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Please write an abstract with title: Developing Computational Science Curricula: The EarthVision Experience, and key words: Educational institutions, Educational programs, Educational technology, High performance computing, Visualization, Humans, Education, Mathematics, Mathematical model, Computational modeling. Abstract: Technology is used to empower students to go beyond traditional limitations. EarthVision provides the opportunity to participate in an authentic research environment enables the students to develop a sense of self worth and esteem established in the context of a phased curriculum, bringing together experts in a variety of disciplines. New techniques such as modeling and scientific visualization are employed to expand the types of phenomena which are possible to examine at a high school level. The use of concept strands going from simple elements to complicated representations helps to move the teacher/student teams from a highly structured learning environment to one that is highly independent. The scientific method, which employs validation throughout the computational science process, brings rigor and integrity which stimulates skill development needed for the development of autonomy. The result is significant cognitive development coupled with a positive affective orientation.
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2,701
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Please write an abstract with title: Trend Extraction and Visualization of Motor Vehicle Occupant Fatality Rates, and key words: Visualization, Data visualization, Switches, Market research, Data models, HTML, Safety. Abstract: Motor-vehicle crashes contribute to a significant number of fatalities and injuries in the United States. To effectively extract the accident trend and decrease the death rate, government experts need to analyze the data of vehicle crashes to find out the major causes and come out with a comprehensive decision to reduce traffic crashes. Interactive data visualization is an important technique that allows people to get dynamic visual feedback and extract hidden information. In this project, we developed a dynamic data visualization system that employs JavaScript and Data-Driven Documents (D3) to model the number of motor vehicle occupant fatalities in the United States in 2012 and 2014. Using this model, trends and patterns are extracted from the data with multiple variables considered, including age, sex, and impaired driving. The designed model is created with a HyperText Markup Language (HTML) structure and uses Cascading Style Sheets (CSS) for styling, which is able to switch between these variables and display various data information without reloading the visualization in the web browser. The developed platform can be used as a valuable tool to support the development and assessment of highway safety programs that tend to prevent road traffic accidents.
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2,702
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Please write an abstract with title: Simulation Model for a Rogowski Cord Measurement System, and key words: Magnetic flux, Integrated circuit modeling, Current measurement, Resistance, Numerical models, Inductance, Magnetic circuits. Abstract: Rogowski coil measuring systems are linear systems due to the absence of magnetic cores. They work on the principle of electromagnetic induction. These systems generally include two galvanically separated circuits: a primary circuit, for which it is desired to determine some quantities (e.g. conduction currents) or parameters, and a secondary circuit, supplied through the magnetic field, where the Rogowski coil is a part. In this paper the secondary circuit is closed through the internal resistance of a ballistic galvanometer. We started from a real system, for which some of the parameters are known, and the aim was to create and validate an equivalent electrical scheme of the entire system. Firstly, the self and mutual (unknown) inductances were determined by numerical modeling. Then the electrical diagram of the system was realized; the input quantity was the current through the primary circuit (having a step variation), and the output quantity was the maximum indication (deviation) of the galvanometer. The results of the simulations were compared with the experimental results, obtaining a very good correspondence of them.
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2,703
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Please write an abstract with title: Filtering in time-varying W-CDMA networks, and key words: Multiaccess communication, Quality of service, Delay, Streaming media, Adaptive filters, Filtering algorithms, Wideband, Radio link, Throughput, Radio network. Abstract: This paper presents an adaptive filtering algorithm for the delivery of multimedia content with different quality of service (QoS) requirements, over wideband code-division multiple access (W-CDMA) networks. We assume that the service provider offers two distinct grades of service (GoS) to which users may subscribe: premium, or economy. Subscribers to the premium service receive higher quality levels measured by a set of parameters such as coding rate and format. The proposed algorithm guarantees that all users receive their contractual level of quality while maximizing the radio links' throughput, and maintaining the QoS requirements (e.g., target B.E.R, maximum transfer delay, and percentage of packets lost or delayed) for each media stream (e.g., voice, video, and data) downloaded to the users. Multimedia adaptation filters are installed at the output ports of the radio network controller. Simulation results show significant improvement in terms of increasing the number of admitted users while reducing the percentage of packets lost or delayed.
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2,704
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Please write an abstract with title: Practical design rules for optimum FIR bandpass digital filters, and key words: Finite impulse response filter, Digital filters, Band pass filters, Low pass filters, Passband, Bandwidth, Frequency, Narrowband, Acoustics, Speech processing. Abstract: The computer program of [1] for the design of optimal FIR filters requires, as an input, the order of the filter to be designed. A reliable order estimate for the case of low-pass filters is known [2]. In this paper, we present a simple estimate of the order of optimum FIR bandpass filters. The accuracy of the estimate is demonstrated.
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2,705
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Please write an abstract with title: Predicting ARP spoofing with Machine Learning, and key words: Deep learning, Wireless communication, Wireless sensor networks, Market research, Data models, Decision trees, Communication system security. Abstract: Securing a network from potential attacks has become a great challenge after the advent of sensor networks that consists of different sensors connected by wireless settings, to sense and share the collected data. Such networks can be compromised by different attacks including and not limited to Denial of Services (DOS), Distributed DOS, and Man-in-the-Middle types of attacks. Detecting these attacks early is a challenging task. Like many other fields, Machine Learning and Deep Learning can be utilized here to predict the attack early. This research uses Long Short-Term Memory (LSTM) networks and decision tree classifiers to predict ARP Spoofing. The performance of the models is evaluated on a comprehensive dataset that contains data on different sorts of attacks. Results of different experiments showed that both can predict the intrusion quite well. The accuracy achieved by LSTM and decision tree was 99% and 100% respectively which is better than other state-of-art solutions. The decision tree beats the complicated LSTM network on execution speed.
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2,706
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Please write an abstract with title: Efficient Hardware Search Engine for Associative Content Retrieval of Long Queries in Huge Multimedia Databases, and key words: Hardware, Search engines, Information retrieval, Content based retrieval, Multimedia databases, Multimedia systems, Computer architecture, Central Processing Unit, Personal communication networks, Microcomputers. Abstract: Due to the enormous increase in the stored digital contents, search and retrieval functionalities are necessary in multimedia systems. Though processor speed for standard PCs (Personal Computers) is experiencing an almost exponential growth, the memory subsystem handicapped by lower frequencies and a physical I/O (Input/Output) limitation reflects the bottleneck of common computer architectures. As a result, many applications such as database management systems remain so dependent on memory throughput that increases in CPU (Central Processing Unit) speeds are no longer helpful. Because average bandwidth is crucial for system performance, our research has focused especially on techniques for efficient storage and retrieval of multimedia data. This paper presents the realization of a hardware database search engine based on an associative access method for textual information retrieval. It reveals the internal architecture of the system and compares the results of our hardware prototype with the software solution
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2,707
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Please write an abstract with title: A frequency synthesizer for UWB transceiver in 0.13/spl mu/m CMOS technology, and key words: CMOS technology, Frequency synthesizers, Transceivers, Voltage-controlled oscillators, OFDM, Mixers, Time measurement, Phase noise, Energy consumption, Voltage. Abstract: A 3 to 5GHz fast hopping frequency synthesizer for multi-band OFDM UWB applications is designed using 0.13/spl mu/m CMOS technology. The frequency synthesizer operates in the "Mode 1" bands (centered at 3432MHz 3960MHz, and 4488MHz). Single-sideband mixer up converts or down-converts the 528MHz quadrature signals of ring VCO mixing 3960MHz LC VCO signals. The sideband suppression is less than -40dBc for 3432MHs and -32dBc for 4488MHz and band switching time from 4488MHz to 3432MHz is measured about 1.5ns. Phase noise of the LC VCO and the ring VCO is about -115dBc/Hz and 93dBc/Hz at 1MHz offset frequency, respectively. The total power consumption of the proposed frequency synthesizer is about 62mW with a 1.5V supply voltage.
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2,708
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Please write an abstract with title: Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection, and key words: Visualization, Intelligent vehicles, Fuses, Roads, Pipelines, Object detection, Thermal sensors. Abstract: The RGB complementary metal-oxide-semiconductor (CMOS) sensor works within the visible light spectrum. Therefore it is very sensitive to environmental light conditions. On the contrary, a long-wave infrared (LWIR) sensor operating in 8-14 μm spectral band, functions independent of visible light.In this paper, we exploit both visual and thermal perception units for robust object detection purposes. After delicate synchronization and (cross-) labeling of the FLIR [1] dataset, this multi-modal perception data passes through a convolutional neural network (CNN) to detect three critical objects on the road, namely pedestrians, bicycles, and cars. After evaluation of RGB and infrared (thermal and infrared are often used interchangeably) sensors separately, various network structures are compared to fuse the data at the feature level effectively. Our RGB-thermal (RGBT) fusion network, which takes advantage of a novel entropy-block attention module (EBAM), outperforms the state-of-the-art network [2] by 10% with 82.9% mAP.
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2,709
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Please write an abstract with title: Development of Painting Quality Monitoring System for Assessment of Fine Motor Skills, and key words: Measurement, Computer vision, Conferences, Morphology, Writing, Real-time systems, Monitoring. Abstract: The purpose of this study is to contribute to the design of learning support system for painting using computer vision technology. Specifically, we focused on monitoring the painting states in real-time and supports to evaluate the quality. This system targets any coloring material on real-paper in order to introduce it, and it provides metrics of the learner’s painting quality by camera-monitoring and mathematical morphology.
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2,710
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Please write an abstract with title: Analysis of Transformer Audible Noise Based on Redundant Convolutional Encoder Decoder, and key words: Convolution, Noise reduction, Interference, Frequency conversion, Feature extraction, Acoustics, Decoding. Abstract: During the field acquisition of transformer acoustic signals, it is easy to be interfered by the outside world. The collected acoustic signals are often mixed with many noise interferences from non-transformer bodies, especially when the acoustic signals are interfered by various noises or even submerged in extremely harsh environments. The measuring instrument cannot effectively carry out preprocessing, which will cause interference to the transformer acoustic signal online monitoring system, and may lead to the misjudgment of the transformer operating state. In this paper, a method named Redundant Convolutional Encoder Decoder (R -CED) is proposed to de-noising transformer-containing noise signals. Short time Fourier transform (STFT) is used to extract the features of clean sound signals and noisy signals. The transformer acoustic signal denoising model based on R -CED is constructed by reasonably selecting the number of convolutional network layers and the size of the convolutional kernel. Finally, the denoising model is used to denoise the acoustic signal of a 72.5 kV converter transformer, the results show that the model has a good denoising effect, and the method has reference significance for the transformer operating state monitoring based on acoustic signals.
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2,711
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Please write an abstract with title: Weighted Dynamic Aggregation Modeling of Induction Machine-Based Wind Farms, and key words: Wind farms, Wind turbines, Power system modeling, Doubly fed induction generators, Computational modeling, Induction machines. Abstract: This paper presents Weighted Dynamic aggregation (WD agg) method to obtain an equivalent Wind Turbine Generator (WTG) for an induction machine-based wind farm using its dynamic model. The suggested approach obtains the equivalent d-q model of the induction generators considering the contribution of each unit in the model. The challenges in the aggregation of a large-scale wind farm are the variation of wind speeds at different zones and differences in the WTGs parameters. Compared with the existing methods such as Full aggregation (Full agg), Zone aggregation (Zone agg), and Semi aggregation (Semi agg), the suggested WD agg method provides an accurate single unit equivalent model for a large-scale wind farm while taking into account various wind speed zones and unequal WTG parameters. The proposed method is evaluated through time-domain simulation of a 4-WTG and a large-scale 20-WTG Doubly-Fed Induction Generator (DFIG) wind farms and their aggregated models. These simulations cover combinations of different wind speeds and WTGs parameters. Also, a 4-WTGs fixed-speed wind farm is studied to show the generality of the proposed method. Comparing WD model with the detailed response of the wind farm verifies the accuracy of the method in both steady-state and transient behaviors.
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2,712
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Please write an abstract with title: Period three generation on microwave-induced constant-voltage steps of Josephson tunnel junctions, and key words: Microwave generation, Plasma measurements, Voltage, Plasma temperature, Computer simulation, Equations, Critical current, Frequency conversion, Current measurement, Frequency measurement. Abstract: We report the observation of one-third harmonic generation in small Josephson tunnel junctions driven with a microwave signal in the frequency range 8 to 18 GHz. This phenomenon was observed both with the junction biased in the zero voltage state and on microwave-induced constant-voltage steps in the current-voltage characteristic. With high levels of applied microwave power the period-tripled signal was detected on steps up to order 120.
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2,713
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Please write an abstract with title: Optimal Coordination of OCR with TCC Selection for Radial Industrial System Using Firefly Algorithm, and key words: Relays, Optical character recognition software, Optimization, IEC Standards, Linear programming, Electrical engineering, Fault currents. Abstract: Overcurrent relay (OCR) is the primary protection in the distribution system. The advantages of OCR in the protection system is the ability to work coordinately in time, current, time-current grading. To attain the coordination setting of OCR, it requires a proper minimum operating time (TOP) and satisfied coordination time interval (CTI). However, attaining the coordination of OCR is quite challenging when distributed generations (DGs) are presented in the power system. The presence of DGs gives additional fault current contribution to the fault location. In this paper, Firefly Algorithm (FA) is proposed to solve the coordination of OCR. The FA will be used to obtain the time dial setting (TDS) with an objective to minimize the TOP and constraint of satisfying CTI for all possible network topologies and DGs operation. The proposed method is tested in a radial distribution system with active DGs of a real industrial petrochemical plant. The result of FA optimization is compared in different curve characteristics according to the IEC Standard 60255.
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2,714
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Please write an abstract with title: Optimal Control of Internal Road Boundary for Lane-free Automated Vehicle Traffic, and key words: Roads, Simulation, Optimal control, Bidirectional control, Traffic control, Tools, Dynamic programming. Abstract: This paper presents a novel traffic control action referring to virtual moving of the internal boundary of bi-directional highways for lane-free traffic of automated vehicles. Since capacity of lane-free traffic is roughly proportional to the road width, the total cross-road capacity may be shared flexibly (in space and time) between the two opposite directions according to the current bi-directional demand. In order to determine the control input, which is the road width or capacity sharing factor, an appropriate QP (Quadratic Programming) problem formulation employing the macroscopic CTM (Cell Transmission Model) is developed. Simulation results with and without control are analyzed and compared to demonstrate the potential of the proposed scheme in exploiting the available road infrastructure at unprecedented levels.
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2,715
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Please write an abstract with title: Unified design and control for biological applications of carbon nanotube-tipped microcantilever, and key words: Biological control systems, Carbon nanotubes, Nanobioscience, Atomic force microscopy, Biological system modeling, Open loop systems, Probes, Distributed parameter systems, DNA, Chemical analysis. Abstract: This paper discusses the control of microcantilever with multi-walled carbon nanotube tip. To facilitate the use of CNTs as nanomanipulator and probe tip, open-loop and closed-loop performances are studied based on a distributed parameter system model. The carbon nanotube tipped microcantilevers of three different dimensions are compared to investigate the effect of the dimension to manipulation and imaging capability. Simulations show that with carefully selected dimensions the carbon nanotube-tipped microcantilever can demonstrate an excellent capability for nanomanipulation and tapping mode operation for imaging under a simple PID controller.
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2,716
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Please write an abstract with title: Optimizing Dosing Regimens of Tacrolimus in Lung Transplant Recipients, and key words: Drugs, Lung, Ordinary differential equations, Predictive models, Solids, Mathematical models, Organ transplantation. Abstract: Tacrolimus, an immunosuppressant, is widely used to prevent rejection after transplantation. It has highly variable pharmacokinetics and a narrow therapeutic window. Therefore, there is a recognized need for Tacrolimus-personalized therapy. In solid organ transplantation, few lung transplants result in a lack of Tacrolimus data. To date, there has been little reliable reference to the elimination half-life of Tacrolimus in lung transplant recipients. In this paper, we construct a model based on an ordinary differential equation and a one-compartment model. It is scary to test the blood concentration of each patient in clinical trials. We present a piecewise nonlinear regression on the data of different patients to obtain the parameters of the ordinary differential equation. This study provides an approach to estimate the elimination half-life and therapeutic dose.
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2,717
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Please write an abstract with title: Making Buildings Smarter and Energy-Efficient—Using the Internet of Things Platform, and key words: Smart buildings, Smart grids, Energy efficiency, Energy consumption, Internet of Things, Home appliances, Intelligent sensors, Smart cities. Abstract: Smart grid, as a concept tries to revolutionize the conventional grid structure by incorporating Information Technology components and making the communication bidirectional. However, there is a greater thrust to make the distribution and utility side of the grid smarter owing to a greater number of end-users and increase in energy consumption. It needs to be prioritized as the global energy consumption levels are increasing by the day. The United Nations Sustainable Development Goals (Goal 7) to ensure energy security and sustainable energy development also need to be met. This article discusses the salient points and characteristics of energy-efficient buildings, which have been occupying significant research space over the last decade owing to advances in Information Technology and Smart grid technology. This article would also help to broaden the research scope by amalgamating several domains such as energy, construction technology, and information technology into one.
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2,718
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Please write an abstract with title: A Reinforcement Learning-Based Data-Driven Voltage Regulator for Wireless Chargers of Electric Vehicles, and key words: Voltage control, Regulators, Buck converters, Regulation, Batteries, Couplings, Receivers. Abstract: As a critical component in the concept of smart cities, autonomous vehicles are under extensive investigation. The need for intelligent fueling without human assistance stimulates the development of wireless charging. There are, however, several issues to be addressed to enhance the efficiency and reliability of charging. The vehicle battery exhibits varying resistance during the charging process. Additionally, the alignment and gap may change with external positioning, which affects the coupling coefficient of the transmitter and receiver coils. Thus, a data-driven control scheme is desired to tackle these environmental uncertainties. This paper adopts the control scheme of embedding a Buck converter at the receiver side. Different from state-of-the-art literature, a reinforcement learning-based data-driven control approach is employed to regulate the charging voltage. Stable charging voltage is attained regardless of the knowledge of the coupling coefficient, load variations, or component values. System simulations in Simulink have proved the effectiveness of the proposed control method.
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2,719
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Please write an abstract with title: Kernel-Induced Possibilistic Fuzzy Associate Background Subtraction for Video Scene, and key words: Adaptation models, Training, Surveillance, Image color analysis, Kernel, Noise measurement, Cost function. Abstract: The background subtraction (BGS) technique is popularly used for many surveillance systems, segmenting the foreground by subtracting the modeled background from the image sequences. The effectiveness of any BGS technique depends on the robustness of the constructed background model. It is to be noted that many BGS schemes are affected by the inclusion of either noisy pixels in background construction or parameters of generative models. In this regard, we propound an idea of a kernel-induced possibilistic fuzzy associated BGS scheme for local change detection from a fixed camera captured sequence. The proposed scheme follows two stages: background training and foreground segmentation. In the background construction stage, each pixel is modeled using a possibilistic fuzzy cost function in kernel-induced space. The use of the induced kernel function will project the low-dimensional data into a higher dimensional space and the use of the possibilistic function will construct a robust background model based on the density of the data in the temporal domain avoiding the noisy and outlier points. The performance of the proposed scheme is tested on three benchmark databases. The effectiveness of the proposed scheme is evaluated on different performance evaluation measures: precision, recall, F-measure, and average similarity. We corroborate our findings by comparing them against 19 state-of-the-art existing BGS techniques.
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2,720
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Please write an abstract with title: A PID-type fuzzy controller and its parameters tuning method, and key words: Fuzzy control, Three-term control, Performance gain, Mathematics. Abstract: A kind of simple and practical fuzzy PID controller was constructed, and its mathematics expression was given. This fuzzy controller was composed of a linear item and a nonlinear modified item, the nonlinear item depended on all parameters of the fuzzy controller and modified ideally and dynamically the linear item. Based on the gain margin and phase margin principle, a pair of gain margin and phase margin was given as the closed-loop performance specification, the tuning formulas of the fuzzy controller were proposed and its parameters tuning problem was resolved. Finally, the simulation results prove that the fuzzy controller and its tuning method are feasible.
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2,721
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Please write an abstract with title: Disc file optimization, and key words: Crosstalk, Magnetic noise, Magnetic heads, Circuit noise, Noise level, Gaussian noise, Magnetic recording, Error analysis, Signal to noise ratio, Amplitude estimation. Abstract: The amplitude distributions of mixtures of Gaussian and crosstalk noise, as found in a disc or tape magnetic recording drive (file), have been calculated. Methods are described for modelling the readback process to estimate its susceptibility to noise, and thus to find error rates. These techniques are used for optimizing certain aspects of the file design, and provide an approximate value for the highest achievable areal packing density at any given state of the technology.
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2,722
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Please write an abstract with title: An efficient three-step search algorithm for block motion estimation, and key words: Motion estimation, Video coding, Video sequences, Computational complexity, MPEG 4 Standard, Application software, Electron traps, Mean square error methods, Distortion measurement. Abstract: The three-step search algorithm has been widely used in block matching motion estimation due to its simplicity and effectiveness. The sparsely distributed checking points pattern in the first step is very suitable for searching large motion. However, for stationary or quasistationary blocks it will easily lead the search to be trapped into a local minimum. In this paper we propose a modification on the three-step search algorithm which employs a small diamond pattern in the first step, and the unrestricted search step is used to search the center area. Experimental results show that the new efficient three-step search performs better than new three-step search in terms of MSE and requires less computation by up to 15% on average.
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2,723
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Please write an abstract with title: An efficient algorithm for reconfiguring shared spare RRAM, and key words: Heuristic algorithms, Random access memory, NP-complete problem, Computer science, Fabrication, Read-write memory, Throughput, Binary decision diagrams, Data structures, Boolean functions. Abstract: Redundant rows and columns have been used for years to improve the yield of DRAM fabrication. However, finding a memory repair solution has been proved to be an NP-complete problem. This paper presents an efficient algorithm, which is able to find a repair solution for shared spare memory arrays if a solution exists. The remarkable performance of the algorithm can be demonstrated by experimental results.
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2,724
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Please write an abstract with title: Recommendation Model Based on Deep Separated Graph Neural Network, and key words: Analytical models, Cloud computing, Computational modeling, Conferences, Big Data, Data models, Graph neural networks. Abstract: The recommendation system [1] can quickly find the information that users are interested in from the complex information and recommend it to the user, and it has been widely used in web-based services. However, the current mainstream recommendation models all have data sparseness [2] and imbalance problems. To address these problems, we propose a deep separation graph neural network recommendation model (DSGNR) based on the idea of graph information aggregation. In the experiment, we used the classic recommendation system data set to verify and analyze the proposed DSGNR model and compared it with the seven mainstream recommendation models. Experimental results show that the proposed algorithm is generally better than the current mainstream recommendation methods in terms of accuracy and efficiency.
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2,725
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Please write an abstract with title: Effects of spike sorting error on information content in multi-neuron recordings, and key words: Sorting, Neurons, Decoding, Brain computer interfaces, Computer interfaces, Information theory, Mutual information, Data mining, Biomedical engineering, Biomedical computing. Abstract: In brain-machine interface (BMI) applications, multi-channel recordings are spike sorted before the single-unit spike trains are used in computational analysis to decode the neural response. Nevertheless, questions about the necessity and effectiveness of spike sorting remain. To address one of those questions regarding how sorting error affects the ability to use these neural recordings for BMI's, Shannon information theory was applied to spike trains simulated with random sorting error. Mutual information rate was found to decrease exponentially with spike sorting error, regardless of type, i.e. whether false negative or false positive. Less than 10% error could be tolerated before the information content dropped to half its maximum value with no error. Implications for BMI applications are discussed.
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2,726
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Please write an abstract with title: Product approximation by minimizing the upper bound of Bayes error rate for Bayesian combination of classifiers, and key words: Upper bound, Error analysis, Bayesian methods, Probability distribution, Mutual information, Entropy, Distributed computing, Handwriting recognition, US Department of Defense, Contracts. Abstract: In combining multiple classifiers using a Bayesian formalism, a high dimensional probability distribution is composed of a class and decisions of classifiers. In order to do product approximation of the probability distribution, the upper bound of Bayes error rate, bounded by the conditional entropy of a class and decisions, should be minimized. A second-order dependency-based product approximation is proposed in this paper by considering the second-order dependency between the class and decisions. The proposed method is evaluated by combining the classifiers recognizing unconstrained handwritten numerals.
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2,727
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Please write an abstract with title: Designing of Autonomous Tracking Device for Fitness Observing of Patients, and key words: Technological innovation, Wireless sensor networks, Regulators, Power supplies, Thumb, Switches, Market research. Abstract: Human monitoring frameworks are some of the most important advancements due to their trend-setting innovation, but continuous patient checking throughout an emergency situation or in any uneven situations is beyond the horizon of conception. To impleemtn some recent advancement sin this field, this paper is intended to gauge heart (beat check) and temperature of the patient by utilizing an inserted innovation. Additionally, the proposed task can also screen the person illness. The aforementioned model is implementable and accessible on a reasonable expense. This undertaking depicts the structure of a straightforward and minimal effort regulator based remote person monitoring framework. Here, the pulse of the person is estimated from the thumb by utilizing IRD. An alarm adjustment is likewise interfaced to the regulator in order to impart a sign by the person on the off chance that anything isn't right or the consequences will be severe in the event that the patient needs some consideration and at that point they can touch the switch. By connecting a GSM unit to the regulator, the frenzy button is directed to an inaccessible location according to pulse values and hotness values. A GPS unit is additionally connected to obtain the area estimation of the person. The fundamental motivation behind the undertaking is to effort the deprived of power supply and this task utilizes powered battery.
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2,728
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Please write an abstract with title: An advanced ambiguity selection algorithm for SeaWinds, and key words: Spaceborne radar, Radar measurements, Oceans, Radar scattering, Backscatter, Weather forecasting, Wind forecasting, Tropical cyclones, Measurement techniques, Clouds. Abstract: SeaWinds on QuikSCAT, a spaceborne Ku-band scatterometer, estimates ocean winds via the relationship between the normalized radar backscatter and the vector wind. Scatterometer wind retrieval generates several possible wind vector solutions or ambiguities at each resolution cell, requiring a separate ambiguity selection step to give a unique solution. In processing SeaWinds on QuikSCAT data, the ambiguity selection is "nudged" or initialized using numerical weather prediction winds. We describe a sophisticated new ambiguity selection approach developed at Brigham Young University (BYU) that does not require nudging. The BYU method utilizes a low-order data-driven Karhunen-Loeve wind field model to promote self-consistency. Ambiguity selected winds from the BYU method and standard SeaWinds processing are compared over a set of 102 revs. A manual examination of the data suggests that the nonnudging BYU method selects a more self-consistent wind field in the absence of cyclonic storms. Over a set of cyclonic storm regions, BYU performs better in 9% of the cases and worse in 20% of the cases. Overall, the BYU algorithm selects 93% of the same ambiguities as the standard dataset. This comparison helps validate both nonnudging and nudging techniques and indicates that SeaWinds ambiguity selection can be generally accomplished without nudging.
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2,729
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Please write an abstract with title: Distributed Constrained Online Optimization with Noisy Communication, and key words: Information science, Heuristic algorithms, Estimation, Noise measurement, Mirrors, Optimization. Abstract: This paper addresses distributed online optimization problems with time-varying coupled constraints via a group of cooperative agents. The communication among agents suffers from disturbance of noise. By employing primal-dual mirror descent method, we propose a distributed online algorithm with noisy communication for solving such problems. By using the bound of noise, we obtain estimations on both dynamic regret and constraint violation, which depict the effect of communication noise. Then, by choosing certain diminishing step sizes, we theoretically prove that the dynamic regret and constraint violation grow sublinearly, provided that the optimal decision sequence varies slowly and the noise is attenuated. Finally, theoretical results is substantiated by a numerical example.
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2,730
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Please write an abstract with title: A neural-network packet switch controller: scalability, performance, and network optimization, and key words: Packet switching, Scalability, Optical packet switching, Optical switches, Optical control, Optical computing, Optical interconnections, Optical fiber networks, Neural networks, Throughput. Abstract: We examine a novel combination of architecture and algorithm for a packet switch controller that incorporates an experimentally implemented optically interconnected neural network. The network performs scheduling decisions based on incoming packet requests and priorities. We show how and why, by means of simulation, the move from a continuous to a discrete algorithm has improved both network performance and scalability. The system's limitations are examined and conclusions drawn as to its maximum scalability and throughput based on today's technologies.
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2,731
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Please write an abstract with title: Silica two-dimensional integrated optics for WDM datacommunication applications, and key words: Silicon compounds, Integrated optics, Wavelength division multiplexing, Optical device fabrication, Space technology, Optical materials, Arrayed waveguide gratings, Optical waveguides, Optical design, Channel spacing. Abstract: Future data communications systems will require small, low cost demultiplexer components. The history, design, fabrication and testing of silica two-dimensional integrated optics demultiplexers for this task are explored.
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2,732
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Please write an abstract with title: Overview of experimental device implementation in CRL UWB R&D consortium, and key words: Research and development, CMOS technology, OFDM, MMICs, Radio frequency, Baseband, Binary phase shift keying, Hardware, Signal generators, Application software. Abstract: The implementation working group of the Communications Research Laboratory UWB research and development consortium is developing experimental UWB devices. They fabricated MMICs using 0.18 /spl mu/m CMOS technology, including either the RF part of the multiband OFDM method or the impulse radio method. The baseband parts were realized using custom BPSK hardware, or by combining an arbitrary waveform generator and software-synthesized OFDM waveform data. For application purposes, we demonstrate a digital video transmission system.
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2,733
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Please write an abstract with title: A Review on MVdc Collection Systems for High-Power Offshore Wind Farms, and key words: Medium voltage dc (MVdc), offshore wind, wind power collection systems, dc wind turbine (dcWT), research challenges. Abstract: Recently, offshore renewable technologies have shown a rapid growth with the advancement in technology together with reduction of capital investment per unit size. This movement is further catalyzed by various government policy decisions and new set targets on renewable energy (RE) production. Due to higher wind speed, limited land availability and flexibility of transporting very large structures (with the increased size of a single wind turbine) offshore wind power plants provide commendable benefits over onshore wind plants. At present, only medium voltage ac is used in the offshore wind collection systems. However, the use of medium voltage direct current (MVdc) at the collection level is becoming more attractive due to advantages like lower systems losses, zero reactive power compensation and flexibility of power flow control compared to traditional ac collection systems. This paper intends to review opportunities and key challenges associated with the emerging MVdc technology for offshore wind collection systems. Attention is given to the DC wind turbine concept and selecting a suitable MVdc collection system topology with appropriate control modes.
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2,734
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Please write an abstract with title: Analysis of HTS bulk during pulsed field magnetization with experimental and numerical methods, and key words: Magnetic analysis, High temperature superconductors, Magnetization, Superconducting magnets, Magnetic shielding, Conductivity, Magnetic flux, Maxwell equations, Current density, Numerical simulation. Abstract: We have studied the pulsed field magnetization, which is considered to be one of the most promising methods for the magnetization of the HTS bulk. The magnetization process is simulated by using the flux flow-creep model and power law model, respectively. The experiment is also carried out to test the validity of the simulation. It seems that the flux flow-creep model is better than power law model in describing the pulsed field magnetization.
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2,735
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Please write an abstract with title: Detector identification through light separation for miniature imaging probe, and key words: Probes, Optical fibers, Coronary arteriosclerosis, Position sensitive particle detectors, Optical imaging, Labeling, Radioactive materials, Angiography, Photomultipliers, Arteries. Abstract: Coronary artery disease (CAD) is the leading cause of death in most developed countries. A large portion of CAD is caused by rupture of unstable plaque, which is not detected by current diagnostic methods. By labeling the unstable plaque with beta emitting radioisotopes, it is possible to detect the plaques with a very narrow in situ detector system that is placed with a coronary angiography guidewire. Our current detection system uses fiber optics, with a single detector at the tip of each fiber, connected to a position sensitive photomultiplier tube (PSPMT). The small diameter of the coronary artery limits our current system to six optical fibers. To increase the number of pixels, we are studying a multi-detector concept for each fiber. By having multiple scintillating fibers coupled in series, with each scintillating fiber emitting a unique wavelength spectrum, the number of pixels can be doubled or tripled. The light is separated before reaching the PSPMT with a single diffraction grating. The PSPMT separates the detectors in one direction by fiber, and in the other direction by the spectral splitting of the different wavelengths of the scintillators.
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2,736
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Please write an abstract with title: Exploiting Channel Sparsity for Beam Alignment in mmWave Systems via Exponential Learning, and key words: Receivers, Transmitters, Antenna arrays, Interference, Signal to noise ratio, Array signal processing, Power system reliability. Abstract: The large available spectrum in the millimeter wave (mmWave) band represents an attractive alternative for the congested sub-6 GHz spectrum. To overcome the difficult propagation conditions at high frequencies, directional communications via multiple antenna arrays and high-gain beams can be employed. Nevertheless, these beams need to be well aligned to reliably transmit data, which is a challenging task given the user mobility and the unpredictable changes of the wireless environment. In this paper, we propose a new distributed beam-alignment strategy relying on a single bit of feedback, which equals one if the signal-to-interference-plus-noise (SINR) reaches a predefined threshold. The novelty consists in a modified reward function, inspired from the sparse nature of the mmWave channel, coupled with the well-known exponential weights algorithm (EXP3). First, we show that our resulting adaptive policy comes with optimal theoretical guarantees in terms of sub-linear regret. Second, our numerical results demonstrate significant performance gains of our beam-alignment policy compared with the original EXP3 algorithm and other existing policies in a mmWave setting with user mobility.
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2,737
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Please write an abstract with title: Consumer Rating Analysis and Recommendation Methodology Using Machine Learning, and key words: Analytical models, Social networking (online), Blogs, Manuals, Writing, Predictive models, Data models. Abstract: In the era of online shopping, Online platforms are loaded with online shopping. Nowadays, online shopping has become a trend and a necessity of fast delivery to home. Online platforms sites like Twitter, in this new time, is stacked with product marketing and feedback information. One of the most broadly utilized miniatures writing for a blog webpage, Twitter, is the place where individuals share their thoughts as tweets and thusly it becomes perhaps the best hotspot for nostalgic investigation of feedback of products. Assessments can be generally assembled into three classifications for positive, negative and neutral and the method involved with dissecting contrasts of conclusions and gathering them in this large number of classes is done by data modeling. Data mining is fundamentally utilized to uncover applicable data from tweets information particularly from the informal communication destinations. A Model is also designed with Micro blogging solution for the evaluation of reviews. In many social sites there are many online marketing recommendation may be done with recommendation post from the product consumer which would initiate the growth of any business and also eliminate the need of any raw data for analysis of the consumer rating. In the model, we propose a methodology two methodology, one is analysis from social sites like Facebook and other social platform and another is recommendation method which decrease the marketing strategy required for the consumer to consumer connection. A testing recommendation helps to remove not required information from the product consumer to product consumer communication and this helps for the product recommendation analysis to be done properly.
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2,738
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Please write an abstract with title: Wearables for the Next Pandemic, and key words: Diseases, Vaccines, Viruses (medical), Temperature sensors, Lung, Biomedical monitoring. Abstract: This paper reviews the current state of the art in wearable sensors, including current challenges, that can alleviate the loads on hospitals and medical centers. During the COVID-19 Pandemic in 2020, healthcare systems were overwhelmed by people with mild to severe symptoms needing care. A careful study of pandemics and their symptoms in the past 100 years reveals common traits that should be monitored for managing the health and economic costs. Cheap, low power, and portable multi-modal-sensors that detect the common symptoms can be stockpiled and ready for the next pandemic. These sensors include temperature sensors for fever monitoring, pulse oximetry sensors for blood oxygen levels, impedance sensors for thoracic impedance, and other state sensors that can be integrated into a single system and connected to a smartphone or data center. Both research and commercial medically approved devices are reviewed with an emphasis on the electronics required to realize the sensing. The performance characteristics, such as accuracy, power, resolution, and size of each sensor modality are critically examined. A discussion of the characteristics, research challenges, and features of an ideal integrated wearable system is also presented.
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2,739
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Please write an abstract with title: Sugarcane Precision Monitoring by Drone-Borne P/L/C-Band DInSAR, and key words: Productivity, C-band, Soil measurements, Soil moisture, Crops, Agriculture, Biomass. Abstract: This work presents a remote sensing solution for sugarcane precision agriculture based on a drone-borne differential interferometric synthetic aperture radar (DlnSAR) operating in the P-, L-, and C-bands. With one flight pass, the system can estimate the soil moisture, the plantation height, and the above-ground biomass map; and predict the harvest date and the respective productivity. With two flight passes, it assesses the crop growth via differential interferometry. A new methodology dedicated to sugarcane plantation was developed based on the existing methodologies for soil moisture and biomass measurement. The image information from the three bands, plus the C-band InSAR and P-band DInSAR information, show immense potential for efficient and low-cost monitoring. The results validated the methodology in a large sugarcane mill.
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2,740
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Please write an abstract with title: Microwave induced response in normal state Y-Ba-Cu-O films, and key words: Yttrium barium copper oxide, Voltage, Thermoelectricity, Lighting, Frequency, Electromagnetic heating, Strips, Anisotropic magnetoresistance, Laser modes, Temperature. Abstract: Fast thermoelectric voltage signals in microwave irradiated normal state YBaCuO HTS thin films has been observed. The response amplitude strongly depends on the c-axis tilt angle but is frequency independent in the MMW and THz bands. The possibility of response amplitude increase and applicability as an ultra-broadband microwave sensor are discussed.
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2,741
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Please write an abstract with title: Emerging non-volatile memory technologies, and key words: Nonvolatile memory, Magnetic tunneling, Magnetization, Random access memory, Electrodes, Phase change random access memory, Metal-insulator structures, Magnetic fields, Flash memory, Insulation. Abstract: The concept, the status and the respective challenges of the emerging non-volatile memory technologies are described. After discussing the magneto-resistive random access memory technology, the ferro-electric random access memory technology and the phase change memory technology, their key properties are summarized and compared to the well-established Flash memory technology. From that comparison the main challenges for the emerging technologies towards catching a significant fraction of the overall memory market are highlighted.
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2,742
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Please write an abstract with title: Prediction on the Highest Price of the Stock Based on PSO-LSTM Neural Network, and key words: Training, Logic gates, Particle swarm optimization, Data models, Biological neural networks, Time series analysis. Abstract: With the development of artificial intelligence technology, the stock market has entered a new research stage. Machine learning algorithm is widely used in the prediction of financial time series. The highest price of a stock is an important factor to measure the price of a stock. For this reason, this paper uses three representative historical data of American stocks as the research object to analyze the short-term price trend. In addition to the original short and long term memory networks, in order to improve the accuracy of prediction, we put forward a prediction model combining particle swarm optimization algorithm and long - and short-term memory neural network. Through empirical research, the PSO optimization algorithm proposed for LSTM model can quickly find the optimal network weight of the neural network, reduce the loss function, achieve the effect of rapid fitting, and has a more accurately predicted results.
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2,743
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Please write an abstract with title: Assessment of the Viability of Transplant Organs with 3D Electrical Impedance Tomography, and key words: Impedance, Tomography, Frequency, Bioimpedance, Biomembranes, Extracellular, Ischemic pain, Surgery, Liver, Mechanical engineering. Abstract: Methods that can determine the extent of tissue damage in transplant organs, before the decision to transplant has been made, have the potential to improve the outcome of the procedure by preventing unfit organs from being transplanted into the patient. The raised confidence in the organ state with such a technique would also increase availability. Now restricted due to the fear of introducing a failed organ resulting from the relative lack of viability data during transport, stringent criteria for donation would relax. Electrical impedance tomography is an imaging modality that recovers the spatial variation of the complex impedivity in the body from electrical measurements made on the periphery. In this study, we apply 3D EIT with the complete electrode model to a sample conductivity distribution that might result from an organ that is losing its viability due to prolonged ischemia. The reconstructed images show that EIT has the potential to become an adjuvant method for the field of organ transplantation
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2,744
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Please write an abstract with title: A Unified Control for PFC Converter With Seamless Transition Between PWM/PFM Modes, and key words: Inductors, Switches, Switching frequency, Pulse width modulation, Control systems, Power harmonic filters, Voltage control. Abstract: Discontinuous conduction mode is often used in boost power factor correction converter. This article proposes a unified control method to achieve both pulsewidth modulation control and pulse frequency modulation control, which is based on the virtual impedance principle. The control modes can easily be changed by only adjusting one control parameter. Consequently, by comprehensively considering current ripple, switching frequency, and efficiency, the converter can operate flexibly in the situation of variable loads. This article first introduces the operation principle of the proposed unified control method. Then, the operation condition for each control mode is discussed. Besides, the current ripple, the switching frequency, and the power loss are analyzed. Finally, the experimental results of steady-state test and load switching test are presented. And the efficiency of the converter is more than 95% in the range from half load to full load. These experimental results fully verify the effectiveness of the proposed control.
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2,745
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Please write an abstract with title: Effect of Kernel in Support Vector Regression Method to Predict Surabaya Consumer Price Index Trend, and key words: Support vector machines, Economic indicators, Neural networks, Training data, Mean square error methods, Predictive models, Market research. Abstract: Staple Food is a necessity that is needed by the people of Indonesia. This is very sensitive when there is an increase or decrease in the price of basic foodstuffs. In the calculations at the cooperative and trade industry offices, some constants are used as benchmarks to assess the increase and decrease in prices of basic foodstuffs, namely the CPI (Consumer Price Index).Support vector regression (SVR) is one of the appropriate methods to solve regression problems based on the concept of maximizing the hyperplane to obtain data that is a support vector. The selection of this method is based on the level of MSE (mean square error) which is lower than the neural network method. As a test material, a sample dataset of staple food prices for the past 5 years was used. Where for training data using a sample of 2013-2014 with a total of 24 records, and testing data using a sample of 2015-2016 as many as 24 records.In this study, the researcher tried to apply multiple kernels in the Support Vector Regression method to predict the CPI (Consumer Price Index). The result of this research is like this.SPLine and Polynomial have less MSE than other kernels it means These two kernels have good usage when use in time-series data.
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2,746
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Please write an abstract with title: A Survey on Cross Layer Energy Efficient Protocol for WMNs, and key words: Cross layer design, Wireless sensor networks, Wireless networks, Energy conservation, Wireless mesh networks, Routing, Energy efficiency. Abstract: With the rising demand for network solutions, computer network technologies is continually evolving, the world wide web has been extensively utilized in the world, and profoundly influence people's life. To accomplish a handy and accurate communication support in anytime and anyplace. We should enhance the power efficiency of this network and overcome the shortcomings of the standard network. What is more, wireless network technologies have attracted an increasing number of attentions from both industry and academic, in precisely the exact same period Wireless Mesh Network has surfaced and turned into a popular topic in search field. WMN is a multi-hop broadband wireless community arrangement, along with a distributing system using high-capacity and high-speed also. Owing to its topology arrangement, transportation mode and service attributes of WMN, the layer protocol of conventional wired network employed in these approaches is no more related to WMN routing protocol. Because of high energy intake in the data and communication technologies (ICT) businesses, and that could have an influence on the environment, energy efficiency is now an integral aspect to value the operation of a communication system. Because of this, it's a popular topic and a challenging issue to learn more about the cross-layer energy efficient routing protocol for WSNs. Within this paper we will present the normal structure and fundamental features of WMN, then assesses the requirement, fundamental prerequisites, fundamentals, and ways of utilizing cross-layer energy efficient routing layout in WMNs.
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2,747
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Please write an abstract with title: Impacts of HF etching on ultra-thin core gate oxide integrity in dual gate oxide CMOS technology, and key words: CMOS technology, Hafnium, Etching, Niobium compounds, Titanium compounds, Fabrication, MOSFETs, Transconductance, Laboratories, Semiconductor device manufacture. Abstract: In this paper, we investigate the effects of HF etching on the integrity of ultra-thin oxides in dual gate oxide (DGO) CMOS technologies. We found that both the HF concentration in the etching solution and the over etching (OE) time are important parameters that greatly affect the device performance and reliability. Our results indicate that, with a proper over etching period, using a concentrated HF solution results in better ultra-thin gate oxides in terms of reduced defect density, improved device performance and reliability, compared to using diluted HF solution. It is also found for the first time that negative-bias-temperature instability (NBTI) immunity for PMOSFETs is improved by using concentrated HF solutions.
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2,748
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Please write an abstract with title: CCNET: Cross Coordinate Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading, and key words: Retinopathy, Blindness, Biology, Diabetes, Lesions, Standards. Abstract: With the rapid development of the world economy and increasing improvement of people's living standards, the number of diabetic patients has been growing quickly. Meanwhile, the complications of diabetes especially retinopathy have been affecting their daily life seriously. The only way to prevent it from getting worse and even leading to blindness is to make corresponding diagnosis as early as possible. However, it's extremely impossible for professionals to diagnose all the patients through their fundus images. It couldn't be better to solve the problem by automatic systems, so we present a novel network to learn the features of diabetic retinopathy (DR) and its complication diabetic macular edema (DME) and the relationship between them, focus on some vital areas in the pictures and eventually obtain the grades of the two diseases at the same time. Experimental results further prove the effectiveness of our proposed module comparing to the only joint grading network before.
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2,749
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Please write an abstract with title: A Linear Optical Current Transducer Implemented With a Strip Aluminum Polarization Grating, and key words: Gratings, Temperature measurement, Aluminum, Temperature sensors, Optical polarization, Nonlinear optics, Faraday effect. Abstract: There are some significant defects in the existing optical current transducers (OCTs), such as optical power dependence, non-linear demodulation with Malus law, linear birefringence, etc. These defects severely hurt the reliability, stability, and accuracy of OCTs in long-term applications. The main idea to become free of these defects is to have a linear sense of the Faraday rotation angle. To this end, the paper presents a linear OCT based on a strip aluminum polarization grating, which directly converts the Faraday rotation angle into a synchronous line movement of a light spot. It then positions the spot to measure the current. It has no optical power dependence, realizes a linear sense of the Faraday rotation angle, reduces the effect of temperature drift, almost eliminates linear birefringence, improves long-term stability, and achieves a 0.2S class accuracy.
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2,750
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Please write an abstract with title: On a global optimization technique for solving a nonlinear hyperboloid least squares problem, and key words: Least squares methods, Biochemistry, Optimization methods, Testing, Proteins, Permission, Performance evaluation, Numerical analysis, Chemical elements, Least squares approximation. Abstract: We present a numerical experimentation of the global optimization algorithm presented by Velazquez et al. (2001) applied to a nonlinear hyperboloid least squares problem. This problem arises when beta sheet residues from an allosteric enzyme are fitted onto a hyperboloid by using Newton type methods. The results show that the algorithm performs well on three test cases. An important side result of this study is that the nonlinear fitting procedure is vastly superior to the linear least squares procedures traditionally used for this type of problems.
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2,751
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Please write an abstract with title: Computer Modeling the Effect of Weak Electromagnetic Field on Charged Particles by Unity Engine, and key words: Magnetic fields, Visualization, Coils, Mathematical model, Trajectory, Tools, Optimization. Abstract: The problem of computer modeling and visualization of weak electromagnetic fields is important for research activity, education, biology, medicine and industry. Visualization helps better understanding and clarifying the physical and mathematical models that are used. In medicine low frequency magnetic fields are traditionally used in magnetotherapy, and at the moment computer modeling and visualization give the only practical approach to the studying the influence of magnetic fields on a living organism. In this work we designed and implemented an effective and adequate computer tool both for modeling a magnetic field distribution and the action of the field on charged particles. The tool is designed in the program environment Unity, which allows the combining calculations and visualization, considerable reducing run-time and the development of a flexible application that may be easily used by both practicians and researchers. The results of experiments are given.
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2,752
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Please write an abstract with title: Analytic modeling and FEM simulation of a resonant micromachined magnetic field sensor, and key words: Magnetic sensors, Magnetic analysis, Analytical models, Magnetic resonance, Magnetic field measurement, Finite element methods, Sensor phenomena and characterization, Design methodology, Electrostatic measurements, Frequency measurement. Abstract: In this paper, analytic modeling and simulation results are described for a new design of micromachined resonant magnetic field sensor. The sensing methodology for this design is based on measuring the shift in the resonant frequency of an electrostatic comb-drive resonator, when the sensor is exposed to an external magnetic field. An analytic model of the sensor is derived and its results are compared against those obtained from finite element simulations in ANSYS. The finite element simulation results suggest that the sensitivity of the sensor is about 213 Hz/T.
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2,753
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Please write an abstract with title: A sliding mode fuzzy controller for underwater vehicle-manipulator systems, and key words: Fuzzy control, Fuzzy systems, Sliding mode control, Control systems, Vehicle dynamics, Manipulator dynamics, Trajectory, Fuzzy logic, Underwater tracking, Performance gain. Abstract: In this paper, a new sliding mode controller is proposed for trajectory tracking of underwater-manipulator systems (UVMS), with gain tuning based on the fuzzy logic control approach. The sliding mode controller is designed based on the decentralized form of the dynamics of UVMS. By tuning gains with fuzzy logic, the proposed controller has the advantages that it does not require a model of the vehicle/manipulator system dynamics and ensures robust performance in the presence of disturbances and dynamic interactions. In order to validate the effectiveness of the controller, several simulations using a five degrees of freedom UVMS are performed. The results show that the proposed controller provides high performance of trajectory tracking in the presence of uncertainties about the dynamics and hydrodynamic disturbances.
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2,754
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Please write an abstract with title: Research on hybrid game on heterogeneous networks, and key words: Java, Biological system modeling, Computational modeling, Sociology, Games, Complex networks, Heterogeneous networks. Abstract: With the development of complex network and game theory, the combination of the two can solve some social dilemmas, which is invested by more and more scholars and researchers. Most of the traditional methods are static games based on complex networks and classical game models. However, individuals in reality have heterogeneous attributes. This paper considers the heterogeneity of network individuals, introduces the concept of population in biology, constructs a heterogeneous network model, introduces the income correction factor according to the individual heterogeneity, and redefines the income function based on the classical game theory. Using social enterprise competition case analysis and computer simulation program simulation experiment, then deeply analyze the experimental results and summarize the laws, so as to provide a theoretical basis for enterprise development competition.
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2,755
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Please write an abstract with title: Flexible resources dispatching to assist DR management in urban distribution network scenarios including PV generation: an Italian case study, and key words: Urban areas, Integrated circuits, Voltage control, Power demand, Load management, Photovoltaic systems. Abstract: Nowadays, Distributed System Operators (DSOs) are facing more and more difficult challenges in meeting the user needs with an increasing overall power demand, at the same time guaranteeing the required level of reliability. A possible solutions is offered by the Demand Response (DR) management, aiming to reduce the total load demand of the distribution system during peak periods in order to maintain the integrity of the network and stability of the whole system. The paper analyses different scenarios based on real data from the distribution grid of Milan (Italy), evaluating benefits and costs of DR implementation in three different plants, to solve problems related to feeders congestion, power losses, and voltage drops, through either the scheduling or remote control of distributed resources. Moreover, load shape considerations suggests the possibility to integrate in the system a higher share of photovoltaic (PV) generation, of which the effects on DR are also evaluated in the paper.
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2,756
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Please write an abstract with title: Entrepreneurial Student Motivation Analysis Through Online Media at Universities in Jakarta: Binary Logistic Regression Approach, and key words: Analytical models, Data analysis, Social networking (online), Entrepreneurship, Predictive models, Media, Probability. Abstract: The goal of this research is to find out the purpose of predicting the probability of entrepreneurship motivation of private universities in East Jakarta towards blended learning and social media learning which includes model feasibility and overall model fit. The research method is carried out with a quantitative approach that uses Binary x'Logistic Regression or Binary Multiple Regression. The analytical tests here are Case processing summary, Simultaneous Test (Omnibus Test), Expectation and measurement of association, Hosmer and Lemeshow model test, and Fit model test. Data analysis techniques include the simultaneous test based on the omnibus table, the hypothesis rejects H0. The conclusion is that there is at least one independent variable that is significantly correlated with the response variable so that the model can be analyzed. model summary for the Nagelkerke R-value of 0.641 that the entrepreneurial motivation variable is explained in the form of a model of 64.1 %. From the t-test output, blended learning and social media learning are statistically significant because they have a probability below 0.05. Therefore, the regression model shown is very good at predicting entrepreneurial motivation in the use of blended learning and social media learning media.
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2,757
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Please write an abstract with title: A polarization radar channel: elements and singularities, and key words: Polarization, Matrix decomposition, Radar scattering, Radar measurements, Apertures. Abstract: The factors, having a considerable influence to the radar signals polarization structure, are considered. An influence value of these factors to information obtained, is estimated.
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2,758
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Please write an abstract with title: The Decentralized Controller Based on a Consensus Theory for Stabilizing the Heading Angle in Closed Formation, and key words: Unmanned aerial vehicles, Trajectory, Angular velocity, Aircraft, Aerodynamics, Decentralized control, Robustness. Abstract: During the closed formation control of multiple unmanned aerial vehicle UAV’s strategy, the flight direction of UAV’s will be disturbed, which is difficult to predict accurately, due to the wind disturbance, atmospheric pressure and aerodynamic force produced by the UAV’s. In this research, decentralized closed formation heading flight controllers is proposed for the correction of heading angle of UAV’s based on consensus theory. Collisions may occur in the course of the heading angle correction, the convergence of heading angle correction system is calculated by eigenvalue. The robustness of the proposed heading flight controller is simulated on different communication structure, and it proves that it has better robustness and fast convergence.
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2,759
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Please write an abstract with title: A monolithic 2.45 GHz, 0.56 W power amplifier with 45% PAE at 2.4 V in standard 25 GHz f/sub T/ Si-bipolar, and key words: Power amplifiers, Radiofrequency amplifiers, Impedance matching, Radio frequency, Production, Network-on-a-chip, Transformers, Low voltage, Microstrip, Power supplies. Abstract: A monolithic radio frequency power amplifier for 2-2.6 GHz has been realized in a standard 25 GHz-f/sub T/ Si-bipolar production technology. The balanced two-stage push-pull power amplifier uses two on-chip transformers as input-balun and for interstage matching and operates at supply voltages as low as 1 V. A new type of microstrip line balun acts as output matching network. At 1 V, 2.4 V, 3 V supply voltages output powers of 19 dBm, 27.5 dBm, 29.1 dBm are achieved at 2.45 GHz. The respective power added efficiency is 38%, 45%, 46%. The small-signal gain is 35 dB.
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2,760
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Please write an abstract with title: MEMS-based high-speed low-power vector display, and key words: Displays, Micromechanical devices, Resonance, Bandwidth, Low pass filters, Universal Serial Bus, Band pass filters, Control systems, Narrowband, High speed optical techniques. Abstract: We demonstrate a MEMS-based vector display system utilizing gimbal-less two-axis micromirror scanners for high-speed laser beam-steering. The system is capable of displaying freehand sketches, parametric curves, text, as well as multiframe animations at arbitrary refresh rates. The scanners can be operated in point-to-point vector scanning or resonant and rastering modes. Due to ultra-low power consumption of the MEMS devices, the system is highly portable, miniature and powered and controlled via a PC USB interface
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2,761
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Please write an abstract with title: Neuroevolutive Control of Industrial Processes Through Mapping Elites, and key words: Process control, Sociology, Statistics, Optimization, Computational modeling, Approximation algorithms, Evolutionary computation. Abstract: Classical model-based control techniques used in process control applications present a tradeoff between performance and computational load, especially when using complex nonlinear methods. Learning-based techniques that allow the controller to learn policies from data represent an appealing alternative with potential to reduce the computational burden of real-time optimization. This article presents an efficient learning-based neural controller, optimized using evolutionary algorithms, designed especially for maintaining diversity of individuals. The search of solutions is conducted in the parameter space of a population of deep neural networks, which are efficiently encoded with a novel compression algorithm. Evaluation against strong baselines demonstrates that the proposed controller achieves better performance in most of the chosen evaluation metrics. Results suggest that learning-based controllers are a promising option for next-generation process control in the context of Industry 4.0.
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2,762
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Please write an abstract with title: The Gray-Wyner Network and Wyner’s Common Information for Gaussian Sources, and key words: Random variables, Receivers, Optimization, Mutual information, Source coding, Covariance matrices, Entropy. Abstract: This paper presents explicit solutions for two related non-convex information extremization problems due to Gray and Wyner in the Gaussian case. The first problem is the Gray-Wyner network subject to a sum-rate constraint on the two private links. Here, our argument establishes the optimality of Gaussian codebooks and hence, a closed-form formula for the optimal rate region. The second problem is Wyner’s common information and a generalization thereof, where conditional independence is generalized to a limit on the conditional mutual information. We present full explicit solutions for the scalar as well as the vector case.
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2,763
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Please write an abstract with title: Feasibility of an EMCCD-based beta imaging probe for radioguided surgery, and key words: Probes, Surgery, Neoplasms, Optical fiber sensors, Optical imaging, Radiation detectors, Beta rays, Spatial resolution, Radiation monitoring, Neck. Abstract: We report on initial results of our new intraoperative probe, capable of functioning in real time with high spatial resolution and high sensitivity. This probe is based on a combination of two novel technologies, an electron multiplying charge coupled device (EMCCD) bonded to a microcolumnar CsI(Tl) scintillator via a flexible fiberoptic. Our data demonstrates that the probe can be used with such beta-emitting radiolabels as /sup 18/F, /sup 131/I, and /sup 32/P. The basic design of the probe and its evaluation using standard clinical phantoms is presented. Also, the operational data obtained on swine models is included to demonstrate the probe's efficacy in practical procedures.
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2,764
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Please write an abstract with title: Impact analysis of false data injection attacks in transactive energy market-based micro-grid systems, and key words: Transactive energy, Economics, Asia, Reliability engineering, Smart grids, Peer-to-peer computing, Security. Abstract: Transactive Energy Markets (TEMs) have emerged as a promising approach to balance the demand and supply dynamically across the grid using the increasing integration of distributed energy generation in the electric grid. TEM enables peer to peer (P2P) energy trading and brings flexibility by reducing users' demand in the grid. TEM has various components. Adversaries can target any market component and perform false data injection attacks (FDIAs) either by maliciously acting as a market participant or by exploiting their fragile security mechanism during energy trading. Hence, in this study, we present and evaluate two FDIAs where attackers (1) manipulate the requested flexibility through an attack into flexibility requesters (2) modify forecasting data by executing an FDIA over TEM users' smart devices during the flexibility and P2P market of TEM-based micro-grid systems. We analyze the impact of these attacks on the market operation, prosumers, and consumers by conducting computer simulations. The result shows that adversaries gain significant financial benefits while victims face economic losses. The result also indicates that attackers could severely impact market operations just by injecting a small false demand.
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2,765
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Please write an abstract with title: FORTIFY: Analytical Pre-Silicon Side-Channel Characterization of Digital Designs, and key words: Power demand, Scalability, Side-channel attacks, Passwords, Logic gates, Distance measurement, System-on-chip. Abstract: Power side-channel attacks are potent security threats that exploit the power consumption patterns of an electronic device to glean sensitive information ranging from secret keys and passwords to web-browsing activity. While pre-Silicon tools promise early detection of side-channel leakage at the design stage, they require several hours of simulation time. In this paper, we present an analytical framework called FORTIFY that estimates the power side-channel vulnerability of digital circuit designs at signal-level granularity, given the RTL or gate-level netlist of the design, at least 100 times faster than contemporary works. We demonstrate the correctness of FORTIFY by comparing it with a recent simulation-based side-channel leakage analysis framework. We also test its scalability by evaluating FORTIFY on an open-source System-on-Chip.
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2,766
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Please write an abstract with title: Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering, and key words: Unsupervised Learning, Evolving Fuzzy System, Granular Computing, Online Data Stream. Abstract: Time-varying classifiers, namely, evolving classifiers, play an important role in a scenario in which information is available as a never-ending online data stream. We present a new unsupervised learning method for numerical data called evolving Internal-eXternal Fuzzy clustering method (Fuzzy eIX). We develop the notion of double-boundary fuzzy granules and elaborate on its implications. Type 1 and type 2 fuzzy inference systems can be obtained from the projection of Fuzzy eIX granules. We perform the principle of the balanced information granularity within Fuzzy eIX classifiers to achieve a higher level of model understandability. Internal and external granules are updated from a numerical data stream at the same time that the global granular structure of the classifier is autonomously evolved. A synthetic nonstationary problem called Rotation of Twin Gaussians shows the behavior of the classifier. The Fuzzy eIX classifier could keep up with its accuracy in a scenario in which offline-trained classifiers would clearly have their accuracy drastically dropped.
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2,767
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Please write an abstract with title: A denoising source separation based approach to interference cancellation for DS-CDMA array systems, and key words: Noise reduction, Source separation, Interference cancellation, Multiaccess communication, Interference suppression, Decision support systems, Statistics, Array signal processing, Channel state information, Channel estimation. Abstract: Spreading codes provide a layer of interference suppression in a DS-CDMA system. This is not sufficient and can be augmented by schemes relying on second-order statistics and effective beamforming methods. These methods either require good channel state information or a separation in the look direction. This additionally requires the use of channel estimation or direction-of-arrival (DOA) estimation. This paper proposes icDSS - an interference cancellation method based on denoising source separation (DSS) (J. Sarela et al., 2004). Here, a source separation algorithm is built around a denoising procedure consisting of despreading the signals followed by thresholding. DSS can be used to suppress the interference as well as to denoise the system. Since icDSS does not use any information about the channel, this method is blind. The only information icDSS knows is the spreading code of the user of interest. Computer simulations demonstrate the performance and applicability of this algorithm.
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2,768
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Please write an abstract with title: Giant magneto resistive sensing of critical power system parameters, and key words: Power systems, Magnetic sensors, Power system measurements, Partial discharges, Hardware, National electric code, Prototypes, Magnetic field measurement, Partial discharge measurement, Power measurement. Abstract: Several experimental and computational attempts to sense and measure the most critical electromechanical operating parameters of power system are conducted in the laboratory. In this paper, power system parameters such as load current (I), partial discharge (PD), corona discharge (CD), capacitive charging current (CCC), and applied high voltage (HV) are under investigation. The objective is to optimize the utilization of some newly developed, low cost, and commercially available hardware sensors and equipment. The hardware includes some novel elements such as, giant magneto resistive (GMR) current/magnetic field sensors. All components are contained around power conductors in a specially designed, none-magneto equipotential cylindrical structure (NECS) prototype. Objectives are being met to manipulate GMR to sense I and HV. From the experimental results and feasibility calculations, GMR sensors are found to maintain their known wide linearity range and accuracy. The manipulations to measure I include: distance, current, bias, and orientation alterations. The manipulations of sensing PD, CD, CCC, and HV include the utilization of a sensitive GMR earth field sensor to measure the short circuited CCC through the NECS prototype.
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2,769
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Please write an abstract with title: Electrical and Mechanical Condition Assessment of Low Voltage Unshielded Nuclear Power Cables Under Simultaneous Thermal and Mechanical Stresses: Application of Non-Destructive Test Techniques, and key words: Power cables, Cable insulation, Cable shielding, Dielectrics, Mechanical cables, Dielectric measurement, Voltage measurement. Abstract: Low voltage cables play a crucial role in the safe and reliable operation of nuclear power plants. This paper discusses the effect of simultaneous combined thermal and mechanical stresses on the overall insulation of unshielded low voltage power cables used in nuclear power plants. Cable samples based on XLPE/CSPE insulation were exposed to thermal-mechanical combined accelerated aging tests for an extended period lasted to 907 hours. Time and frequency domain dielectric spectroscopy were applied to reveal the degradation level of the core insulation and jacket due to combined stresses. The former technique was conducted through the measurement of the decay and return voltage slopes, while the latter technique was based on the measurement of the complex permittivity. Moreover, the mechanical properties of the cable insulation were investigated by applying the measurement of the Shore D hardness. The results showed that the combined aging affects both the electrical and mechanical properties of the overall insulation. The complex permittivity at 100 Hz, the decay voltage slope, and the hardness had an upward trend with aging, while the return voltage slope showed an inverse trend. In addition, the results of the electrical and mechanical measurements showed strong correlation with aging time and further correlation was observed between the dielectric and mechanical properties. The correlation between aging time and test results suggests that the presented test methods are promising tools for in situ condition monitoring of low voltage unshielded cables in nuclear power plants.
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2,770
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Please write an abstract with title: Weighted Kalman Based Detection for Uplink MIMO Systems, and key words: 5G mobile communication, System performance, Simulation, Bit error rate, Software algorithms, Receiving antennas, Massive MIMO. Abstract: Rapid innovations in the fifth generation (5G) net-works have unveiled new challenges, mainly the transmission rate maximization. One of the most promising key technologies for the upcoming 5G communication systems is massive multiple input multiple output (MIMO) that has been proven to boost the spectral efficiency and ensure a better system capacity. In fact, deploying a large number of transmit and receive antennas in MIMO networks can enhance the system performance. Nevertheless, the uplink signal detection still be very challenging in massive MIMO networks. In this paper, we adopt a massive MIMO scenario and we introduce a weighted Kalman uplink detection approach that is able to improve the system performance in terms of the bit error rate (BER) when using a large number of receive antennas. Simulations results confirm that the proposed algorithm performs better than Minimum Mean Square Error (MMSE) and Kalman filter detectors, especially for medium and high signal-to-noise ratio (SNR).
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2,771
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Please write an abstract with title: The Design of a Bandpass Filter with Inductive Strip - Planar Circuit Mounted in Waveguide, and key words: Band pass filters, Strips, Planar waveguides, Coupling circuits, Microwave theory and techniques, Waveguide theory, Equivalent circuits, Microstrip, Mass production, Geometry. Abstract: The equivalent circuit of an inductive strip inserted in the middle of a waveguide parallel to the E plane is analyzed theoretically by evaluating the inductive reactance of the equivalent T network which was obtained by the Rayleigh-Ritz variational technique. A design theory for the bandpass filter of this type is derived from this equivalent circuit. The confirmation between the design theory and the experimental resuIts is also shown.
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2,772
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Please write an abstract with title: Mechanical Fault Diagnosis of Transformer On-Load Tap-Changer Based on Improved Variational Mode Decomposition and Support Vector Machine, and key words: Vibrations, Feature extraction, Support vector machines, Fault diagnosis, Time-frequency analysis, Genetic algorithms, Springs. Abstract: Transformer on-load tap-changer (OLTC) is a key component of transformer. Vibration detection method can be applied to the mechanical condition monitoring and fault diagnosis owning to its non-invasive and high-sensitive property. However, several problems such as modal aliasing and feature one-sidedness exist in the current signal processing and fault diagnosis method for OLTC vibration signal. In the paper, an OLTC simulation experiment platform and a vibration signal sensor system are built, and three typical defects, including spring elasticity change, contact wear and contact looseness are set. The vibration signals collected by accelerometers are decomposed into a series of modal components with narrow band and distinguishing center frequency by improved variational mode decomposition (VMD). Then the features including energy, permutation entropy and singular values of each modal component are extracted, and Laplacian-score is used to select the features with better discriminative ability. Finally, the support vector machine (SVM) optimized by genetic algorithm (GA) is applied to fault diagnosis. The result shows that the proposed feature extraction method provides comprehensive and distinguishing features in each operation state, and the proposed fault diagnosis method has higher identification accuracy compared with conventional method.
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2,773
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Please write an abstract with title: A Score-Level Fusion of Fingerprint Matching With Fingerprint Liveness Detection, and key words: Feature extraction, Skin, Fingerprint recognition, Software, Sensor systems, Authentication. Abstract: Fingerprint-based recognition is widely deployed in different domains. However, the traditional fingerprint recognition systems are vulnerable to presentation attack, which utilizes an artificial replica of the fingerprint to deceive the sensors. In such scenarios, Fingerprint Liveness Detection (FLD) is required to ensure the actual presence of a live fingerprint. In this paper, a fingerprint matching method fused with liveness detection is proposed. Firstly, the similarity between two fingerprint images is calculated based on Octantal Neatest-Neighborhood Structure (ONNS), where the closest minutia to the central minutia is found from each sector of octant. Secondly, the FLD score of the fingerprint image is obtained by using the modified Residual Network (Slim-ResCNN). Finally, a score-level fusion is performed on the results of fingerprint matching and FLD by generating interaction features and polynomial features as the score feature vector. To classify whether a fingerprint image is a genuine live fingerprint or a spoof attack (including impostor live and fake fingerprints), the score feature vector is processed using logistic regression (LR) classifiers. The proposed method won the first place in the Fingerprint Liveness Detection Competition 2019 with an overall accuracy of 96.88%, which indicates it can effectively protect the fingerprint recognition systems from spoof attacks.
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2,774
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Please write an abstract with title: Reconfigurable wireless networks (RWN): making mobiles more intelligent, and key words: Wireless networks, Intelligent networks, Frequency, Mobile communication, Demodulation. Abstract: Summary form only given, as follows. Today our majority of communication is based on wireless networks. The ease of using wireless devices is making them quite popular. One main limitation in wireless devices is that they are designed for specific frequency and does not work outside that range. So what will happen if a user whose mobile has been designed to work in a certain set of frequencies takes it to another region where a different set is implemented; obviously the mobile won't work. This is a major flaw in the current design making the user's mobile unusable in that region. The solution to this problem is a Reconfigurable Wireless Network (RWN). In this paper, we will discuss a reconfigurable mobile system that changes its frequency set accordingly. In the paper, we will present different possible solutions and then conclude with the most efficient one that will be used for modulation and demodulation of the base band signal and configure itself according to the environmental conditions.
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2,775
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Please write an abstract with title: Connection Dependency of Output Voltage in Cascaded Power Packet Dispatching Network, and key words: Multiplexing, Buck converters, Power measurement, Modulation, RLC circuits, Microgrids, Dispatching. Abstract: This paper experimentally examines the dependency of output voltage on the connection of a cascaded power packet dispatching network. The power packet dispatching network has been studied for managing energy in the direct current (DC) power systems such as DC microgrids. A unit power packet consists of DC power and the information related to the attached power. Power packet routers transmit power packets in the time-division multiplexing method. The power packet dispatching network is recognized as a similar circuit configuration to the buck converter. The output voltage of the buck converter is controlled by the pulse width or density modulation. In addition to them, the connection in the network affects the output of the power packet dispatching network. This paper examines the dependency of the output voltage on the connection of the cascaded network. The experimental results show the dependency on the connection of the output and similarity to the buck converter operating in discontinuous conduction mode. The results will lead to the power flow control in the network.
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2,776
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Please write an abstract with title: On Prediction of Research Excellence using Data Mining and Deep Learning Techniques, and key words: Deep learning, Support vector machines, Technological innovation, Engineering profession, Social networking (online), Bibliometrics, Predictive models. Abstract: Scientometrics analyses the science, technology and innovation. It measures and analyses the scientific literature. The goal of our research is to predict excellence of the researchers and examine the relationship between scientometric indicators. Data Mining Techniques are used to study research excellence in this paper. A dataset used in this research study consisted of 406 researcher's data which is extracted from MathSciNet (MSN) databases. Data mining classification algorithms like Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, Logistic Regression and Deep Learning are applied on the dataset for the prediction of research excellence. The performance of these algorithms is also compared on the basis of some performance measures.
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2,777
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Please write an abstract with title: Joint Device-Edge Inference over Wireless Links with Pruning, and key words: Wireless communication, Servers, Training, Performance evaluation, Computer architecture, Convolutional codes, Convolution. Abstract: We propose a joint feature compression and transmission scheme for efficient inference at the wireless network edge. Our goal is to enable efficient and reliable inference at the edge server assuming limited computational resources at the edge device. Previous work focused mainly on feature compression, ignoring the computational cost of channel coding. We incorporate the recently proposed deep joint source-channel coding (DeepJSCC) scheme, and combine it with novel filter pruning strategies aimed at reducing the redundant complexity from neural networks. We evaluate our approach on a classification task, and show improved results in both end-to-end reliability and workload reduction at the edge device. This is the first work that combines DeepJSCC with network pruning, and applies it to image classification over the wireless edge.
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2,778
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Please write an abstract with title: Sliding Mode Control of AC/DC Bridgeless Converter using Piezoelectric Energy Harvesting System, and key words: Low voltage, Renewable energy sources, AC-DC power converters, Transducers, Bridge circuits, Robustness, Wind turbines. Abstract: In this paper, a sliding mode controller has been applied to control AC/DC bridgeless converter which is widely used in many low voltage renewable energy applications. This promising technology has been perfectly applied to many low output AC voltage sources as in Piezoelectric harvesting energy, heat transfer transducers, and small wind turbine panels. Designing stabilized controllers to increase the efficiency and reliability of these converters has been an area of intense research interest in designing the required circuits of renewable energy development. A well-known bridge rectifier is generally used in most types of conventional AC/DC converters in order to convert the AC voltage from the source to a full wave DC rectified signal. However, these converters are not conductive for millivolt output level of renewable sources. The proposed approach consists of both Boost and Buck-Boost converters with two controllers in order to maximize the useful output energy from the source. In this work, the traditional PI controllers are used as a first approach. Then the Sliding Mode Controller (SMC) technique has been integrated with PI in order to stabilize the converter and improve its efficiency. Here, a comparative study using simulations in MATLAB is presented to insure the effectiveness and robustness of the proposed SMCPI controller under some external disturbances.
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2,779
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Please write an abstract with title: Distribution of WLAN received signal strength indication for indoor location determination, and key words: Wireless LAN, Lab-on-a-chip, Databases, Sensor systems, Particle measurements, Local area networks, Costs. Abstract: Indoor positioning systems are platforms required to provide location information for indoor location-aware computing. This study focuses on a type of indoor positioning systems called location fingerprinting technique that utilizes received signal strength indication (RSSI) of wireless local area network (WLAN) interfaces. Thus far, many characteristics of RSSI have not been thoroughly investigated. Many researchers have relied on the RSSI as sensor information to determine objects location while ignoring the characteristic of RSSI. Therefore, this paper looks into underlying mechanism of RSSI from the indoor positioning systems perspective. In particular, the distributions of RSSI from five different IEEE 802.11b/g WLAN interfaces are investigated using extensive measurement experiments. Desired properties of WLAN interfaces for location fingerprinting are also identified based on the measurement results. The ultimate goal is to use additional knowledge gained here to improve positioning performance and to model location fingerprinting based indoor positioning systems.
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2,780
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Please write an abstract with title: Model Validation Lessons Learned through Implementing NERC MOD-033-1, and key words: System dynamics, Transmission line measurements, Phasor measurement units, Planning, Steady-state, Topology, Load modeling. Abstract: Model validation is crucial for maintaining power-grid efficiency and reliability because models are the foundation of many operation and planning applications. The model validation process implemented by Southwest Power Pool (SPP) is presented in this paper. To set up proper steady-state operational conditions of a planning model, generations, loads and external networks in the model are adjusted to match the snapshot of an operational model extracted from the energy management system (EMS). The power flows of all the transmission lines of100 kV and above are compared between the two model cases. A measure of significant differences is established. The differences are reconciled in an iterative manner that includes transmission system impedance and topology alignment using root-cause analysis. To evaluate the accuracy of the SPP system dynamic models, two simulation approaches (i.e., system-wide simulation and event playback) are utilized. The simulated response of the planning dynamic model is compared with the processed phasor measurement unit (PMU) data. The sampling rate of the PMU data is increased through linear interpolation. Results and observations are presented in the paper.
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2,781
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Please write an abstract with title: An Identification Algorithm of Low Voltage User-Transformer Relationship Based on Improved Spectral Clustering, and key words: Adaptation models, Software algorithms, Clustering algorithms, Null space, Distribution networks, Transformers, Software. Abstract: The accuracy of user-transformer relationship identification plays a key role in the safe and stable operation of the distribution network, and its results directly affect the accuracy of line loss calculation of the distribution network. The traditional distribution station recognition algorithm cluster the power frequency zero-crossing sequence, which does not perform well when the sequence is ‘non-convex’. Accordingly, an improved spectral clustering algorithm for arbitrary zero-crossing sequences is proposed. The algorithm takes maximizing the variance of the weight matrix (WM) as the objective function of the adaptive particle swarm optimization algorithm, then adaptively selects the parameter threshold of WM to change the WM into a sparse matrix. Thus, the eigenvectors calculation problem of the traditional spectral clustering algorithm is simplified to find the orthogonal null space of the canonical Laplace matrix. The recognition accuracy of the proposed algorithm with sample data obtained by the simulation software can reach 99.11%, which is better than that of the traditional clustering algorithm.
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2,782
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Please write an abstract with title: Decentralized control of finite state Markov processes, and key words: Distributed control, Markov processes, Delay, Centralized control, Costs, Dynamic programming, Large-scale systems, Heuristic algorithms, Infinite horizon, Control systems. Abstract: We are concerned with the control of a particular class of dynamic systems-finite state Markov chains. The information pattern available is the so-called one step delay sharing information pattern. Using this information pattern, the dynamic programming algorithm can be explicitly carried out to obtain the optimal policy. The problems are discussed under three different cost criteria-finite horizon problem with expected total cost, infinite horizon problem with discounted cost, and infinite horizon problem with average expected cost. The solution of the problem is possible with the one step delay sharing information pattern because, as in the centralized control of Markov chains, a separation principle holds (this is not true for multiple step delay sharing). Hence, the decentralized problem can essentially be reduced to a (more complicated) centralized one: this reduction is carried out in detail. With some modifications, the "policy iteration algorithm" and "Sondik's algorithm" are readily applied to find the optimal policies for these problems.
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2,783
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Please write an abstract with title: Evolution of 3D curves under strict spatial constraints, and key words: Smoothing methods, Design automation, Construction industry, Space technology, Geometry, Process design, Reverse engineering, Noise reduction, Algorithm design and analysis, Computer graphics. Abstract: We present a new algorithm for fairing of space curves with respect spatial constraints based on a vector valued curvature function. Smoothing with the vector valued curvature function is superior to standard Frenet techniques since the individual scalar components can be modeled similar to curvature-based curve smoothing techniques in 2D. This paper describes a curve smoothing flow that satisfies strict spatial constraints and allows simultaneous control of both curvature functions.
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2,784
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Please write an abstract with title: Delay performance analysis for the buffered crossbar switch, and key words: Delay, Performance analysis, Switches, Quality of service, Fabrics, Communication switching, Calculus, Packet switching, Scheduling algorithm, Switching systems. Abstract: The buffered crossbar switch is a combination of crossbar-based switch architecture and combined input and output queueing scheme. It is promising to achieve good performance without complex implementation. In this paper we apply network calculus technique to study the delay performance of the buffered crossbar switch. We setup a service curve-based model for the path through which a flow traverses the buffered crossbar switch. Based on this model, we develop a technique that can determine the end-to-end service curve guaranteed to a flow and calculate the delay upper bound of this flow. Then we analyze the determining factors of this delay bound performance.
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2,785
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Please write an abstract with title: Machine Learning Techniques and Computing Technologies for IoT based Smart Healthcare (COVID-19 Case Study), and key words: COVID-19, Cloud computing, Wireless sensor networks, Machine learning algorithms, Transducers, Machine learning, Medical services. Abstract: The exponential growth of smart devices and gadgets connected to the Internet of Things (IoT) produces massive amounts of data. The number of internet-connected devices is predicted to outnumber people by 25 to 50 billion by 2025. The new concept IoT refers to the combination of wired and wireless embedded communication technologies, sensors, actuators (transducers), and internet-connected items. The data generated by these IoT devices is in high velocity, variety, and varsity in accordance with location and time. IoT is generating data so it one of the primary sources of big data. Intelligent analysis and processing need an hour to develop smart IoT applications to tackle this huge volume of data. This article accesses various computing frameworks such as Cloud Computing, Fog Computing and Edge Computing environments for smarter IoT applications. This article also presents how machine learning algorithms can be incorporated in IoT data to get better insights. Various machine learning algorithms are explained and how these algorithms can be applied to data to get a higher level of information. This studies key contribution is how computing frameworks can be integrated with machine learning techniques in the healthcare sector to get better insights from the data. Mostly in this article, IoT and machine learning algorithms are discussed with respect to COVID-19. Moreover, the potential application areas and open issues of IoT data analytics and Machine Learning are discussed.
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2,786
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Please write an abstract with title: Design of a multiband antenna for satellite communications on the move, and key words: Satellite antennas, Satellite communication, Frequency, Coaxial components, Polarization, Apertures, Antenna feeds, Aluminum, Dielectrics, Mobile communication. Abstract: The trend for military multiband satellite terminals is shifting away from large ground stations to small, mobile terminals that can operate on the move. The multiband antenna described in this paper extends operation to the 20/30/44 GHz bands. The main reflector is 16 inches in diameter and is of the axially displaced elliptical (ADE) type. The feed is supported by a rigid aluminum housing, which aids in achieving a high mechanical resonance frequency for the overall structure. This is important for implementing a high rate mechanical tracking loop. The subreflector is attached to the aluminum feed support using a "feedome" comprised of ROHACELL 110WF foam.
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2,787
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Please write an abstract with title: Evaluation of CEISA Application Information System at KPPBC Type Madya Pabean C, and key words: Information systems, Information technology, Interviews, Capability maturity model, Companies, Process control, Finance. Abstract: Many government agencies use information technology systems to assist in their work. In the direction of a sophisticated service system, high availability, high interoperability, scalable, safe, and easily accessible. One approach is an application that is built on a web basis so that it can be accessed from anywhere if there is an internet and intranet network. The system is not necessarily following the existing and current information system assessment standards, so this study aims to evaluate the maturity level of the application system using the Maturity Model method. The application system studied is CEISA (Customs-Excise Information System Automation), which is used by the Customs and Excise Supervision and Service Office in Indonesia. The location in this research is the Customs and Excise Supervision and Service Office Type Madya Pabean C, located in Pangkalpinang. This study shows the maturity level is at level 1 of the six existing levels. With further development of the system, the maturity level will also increase. As for the results obtained from this study, the maturity level of the CEISA application is at level 1 because someone who is an expert in using the application so that his managerial needs are still lacking. Thus, in the face of the need for a manager's skills shortage, the calculation of the adapted maturity level of COBIT determines the success of a system implemented.
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2,788
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Please write an abstract with title: Enhanced Framework for Active Prosthetic Arm, and key words: Deep learning, Biomedical equipment, Microcontrollers, Humanoid robots, Electromyography, Artificial intelligence, Informatics. Abstract: In medication, prosthesis is an imitation of a body part lost due to injury, infection, or innate conditions. An individual's prosthetics must be planned and collected by the patient's appearance and practical requirements. Recently, prosthetics have evolved from passive prosthetics which primarily fulfilled aesthetic requirement to an active prosthetic which can be controlled by body signals. Several, microcontrollers based prosthetic designs have been presented by several researchers. Recently few electromyogram (EMG) controlled prosthetic designs have also been proposed. With advancements in artificial intelligence, the active prosthetic paradigm has been elevated. Use of artificial intelligence and deep learning has shown results with higher degree of control and accuracy. In this paper, we present a survey of current technologies and progresses for designing prosthetics for physically disabled. The paper discusses about the key features and challenges of the various designs. Further, an easy design with more degrees of freedom for prosthetic has been presented.
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2,789
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Please write an abstract with title: Porous Trabecular Implants - Surface Analysis, Design and 3D Printing Prototyping, and key words: Bones, Three-dimensional displays, Solid modeling, Implants, Three-dimensional printing, Titanium, Prototypes. Abstract: Knowledge of the 3D geometry and characteristics - porous metals with trabecular structure based on titanium or tantalum alloys - is increasingly becoming the premise for the selection and design of advanced biomaterials according to the desired properties. Recent AM techniques and design have allowed precise control of the internal pore structure of the porous architecture, resulting in the manufacture of complex geometries with repeatability. These types of matrices - lattices manufactured by additive techniques are gaining particular interest in the biomedical field. A defining element of the study is the use of “open-source” distribution software that allows all the proposed steps: 1 - ImageJ/BoneJ for analysis and defining ideal bone porosity parameters (control) compared with the surface of trabecular metal implants (models 1 - TMT Zimmer and 2 - Tritanium Stryker)2 - MathMod for generating 3D matrix structure model based on Gyroid TPMS. A system of described matrices, which includes geometric structures built in three-dimensional cell grids, can be obtained by computer-aided design (CAD), based on mathematical models using 3D printing applications. 3 - MeshMixer, Fusion 360 for creating an orthopedic implant prototype with trabecular structure and porosity parameters by 3D printing 4 - Analysis and verification of the surface properties of the prototype samples with different porosity obtained through AM using again Image/BoneJ. The variant of an implant created by 3D design starting from the particular anatomy of the patient, implant modeled with resistance zones with trabecular structure according to the constraints established with the orthopedic surgeon, having the corresponding porosity - is practically possible to perform on a prototype, within the preoperative planning process, without significant technical problems.
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2,790
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Please write an abstract with title: Realtime Face Mask Detection using Machine Learning, and key words: COVID-19, Epidemics, Computer vision, Webcams, Databases, Computational modeling, Government. Abstract: The coronavirus COVID-19 causes a global health problem and therefore effective methods of wearing masks in common place according to the WHO. The COVID-19 epidemic forced governments all over the world impose many restrictions. Reports show that wearing mask while working significantly decrease the chance of getting affected. Effective and economical way to use Artificial Intelligence to develop some useful in production settings. The model using the face mask detection machine will be created. The detection database contains a mask and in addition to the facial images, we will use Open Computer Vision to achieve face mask detection in the webcam.
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2,791
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Please write an abstract with title: Neural sliding mode controller of uncertain robot manipulators using H/sub /spl infin// method, and key words: Robot control, Sliding mode control, Manipulators, Robust control, Neural networks, Uncertain systems, Programmable control, Adaptive control, Approximation error, Robust stability. Abstract: An adaptive neural robust controller based on H/sub /spl infin// method is presented for trajectory of uncertain robot manipulators. An RBF neural network is used to compensate the plant parameter uncertainties, in addition, sliding-mode control action is included to eliminate the effect of approximation error via neural network approximation and the H/sub /spl infin// tracking performance ensures the robust stability that under a prescribed attenuation level for external disturbance. The simulation shows that the control law can guarantee fast convergence of trajectory tracking error as well as robustness for parameter uncertainties and external disturbances.
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2,792
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Please write an abstract with title: NIDS-Network Intrusion Detection System Based on Deep and Machine Learning Frameworks with CICIDS2018 using Cloud Computing, and key words: Organizations, Vegetation, Training, Neurons, Forestry, Standards organizations, Optimization. Abstract: Currently Machine-learning (ML) methods are widely active in this era of information security. Owing to unpredictable actions and unknown vulnerabilities, conventional security strategies based on rules remain vulnerable to sophisticated attacks. ML techniques enable us to develop IDS-Intrusion Detection Systems focused upon finding of anomalies rather than detection of misuse. In addition, threshold problems in detecting anomalies can also be overcome by machine-learning. Like the malicious code datasets, there are relatively few data sets for network intrusion detection. KDDCUP-99 remains the dataset most utilized for IDS assessment. Numerous experiments on ML-Machine Learning based IDS utilizing KDD or enhanced KDD models. Dataset CSE-CICIDS-2018, is used in this paper which contains the most cutting-edge basic system threats. We employ an Intrusion Detection System with Machine Learning Based (Random Forest) for CSE-CIC-IDS-2018 provides an exceptional score with Accuracy score 99%.
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2,793
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Please write an abstract with title: Fabrication of Superhydrophobic Groove Arrays with Wire Electrochemical Machining, and key words: Fabrication, Automation, Wires, Surface morphology, Morphology, Electrochemical machining, Surface roughness. Abstract: In this paper, the superhydrophobic groove arrays were fabricated with wire electrochemical machining when selecting stainless steel as the experimental substrate. A multi-scale composite rough structures were fabricated on stainless steel substrates by WECM in a optimal parameters. After being modified by the fluoroalkylsilane, a water contact angle on the stainless steel surfaces was more than 150°, which proved superhydrophobic. By varying the center-to-center spacing, we can regulate the surface morphology and the wetting properties. With the increase of the center-to-center spacing, the contact angles of the groove arrays on stainless steel substrate range from156° to 142°.
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2,794
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Please write an abstract with title: Design and Development of a Novel Lighting System for Car Wiper Arm Defects Inspection, and key words: Lighting, Inspection, Reflection, Light sources, Surface topography, Cameras, Shape. Abstract: Quality control is an essential process for production to ensure that the quality of products meets the expectations and requirements of the customer. In the production of the components for the car wiper system, a major and important component is the wiper arm. Defects on the wiper arm may bring negative impact on it's market value. Hence, defects inspection of the car wiper arms is essential and important to ensure a consistent quality. However there are still many challenges faced by the inspection system, including different types of defects, reflective surfaces, and false detection - including perfectly good parts wrongly classified as defective. A typical automated defect inspection has three major parts - image capture and processing, intelligent defect detection algorithm and finally, the lighting system. Therefore, this paper proposes a new lighting technique to help improve the defect detection of wiper arms. The goal of this new lighting system is to enhance the defects contrast and improve the accuracy of defects inspections in wiper. The accuracy of the proposed new lighting system is studied and compared with the standard direct lighting system. Our proposed new lighting was able to show an improvement of 12.50% on the set of wipers over the standard lighting system used previously.
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2,795
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Please write an abstract with title: Adaptable query evaluation using QBF, and key words: Query processing, Laboratories, Indium phosphide, Distributed computing, Information systems, Environmental economics, Costs, Delay, Buildings, Programming profession. Abstract: This work shows how to provide adaptable query evaluation using QBF, a query broker framework that provides a set of tools facilitating the design and implementation of query function in data-intensive distributed applications. The framework allows the use of multiple mechanisms to adaptively evaluate queries according to application requirements and its execution context. The smallest query evaluation unit built on the framework is called a query broker. Query brokers can be organized in hierarchies for evaluating distributed queries. This paper concentrates on the adaptability of query brokers so as to illustrate query processing strategies supported by QBF.
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2,796
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Please write an abstract with title: Automatic Modulation Recognition: A Few-Shot Learning Method Based on the Capsule Network, and key words: Modulation, Training, Signal to noise ratio, Convolution, Feature extraction, Data mining, Simulation. Abstract: With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy. However, aiming to obtain higher classification accuracy, DL requires numerous training samples. In order to solve this problem, it is a challenge to study how to efficiently use DL for AMR in the case of few samples. In this letter, inspired by the capsule network (CapsNet), we propose a new network structure named AMR-CapsNet to achieve higher classification accuracy of modulation signals with fewer samples, and further analyze the adaptability of DL models in the case of few samples. The simulation results demonstrate that when 3% of the dataset is used to train and the signal-to-noise ratio (SNR) is greater than 2 dB, the overall classification accuracy of the AMR-CapsNet is greater than 80%. Compared with convolutional neural network (CNN), the classification accuracy is improved by 20%.
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2,797
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Please write an abstract with title: Multilevel-Coded Pulse-Position Modulation for Covert Communications Over Binary-Input Discrete Memoryless Channels, and key words: Linear codes, Modulation, Memoryless systems, Reliability, Decoding. Abstract: We consider the problem of coding to ensure covert communication, which involves ensuring reliable communication between two legitimate parties while simultaneously guaranteeing a low probability of detection by an eavesdropper. Specifically, we develop an optimal low-complexity coding scheme that achieves the information-theoretic limits of covert communications over binary-input discrete memoryless channels (BI-DMCs). To justify our design, we first consider a regime in which information theory proves the possibility of covert communication without shared secret key and show the impossibility of achieving information-theoretic limits using linear codes without secret key. We then circumvent this impossibility by introducing non-linearity into the coding scheme through the use of pulse position modulation (PPM) and multilevel coding (MLC). This MLC-PPM scheme exhibits several appealing properties; in particular, for an appropriate decoder, the channel at a given level is independent of the total number of levels and the codeword length. We exploit these properties to show how one can use families of channel capacity- and channel resolvability-achieving codes to concretely instantiate a covert communication scheme.
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2,798
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Please write an abstract with title: JPEG2000 encoder architecture design with fast EBCOT algorithm, and key words: Algorithm design and analysis, Discrete wavelet transforms, Filters, Quantization, Transform coding, Encoding, Frequency domain analysis, Image coding, Pipelines, Feedback loop. Abstract: This paper presents an architecture design for JPEG2000 with a fast algorithm in EBCOT. The EBCOT algorithm takes advantages of resolution and SNR scalability together with a random access property, but its complexity also becomes the bottleneck of JPEG2000. In this paper, the authors proposed a fast algorithm that uses two speed-up methods for EBCOT context modeling. The gate counts of JPEG2000 design is about 105.9 K gate with TSMC 0.25 /spl mu/m technology. It can encode 4.2 million pixels per second at 40 MHz.
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2,799
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Please write an abstract with title: MBPC controller for UGV Trajectory Tracking, and key words: Space vehicles, Trajectory tracking, Wheels, Aerospace electronics, Trajectory, Kalman filters, Task analysis. Abstract: In this paper, the development of a tracking trajectories system for a skid-steering type agricultural vehicle based on predictive control is presented. Since the vehicle operates outdoors, a high precision measurement of the geolocation and orientation is needed, therefore, a Kalman filter was designed. That filter fusions the data of position and orientation from an inertial measurement unit (IMU), wheel encoders and GPS (Global Positioning System) mounted on the vehicle. On the other hand, for the autonomous tracking trajectories, two controllers were designed: first, a proportional controller for the linear speed, and second, a model based predictive controller (MBPC) for the vehicle heading angle. For the design of the MBPC, a dynamical model of the vehicle direction was obtained using a gray box modeling, additionally, an incremental state space model strategy was use to design and deploy the MBPC. Finally, the results show that the developed control strategy presents a good performance with a RMSE of 1.038m in tracking outdoor trajectories.
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