospitals etc., for storing huge amount of data within their budget. But, Cloud Service Providers (CSPs) are facing the major problem of duplicate and redundant data being accumulated by Data Owners (DO) in the cloud storages. Deduplication is one of the major technique to solve the above problem but faces the major drawback in the form of security flaws. Secure deduplication is a very promising solution proposed by the researchers for addressing this issue. In this paper, problems like revocation of DOs, brute force attack and duplicate faking attack are addressed as part of secure deduplication. The proposed approach is having two protocols, namely, Proof of Identity (PoI) and Proof of Data Integrity (PoDI) which solves the above-mentioned problems. The proposed approach improves the efficiency of secure deduplication, enhances data privacy and addresses Data Owner (DO) revocation problem.
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Please write an abstract with title: Performance Effective Task Scheduling With Duplication - PETSD, and key words: Task analysis, Processor scheduling, Heuristic algorithms, Partitioning algorithms, Sorting, Time complexity, Scheduling algorithms. Abstract: As distributed computing is growing expeditiously, efficient task scheduling algorithms play a vital role in improving the resource utilization and enhancing overall performance of distributed computing systems. Among the numerous Directed Acyclic Graph (DAG) scheduling heuristics suitable for heterogeneous systems, the Performance Effective Task Scheduling (PETS) is known to be effective. This paper proposes Performance Effective Task Scheduling with Duplication (PETSD) algorithm. The task sequence is obtained based on PETS algorithm where the tasks are prioritized level by level based on their ranks. The tasks are scheduled as per the calculated task sequence and the predecessor tasks are duplicated in order to reduce the communication costs that incur due to the precedence constraints of the predecessor tasks that are scheduled on different processor. The calculated results reveal that the proposed PETSD algorithm provides better results than PETS.
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Please write an abstract with title: Harmonic distortion reduction in multi-level PWM modulators for audio power amplifiers, and key words: Pulse width modulation, Harmonic distortion, Power amplifiers, Space vector pulse width modulation, Switches, Pulse amplifiers, Frequency, Semiconductor optical amplifiers, Signal to noise ratio, Interpolation. Abstract: This paper presents a new methodology to reduce harmonic distortion in multilevel PWM modulators with uniform sampling. The proposed approach generates pulses with widths longer than a pre-determinate value. This ensures the needed time for the calculations and helps to reduce audio distortion introduced by the nonzero rise and fall time of the switches. Therefore the methodology allows smaller harmonic distortions than the inherent of uniform sampled PWM signals. Simulation results are presented.
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Please write an abstract with title: Open Fault Tolerant Method Using DPWM for Reducing Switching Loss in Three-Level Hybrid ANPC Inverter, and key words: Power system measurements, Silicon carbide, Switching frequency, Simulation, Switching loss, Fault tolerant control, Switches. Abstract: This paper proposes an open fault tolerant control for reducing switching loss in a three-level Si/SiC hybrid active neutral-point clamped (HANPC) inverter. The Si/SiC hybrid ANPC inverter consists silicon (Si) switches and silicon-carbide (SiC) switches. The HANPC inverter is more economical compared to the full SiC ANPC inverter and the full SiC ANPC inverter provides the high efficiency and power density almost the same as the full-SiC ANPC inverter. The Si switches operate with the low switching frequency according to the fundamental frequency, and the SiC switches have the high switching frequency depend on the carrier-based switching methods. The HANPC inverter has two neutral-states which make the pole voltage zero. Even if one of the Si switches for generating the neutral-states has an open fault, therefore, the inverter can output the normal three-phase current with the tolerant control. When the open fault tolerant control is applied, however, the Si switches operate with the high switching frequency same as the SiC switches. As a result, the Si switches have the high switching loss and overheat. To solve this problem, the fault tolerant control using discontinuous pulse width modulation (DPWM) is proposed in this paper. The proposed method is verified through simulation results.
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Please write an abstract with title: Patient History Tracking using Local Binary Pattern Histogram(LBPH) Algorithm, and key words: Fault diagnosis, Histograms, Hospitals, Tracking, Face recognition, Anesthesia, Telecommunication computing. Abstract: Currently hospitals maintain the patient details either manually or digitally. History of patients like disease caused, treatment undergone earlier, current status and details of each and every review are maintained for future reference. But in emergencies retrieving information of patients leads to waste of time and even this searching process delays remedial treatment and causes uncertain death to patients. Since in health care time is very critical, identifying patients and tracking patient details in emergencies can be done using efficient mechanisms. Even though existing systems use plenty of security identification solutions like patient-id, biometric methods like fingerprint and two factor authentication none of the method is as strong as facial recognition. This may also reduce the medical errors while identifying patients even if the patient is in unconscious state and to track the information and to reduce the time taken at each counter. Thus by integrating health care with Technology lots of solutions are given since technology can ease the heavy workload, the way the disease can be diagnosed and treated. Our proposed method will provide an efficient technique for patient identification and tracking the patient's history. Though the proposed method is based on a math pattern, it will keep the data safe and sound. The system will correctly identify if a person is allowed in certain floors or other restricted areas, or if they move out of their pre-defined territory. This method is suitable for nursing homes or Supporting Living Facilities to keep the patients in safe condition. By adding cameras along with facial recognition algorithms in patient rooms used to verify who was it would be easy to identify who were in the room before recording patient health information on video screens. Thus the proposed method uses facial recognition to track the patient history even if they are in unconscious state by using Local Binary Pattern Histogram (LBPH) algorithm. This algorithm describes original image in an enriched form by enhancing facial features obtained from intermediate images.. Thus by using the proposed method the time taken to identify patients and tracking their records can be reduced and so it can be used to revolutionize the way the patients are treated in the hospitals.
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Please write an abstract with title: Quantum states in a one atom maser, and key words: Masers, Atom optics, Quantum computing, Physics, Quantum mechanics, Optical pumping, Optical sensors, Quantum entanglement, Atomic measurements, Atomic beams. Abstract: The one atom maser is an archetype experiment of quantum optics, where the interaction is between the basic quantum components of a single atom and a single mode field, uncluttered by unwanted side effects. Thus the one atom maser is able to examine the most fundamental aspects of the atom light interaction. In this paper we review three of the most recent experiments on the very topical subject of photon Fock state creation. Namely the creation Fock states via trapping states, dynamical Fock state preparation using state reduction of lower state atoms arid finally the creation of Fock states on demand. In the two decades since its first operation, the one atom maser continues to operate at the forefront of quantum optics research having produced many first class results. We present some taste of future, as we turn the micromaser to quantum computing and the creation of exotic entangled states
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Please write an abstract with title: Recognizing Plant species using Digitized leaves- A comparative study, and key words: Deep learning, Support vector machines, Machine learning algorithms, Biological system modeling, Sociology, Probabilistic logic, Market research. Abstract: Plants play a crucial role in nature and the well-being of the population. They have a significant contribution towards ecological stability and are also sources of our needs like food, medicine, and essential commercial products. As a result of massive scale deforestation, topsoil erosion, and habitat destruction, both the number and type of plants' existing species are steadily declining. So, plantation and identification and classification of plant species are essential for preserving plant species and accelerated farm as it will help in the better understanding of plants. Nevertheless, they are difficult to exercise as plant identification needs domain knowledge and experience. However, due to advances in machine learning and deep learning, this problem is tackled correctly. Various machine Learning and Deep Learning algorithms like Support Vector Machine, Artificial Neural Network, Convolutional Neural Network, Probabilistic Neural Network have successfully experimented on plant leaf images to identify the species with near correct accuracy. This article attempts a comparative analysis of various approaches used for plant identification. Several experiments with Swedish leaves confirm the effectiveness of machine learning and CNN based classification model.
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Please write an abstract with title: A Dual Inverter Topology With Quasi-Isolated Power Supplies for More Electric Aircraft Applications, and key words: Topology, Inverters, Power supplies, Capacitors, Voltage control, Fault tolerant systems, Transformers. Abstract: Open-end load system fed by the dual inverter (DI) is a promising technique for more electric aircraft (MEA) applications. Yet, two isolated power supplies preferred by the DI are hardly available in most MEAs. To address this issue, a novel DI topology with quasi-isolated power supplies is proposed in this letter. A simple nonisolated H-bridge boost converter is adopted to generate the second power supply and, moreover, to compensate for the load zero-sequence voltage generated by the DI. The operating principle and the applicability of the proposed DI topology are presented. Besides, a simple decoupled system control strategy is proposed. It is revealed that the proposed DI topology can generate a very high output voltage from the single power supply, while the load control performance is hardly affected by the zero-sequence current. This is a prominent advantage for MEA applications. The experimental results have verified the validity of the proposed topology.
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Please write an abstract with title: Spatio-temporal Clustering-based Parking Area Division of Dockless Shared Bicycles, and key words: Roads, Urban areas, Clustering algorithms, Bicycles, Planning, Artificial intelligence. Abstract: With the rise of Dockless Shared Bicycles in cities, the rational division of docks for Shared bikes has become an important issue in urban road planning. In the initial stage of Dockless Shared Bicycles, randomly parked bicycles bring great pressure to urban road traffic because there is no fixed parking area. The appearance of an electronic fence has improved the user's shared bicycles specification to a certain extent. However, due to the variability of urban road planning, it is very necessary to optimize the parking area of bicycles regularly. In this paper, the cycling data of Shared bicycles are studied by using the Spatio-temporal clustering algorithm, the flow and parking rules of dockless Shared bicycles are explored to seek the optimal division of bicycles areas.
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Please write an abstract with title: NB-PLC Successful Transmission Probability Analysis, and key words: Meters, Noise measurement, Signal to noise ratio, Attenuation, Indexes, Smart grids, System performance. Abstract: Power line communication (PLC) is a crucial component of the information and communication technologies within smart grids (SGs). It can use the existing power-grid infrastructure to provide cost-efficient data transmissions. Consequently, PLC has been proposed as a key technology to support different SG applications. However, its performance gain might be degraded in the presence of channel attenuation and high unpredictable noise levels. In this study, we evaluated the performance of a narrow-band (NB)-PLC system, and we derived the corresponding successful transmission probability (STP). In addition, field measurements were conducted and the data used to confirm the derived STP expression and to assess the NB-PLC system performance. The theoretical and field measurement results show the dependency of PLC system performance on the selected channel and the transmission environment parameters.
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Please write an abstract with title: Achieving Immortality in Wireless Rechargeable Sensor Networks Using Local Learning, and key words: Robot sensing systems, Batteries, Sensors, Wireless sensor networks, Energy states, Wireless communication, Base stations. Abstract: Wireless rechargeable sensor networks have been studied in depth after the breakthroughs in wireless power transfer. In this paper, we propose an efficient decentralized recharging mechanism based on the use of a mobile energy charger (MC), restoring the energy supply to nodes in need.Our strategy is composed of an initialization phase, during which the MC moves in the network to learn the sensors’ location and to make an estimate of their consumption rate, followed by charging rounds where the charging schedule is dynamically computed based on the most up-to-date information collected.Our strategy is fully decentralized, uses only local communication between the MC and neighbouring nodes, operates under dynamic network conditions without any a-priori knowledge of the network, is based on simple computations by the MC with little memory requirements, and is highly effective in keeping the network perpetually operating and achieving immortality even in large networks.
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Please write an abstract with title: XML Interactive Data Analysis of Online Solutions for Students' Innovative Ability Training Integrating Engineering Intelligent Information Algorithms, and key words: Training, Technological innovation, Data analysis, Databases, Current measurement, XML, Mathematical models. Abstract: This paper conducts a questionnaire survey from the perspective of student management work, aiming to understand the cognition of college students on the cultivation of innovation ability, to clarify the various factors that hinder the cultivation of college students' innovation ability, and to provide a basis for building a system for the cultivation of students' innovation ability in engineering schools. Improve the mathematical modeling training system, build a mathematical modeling innovation research platform, a teacher’s cross-professional cooperative research platform and other measures to practice training mode, and finally store and manage XML documents through Oracle XML DB database, thus effectively realizing the unstructured data management.
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Please write an abstract with title: Piecewise uniform vector quantizers, and key words: Random variables, Bismuth, Vectors, Signal design, Piecewise linear techniques, Design engineering, Signal generators, Performance analysis, Multidimensional systems, Quantization. Abstract: The companding model for quantizer design and analysis has been frequently used in various instances. However, if the signal to be quantized is a vector, then the optimum companding system can be designed for only a limited number of distributions. On the other hand, piecewise linear companders can be designed for any signal density, generating quantizers that are uniform on each region of the compander. These systems, while not optimal, can have performances which are close to the optimum, and their analysis and implementation can be simpler than those of optimal systems. In this paper we analyze piecewise linear companders for asymptotic multidimensional quantization, and we suggest methods for their design.
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Please write an abstract with title: Applicability of UL 4600 to Unmanned Aircraft Systems (UAS) and Urban Air Mobility (UAM), and key words: Safety, Standards, FAA, Industries, Autonomous systems, Monitoring, Artificial intelligence. Abstract: Aviation is a conservative field with a focus on deterministic systems that continuously builds on known risks. Currently, available aviation design assurance methods using safety assurance standards are not suited for regulatory assurance of autonomous systems Aviation is facing enormous growth in Unmanned Aircraft Systems (UAS) and Urban Air Mobility (UAM) technology. The challenge for applicants and regulators is to assure system safety of autonomous systems. The automobile industry, which is similarly challenged by autonomous systems, is finding some possible solutions. This paper explores whether the aviation industry can apply those solutions to UAS and UAM assurance. ANSI/UL 4600, Standard for Safety for the Evaluation of Autonomous Products, is the first and only publicly available autonomous safety standard. This standard is backed by a certified non-profit standards organization, Underwriters Laboratories. This standard has been recognized as an international American National Standards Institute (ANSI) approved standard. The goal-based, technology neutral features of ANSI/UL 4600 make it adaptable to other industries and applications. It assures safety through monitoring safety performance, which enables the desired aviation regulatory approach. It reflects stakeholder views from Original Equipment Manufacturers (OEMs) who have contemplated the product liability for the design and manufacturing challenges associated with these new technologies. The applicability to the aviation industry can be understood in terms of these features: Goal-Based and Technology Neutral: ANSI/UL 4600 does not require a specific design approach or specific technology. The applicant company must present an auditable and defensible evidence-based safety case. Those central features of safety and auditability follow the Federal Aviation Administration (FAA) compliance philosophy and could be adapted to aviation. Continued Airworthiness with Monitored Safety Metrics: The FAA's desire to move to performance-based standards with risk-based strategy is supported by ANSI/UL 4600. Further, ANSI/UL 4600 recognizes that continued safety is even more important than one-time initial approval/acceptance, especially for learning systems used in problem-solving Artificial Intelligence (AI). Functional transformations of learning systems are continuously monitored by OEMs. Continued airworthiness could be assessed using this method even though the system is presumably fielded with unknown risks due to new and novel technology. Modernization of Regulatory Approaches: This methodology supports performance-based regulations with compliance required to enforce system-of-systems interoperability. Applicants could design and test appropriate to their technology while regulators can audit and check for safety case completeness. Over time, industry can standardize some portions of testing as the technology matures. Different standards and codified standard approaches could also be independently designed and adapted as technology becomes standardized across the industry. Aviation regulators are already on this path to make performance-based regulations where applicants have the choice of technology and standards that can support innovation. Industry and Public Stakeholder Engagement: The standard has undergone industry and public scrutiny in the automobile segment with considered reviews from technical, legal, and actuarial perspectives. The FAA and The MITRE Corporation (MITRE) have been working to implement a safety case umbrella that encompasses all facets of UAS and UAM development, operation, and maintenance. The safety case umbrella is a systems approach to combine specific UAS and UAM nuances as they relate to current regulatory structure. While the approach affords a performance-based and risk-based oversight of aircraft design and development, production, maintenance and operation, the current regulations were not written to address AI and specifically machine learning. Even when those advanced techniques are not used, small UASs often use commercial-off-the-shelf (COTS) technology and technology of unknown pedigree could also be assured by the regulators using that approach. The codified approach of ANSI/UL 4600 could be superimposed on the safety case umbrella approach based on current regulations. The exercise of creating an auditable safety case also increases applicant safety awareness and safety culture. For approval of UAS and UAM, this paper recommends a structured and practical framework with an evidence-based safety case, which also takes into consideration the current regulations for applicability to UAS and UAM safety.
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Please write an abstract with title: Work-in-Progress: Reliability Evaluation of Power SCADA System with Three-Layer IDS, and key words: Embedded systems, Computer aided software engineering, Industrial control, SCADA systems, Intrusion detection, Authentication, Passwords. Abstract: The SCADA (Supervisory Control And Data Acquisition) has become ubiquitous in industrial control systems. However, it may be exposed to cyber attack threats when it accesses the Internet. We propose a three-layer IDS (Intrusion Detection System) model, which integrates three main functions: access control, flow detection and password authentication. We use the reliability test system IEEE RTS-79 to evaluate the reliability. The experimental results provide insights into the establishment of the power SCADA system reliability enhancement strategies.
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4,186
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Please write an abstract with title: Errors in on-wafer measurements due to multimode propagation, and key words: Calibration, Measurement standards, Permittivity measurement, Electromagnetic measurements, Electromagnetic waveguides, Coplanar waveguides, Manufacturing, Geometry, Analytical models, Probes. Abstract: We study for the first time effects of multimode propagation in on-wafer conductor-backed coplanar waveguide (CB-CPW) standards applied to the vector network analyzer (VNA) calibration. We consider a two-step calibration approach that relies on a preliminary system calibration using standards on a manufacturer's precision substrate and then additional measurements made on custom on-wafer standards to account for differences in the probe-tip-to-line geometry and substrate permittivity. We simulate multimode effects in the transition between an on-wafer probe and the CB-CPW using a 3D electromagnetic (EM) numerical analysis and from that we determine errors in the S-parameters measurements, which result from the multimode propagation. We show that they may severely affect the measurements when calibration standards are lengthy.
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Please write an abstract with title: Improving Robustness of Deep Transfer Model by Double Transfer Learning, and key words: Training, Robustness, Adaptation models, Machine learning, Task analysis, Perturbation methods, Feature extraction. Abstract: In recent years, deep learning models have been widely adopted for transfer learning tasks. The deep models, however, were shown to be easily attacked by adversarial examples, which is generated from original samples with the carefully designed small perturbations. Thus, the transfer learning models based on deep networks will also face this problem. Because of the particularity of transfer learning tasks, using the conventional adversarial training to improve the robustness of deep transfer models is very difficult. In this paper, we propose a novel Double Transfer Learning with Adversarial Training (DTLAT) method to enhance the robustness of deep transfer learning models. Our intuition is using the instances of the source domain and target domain to help with adversarial training. At the same time, we design a reverse transfer learning method to weaken the effect of attack methods and improve the performance of deep transfer models of target domain. We regard the adversarial examples from some kind of attack method, like FGSM, as an adversarial domain while try to improve the generalization ability on other attacks method. Experiments demonstrate that DTLAT exceed many other methods about improving the robustness of the deep transfer model on several benchmark datasets.
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Please write an abstract with title: Mobile Augmented Reality to Enhance Customer Experience while Purchasing Furniture, and key words: Augmented reality, Image color analysis, Business, Information systems, Size measurement, Androids, Humanoid robots. Abstract: With the rapid advancement in technology, the younger generations are more inclined to using their gadgets in almost all the activity they do. While buying furniture requires more consideration and is time-consuming, they tend to search for every information that they need on internet first, before taking further action of going to the physical store. Through the field research and interviews, it can be proven that customers in average need two or more trips before finally deciding to purchase. The proposed application is designed to help user find their way to the shop with a sufficient product knowledge and also reducing their consideration time to a faster purchase conversion. Augmented Reality will be used on the mobile application to let user see the color compatibility to the room and allow approximate size measuring. This is done by using a specific target size as a comparison to real life object size. Small size usability testing was conducted to several user, and the final result received great feedback as it was easily understood, self-explanatory and aided user to make decision faster. Eventually, the aim is that when the furniture arrives, customer will feel satisfied as a conclusion of their furniture purchase journey.
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Please write an abstract with title: Live Demonstration: A Low-Cost Wireless Instrumentation Control System, and key words: Instruments, Logic gates, Universal Serial Bus, Python, Wireless communication, Wireless fidelity, Protocols. Abstract: This demo presents a wireless automated measurement system based on a low-cost compact gateway developed in Python on a Raspberry Pi Zero W. It has been designed for VISA compliant instruments having an USB control port. The gateway is plugged to the USB connector of the instrument, converting the strings sent from the measurement host via Wi-Fi into SCPI commands forwarded to the instrument through its USB port and vice-versa. As in the gateway, the application running on the measurement host is developed on Python. The system is tested measuring the velocity of propagation of a pulse traveling along a coaxial wire at different distant probing points.
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Please write an abstract with title: PSO-based Design Procedure for Class-DE Inverter, and key words: Design methodology, Estimation, Inverters, Inductors, Particle swarm optimization, Optimization, Convergence. Abstract: In this research, a novel numerical design strategy is presented for the class-DE inverter design, which is based on particle swarm optimization (PSO) algorithm. Compared with previous numerical design methods based on Newton’s method, the proposed method shows convenience without restricting the number of design parameters. Additionally, no initial estimation is needed for ensuring convergence. Therefore, system-level optimization, which considers optimized inductor designs, can be realized. A design example of the class-DE inverter is shown in this paper. The numerical calculation proved the validity of the proposed design method.
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Please write an abstract with title: The improvement of genetic algorithm searching performance, and key words: Genetic algorithms, Convergence, Signal processing algorithms, Genetic mutations, Biological cells, Stability, Adaptive control, Educational institutions, Textile technology, Electronic mail. Abstract: The two-generation competitive genetic algorithm changes the selection method of simple genetic algorithms, and improves the search efficiency. However, this algorithm is easy to become premature, and the local best search ability cannot be improved. The improved genetic algorithm on these problems has been improved in this paper, thought an adaptive adjustment of the mutation probability, and the position of crossover and mutation in chromosomes. The searching speed and the ability of the local area search, the convergence stability and the global optimum accuracy are improved. It is shown in optimizing functions experiment that the improved algorithms can efficiently overcome the premature problem and increase the ability of the local best search.
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4,192
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Please write an abstract with title: How to Transform Kernels for Scale-Convolutions, and key words: Computer vision, Conferences, Supervised learning, Transforms, Convolutional neural networks, Kernel, Task analysis. Abstract: Scale is often seen as a given, disturbing factor in many vision tasks. When doing so it is one of the factors why we need more data during learning. In recent work scale equivariance was added to convolutional neural networks. It was shown to be effective for a range of tasks. We aim for accurate scale-equivariant convolutional neural networks (SE-CNNs) applicable for problems where high granularity of scale and small kernel sizes are required. Current SE-CNNs rely on weight sharing and kernel rescaling, the latter of which is accurate for integer scales only. To reach accurate scale equivariance, we derive general constraints under which scale-convolution remains equivariant to discrete rescaling. We find the exact solution for all cases where it exists, and compute the approximation for the rest. The discrete scale-convolution pays off, as demonstrated in a new state-of-the-art classification on MNIST-scale and on STL-10 in the supervised learning setting.
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Please write an abstract with title: The CantiClever. A dedicated probe for magnetic force microscopy, and key words: Probes, Magnetic forces, Magnetic force microscopy, Shape, Silicon, Atomic force microscopy, Magnetic recording, Area measurement, Density measurement, Current measurement. Abstract: Summary form only given. With the current rate of increase in areal density of magnetic recording systems, todays resolution of MFM needs to be improved in order to remain useful as a measurement tool. The resolution of MFM is amongst others determined by the geometry of the magnetic tip, which for commercial probes consists of a thin magnetic coating deposited on a pyramidal Si AFM tip. Analysis of the imaging process shows that the shape of these tips is not ideal. For higher resolution, the tip must be shaped as an elongated bar with a flat front end. In this contribution we present a completely new MFM cantilever, the CantiClever, which is not derived from traditional AFM probes but optimized for MFM. Our design incorporates the cantilever and the magnetic tip in a single manufacturing process with the use of silicon micromachining techniques, allowing for batch fabrication of the probes. We realise the ideal tip shape by deposition of the magnetic material (Co) on the side of a free hanging silicon nitride layer.
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Please write an abstract with title: Legal and Compliance Part 2, and key words: Cloud computing, Organizations, Law, Standards organizations, Stakeholders, Risk management, Regulators. Abstract: This chapter discusses the legal and compliance challenges in cloud computing. The global, decentralized nature of cloud computing presents numerous issues that we are just now grappling with in our endeavors to protect privacy rights, meet compliance demands, and maintain a secure computing environment. This chapter covers effective risk management, risk metrics, and strategies for an effective risk management program. Policies are one of the foundational elements of a governance and risk management program. They guide the organization, based on standards and guidelines. Policies ensure that the organization is operating within its risk profile. Policies actually define, or are the expression of, the organization's risk tolerance. Cloud computing as it exists today has commoditized compute, storage and networking services. Enterprise risk management has shifted in response to this change. It is vitally important that both the customer and the provider focus on risk management and the challenges presented with cloud computing. The cloud customer (in the role of data owner) is ultimately responsible for ensuring control effectiveness, but stored data, security, and risk management require a partnership between the customer and provider.
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Please write an abstract with title: Preliminary computational studies of flash boiling for fuel injectors in gasoline direct injection automotive engines, and key words: Fuels, Petroleum, Automotive engineering, Engines, Spraying, Pistons, Temperature, Electromagnetic heating, Predictive models, Production. Abstract: A flash boiling model is being developed to capture the effects of bubble nucleation and growth inside an injector. This model will be applied to the study of flash boiling fuel injector sprays in gasoline direct injection (GDI) automotive engines. There is potential for flash boiling to reduce drop sizes, increase spray cone angles, and ultimately produce more favorable combustible fuel mixtures for a GDI engine than before. In order for that potential to be realized, however, more work needs to be done to understand how flash boiling can be promoted by heating the fuel and introducing additional nucleation sites. With this concern in mind, a quasi one-dimensional nozzle flow model is being developed to help quantify the effects of various methods that could be used to promote flash boiling. This model features a discrete mass group approach to capture the effects of a bubble size distribution on bubble growth and void fraction development. Simulations were made for a converging water nozzle, and preliminary results show that capturing a bubble size distribution is important for multiple and distributed sources of bubble nucleation. Future work will involve coupling this internal nozzle model with a flashing spray model to predict the characteristics of flashing GDI sprays.
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4,196
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Please write an abstract with title: Improving Energy Expenditure Estimation through Activity Classification and Walking Speed Estimation Using a Smartwatch, and key words: Legged locomotion, Estimation, Acceleration, Accelerometers, Support vector machines, Ground penetrating radar, Machine learning algorithms. Abstract: Energy expenditure (EE) estimation is an important factor in tracking personal activity and preventing chronic diseases, such as obesity and diabetes. The challenge is to provide accurate EE estimations in free-living environment through portable and unobtrusive devices. In this paper, we present an experimental study to estimate energy expenditure during sitting, standing and treadmill walking using a smartwatch. We introduce a novel methodology, which aims to improve the EE estimation by first separating sedentary (sitting and standing) and non-sedentary (walking) activities, followed by estimating the walking speeds and then calculating the energy expenditure using advanced machine learning based regression models. Ten young adults participated in the experimental trials. Our results showed that combining activity type and walking speed information with the acceleration counts substantially improved the accuracy of regression models for estimating EE. On average, the activity-based models provided 7% better EE estimation than the traditional acceleration-based models.
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4,197
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Please write an abstract with title: Power Flow Optimisation and Grid Integration of Wind Turbines with the Doubly-Fed Induction Generator, and key words: Load flow, Wind turbines, Induction generators, Wind energy, Reactive power control, Insulated gate bipolar transistors, Inverters, Power generation, Wind energy generation, Production. Abstract: In this work the integration of wind turbines with the electrical network as a conventional energy supplier is focused. A procedure to reduce the electrical losses on a doubly-fed induction generator drive and to attend to the new requirement of the power companies on wind energy conversion system is presented. The method is based on the control of the reactive power flow on a back-to-back converter consisting of 2 IGBT-inverters connected by a DC-link. The machine and mains side inverters allow together with the active power balance between generator and mains supply the production of reactive power on both rotor and net-side independently. The output LC-filter contribution is also taken into account. Experimental results from a 4 kW test bench are shown
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4,198
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Please write an abstract with title: Learning by observation with mobile robots: a computational approach, and key words: Mobile robots, Robot programming, Legged locomotion, Control theory, Laboratories, Human robot interaction, Keyboards, Vacuum systems, Speech synthesis, Assembly. Abstract: We present a computational approach to learning by observation (LBO) that allows users to program mobile robots by demonstrating a task. Unlike previous approaches, our system incorporates statistical-learning techniques and concepts from control theory to reduce the amount of domain knowledge needed to infer the intent of the user. To improve the generalization ability of the system, the user can demonstrate the task multiple times. We extract task subgoals from these demonstrations and automatically associate them with objects in the environment. As these objects move, the subgoals are updated accordingly. This gives our system the ability to learn from demonstrations performed in different environments. In this paper, we present the concepts used in our LBO system as well as experimental laboratory results in learning motor-skill tasks.
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4,199
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Please write an abstract with title: Application of Higher Harmonics Generation Mode in the Low-Voltage Vacuum Electronic Device with Non-Laminar Electron Beams to Achieve Millimeter-Band Operation, and key words: Low voltage, Millimeter wave devices, Electron beams, Power system harmonics, Frequency conversion, Harmonic analysis, Vacuum electronics. Abstract: Application of higher harmonics generation mode in a compact low-voltage vircator-type vacuum electronic device utilizing nonlaminar electron beams operating in millimeter band is considered and preliminary experimental results are reported. Higher harmonics generation was achieved by formation of translaminar electron layer through the choice of the optimal voltages for the control electrode and electron beam inhibition by the electrostatic field of the collector. This approach allowed for dense electron grouping in nonlaminar electron beams that provided the growth of the amplitude of the higher harmonics in the output power spectrum. In this system, the increase of the fundamental operating frequency by application of external magnetic field was experimentally demonstrated. If combined with higher harmonics generation mode, this can lead to significant increase of resulting operating frequency of the compact low-voltage system to millimeter wavelength band.
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