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20,000 | Please write an abstract with title: DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection, and key words: Arrays, Data analysis, Engines, Memory, Sensors, Data models, Supercomputers. Abstract: Recently developed distributed acoustic sensing (DAS) technologies convert fiber-optic cables into large arrays of subsurface sensors, enabling a variety of applications including earthquake detection and environmental characterization. However, DAS systems produce voluminous datasets sampled at high spatial-temporal resolution and consequently, discovering useful geophysical knowledge within these large-scale data becomes a nearly impossible task for geophysicists. It is appealing to use supercomputers for DAS data analysis, as modern supercomputers are capable of performing over a hundred quadrillion FLOPS operations and have access to exabytes of storage space. Unfortunately, the majority of geophysical data processing libraries are not geared towards these supercomputer environments. This paper introduces a parallel DAS Data Storage and Analysis (DASSA) framework to enable easy-to-use and parallel DAS data analysis on modern supercomputers. DASSA uses a hybrid (i.e., MPI and OpenMP) data analysis execution engine that supports a user-defined function (UDF) interface for various operations and automatically parallelizes them for supercomputer execution. DASSA also provides novel data storage and access strategies, such as communication-avoiding parallel I/O, to reduce the cost of retrieving large DAS data for analysis. Compared with existing data analysis pipelines used by the geophysical community, DASSA is 16× faster and can efficiently scale up to 1456 computing nodes with 11648 CPU cores. |
20,001 | Please write an abstract with title: Noise-shaping modulation in high-Q SC filters, and key words: Noise shaping, Filters, Feedback loop, Automatic control, Q factor, Circuit optimization, Performance evaluation, Integrated circuit measurements, Capacitors, Circuit simulation. Abstract: A low-cost tuning scheme for programmable second-order switched-capacitor filters that use partial positive feedback to achieve high Q values, is presented. In this scheme, a noise-shaping feedback coder controls the positive feedback amount in a local loop. Automatic Q-factor tuning is performed by measuring the ratio of a pair of capacitors. Simulation results considering a 0.8-/spl mu/m CMOS process are presented to verify the feasibility of the proposed approach in integrated circuit design. |
20,002 | Please write an abstract with title: Fault Detection and Exclusion for Cooperative Vehicles Navigation under High-Precision Positioning, and key words: Cooperative Vehicles, Fault Detection and Exclusion, Double-difference carrie phase, Real-Time Kinematic. Abstract: The trend of urbanization has increased the demand for highly available public transportation. In order to meet these demands in urban areas, Intelligent Transportation Systems (ITS) aim to improve capacity and safety while reducing costs, accidents, and environmental impact. Integrity monitoring is a key issue in intelligent transportation positioning based on the Global Navigation Satellite System (GNSS). Accurate monitoring and exclusion of faults in GNSS measurements greatly enhance the stability of positioning performance and lay the foundation for the secure critical applications of GNSS. However, existing traditional fault detection algorithms mainly rely on pseudorange measurements, which are unable to meet the accuracy and integrity requirements for operation in complex urban environments. Therefore, it is necessary to utilize carrier phase measurements for high-precision positioning. This paper proposes a fault detection and exclusion algorithm based on carrier phase residual values to eliminate early faults. By using Real-Time Kinematic (RTK) positioning technology, atmospheric propagation errors are eliminated by double-difference measurements, and carrier phase residual values for ambiguity-fixed solutions are extracted. A Gaussian Mixture Model (GMM) is then used to fit the residual distribution without faults, and a fault detection method is proposed based on this. The effectiveness of the algorithm is verified through extensive vehicle experiments with artificially injected faults. This research is of significant importance for GNSS-based intelligent transportation vehicle positioning. |
20,003 | Please write an abstract with title: Modular architectures for adaptive multichannel lattice algorithms, and key words: Lattices, Signal processing algorithms, Computer architecture, Very large scale integration, Sensor arrays, Matrix decomposition, Hardware, Control system synthesis, Frequency estimation, Speech analysis. Abstract: A modular architecture for adaptive multichannel lattice algorithms is presented. This architecture requires no matrix computations and has a regular structure, which significantly simplifies its implementation as compared to the multichannel (matrix) version of the same algorithms. Because the suggested architecture exhibits a high degree of parallelism and local communication, it is well suited for implementation in dedicated (VLSI) hardware. The derivation of this modular architecture demonstrates a powerful principle for modular decomposition of multichannel recursions into systolic-arraylike architectures. The scope of applicability of this principle extends beyond multichannel lattice (and related least-squares) algorithms to other algorithms involving matrix computations, such as multiplication; factorization, and inversion. |
20,004 | Please write an abstract with title: Model Integrated PhD Research Project Using Engineering Platform in the Cloud, and key words: Cloud computing, Analytical models, Computational modeling, Medical services, Computer architecture, Mathematical model, Informatics. Abstract: This paper introduces recent work to analyze possibility of PhD and other university research in purposefully configured engineering modeling platform offering appropriate capabilities. Research project is conceptualized to integrate in a consistently contextual engineering model system. Objects, contexts, simulations, and experiments are included in this model system realizing the formerly proposed concept of model centered research (MCR). MCR is planned to implement in the recently founded Virtual Research Laboratory (VRL). VRL is based on own platform in the 3DEXPERIENCE cloud organized platform at the Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University. This cloud is operated by the Dassault Systémes S. A. In this paper, outline of scenario and former research and objectives are followed by an introduction of improved model mediated approach to MCR. Following this, role and consistent structure of contexts as key issues of model integrated research project and research specific role configuration for project participants are discussed. Finally, implementation issues are discussed in case of cloud platform. |
20,005 | Please write an abstract with title: Automatic-Optimization ADRC-Based Disturbance Rejection Method for Low Voltage Interface Converter in Microgrid, and key words: Fuzzy logic, Employee welfare, Robust control, Low voltage, Power quality, Microgrids, Observers. Abstract: The hybrid energy storage microgrid is regarded as one of the best ways to accommodate distributed energy. Whereas, the power quality of the load-side low-voltage interface will be affected under complex working conditions. Accordingly, an active disturbance rejection control with parameter optimization (ADRCPO) is proposed to deal with these problems. In this paper, the linear extended state observer (LESO) of ADRCPO is reconstructed according to the model information contained in the state equation, so as to improve dynamic response of state reconstruction. In addition, the disturbance immunity of ADRCPO is analyzed, theoretically. Based on the analysis results, the fuzzy logic rules of parameter optimization are given. Finally, the dynamic curves of different strategies under various conditions were obtained by experimental tests on a 40kW experimental platform. Experimental results verify the feasibility and effectiveness of the proposed ADRCPO method. |
20,006 | Please write an abstract with title: Wireless adaptive video streaming by real-time channel estimation and video transcoding, and key words: Streaming media, Channel estimation, Transcoding, Bit rate, Cross layer design, Size control, Control systems, Throughput, Real time systems, Programmable control. Abstract: A system composed of an MPEG-2 video transcoder to change bitrate, frame rate and frame size and a cross layer controller gathering information from physical, MAC, driver, and RTCP layers, calculating instantaneous network throughput, to optimize real-time adaptive A/V streaming over IEEE 802.11 is presented. |
20,007 | Please write an abstract with title: A Lightweight Serial CNN Model for Remote Sensing Ship Target Recognition on FPGA, and key words: Image recognition, Target recognition, Computational modeling, Real-time systems, Convolutional neural networks, Marine vehicles, Task analysis. Abstract: Ship target recognition with remote sensing is an important task for earth observation. The excessive recognition delay may render the results meaningless for time-sensitive targets such as ships. Therefore, rapid and timely analysis of image data on the space-borne platform is required. With the development of deep learning, Convolution Neural Network (CNN)-based methods have achieved high accuracy in the ship recognition task. The huge model size and computational complexity make the CNN-based methods difficult to be deployed on the space-borne platform with limited resources. Hence, model compression techniques are adopted in some on-board methods to obtain the real-time information of ships. However, these methods can only locate ships and cannot give specific category information. To address this problem, a lightweight ship recognition method based on the subgraph cascade classification is proposed. Firstly, the entire image is divided into small subgraphs. Secondly, a lightweight CNN is adopted to select ships from backgrounds. Then, the accurate coordinates of ships are obtained through position regression. At last, ship targets are classified as civil ships and other ships. The experiments show that the method has a promising application prospect in on-board intelligent processing. |
20,008 | Please write an abstract with title: Design of New Media Data Processing System, and key words: Human computer interaction, Databases, Operating systems, Computational modeling, Media, Parallel processing, Data processing. Abstract: This paper is mainly for the design of new media data processing system. The research of new media data processing shows that the traditional database processing new media data is more and more huge, which causes the operating system to do a lot of output and input operations (I / O) when querying, and the processing speed is slow. Through the analysis, the main reason that affects the new media data processing is the large amount of data. In this paper, Bayesian algorithm classifier model is used, and Map/Reduce function is used in the parallel computing framework. Multi computing resource nodes are used for parallel processing to effectively improve the speed of new media data processing. |
20,009 | Please write an abstract with title: Dynamic's problems of frequency and active power control in electric power system, and key words: Power control, Power system dynamics, Power generation, Frequency control, Power system modeling, Testing, Turbines, Programmable control, Adaptive control, Power system analysis computing. Abstract: One of the main problems in the area of frequency control is providing proper dynamics of frequency and active power deviation. The paper deals with analysis of the frequency and active power deviation dynamics during turbine governor action. For providing effective frequency control dynamic characteristics of governors should be very similar. The authors suggest a new method for control of the output power of generators using a necessary dynamic law. It allows ensuring frequency and active power control in a mode, adaptive to the operational conditions. Developed dynamic model was used for analysis of frequency and active power behavior during disturbances in the power system. Results of mathematical modeling were compared with the field tests carried out at the hydro power plant. Field tests proved effectiveness of suggested new control method. |
20,010 | Please write an abstract with title: A Numerical Method for the Solution of the Junction of Cylindrical Waveguides (Short Papers), and key words: Waveguide junctions, Boundary conditions, Equations, Magnetic fields, Apertures, Magnetic field measurement, Rectangular waveguides, Waveguide discontinuities, Surface treatment, Convergence. Abstract: In order to solve the waveguide junction problem numerically, we express the fields in the guides by truncated modal expansions and construct an error function which is a measure of the mean-square error in the matching of the boundary conditions at the junction. The minimum of this error leads to a set of linear equations for the modal amplitudes. Offset rectangular waveguides with amplitude and current excitations are studied. A weighting factor which multiplies the error contribution due to the magnetic field is studied, and a criterion for its selection given. |
20,011 | Please write an abstract with title: A single-step automatic tuning algorithm for the delayed resonator vibration absorber, and key words: Automatic control, Control systems, Delay effects, Vibration control, State feedback, Robust control, Fluctuations, Structural engineering, Parameter estimation, Robustness. Abstract: The delayed resonator (DR) is an active vibration control approach where a passive mass-spring-damper arrangement is converted into an undamped real-time tunable dynamic absorber using partial state feedback with time delay. In the presented work, robustness of the control strategy against fluctuations in the structural parameters of the controlled system is addressed. A single-step automatic tuning algorithm based on online parameter identification is developed as a means of increasing robustness against uncertainties and variations in the mechanical properties of the absorber arrangement. The tuning process is completed within the absorber section of the controlled system with no external information from the primary structure. Implementation of the algorithm is illustrated by a numerical example, and demonstrated experimentally on a clamped-clamped flexible beam. |
20,012 | Please write an abstract with title: Analysis of the transmission characteristics in rectangular mine tunnel with metallic pit prop using mode matching method, and key words: Mode matching methods, Tellurium, Reflection, Frequency, Mobile communication, Sun, Fires, Disaster management, Environmental management, Wireless communication. Abstract: The existence of metallic pit prop causes the discontinuity of rectangular tunnel. A fork waveguide model is proposed for the transmission characteristics analysis. Mode matching and multi-mode network technique are used to analyze the transmission characteristics for rectangular tunnel with metallic pit prop. Moreover, the relationship between the reflection coefficient of dominant mode TE/sub 10/ and working frequency and the row number of metallic pit prop are obtained, respectively. The present approach can be used to analyze other discontinuity problems caused by metallic obstacle in rectangular tunnel. |
20,013 | Please write an abstract with title: Design of Corrugated Horn Antenna for Electronic Support Measure Application, and key words: Horn antennas, Antennas, Antenna radiation patterns, Antenna measurements, Microwave antennas, Gain, Radar antennas. Abstract: In this paper, a simple and small dimension circular corrugated horn antenna at C-band frequency with high gain performance is designed. This antenna is designed for ESM (Electronic Support Measure) application with antenna dimensions is 43 x 155 mm using copper as the antenna material. The circular corrugated horn antenna is designed and simulated using CST Microwave Studio Suite software. The simulation shows results with gain 15.91 dBi, bandwidth 4.3 GHz and linear vertical polarization. This antenna has beamwidth of 45.7° at H-field and 38.9° at E-field. |
20,014 | Please write an abstract with title: Improving the Energy Efficiency of the Environmental Monitoring System Through the Use of Adaptive Algorithms, and key words: Measurement errors, Power demand, Radio transmitters, Energy efficiency, Environmental monitoring, Task analysis, Payloads. Abstract: Modern environmental monitoring systems are distributed systems, often with the integration of automated data collection and transmission processes. This approach allows to reduce the measurement error by eliminating the human factor, but sets a number of tasks to improve the efficiency of the system devices, including power consumption. The main consumer of energy in the device is the radio transmitter module. The article presents the calculations of the required energy for data transmission, depending on the selected parameters of the LoRaWAN radio module and the device operation algorithm, an estimate of the device operation time when using various transmission algorithms. With the introduced restrictions, the calculated benefit of the required energy for the transmission of one bit of information is up to 26% when choosing the optimal parameters of the transmitter and up to four times the operating time of the device from the battery with using various developed algorithm of data forming and transmission. |
20,015 | Please write an abstract with title: Benchmarking nanotechnology for high-performance and low-power logic transistor applications, and key words: Nanotechnology, Logic devices, Nanoelectronics, FETs, Electrostatics, CNTFETs, Nanoscale devices, III-V semiconductor materials, Silicon, Circuits. Abstract: Recently there has been tremendous progress made in the research of novel nanotechnology for future nanoelectronics applications. In particular, several novel nanoelectronic devices such as carbon-nanotube field effect transistor (FET), Si nanowire FET, and planar III-V compound semiconductor FET, all hold promise as device candidates to be integrated onto the silicon platform for enhancing circuit functionality and also for extending Moore's law. For high-performance and low-power logic transistor applications, it is important that these research devices are frequently benchmarked against the existing Si logic transistor data in order to gauge the progress of research. In this work, we compare these novel nanoelectronic devices to the state-of-the-art planar and nonplanar Si logic transistors in terms of intrinsic speed, energy-delay product, and electrostatics. The results of this benchmarking exercise indicate that while these novel nanoelectronic devices show promise and opportunities for future logic applications, their device characteristics and electrostatics still need to be improved. We believe that BENCHMARKING is a key element in accelerating the progress of nanotechnology research for logic transistor applications. |
20,016 | Please write an abstract with title: Orthogonal Frequency Division Multiplexing Waveform Based Radar System, and key words: Pulse measurements, OFDM, Radar, Signal generators, Software, Time measurement, Real-time systems. Abstract: With the evolution of radar systems we have seen use of several waveforms such as pulsed waveform, LFM waveforms. However, OFDM waveform based radar system is a hot area of research these days, primarily because it’s a wideband multicarrier modulation technique and spectrally efficient as well. While designing an efficient radar system, the focus remains largely on achieving an optimum range resolution without decreasing the pulse ON time much. This paper presents an optimized OFDM waveform to obtain target range, velocity and most importantly range resolution. Simulations for the system including target modelling have been done in Keysight System Vue software. |
20,017 | Please write an abstract with title: Differentially Private Federated Learning in Multi-Cell Networks, and key words: Training, Uncertainty, System performance, Power control, Interference, Collaborative work, Minimization. Abstract: Federated learning (FL) is a distributed learning method where multiple users train and upload their local models or gradients to an edge server for artificial intelligence (AI) model training. However, the local model uploading causes information leakage on local data. Differential privacy (DP) is a random mechanism that adds uncertainty to protect privacy for dataset. In this paper, we study a multi-cell FL network where each cell is a FL system. Each user adds artificial noise in its uploaded local gradient, and the multi-cell interference is exploited to enhance the DP levels. The studied problem is formulated as a mean square error (MSE) minimization problem subject to the DP and power constraints, by controlling the transmission power on local gradient and artificial noise of each user. Our results show that multi-cell interference is beneficial to DP. |
20,018 | Please write an abstract with title: A Graph Structure to Discover Patterns in Unstructured Processes of Product Development, and key words: Decision making, Prototypes, Data science, Data structures, Product development, Rough surfaces, Data mining. Abstract: A well-known information reuse approach is to exploit event logs for process discovery and optimization. However, process discovery is rarely used for product development projects. This is because information systems in product development, e. g., Product-Lifecycle-Management (PLM) systems, do not provide the event logs required by process discovery algorithms. Additionally, existing algorithms struggle with development projects, as these are unstructured and rich in variety. In this paper, we propose a novel approach to process discovery in order to make it applicable and tailored to product development projects. Instead of using flat event logs, we provide a graph-based data structure that is able to represent both activities and data of product development projects with the dataflow between activities. Based on this structure, we can leverage provenance available in PLM systems. Furthermore, we may use frequent subgraph mining to discover process patterns. Such patterns are well suited to describe different variants and common sub-processes of unstructured processes. Using a prototype, we evaluate this approach and successfully discover prevailing patterns. These patterns may be used by engineers to support their decision-making or help improve the execution of development projects. |
20,019 | Please write an abstract with title: Towards purchase prediction: a voting-based method leveraging transactional information, and key words: Training, Costs, Machine learning algorithms, Probability, Boosting, Electronic commerce, Information technology. Abstract: Compared with typical B2C (Business to Customer) e-commerce firms (Wal-Mart, Amazon, etc.), the community e-commerce platform is an O2O (online to offline) business marketing to the surrounding residents. Operators need to verify who can be converted to loyal buyers and then target them to reduce marketing costs and increase the return on investment (ROI). This paper develops a dynamic and data-driven framework for predicting whether customers will make repeat purchases within a specific time in the near future. To this end, we propose a solution that includes feature engineering, sample equalization, model training, and integration. In our studies, the integration of extreme gradient boosting (XGB) and light gradient boosting machine (LGBM) proved to be the best performing method among developed models. Using a real-world data set containing nearly 90, 000 transactional records, we obtain a true positive rate of 89.5% and an AUC value of 0.894 for predicting subsequent week purchases on the test data-set. |
20,020 | Please write an abstract with title: The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities, and key words: Blades, Wind turbines, Wind speed, Rotors, Estimation, Pins, Wind forecasting. Abstract: The estimation of the rotor effective wind speed is used in modern wind turbines to provide advanced power and load control capabilities. However, with the ever increasing rotor sizes, the wind field over the rotor surface shows a higher degree of spatial variation. A single effective wind speed estimation therefore limits the attainable levels of load mitigation, and the estimation of the blade effective wind speed (BEWS) might present opportunities for improved load control. This letter introduces two novel BEWS estimator approaches: a proportional-integral-notch (PIN) estimator based on individual blade load measurements, and a Coleman estimator targeting the estimation in the nonrotating frame. Given the seeming disparities between these two estimators, the objective of this letter is to analyze the similarities between the approaches. It is shown that the PIN estimator, which is equivalent to the diagonal form of the Coleman estimator, is a simple but effective method to estimate the BEWS. The Coleman estimator, which takes the coupling effects between individual blades into account, shows a more well-behaved transient response than the PIN estimator. |
20,021 | Please write an abstract with title: An energy based power-aware routing protocol in ad hoc networks, and key words: Routing protocols, Intelligent networks, Ad hoc networks, Mobile computing, Bandwidth, Batteries, Wireless networks, Energy management, Multicast protocols, Network topology. Abstract: In ad hoc networks, designing an energy-efficient routing protocol is critical since nodes are power-constrained. The PCCB (power cost calculate balance) routing protocol is proposed. The basic idea of PCCB is to utilize the "local multicast" mechanism and the energy-boundary to select the route. Simulations show that the PCCB routing protocol can optimize power utilization and improve transmitting ratio. A PCCB network has a better performance than an AODV network. The PCCB routing protocol is feasible for the energy-constrained character of mobile ad hoc networks. |
20,022 | Please write an abstract with title: Flare: Flexible In-Network Allreduce, and key words: Analytical models, Architecture, High performance computing, Computer architecture, Telecommunication traffic, Switches, Bandwidth. Abstract: The allreduce operation is one of the most commonly used communication routines in distributed applications. To improve its bandwidth and to reduce network traffic, this operation can be accelerated by offloading it to network switches, that aggregate the data received from the hosts, and send them back the aggregated result. However, existing solutions provide limited customization opportunities and might provide suboptimal performance when dealing with custom operators and data types, with sparse data, or when reproducibility of the aggregation is a concern. To deal with these problems, in this work we design a flexible programmable switch by using as a building block PsPIN, a RISC-V architecture implementing the sPIN programming model. We then design, model, and analyze different algorithms for executing the aggregation on this architecture, showing performance improvements compared to state-of-the-art approaches. |
20,023 | Please write an abstract with title: The Role of Attention and Cognitive Workload in Measuring Levels of Task Complexity within Virtual Environments, and key words: VR, attention ratio, CWL, task complexity, EEG, H.l.2 [User/Machine Systems]: Human information processing, H.5.1 [Multimedia Information Systems]: Artificial, augmented and virtual realities, H.5.2 [User Interfaces]: Haptic I/O. Abstract: This paper studied the role of attention and cognitive workload (CWL) in measuring levels of task complexity. Within a virtual environment (VE), participants undertook a task with a baseline and 3 levels of the complexity. The baseline and levels were defined as those in an existing work. A well-known ratio of attention, AR, was computed from recorded brainwaves of the participants during the task. Their CWL was derived from a de-facto questionnaire of the NASA task load index. The study's outcomes indicated that, while the role of the AR in the measurement remained unclear, the CWL could serve the measurement. |
20,024 | Please write an abstract with title: Analytical performance of the LMS algorithm on the estimation of wide sense stationary channels, and key words: Performance analysis, Algorithm design and analysis, Least squares approximation, Estimation error, Time-varying channels, Context, Stochastic processes, Autocorrelation, Steady-state, Computer simulation. Abstract: The performance of the least mean square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix, the mean-square weight error (MSWE) and the mean-square estimation error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary (WSS) discrete time stochastic field with known autocorrelation. The expressions for the steady-state MSWE and MSE are particularized for the class of WSS channel models, and an original analysis of the optimum LMS step-size parameter for usual channel models is addressed. For the sake of comparison with other works, the analytical step-size optimization for random-walk models is also considered. Several estimates of MSWE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results for both the MSWE expressions and the optimum value of the LMS step-size parameter is shown. |
20,025 | Please write an abstract with title: Management of relative effective transmission rate in packet switching networks, and key words: Intelligent networks, Packet switching, Error correction codes, Feedback, Data communication, Tin, Error correction, Face detection, System performance, Automatic control. Abstract: The opportunity for increase of overall performance of a telecommunication network is considered at the expense of the increase of relative effective speed of transfer of each element of the system. The expediency of use of a mode of detection of mistakes and their partial correction is investigated with the varied statistical parameters of the channel. |
20,026 | Please write an abstract with title: A Low-Cost DC Chopper With Coupling Transformer for Offshore Wind VSC-HVdc System, and key words: Stator windings, Legged locomotion, Fault tolerant systems, Circuit faults, Torque, Current control, Production. Abstract: The dc chopper (DCC) is the key equipment of offshore wind voltage source converter based high-voltage direct current (VSC-HVdc) system. Combining the advantages of the ac chopper and the centralized DCC, a novel dc chopper with coupling transformer (CT-DCC) is proposed. The use of the coupling transformer can reduce the voltage on the concentrated resistor to eliminate the high-voltage wall bushing effectively. Compared with the traditional DCC, the cost of CT-DCC is reduced by 35% for ±400 kV/1100 MW offshore wind VSC-HVdc project. In addition, the application of the coupling transformer provides an opportunity for the introduction of freewheeling inductance, which greatly eliminates the interference of pulse-current generated by the existing DCC on dc-link voltage. Through system simulation, the peak value of the dc-link voltage during the fault ride through is 1.02 p.u., and the dc-link voltage ripple is only 1%–2%, which meets the system requirements. After the detailed analysis of the working principle and characteristics of CT-DCC, the control strategy and design principle are given. Furthermore, a prototype experiment of up to 10 kV/10 MW is conducted to verify the feasibility of CT-DCC. |
20,027 | Please write an abstract with title: The Normal Lattice-A Cascade Digital Filter Structure, and key words: Digital filters, Read only memory, PROM, Registers, Hardware, Clocks, Iterative algorithms, Frequency, Lattices, Algorithm design and analysis. Abstract: A normal lattice is defined as a cascade of two-input two-output second-order normal form digital filter modules. An analysis of this structure is presented along with an iterative algorithm for constructing the system eigenvectors, a scaling algorithm, and an explicit expression for roundoff noise gain. These expressions and algorithms provide an explicit design procedure for realizing arbitrary rational transfer functions for single-input single-output filters. Comparisons with other digital filter structures show that the normal lattice has very low roundoff noise and low coefficient sensitivity in realizations of narrow-band filters. This structure is also well adapted to the realization of complex filters. |
20,028 | Please write an abstract with title: An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction, and key words: Measurement, Deep learning, Solid modeling, Cloud computing, Computational modeling, Time series analysis, Computer architecture. Abstract: The prediction of traffic in regards to data services can be leveraged by cloud and edge computing orchestration mechanisms in order to minimize the costly number of resources being utilized and guarantee that the specified Quality of Services (QoS) metrics are within acceptable ranges. The service traffic prediction has a long history dating back to the 1990s that started with point process, time series statistical models followed by Recurrent Neural Networks. Contemporary cloud resource management mechanisms can provide resource allocation policies by leveraging multi-step traffic prediction.In this research paper, we compare statistical time series with Deep Learning (DL) models. We propose an encoder-decoder DL approach for multi-step traffic prediction. We examined four encoder-decoder DL architectures i) Stacked LSTMs, ii) CNN-LSTMs, iii) Bidirectional LSTM and iv) an innovative Hybrid Unidirectional-Bidirectional LSTM. We conducted experiments using a TCP trace data set with a 5 minutes time-step. We predict the number of requests, the transmitted data and the duration of the sessions with multi-steps in a range of one to five steps, which corresponds to a time window that spans 25 minutes in total. The results show that the encoder-decoder architecture provides better accuracy results in regards to predicting the traffic and the duration of the sessions. |
20,029 | Please write an abstract with title: The ultra-low absorption investigation in dielectrics and atmosphere within 45-200 GHz frequency band, and key words: Atmosphere, Frequency, Electromagnetic wave absorption, Dielectric thin films, Surface discharges, Gyrotrons, Dielectric materials, Anisotropic magnetoresistance, Atmospheric measurements, Dielectric measurements. Abstract: The new generation set of 45-200 GHz band for the investigation of dielectric absorption, including the atmosphere is created. Special attention is paid both to the investigation of ultralow absorption in the modern high-quality dielectrics, including thin films and to the atmospheric absorption, including the lines of oxygen and water absorption. It was found that Si and diamond output windows for the megawatt microwave gyrotrons have the essential absorption in thin, /spl Lt//spl lambda/, surface layer, leading to surface discharges. Practically all rolled film materials have the distinct anisotropy of dielectric parameters, which also depend upon the producer. The results of atmospheric absorption measurement have been compared with theoretical models. |
20,030 | Please write an abstract with title: On Comparative Analysis of Advanced Omega Network and Irregular Advance Omega Network, and key words: Computer science, Multiprocessor interconnection, High performance computing, Computer network reliability, Bandwidth, Information processing, Parallel processing. Abstract: Parallel computation gives strength to the applications where high end and reliable computation is required. It is now aligned with the latest technologies of computer science. Blockchain technology, IoT, DevOps, AI and ML are some of the examples of latest technologies. At the core of almost every technology, it is observed that parallel computation is required and interconnection network gives strength to parallel computing applications. Therefore, author has shown his interest in this particular domain. In the present paper, author has compared two interconnection networks i.e. advanced omega network and irregular advance omega network. The comparison is founded on certain performance factors like bandwidth, and throughput. Both of these networks are coming into the categories of multistage interconnection networks, which have a huge contribution in the field of parallel computing. Further, result section shows that advanced omega network is better in terms of performance than the irregular advance omega network at network size 16, and it can be used as an alternative network for the applications where high performance computing is required. |
20,031 | Please write an abstract with title: Sentiment Analysis of Visitor Reviews on Hotel In West Sumatera, and key words: Sentiment analysis, Conferences, Urban areas, Information security, Data visualization, Tag clouds, Data models. Abstract: Hotel XYZ is one of the hotels in Padang City and the only five-star hotel. Now, visitors can make hotel reservation online easily from online travel sites, one of them is from the TripAdvisor site. If was viewed from the site, it can be seen that hotel has low rating fairly if it compared with the other type of hotel. So, hotel management needs to arrange the strategy to increase the hotel rating again. This is the basic reason so that it needs to evaluate how the actual hotel market on this site, whether it is good or bad using sentiment analysis from visitor reviews data by classifying positive and negative sentiments. Classification method that used in this study is decision tree and it will be compared with other method, namely naïve bayes using k-fold cross validation. Calculation results of accuracy and precision value using decision tree give greater results than naive bayes while both methods have same recall value which indicate reliability in predicting positive data. Based on the value, it can be determined that classification results of positive sentiment are greater than negative sentiment. Thus, it can be concluded that Hotel XYZ on the TripAdvisor site get a lot of positive sentiment from visitors. |
20,032 | Please write an abstract with title: Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation, and key words: Correlation, Knowledge engineering, Task analysis, Standards, Network architecture, Prototypes, Training. Abstract: Knowledge distillation (KD) has become a widely used technique for model compression and knowledge transfer. We find that the standard KD method performs the knowledge alignment on an individual sample indirectly via class prototypes and neglects the structural knowledge between different samples, namely, knowledge correlation. Although recent contrastive learning-based distillation methods can be decomposed into knowledge alignment and correlation, their correlation objectives undesirably push apart representations of samples from the same class, leading to inferior distillation results. To improve the distillation performance, in this work, we propose a novel knowledge correlation objective and introduce the dual-level knowledge distillation (DLKD), which explicitly combines knowledge alignment and correlation together instead of using one single contrastive objective. We show that both knowledge alignment and correlation are necessary to improve the distillation performance. In particular, knowledge correlation can serve as an effective regularization to learn generalized representations. The proposed DLKD is task-agnostic and model-agnostic, and enables effective knowledge transfer from supervised or self-supervised pretrained teachers to students. Experiments show that DLKD outperforms other state-of-the-art methods on a large number of experimental settings including: 1) pretraining strategies; 2) network architectures; 3) datasets; and 4) tasks. |
20,033 | Please write an abstract with title: Secure Communication with Batteryless Sensors, and key words: Wireless communication, Wireless sensor networks, Software libraries, Software algorithms, Sensor systems, Nuclear power generation, Sensors. Abstract: Batteryless sensors have recently been proposed as an energy-efficient and cost-effective alternative to battery-powered sensors. By harvesting and immediately consuming ambient energy, it becomes unnecessary to design systems with large energy storages, which significantly increases their form factor, cost, and environmental impact. Many works have focused on designing batteryless systems that sense data, process it, and wirelessly broadcast processed data. Yet wireless security aspects of batteryless applications are only now receiving attention. In this work, we propose a secure communication system based on symmetric key encryption, that enables batteryless sensors to securely broadcast data. Furthermore, we demonstrate this system on a batteryless smartcard in two application scenarios: static sensor deployment for secure data gathering, and mobile device for identification purposes. Our experimental results demonstrate not only the feasibility of secure communication with batteryless devices but also the small overheads of introducing security in wireless beaconing applications. |
20,034 | Please write an abstract with title: Research and Application of Artificial Intelligence and Computer Big Data Technology in the Individualized Nursing Care Platform, and key words: Deep learning, Parameter estimation, Computational modeling, Software algorithms, Speech recognition, Medical services, Big Data. Abstract: Based on the DINO model, this article develops a separate multi-level scoring cognitive diagnosis model (P-DINO model) and uses a combination of Monte Carlo simulation and empirical research to discuss the performance and effectiveness of the new model. At the same time, we design a depression detection software based on voice signals, including an analysis system based on deep learning and user terminal software based on the iOS platform, to provide a new way for early screening of depression and to reduce depression detection to a certain extent the cost of. The results show that in the evaluation of depressive symptoms, the performance of the P-DINO model is better than that of the DINO model and the traditional evaluation of depressive symptoms. |
20,035 | Please write an abstract with title: Illumination and some of its fundamental considerations, and key words: Lighting, Buildings, Light sources, Floors, Fixtures, Manufacturing, Tools. Abstract: To some, the subject with which this paper treats may, at first thought, appear to be simple, and compared with other branches of engineering, relatively insignificant. When, however, we stop to consider and analyse the important part that artificial lighting plays in almost every sphere of endeavour, it becomes apparent that it is a subject of the utmost importance. Our home comforts, pleasures, industrial activities, safety along the streets after dark, and in travel, are all influenced to the greatest degree by artificial illumination. |
20,036 | Please write an abstract with title: Adaptive control with finite time persistency of excitation, and key words: Adaptive control, Stability, Programmable control, Delay, Control systems, Sufficient conditions, Poles and zeros, Adaptive systems, Silicon compounds, Adaptive filters. Abstract: An adaptive control algorithm for discrete-time SISO systems is presented. The main feature is the fact that it requires an external persistently exciting signal for a finite interval of time. In this way tracking of a class of signals (such as set points) can be achieved within an arbitrarily small error. |
20,037 | Please write an abstract with title: Adaptive Assessment Method of High Voltage Power Metering Operation Process Based on Information Fusion in VR Training, and key words: Training, Power measurement, Three-dimensional displays, Evidence theory, High-voltage techniques, Reliability theory, Safety. Abstract: In the relevant operation of power grid under high voltage circumstance, the adaptability evaluation of specific operation process, the priority guarantee strategy of important safety tasks, and the consistency and reliability evaluation of overall execution operation are the important basis for the establishment of safe operation rules. In this paper, a DS evidence theory based multi-level component evaluation index safety procedure operation evaluation standard is proposed. An example is given to analyze the electroscope operation in the operation behavior of power operation. The AHP and D-S evidence theory are applied to the adaptability evaluation of the operation flow of high-voltage power measurement. Based on the electroscope operation process, a tree structure of adaptability evaluation index for relevant operations was constructed. According to the comparison judgment of indicators in relevant operations, the judgment matrix between corresponding levels is constructed respectively, and the weight between corresponding levels is obtained through the matrix eigenvector. The d-S evidence theory is used to fuse the prior data to obtain the final fitness. The result is helpful to design a more reasonable operation process of safety regulations. |
20,038 | Please write an abstract with title: PHM as a Design Variable in Air Vehicle Conceptual Design, and key words: Prognostics and health management, Redundancy, Logistics, Process design, Design optimization, Costs, Maintenance, Unmanned aerial vehicles, Actuators, Constraint optimization. Abstract: Flight critical systems in air vehicles achieve required reliability through different redundancy design techniques including physical system redundancy. Prognostics and health management technology provides the opportunity to eliminate some of the physical redundancy (and associated weight) through implementation of accurate remaining useful life (RUL) algorithms. Consideration of this subsystem design approach upfront during the conceptual design process rather than downstream during the detailed design phase of the air vehicle system may produce a more optimal air vehicle configuration with regard to reliability and weight. Results are presented for an unmanned air vehicle design optimization which included RUL algorithm confidence, control surface actuator redundancy and control surface configuration as optimization variables. Optimization constraints included landing dispersion, mission reliability and mission availability. Reductions in air vehicle weight were achieved with reasonable RUL accuracy requirements. |
20,039 | Please write an abstract with title: Design of a load balancing method for multiple routing configurations, and key words: Electric potential, Design methodology, Routing, Load management, Consumer electronics. Abstract: Multiple Routing Configurations (MRC) algorithm is one of network failure recovery techniques, which prepares multiple backup routing configurations for recovering from a single node/link failure. In this paper, we propose a load balancing method for MRC. The proposed method improves uneven link loads of backup routing configurations by reconstructing component elements of the configurations based on network potentials. Through numerical experiments, we show that the effectiveness of the proposed method. |
20,040 | Please write an abstract with title: Distance-Level Fusion Strategies for Online Signature Verification, and key words: Handwriting recognition, Biometrics, Feature extraction, Authentication, Fingerprint recognition, Biosensors, Testing, Sensor fusion, Distance measurement, Databases. Abstract: In this paper an approach for combining online signature authentication experts will be proposed. The different experts are based on one feature extraction method presented in our earlier work, the Biometric Hash algorithm [C. Viehauer, et al., (2002)], to which different distance measurement functions are applied. We will show that by the fusion of several algorithms with an appropriately parameterized strategy an improvement of the recognition accuracy can be achieved. The best fusion strategy results in a decrease of the EER of 12.1% in comparison to the best individual algorithm. The database we used contains 1761 genuine enrollments (with 4 signatures per enrollment), 1101 genuine verification signatures and 431 well skilled forgeries (so-called "brute force attack") by 22 persons. Based on our experimental results, we further discuss usability of alternative handwriting semantics such as pass phrases or PIN |
20,041 | Please write an abstract with title: Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions, and key words: Trajectory, Runtime, Uncertainty, Robots, Predictive models, Adaptation models, Actuators. Abstract: Changes in model dynamics due to factors like actuator faults, platform aging, and unexpected disturbances can challenge an autonomous robot during real-world operations affecting its intended behavior and safety. Under such circumstances, it becomes critical to improve tracking performance, predict future states of the system, and replan to maintain safety and liveness conditions. In this letter, we propose a meta-learning-based framework to learn a model to predict the future system's states and their uncertainties under unforeseen and untrained conditions. Meta-learning is considered for this problem thanks to its ability to easily adapt to new tasks with a few data points gathered at runtime. We use the predictions from the meta-learned model to detect unsafe situations and proactively replan the system's trajectory when an unsafe situation is detected (e.g., a collision with an object). The proposed framework is applied and validated with both simulations and experiments on a faulty UAV performing an infrastructure inspection mission, demonstrating safety improvements. |
20,042 | Please write an abstract with title: A Benchmark of Deep Learning Models for Multi-leaf Diseases for Edge Devices, and key words: Deep learning, Computational modeling, Memory management, Crops, Production, Manuals, Benchmark testing. Abstract: Every season, leaf diseases are one of the main causes affecting the production of many crops, which cause enormous damage to farmers. To minimize the loss, deep learning techniques are utilized to detect leaf infection and have wildly outperformed the traditional method of manual detection. However, deploying such models is a challenge since devices in the field normally have limited resources and low computational power while large datasets have to be used. Therefore, in this paper, we benchmark the most popular deep learning models for multi-leaf disease detection to gauge which model is the most suitable for real deployment. Using a real-world large-scale dataset from PlantVillage and a Raspberry Pi 3, we found that MobileNet V3 provides a reliable accuracy of 96.58%, small Inference/Initialization time of 127 ms and 11 ms respectively, requires only 7.4 MB of memory in total, and hence the most appropriate choice for a real farm. |
20,043 | Please write an abstract with title: Randomized RANSAC with sequential probability ratio test, and key words: Sequential analysis, Standards publication, Contamination, Decision making, Testing, Cybernetics, Algorithm design and analysis, Robustness, Computer vision, Cost function. Abstract: A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-controllable probability n. A provably optimal model verification strategy is designed for the situation when the contamination of data by outliers is known, i.e. the algorithm is the fastest possible (on average) of all randomized RANSAC algorithms guaranteeing 1 - n confidence in the solution. The derivation of the optimality property is based on Wald's theory of sequential decision making. The R-RANSAC with SPRT which does not require the a priori knowledge of the fraction of outliers and has results close to the optimal strategy is introduced. We show experimentally that on standard test data the method is 2 to 10 times faster than the standard RANSAC and up to 4 times faster than previously published methods. |
20,044 | Please write an abstract with title: Fabrication and characterization of surface and buried optical waveguides made by ion exchange on glass, and key words: Optical waveguides, Optical device fabrication, Surface waves, Optical surface waves, Particle beam optics, Glass, Slabs, Costs, Optical fiber communication, Communications technology. Abstract: Low cost fabrication of surface and buried optical slab waveguides was achieved using a locally developed ion exchange on glass technology. The guides fabricated were optically characterized and their optical and diffusion characteristics extracted. Expected thermal diffusion characteristics of potassium/sodium (K/sup +//Na/sup +/) ionic exchange on soda-lime glass were generally observed. The fabrication and characterization of optical slab waveguides and the involved exchange processes serve currently as educational tools for senior students in the field of optical communications and related technologies. They were also implemented as a first stop towards the realization of an integrated optics technological basis for research and industrial development. |
20,045 | Please write an abstract with title: A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing, and key words: Channel models, Visible light communication, Shadow mapping, Optical scattering, Optical receivers. Abstract: Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, optical links in the visible light spectrum are under intense research for underground mining applications due to their high transmission rates and immunity to electromagnetic interference. However, the design of a robust visible-light communication (VLC) system for underground mining is a challenging task due to the harsh propagation conditions encountered in mining tunnels. To assist researchers in the design of such VLC systems, we present in this paper a novel channel model that incorporates important factors that influence the quality of the VLC link in underground mines. Features such as an arbitrary positioning and orientation of the optical transmitter and receiver, tunnels with irregular walls, shadowing by large machinery, and scattering by dust clouds are considered. These factors are integrated into a single modeling framework that lends itself for the derivation of compact mathematical expressions for the overall DC gain, the impulse response, the root mean square delay spread, and the received power of the proposed VLC channel model. Our analytical results are validated by computer simulations. These results show that the rotation and tilt of the transmitter and receiver, as well as the tunnels' irregular walls have a notorious influence on the magnitude and temporal dispersion of the VLC channel's line of sight (LoS) and non-LoS components. Furthermore, results show that shadowing reduces the LoS component's magnitude significantly. Our findings also show that scattering by dust particles contributes slightly to the total VLC channel gain, although it generates a large temporal dispersion of the received optical signal. |
20,046 | Please write an abstract with title: Implementations of Integration Functions in IoT Application Server Platform, and key words: Location awareness, Electrical engineering, Protocols, Packet loss, Fingerprint recognition, Real-time systems, Internet of Things. Abstract: Currently, we are developing the IoT (Internet of Things) application server platform named Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) for collecting, saving, analyzing, and visualizing data from various IoT devices. Unfortunately, the current implementation does not offer necessary functions for synchronizing and integrating data with independent IoT application systems. In this paper, we implement integration functions for data synchronizations, communications, and plug-in capabilities, using the MQTT protocol and REST API services in SEMAR. For evaluations, we integrated SEMAR with two IoT application systems, the air-conditioning guidance system and the fingerprint-based indoor localization system, using the implemented functions. The results show that packet losses and transmission delays at data communications can be reduced by the built-in MQTT server. Besides, the effectiveness of the implemented IoT application server platform is confirmed through qualitative evaluations of features with comparisons with existing state-of-the-art ones. |
20,047 | Please write an abstract with title: Singularity analysis of the HALF parallel manipulator with revolute actuators, and key words: Actuators, Manipulators, Leg, Service robots, Kinematics, Parallel robots, Robustness, Design engineering, Aerospace engineering, Joining processes. Abstract: This paper concerns the singularity of the half parallel manipulator, a novel three degrees of freedom (DOFs) mechanism, with revolute actuators. The parallel manipulator, proposed previously, consists of a base plate, a movable platform, and three connecting legs. It has the advantages in terms of only single-DOF joints and high rotational capability. The parallel manipulator has wide application in the fields of industrial robots, simulators, parallel machine tools and any other manipulating devices that high rotational capability is required. The inverse kinematics problem and Jacobian matrices are recalled firstly. And then all possible singularities of the manipulator are analyzed in detail. The results of the paper are very useful for the apprehension and the application of the manipulator. |
20,048 | Please write an abstract with title: Scalable Multi-Chain Coordination via the Hierarchical Longest Chain Rule, and key words: Throughput, Proof of Work, Blockchains, Security, IEEE transactions. Abstract: This paper introduces BlockReduce, a Proof-of-Work based blockchain system which achieves high transaction throughput by means of a hierarchy of merged mined blockchains, each operating in parallel on a partition of the overall application state. Most notably, the full PoW available within the network is applied to all blockchains in BlockReduce, and cross-blockchain state transitions are enabled seamlessly within the core protocol. This paper shows that, given a hierarchy of blockchains and its associated security model, BlockReduce scales superlinearly in transaction throughput with the number of blockchains operated by the protocol. |
20,049 | Please write an abstract with title: 2.2 High-Performance and Small Form-Factor mm-Wave CMOS Radars for Automotive and Industrial Sensing in 76-to-81GHz and 57-to-64GHz Bands, and key words: Spaceborne radar, Robot sensing systems, Radar antennas, Sensors, Radar applications, Solid state circuits, Automotive engineering. Abstract: Millimeterwave (mm-Wave) radar sensors operating in the 76-to-81 GHz band are a key component of advanced driver-assistance systems (ADAS) for enhanced automotive safety. The recent entry of CMOS solutions in this space has accelerated development of multi-mode Radars that can support long, medium and short-range applications [1–3]. As ADAS applications evolve to support higher levels of autonomy, there is increased demand on radar sensors for improved maximum range, velocity, and angular resolution. Emerging automotive in-cabin occupancy sensing applications are creating opportunities for short-range, high-resolution sensors operating in 60/77GHz bands (depending on the regulatory market). The unlicensed 60GHz band has also enabled industrial sensing opportunities across diverse markets such as robotics, building automation, and healthcare. Several of these broad-market applications require inexpensive and small form factor sensors that can be deployed on low cost PCBs (e.g., FR4) without expertise in mm-Wave design. In this paper, we describe our high-performance 76-to-81GHz FMCW Automotive Radar that supports multi-chip cascading to enable higher angular resolution and a compact 57-to-64 GHz single-chip Radar with integrated antennas on package. All devices are built on a 45nm bulk CMOS technology with 9 metal layers and packaged using flip-chip BGA technology. |
20,050 | Please write an abstract with title: Visualising a fund manager flow graph with columns and worms, and key words: Flow graphs, Data visualization, Stock markets, Computer worms, Share prices, Histograms, Computer network management, Computer science, Fluctuations, Bars. Abstract: We describe a paradigm for visualising time dependent flow in a network of objects connected by abstract relationships (a graph) by representing time in the third dimension. We show two variants of the paradigm, one in which the elements of the graph are shown as vertical columns of varying width and another which emphasises centrality with bending "worms". We demonstrate these techniques by visualising the movements of Fund Managers within the UK Stock Market in terms of their changing share ownership over time. |
20,051 | Please write an abstract with title: Efficient Identity-Based Distributed Decryption Scheme for Electronic Personal Health Record Sharing System, and key words: Medical services, Encryption, Servers, Public key, Electronic mail. Abstract: The rapid development of the Internet of Things (IoT) has led to the emergence of more and more novel applications in recent years. One of them is the e-health system, which can provide people with high-quality and convenient health care. Meanwhile, it is a key issue and challenge to protect the privacy and security of the user's personal health record. Some cryptographic methods have been proposed such as encrypt user's data before sharing it. However, it is complicated to share the data with multiple parties (doctors, health departments, etc.), due to the fact that data should be encrypted under each recipient's keys. Although several (t, n) threshold secret sharing schemes can share the data only need one encryption operation, there is a limitation that the decryption private key has to be reconstructed by one party. To offset this shortcoming, in this paper, we propose an efficient identity-based distributed decryption scheme for personal health record sharing system. It is convenient to share their data with multiple parties and does not require to reconstruct the decryption private key. We prove that our scheme is secure under chosen-ciphertext attack (CCA). Moreover, we implement our scheme by using the Java pairing-based cryptography (JPBC) library on a laptop and an Android phone. The experimental results show that our system is practical and effective in the electronic personal health record system. |
20,052 | Please write an abstract with title: MPC Based Power Allocation for Reliable Wireless Networked Control Systems, and key words: Feedforward systems, Wireless communication, Reliability, Resource management, Optimization, Control systems, Protocols. Abstract: This paper considers a wireless networked control system (WNCS) where the controller and controlled object (plant) are connected via an unreliable wireless network. The control system should be designed considering the reliability of the given network while its network reliability is controllable by changing transmission power. Thus, this paper provides a joint optimization of transmission power and control-input for the focused WNCS, which is a kind of cross-layer design of communication and control layers. This work assumes that the total transmission power for the feedforward (from the controller to plant) and feedback (from the plant to controller) channels is limited and can be adaptively allocated to each wireless channel. If more transmission power is allocated to the feedforward channel, the control-input can be more reliably transmitted, while the control-state is less reliably transmitted over the feedback channel. Furthermore, the appropriate power allocation depends on the control-state and the previous communication results. Considering the above facts, this paper proposes a model-predictive control (MPC) based joint optimization and shows that the proposed system can provide appropriate power allocation and control-input and thus can enhance the quality of control. |
20,053 | Please write an abstract with title: Designing a linear controller for polynomial systems with the largest domain of attraction via LMIs, and key words: Control systems, Polynomials, Lyapunov method, Stability, Algorithm design and analysis, Shape, Symmetric matrices, Nonlinear control systems, Design optimization, Nonlinear systems. Abstract: The problem of designing a linear controller for nonlinear polynomial systems that results the largest domain of attraction is considered. Moreover, using the proposed algorithm, the shape of the approximation of domain of attraction can be defined, due to importance and change of different states of system. To compute the estimate of the region of attraction, a Lyapunov function has been used. The designing problem involves solving a double nonconvex optimization problem, which can be changed to a semiconvex optimization problem, via linear matrix inequalities (LMI). |
20,054 | Please write an abstract with title: An implanted antenna in the spherical human head: SAR and communication link performance, and key words: Humans, Head, Dipole antennas, Finite difference methods, Dielectric devices, Mobile antennas, Implantable biomedical devices, Telemetry, Electromagnetic scattering, Electromagnetic analysis. Abstract: To characterize the performance of implantable biomedical devices, the interactions between the devices and the human body need to be properly assessed. Specifically, wireless telemetry systems for biomedical applications require a reliable communication link between the interior device and the exterior equipment for exchange of required data and information. This paper mainly deals with the implantable antennas embedded on the head telemeter. To generate parametric data, the electromagnetic scattering analysis is confined to the human head and dipole antennas. |
20,055 | Please write an abstract with title: An Efficient Polynomial Multiplier Architecture for the Bootstrapping Algorithm in a Fully Homomorphic Encryption Scheme, and key words: Computer architecture, Ciphers, Hardware, Encryption, Acceleration, Signal processing algorithms. Abstract: Bootstrapping algorithm, which is the intermediate refreshing procedure of a processed ciphertext, has been the performance bottleneck among various existing Fully Homomorphic Encryption (FHE) schemes. Specifically, the external product of polynomials is the most computationally expensive step of bootstrapping algorithms that are based on the Ring Learning With Error (RLWE) problem. In this paper, we design a novel and scalable polynomial multiplier architecture for a bootstrapping algorithm along with a conflict-free memory management scheme to reduce the latency, while achieving a full utilization of the processing elements (PEs). Each PE is a modified radix-2 butterfly unit from fast Fourier transform (FFT), which can be reconfigured to use in both the number theoretic transform (NTT) and the basic modular multiplication of polynomial multiplication in the external product step. The experimental results show that our design yields 33% less area-time product than prior designs. |
20,056 | Please write an abstract with title: A Self-Data-Driven Method for Lifetime Prediction of PV Arrays Considering the Uncertainty and Volatility, and key words: Degradation modelling, nonlinear gamma process, remaining useful lifetime (RUL) prediction, health indicator (HI) reconstruction, photovoltaic array (PV). Abstract: This paper proposes a self-data-driven method for remaining useful life prediction of PV arrays based on selfcondition monitoring data considering the uncertainty and volatility. First, a health indicator (HI) reconstruction method is presented to eliminate the uncertainty and volatility of condition monitoring data. Second, a nonlinear Gamma stochastic process model is established to describe the probability distribution of the degradation trend. Then, the model parameter solution is transformed into an optimization problem, and a hybrid particle swarm and grey wolf optimization algorithm (PSO-GWO) is developed to estimate the model parameters avoiding trapping in local optimization and divergence. Finally, two case studies are demonstrated to verify the effectiveness of the proposed method based on the DKASC and NREL datasets, and the performance is further evaluated in comparisons with the empirical models, statistical models and long short-term memory (LSTM) network. Experimental results demonstrate that the proposed method has excellent RUL prediction accuracy. |
20,057 | Please write an abstract with title: Agile Methodology Advantages when delivering Internet of Things projects, and key words: Testing, Software, Internet of Things, Hardware, User interfaces, Market research, Sensors. Abstract: This paper was written to explain why certain software delivery methodologies can be recommended for building Internet of Things projects. The main delivery method detailed in this paper is represented by the Agile methodology and how can be applied when developing Internet of Things projects. We structured a case study around a home automation project, which is relevant when trying to highlight the advantages of the Agile approach compared to other delivery methods such as waterfall, V-model and so on. To be even more specific, the chosen Agile methodology presented in this paper is the most popular one, represented by Agile Scrum. |
20,058 | Please write an abstract with title: Random properties of the highest level sequences of primitive sequences over Z(2/sup e/), and key words: Polynomials, Binary sequences, Autocorrelation, Microprocessors, Cryptography, Mathematics, Entropy. Abstract: Using the estimates of the exponential sums over Galois rings, we discuss the random properties of the highest level sequences /spl alpha//sub e-1/ of primitive sequences generated by a primitive polynomial of degree n over Z(2/sup e/). First we obtain an estimate of 0, 1 distribution in one period of /spl alpha//sub e-1/. On the other hand, we give an estimate of the absolute value of the autocorrelation function |C/sub N/(h)| of /spl alpha//sub e-1/, which is less than 2/sup e-1/(2/sup e-1/-1)/spl radic/3(2/sup 2e/-1)2/sup n/2/+2/sup e-1/ for h/spl ne/0. Both results show that the larger n is, the more random /spl alpha//sub e-1/ will be. |
20,059 | Please write an abstract with title: The Virtues of Nonlinearity - Detection, Frequency Conversion, Parametric Amplification and Harmonic Generation, and key words: Frequency conversion, Detectors, Receivers, Wire, Headphones, Springs, Solid state circuits, Rectifiers, Silicon, Batteries. Abstract: In the late 1920's when I was 9 and my brother Laurence was 12, he spent his life savings to buy a "crystal set". This was an exceedingly simple radio receiver. It had no tubes, it required no battery, and it had no power cord. It was a black box about 6 x 6 x 2 in. On its top were two tuning knobs, a number of binding posts, and a "crystal." Following instructions, we connected an "aerial," a ground wire, and a pair of earphones. The crystal itself was a piece of rock-like mineral; galena, I believe. It had a polycrystaline multifaceted surface, It was clamped in a metal cup, Facing the crystal was a pointed spring wire mounted in a ball-joint holder, designed so that the point could be placed anywhere on the surface of the crystal and be set to remain there under spring pressure. This was known as the "cat whisker." Again, following instructions, with the earphones in place, Laurence searched for and found a sensitive spot, after many tries. Eureka! He could hear the nearest local radio station, faintly but clearly. We spent many hours with this receiver, not all happy. The crystal contact was erratic and the sound was always faint. We would lose the signal quite frequently, necessitating a search for a new sensitive spot on the crystal. |
20,060 | Please write an abstract with title: The Resource Dynamic Recombination and Its Technology Development of Space TT&C Equipment, and key words: Baseband, Monitoring, Antenna arrays, Dynamic scheduling, Transmitting antennas, IP networks, Resource management. Abstract: For large satellite ground stations with multiple parabolic antennas or multi-beam digital array antennas, the construction of tracking, telemetry and command (TT&C) equipment is suitable for an architecture based on resource dynamic recombination technology. Facing engineering application, system structure and equipment configuration scheme of resource recombination system are designed, and a method of resource recombination and scheduling is put forward. At the same time, aiming at the development requirements of integration, digitization, generalization and intelligence of satellite TT&C equipment, the technology development direction of resources dynamic recombination and the key technologies needed to be broken through are discussed in this paper. |
20,061 | Please write an abstract with title: A Proposed Secure Mobile Money Transfer System for SME in Bangladesh: An Industry 4.0 Perspective, and key words: Authentication, Banking, Iris recognition, Reliability, Companies. Abstract: Nowadays, the fourth industrial revolution (Industry 4.0) sets new goals for production and impacts on industrial values. Adopting Industry 4.0 in Small and Medium Enterprises (SMEs) provides new paradigms for industrial management to enhance the business policies and outcomes. Payments in SMEs primarily follow the existing banking system in Bangladesh. Again, though the mobile money transferring system is a convenient and easy way, it required to be highly secure and reliable. Thus, an automated and secured mobile money transfer can be introduced towards adopting the Industry 4.0 in SMEs in Bangladesh. Therefore, the objective of this article is to propose a money transfer system to automate and enhance the security of payment process for SMEs in Bangladesh. To attain this objective, a conceptual framework from an Industry 4.0 perspective along with required algorithm is proposed here. The proposed system includes iris verification technique to authenticate a user uniquely and consistently over the time. The theoretical justification and expected benefits are also discussed. |
20,062 | Please write an abstract with title: Unexpected electronic properties of strained La/sub 1.85/Sr/sub 0.15/CuO/sub 4/ epitaxial films, and key words: Strontium, Superconducting films, Photoelectricity, Substrates, Capacitive sensors, Doping, Superconductivity, Uniaxial strain, Pulsed laser deposition, Dispersion. Abstract: Surprising results on electronic properties of strained thin La/sub 1.85/Sr/sub 0.15/CuO/sub 4/ epitaxial films are reported. We report on the very first angle resolved photoemission (ARPES) measurements of the dispersion on in-situ grown, in-plane compressed T-phase LSCO films (showing T/sub C/ enhancement). The data show clear band crossing, implying that in-plane compressive strain at constant doping results in the suppression of the saddle point, changing the topology of the Fermi surface from hole-like to electron-like. |
20,063 | Please write an abstract with title: Stationary Channel Factors and Signal Disturbances in a Direct Converter Receiver in a System with MIMO Joint Estimation Algorithm, and key words: Frequency estimation, Estimation, Channel estimation, Receiving antennas, MIMO communication, Nonlinear distortion. Abstract: The article discusses the algorithm for the joint estimation of the stationary channel factors and signal distortions, such as DC drift, the frequency shift remaining from the demodulation procedure, amplitude and phase imbalance (IQ-imbalance). The problem of estimating unknown parameters is solved in two stages, by combining two procedures. The first, based on the polynomial approximation of the generalized communication channel and the linear least squares (MLS) method, estimates the constant components of the signal quadrature, amplitude and phase imbalance, as well as a rough estimate of the channel frequency and factors. The second procedure is synthesized using the Taylor approximation, a modified method of least squares in the form of a functional A.N. Tikhonov and regularization method. It is a nonlinear recursive algorithm for obtaining a more accurate estimate of the frequency and channel factors. This approach allows a sufficiently high estimation accuracy to reduce the complexity of the algorithm compared to using only the second procedure. The resulting algorithm works under conditions of uncorrelated Rayleigh fading in MIMO systems with spatial multiplexing with a priori uncertainty regarding the statistical characteristics of the communication channel (except for the dispersion of additive noise) and the laws of noise distribution, both phase and additive. |
20,064 | Please write an abstract with title: External EMI effects on a CMOS circuit in a cavity with an aperture, and key words: Electromagnetic interference, Apertures, Microstrip, Transfer functions, Voltage, Frequency, Circuit simulation, Coupling circuits, Resonance, Adders. Abstract: This paper explores the disruption of a simple CMOS circuit in a rectangular cavity with a rectangular aperture. The CMOS circuit is fed by a microstrip line on the back face of the cavity opposite to the aperture. A cavity transfer function is determined that relates the E-field strength at the face of the cavity to a voltage at the input to the first gate of a 4-bit full adder circuit. Various waveshapes are analyzed using the cavity transfer function to get a modified wave at the input to the circuit and then determine the relative bit error rates of the various interference waveforms. |
20,065 | Please write an abstract with title: An advanced design method of bursting in Fitzhugh-Nagumo model, and key words: Design methodology, Bifurcation, Mathematical model, Biomembranes, Oscillators, Limit-cycles, Brain modeling, Concrete, Cells (biology), Physics. Abstract: Spiking and bursting observed in nerve membranes seem to be important when we investigate the information representation model of the brain. Many topologically different bursting responses are observed in the mathematical models and their related bifurcation mechanisms have been clarified. In this paper, we propose an advanced design method to generate bursting responses in FitzHugh-Nagumo (FHN) model with a simple periodic external force based on bifurcation analysis. Some effective parameter perturbations for the amplitude of the external input are given from the 2-parameter bifurcation diagram. A forced BVP oscillator as an analogy of FHN model indicates an expected type of bursting. We also present laboratory experiments. |
20,066 | Please write an abstract with title: Holistic Design of Small-Scale Oscillating Water Column in Stand-Alone DC Microgrid, and key words: Performance evaluation, Computational fluid dynamics, Power system simulation, Power system dynamics, Microgrids, Power system stability, Supervisory control. Abstract: Oscillating water column (OWC) technology is one of the most popular wave energy converters (WECs) that converts ocean wave energy into electrical energy. Currently, most of the development and implementation of the OWCs have focused on large-scale design. Instead, this paper suggests a holistic design of a small-scale OWC system because the small-scale OWC model is less exploited yet. The small-scale OWC system can be utilized as an inexpensive modular device in the DC microgrid. For the holistic design of the small-scale OWC, Computational Fluid Dynamics (CFD) analysis is performed to design the Wells turbine that is applicable to the small-scale OWC device. Then, the Electromagnetic-Transient (EMT) based power system simulation examines the electric conversion and control of the small-scale OWC system. Furthermore, the EMT-based power system simulation tests and verifies the system dynamics and stability of the small-scale OWC system in the stand-alone DC microgrid. |
20,067 | Please write an abstract with title: Analysis of Personality Traits using Natural Language Processing and Deep Learning, and key words: Machine learning, Feature extraction, Support vector machines, Natural language processing, Classification algorithms, Training, Conferences. Abstract: Personality test and analysis is an important factor in an individual's overall development. Most known personality test followed by people is Myer Briggs Test Indicator. While these tests are conducted by psychologists, it is very easy to deceive them in order to get the personality type of our choice, as these questions are very straight forward. This paper focuses on automating this task with the help of Neural Networks by using images instead of questions. A labelled dataset with user responses on social media along with their personality type is used for analysis. After cleaning, relevant response features are extracted using NLP followed by applying suitable classification algorithms. A model is trained to accurately predict the personality type of users based on their responses, which is then deployed on an interactive website in the form of a personality test. |
20,068 | Please write an abstract with title: Control and Power Management of a 24-Hour DC Microgrid Improved Model, and key words: Renewable energy sources, Computational modeling, Microgrids, Software, Complexity theory, Table lookup, Mathematical model. Abstract: In recent decades, the microgrid concept emerged as a solution to electrify remote areas and integrate renewable energy sources to mitigate environmental pollution. Owing to the evolution of power electronic devices, the ease of control, and the improved efficiency and reliability, DC microgrids are gaining increased interest. Many kinds of research address the hierarchical control in DC microgrids to accomplish multi-objectives. On the first and second levels, the control targets fast dynamic variables to achieve its objectives. Yet, on a third control level, general management functionalities are executed. Many of these management functionalities target the system variables with a slower dynamic and so, to prove the effectiveness of the proposed hierarchical control, a 24-hour model simulation is required. The wide time-range dynamics of the existing system variables make the 24-hour modeling subject a complicated matter especially, on standard computers with conventional performances. To overcome this problem, this paper proposes a 24-hour DC microgrid model which offers the best tradeoff between model precision, complexity, and simulation speed. The multi-objectives hierarchical control is adopted: on a first and second control level, several averaging techniques are introduced and compared to a detailed reference model in terms of accuracy and calculation step size. DC microgrid's general management strategy is adopted on the third control level. Simulation tests are performed on MATLAB/Simulink software to prove the viability of the proposed 24-hour model. |
20,069 | Please write an abstract with title: Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior, and key words: Feature extraction, Trajectory, Behavioral sciences, Smart transportation, Intelligent systems. Abstract: In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future action, e.g., start crossing, can be dependent on traffic surroundings. In this paper, we develop a framework to incorporate such dependency given observed pedestrian trajectory and scene frames. Our framework first encodes regional joint information between a pedestrian and surroundings over time into feature-map vectors. The global relation representations are then extracted from pairwise feature-map vectors to estimate intent with past trajectory condition. We evaluate our approach on two public datasets and compare against two state-of-the-art approaches. The experimental results demonstrate that our method helps to inform potential risks during crossing events with 0.04 improvement in F1-score on JAAD dataset and 0.01 improvement in recall on PIE dataset. Furthermore, we conduct ablation experiments to confirm the contribution of the relation extraction in our framework. |
20,070 | Please write an abstract with title: Cost-reducing protein production and delivery for sexually transmitted disease prevention, and key words: Proteins, Production, Diseases, Plants (biology), Immune system, Chemical engineering, Mice, Polymers, Vaccines, Biological system modeling. Abstract: Discusses producing vaccines and antibody proteins from plants with "green vaccines". In passive immunization, antibodies are produced outside the body and manufactured to be active against a specific pathogen (such as herpes virus). With active immunization, one of the major obstacles to cost-reduction is the identification of inexpensive but effective methods for converting the plant cells or tissues into an orally active formulation. |
20,071 | Please write an abstract with title: SGBEHIM: Smart GIS Based Emergency Healthcare Infrastructure Mapping, and key words: Hospitals, Urban areas, Gynecology, Information filters, Real-time systems, Planning, Cardiology. Abstract: Being the second most populated country in the world, India accounts for twenty percentage of global disease burden. Lack of access to efficient healthcare at the time of emergency is one of the prime issues which needs to be addressed. The proposed GIS Based Emergency Healthcare Infrastructure Mapping provides a robust mechanism which facilitates in mapping the most efficient health-care center for treating diseases such as Gynecology, cardiology and Bronchiectasis etc. In the users vicinity at critical situations by using Geographical Information System (GIS). Since the vital real time parameters such as availability of doctors, equipment etc., are considered, the proposed system excels in providing an efficient healthcare center mapping for a particular search by the user via shortest route. The proposed work is carried out by using ArcGIS and administered within Mysuru city, India. |
20,072 | Please write an abstract with title: A Novel Framework to Synthesize Arterial Spin Labeling Images using Difference Images, and key words: Laplace equations, Image synthesis, Generative adversarial networks, Medical diagnosis, Labeling, Artificial intelligence, Medical diagnostic imaging. Abstract: Arterial spin labeling (ASL) images that are capable to quantitatively measure the cerebral blood flow receive increasing research attention in recent dementia diseases diagnosis studies. However, this important and relatively new imaging modality is unfortunately not commonly seen in many well-established image-based dementia datasets, including the ADNI-1/2/3/Go datasets. Hence, synthesizing ASL images to supplement this important modality is valuable. In this study, a new framework based on a cascade of generative adversarial networks (GANs) and difference images generated from a Laplacian pyramid is proposed. This framework is novel as it is the first attempt to incorporate difference images for synthesizing medical images. Experimental results based on a 355-demented patient dataset and ADNI-1 dataset suggest that, this new framework outperforms all state-of-the-arts in ASL image synthesis. Also, synthesized ASL images obtained by this new framework are capable to significantly improve the accuracy of dementia diseases diagnosis performance. |
20,073 | Please write an abstract with title: Cyber Bullying Detection Using Machine Learning, and key words: Representation learning, Technological innovation, Pediatrics, Machine learning algorithms, Semantics, Noise reduction, Blogs. Abstract: Cyber bullying has evolved as a severe problem hurting children, teenagers, and young adults as a result of the increasing use of social media. Automatic detection of bullying communications in social media is now possible, thanks to machine learning techniques, which could aid in the creation of a healthy and safe social media environment. One major issue in this important research area is robust and discriminative numerical representation learning of text messages. To address this challenge, we offer a new representation learning method in this study. The Semantic-Enhanced Marginalized Denoising Auto-Encoder (SMSDA) is a semantic enhancement of the popular deep learning model stacked denoising Auto-Encoder. The semantic extension is made up of semantic dropout noise and sparsity constraints, with the semantic dropout noise being the most important. |
20,074 | Please write an abstract with title: Debiasing Skin Lesion Datasets and Models? Not So Fast, and key words: Lesions, Correlation, Skin, Task analysis, Training, Feature extraction, Data models. Abstract: Data-driven models are now deployed in a plethora of real-world applications - including automated diagnosis - but models learned from data risk learning biases from that same data. When models learn spurious correlations not found in real-world situations, their deployment for critical tasks, such as medical decisions, can be catastrophic. In this work we address this issue for skin-lesion classification models, with two objectives: finding out what are the spurious correlations exploited by biased networks, and debiasing the models by removing such spurious correlations from them. We perform a systematic integrated analysis of 7 visual artifacts (which are possible sources of biases exploitable by networks), employ a state-of-the-art technique to prevent the models from learning spurious correlations, and propose datasets to test models for the presence of bias. We find out that, despite interesting results that point to promising future research, current debiasing methods are not ready to solve the bias issue for skin-lesion models. |
20,075 | Please write an abstract with title: The 3D McMaster Algorithm for Traffic Congestion Detection, and key words: Traffic congestion, Bayes methods, Three-dimensional displays, Standards, Correlation, Biological neural networks. Abstract: Traffic congestion detection is a key issue in the research of intelligent transportation system (ITS). McMaster Algorithm, one of the most classical single-station congestion detection algorithms, has been widely used in practice. However, it doesn't consider the effect of speed on volume and occupancy, and requires manual calibration of parameters, which results in a lower detection rate. To solve these problems, a three-dimensional McMaster algorithm is proposed in this paper. Based on the analysis of the spatial distribution characteristics of congestion and non-congestion data, 3D McMaster algorithm extend McMaster algorithm from 2D parameter space to 3D parameter space for analysis. The position of the lower boundary surface of uncongested data (LSUD) in 3D parameter space is obtained by statistical method, and then the surface is fitted by a Bayesian regularization back propagation neural network to improve the detection rate. The proposed algorithm is validated with the real data from Shuijie expressway in Chongqing. The experimental results show that 3D McMaster algorithm has higher detection rate and lower false alarm rate. |
20,076 | Please write an abstract with title: Coarse-grained and Emergent Distributed Parameter Systems from Data, and key words: Partial differential equations, Heuristic algorithms, Neural networks, Distributed databases, Tools, Particle measurements, Spatiotemporal phenomena. Abstract: We explore the derivation of distributed parameter system evolution laws (and in particular, partial differential operators and associated partial differential equations, PDEs) from spatiotemporal data. This is, of course, a classical identification problem; our focus here is on the use of manifold learning techniques (and, in particular, variations of Diffusion Maps) in conjunction with neural network learning algorithms that allow us to attempt this task when the dependent variables, and even the independent variables of the PDE are not known a priori and must be themselves derived from the data. The similarity measure used in Diffusion Maps for dependent coarse variable detection involves distances between local particle distribution observations; for independent variable detection we use distances between local short-time dynamics. We demonstrate each approach through an illustrative established PDE example. Such variable-free, emergent space identification algorithms connect naturally with equation-free multiscale computation tools. |
20,077 | Please write an abstract with title: GaNAs/GaAsSb type II active regions for 1.3-1.5 /spl mu/m operation, and key words: Optical materials, Absorption, Gallium arsenide, Optical scattering, Semiconductor materials, Plasma temperature, Molecular beam epitaxial growth, P-i-n diodes, Excitons, Solid state circuits. Abstract: We investigated a new active material consisting of GaNAs/GaAsSb type II quantum wells on GaAs for 1.3-1.5 /spl mu/m wavelength operation. Absorption spectra of two samples with different compositions were measured, showing good agreement with simulation. |
20,078 | Please write an abstract with title: An error control scheme based on adaptation of polling schedule for real-time communication on IEEE 802.11 wireless LANs, and key words: Error correction, Wireless LAN, Local area networks, Real time systems, Processor scheduling, Error correction codes, Tomography, Telecommunication traffic, Delay, Media Access Protocol. Abstract: The paper proposes an error control scheme that dynamically adjusts the polling schedule so that more corrupted messages can be manipulated within their deadlines for real-time communication on IEEE 802.11 wireless LAN. Monitoring the current traffic in the CFP (collision free period) interval as well as inspecting whether a node is executing an error control procedure, the AP (access point) terminates CFP, if possible, to extend the duration of the next CP (collision period). With the enlarged time, the AP gives more polls to the node in need to increase the number of timely recovered messages. Simulation result performed via SMPL shows that this adaptation scheme can reduce the message discard due to transmission error by 5.5%, compared with the existing error controls method for real-time communication on WLAN. |
20,079 | Please write an abstract with title: Joint Resource Allocation for Full-Duplex Ambient Backscatter Communication: A Difference Convex Algorithm, and key words: Backscatter, Throughput, Wireless communication, Resource management, Receivers, Radio frequency, Optimization. Abstract: Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless networks by leveraging Radio Frequency (RF) Energy Harvesting (EH) capability. A Full-duplex Ambient Backscatter Communication (FAmBC) network with a Full-duplex Access Point (AP), a dedicated Legacy User (LU), and several Backscatter Devices (BDs) is considered in this study. The AP with two antennas transfers downlink Orthogonal Frequency Division Multiplexing (OFDM) information and energy to the dedicated LU and several BDs, respectively, while receiving uplink backscattered information from BDs at the same time. One of the key aims in AmBC networks is to ensure fairness among BDs. To address this, we propose the Multi-objective Lexicographical Optimization Problem (MLOP), which aims to maximize the minimum BD’s throughput while enhancing overall BDs’ throughput, subject to the AP’s subcarrier power, BDs’ reflection coefficients, and backscatter time allocation. Owe to the MLOP is non-convex, we propose Difference Convex Algorithm (DCA) using Exterior Penalty Function Method (EPFM)—an inventive non-convex optimization method— to reach the optimal solution. The most critical advantage of applying this proposed approach is finding the globally optimal solution. The effectiveness of the proposed method supported by theoretical analysis confirms its superiority compared to some of the investigated suboptimal algorithms with the same computational complexity. |
20,080 | Please write an abstract with title: Load Balancing in Cloud Computing using Mutative BFO, and key words: Cloud computing, Microorganisms, Heuristic algorithms, Metaheuristics, Load management, Time factors, Servers. Abstract: On a per-user basis, cloud computing provides its end customers with increasingly scalable virtual resources over the Internet. Numerous users and businesses have already moved to the cloud for accessing the services that are offered by a variety of cloud service providers. To handle so many requests and clients, cloud providers must manage their servers. As a result, service providers must manage the load to guarantee that resources are being used effectively. The problem of load balancing is known to be NP-hard, and a number of researchers have suggested a variety of solutions using meta-heuristic algorithms. The paper provides a mutative bacterial Foraging optimization to reduce response time and improve resource utilization. In a heterogeneous cloud setup with dynamic workloads, the proposed algorithm performs better when compared to the other meta-heuristic algorithm. |
20,081 | Please write an abstract with title: Effect of changes in Skin Thickness on pain-relief Transcutaneous Electrical Nerve Stimulation (TENS), and key words: Electrodes, Pain, Dermis, Epidermis, Skin, Biology, Fascia. Abstract: Transcutaneous Electrical Nerve Stimulation (TENS) suppresses chronic pain by stimulating deep nerves near the fascia from electrodes on the skin's surface. TENS has different effects on patients of different ages due to the variation of the thickness of skin layers when one becomes older.In this paper, we aim to optimize the stimulation effectiveness of TENS for patients of different ages through investigation of TENS stimulations of three different skin types categorized by age, Young, Old, and Older. In this investigation, the skin layer (stratum corneum, epidermis layer, dermis layer) in each model was created, and the thickness was varied. The effect of sin wave stimulation at 1 Hz, 100 Hz, and 10 kHz on the nerve stimulation effect near the fascia was examined.It is found that besides the well-known effect of stratum corneum, the thickness of the dermis layer significantly affects the stimulating effect. In addition, by using a lumped circuit model, it is showed that the change in the current path causes a mitigation in the stimulation effect in the dermis layer. |
20,082 | Please write an abstract with title: A Review of ISAR Imaging Technology, and key words: Radar imaging, Imaging, Radar, Synthetic aperture radar, Image resolution, Azimuth, Doppler radar. Abstract: With the requirements of radar resolution improving, the aperture of traditional radar has become the bottleneck of its development. In order to overcome this problem, phased array radar and virtual aperture radar are proposed. Virtual Aperture Radar can be divided into Synthetic Aperture Radar (SAR) and Inverse Synthetic Aperture Radar (ISAR). The ISAR has the advantages of all-day, all-weather, long-distance, and high resolution, and is widely used in military and civil fields. This paper first briefly introduces the principle of ISAR imaging, the concepts of range resolution and azimuth resolution, then introduces the common methods of envelope alignment and self-focusing, and finally analyzes several ISAR imaging methods, such as large angle imaging algorithm, compressed sensing imaging algorithm, and micromotion target imaging algorithm. |
20,083 | Please write an abstract with title: Discussion, and key words: Microwave propagation, Fading channels, Antenna measurements, Planning, Phase measurement, Length measurement, Atmospheric measurements. Abstract: For some time ESCOM has been using radio links to satisfy the specific communications needs of the interconnected 400 kV system. |
20,084 | Please write an abstract with title: On variance neutrality of systems within general random parameters, and key words: Optimal control, Random variables, Linear systems, State estimation, Control systems, Statistics, Integrated circuit noise, Digital control, Sufficient conditions, Distribution functions. Abstract: A necessary condition for variance neutrality of discrete-time linear systems within general random parameters and with arbitrary observations is established. It is proved that this condition is sufficient as well if the observations are linear. This result is of importance in connection with separability, of optimal control and state estimation. |
20,085 | Please write an abstract with title: Dynamically Tunable Harmonic Generation Using Hybrid Metasurfaces Incorporating Phase-Change Chalcogenides, and key words: Optical microscopy, Phase modulation, Optical switches, Plasmons, Metasurfaces, Frequency conversion, Nanoscale devices. Abstract: We experimentally demonstrate a dynamic nonlinear metasurface incorporating the phase-change material GST that facilitates large modulation of second harmonic generation featuring gap-surface plasmon resonance and tunable second-order nonlinearity of GST. |
20,086 | Please write an abstract with title: Distributed Adaptive Leader-Following Consensus for Nonlinear Multiagent Systems With Actuator Failures Under Directed Switching Graphs, and key words: Actuators, Switches, Topology, Redundancy, Trajectory, Generators, Control systems. Abstract: This article studies the distributed adaptive failures compensation output-feedback consensus for a class of nonlinear multiagent systems (MASs) with multiactuator failures allowing unmatched redundancy under directed switching graphs. With estimated information of neighbors, a novel distributed reference generator is designed. To compensate the unmeasured state variables of each agent, a reduced-order dynamic gain filter is constructed. Based on the generator and filter, and using the recursive design method, a distributed adaptive protocol is designed, where the adaptive technique is used to compensate the actuator failures. The proposed scheme can significantly relax conditions on the communication graph, which allows the graph to be disconnected at any time instant. The number of introduced variables in the filter and its dimension is greatly reduced and, thus, reduces the numerical challenge. The output-feedback consensus for nonlinear MASs with actuator failures and possible unmatched actuator redundancy is addressed for the first time. The consensus error can converge to an arbitrarily small set not affected by actuator failures, and the resulting closed-loop system is semiglobally stable. Finally, simulation results are given to illustrate the effectiveness of the proposed method. |
20,087 | Please write an abstract with title: Self-Cure Network with Two-Stage Method for Facial Expression Recognition, and key words: Training, Mechatronics, Machine vision, Face recognition, Speech recognition, Gesture recognition, Task analysis. Abstract: It is very difficult to annotate large-scale facial expressions due to the inconsistent labels caused by the subjectivity of the annotators and the ambiguity of the facial expressions. Moreover, current studies present limitation when addressing facial expression different due to gender gap. Therefore, this artical proposes a self-cure network with two-stage method(SCN-TSM) which prevents deep networks from over-fitting ambiguous images. First, base on SCN-TSM, a two-stage training scheme is designed,taking full advantage of the gendered information. Furthermore, a self-attention mechanism to highlight the essential images,and to weight each sample with a weighting regularization. Finally,a relabeling module to modify the labels of these samples in inconsistent labels. A large number of experiments on public datasets validate the effectiveness of our method. |
20,088 | Please write an abstract with title: Variation-Tolerant and Low R-Ratio Compute-in-Memory ReRAM Macro With Capacitive Ternary MAC Operation, and key words: Voltage, Resistance, Computer architecture, Hardware design languages, Couplings, Throughput, Switches. Abstract: A novel Resistive random access memory (ReRAM)-based Compute-in-memory (CIM) macro is proposed to overcome the limited accuracy and throughput of a conventional ReRAM-based CIM macro that results from to the low R-Ratio and large variation of ReRAM. The proposed structure consists of 1T2R1C bit-cells and 4-kb ReRAM-based nvCIM architecture with ternary weight and ternary input. Ternary multiplication is implemented with voltage division between paired ReRAM devices within a bit-cell to make the output voltage variation tolerant and less sensitive to low R-ratios. An accumulation operation is realized with capacitive coupling so that linearity can be guaranteed for a large number of operands, allowing accurate and fast multiply-and-accumulate (MAC) operations. For comprehensive validation of the proposed CIM macro, the Verilog-A models for ReRAM devices with an adjustable R-ratio and adjustable variations are adopted to perform simulation on various R-ratio and variation conditions. With the peripheral circuits designed in 180-nm CMOS technology, the proposed CIM macro is confirmed to have high variation tolerance, high throughput, and less sensitivity to a low R-ratio, resulting in a high ternary DNN accuracy of 99.07% (0.01% drop) for the MNIST and 83.79% (0.38% drop) for the CIFAR-10 data sets with an R-ratio as low as 38 and 20%/40% low/high resistance variation. |
20,089 | Please write an abstract with title: Design and Modeling of CLLC Converter for Bidirectional On-Board Charger, and key words: Prototypes, Transportation, Transformers, Batteries, Inductors. Abstract: This paper designs a CLLC converter for the bidirectional on-board charger which has fully symmetrical parameters. Based on the three-stage charging strategy, the small-signal model of the converter is established and verified, and the closed-loop PFM control is realized. Finally, a planar transformer with integrated leakage inductor is designed and a 1. 2kW experimental prototype is built. |
20,090 | Please write an abstract with title: Semantic approach in the information systems, and key words: Information systems, Management information systems, Customer relationship management, Space technology, Resource management, Enterprise resource planning, Knowledge management, Humans, Collaboration, Information analysis. Abstract: The information systems gain more and more importance in the organizations and become critical issues of organizational adaptation. Many technical solutions are proposed to exchange the data and to integrate the different heterogeneous components. The next generation must be based on a semantic layer to manage knowledge rather than data and to allow the rational cognitive agents to achieve their goals. |
20,091 | Please write an abstract with title: Series DC Arc Fault Detection Using a Wavelet-Based Filter Bank with Statistical Analysis, and key words: Sigma-delta modulation, Statistical analysis, Fault detection, Filter banks, Switches, Harmonic analysis, Wavelet analysis. Abstract: A real-time algorithm is developed for the detection of series dc arc faults in solar photovoltaic installations. A wavelet-based filter bank is used to condition the sensed dc input current, which is sampled using an isolated sigma-delta ADC. The filter bank improves the robustness of the algorithm to false trips by attenuating the 120 Hz ripple and switching harmonics. In the algorithm, the variance of the filter bank output is calculated and compared to an upper threshold value to determine if a fault has occurred. The algorithm senses a fault when the upper threshold is exceeded, and the dc bus voltage falls below a predefined lower limit. The algorithm can detect a series arc fault in under two seconds and is found to be robust to false trips induced by power converter switching harmonics. The filter bank is implemented using 32-bit floating point values, and the detection algorithm is programmed on a microcontroller. |
20,092 | Please write an abstract with title: Polynomial eigenstructure assignment, application to missile autopilot, and key words: Polynomials, Missiles, Control systems, Open loop systems, Eigenvalues and eigenfunctions, Nonlinear systems, Transfer functions, Robustness, Interpolation, Nonlinear control systems. Abstract: This paper suggests another approach to eigenstructure assignment in a polynomial matrices framework. In particular, the design of eigenstructure assignment is performed without selecting initial eigenvalues. The eigenspaces of the system are handled in polynomial matrices format, where the closed-loop transfer function of the system is expressed as a coprime factorisation. The controller structure is left to the designer for more flexibility. Scalar and dynamic controllers are tackled alike. Like with classical eigenstructure assignment, the design objectives may include decoupling of modes, robustness and performance properties. This paper presents the technique in the framework of linear parameter-varying and multi-input multi-output systems. An example of LPV autopilot is designed for a model of a tactical missile. This tail-controlled missile in the cruciform fin configuration is modelled as a second-order quasi-linear parameter-varying system. Simulations show good tracking with fast responses over the full envelope |
20,093 | Please write an abstract with title: E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI, and key words: Data models, Artificial intelligence, Computational modeling, Performance evaluation, Cloud computing, Internet of Things, Servers. Abstract: Traditionally, Artificial Intelligence (AI) models are trained on the central cloud with data collected from end devices. This leads to high communication cost, long response time, and privacy concerns. Recently Edge-empowered AI, namely, Edge AI, has been proposed to support AI model learning and deployment at the network edge closer to the data sources. Existing research, including federated learning adopts a centralized architecture for model learning, where a central server aggregates the model updates from the clients/workers. The centralized architecture has drawbacks, such as performance bottleneck, poor scalability, and single point of failure. In this article, we propose a novel decentralized model learning approach, namely, E-Tree, which makes use of a well-designed tree structure imposed on the edge devices. The tree structure and the locations and orders of the aggregation on the tree are optimally designed to improve the training convergency and model accuracy. In particular, we design an efficient device clustering algorithm, named by K-Means and average accuracy, for E-Tree by taking into account the data distribution on the devices as well as the network distance. Evaluation results show that E-Tree significantly outperforms the benchmark approaches, such as federated learning and gossip learning under nonindependently and identically distributed (Non-i.i.d.) data in terms of model accuracy and convergency. |
20,094 | Please write an abstract with title: Compact high-power tunable three-level operation of double cladding Nd-doped fiber laser, and key words: Tunable circuits and devices, Fiber lasers, Pump lasers, Optical fibers, Laser transitions, Laser excitation, Power lasers, Laser tuning, Temperature, Mirrors. Abstract: We present a compact high-power continuous-wave tunable neodymium-doped double cladding fiber laser operating on three-level /sup 4/F/sub 3/2/-I/sub 9/2/ transition with a maximum output power up to 810 mW. At 926.7 nm, it has a maximum slope efficiency of 49.3% against absorbed 808-nm pump. By compressing the fiber Bragg grating, 15-nm tuning range is achieved. |
20,095 | Please write an abstract with title: New results on multivariable bounded rational functions, and key words: Polynomials, Scattering, Circuits and systems. Abstract: It is proved that the bounded rational property of multivariable functions remains invariant under simultaneous partial differentiation of numerator and denominator polynomials. The proof is simple, and all known related results follow as special cases. Other consequences are mentioned. |
20,096 | Please write an abstract with title: An Anti Interference Technology of UHF PD Detection in UHV GIS Based on Automatic Time Difference Analysis, and key words: Partial discharges, Substations, Stability criteria, Interference, Reliability theory, Power system stability, Power grids. Abstract: With the rapid development of ultra high voltage (UHV) power grid, the safety and stability of UHV gas insulated switchgear (GIS) is more and more important. The partial discharge (PD) detection technology is an effective way to find hidden PD trouble of UHV GIS equipment. However, there are many UHF detection instruments with different performance conditions, different on-site detection processes and discrimination standards, and the on-site detection environment of UHV substation is complex, which makes the interference signal in the detection process difficult to identify. In order to accurately locate the PD signal, the anti-interference problem must be solved first. This paper puts forward a principle of identifying interference signal method based on the anti-interference technology of automatic time difference analysis, which can effectively filter out external interference signal. The effectiveness of this method was also verified through laboratory research and field actual detection in this paper. |
20,097 | Please write an abstract with title: Improved quantum artificial bee colony algorithm-optimized artificial intelligence models for suspended sediment load predicting, and key words: Suspended sediment load, artificial intelligence, quantum computing, quantum bee colony algorithm, hybrid algorithm. Abstract: River sediment plays a critical role in maintaining the health of river ecosystems, and accurately predicting suspended sediment load (SSL) is vital for effective river management. This study proposes a quantum bee colony algorithm based on Boltzmann’s selection and dimensional dynamic update strategy (BDQABC). The BDQABC is utilized to optimize artificial intelligence (AI) models, specifically BDQABC-SVR and BDQABC-ANN. Both models are applied to predict SSL at the Caguas Municipio station in Loíza River, Puerto Rico. To evaluate the predictive capability, the models are compared with quantum bee colony algorithm-optimized AI models (QABC-SVR and QABC-ANN), genetic algorithm-optimized AI models (GA-SVR and GA-ANN) and traditional AI models (SVR and ANN). The models using various combinations of lagged river flow and SSL values as inputs. The performance of the models is assessed using metrics such as root mean square error (RMSE), mean absolute error, nash-Sutcliffe efficiency, coefficient of determination, and graphical comparison methods. The results indicate that the BDQABC-SVR and BDQABC-ANN models exhibit stronger predictive capabilities for SSL than other models. Specifically, BDQABC-SVR improves the RMSE accuracy of the QABC-SVR model by 5.6% and 22.0% respectively, while BDQABC-ANN improves the RMSE accuracy of the QABC-ANN model by 13.3% and 9.7%, respectively for the two input scenarios. |
20,098 | Please write an abstract with title: Exploratory Analysis of Public Transportation Data of Curitiba, Brazil, and key words: Data analysis, Smart cities, Quality of service, Real-time systems, Mobile applications, Internet, Data mining. Abstract: The dynamics between technologies and everyday life is increasingly volatile, pushing for greater convenience and ease of both trivial and complex processes. A consequence of the wide implementation of Internet of Things-based devices in smart city applications clearly reflects the mentioned dynamics by the huge amount of data to be handled. To extract useful information from such data, a clever approach to conduct data analysis is the interdisciplinary one, i.e., engineering and computer scientists as close partners of the problem domain experts. This paper addresses IoT data of a Public transportation System (PTS) aiming at contributing to the data analysis process for new insights about bus based PTS applications. Open Data of Curitiba PTS was explored looking for approaches to handle and analyze this kind of data, aiming to find important information for users, managers and planners of the public transport network in Curitiba. |
20,099 | Please write an abstract with title: Axial Displaced Ellipse Reflector Antenna with Adjustable Beamwidth for E-band Wireless Link, and key words: Wireless communication, Reflector antennas, Feeds. Abstract: This paper presents the design of an E-band high-gain Axial Displaced Ellipse (ADE) reflector antenna. The compact antenna has the ability to adjust the beamwidth. Simulated results show that by moving the sub reflector away from the feed, half-power beamwidth (HPBW) can be expanded at least 5 times from 71GHz to 86GHz. When the beamwidth is the narrowest, on-axis directivity of 46.1±0.8dBi between 71-86GHz is obtained. |
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