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12,100 | Please write an abstract with title: Managing practicum program in the digital era: a case study of Universiti Utara Malaysia, and key words: Computer aided software engineering, Information technology, Industrial training, Educational institutions, Collaborative work, Portals, Information management, Computer science, Programming profession, Usability. Abstract: The purpose of this paper is to share the experience of the Center for Industrial Placement (CIP), Universiti Utara Malaysia (UUM) in managing practicum program since early 1990s. Special focus is made on the use of information technology in assisting the whole CIP's administration. In particular, the discussion addresses some questions, which are what are the current major activities supported and unsupported by information technology and how these supported technologies can be enhanced in term of their features and functions. In order to suggest possible improvements, discussion among management team and an analyst programmer and think-aloud usability testing were conducted with all key personnel in the department. |
12,101 | Please write an abstract with title: Two-dimensional spectrum analysis in sonic logging, and key words: Array signal processing, Data acquisition, Transmitters, Apertures, Acoustic waves, Acoustic measurements, Magnetostriction, Signal processing algorithms, Spatial resolution, Nuclear measurements. Abstract: Properties of the rock formation surrounding a fluid-filled borehole can be measured by sonic logging. Full-waveform recordings made by a receiver array are routinely processed to estimate the compressional and shear velocities. Other wave components, such as the normal modes, can be extracted by using two-dimensional spectral analysis techniques. A limited spatial array aperture constrains the resolution of techniques based on beamforming or Fourier analysis. The method discussed here employs the extended Prony method to do a high-resolution spatial-frequency analysis. Examples are presented to illustrate the method when tracing the velocity dispersion of the normal modes of the acoustic wavefield. |
12,102 | Please write an abstract with title: Noninvasive measurement of blood glucose based on optical sensing, and key words: Noninvasive treatment, Blood, Sugar, Optical sensors, Calibration, Medical treatment, Probes, Predictive models, Plasmas, Error analysis. Abstract: This paper describes a new noninvasive measurement of blood glucose based on an optical sensing. This uses Fourier transform infrared spectroscopy of attenuated total reflection. Measurement of blood glucose in in-vitro was carried out by using a whole blood samples. Thereafter, noninvasive measurement was carried out by using 10 subjects. This paper also shows the noninvasive measurement accuracy for glucose contents and describes practical application of this method. |
12,103 | Please write an abstract with title: Compensation for step-load variations when applying synergetic control, and key words: DC-DC power converters, Switches, Control systems, Control system synthesis, Hardware, Switching converters, Control design, Nonlinear control systems, Differential equations, Force control. Abstract: The theory of synergetic control was introduced in a power electronics context in the previous paper (Santi et al. (2002)). In this paper we review the theory, then focus on some practical aspects with reference to both simulations and actual hardware. In particular, we address the step load response and experiment with several different approaches. Adaptive and other control laws are introduced to improve the control performance. A small-signal analysis is presented, which allows prediction of the closed-loop response time. |
12,104 | Please write an abstract with title: Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs, and key words: Training, Semantics, Training data, Data models, Mobile applications, Sparse matrices, Smart phones. Abstract: With the popularity of smartphones, mobile applications (mobile apps) have become a necessity in people's lives and work. Massive apps provide users with a variety of choices, but also bring about the information overload problem. In reality, the number of apps that users have used is very limited, resulting in a very sparse interaction matrix between users and apps. It is not accurate enough to use a sparse interaction matrix to predict numerous unknown ratings, so that the recommended results cannot satisfy users. This paper aims to exploit the user's historical behavior data and the app's side information to make app recommendation to solve the problem of information overload. Specifically, first of all, multiple semantic meta-graphs are designed by leveraging the user information, app information, user historical usage record information, and app's side information. Then, similarity matrices between users and apps based on different semantic meta-graphs are obtained. The graph neural network with the attention mechanism is employed to learn the collaborative information between users and apps, and to selectively aggregate the feature information of the neighbors. Finally, the multi-view learning and attention mechanism are adopted to obtain users' ratings for apps from different perspectives. Comprehensive experiments with different numbers of training samples show that the proposed method outperforms other comparison methods. |
12,105 | Please write an abstract with title: Implementing a Robust IoT Solution to Monitor Prone Position using Machine Learning Techniques, and key words: Heart, Tracking, Conferences, Neural networks, Sleep apnea, Internet of Things, Biomedical monitoring. Abstract: It is essential to monitor sleeping patterns and position in order to learn about one's health state in order to enhance it and minimize sleep apnea. The use of a bed-mounted seismometer device to track the heart and respiratory patterns, as well as physical movement and attitude, while sleeping is discussed in this paper. The Internet of Things (IoT) and its gadgets and systems are becoming a part of everyday life. They are primarily used to track everyday tasks, particularly those that are relevant to individual health and wellness. As a matter of fact, and it's becoming increasingly important throughout the COVID-19 outbreak. A intelligent tracking and warning Internet of Things system known "NEF" was updated in this work to detect on-bed movement patterns, such as the prone position, using a variety of neural network models. On-bed movement patterns were recorded from seven different participants. The models derived using deep network were the most accurate when just the prone and supine postures were included. Random forest, on the other hand, produced the greatest total proportion of properly analysis refers to a set. Beddings such as pillows and blankets are expected to be investigated in greater depth in the future. |
12,106 | Please write an abstract with title: Lightning Location System Database Construction And Application in AnHui Province, and key words: Lightning, Databases, Servers, Monitoring, Business, Real-time systems, Storms. Abstract: The lightning location system in Anhui province are introduced. Under the environment of SQL Server 2005, lightning location system database is established, unifying the lightning location data storage form and promoting the application of lightning location data and its secondary development. In combination with Doppler radar products, lightning nowcasting warning system has been developed. Strengthened The live monitoring, nowcasting forecast of lightning and early warning products published through web benefit the public a lot and supply the reference for forecasters in the process of early warning signal production. |
12,107 | Please write an abstract with title: Stability Analysis of a DC Microgrid With Constant Power Loads Using Small-Signal Equivalent Circuit, and key words: Constant power loads, DC microgrids, Droop control, Dynamic response, Small-Signal analysis. Abstract: This paper investigates the small-signal stability of a DC microgrid contains constant power loads (CPL). The microgrid includes interlink converters (IC), linear loads, and CPL units. IC units comprise of voltage control units and current management unit which affects output impedance of the converter. Also, the input admittance of CPL is changed by its voltage control unit. In this study, the small-signal models of IC and CPL units are obtained regarding their control systems. Moreover, the node analysis is employed to obtain dominant modes of the overall DC system using the small-signal equivalent circuit. It is shown that the dominant modes of the microgrid are mainly dictated by the CPL units. Furthermore, the sensitivity analysis of these modes is examined by the pole placement method. The main advantage of this method is its deep insight into the effect of dc microgrid parameters on the dominant poles. The proposed method of sensitivity analysis is validated by the results of real-time simulation in MATLAB Simulink software. |
12,108 | Please write an abstract with title: Two-Color Laser Induced Electron Emission, and key words: Stimulated emission, Schrodinger equation, Free electron lasers, Metals, Laser modes, Electron emission, Plasmas. Abstract: Ultrafast electron emission is important to free electron lasers (FELs), laser acceleration of relativistic electrons and electron sources. It is also important to the development of novel vacuum nanoelectronics [1]–[3]. Two-color laser pulses have been used to produce ultrafast electron emission from a metal nanotip, showing great control of the dynamics and distribution of electrons [4]. We present an analytical model for ultrafast electron emission from a metal-vacuum interface due to two-color laser fields, by solving the time-dependent Schrodinger equation [5]. Our exact solutions are valid for arbitrary fundamental and harmonic laser frequencies, laser intensities, phase difference between the two-color lasers, metal work function and Fermi level. The results are in a good agreement with the experiments [4]. Different electron emission mechanisms such as multiphoton absorption or emission, optical field emission and single-photon induced over-barrier emission are revealed in a single formulation. |
12,109 | Please write an abstract with title: High-Q EIT in dielectric metasurface with electric-magnetic coupling, and key words: Dielectrics, Resonant frequency, Couplings, Resonators, Optical sensors, Metamaterials. Abstract: The determination of the resonance state in the transmission spectrum of the metamaterial takes into account the coupling between the modes inherent in the individual rectangular dielectric resonators and the resonance. The planar all-dielectric metasurface unit cell consists of three single sub-wavelength “dielectric particles”, in this paper. The design structure can excite high-Q EIT transparent window, which is sensitive to environmental changes, and may be used as a multifunctional platform for optical material interaction in optical spectroscopy and sensing applications. |
12,110 | Please write an abstract with title: Design and Research of Substation Measurement System Based on Internet of Things Technology, and key words: Substations, Conferences, Energy measurement, System integration, Smart grids, Internet of Things, Reliability. Abstract: This paper proposes a design scheme of LoRa technology substation measurement system. Based on LoRa technology, the system which integrates the power internet of things and the smart grid is designed. Performance tests are conducted to verify the feasibility of the scheme. The results show that this solution can be applied to substation measurement systems, and can improve reliability and reduce costs. |
12,111 | Please write an abstract with title: Rigid-Profile Input Scheduling Under Constrained Dynamics With a Water Network Application, and key words: Dynamic scheduling, Schedules, Optimization, Irrigation, Load modeling, Quadratic programming. Abstract: The motivation for this work stems from the problem of scheduling requests for flow at supply points located throughout an automated network of open-water channels. The off-take flows are rigid-profile inputs to the system dynamics. In particular, the channel operator can only shift orders in time to satisfy constraints on the automatic response to changes in the load. This leads to a nonconvex semi-infinite programming problem, with a sum-separable cost that encodes the collective sensitivity of end-users to scheduling delays. The constraints encode the linear time-invariant continuous-time dynamics and limits on the state across a continuous scheduling horizon. Discretization is used to arrive at a more manageable approximation of the semi-infinite program. A method for parsimoniously refining the discretization is applied to ensure continuous-time feasibility for solutions of the approximate problem. It is then shown how to improve the cost without loss of feasibility. Supporting analysis is provided, along with simulation results for a realistic irrigation channel setup to illustrate the approach. |
12,112 | Please write an abstract with title: Hierarchical Cyber Troll Detection with Text and User Behavior, and key words: Social networking (online), Publishing, Conferences, Feature extraction, Classification algorithms. Abstract: The cyber trolls in social media have threatened users' personal rights and social order. By publishing offensive and disgusting comments on social media, cyber trolls try to shift the focus of the discussion, provoke others, and even trigger antagonistic behaviors among groups. Most of existing studies were based on English scenes. These methods mainly distinguished the cyber trolls from ordinary users according to whether the comments were offensive or not. But the studies ignored the diversity and concealment of cyber trolls, so it was difficult to identify them pertinently and finely. This paper builds a new Chinese cyber troll dataset and presents a hierarchical cyber troll detection method based on text and user behavior. Starting from the behavior motivation of cyber trolls, we divide users into two levels: inactive and active. For each level of users, this paper proposes some new behavior indicators based on the user statistical features, and selects the text features with significant influence from the comments. Next, these two types of features are input into the XGBoost model for detection. Finally, the detected cyber trolls at each level are combined as the final detection result. Experiments on our dataset show that our method is superior to other baseline methods. |
12,113 | Please write an abstract with title: System Design and Experimental Research of Neural Signal Blocking based on Spike Trapping Principle, and key words: Pathology, Muscles, Signal processing, Pulse measurements, Anodes, System analysis and design. Abstract: Different neural signal blocking technologies provide potential therapy for various diseases caused by pathological or involuntary neural activities. In this paper, a novel neural signal blocking concept based on spike-trapping principle is introduced. The blocking system was designed and implemented. In the system, a compound action potential was induced by a proximal stimulus, and a blocking signal was generated after a neural signal was detected, which was applied to the distal end of the nerve to block the nerve conduction. The reliability of the system was verified on bullfrog sciatic nerve gastrocnemius muscle specimens. The optimal blocking signal parameters, the relationship between nerve diameter and blocking threshold voltage, and the nerve safety of blocking signals were explored. The experimental results show that the system is possible to block a pathological or involuntary neural signal automatically. The average voltage of block threshold and the minimum pulse width are -1.66 V and 120 ms, respectively. The blocking threshold decreases as the diameter of the nerve increases. The blocking signals at the threshold level are safe for the stimulated nerve. |
12,114 | Please write an abstract with title: Evaluation and Redesign of Lecturing Process to Improve the Effectiveness Business Process (Case Study: Telkom University), and key words: Printing, Time-frequency analysis, Simulation, Portfolios, Business, Information systems. Abstract: The iGracias Information System is an application owned by Telkom University used as a medium for disseminating campus information widely and quickly, as well as helping all Telkom university's entities to obtain the latest information regarding class activities. One of the most important processes in iGracias for lecturers is in the learning process. Starting from inputting lecture attendance, printing attendance lists, submitting BAP (Evidence of Study Implementation), printing lecture portfolios, and learning evaluations. In 2020, according to data obtained from PuTI (Information Technology Center) Telkom University, there were 50,407 access logs in iGracias related to lecturing process in the Information Systems study program. The existence of a very frequent access frequency and an important activity of iGracias, it is necessary to analyze and improve the lecturing process at iGracias in order to increase the effectiveness of iGracias Telkom University time and activities. The redesign process will be carried out using the Bizagi Modeler tool. The simulation result of business process exiting shows the time takes 290,9494445 hours and the utilization of lecturers on existing business processes is 0.04%. Meanwhile the business process targeting only takes 290,381111166667 hours for one process and the utilization of lecturers on targeting business processes is 0.03%. |
12,115 | Please write an abstract with title: A simple and efficient channel estimation for MIMO OFDM code division multiplexing uplink systems, and key words: Channel estimation, MIMO, OFDM, Code division multiplexing, Interference, Multicarrier code division multiple access, Frequency diversity, Partial transmit sequences, Wideband, Wireless networks. Abstract: In this paper, we propose a novel and simple uplink MIMO channel estimation technique based on spread pilots technique well suited to SS-MC-MA schemes. The combination with Alamouti code is studied and two different approaches are compared. As the interferences are mainly generated by the channel variance on the pilot sequence, we demonstrate the advantages of a chip mapping optimization. The performances evaluated over a realistic MIMO channel show the efficiency of this novel scheme which appears to be a promising channel estimation for the uplink of the future wideband wireless networks. |
12,116 | Please write an abstract with title: Unsupervised Learning of Low Dimensional Satellite Image Representations via Variational Autoencoders, and key words: Deep learning, Satellites, Graphical models, Geoscience and remote sensing, Image representation, Probabilistic logic, Encoding. Abstract: The growing number of images acquired by new satellite missions increases the interest of learning low dimensional image representations without human supervision. Variational AutoEncoders (VAE) are one of the most promising strategies marrying graphical models and deep learning. They are able to learn continuous, structured and probabilistic latent spaces encoding the data. In this work, a VAE architecture is proposed and analyzed for multispectral Sentinel-2 images. The regularized β-VAE is studied and compared with the classical auto-encoder strategy. A classification experiment is carried out to corroborate that generated latent spaces can preserve the salient features of the input data. Classification results show that high accuracies can be obtained by using low dimensional latent representation learned by VAE as input data in a standard classification approach. |
12,117 | Please write an abstract with title: Transfer Learning on EfficientNet for Maritime Visible Image Classification, and key words: Training, Deep learning, Image recognition, Transfer learning, Neural networks, Graphics processing units, Computer architecture. Abstract: The state-of-the-art in computer vision has significantly improved over the last few years as a result of the rapid development of deep learning techniques, the existence of large labeled datasets like ImageNet, and GPU acceleration developments. With the fast advancement of pre-trained models, transfer learning and fine-tuning are becoming more popular strategies for saving time and solving the problem of a shortage of data in image processing. For ship recognition, it is still a big challenge to obtain large labeled datasets like ImageNet. In this paper, we experiment with classifying the Marvel vessel dataset by reducing the training samples by half using transfer learning and fine-tuning strategies based on pre-trained EfficientNet (B0B5) as a backbone network to reduce training time and complexity. We also trained the most famous Deep Convolution neural network architectures, ResNet-152 and InceptionV3, and then compared the different architectures' accuracy results for the selected samples of the Marvel dataset. We achieved a significant improvement in classification accuracy compared to the previous state-of-the-art results for the Maritime Vessel (Marvel) dataset using the EfficientNet B5 architecture, with the highest accuracy of 91.60%. |
12,118 | Please write an abstract with title: On the approximate factorization of 2-D polynomials, and key words: Polynomials, Least squares approximation, Iterative algorithms, Multidimensional systems, Circuits and systems, Two dimensional displays, Stability, Remote sensing, Acoustics, Speech processing. Abstract: A method is presented for the approximate factorization of unfactorable bivariate polynomials. An efficient iterative algorithm is developed to minimize an appropriate criterion. The basic ideas can be easily extended to the case of polynomials in more than two independent variables. An example is presented to illustrate the utility of the method. |
12,119 | Please write an abstract with title: Dependence of SEUs in Digital Cameras on Pixel size and Elevation, and key words: Image sensors, Micrometers, ISO, Single event upsets, Very large scale integration, Streaming media, Cameras. Abstract: Determining how Integrated circuits' (ICs) soft (transient) errors (also known as Single Event Upsets or SEUs) change with elevation is important in many applications, both on Earth and in aerospace. We have been studying SEUs using camera sensors, which record SEUs as bright spots in a dark image. The most important advantage of camera pixels for this study is that they integrate the information over time until read out, creating a record of when/where cosmic ray particles collide with the IC, and the amount of the deposited charge. The study was done by collecting large numbers (100 's - 1000's) of images at exposures of ~30 sec. SEUs appear as brighter spots above the noise background of the sensor, typically 1 or 2 per image, that appear in a single dark frame within a stream of images. At higher camera gains (ISO) we can detect weaker SEUs but must deal with the noise at these long exposures. We use a Pixel Noise Distribution, obtained from the same set of images, to distinguish SEUs from the background noise. Previously we noted that the SEU rate/area changes with the elevation of the camera, as has been found in other ICs. We have measured this rate at elevations from 0 to 1100m, using cameras with pixel sizes from 4.1 to 6.5 microns at several gain (ISO) levels (as higher ISOs magnify weaker SEUs). We then compared our results to previously developed models of cosmic radiation changes with elevation. |
12,120 | Please write an abstract with title: Unequal error protection and progressive decoding for JPEG2000, and key words: Error correction codes, Decoding, Computer errors, Error correction, Protection, Image quality, Image coding, Image communication, Image reconstruction, Error analysis. Abstract: This paper presents an unequal error protection scheme based on the Plotkin construction for channel (error control) codes. The resulting codes offer the novel ability of using one long channel codeword to protect an entire image, yet still allowing progressive decoding. Progressive quality improvements occur in two ways: the first is the usual progressive refinement, where image quality is improved as more data are received; the second is that residual error rates of earlier received data are reduced as more data are received. |
12,121 | Please write an abstract with title: Self-Supervised Discovering of Interpretable Features for Reinforcement Learning, and key words: Task analysis, Decision making, Perturbation methods, Reinforcement learning, Jacobian matrices, Visualization, Games. Abstract: Deep reinforcement learning (RL) has recently led to many breakthroughs on a range of complex control tasks. However, the agent’s decision-making process is generally not transparent. The lack of interpretability hinders the applicability of RL in safety-critical scenarios. While several methods have attempted to interpret vision-based RL, most come without detailed explanation for the agent’s behavior. In this paper, we propose a self-supervised interpretable framework, which can discover interpretable features to enable easy understanding of RL agents even for non-experts. Specifically, a self-supervised interpretable network (SSINet) is employed to produce fine-grained attention masks for highlighting task-relevant information, which constitutes most evidence for the agent’s decisions. We verify and evaluate our method on several Atari 2600 games as well as Duckietown, which is a challenging self-driving car simulator environment. The results show that our method renders empirical evidences about how the agent makes decisions and why the agent performs well or badly, especially when transferred to novel scenes. Overall, our method provides valuable insight into the internal decision-making process of vision-based RL. In addition, our method does not use any external labelled data, and thus demonstrates the possibility to learn high-quality mask through a self-supervised manner, which may shed light on new paradigms for label-free vision learning such as self-supervised segmentation and detection. |
12,122 | Please write an abstract with title: A high performance 256K (512K) static ROM, and key words: Read only memory, Decoding, Circuits, Inverters, Voltage, CMOS technology, MOS devices, Propagation delay, Silicon, Parasitic capacitance. Abstract: A 256K ROM, fully expandable to 512K, has been fabricated. The ROM utilizes 2.5-/spl mu/m NMOS multiple threshold technology. It has a typical access time of 120 ns and uses push-pull circuitry to achieve an active current of 60 mA and a standby current of 1.9 mA. Total chip size is 39K mil/SUP 2/ for the 256K version. A modified X-cell has been chosen which requires 7.5 /spl mu/m. Current sensing was chosen to optimize access time. |
12,123 | Please write an abstract with title: Universal disturbance rejection for nonlinear systems in output feedback form, and key words: Nonlinear systems, Output feedback, Adaptive control, Uncertainty, Eigenvalues and eigenfunctions, Control design, Filters, State estimation, Stability, Error correction. Abstract: This note deals with global disturbance rejection via output feedback of a class of uncertain nonlinear systems subject to a class of unknown disturbances. Both the uncertainty in the system model and the uncertainty in the exosystem are tackled concurrently. The disturbances generated from an unknown linear exosystem are completely rejected. The order of the exosystem is assumed known, and the eigenvalues are distinct. The system is assumed in the format of the minimum-phase output feedback form, with no knowledge of the values of any system parameters, including the high-frequency gain. No other assumptions are needed in the control design. A new set of filters are introduced for state estimation. The stability of the internal model is exploited to design a new auxiliary error, involving both the unknown parameters of the reformatted exosystem and those of the system, which makes it possible to group all the unknown parameters in a format suitable to adaptive control design. A Nussbaum gain is introduced in adaptive control design to tackle the unknown high-frequency gain and a number of control coefficients are also made adaptive so that the disturbance rejection is global with respect to unknown frequencies in the disturbances. |
12,124 | Please write an abstract with title: Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning, and key words: Feature extraction, Training, Fault diagnosis, Testing, Training data, Data mining, Adaptation models. Abstract: Nowadays, the industrial Internet of Things (IIoT) has been successfully utilized in smart manufacturing. The massive amount of data in IIoT promote the development of deep learning-based health monitoring for industrial equipment. Since monitoring data for mechanical fault diagnosis collected on different working conditions or equipment have domain mismatch, models trained with training data may not work in practical applications. Therefore, it is essential to study fault diagnosis methods with domain adaptation ability. In this article, we propose an intelligent fault diagnosis method based on an improved domain adaptation method. Specifically, two feature extractors concerning feature space distance and domain mismatch are trained using maximum mean discrepancy and domain adversarial training respectively to enhance feature representation. Since separate classifiers are trained for feature extractors, ensemble learning is further utilized to obtain final results. Experimental results indicate that the proposed method is effective and applicable in diagnosing faults with domain mismatch. |
12,125 | Please write an abstract with title: Constraint-based Task Specification and Trajectory Optimization for Sequential Manipulation, and key words: Robot motion, Biological system modeling, Robot kinematics, Computational modeling, Transforms, Programming, Numerical models. Abstract: To economically deploy robotic manipulators the programming and execution of robot motions must be swift. To this end, we propose a novel, constraint-based method to intuitively specify sequential manipulation tasks and to compute time-optimal robot motions for such a task specification. Our approach follows the ideas of constraint-based task specification by aiming for a minimal and object-centric task description that is largely independent of the underlying robot kinematics. We transform this task description into a non-linear optimization problem. By solving this problem we obtain a (locally) time-optimal robot motion, not just for a single motion, but for an entire manipulation sequence. We demonstrate the capabilities of our approach in a series of experiments involving five distinct robot models, including a highly redundant mobile manipulator. |
12,126 | Please write an abstract with title: Motion planning for camera movements, and key words: Cameras, Robot vision systems, Automatic control, Motion control, Motion planning, Robotics and automation, Virtual environment, Road accidents, Smoothing methods, Cinematography. Abstract: Moving a camera through a (virtual or real) environment is a complicated task. Often a user is given direct control of the camera. Such direct control is difficult for inexperienced users and results in rather ugly camera motions that easily lead to motion sickness. In this paper we describe a new technique for automatic generation of camera motion using motion planning techniques from robotics. We focus here on motion in virtual environments. In our approach the user simply specifies a required goal position (and orientation) using e.g. a map, and the system automatically computes a smooth, collision free motion from the current position and orientation to the required position (and orientation) that can be used by the camera. As preprocessing, the approach uses the probabilistic roadmap method to compute a roadmap through the environment. When a motion is required, a path is obtained from the roadmap which is then improved by various smoothing techniques to satisfy constraints from cinematography. |
12,127 | Please write an abstract with title: Experimental validation of an analog spiking neural network with STDP learning rule in CMOS technology, and key words: Nonvolatile memory, Neurons, Voltage, Tunneling, Analog circuits, CMOS process, Transistors. Abstract: We report the design in CMOS technology and the experimental characterization of an analog spiking neural network with on-chip unsupervised learning. Long-term synaptic memory is implemented using a floating-gate device in a standard 150 nm CMOS process. The neurons are operated with a voltage supply of only 0.4V, allowing an extremely low power dissipation with an energy dissipation per synaptic operation of about 55 fJ. The CMOS chip includes the circuits for implementing real-time learning of the network based on the Spike Time Dependent Plasticity algorithm. During the learning, the neurons produce pulses of ±4.5 V that change the synaptic weight by activating tunneling currents to change the charge in the floating gates. |
12,128 | Please write an abstract with title: Development of Key Monolithic Circuits to Ka-Band Full MMIC Receivers, and key words: MMICs, Radiofrequency amplifiers, Local oscillators, Circuit noise, Microwave communication, Radio frequency, Resonator filters, Microwave devices, MIM capacitors, Microwave filters. Abstract: Key monolithic circuits to Ka-band full MMIC receivers have been designed and fabricated. Conventional hybrid-oriented elements such as RF image-rejection filters, LO dielectric resonators and IF hybrid couplers have been eliminated for the full MMIC configuration. Prospects have been obtained for realization of very-small-size microwave communication receivers. |
12,129 | Please write an abstract with title: On the Energy Efficiency of Multi-Cell Massive MIMO With Beamforming Training, and key words: Massive MIMO, Rician channels, Fading channels, Resource management, Antennas, Channel estimation. Abstract: This paper is concerned with a multi-cell downlink (DL) massive multiple-input multiple-output (MIMO) system operating over spatially correlated Rician fading channels. We not only consider estimating channel state information (CSI) at the base station (BS), but also adopt beamforming training (BT) to obtain CSI at the users. With maximum-ratio transmission (MRT) or zero-forcing (ZF) employed at the BS to process the transmit signals, the paper derives closed-form expressions of the sum spectral efficiency for both cases: with and without BT. Based on the obtained closed-form expressions, we investigate the effect of the DL pilot length on the system performance for MRT and ZF precoding and with or without BT. Moreover, when the DL pilot length falls within different ranges, we find out whether using BT leads to better system performance. To address the energy efficiency (EE) maximization problem under the constraints of a given sum spectral efficiency and a maximum total DL transmit power, we transform the problem into a geometric program (GP), which can be solved more efficiently. In particular, we develop one iterative power allocation algorithm for the system with BT scheme. Simulation and numerical results demonstrate that the proposed power allocation algorithm can improve the system EE. Numerical results also show that when the BS uses MRT precoding, the sum spectral efficiency in the high signal-to-noise ratio (SNR) region is much improved with BT. |
12,130 | Please write an abstract with title: Real-Time LSTM-RNN Classification of Floors With Different Friction Coefficients for a Walking Humanoid Robot Wearing a 3D Force System, and key words: Robots, Legged locomotion, Robot sensing systems, Humanoid robots, Sensors, Computational intelligence, Task analysis, Wearable robots. Abstract: In the study of biped humanoid robots it is crucial to achieve high precision and robustness in locomotion. Humanoid robots that operate in real world environments need to be able to physically recognize different grounds to best adapt their gait without losing their dynamic stability. This work proposes a technique to classify in real time the type of floor from a set of possibilities learnt off-line. Hence, the paper describes the collection and preparation of a dataset of contact forces, obtained with a wearable instrumented system, mixed with the information of the robot internal inertial sensor to classify the type of underlying surface of a walking humanoid robot. For this classification, the data are acquired for four different slippery floors at a rate of 100 Hz and it is used as input for a long short-term memory (LSTM) recurrent neural network (RNN). After testing different learning models architectures and tuning the models parameters, a good mapping between inputs and targets is achieved with a test classification accuracy greater than 92%. A real time experiment is presented to demonstrate the suitability of the proposed approach for the multi-classification problem addressed. |
12,131 | Please write an abstract with title: Human Fall Detection using Built-in Smartphone Accelerometer, and key words: Accelerometers, Time-frequency analysis, Neural networks, Senior citizens, Fall detection, Smart phones, Accidents. Abstract: Falls are serious health hazard issue among the aged people around the world. It’s a common accident for the elderly people living alone. Obviously, this accident can be timely reduced by using accurate fall detection method in order to reduce injuries and loss of life. For this purpose, we used smartphone-based fall detection method using the features of triaxial acceleration values of x, y and z which is obtained from the built-in accelerometer sensor embedded on our smartphones. We do a lot of daily activities like sitting, walking, standing, lying, and running. These were collected through accelerometer data. An app was used called Physics Toolbox Sensor Suite to take the data values which consist of accelerometer. The data values were taken through two positions one in chest pocket and another in pant pocket for both falls and non-falls. Also, intentional falls were also taken like fall -forward, fall-backward, right lateral fall, left lateral fall and so on. All these data were collected together to distinguish between fall and non-fall. These falls and non-falls were submerged together in a given time set keeping its frequency fixed along 6000samples from each data set through MATLAB. Then by using the Neural Net Pattern Recognition app leads us solving data classification problem using two-layer feed forward network. Using our data, we trained, validated and test the data through Neural Network Pattern Recognition, and achieved our classification accuracy to 90.6%. Using 67 data consisting of 26 falls and 41 non-falls. Basically, we classified and predict the data’s through offline activity recognition. Once the falling victim is detected his positions along its locations will be tracked. And instantly will send an alert to the caregivers for immediate assistance. |
12,132 | Please write an abstract with title: Privacy-Preserving Distributed Optimal Power Flow With Partially Homomorphic, and key words: Convex functions, Privacy, Load flow, Homomorphic encryption, Current measurement, Cryptography, Voltage measurement. Abstract: Distribution grid agents are obliged to exchange and disclose their states explicitly to neighboring regions to enable distributed optimal power flow dispatch. However, the states contain sensitive information of individual agents, such as voltage and current measurements. These measurements can be inferred by adversaries, such as other participating agents or eavesdroppers, leading to the privacy leakage problem. To address the issue, we propose a privacypreserving distributed optimal power flow (OPF) algorithm based on partially homomorphic encryption (PHE). First of all, we exploit the alternating direction method of multipliers (ADMM) to solve the OPF in a distributed fashion. In this way, the dual update of ADMM can be encrypted by PHE. We further relax the augmented term of the primal update of ADMM with the l1 -norm regularization. In addition, we transform the relaxed ADMM with the l1 -norm regularization to a semidefinite program (SDP), and prove that this transformation is exact. The SDP can be solved locally with only the sign messages from neighboring agents, which preserves the privacy of the primal update. At last, we strictly prove the privacy preservation guarantee of the proposed algorithm. Numerical case studies validate the effectiveness and exactness of the proposed approach. In particular, the case studies show that the encrypted messages cannot be inferred by adversaries. Besides, the proposed algorithm obtains the solutions that are very close to the global optimum, and converges much faster compared to competing alternatives. |
12,133 | Please write an abstract with title: Set point identification and robustness testing of electrostatic separation processes, and key words: Robustness, Testing, Electrostatics, Separation processes, Sorting, Particle separators, Wire, Performance evaluation, Control systems, Robust control. Abstract: Identification of the optimal operating conditions and evaluation of their robustness are critical issues for the industrial application of the electrostatic separation techniques. In spite of extensive investigations performed during recent years, no standard procedure is available for guiding the research of the set point and for minimizing the process sensibility to changes in certain critical factors. The aim of the present work is to formulate a set of recommendations regarding the choice of high-voltage, roll-speed, and feed-rate values for an important class of electrostatic separation applications: the selective sorting of conductive and nonconductive constituents of granular industrial wastes. The experiments were carried out on a laboratory separator, built by one of the authors, with various samples of chopped wire wastes furnished by ENICAB, Biskra, Algeria. Several one-factor-at-a-time followed by two factorial designs (one composite, the other fractional) were performed, based on the following three-step strategy: (1) identify the domain of variation of the controlled variables; (2) found the best choice of the set point; (3) asses the robustness, i.e; test whether the performance of the system remain satisfactory even when the factors vary slightly around that point. The results presented in this paper are strictly valid only for a well-defined category of processed materials, but a similar approach could be adopted for a wider range of electrostatic separation applications. |
12,134 | Please write an abstract with title: Study on customer value promotion strategy of China mobile communication industry, and key words: Mobile communication, Communication industry, Industrial economics, Costs, Aerospace industry, NIST, Customer satisfaction, Investments, Telephony. Abstract: The competition in mobile communication industry is becoming more and more fierce, how to improve customer value is a very important issue for mobile communication operators. This paper analyses the problems that operators have, and then proposes two solutions to enhance the customer value, one way is to enlarge customer scale and another way is to enhance ARPU (average revenue per user) value. By doing all of these, China mobile operators could get good customer satisfaction and customer faithfulness, which did great contributions to their continuous competitive predominance. |
12,135 | Please write an abstract with title: RSA Implementation on Sensor Data in Cold Storage Warehouse, and key words: Cryptography, Servers, Protocols, Internet of Things, Intelligent sensors, Encryption, TCPIP. Abstract: The sensors used in storage warehouses contain sensitive information hence if intercepted by miscreants, the security of the warehouse can be threatened. Thus, it is important to encrypt the data before sending it. Rivest Shamir Adleman - RSA has been used for encryption of smart sensor data. Transmission Control Protocol with Protocol Data Unit (TCP/IP with PDU) has been used for its transmission. The network has been simulated using Cisco Packet Tracer. |
12,136 | Please write an abstract with title: Learning the Subsystem of Local Planning for Autonomous Racing, and key words: Learning systems, Navigation, Lasers, Pipelines, Reinforcement learning, Planning, Optimization. Abstract: The problem of autonomous racing is to navigate through a race course as quickly as possible while not colliding with any obstacles. We approach the autonomous racing problem with the added constraint of not maintaining an updated obstacle map of the environment. Several current approaches to this problem use end-to-end learning systems where an agent replaces the entire navigation pipeline. This paper presents a hierarchical planning architecture that combines a high level planner and path following system with a reinforcement learning agent that learns that subsystem of obstacle avoidance. The novel “modification planner” uses the path follower to track the global plan and the deep reinforcement learning agent to modify the references generated by the path follower to avoid obstacles. Importantly, our architecture does not require an updated obstacle map and only 10 laser range finders to avoid obstacles. The modification planner is evaluated in the context of <tex>$\mathbf{F}1/10^{th}$</tex> autonomous racing and compared to a end-to-end learning baseline, the Follow the Gap Method and an optimisation based planner. The results show that the modification planner can achieve faster average times compared to the baseline end-to-end planner and a 94% success rate which is similar to the baseline. |
12,137 | Please write an abstract with title: A Sequential Approach for Sentinel-1 TOPS Time-Series Co-Registration Over Low Coherence Scenarios, and key words: Coherence, Electrostatic discharges, Azimuth, Synthetic aperture radar, Electromagnetic interference, Doppler effect, Orbits. Abstract: In the coming era of synthetic aperture radar (SAR) big data, the in-orbit Sentinel-1 mission will provide unprecedented data with an increasing volume. As a fundamental step of time-series analysis for such large and growing amount data, terrain observation by progressive scans (TOPS) co-registration still presents a relative challenge: 1) low coherence scenarios may degrade the estimate accuracy and 2) unprecedented and growing data volume increases the computational burden. To overcome both limitations, this article presents a sequential approach for TOPS time-series co-registration, with an emphasis on the enhanced spectral diversity (ESD) estimate accuracy over low coherence scenes. We first employ double sample over the burst overlap region to improve the statistical proprieties of sample covariance matrix, followed by ESD phase estimation using a phase linking algorithm. Then, we carry out the sequential co-registration on each mini-stack without the necessity for reprocessing the entire stack by introducing a data compression technique. Using synthetic data and real Sentinel-1 TOPS data over densely vegetated areas in the Yunan-Kweichow plateau, we fully evaluate the performance of presented approach and compare the results with those obtained from the state-of-the-art techniques. We found that the sequential approach can provide better time-series co-registration accuracy over low coherence scenes with the moderate computational efficiency. |
12,138 | Please write an abstract with title: A Hybrid Features–Based Target Detection Scheme for Maritime Radar, and key words: Maritime radar, object classification, pattern recognition, target detection. Abstract: The popular method of automatic target detection used for most maritime radar systems is constant false alarm rate. However, this technique seems insufficient to differentiate a real target from others. To overcome such a deficiency, a hybrid features–based target detection methodology is developed to distinguish between target and non–target objects for maritime radar. This approach combines echo signal detection based on constant false alarm rate and support vector machine classification using hybrid features extracted from objects resulting from connected–component labeling. The efficacy of the proposed approach is verified with datasets recorded from a real maritime radar system. |
12,139 | Please write an abstract with title: Radio Access Network Slicing Strategies at Spectrum Planning Level in 5G and Beyond, and key words: 5G mobile communication, Planning, Resource management, Network slicing, Capacity planning, Scalability. Abstract: The new fifth generation (5G) era has transformed previous mobile generations into fast, smart networks that will be more responsive and customizable. With network slicing, 5G networks can be dynamically adapted to the different needs of specific vertical industries. This capability has opened the opportunity to new business models whereby infrastructure owners can monetize their investment by leasing resources to third parties (i.e. tenants). In this respect, a challenging task for the owner of the radio access network infrastructure (i.e. the network provider) is the spectrum planning of multi-tenant scenarios. This paper proposes different alternatives of hiring capacity to the provider as well as a set of spectrum planning strategies, each giving a certain degree of flexibility to allocate resources per tenant. These strategies are evaluated in a 5G small cell multi-tenant network through snapshot-based simulations. The performance of the strategies is assessed in terms of scalability, spectrum isolation, utilization and efficiency. |
12,140 | Please write an abstract with title: Building a Motivating and Autonomy Environment to Support Adaptive Learning, and key words: Computer science, Adaptive learning, Neuroscience, Conferences, Buildings, Logic gates, Data structures. Abstract: This Innovative Practice Full paper presents an effort on fostering student motivation and autonomy in support of adaptive learning. Higher education has been transformed by digital technology to be more interactive, self-paced, and adaptive to students. But this technology presupposes that students possess autonomy and are innately well motivated. Unfortunately, many students entering college lack motivation and self-control. These dispositions retard self-paced adaptive learning and limit the effectiveness of imparting improved adaptability in this technology. Taking inspiration from the self-determination theory, we investigated, in the context of adaptive learning, the importance of nurturing student autonomy and enhancing student situated motivation. In this paper, we present our experiential study in a gateway core course of computer science, in which adaptive preparation and learning pedagogy has been adopted for four semesters, one semester without motivating support and others with this support. By comparing and analyzing student engagement and performance over these four semesters, we observe that nurturing student autonomy and enhancing motivation are critical factors in maximizing the effectiveness of adaptive learning. |
12,141 | Please write an abstract with title: 8 mm band FM fixed-distance radar, and key words: Frequency modulation, Equations, Doppler radar, Millimeter wave radar, Radar scattering, Radar applications, Ignition, Fuses, Voltage-controlled oscillators, Error analysis. Abstract: An 8 mm band FM fixed-distance radar, used in applications like ignition fuse, was developed lately. It employed autodyne receiver, whose front module was composed of 8 mm band VCO, horn, circulator and mixer. Triangular wave was employed as modulating signal and band pass filter was used to count the anticipant distance from the output signal. Ranging error analysis was also made |
12,142 | Please write an abstract with title: Gamification in Higher Education Instructors from Ecuador, Spain and Mexico, and key words: Education, Games, Pragmatics, Training, Media, Tools, Task analysis. Abstract: This research is oriented to the study of university teachers as a fundamental part of the teaching-learning process. To this end, an exploratory study is carried out in the Ecuadorian, Spanish and Mexican context through a sample of 260 teachers from both public and private universities of Social Sciences and Humanities with the objective of identifying the level of knowledge of teachers about gamification, subdividing the analysis into two macro-dimensions: generalities and pragmatic application. The results show that teachers in higher education institutions have more pragmatic than conceptual knowledge about gamification. Similarly, it was shown that teachers in public universities have more instruction about gamification than those in private universities. |
12,143 | Please write an abstract with title: TextFace: Text-to-Style Mapping Based Face Generation and Manipulation, and key words: Faces, Semantics, Codes, Generators, Generative adversarial networks, Image synthesis, Training. Abstract: As a subtopic of text-to-image synthesis, text-to-face generation has great potential in face-related applications. In this paper, we propose a generic text-to-face framework, namely, TextFace, to achieve diverse and high-quality face image generation from text descriptions. We introduce text-to-style mapping, a novel method where the text description can be directly encoded into the latent space of a pretrained StyleGAN. Guided by our text-image similarity matching and face captioning-based text alignment, the textual latent code can be fed into the generator of a well-trained StyleGAN to produce diverse face images with high resolution (1024×1024). Furthermore, our model inherently supports semantic face editing using text descriptions. Finally, experimental results quantitatively and qualitatively demonstrate the superior performance of our model. |
12,144 | Please write an abstract with title: Deep Learning-Based Radio Frequency Identification of False Base Stations, and key words: 5G Open RAN, 4G/5G SRS RAN, Deep Learning, RF measurement, I/Q-data. Abstract: Advances in mobile and wireless communications allow to handle the continuously increasing demands on the data volume and connectivity of users. The 5G Open Radio Access Network (RAN) concept offers a flexible and inter-operable solution enabling network operators to select equipment from different vendors. However, such a step can potentially increase security risks due to emergence of the false base stations (FBS) operated with a purpose to steal private information about mobile equipment users. In this paper, we introduce a simple deep-learning (DL) based classification method, working directly with In-phase and Quadrature (I/Q) data of a radio frequency (RF) signal, to identify a device working as FBS. To operate the legitimate as well as the FBS, the srsRAN open-source software suite from Software Radio Systems (SRS), connected to three distinct software defined radio (SDR) devices, is used. |
12,145 | Please write an abstract with title: A Separation Principle for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds, and key words: Actuators, Schedules, Controllability, Sparse matrices, Linear systems, Observability, Eigenvalues and eigenfunctions. Abstract: We study the problem of jointly designing a sparse sensor and actuator schedule for linear dynamical systems while guaranteeing a control/estimation performance that approximates the fully sensed/actuated setting. We further prove a separation principle, showing that the problem can be decomposed into finding sensor and actuator schedules separately. However, it is shown that this problem cannot be efficiently solved or approximated in polynomial, or even quasi-polynomial time for time-invariant sensor/actuator schedules; instead, we develop a framework for a time-varying sensor/actuator schedule for a given large-scale linear system with guaranteed approximation bounds using deterministic polynomial-time algorithms. Our main result is to provide a polynomial-time joint actuator and sensor schedule that on average selects only a constant number of sensors and actuators at each time step, irrespective of the dimension. The key idea is to sparsify the controllability and observability Gramians while providing approximation guarantees for Hankel singular values. |
12,146 | Please write an abstract with title: HomoPAI: A Secure Collaborative Machine Learning Platform based on Homomorphic Encryption, and key words: Machine learning, Encryption, Logistics, Training, Collaboration. Abstract: Homomorphic Encryption (HE) allows encrypted data to be processed without decryption, which could maximize the protection of user privacy without affecting the data utility. Thanks to strides made by cryptographers in the past few years, the efficiency of HE has been drastically improved, and machine learning on homomorphically encrypted data has become possible. Several works have explored machine learning based on HE, but most of them are restricted to the outsourced scenario, where all the data comes from a single data owner. We propose HomoPAI, an HE-based secure collaborative machine learning system, enabling a more promising scenario, where data from multiple data owners could be securely processed. Moreover, we integrate our system with the popular MPI framework to achieve parallel HE computations. Experiments show that our system can train a logistic regression model on millions of homomorphically encrypted data in less than two minutes. |
12,147 | Please write an abstract with title: Inertial tracking for mobile augmented reality, and key words: Augmented reality, Accelerometers, Electric variables measurement, Layout, Silicon, Gyroscopes, Target tracking, Acceleration, Assembly systems, Angular velocity. Abstract: Augmented Reality applications require the tracking of moving objects in real-time. Tracking is defined as the measurement of object position and orientation in a scene coordinate system. We present a new combination of silicon micromachined accelerometers and gyroscopes which have been assembled into a six degree of freedom (6 DoF) inertial tracking system. This inertial tracker is used in combination with a vision-based tracking system which will enable us to build affordable, light-weight, fully mobile tracking systems for Augmented Reality applications in the future. |
12,148 | Please write an abstract with title: Secure transmission for NOMA systems with imperfect SIC, and key words: NOMA, Silicon carbide, Interference, Resource management, Fading channels, Transmitters, Signal to noise ratio. Abstract: This paper investigates secure transmission for non-orthogonal multiple access (NOMA) systems where the imperfect successive interference cancellation (SIC) is considered at both legitimate users and eavesdropper (Eve). A power allocation scheme is designed for the legitimate users to mitigate the effect of the SIC error caused by imperfect SIC. For characterizing the secrecy performance of the NOMA system, the closed-form expressions for connection outage probability (COP), secrecy outage probability (SOP), and effective secrecy throughput (EST) are derived over Nakagami-m fading channels in both NOMA and benchmark orthogonal multiple access (OMA) systems. We also provide security and reliability trade-off results (SRT) for the users in the NOMA and OMA systems. Simulation results verify our analysis and show that the strong users achieve better secrecy performance but worse reliability performance and NOMA outperforms OMA in terms of SRT. |
12,149 | Please write an abstract with title: Statistical evaluation of 4-Tb/s PAM4 DCI system with slope-compensating FBG-TDCM, and key words: Optical fiber communication, Data centers, Bragg gratings, Chromatic dispersion. Abstract: We describe a 50-GHz channelized FBG-TDCM offering slope compensation over the full C-band which is suitable for DWDM PAM4 systems. We present comprehensive system performance results comprising 1,120 link measurements, with a novel statistical approach to account for variations in component characteristics and link impairments. |
12,150 | Please write an abstract with title: Sustainable Marine Ecosystems: Deep Learning for Water Quality Assessment and Forecasting, and key words: Sea measurements, Water quality, Ecosystems, Aquaculture, Forecasting, Feature extraction, Europe. Abstract: An appropriate management of the available resources within oceans and coastal regions is vital to guarantee their sustainable development and preservation, where water quality is a key element. Leveraging on a combination of cross-disciplinary technologies including Remote Sensing (RS), Internet of Things (IoT), Big Data, cloud computing, and Artificial Intelligence (AI) is essential to attain this aim. In this paper, we review methodologies and technologies for water quality assessment that contribute to a sustainable management of marine environments. Specifically, we focus on Deep Leaning (DL) strategies for water quality estimation and forecasting. The analyzed literature is classified depending on the type of task, scenario and architecture. Moreover, several applications including coastal management and aquaculture are surveyed. Finally, we discuss open issues still to be addressed and potential research lines where transfer learning, knowledge fusion, reinforcement learning, edge computing and decision-making policies are expected to be the main involved agents. |
12,151 | Please write an abstract with title: Low Profile Implantable Antenna for Fat Intra-Body Communication, and key words: Antenna measurements, Microwave antennas, Microwave measurement, Muscles, Microwave communication, Loss measurement, Skin. Abstract: A flexible low profile biocompatible implantable antenna for fat intra-body communication is presented. This article gives an idea of fat channel communication at different distances. The antenna is designed on 0.25 mm thick low loss taconic material. The antenna is covered by 0.1 mm thick PDMS (Polydimethylsiloxane) to ensure biocompatibility with human tissue. A coplanar wave (CPW) microstrip line is used to feed the antenna. This antenna has been optimized to operate at the 2.4 GHz ISM band frequency in the human three-layer tissue model. The simulation, as well as measurement, were done at a minimum distance of 10 mm, and the maximum distance of 70mm between of two implantable antennas. The measured path loss of the fat channel by using the proposed implantable antenna is estimated to be almost 2.5 dB per centimetre. The measured bandwidth of the proposed antenna found to be 660 MHz. |
12,152 | Please write an abstract with title: Course Model Research of OBE in “Internet Plus” Era, and key words: Education, Predictive models, Internet, Technological innovation, Software reliability, Analytical models. Abstract: Aiming at solving the problems of emphasizing theory and neglecting practice in the courses on financial management, this paper introduces the concept of OBE(Outcome Based Education) into the course of financial management in higher continuing education. This paper collects the data of 8 classes have had financial management course by questionnaire survey, and divides the data into two groups for comparative analysis: the traditional group and the OBE group. Our result shows that: (1) the teaching effect under the OBE is significantly different from that of the traditional teaching method; (2) the effect of OBE on students' classroom behavior and learning effect is greater than that of the traditional teaching method. |
12,153 | Please write an abstract with title: Probabilistic Prediction of PV Ramp Events Based on LSTM-Bootstrap, and key words: mRMR, PV ramp prediction, LSTM, Bootstrap statistical methods. Abstract: In recent years, renewable energy has received widespread attention. However, due to the impact of climate change, the output power of photovoltaic (PV) power generation is highly variable, which poses a challenge to grid scheduling. The PV power ram event, i.e. the drastic change of PV power in a short period of time, has a particularly obvious impact on the power grid. This paper first summarises the current state of PV ramp-up research. Then, three common definitions of PV ramp-up events and the definition chosen in this study are described in detail. Then, a new ramp prediction method is proposed: first, the mRMR feature selection method is used to screen the input features; then, the LSTM network is constructed to predict the PV power; finally, the prediction intervals with different confidence levels are given in combination with the bootstrap method, and the probability of the ramp is determined accordingly. The effectiveness of the method is verified by simulation. This study provides new ideas for further improving the accuracy of PV ramp prediction. The experimental results show that by selecting the appropriate ramp threshold and determining the ramp probability, this method has achieved better results in terms of accuracy, hit rate, critical success index and other evaluation indicators. |
12,154 | Please write an abstract with title: Cost-benefit Optimization of Reserve Considering UHVDC transmission System and Wind Power, and key words: Analytical models, Load forecasting, Voltage, Wind power generation, Predictive models, Power system reliability, Resource management. Abstract: With the penetration of wind power and the development of Ultra-high voltage direct current (UHVDC) transmission system, the traditional deterministic reserve capacity allocation can no longer meet the requirements of economy and reliability in power system. In this paper, a new joint optimization model of generation and reserve based on cost-benefit analysis is proposed, considering the random faults of conventional unit, load forecasting errors, wind power forecasting errors and the random faults of UHVDC transmission system. In this model, the forecasting error of load and wind power, UHVDC transmission system are considered as multi-state units, which are introduced to the outage capacity probability table. The expected energy not served (EENS) is used to calculate the reserve benefit, Taking the minimum sum of system operation cost, reserve cost and reserve benefit as objective function, the joint optimization model is established to calculate the operational status and reserve capacity of each conventional unit during each research period, and the sensitive analysis of reserve on the related factors is performed. |
12,155 | Please write an abstract with title: 2004 Index, and key words: Professional communication, Rhetoric, Buildings, Virtual groups, Levee, Knowledge transfer, Design engineering, Knowledge engineering, Feedback, User centered design. Abstract: This index covers all technical items - papers, correspondence, reviews, etc. - that appeared in this periodical during the year, and items from previous years that were commented upon or corrected in this year. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. The primary entry includes the co-authors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. Note that the item title is found only under he primary entry in the Author Index. |
12,156 | Please write an abstract with title: Near field measurement of LF loop transmitters, and key words: Transmitters, Testing, Open area test sites, Frequency, Transceivers, Transponders, Attenuation, FCC, Size measurement, Laboratories. Abstract: The paper tabulates field decay for Hertzian transmitting loops in free space and in the presence of conducting ground planes, taking the practical effects of impedance coupling and loop dimensions into consideration. The resulting field attenuation rates correlate well with open area test site (OATS) measured data and can be readily used to extrapolate radiated emission limits at arbitrary distances in the extreme near field of low frequency loop sources. |
12,157 | Please write an abstract with title: SDRsim: a PC-based simulator of software defined radio, and key words: Software radio, Software prototyping, Radio control, Virtual prototyping, Software tools, Software architecture, Prototypes, Product design, Analytical models, Computer architecture. Abstract: A PC-based tool for simulation and rapid control prototyping of software defined radio (SDR) technology is presented. The tool describes a software platform implemented to facilitate the SDR software architecture at the analysis, design and implementation stages. SDRsim is a prototyping platform, which provides modularity and requires minimal implementation effort to accommodate the SDR device. It is able to demonstrate the practical use of software prototyping in reducing the complexity of product analysis and design. This simulator provides the flexibility to modify and analyze the impact of various architecture parameters and components as well as enable more detailed statistics collection than real SDR device. |
12,158 | Please write an abstract with title: Improving the Dynamic Performance of the Commercial PFC Rectifiers by Compensation Network Redesign, and key words: Total harmonic distortion, Reactive power, Regulators, Rectifiers, Power electronics, Steady-state, Voltage control. Abstract: This paper presents a simple method to improve the dynamic characteristics of on-shelf commercial PFC controllers, in particular reducing the DC link voltage undershoot (response to a step-like load power increase (US)) with an additional reduction of total harmonic distortion (THD). It is well known that a wide voltage loop bandwidth leads to a decrease in voltage undershoot, but may affect AC-side current quality. However, adding a notch filter in series with the existing voltage loop regulator prevents THD degradation. Guidelines to achieve the desired values of the two mentioned performance merits are provided for a commercial PFC rectifier board. Simulations and experimental results with modified 350W rated TI demo board PFC rectifier are also provided. |
12,159 | Please write an abstract with title: Maximized Effective Transmission Rate Model for Advanced Neighbor Discovery Process in Bluetooth Low Energy 5.0, and key words: Internet of Things, Advertising, Performance evaluation, Delays, Analytical models, Energy consumption, Bluetooth. Abstract: Bluetooth low-energy (BLE) technology is one of the most promising communication technologies applicable to a variety of Internet of Things (IoT) services. The neighbor discovery process (NDP) plays a key role in BLE-enabled IoT services. The basic NDP (B-NDP) specified in BLE specification 4.0 has a limitation in supporting large numbers of BLE devices, owing to its use of three channels. To overcome the limitation of B-NDP, advanced NDP (A-NDP) has been recently introduced in BLE specification 5.0. However, most existing studies have focused on B-NDP, with very few studies having been conducted on A-NDP. In this article, we propose a model for analyzing the effective transmission rate for a BLE advertiser with an A-NDP operation. Using the proposed model, we also propose a performance model to maximize the transmission rate by optimally setting the BLE parameters. The proposed models are validated by comparing with extensive simulation results. It also demonstrates that the maximum transmission rate by the proposed models can be achieved with low energy consumption. |
12,160 | Please write an abstract with title: An enhanced variable bit-rate CELP speech coder, and key words: Speech enhancement, Filters, Speech synthesis, Speech coding, Bit rate, Speech analysis, Predictive models, Code standards, Oral communication, Bandwidth. Abstract: In this paper, a new variable bit-rate code excited linear predictive (CELP) coder of average bit rate around 4 kbps is presented. The new coder is based on the fedral standards FS 1016 CELP coder. Three main differences between this new coder and the FS 1016 coder are introduced. These three modifications result in reducing the bit rate by about 0.8 kbps. |
12,161 | Please write an abstract with title: Eddy current losses in a, and key words: Eddy currents, Magnetic domains, Frequency measurement, Loss measurement, Magnetic flux, Predictive models, Motion measurement, Crystals, Demagnetization, Bean model. Abstract: Losses were measured as a function of frequency and induction for a |
12,162 | Please write an abstract with title: A Review on Cascading Failure Analysis for Integrated Power and Gas Systems, and key words: Analytical models, Uncertainty, Power system protection, Power system dynamics, Failure analysis, Machine learning, Power system stability. Abstract: The increasing use of natural gas power generation has strengthened the interdependence between the power and natural gas subsystems in the integrated power and gas system (IPGS). Due to the interactions between the two subsystems, the disturbances in one system may spread to the other one, triggering a disruptive avalanche of subsequent failures in the IPGS. This paper presents a survey of cascading failure analysis for the IPGS. First, we identify the important features characterizing cascading dynamics in individual power and gas subsystems. Then, we will discuss the features for the cascading failure analysis in the IPGS and future research. |
12,163 | Please write an abstract with title: An efficient routing tree construction algorithm with buffer insertion, wire sizing and obstacle considerations, and key words: Routing, Wire, Topology, Integrated circuit interconnections, Delay, Design automation, Stochastic processes, Circuit optimization, Modems, Wiring. Abstract: We propose a fast algorithm to construct a performance driven routing tree with simultaneous buffer insertion and wire sizing in the presence of wire and buffer obstacles. Several algorithms (J. Lillis et al., 1996; M. Hrkic et al., 2001, 2002; X. Tang et al., 2001) have been published addressing the routing tree construction problem. But all these algorithms are slow and not scalable. We propose an algorithm, which is fast and scalable with problem size. The main idea of our approach is to specify some important high-level features of the whole routing tree so that it can be broken down into several components. We apply stochastic search to find the best specification. Since we need very few high-level features, the size of stochastic search space is small which can be searched in very less time. The solutions for the components are either pregenerated and stored in lookup tables, or generated by extremely fast algorithms whenever needed. Since it is efficient to obtain solutions for components, it is also efficient to construct and evaluate the whole routing tree for each specification. Experimental results show that, for trees of moderate size, our algorithm is at least several hundred times faster than the recently proposed algorithms. Experimental results also show that the trees generated by our algorithm have almost same delay and resource consumption as the trees generated by SP-tree. |
12,164 | Please write an abstract with title: OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs, and key words: Reconfigurable devices, Computational modeling, Network-on-chip, Timing, Field programmable gate arrays, Open source software, Testing. Abstract: Coarse-grained reconfigurable arrays (CGRAs), loosely defined as arrays of functional units (e.g., adder, subtractor, multiplier, divider, or larger multi-operation units, but smaller than a general-purpose core) interconnected through a Network-on-Chip, provide higher flexibility than domain-specific ASIC accelerators while offering increased hardware efficiency with respect to fine-grained reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs). The fast evolving fields of machine learning and edge computing, which are seeing a continuous flow of novel algorithms and larger models, make CGRAs ideal architectures to allow domain specialization without losing too much generality. Designing and generating a CGRA, however, still requires to define the type and number of the specific functional units, implement their interconnect and the network topology, and perform the simulation and validation, given a variety of workloads of interest. In this paper, we propose OpenC-GRA *, the first open-source integrated framework that is able to support the full top-to-bottom design flow for specializing and implementing CGRAs: modeling at different abstraction levels (functional level, cycle level, register-transfer level) with compiler support, verification at different granularities (unit testing, integration testing, property-based testing), simulation, generation of synthesizable Verilog, and characterization (area, power, and timing). By using OpenCGRA, it only takes a few hours to build a specialized power- and area-efficient CGRA throughout the entire design flow given a set of applications of interest. OpenCGRA is available online at https://github.com/pnnl/OpenCGRA. |
12,165 | Please write an abstract with title: Single-phase Active Power Filter based on Rotating Reference Frame Method, and key words: Active filters, Power harmonic filters, Power system harmonics, Delay, Reactive power control, Angular velocity, Power engineering computing, Educational institutions, Control systems, Laboratories. Abstract: This paper presents a new control method of the single-phase active power filter (APF) for the compensation of harmonic current components in nonlinear loads. In order to use a new transformation theory, the two-phase system by constructing a imaginary second-phase is formed. In the conventional method, an imaginary-phase lagged to the load current T/4(here T is the fundamental cycle) is made. But in this proposed method, the new signal as the second phase is the delayed through the filter. As this control method is applied to the system of single-phase, an instantaneous calculation was developed rather by using the rotating reference frames synchronized with source-frequency than by applying instantaneous reactive power theory that uses the conventional fixed reference frames. The control scheme of single-phase APF is analyzed with the experimental results in a laboratory prototype to verify the validities of the proposed control methods |
12,166 | Please write an abstract with title: Facial-Machine Interface-based Virtual Reality Wheelchair Control using EEG Artifacts of Emotiv Neuroheadset, and key words: Performance evaluation, Electrodes, Wheelchairs, Virtual reality, Feature extraction, Electroencephalography, Telecommunications. Abstract: This paper proposes a facial-machine interface system based on electroencephalogram (EEG) artifacts for mobility enhancement in people with paraplegia. We aim to employ the proposed system for cooperating with an EEG-based BCI system. Emotiv EPOC X neuroheadset used to acquire an EEG signal for verification of electrode positions and feature extraction algorithms. By using motion artifacts, two modalities of wheelchair control from only jaw movement and combing jaw and eye movements to online control a virtual reality wheelchair were proposed and evaluated the efficiency of the proposed control modalities. The results showed that combing eye and jaw movements can yield a high efficiency which can be used for a practical hybrid BCI system. We will further implement the proposed in a real power wheelchair. |
12,167 | Please write an abstract with title: Preliminary Analysis of Doppler Collision Occurrence in Various Kinematic Conditions for NavIC System, and key words: Heuristic algorithms, Kinematics, Bandwidth, Satellite navigation systems, 1/f noise, Doppler effect, Geostationary satellites. Abstract: India has designed it's own regional navigational system, NavIC(Navigation with Indian Constellation) which is the operational name of Indian Regional Navigation Satellite System(IRNSS) developed by ISRO. It consists of seven satellites out of which four are geosynchronous and three are geostationary satellites. All the satellite based navigation systems are prone to errors induced by troposphere, ionosphere, difference in timing clocks used and relative motion between the satellites and user. One such phenomenon that introduces tracking errors due to geostationary satellites is `Doppler Collision'. The impact of Doppler Collision(DC) is significant for precise user position estimation in static and various dynamic conditions. The aim of this paper is to analyze the Doppler Collision occurrence in kinematic conditions for various DLL(Delay Locked Loop) bandwidths. An efficient algorithm needs to be developed for the analysis of Doppler Collision in order to minimize the tracking errors. It is found that DC occurs for 33.4 minutes in 1C and 1G whereas 5.88 minutes in between 1C and 1F and for 6.416 minutes in between 1F and 1G satellites. |
12,168 | Please write an abstract with title: A spider’s bit(e): How far are we from becoming Spidermen?, and key words: Microorganisms, Scalability, Genetics, Life sciences, Complexity theory, Molecular biology. Abstract: I am a biotechnologist who recently earned a Ph.D. degree in molecular biology and genetics. Although I have always worked with bacteria, I believe knowledge is transversal to the life sciences, through every level of complexity with the due scalability, never underestimating the power of learning from the small things. My research has always been focused on finding new alternatives to overcome current health challenges. Every day, I get the chance to observe that fiction and science are more alike than we might think. It is often only a matter of time. |
12,169 | Please write an abstract with title: Mathematical Evaluation Model and Intelligent Prediction Research about Health Status Based on SSA-DBN, and key words: Analytical models, Image processing, Neurons, Mental health, Predictive models, Search problems, Prediction algorithms. Abstract: Mental health will affect college students' intellectual quality, personality growth and physical health. The traditional mental health test standard has some limitations, in addition, the evaluation and identification of mental health problems are essentially nonlinear classification problems. Therefore, this paper introduces the method of neural network to study. Firstly, the classical deep belief network is used to analyze the survey data. Secondly, the sparrow search algorithm (SSA) is used to optimize the number of neurons in the hidden layer of DBN, so as to solve the problem of difficult selection of hidden layer parameters of DBN model, and establish an assessment and prediction model of college students' mental health based on SSA-DBN, with an accuracy of 96%. Finally, taking the psychological test scores of 16 undergraduate English majors in Nanchang Institute of Science and Technology as an example, judge and analyze the threshold, and give corresponding suggestions and countermeasures, which can provide theoretical and technical reference for psychological educators in colleges and universities. |
12,170 | Please write an abstract with title: Detecting drones with radars and convolutional networks based on micro-Doppler signatures, and key words: Adaptation models, Fourier transforms, Transfer learning, Radar detection, Data models, Reflection, Convolutional neural networks. Abstract: The detection of drones using radars is a problem of great importance due to the wide proliferation of drones that are being used in a variety of applications. In this paper, we propose a novel approach to convolutional neural network (CNN)-based drone detection using radar micro-Doppler signatures. The CNNs are trained on micro-Doppler signatures obtained from short-time Fourier transform spectrograms of the time-series data of the radar reflections from the drones. In particular, we investigate the binary classification of drones versus noise using both simulated data and real data taken from rapidly-manoeuvring drones. First, we train a CNN to detect and classify drones using simulated data based on the Martin-Mulgrew (MM) model. We find that at a 10-decibel signal-to-noise ratio, this CNN performs with an F1 score greater than 0.8. Furthermore, we apply transfer learning on the trained model to adapt it to real data. We show that this use of transfer learning improves the results over a standalone model trained solely on real data by 0.075 F1 score points. |
12,171 | Please write an abstract with title: Adaptive fuzzy sliding mode control design: Lyapunov approach, and key words: Programmable control, Adaptive control, Fuzzy control, Sliding mode control, Pi control, Proportional control, Control systems, Nonlinear systems, Fuzzy systems, Adaptive systems. Abstract: An adaptive fuzzy sliding mode control algorithm is proposed for a class of continuous time unknown nonlinear systems. In contrast to the existing sliding mode control (SMC) design, where the presence of hitting control may introduce problems to controlled systems, the proposed adaptive fuzzy logic controller takes advantages of both SMC and proportional integral (PI) control. The chattering action is attenuated and robust performance can be ensured. The stability analysis for the proposed control algorithm is provided. Two nonlinear system simulation examples are presented to verify the effectiveness of the proposed method. |
12,172 | Please write an abstract with title: On the suboptimal design of regulators using time-multiplied performance index, and key words: Regulators, Performance analysis, Optimal control, State feedback, Control systems, Performance gain, Transient response, Electric variables control, Electronics packaging, Statistics. Abstract: The suboptimal design of linear regulators with time-multiplied quadratic performance index, using constant state feedback gains is considered. The necessary conditions to be satisfied by the suboptimal control law are derived in a simpler way using the Hamiltonian approach. An example is given to illustrate more clearly the effect of time-multiplied performance index on the transient response. |
12,173 | Please write an abstract with title: Dedicated Multi-element Electronic System for Personalized Protective Thermally Active Clothing, and key words: Heating systems, Smart textiles, Power supplies, Estimation, Prototypes, Pulse width modulation, Mathematical model. Abstract: An active heating system has been developed for application in smart clothing for mountain rescuers. It uses a set of sensors and is aimed at gathering necessary data for the elaboration and testing of the automatic control algorithm. The system is powered from a Li-ion battery pack, which can be additionally charged from flexible PV modules. The paper presents the estimation of system power requirements and its energy budget. Since the system maximum operation time strongly depends on the efficiency of its main voltage converter, the design of the latter was based on a model enabling power loss estimation in the particular components. Characteristics ultimately measured on a prototype showed a high agreement with simulations. |
12,174 | Please write an abstract with title: Balancing Limits of Flying Capacitor Voltages in Coupled Inductor FCML Converters, and key words: Couplings, Delay effects, Conferences, Capacitors, Reliability theory, Predictive models, Power electronics. Abstract: Ensuring that the flying capacitor voltages are balanced is critical to the operation of flying capacitor multilevel (FCML) converters. This paper systematically explores robust voltage balancing of FCML converters using coupled inductors. Coupled inductors are shown to balance FCML converters with any number of levels or even number of phases, with some singularities. Balancing is improved with an even number of phases, levels, and higher coupling coefficients. The two-phase, three-level FCML converter yields the strongest and most reliable benefit from coupled inductor balancing. Coupled inductors with a modest coupling ratio can also improve balancing. A piece-wise linear model of the converter is developed to show that coupled inductor balancing is effective in intrinsically unbalanced con-verters. The theoretical predictions are verified using simulations and experimental results. |
12,175 | Please write an abstract with title: Multi-agent simulation using discrete event and soft-computing methodologies, and key words: Discrete event simulation, Multiagent systems, Automatic testing, Logic testing, Fuzzy logic, Learning automata, Evolutionary computation, Discrete event systems, Robotics and automation, Laboratories. Abstract: With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing algorithms like fuzzy logic, learning automata, evolutionary algorithms, etc. In this paper we discuss the fusion of these soft-computing methodologies and existing tools for discrete event simulation (DEVS) for multi-agent simulation. We propose a methodology for combining the agent-based architecture, discrete event system and soft-computing methods in the simulation of multi-agent robotics and network security system. We also define a framework called Virtual Laboratory (V-Lab/spl reg/) for multi-agent simulation using intelligent tools. |
12,176 | Please write an abstract with title: Enhancement of Antenna Array Bandwidth through Matching Impedance Modification Using Double Stub Matching on Feeding, and key words: Microstrip antenna arrays, Transmitting antennas, Receiving antennas, Microstrip antennas, Bandwidth, WiMAX, Antenna feeds. Abstract: Microstrip antennas are one of the most widely used types of antennas in various applications in communication systems. However, microstrip antenna experiences imbalance impedance, which in turn affects the performance of the antenna with narrow bandwidth as well as reducing the radiation emission of the radio wave. Therefore, in this paper increases bandwidth by changing the matching impedance using a double stub on the feeding antenna array. The double stub feeding is proposed for a dual-frequency band, in which at 2.4 and 5.8 GHz, respectively with identical dimension of antenna patch elements. This proposed structure is placed on the main supply of the microstrip antenna, specifically to match the antenna impedance with the transmission line impedance. From the simulation results, the appropriate impedance (Z) parameter values of 47 Ω at frequency of 2.4 GHz and 49 Ω at 5.8 GHz were correspondingly obtained. The return loss (RL) of -27 dB at 2.4 GHz and -36 dB at 5.8 GHz were also achieved. The voltage standing wave ratio (VSWR) has shown the best value of 1.09 and 1.03 respectively at 2.4 and 5.8 GHz. Improvements to the bandwidth extend beyond 3 times 2.4 GHz and 18 times at 5.8 GHz. Therefore, the proposed antenna can be used in Wireless Local-Area Network (WLAN) and Worldwide Interoperability for Microwave Access (WiMAX) frequency bands. |
12,177 | Please write an abstract with title: Designing Work Chairs at the Filling Workstations with Fixed Machine Layout, and key words: Muscles, Pain, Fatigue, Filling, Workstations, Ergonomics, Layout. Abstract: Awkward posture at work, as observed in filling section operators due to their sitting position was much higher from the filling area, can result in fatigue and less efficient muscle work. Redesign of work facilities, although required to improve the comfort of worker was frequently constrained by existing fixed equipment layout. Therefore, this study aims to redesign work chairs that can improve workers comfort without significantly change the existing layout and workspace. Rapid Upper Limb Assessment (RULA), with the use of CATIA software, was used to assess the workers posture before and after the redesign of the new work chair. Rodgers Muscle Fatigue Assessment (RMFA) and Nordic Body Map (NBM), respectively, were used to assess the level of muscle fatigue and the level of pain felt by workers. In order to fit the needs of the workers, Value Analysis (VA) was used to select the design concepts from various alternatives. As a result, concept A was chosen as the preferred concept by workers, with a decrease in RULA scores from high to medium, decreasing levels of pain from high to low, and moderate levels of muscle fatigue on the back and hands of the workers. |
12,178 | Please write an abstract with title: A Cloud-Terminal Collaborative System for Crowd Counting and Localization Using Multi-UAVs, and key words: Location awareness, Cloud computing, Simulation, Conferences, Collaboration, Robustness, Trajectory. Abstract: Crowd counting and localization are of great significance in disaster scenarios. The rescue team saves much time with the help of this information. In this paper, we solve this problem by locating the Wi-Fi devices like smartphones that people carry. The search area is divided into blocks and we focus on the accuracy if the devices are located to the right block. We propose a cloud-terminal collaborative system for crowd counting and localization using multiple unmanned aerial vehicles (UAVs), which takes advantage of multi-UAVs and cloud computing to realize fast localization and real-time monitoring. In the proposed positioning method, we improve the accuracy and robustness of the trilateration algorithm based on the idea of bisection and weighting. And we consider the block density and continuous monitoring while planning the trajectory. Simulation results show that our method improves the accuracy by 26.2% compared with the traditional method in the same environment and using the same number of UAVs. The accuracy of our method reaches 0.95 in 500 seconds in the given environment. |
12,179 | Please write an abstract with title: Extension of ASM HEMT Model with Trapping Effects in GaN Power Devices, and key words: Resistance, Switched mode power supplies, Europe, Voltage, HEMTs, Integrated circuit modeling, MODFETs. Abstract: We present a model to simulate the dynamic drain source resistance of GaN-based HEMTs in circuit simulators. Instead of discrete RC-subcircuits for trap charging and discharging processes, the proposed model uses a distributed RC network to approximate a Gaussian distribution of capture and release time constants to decrease the parameter count and increase accuracy. We have implemented the model into the ASM-HEMT standard compact model and applied it to a commercial 100 V GaN-on-Si HEMT. The model considers the drain source resistance evolution over many magnitudes in time. It can be used to predict additional trapping-induced losses in switched-mode power supplies. |
12,180 | Please write an abstract with title: Image-based Activity Recognition from IMU Data, and key words: Pervasive computing, Inertial sensors, Conferences, Image edge detection, Time series analysis, Activity recognition, Image representation. Abstract: In this paper we propose an approach to improve the performance of human activity recognition (HAR) from inertial sensors data, based on image processing techniques. Our approach creates image representations of the time-series data to take advantage of the strengths that convolutional neural networks (CNNs) have shown when dealing with image data. We have conducted an evaluation using benchmark datasets that are considered among the most relevant in HAR. Our results show that our approach is able to outperform the state of the art in all cases. |
12,181 | Please write an abstract with title: Signal analysis for the hand grip evaluation in Parkinsonian patients, and key words: Signal analysis, Parkinson's disease, Biomedical measurements, Force measurement, Data analysis, Bioinformatics, Software measurement, Protocols, Health information management, Software development management. Abstract: The present work is concerned with the problem of recording and analyzing biomedical data characterizing motor activities of the limbs in patients suffering from Parkinson's disease. The aim of the paper is the individuation of suitable parameters useful for detecting subjects affected by Parkinson's disease, revealing the state of the patient. So, a simple and inexpensive system that measures the force of palmar grip is presented and discussed and a suitable software protocol able to record and manage the acquired data is developed. Finally, some biomedical parameters have been identified, characterizing motor activities of limbs. The study of these parameters and the analysis of the correlations between the acquired data, permits us to extract useful information and details for objective evaluation of Parkinson pathology, taking into account the metrological characteristics of the used measurement system. |
12,182 | Please write an abstract with title: Shorted operators and the identification problems-The real case, and key words: Symmetric matrices, Speech processing, Signal processing algorithms, Polynomials, Filters, Signal processing, Sufficient conditions, Circuit theory, Circuit stability, Circuit testing. Abstract: This paper gives necessary and sufficient conditions under which a real symmetric nonnegative definite matrix can be uniquely determined from the knowledge of a finite number of its shorted versions. |
12,183 | Please write an abstract with title: Evaluation of a sensor array for navigation in a dynamic environment in an eight degrees-of-freedom omnidirectional vehicle, and key words: Robot sensing systems, Navigation, Sensor arrays, Vehicle dynamics, Path planning. Abstract: Robot navigation trough dynamics environments is a complex task that is both time consuming and highly computational intense. In this paper, it is studied the usage of low power and low complexity sensors mounted in an 8 degrees of freedom mini autonomous vehicle applied to the navigation trough a dynamic scenery. Using a TSP-based modification to the classical A* navigation algorithm for the path planning stage, the 3 proposed systems initially work alone where they are evaluated, and further on, implemented as an integrated system. In this respect, the aim of this experiment, made in conjunction of MATLAB and V-REP, is to compare different sensors arrays in many case studies, discuss the behavior and the performance to further selection of them. |
12,184 | Please write an abstract with title: L<sub>g</sub> = 40nm Composite Channel MOS-HEMT Exhibiting f<inf>τ</inf> = 420 GHz, f<inf>max</inf> = 562 GHz, and key words: Performance evaluation, Extrapolation, Bandwidth, Logic gates, Tin, Length measurement, Capacitance. Abstract: An L g = 40 nm, t ch = 7.0 nm In 0.53 Ga 0.47 As / InAs MOS-HEMT exhibiting f t = 420 GHz and f max = 562 GHz at V DS = 0.70 V, V GS = 0.30 V, and I DS = 0.793 mA/μm is reported. A 0.83 nm / 1.71 nm Al x O y N z / ZrO 2 high-k gate dielectric is used with a 3.0 / 4.0 nm In 0.53 Ga 0.47 As / InAs composite channel. At 40 nm L g , high peak g m,e = 2.9 mS/μm and record low g ds,e = 0.18 mS/μm at V DS = 0.70 V was achieved. Long gate length SS min = 69 mV/dec is observed. Bandwidth of the present devices is limited by parasitic C GS,p , C GD,p . |
12,185 | Please write an abstract with title: The teardown samsung galaxy ultra S20: Is Samsung's new camera-led flagship more than a beta?, and key words: Cameras, 5G mobile communication, Telephone sets, Batteries, Antenna accessories, Random access memory, Power system management. Abstract: THE SAMSUNG Galaxy S20 Ultra is a camera-led flagship 5G handset that has come to market at a time when photography faces constraints, albeit ones beyond the company's control. |
12,186 | Please write an abstract with title: Safe and Secure Systems in the Residence and Lender using Voice Recognition and GSM, and key words: Home appliances, Automation, Microcontrollers, Surveillance, Speech recognition, Reliability engineering, Software. Abstract: The project's main aim is to propose the formulation and construction of a SECURED AUTOMATION in a bank and at home using GS M and voice recognition. All of these techniques have evolved into a single automation system that provides a complete, low-cost, powerful, real-time remote-control system. This system is linked to the PIC16F877A microcontroller's inbuilt ADC, and its output is used to control as well as activate the load. GS M allows for trans mission and reception, while S MS allows for monitoring of the load's activation and control status, providing security for the system. If the user forget to turn OFF any appliances, the user can use their mobile phones to send an S MS to a GS M appended to the proposed system, which will then turn OFF the load. A remote has indeed been provided for each employee for security purposes and should be pressed whenever an unauthorized person enters the bank, because an unconscious gas has been s prayed, the bank's door is locked, an emergency alarm sounds, and an S MS is sent to the police and the bank's headquarters. As a result, the receiving process occurs for security in both the home and the bank. |
12,187 | Please write an abstract with title: New Radially Graded Porous Additively Manufactured Cellular Structure for Bone Implants Theoretical and Experimental Analysis, and key words: Bone tissue, Iron, Bones, Stress, Shape, Biomedical engineering. Abstract: In recent years, scaffolds made up of porous biomaterial have been preferred to bulk implants because of their better compatibility with bone growth and regeneration. Also, since numerical methods are time-consuming and conducting experimental tests are expensive as well, introducing analytical relationships to predict mechanical properties of porous biomaterials is essential. A novel radially graded porous biomaterial is introduced in the current study. Mechanical properties of the proposed structure are derived and validated through an experimental test and numerical FE modeling. Elastic modulus and yield strength of different samples are derived and compared to each other. Results show the adjustability of the structure and its potential capability for use in bone replacement application. |
12,188 | Please write an abstract with title: Novel Mirror-flipped Mode Permutation Technique for Long-haul Mode-division Multiplexing Transmissions, and key words: Optical fibers, Q-factor, Multiplexing, Equalizers, System performance, Optical fiber communication. Abstract: We propose a mirror-flipped mode permutation scheme based on newly developed differential-mode-delay-symmetric fibers, which further suppresses modal-dispersion impact by 30% and mitigates mode-dependent-loss impact with 3.8-dB Q-factor improvement compared with the traditional permutation method in 1028-km 6-mode transmission. © 2022 |
12,189 | Please write an abstract with title: Transmit power optimization for video transmission over slowly-varying Rayleigh-fading channels in CDMA systems, and key words: Rayleigh channels, Multiaccess communication, Bit error rate, Energy management, Power system management, Filling, Image communication, Motion compensation, Multiple access interference, Batteries. Abstract: An optimum transmit power management scheme is proposed for wireless video service in code-division multiple-access systems. The scheme minimizes the transmit power subject to the constraint on the distortion resulted from the loss of each packet and the error propagation effect caused by the motion compensation. It implicitly controls the target bit-error rate (BER) of the video packet according to the importance of the packet. The more important the packet is, the more securely it is transmitted over noisy channel. Furthermore, the scheme adjusts the target BER as if the water filling concept is applied to the problem of minimizing the transmit power. The simulation results show that the proposed scheme considerably outperforms the conventional schemes. |
12,190 | Please write an abstract with title: Optimal Preventive Control of Transient Instabilities of Rotor Angles and Nodal Voltage Magnitudes, and key words: Transient analysis, Silicon compounds, Rotors, Voltage control, Steady-state, Generators, Load flow. Abstract: This paper addresses the fundamental issue regarding how to perform the preventive control of transient dynamics associated with rotor angles and nodal voltage magnitudes to obtain a transiently stable operating point for a given contingency scenario. The problem is formulated as a single contingency transient stability-constrained optimal power flow (TSC-OPF) model, in which the optimization and the transient stability problems are sequentially solved until a suitable generation dispatch that provides a transiently stable equilibrium point is assessed. A relevant feature of the proposed approach is its formulation in the form of a conventional OPF problem, which includes two power re-dispatch constraints that are only a function of the steady state active power output of generators. Hence, the control objective is achieved by constraining the direction and magnitude of the steady-state active power re-dispatch of the generators. The effectiveness of the proposed approach is demonstrated on the WSCC 3machine-9 bus test system. |
12,191 | Please write an abstract with title: Critical issues in thin layer acoustic image interpretation and metrology for microelectronics, and key words: Metrology, Microelectronics, Acoustic pulses, Delamination, Pulse measurements, Acoustic materials, Moisture, Bonding, Solid modeling, Packaging. Abstract: A broadband model is proposed to describe the nature of ultrasonic pulses in multilayered systems with a sub-wavelength thickness layer. Experimental results are presented to illustrate how delaminations and cracks with foreign material or moisture ingress can appear to be well-bonded and why acoustic images of interfaces with thin layers can sometimes give erroneous indications of the bond state. Applications of this model for delamination analysis of a geometrically complex package is demonstrated. The model can not only predict ultrasonic pulses in the time and frequency domain accurately (the forward problem), but can also provide a theoretical framework for solving the inverse problem, namely, measurement of the thickness and material properties of sub-wavelength thick coatings and layers. |
12,192 | Please write an abstract with title: New concept of power quality improvement method in marine electric propulsion system, and key words: Power quality, Propulsion, Marine vehicles, Thyristors, Power electronics, Reactive power, Power system harmonics, Power harmonic filters, Voltage, Synchronous motors. Abstract: In this paper, the characteristics of a marine electric propulsion system are introduced, and the power quality actuality of the system is also interpreted. Then, the significance of improving of improving power quality which are nowadays applied to marine electric propulsion systems are analyzed. Finally, a new approach - the combination of active power factor compensator and series active filter aided by parallel passive filter - is proposed for marine electric propulsion system. According to the working principles of the aforementioned new approach, it can be predicted that the combined system seems to be promising to compensate for harmonics and promote power factor in marine electric propulsion system. |
12,193 | Please write an abstract with title: Modeling of stress effects on magnetic hysteresis and Barkhausen emission using an integrated hysteretic-stochastic model, and key words: Magnetic hysteresis, Compressive stress, Tensile stress, Predictive models, Signal processing, Voltage, Stress measurement, Steel, Permeability, Magnetization. Abstract: Summary form only given. An integrated magnetic hysteresis and Barkhausen effect (BE) model has been developed which provides a coherent description of the effects of stress on hysteresis loop and BE signals. To verify the model predictions hysteresis loops and BE signals were measured and simulated for steel under various tensile and compressive stresses within the elastic limit. BE signal was calculated based on the hysteretic-stochastic process model of domain wall dynamics, which has been recently developed for description of BE signal over the entire hysteresis cycle in which the permeability varies with applied field and stress. The BE signal voltage, which corresponds to the rate of irreversible changes in magnetization I/spl dot//sub irr/ is governed by d I/spl dot//sub 1rr//dt = /spl chi//sub 1rr///spl tau/ ((dH/sub a//dt) - (dH/sub o//dt)) /spl dot//sub 1rr///spl tau/, where H/sub a/ is the applied field, H/sub C/ is the local pinning field, /spl chi/'/sub 1rr/ is the irreversible susceptibility and /spl tau/ is proportional to /spl chi/'/sub 1rr/. An applied stress /spl sigma/ was treated as an effective field operating through the magnetostriction /spl lambda/. In this approach the stress effect on BE signal can be described via /spl chi/'/sub 1rr/ which is given by /spl chi/'/sub 1rr/ = /spl chi//sub 0/ (1 + (M/sub a/ - M/sub 1rr/)/(k/spl delta///spl mu//sub 0/) [/spl alpha/ + (3/spl sigma//2/spl mu//sub 0/)(/spl part//sup 2/ /spl lambda///spl part/M/sup 2/)](M/sub a/ - M/sub 1rr/)). The simulated hysteresis loop parameters such as the coercivity and remanence and the rms BE signal voltage were found to exhibit a stress dependence consistent with that of the experimental data, indicating that the integrated model can be used to describe the trends in the behavior of both hysteresis loop and BE signal as a function of stress. |
12,194 | Please write an abstract with title: THz scanning near-field microspectroscopy employing synchrotron radiation, and key words: Synchrotron radiation, Apertures, Probes, Spatial resolution, Radiation detectors, Spectroscopy, Electrons, Near-field radiation pattern, Diffraction, High-resolution imaging. Abstract: The high brilliance of an accelerator-based coherent source is employed for scanning near-field microscopy in the THz and sub-THz range. Spatial resolution below the diffraction limit is achieved. Different approaches for the near-field probe are discussed. Together with a Martin-Puplett spectrometer this technique enables spectroscopic mapping. The potential of the technique is exemplified by imaging biological samples. |
12,195 | Please write an abstract with title: EEG source reconstruction based on the boundary-element method and weighted minimum norm approaches, and key words: Electroencephalography, Image reconstruction, Conductivity, Inverse problems, Brain modeling, Head, Skull, Vectors, Neurons. Abstract: Within the frames of the boundary-element method (BEM) and weighted minimum norm (WMN) estimation, the electroencephalogram (EEG) sources distribution images are reconstructed. In order to solve the ill-conditioning problem caused by the low conductivity of the skull, an improved BEM with an adjustable parameter isolated problem is presented to solve the EEG forward problem. Combined with BEM results, a hybrid WMN solution to the EEG inverse problem is analyzed. The simulation experiments are also given. |
12,196 | Please write an abstract with title: The Energy Footprint of 5G Multi-RAT Cellular Architectures, and key words: 5G mobile communication, Standards, Energy consumption, Computer architecture, Transceivers, Power demand, Microprocessors. Abstract: While environmental and financial reasons point to the minimization of the number of radio sites to contain energy use, emissions, and operating expenses of cellular networks, the industry has, in retrospect, partly headed in the opposite direction. The reasons are the deployment of new technologies alongside the existing ones, the use of higher frequencies, and the expansion of radio coverage. In some cases, the issue has been addressed by replacing legacy access sites with Multi-RAT infrastructures, composed of individual radio elements that run multiple technologies concurrently. Now, the transition to 5G poses additional challenges. This paper reviews Multi-RAT architectures, outlines their benefits, discusses how 5G can be integrated, and provides guidance in terms of architectural recommendations, all from an energy consumption standpoint. Specifically, we firstly summarize the transition of monolithic base stations into modern radio elements, exposing the energy rationale and discussing the impact of each main network component. From this basis, we survey different deployment strategies and evaluate their energy implications in light of the constraints and opportunities given by the 5G New Radio standard, its flagship applications, and its transport requirements. Then, we lay down energy-saving estimates quantifying the contribution of each main network segment, revealing the most promising architectures, and identifying the main challenges and the research directions ahead. |
12,197 | Please write an abstract with title: Sensing systemic awareness and performance of teams during model-based site design, and key words: Technological innovation, Organizations, Sensor systems, Real-time systems, Sensors, Teamwork, Stakeholders. Abstract: Operating with systemic awareness is a known factor in the success of large organizations. A similar dynamic could be in effect at the level of teams and teams of teams within organizations. Engineering teams are tasked with solving problems of multidisciplinary nature with multiple stakeholder constraints. To perform at a higher level, teams need to be aware of multiple constraints simultaneously. This paper proposes the design of sensors to measure team awareness using team attention in the problem and solution spaces. A model problem of designing an innovation campus is chosen. Data from 50 teams spending one hour with a model exploration interface are analyzed. Results suggest that strategy discussions help to arrive at more effective problem-solving. These results are not statistically significant but provide direction for further work. |
12,198 | Please write an abstract with title: Diesel Engine Status Prediction Based on Fluid Spectral Analysis, and key words: Solid modeling, Fluids, Diesel engines, Oils, Neural networks, Predictive models, Data models. Abstract: Oil spectral analysis can effectively monitor the wear state of diesel engine, but the traditional gray prediction model has the disadvantages of insufficient effective information mining when large spectral data volume and not high prediction accuracy. To improve the accuracy of diesel wear prediction, this paper proposes a diesel engine wear prediction model based on the gray neural network model. The simulated values of the GM (1,1) model and the DGM(1,1) model were used as input to the neural network, and then the modeling prediction was performed. The case verification shows that the model is more accurate and closer to the actual value; fully the potential information of data, the accuracy and accuracy can be applied to the wear prediction of diesel engine. |
12,199 | Please write an abstract with title: An improved quantum-behaved gravitional search algorithm for high-dimensional multi-modal optimization, and key words: Quantum gravity search algorithm, CE coefficient, Levy flew, High dimension, multimodal. Abstract: A quantum-behaved gravitional search algorithm based on levy flight (LQ-GSA) is proposed on the basis of analyzing the mechanism of quantum-behaved gravitional search algorithm (QGSA), aiming at solving high dimensional multimodal optimization problems. Firstly, an adaptive dynamic adjustment strategy is proposed for the unique parameter of QGSA-contraction and expansion coefficient (CE), so as to maintain the diversity of population evolution. Secondly, levy flight strategy is introduced in the process of particle location update to expand the search range of particles and enhance the ability of particles to jump out of local optimal. Finally, through the optimization experiment results of six standard test functions in different dimensions, it is shown that LQ-GSA is significantly better than other comparison algorithms in terms of convergence accuracy, convergence speed and stability. With the increase of dimension, the advantages become more prominent, the algorithm shows better performance in solving multi-dimensional and multi-modal optimization problems. |
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