ID
int64 0
400k
| content
stringlengths 97
5.85k
|
|---|---|
3,000
|
Please write an abstract with title: Interactive Visualization of Ant Colony Optimization - Pathfinding on a Dynamic Grid, and key words: Visualization, Ant colony optimization, Technological innovation, Java, Particle swarm optimization, Intelligent systems. Abstract: Ant colony optimization (ACO) algorithms often prove effective and widely applicable for various problems, even in grid-based environments. However, from an outside perspective, the field of ACO and other swarm intelligence approaches may appear needlessly complex.This work should make the topic more approachable. It aims to enable newcomers and experienced researchers to quickly grasp and further develop solutions for ACO in grid-based environments. An open-source, Java-based simulation framework is presented, that allows other research or leisure-time projects to be implemented and executed more efficiently. Visualizing the resulting simulations can aid with understanding the basic principles and tweaking the underlying algorithms or parameters. Experiments have proven that the solution could produce pathfinding solutions in a grid environment using an example ACO-based algorithm. The corresponding algorithms are easy to implement using an abstract Java class that can be extended and used as a template. Furthermore, the visualization of the simulation is realized based on general principles that should make it intuitive and easy to understand. Future work based on this work should have all the necessary tools to create extensions or modifications as needed.
|
3,001
|
Please write an abstract with title: Suppression of longitudinal interference from railway and other sources into higher grade open wire telephone routes, and key words: Corona, Wires, Rail transportation, Transmission line measurements, Telephone sets, Surges, Surge protection. Abstract: With the high voltage 50 Hz electrification of certain main RSA Railway routes came the problem of induction of this low frequency and its harmonics into open wire carrier lines which run parallel to the railways. Because of the accurately balanced exposure and the immaculate construction of these open wire lines the effect of induction is primarily in the longitudinal or common mode sense. High Induced voltages, besides being personnel hazards, eventually results in degraded performance so it is necessary to break up each pair of wires into sections to limit this effect.
|
3,002
|
Please write an abstract with title: Ultimate performances of an all-optical sampler based on ultrafast saturable absorbers created by heavy ion irradiation, and key words: Optical pulses, Noise level, Optical noise, Pulse measurements, Performance analysis, Gallium arsenide, Detectors, Sampling methods, Fluctuations, Diode lasers. Abstract: We analyze the ultimate performances of an all-optical sampler based on ultrafast bulk GaAs saturable absorbers created by ion irradiation. The ion irradiation technique provides a unique way to adapt the sampler resolution to the optical pulse width since the absorber relaxation time can be adjusted over more than three decades with the irradiation dose. Subpicosecond time resolutions with pulse contrast of /spl sim/100 are achievable by using high irradiation doses. In standard conditions, the sampler noise performances are limited by the detector noise and sampling pulse amplitude fluctuations. Picosecond laser diode pulses with an average power of less than one microwatt are already measurable. The ultimate limit is imposed by the absorber luminescence shot noise.
|
3,003
|
Please write an abstract with title: System capabilities, requirements and design of the GDL gunfire detection and location system, and key words: Optical design, Image processing, Infrared detectors, Acoustic signal detection, Vehicles, Power system reliability, Real time systems, Infrared imaging, Signal detection, Optical sensors. Abstract: Using image processing techniques, the Gunfire Detection and Location (GDL) system detects gunfire and aims a suite of imagers at the muzzle flash point of origin. This detection and location function is critical for force and perimeter defense in densely populated areas as well as difficult operating environments such as a remote desert. This paper defines requirements of the GDL project. The GDL system is the result of research into using real-time image processing of mid-wave infrared imagery to detect gunfire and pin point its origin. Varieties of modern imagers are made available over the spectrum to aid an operator in assessing a detected signal. By using optical and acoustical methods, a design effort was launched to yield five vehicle based platforms. The hardware and algorithm used to implement the five basic functions is discussed in this paper. Issues such as component reliability, thermal issues, camera sensitivity operated during the daytime and nighttime, and optical design and bore sighting had to be united into a system designed to operate in the desert and powered from a high mobility multi-purpose wheeled vehicle (HMMWV). The design, construction and testing was conducted in nine months. The project has yielded a system architecture that will be further tested and refined in the next phase of this project. Experiences with the development phase of GDL and future directions are described in this paper.
|
3,004
|
Please write an abstract with title: Autonomous exploration and mapping in an unknown environment, and key words: Mobile robots, Navigation, Fuzzy systems, Robot sensing systems, Orbital robotics, Indoor environments, Real time systems, Testing, Robustness, Sonar. Abstract: This work presents an autonomous exploration strategy for mapping in an unknown indoor environment by mobile robot. A simple and real-time system is designed for detecting an open free space via a Bayesian update theory instead of pre-trained system or accurate sensing system. Reactive navigation scheme is applied to start the exploration by using a predefined hierarchical fused fuzzy system (HFFS). The performance of the proposed algorithm is tested via robot simulator and physical mobile robot Pioneer 2DX.
|
3,005
|
Please write an abstract with title: An Object Segmentation Approach For Mobile Lidar Point Clouds, and key words: Meters, Three-dimensional displays, Laser radar, Sensitivity, Clustering algorithms, Object segmentation, Sensors. Abstract: LiDAR sensors are used to percept a scene by its 3D point cloud data. But LiDAR sensor measurement data are not homogeneous, they have uneven density and subject to occlusion problems. And the technical challenge lies along object segmentation because well-known clustering methods can not perform well with stand-alone 3D point cloud data. In this study, an approach is proposed by defining two classes of objects that are ground and nonground objects. The points are labeled ground and nonground points for DBSCAN based method. Then, sensitivity is adjusted for each class to improve the segmentation performance of ground and non-ground objects. For the CCL based method, three bird's eye view matrices are derived from point cloud data. The first matrix is used to separate ground and nonground areas and to merge other two matrix results. The ER-CCL algorithm applied with a smaller sided cell for segmentation of ground objects and a bigger sided cell for segmentation of nonground objects. The presented approach is benchmarked with a DBSCAN based method and a CCL based method. The presented method outperforms the DBSCAN method by 4% and 13% and outperforms the CCL based method by 13% and %20 in v-measure and completeness clustering metrics, respectively. Overall, an approach is proposed to segment 3D terrains in an urban area with different segmentation methods.
|
3,006
|
Please write an abstract with title: PEARL: An Expert System for Power Supply Layout, and key words: Expert systems, Power supplies, Design automation, Artificial intelligence, Etching, Digital circuits, Design engineering, Power engineering and energy, Wiring, Routing. Abstract: The use of artificial intelligence (AI) expert systems technology has demonstrated its advantages with many new tools in the computer aided design (CAD) field. This paper describes how domain specific knowledge was integrated with a conventional CAD architecture to develop an expert system. The combination resulted in a tool that provides intelligent assistance to printed wiring board (PWB) layout designers. This CAD tool focuses entirely on the layout requirements of power supply circuits for PWBs. The system is called PEARL for Power-supply Expert Assisted Rule-based Layout. PEARL acts as an advisor to the layout designer, providing expert assistance with the placement of components on PWBs. It is presently being enhanced to provide etch routing assistance as well.
|
3,007
|
Please write an abstract with title: MicroWIP325: A Low-Area Architectural Design and Analysis of Processors for Wearable Technologies, and key words: Wrist, Terminology, Wearable computers, Very large scale integration, Throughput, Cyclones, Hardware. Abstract: With the rise of smart wearables came the need for very high processing power built into devices of small area as the size of your wrist. The acronym MicroWIP325 stands for 32-bit Microprocessor Without Interlocked 5 - Pipelines Stages with a Reduced Instruction Set Compiler (RISC). As of April 2017, MIPS32 Release 6 Architecture is existent and several authors have implemented this architectural design and also previous releases of MIPS in Field Programmable Gate Arrays (FPGA) such as Spartan – 03E, Spartan – 6. Through this paper we are focusing on the feasibility of hardware execution within the design space requirements of Xilinx Spartan – 07 (XC7S100-676FGGA-2) FPGA and Intel Cyclone V-E (5CEFA7F31C8N) FPGA, both of which are built using 28nm technology on a comparative study basis for the purpose of marking out design trade-offs between performance and synthesized area. The objective of this paper would be to help researchers and engineers to comprehend on a hardware device perspective with the findings mentioned in this paper in the form of simulations, synthesis and implementation reports generated by Xilinx Vivado and Intel Quartus Prime which includes timing and power analysis of the classical MIPS to realize the superior system for next-generation wearable devices.
|
3,008
|
Please write an abstract with title: A cost-effective amplifier for electromagnetic field strength measurement, and key words: Electromagnetic fields, Electromagnetic measurements, Broadband amplifiers, Antenna measurements, Broadband antennas, Electromagnetic radiation, Radiation detectors, Frequency measurement, Gain measurement, Spectral analysis. Abstract: Problems associated with high sensitivity electromagnetic radiation measurements arise when low levels of broadband radiated emissions are to be detected. Such measurements require expensive and sensitive equipment operating in a broad range of frequencies. This paper presents an inexpensive broadband amplifier designed to increase the overall gain of a measurement system consisting of a 50 ohm broadband antenna coupled to a 50 ohm input spectrum analyzer. Addition of the amplifier increases system gain by nearly 30 dB with insignificant degradation in the signal-to-noise ratio. The bandwidth of the system exceeds 1000 MHz, with the frequency ranging between 30MHz and 2.2GHz.
|
3,009
|
Please write an abstract with title: Circular Arcs Loaded on Monopole Antenna for 5G Emerging and Ka - band Applications, and key words: Wireless communication, 5G mobile communication, Bandwidth, Reflection coefficient, Telecommunication computing, Impedance, Uplink. Abstract: This paper presents Circular Arcs Loaded on Monopole Antenna for 5G Emerging and Ka - band communications. The optimized dimensions of the offered antenna are 9mm x 10mm x 1.575mm on Rogers RT/Duroid 5880 substrate. The proposed antenna comprises of a semicircular arc etched on right and left sides of the radiating element to strengthen the impedance bandwidth (IBW). The frequency range of the proposed antenna is of 27.20 to 36.92GHz and the impedance bandwidth is 9.72GHz and the reflection coefficient is |Sn| is less than -10dB. The peak simulated gain of the antenna is 6.25dBi and the peak radiation efficiency of the proposed design is 92.08%. As the proposed antenna has a wide bandwidth (BW) and the high radiation efficiency (η), the antenna covers 5G & Ka- band applications. Ka -band is mainly used for the communication with satellite, the frequency is suitable for the uplink frequency for satellite communications and the frequency also has good performance for the 5G applications. The proposed antenna is depicted and simulated using the HFSS software.
|
3,010
|
Please write an abstract with title: Cold testing of a high power gyroklystron-accelerator interface, and key words: Testing, Plasma accelerators, Klystrons, Transducers, Bifurcation, Frequency conversion, Plasma waves, Educational institutions, Radio frequency, Electron accelerators. Abstract: At the University of Maryland, we have been evaluating the use of gyroklystrons to drive RF accelerators (Latham et al., 2004). In order to use our 500 kV, 500 A system to energize a 17.136 GHz accelerator structure built by the Haimson Research Corporation (HRC) (Haimson and Mecklenburg, 1998), we need to construct an interface that converts the gyroklystron TE/sub 02/ output mode into two standard rectangular WR42 waveguide modes. This structure needs to support up to 80 MW of pulsed power (1 /spl mu/s pulses) in a high-vacuum (/spl sim/10/sup -8/ T) environment. The design and cold test results for this system will be presented.
|
3,011
|
Please write an abstract with title: Pedagogical Importance of Learner Interface in Web-Based e-Learning Content, and key words: Training, COVID-19, Electronic learning, Pandemics, Manuals, Information and communication technology. Abstract: e-Learning has been revolutionizing education system based on the concept of learning occurring at any time and any place. Today the whole world adopts their life to the concept called “new normal” due to COVID-19 pandemic. When applying the new normal idea to the education system, online education is more important than ever. At present, online learning is applicable not only to learn academic work but also it helps to learn extracurricular activities for students as well as conducting training sessions for employees. With no face-to-face instructions, e-Learning provides a safe and effective alternative to classroom learning. Therefore, carefully designed and attractive content is the success of an e-Learning program that can keep the audience focused and interested. Hence, evaluating the web-based e-Learning content is necessary. The evaluation process usually consists of pedagogical evaluation and content evaluation. This research study is mainly focused on automating the pedagogical evaluation component. In automating the pedagogical evaluation, identifying inconsistencies is the biggest challenge faced by pedagogical experts in the current manual reviewing process, because different institutions use different checklists to pedagogically evaluate their e-Learning content. Developing a calibrated checklist to be used in the pedagogical evaluation process is the solution. This calibrated checklist was devised based on studying existing checklists, followed by creating a questionnaire, and a survey conducted with pedagogical experts to identify the essential review factors considered in the pedagogical evaluation process. Analyzed survey results identified that, “Learner interface of the course” was the most important review factor. A simple and user-friendly interface is a key component in enhancing the quality of online courses. This paper focused on giving comparative clarification about factors considered under ‘Learner Interface’ in the web-based e-Learning content.
|
3,012
|
Please write an abstract with title: Exploring Patterns of Train Delay Evolution and Timetable Robustness, and key words: Delays, Rail transportation, Markov processes, Predictive models, Robustness, Biological system modeling, Data models. Abstract: Uncertainty affects the overall performance of railway systems. It can be captured tracking the successive departure and arrival events of trains at stations in the scheduled railways. Markov chains has shown to be an effective means to model variabilities in the departure and arrival delays of trains. The empirical data of actual operations are used to develop the Markov matrices. Transitions between delay states comprise the internal dynamics of running and dwelling processes in probabilistic terms, presenting particular patterns of deterioration, recovery and state keeping in the prevailing timetable setting. All these features conform to the practice of railway operations as well as train dispatchers and drivers. Hence, delay-based Markov chains becomes a simple and effective tool to predict delays in the following events of trains and distribution of delays over a longer period of time using simple performance measures. We have developed the homogeneous and non-homogeneous Markov models and tested their performances using the actual data collected in the Netherlands railway network. The analysis and evaluation show that the railway corridor considered in this study performs well and the corresponding Markov chain models can be used effectively to predict train delays and to evaluate timetable robustness. The outcomes of the homogeneous and non-homogeneous model are evaluated with respect to the observed data resulting that the non-homogeneous model performs better than the homogeneous model.
|
3,013
|
Please write an abstract with title: Research on semantic Web service-oriented MMFI for complex information registration, and key words: Semantic Web, Ontologies, IEC standards, ISO standards, Information resources, Web services, Helium, Metamodeling, Next generation networking, Service oriented architecture. Abstract: Information registration is a key problem in semantic Web service. Current registration standards are relatively weak in the description of complex relationship between information resources. The metamodel framework for interoperability (MMFI) is proposed in this paper to address this problem. The theoretical foundation of MMFI is metamodeling and ontology, which describe the common features of models in universe of discourse. Models based on the same metamodel or ontology can have certain extent of interoperation. MMFI provides a mechanism to record the relationship between metamodel and corresponding models, which contributes to the automatic discovery of compatible services. More specifically, MMFI for ontology registration defines a framework for registration and interoperation of ontology models, which then facilitate the interoperation of the other kind of models by means of common logical background.
|
3,014
|
Please write an abstract with title: Development of a directional gamma ray probe, and key words: Probes, Radiation detectors, Spectroscopy, Gamma ray detection, Gamma ray detectors, Chemical technology, Sensor phenomena and characterization, Plastics, Decontamination, Position measurement. Abstract: A radiation detector capable of providing both spectroscopic and directional information would allow users to more rapidly identify and localize radioactive sources, ultimately reducing the time spent in a radiation field. The directional gamma-ray probe (DGRP) described here is a unique, single-hand operated, portable, lightweight gamma detector for use in a high gamma-ray field. It contains two sensors, one providing directional information and the other for spectroscopy, which are housed in a plastic molded enclosure designed to meet weather resistant requirements and decontamination considerations. This paper will describe design features, software development and detector response of this novel radiation detector.
|
3,015
|
Please write an abstract with title: An multi-agents system to implement e-business, and key words: Multiagent systems, Automatic control, Data envelopment analysis, Electric variables control, Business communication, Data handling, Costs, XML, Information technology, Context modeling. Abstract: Although EDI (electronic data interchange) have provided a useful method to the automated message interchanging between enterprises, this method costs a lot of money and resources, there is a new technology named ebXML (electronic business using eXtensible Markup Language) BPSS (business process specification schema) which provides a more easy way to integrate the whole business process. EbXML BPSS supports the specification of the set of elements required to configure a runtime system in order to execute a set of ebXML business transactions. EbXML BPSS describes which message should be interchanged and how to interchange, and provides a set of specification for the process automation. In this study, we propose a federated multi-agents system, which can implement the business process, and describe a detailed mechanism to apply the BPS to a prototype implementation.
|
3,016
|
Please write an abstract with title: Autonomous Ticketing System with Bus Health Monitoring, and key words: Temperature sensors, Temperature measurement, Costs, Sleep, User experience, Hardware, Software. Abstract: The purpose of this article is to make public transportation significantly more accessible and to boost its usage. The existing systems in the majority of developing countries lack a properly centralized system capable of harnessing the power of technology to create a seamless user experience. Thus, our goal is to automate the bus ticketing and boarding procedure by utilizing digital tickets and streamlining the process for commuters. Additionally, we intend to focus on emergency response by monitoring all bus health metrics such as engine temperature, emissions, and driver drowsiness and reporting them immediately to the appropriate authorities. We also intend to monitor accidents and report them automatically to the nearest hospital and police station. This work seeks to accomplish all of the above under a single massively scalable umbrella, taking into account all possible scenarios such as internet outage, sensor malfunction, and so on. We want to accomplish this by splitting the scenario into three facets: the commuter facet, the bus facet, and the administrative facet. The commuter aspect is a React-based web application that lets users to view all nearby bus routes and book one accordingly. And pick between automatic payment, which deducts the fare immediately upon boarding the bus, or traditional payment options. The bus aspect will be comprised of hardware views that will record driver sleepiness and bus health information using a variety of sensors and actuators, as well as a CV model, and transmit it in real-time to a database via a microcontroller. Additionally, this aspect contains a React application that enables the conductor to keep track of all necessary bus details and ticket verification. The administrative facet will respond to any emergency SOS calls from the bus and will also keep track of any violations committed by the bus driver.
|
3,017
|
Please write an abstract with title: Ocean nutrient enhancer "takumi" engineering and model experiment for upending of long slender steel riser, and key words: Oceans, Steel, Sea surface, Surface discharges, Costs, Fatigue, Boats, Stress, Performance analysis, Analytical models. Abstract: The ocean nutrient enhancer (ONE) is composed of a spar type floating structure from which is suspended a 175 m long compliant steel riser. The ONE was installed at the center of Sagami-Bay in May 2003 for the purpose of discharging density controlled water, which is adjusted by mixing the up-welled deep ocean water (DOW) and surface water, into the euphotic surface layer, in order to investigate the effect of DOW for developing a new fishing ground. The Marino-Forum 21's ONE project was started in 2000. During the conceptual design stage, two types of ONE were studied to reduce the installation cost and site construction duration. One was called "fix riser type" and the other was "pin riser type". In the selection of the concept, the most important technical aspects were riser fatigue strength and strength during upending. At first, a ridged connection type was examined since the upending of an entire ONE was problematic because of its heavy top. Although the possibility of upending was confirmed by simulation, the concept was not selected. Further investigation indicated that the riser needed to have a very high fatigue strength and construction cost was very expensive. The "pin riser type" was finally selected. One of the most difficult technical challenges was that the riser is installed by the upending method. The entire length of the riser is prefabricated at the yard and towed to the site by hanging from a spar buoy and with two additional barges supporting horizontally. At the site, the riser is set to an upright position by the free fall upending method. There was the possibility that a very large bending stress may occur during free fall upending due to the riser's large diameter and weight. The model basin study was performed to establish and confirm the analytical method to simulate suitable riser behavior during towing, installation, operating and especially during free fall upending
|
3,018
|
Please write an abstract with title: A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet, and key words: Fault diagnosis, Vibrations, Employee welfare, Time-frequency analysis, Neural networks, Feature extraction, Wavelet packets. Abstract: Compared with the traditional bearing fault diagnosis methods, the convolution neural network (CNN) can automatically extract features. However, the construction of CNN model usually needs a large dataset, and it is very timeconsuming to train a CNN model. To address this issue, a feature transferring fault diagnosis method is proposed. Firstly, raw signals are decomposed into sub-signals of different frequencies by wavelet packet decomposition, and the subsignals are refactored into a new signal in order to filter noise. Secondly, 2D time-frequency images are constructed by the frequency slice wavelet transform to enhance signal feature. Finally, the proposed model is trained to identify classification. The effectiveness of proposed method is verified on the famous motor bearing data provided by the Case Western Reserve University.
|
3,019
|
Please write an abstract with title: Further results on AMM for endmember induction, and key words: Hyperspectral sensors, Hyperspectral imaging, Pixel, Image segmentation, Image analysis, Laboratories, Detectors, Independent component analysis, Remote sensing, Clustering algorithms. Abstract: Our main interest is to perform unsupervised segmentation of the hyperspectral images. Our approach is to interpret abundance images resulting from spectral unmixing as the characterization of regions in the image. We induce the endmembers needed for spectral unmixing from the image data. Therefore the endmember spectra are not easily interpretable as laboratory spectra. Our method for endmember induction looks at the morphological independence or the endmembers as a necessary condition. We use the Autoassociative Morphological Memories (AMM) as detectors of morphological independence conditions. Our algorithm needs only one pass of the image. The experimental results obtained over a set of synthetic images are presented here, contrasted with the ICA and CCA approaches.
|
3,020
|
Please write an abstract with title: Gyro and Accelerometer Panel 60 Years of IEEE Standards, and key words: Accelerometers, Industries, Measurement units, Inertial sensors, Inertial navigation, IEEE Standards, Gyroscopes. Abstract: For 60 years the Gyro and Accelerometer Panel (GAP) has developed inertial sensor and system standards to provide a common language, and guidance to allow the inertial industry to communicate effectively across numerous applications and fields. GAP members represent a diverse cross section of the inertial industry, to include users, producers, and those with general interest in inertial sensors and systems from around the world. The GAP has developed 14 standards to date, with more to come in the future. Current standards cover various gyro, accelerometer, and inertial system technologies. Soon, a new standard for inertial measurement units will be published, and will be followed by a similar standard for inertial navigation systems. GAP standards are developed with the aid of volunteers, which could not be achieved without the inertial communities’ involvement.
|
3,021
|
Please write an abstract with title: An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment, and key words: Logistics, Dispatching, Optimization, Costs, Companies, Electronic commerce, Vehicle dynamics. Abstract: Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction and optimization for delivery operations are required for optimal logistics management. This paper presents an advanced logistics service, which warrants dynamic coordination among all the actors in the smart logistics environment. The proposed advanced shipping system consists of two main parts: the delivery prediction model to compute the expected arrival time, and a hybrid optimization model to tackle path issues. We demonstrate that the advanced system consistently outperforms conventional standard dispatching methods, which means that the proposed approach effectively contributes to optimizing the distribution chain and reducing costs.
|
3,022
|
Please write an abstract with title: Energy data anomaly detection based on association rule data mining, and key words: Training, Correlation, Databases, Signal processing algorithms, Predictive models, Signal processing, Data models. Abstract: In recent years, the world has seen rapid advances in science and technology, and the level of automation in power plants has increased. Modern power plants generate huge amounts of data every hour, which are stored in real-time databases. Due to the complexity of modern power plants and the diversity of their operating characteristics, these data include very rich but difficult to be discovered knowledge, which makes the operation and management of power plants and fault diagnosis cannot be carried out in a timely and effective manner, seriously affecting the status monitoring and diagnosis of important auxiliary equipment such as power plant fans and pumps, and cannot meet the requirements of ensuring the safe and reliable operation of auxiliary equipment. In order to effectively monitor the auxiliary equipment of power plants and predict the occurrence of faults in a timely manner, this paper uses association rule data mining to establish a model for training based on obtaining a large amount of actual historical operation data in the database of a power plant, and uses the existing operation data for model testing, so as to determine whether the equipment is in the process of fault formation. The results show that using the historical operation data of the equipment and adopting association rules for analysis can effectively reflect the relationship between the measured values and thus achieve the purpose of fault early warning.
|
3,023
|
Please write an abstract with title: Space vector modulation and control of a unidirectional three-phase/level/switch VIENNA I rectifier with LCL-type AC filter, and key words: Switches, Rectifiers, Power harmonic filters, Total harmonic distortion, Circuit analysis, Algorithm design and analysis, Equations, Harmonic analysis, Analytical models, Delay. Abstract: This paper presents a novel three-level space vector modulation method applied to a vector controlled VIENNA I rectifier with LCL-type AC filter. The principle modulation algorithm operation, basic assumptions and restrictions due to the main circuit are analysed in case of conventional L filter. Then the analysis is extended to include the LCL filter. On the basis of the key equations derived from the system examined, the vector control system is realised. The theoretical analysis of the proposed modulation technique and vector control system is verified by Simplorer and Matlab Simulink simulations, taking into consideration the total harmonic line current distortion, the losses in the active and passive components, delays and switching transients of the semiconductor devices. The rectifier system is designed to operate at a nominal DC link output power of 50 kW, DC link voltage 650 V and applied switching frequency 3.5 kHz. The LCL filter is designed so that the total harmonic line current distortion is 1% while the rectifier current distortion is 4%.
|
3,024
|
Please write an abstract with title: An all-digital timing recovery scheme for voiceband data modems, and key words: Timing, Modems, Clocks, Sampling methods, Hardware, Frequency synchronization, Counting circuits, Digital signal processing, Transmitters, Filtering. Abstract: The paper describes a method for recovering the baud timing in digitally implemented modem receivers when the sampling clock of the A/D converter at the receiver input is fixed. The all-digital scheme is particularly well suited for the implementation of high-speed voiceband modems on a powerful digital signal processor (DSP). It has the advantage of simplifying the analog front end (AFE) hardware and the interface between the AFE and the DSP. The scheme has been implemented in hardware as part of a 2400 bps full duplex voiceband modem. Its measured performance is equivalent to that of the standard approaches.
|
3,025
|
Please write an abstract with title: Realizable Reference Antiwindup Implementation for Parallel Controller Structures, and key words: Harmonic analysis, Voltage control, Power system harmonics, Harmonic distortion, Windup, Transfer functions. Abstract: Parallel controller structures are often used for the control of harmonic components in those power converters, including harmonic-compensation functions. The controlled signal can be distorted during the voltage saturation of the power converter output. This article proposes an implementation of the realizable reference antiwindup technique suitable for parallel controllers in multiple reference frames. The proposed implementation is simple and does not require a particular type of controllers nor special controller arrangements. The proposed implementation can be used for any kind of linear controller structure regardless of the variables being controlled. In the context of harmonic current controllers, the antiwindup implementation allows separating the harmonic controller outputs for canceling or decreasing them during steady-state saturation to improve the waveform quality. Different saturation options are analyzed for the inner loop current controller of grid-forming converter applications.
|
3,026
|
Please write an abstract with title: Mechanisms for Hiding Sensitive Genotypes With Information-Theoretic Privacy, and key words: Genomics, Bioinformatics, Hidden Markov models, Data privacy, Privacy, Genetics, Sequential analysis. Abstract: Motivated by the growing availability of personal genomics services, we study an information-theoretic privacy problem that arises when sharing genomic data: a user wants to share his or her genome sequence while keeping the genotypes at certain positions hidden, which could otherwise reveal critical health-related information. A straightforward solution of erasing (masking) the chosen genotypes does not ensure privacy, because the correlation between nearby positions can leak the masked genotypes. We introduce an erasure-based privacy mechanism with perfect information-theoretic privacy, whereby the released sequence is statistically independent of the sensitive genotypes. Our mechanism can be interpreted as a locally-optimal greedy algorithm for a given processing order of sequence positions, where utility is measured by the number of positions released without erasure. We show that finding an optimal order is NP-hard in general and provide an upper bound on the optimal utility. For sequences from hidden Markov models, a standard modeling approach in genetics, we propose an efficient algorithmic implementation of our mechanism with complexity polynomial in sequence length. Moreover, we illustrate the robustness of the mechanism by bounding the privacy leakage from erroneous prior distributions. Our work is a step towards more rigorous control of privacy in genomic data sharing.
|
3,027
|
Please write an abstract with title: Auto-Predication of Critical Branches, and key words: Out of order, Simulation, Scalability, Pipelines, Computer architecture, Performance gain, Parallel processing. Abstract: Advancements in branch predictors have allowed modern processors to aggressively speculate and gain significant performance with every generation of increasing out-of-order depth and width. Unfortunately, there are branches that are still hard-to-predict (H2P) and mis-speculation on these branches is severely limiting the performance scalability of future processors. One potential solution to mitigate this problem is to predicate branches by substituting control dependencies with data dependencies. Predication is very costly for performance as it inhibits instruction level parallelism. To overcome this limitation, prior works selectively applied predication at run-time on H2P branches that have low confidence of branch prediction. However, these schemes do not fully comprehend the delicate trade-offs involved in suppressing speculation and can suffer from performance degradation on certain workloads. Additionally, they need significant changes not just to the hardware but also to the compiler and the instruction set architecture, rendering their implementation complex and challenging.In this paper, by analyzing the fundamental trade-offs between branch prediction and predication, we propose Auto-Predication of Critical Branches (ACB) - an end-to-end hardware-based solution that intelligently disables speculation only on branches that are critical for performance. Unlike existing approaches, ACB uses a sophisticated performance monitoring mechanism to gauge the effectiveness of dynamic predication, and hence does not suffer from performance inversions. Our simulation results show that, with just 386 bytes of additional hardware and no software support, ACB delivers 8% performance gain over a baseline similar to the Skylake processor. We also show that ACB reduces pipeline flushes because of mis-speculations by 22%, thus effectively helping both power and performance.
|
3,028
|
Please write an abstract with title: Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning, and key words: Training, Automation, Conferences, Neural networks, Training data, Task analysis, Robots. Abstract: In this work, a neural network is trained to simultaneously perform segmentation and pixel-wise Out-of-Distribution (OoD) detection, such that the segmentation of unknown regions of scenes can be rejected. This is made possible by leveraging an OoD dataset with a novel contrastive objective and data augmentation scheme. By including unknown classes in the training data, a more robust feature representation is learned with known classes represented distinctly from those unknown. In comparison, when presented with unknown classes or conditions, many current approaches for segmentation frequently exhibit high confidence in their inaccurate segmentations and cannot be trusted in many operational environments. We validate our system on a real-world dataset of unusual driving scenes, and show that by selectively segmenting scenes based on what is predicted as OoD, we can increase the segmentation accuracy by an IoU of 0.2 with respect to alternative techniques.
|
3,029
|
Please write an abstract with title: Research on Photovoltaic Cell Models: A Review, and key words: Maximum power point trackers, Computational modeling, Mathematical models, Data models, Nonlinear dynamical systems, Impedance, Integrated circuit modeling. Abstract: To carry on the theoretical analysis and practice verification to the photovoltaic (PV) power generation system, the accurate model of the PV cell should be established first. Nowadays, a large number of scholars at home and abroad have carried out research on PV systems and PV cells, and have made a lot of breakthroughs and innovations in mathematical and circuit model optimization, maximum power point tracking (MPPT), and parameter extraction methods of PV cells. However, the model used cannot be completely compatible with the required precision, computational complexity, and environmental conditions. In this paper, the circuit models, mathematical models, and parameter extraction method of nine commonly used PV cells are reviewed, and the engineering simplified model and shading model of PV cells are reviewed. The above are the steady-state models of PV cells, but the maximum power point tracking is a dynamic optimization process. Therefore, the dynamic characteristics of PV cells (especially the small-signal output impedance) are summarized in this paper. Then a method is proposed which is different from the traditional PV cell model classification, that is to say, all the above models are nonlinear PV cells, which need complex iteration and calculation to extract parameters and research. Therefore, this paper summarizes the linearization model proposed by scholars. By comparing all the above models, a series of conclusions are drawn. Finally, the future development direction of PV cells has prospected. The research results can lay a model foundation for the wide application of PV cells.
|
3,030
|
Please write an abstract with title: A novel integer frequency offset estimator for OFDM, and key words: Frequency estimation, OFDM, Maximum likelihood estimation, AWGN, Performance analysis, Frequency domain analysis, Computer simulation, Additive white noise, Fading, Computational modeling. Abstract: A novel estimator for integer frequency offset estimation of OFDM systems is derived, which is based on maximum likelihood (ML) technique and exploits the differential information between two consecutive OFDM data symbols sequences in frequency domain. The reason why the ML estimator has better performance than the conventional method is analyzed. The effects of integer frequency offset, system parameters, and differential PN sequence on the performances of the two estimators are analyzed. How to select the differential sequence is also studied. By computer simulations, the performance of the ML estimator is compared with that of the conventional method for the additive white Gaussian noise (AWGN) channel and a multipath fading channel. The simulation results are in good agreement with the analytical study.
|
3,031
|
Please write an abstract with title: Control of the Furuta pendulum based on a linear differential flatness approach, and key words: Adaptive control, Proportional control, Trajectory, Pi control, State feedback, PD control, Open loop systems, Control systems, Torque control, Gravity. Abstract: In this article, we present a flatness based control approach for the stabilization and equilibrium-to-equilibrium transfers, via trajectory tracking, of the Furuta pendulum. We introduce three feedback controller design options for the stabilization and rest-to-rest trajectory problems; a direct pole placement approach, a hierarchical high-gain approach and generalized proportional integral (GPI) approach, based only on measured inputs and outputs.
|
3,032
|
Please write an abstract with title: Status of the NIST "electronic kilogram" experiment, and key words: NIST, System testing, Superconducting coils, Wheels, Uncertainty, Electric variables measurement, Quantum mechanics, Superconducting device noise, Copper, Magnetic fields. Abstract: The National Institute of Standards and Technology (NIST) has rebuilt the apparatus and facilities for the watt balance experiment. The goal is to electronically monitor the SI kilogram at an uncertainty of 10 nW/W. We discuss the design changes and available test results to illustrate the improvements of the system.
|
3,033
|
Please write an abstract with title: Niobium Neuron: RSFQ Based Bio-Inspired Circuit, and key words: Neurons, Integrated circuit modeling, Analog-digital integrated circuits, Superconducting integrated circuits, Neuromorphics, Very large scale integration, Niobium. Abstract: Neuromorphic and bio-inspired circuits have reached considerable attention since Moore's Law is coming to its limitations. Information processing in mammalian brains takes place in a far more energy-efficient manner and significantly faster than in the best computing architecture nowadays. We propose an approach to bring those benefits to a superconducting information processing circuit. Since the computation in a neuronal network is considered as analogue and the computation as digital, the design is grown around a Josephson comparator with its inherent non-linearity in the transfer function as the central information processing unit. Furthermore, a modified version of the Josephson Transmission Line is used to realize an adaptable coupling between neuron cells. This circuit design benefits of the noise in a 4.2 K environment and is therefore more resilient to noise and switching errors than conventional digital circuits. The proposed circuit behavior in a 2-neuron configuration and the integration in a network topology will be investigated.
|
3,034
|
Please write an abstract with title: Motion planning using Maxwell's equations, and key words: Maxwell equations, Motion planning, Navigation, Computational modeling, Robotic assembly, Computer science, Mobile robots, Conductivity, Magnetic fields, Current. Abstract: This paper presents a new formulation of the artificial potential approach to the motion planning problem for a mobile robot in a global environment. To model the potential (magnetic) field by Maxwell's Equations that completely eliminate the local minima problem, which is exhibited in most artificial potential methods, such as Harmonic functions based methods. However, the proposed model is superior to the Harmonic one because it is easily extendable to 3D, the time dimension is modeled by default which means it is a suitable model for time-varying environments, computations are less and hence faster, and most important it eliminates the "flat-regions" problem. In this work, electrical currents are assumed to be floating in a cluttered environment with obstacles. The obstacles are assigned zero conductivity whereas the goal point is assigned the highest electrical conductivity. The magnetic field induced by the electric currents is used to find a free path between the start and goal points. Simulation results reflects the validity and the potential of the proposed model.
|
3,035
|
Please write an abstract with title: Why Did Mr. Trump Oppose Globalization? An E-CARGO Approach, and key words: Globalization, Investment, Government policies, Trump, Donald, Optimization, Trade agreements. Abstract: Everybody knows that Mr. Donald Trump, the 45th President of the United States of America (USA), was against globalization. There are numerous arguments about this topic around the world among renowned politicians and economists. This article presents a new viewpoint from group multirole assignment (GMRA). In this article, we establish a model for simulating the assignment of grand capitals over the world with the help of the Environments—Classes, Agents, Roles, Groups, and Objects (E-CARGO) model and the GMRA model. To support the conclusions, we simulate the situations of globalization and nonglobalization, compare, and analyze the simulation results with a revised GMRA (RGMRA) model. This article contributes a new formalization of a new role assignment problem (RGMRA), a novel way to study globalization, and a clear and evident conclusion that globalization is not beneficial for the USA from the point of view of capital investment.
|
3,036
|
Please write an abstract with title: The optimization game: Mobility and Edge computing in dense networks, and key words: Cloud computing, Costs, Quality of service, Games, Mobile applications, Internet of Things, Portals. Abstract: The rise of mobile computing in the recent decades has given rise to a plethora of applications that are used everyday by millions of users. As these mobile applications have become more sophisticated, they have also become more resource intensive often requiring a fair share of computing resources and energy. Over the years, this requirement has been met with intelligent computation offloading to the edge and cloud with the devices themselves acting as portals to the data. However, as users move around while consuming services on their devices, the edge computing framework needs to move around based on the user’s present location in order to maintain the quality of service (QoS). While frequent migrations are required to maintain the QoS, the cost of such migrations add to the overall cost for the provider. As the movement of users across a service provider’s coverage area is unpredictable, we propose a computation offloading game to determine offloading decision process that is independent of any particular node and requires no a priori knowledge of the user’s future location. Our extensive analysis shows that our mechanism achieves efficient offloading performance and scales well with the system.
|
3,037
|
Please write an abstract with title: Multi-View Evolutionary Training for Unsupervised Domain Adaptive Person Re-Identification, and key words: Training, Task analysis, Adaptation models, Feature extraction, Data models, Clustering algorithms, Standards. Abstract: Clustering-based approaches have been successfully applied to unsupervised domain adaptation (UDA) tasks for person re-identification (Re-ID), where no annotations are provided in target domain. However, the clustering process is sensitive to noises, leading to imperfect pseudo labels that could damage the training performance. In this work, we propose a Multi-view Evolutionary Training (MET) method to effectively reduce noises in clustering results from two dimensions. First, to improve the clustering accuracy at each time frame (i.e. snapshot quality), a Multi-view Diffusion (MvD) module is proposed. Through capturing data relationships from multiple viewpoints and aggregating their information, noises and bias from each individual viewpoint can be eliminated, and more reliable similarity matrix can be produced for clustering. Second, to improve the temporal consistency between clustering at different iterations, i.e. temporal consistency, we propose an Evolutionary Local Refinement (ELR) module, which utilizes the previous clustering results to guide and improve current results, and further make the training process more stable and robust. Extensive experiments demonstrate that our method can provide clustering results with high quality, and achieve state-of-the-art performance on UDA Re-ID.
|
3,038
|
Please write an abstract with title: Efficient query evaluation on large textual collections in a peer-to-peer environment, and key words: Query processing, Peer to peer computing, Search engines, Information retrieval, Web pages, Cost function, Streaming media, Web search, Bandwidth, Computational Intelligence Society. Abstract: The authors studied the problem of evaluating ranked (top-k) queries on textual collections ranging from multiple gigabytes to terabytes in size. The authors focused on the case of a global index organization in a highly distributed environment, and consider a class of ranking functions that includes common variants of the Cosine and Okapi measures. The main bottleneck in such a scenario is the amount of communication required during query evaluation. Several efficient query evaluation schemes were proposed and their performances were evaluated. The results on real search engine query traces and over 120 million Web pages show that after careful optimization such queries can be evaluated at a reasonable cost, while challenges remain for even larger collections and more general classes of ranking functions.
|
3,039
|
Please write an abstract with title: The rapid Land Use and Land Cover change analysis using the Sentinel-2 images in Google Earth Engine: A Case Study of Xiong’an New Area from 2017 to 2020, and key words: Earth, Roads, Climate change, Vegetation mapping, Land surface, Radiometry, Internet. Abstract: Land Use and Land Cover (LULC) are the basic units of human activities and also serve as the significant factors to assess the climate change studies and environmental protection. Therefore, it is of significance to accurately and timely obtain the LULC maps on the earth’s surface, in particular for those regions where dramatic LULC changes are undergoing. Since 2017 April, a new state-level new area, Xiong’an New Area, was established in China, which would inevitably lead to some LULC changes in this region. In order to better understand what kinds of LULC change in this region with more details and further evaluate the potential impacts that the LULC changes will bring, this study makes full use of the 10-m multi-temporal Sentinel-2 images on the cloud-computing Google Earth Engine (GEE) and the powerful classification capability of Random Forest (RF) models, to generate the continuous LULC maps in Xiong’an New Area from 2017 to 2020. The derived LULC map for each year in Xiong’an New Area achieves high accuracy, with OA and Kappa values less than 0.9. Based on the obtained LULC maps, this study analyzed the spatial and temporal changes of LULC types in the last four years. It revealed that the estimated dry farmland has decreased from 2017 to 2018 and then kept almost stable, and the majority of it has converted to non-cropland, especially to the tree seedlings and landscape dual-use regions. The estimated impervious areas that were mainly composed of buildings and transport infrastructures first increased due to the newly constructed Xiong’an Station with some high-speed roads and then decreased from 2019 to 2020, mainly due to the relocation of some small villages. Accordingly, some building groups and aggregations were going to show in this region, and are expected to further developed in the future. Other LULC types such as lakes and forests have not changed dramatically, indicating that the environmental protection in Xiong’an New Area was, to date, satisfactory. The obtained 10-m and 4-year LULC maps in this study can provide some valuable information on the monitoring and understanding of what kinds of changes were and will be undergoing in Xiong’an New Area, and can also be used for evaluating the potential impacts and challenges such as environmental protection. Additionally, the utilization of GEE and the multi-temporal 10-m Sentinel-2 images can help to achieve LULC mapping in this region in an accurate and timely manner, which can be used in future studies.
|
3,040
|
Please write an abstract with title: Stability simulations of cryostable superconductors under transient mechanical perturbations, and key words: Stability, Superconductivity, Current measurement, Magnetic field measurement, Heat recovery, Mechanical variables measurement, Superconducting coils, Temperature, Energy measurement, Length measurement. Abstract: An experimental technique has been established to simulate the transient mechanical perturbation and to measure the minimum propagating current of a cryostable superconducting coil. The experimental setup is described. Typical waveforms of potential profiles across the normal zone and temperature profiles of the normal zone for both the propagating and recovery conditions are shown. Also presented are the measured recovery currents versus the perturbation energy under various external magnetic field strengths, heater lengths and heating durations. These data will be discussed and compared with data computed from a theoretical model.
|
3,041
|
Please write an abstract with title: Combining Max Pooling and ReLU Activation Function in Stochastic Computing, and key words: Power demand, Conferences, Convolutional neural networks. Abstract: In the convolutional neural networks (CNNs) based on stochastic computing (SC), the design of pooling layer is always a key point. Although some SC-based CNNs have been proposed, the circuit output accuracy of pooling layer is not ideal at present. Besides, the pooling layer takes most of the area and power consumption. In this paper, we propose a new kind of SC ReLU with feedback and a combined scheme of SC ReLU and max pooling. The previous one improves the circuit output accuracy of SC ReLU while the latter one saves nearly 25% of the area and power consumption.
|
3,042
|
Please write an abstract with title: A channel allocation model with preemptive priority for integrated voice/data mobile networks, and key words: Channel allocation, Bandwidth, Traffic control, Quality of service, Mobile communication, Analytical models, Telecommunication traffic, Mobile computing, Wireless communication, Resource management. Abstract: This paper presents an analytical model of channel allocations with preemptive priority to study the handoff performance for integrated voice/data mobile networks. By analyzing the system as a quasi-birth-and-death process, we obtain the steady state probabilities and some interesting performance measures, such as new voice (new data) blocking probability, handoff voice (handoff data) dropping probability, the channel utilization, and the busy period time in the cell. From the analysis and numerical results, we can conclude that our scheme can provide complete service differentiation and different QoS guarantee for different traffic classes, and get pretty good channel utilization by appropriate threshold parameter design. The performance measures obtained in the paper are very useful in evaluating the needed resource of future wireless mobile networks.
|
3,043
|
Please write an abstract with title: Ultra-stiff, low mass, EM gun design, and key words: Boring, Solids, Manufacturing processes, Plasmas, Low voltage, Rails, Compressive stress, Large-scale systems, Assembly, Railguns. Abstract: High performance in an electromagnetic (EM) gun implies high velocity with minimal transition from a solid to plasma armature. Factors that affect gun performance include armature integrity, bore straightness and bore stiffness. Experiences firing solid armature at CEM-UT since 1987 have shown that the lack of one or more of these three ingredients will result in less than desirable performance. This paper presents a simple, ultra-stiff and low mass EM gun design that provides five to six times the rail-to-rail structural stiffness than a conventional bolted, composite sidewall-type EM gun construction. This translates into minimal bore deflection which lessens the amount the armature must distort to maintain a low voltage contact with the rails. The EM gun design incorporates a passive preloading mechanism that maintains a compressive stress state in the bore components without the use of hydraulics. Bore preload is provided that exceeds the maximum rail-to-rail EM loads and is reacted by a composite structure that also provides longitudinal barrel stiffness. Manufacturing techniques are presented that would allow the design to be built on a small or large scale using standard manufacturing tolerances and demonstrated assembly processes. Material selection and impact on the ability to actively cool a railgun is also presented.
|
3,044
|
Please write an abstract with title: Application of Bellman's Equation in Ant-Like Robotic Device Path Decisions, and key words: Machine learning algorithms, Message passing, Mathematical model, Particle swarm optimization, Robots, Convergence, Recruitment. Abstract: Swarm Intelligence is about emergency of collective intelligence from groups of homogeneous robotic devices deployed for a purpose. Ant Colony Systems, in particular, are inspiring. They commonly have drawn inspiration from the behaviors of real ants in nature in order to construct routes between the food sources and the nest. There are still gaps in alternative options for path decision in ant agents. Bellman's equation has been successfully used to solve path decision problems in machine learning. We proposed to investigate impact of a Bellman's equation inspired algorithm for path decision on stigmergic ant agent robotic devices. A design science research paradigm was used to design our research experiment in which a simulated environment was designed to simulate the behavior of ant agents when using a Bellman's equation inspired algorithm for path decision. We introduced a reward function to the orientation process of ant agents. Reward function rewards a decision made when an ant moves from one point to an adjacent cell. The Bellman's inspired algorithm for ant orientation led to convergence of ant agents even though there was reduced quality of convergence. Evaluation of results show that Bellman's equation can be used in path decision processes for ant agent robotic devices. Our results contributed to adding an alternative way of implementing path decision for ant agents. This will help in growing the knowledge around ant agents and finding better ways to implementing path decisions for ant agents.
|
3,045
|
Please write an abstract with title: Non-Recursive Channel Prediction for TDD Massive MIMO Systems, and key words: Downlink, Channel estimation, Massive MIMO, Complexity theory, Kalman filters, Predictive models. Abstract: Multi-user broadcast downlink communication where the Base Station (BS) is equipped with massive array of antenna elements serving multiple users (MU-MIMO) is a key enabler for realizing increased spectral and energy efficiencies in current and future wireless communication networks. For using complexity efficient signal processing techniques and yet achieving these promising gains, the availability of highly accurate Channel State Information (CSI) at the transmitter is a must. As the mobility of the served user and/or its surrounding environment increases, the CSI present at the transmitter becomes outdated, so if it was used for downlink transmission it would cause performance degradation due to residual inter-user interference In this paper a CSI prediction method is proposed, that uses exponentially weighted current and past channel measurements to efficiently predict the future channel realizations. A closed form lower bound expression for the rate per user is provided, moreover simulation results presented show the robustness of the proposed method against model mismatch and longer channel prediction horizons in comparison with other conventional methods.
|
3,046
|
Please write an abstract with title: Hardware Overclocking to Improve the Efficiency of Ethereum Cryptocurrency Mining, and key words: Conferences, Memory management, Graphics processing units, Voltage, Hardware, Timing, Cryptocurrency. Abstract: Mining task is remarkable by the high amount of resources, such as electrical power, which is needed for its execution. In order to reduce the amount of resources consumed, while maintaining high mining performance, the term of mining efficiency was introduced. This term considering both mining performance and consumed electrical power.In this paper we consider mining hardware overclocking in order to maximize mining efficiency. Overclocking methods are considered, such as increasing memory clock rate, decreasing core clock rate, decreasing hardware voltage. A complex technique is created that allows to apply the considered approaches in order to achieve maximum mining efficiency for a hardware system being overclocked.
|
3,047
|
Please write an abstract with title: A Multiscale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification, and key words: Electromyography, Feature extraction, Convolution, Task analysis, Gesture recognition, Decoding, Kernel. Abstract: The applications of myoelectrical interfaces are majorly limited by the efficacy of decoding motion intent in the electromyographic (EMG) signal. Currently, EMG classification methods often rely substantially on handcrafted features or ignore key channel and interfeature information for classification tasks. To address these issues, a multiscale feature extraction network (MSFEnet) based on channel-spatial attention is proposed to decode the EMG signal for the task of gesture recognition classification. Specifically, we fuse the spatiotemporal characteristics of the EMG signal with different scales. Then, we construct the feature channel attention module and the feature-spatial attention module to capture more key channels features and more key spatial features. To evaluate the efficacy of the proposed method, extensive experiments are conducted on two public data sets: 1) NinaPro DB2 and 2) CapgMyo DB-a. An average accuracy of 86.21%, 90.77%, 92.53%, and 98.85% has been achieved in Exercises B, C, and D of NinaPro DB2 and CapgMyo DB-a, respectively. The experimental results demonstrate that MSFEnet is more capable of extracting temporal and spatial fused features. It performs well in generalization and has higher classification accuracy compared with the state-of-the-art methods.
|
3,048
|
Please write an abstract with title: Lidar signal denoising using least-squares support vector machine, and key words: Laser radar, Signal denoising, Support vector machines, Electromagnetic scattering, Light scattering, Pulse measurements, Atmospheric measurements, Electromagnetic measurements, Atmosphere, Signal processing. Abstract: The noise in a Lidar signal is analyzed first, and then a novel method that applies least-square support vector machine (LS-SVM) to denoising Lidar signals is proposed. In order to improve the performance of denoising, the a priori knowledge about Lidar signals is also incorporated in the training of the LS-SVM. Finally, the experimental results demonstrate the effectiveness and efficiency of our approach.
|
3,049
|
Please write an abstract with title: Compact Interface Method Table Layout, and key words: Conferences, Layout. Abstract: This article describes a novel interface method table (IMT) layout approach, which allocates interface method tables inside virtual method table (VMT), allowing for table entries to be shared between VMT and multiple IMTs. Similarly to VMT layout inheritance for classes, a heuristical IMT layout inheritance scheme is implemented for interfaces. Unlike prior schemes, proposed “all or nothing” heuristic achieves considerable total table size reduction without any dispatch overhead. Together with combined layout of IMT and VMT, interface layout inheritance opens up even more opportunities for IMT layout reuse and total table size reduction. Application of all techniques outlined in this article results in a significant reduction of overall executable size.
|
3,050
|
Please write an abstract with title: Cascaded H-Bridge Converter Designs for Future Short-Range All-Electric Aircraft Propulsion, and key words: Power system measurements, Density measurement, Switching frequency, Voltage, DC-DC power converters, Frequency conversion, Inverters. Abstract: The cascaded H-bridge converter topology makes a high voltage power supply structure with distributed energy storage for all-electric aircraft possible. In this paper, different cascaded H-bridge converter topologies are compared regarding mass and efficiency, with a focus on the requirements for the energy storage in a battery-powered short-range aircraft.
|
3,051
|
Please write an abstract with title: Performance Enhancement in Full-Duplex AF Relay System through Smart Antenna Allocation, and key words: Wireless communication, Interference cancellation, Spectral efficiency, Simulation, Transmitting antennas, Full-duplex system, Resource management. Abstract: Energy efficiency (EE) and spectral efficiency (SE) are two crucial performance metrics for next-generation wireless standards. In this work, the SE and EE of a full-duplex (FD) relay system based on the amplify-and-forward (AF) scheme is investigated. Specifically, it has been shown that residual self-interference (RSI) due to imperfect self-interference cancellation (SIC) impacts the SE and EE of the FD relay system. A smart antenna allocation (AA) scheme has been proposed that enhances the SE and the EE of the FD relay system through optimally allocating the antennas at the FD relay. Further, the impact of relay location has also been studied and it has been shown that the SE and EE of the FD relay systems can be maximized through optimal AA scheme and relay location. The proposed analysis is corroborated through simulations, which are in good conformity with the analytical results.
|
3,052
|
Please write an abstract with title: A monolithic programmable speech synthesizer with voice recognition, and key words: Speech synthesis, Synthesizers, Speech recognition, Digital filters, Read only memory, Read-write memory, Hardware, Registers, Speech processing, Decoding. Abstract: A speech synthesizer which contains an 8b microprocessor, 65Kbits of ROM, an LPC-10 filter, 256bits of RAM and an ADC, will be described. Algorithms for both speech synthesis using linear prediction and speaker independent voice recognition can be implemented.
|
3,053
|
Please write an abstract with title: Study on the Application of Cloud Computing Technology in the Intelligent Home System of Internet of Things, and key words: Cloud computing, Internet of things, Smart home development. Abstract: The development speed of information technology is remarkable. At first, information technology only intervened a lot in the field of industry. Now, with the improvement of people’s overall economic level and the development of Internet technology, all kinds of emerging technologies have been widely used in various industries, and many families have bought relevant facilities, greatly improving the quality of life. The author attempts to combine the latest cloud computing technology to explore its application in the Internet of things smart home system, and make theoretical contributions to the development of smart home and the promotion of information technology in China, so as to meet people’s new needs for life.
|
3,054
|
Please write an abstract with title: PolSAR Image Classifiacation Based on Deep CNN and Adaboost, and key words: Adaptive boost (Adaboost), Synthetic Aperture Radar (PolSAR), Deep Learning, convolutional neural networks (CNNs), Support Vector Machine (SVM). Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) image classification aims at classifying resolution cells into homogeneous groups according to physical property. Deep learning is developing rapidly in the recent years and has been utilized in PolSAR classification. However, the utilization of the deep features is still limited, inadequate use of which makes convolutional neural networks (CNNs) suffer from over-fitting problem in small training dataset and produce unsatisfactory results. In this paper, a novel classification algorithm is proposed based on an Adaptive boost (Adaboost) deep learning method. The ensemble learning schedule is introduced to CNN, which enhances the robustness and adaptability of the deep mode. Besides, the novel model has less parameters, thereby equipping with better performance compared with the CNNs. The experimental results on real PolSAR dataset verify the effectiveness and the superiority of the proposed method, and demonstrate that it can provide stronger noise immunity and obtain smoother homogeneous areas in classification.
|
3,055
|
Please write an abstract with title: Multi-Task Transformer for Stock Market Trend Prediction, and key words: Computational modeling, Predictive models, Transformers, Market research, Multitasking, Data models, Natural language processing. Abstract: This paper presents a novel stock market prediction method by taking transformers’ advantages in analyzing the sequential data. The previous techniques usually tend to learn/understand the pattern of the market by analyzing the historical market data, while those patterns are very complex and implicit. To learn these patterns effectively, we cope with this challenge by leveraging deep neural models, i.e., transformers. We employ transformers to predict the stock trend. Since this kind of deep learning model needs a massive amount of data to be trained, the data paneling approach is hired to extend the dataset. Also, the multi-task technique is utilized to reduce the optimization searching space, which causing to speeding up the coverage and finding relatively optimal parameters and consequently improved accuracy. Note that the method of labeling the trend which is used in this paper is financially meaningful and more practical. Our proposed method has been evaluated on the real-world stock market, specifically the Iranian stock market, and the results confirm its effectiveness.
|
3,056
|
Please write an abstract with title: MAG+: An Extended Multimodal Adaptation Gate for Multimodal Sentiment Analysis, and key words: Sentiment analysis, Visualization, Bit error rate, Logic gates, Signal processing, Transformers, Acoustics. Abstract: Human multimodal sentiment analysis is a challenging task that devotes to extract and integrate information from multiple resources, such as language, acoustic and visual information. Recently, multimodal adaptation gate (MAG), an attachment to transformer-based pre-trained language representation models, such as BERT and XLNet, has shown state-of-the-art performance on multimodal sentiment analysis. MAG only uses a 1-layer network to fuse multimodal information directly, and does not pay attention to relationships among different modalities. In this paper, we propose an extended MAG, called MAG+, to reinforce multimodal fusion. MAG+ contains two modules: multi-layer MAGs with modality reinforcement (M3R) and Adaptive Layer Aggregation (ALA). In the MAG with modality reinforcement of M3R, each modality is reinforced by all other modalities via crossmodal attention at first, and then all modalities are fused via MAG. The ALA module leverages the multimodal representations at low and high levels as the final multimodal representation. Similar to MAG, MAG+ is also attached to BERT and XLNet. Experimental results on two widely used datasets demonstrate the efficacy of our proposed MAG+.
|
3,057
|
Please write an abstract with title: BoxInst: High-Performance Instance Segmentation with Box Annotations, and key words: Training, Schedules, Computer vision, Annotations, Color, Pattern recognition. Abstract: We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training. While this setting has been studied in the literature, here we show significantly stronger performance with a simple design (e.g., dramatically improving previous best reported mask AP of 21.1% [13] to 31.6% on the COCO dataset). Our core idea is to redesign the loss of learning masks in instance segmentation, with no modification to the segmentation network itself. The new loss functions can supervise the mask training without relying on mask annotations. This is made possible with two loss terms, namely, 1) a surrogate term that minimizes the discrepancy between the projections of the ground-truth box and the predicted mask; 2) a pairwise loss that can exploit the prior that proximal pixels with similar colors are very likely to have the same category label.Experiments demonstrate that the redesigned mask loss can yield surprisingly high-quality instance masks with only box annotations. For example, without using any mask annotations, with a ResNet-101 backbone and 3× training schedule, we achieve 33.2% mask AP on COCO test-dev split (vs. 39.1% of the fully supervised counterpart). Our excellent experiment results on COCO and Pascal VOC indicate that our method dramatically narrows the performance gap between weakly and fully supervised instance segmentation.Code is available at: https://git.io/AdelaiDet
|
3,058
|
Please write an abstract with title: Reducing energy consumption of video memory by bit-width compression, and key words: Energy consumption, Video compression, Random access memory, Hardware, Energy dissipation, Video sequences, Permission, Power engineering and energy, Computer science, Encoding. Abstract: A new architectural technique to reduce energy dissipation of video memory is proposed. Unlike existing approaches, the technique exploits the pixel correlation in video sequences, dynamically adjusting the memory bit-width to the number of bits changed per pixel. Instead of treating the data bits independently, we group the most significant bits together, activating the corresponding group of bit-lines adaptively to data variation. The method is not restricted to the specific bit-patterns nor depends on the storage phase. It works equally well on read and write accesses, as well as during precharging. Simulation results show that using this method we can reduce the total energy consumption of video memory by 20% without affecting the picture quality.
|
3,059
|
Please write an abstract with title: Characterizing Disease Spreading via Visibility Graph Embedding, and key words: COVID-19, Infectious diseases, Pandemics, Conferences, Time series analysis, Urban areas, Big Data. Abstract: Gaining timely insights on real-world emergency events, such as infectious disease outbreaks, is critical for developing appropriate response strategies. In this work, we propose a data-driven approach to study the spreading dynamics of the global Covid-19 pandemic. Specifically, we aim to identify a set of most “similar” geographic regions as proxies for making predictions on a targeted location. Example predictions include the number of new cases, number of hospitalizations, and number of deaths. Such predictions can be made at different levels of regional granularities, including city, county, and state levels. Our approach starts by transforming regional time series into graph representations using the natural visibility graph (NVG) model in order to capture their intrinsic trends and properties. These graphs are then projected onto a common embedding space using graph-level network embedding techniques. Essentially, each time series is converted as a data point in a feature embedding space, where spatial proximity indicates similarity among time series. Given a targeted region, our approach can identify the most “relevant” geographic regions by finding its k-nearest neighbors in the embedding space. Subsequently, appropriate response strategies and policies (e.g., school shutdown, indoor dining restriction) can be adapted based on the success or failure experiences from relevant regions. Our approach will potentially provide valuable insights in mitigating the spreading of infectious disease.
|
3,060
|
Please write an abstract with title: Analysis of Conventional and Interleaved Boost Converter with Solar Photovoltaic System, and key words: Photovoltaic systems, Renewable energy sources, Voltage, Microgrids, DC-DC power converters, Electric vehicles, Power electronics. Abstract: The use of renewable energy sources has attracted significant interest due to their abundant availability and clean nature, as conventional generating stations are putting pressure on existing fossil fuel reserves. DC-to-DC boost converters are mostly used in solar photovoltaic systems. The output of PV is not fixed, it varies with temperature and irradiance value. When using a conventional boost converter, we get a high ripple in voltage. Interleaved Boost Converter is one type of power electronics converter with the help of which we get less ripple in output voltage, power, and input current as compared to the conventional boost converter. The analysis and design of conventional and two-stage IBC are presented in this paper. also, simulate a conventional boost converter circuit and two-stage IBC circuit with a P&O-based MPPT algorithm in MATLAB/Simulink. The performance of IBC and conventional DC-DC converters were analyzed and compared with each other. There is also the option that IBC's performance is superior to conventional boost converters for solar photovoltaic systems. Furthermore, we show the analysis and comparison between a conventional boost converter with a two-stage IBC with a solar photovoltaic system. We have found many benefits of two-stage IBC. Based on that analysis of the IBC associated with renewable energy systems, the system gets better performance. As a result, the system's overall performance and efficiency improved.
|
3,061
|
Please write an abstract with title: Path-Tracking Control Based on Deep ORB-SLAM2, and key words: Visualization, Navigation, Feature detection, Robot vision systems, Neural networks, Feature extraction, Mobile robots. Abstract: This paper proposes a mobile robot navigation control design based on deep vSLAM approach. The deep vSLAM system integrates ORB-SLAM2 with a deep neural network (DNN) to enhance the localization performance of an embedded navigation system. An RGB-D camera is utilized to realize the deep vSLAM system. In the proposed deep vSLAM algorithm, the DNN works to accelerate feature matching and feature detection steps in the original ORB-SLAM2. Further, we developed a path-tracking controller to navigate the robot on the planned path based on the vSLAM localization. Several interesting experiments are presented to validate the performance of the proposed method. The experimental results on a mobile robot show that the computation time of the DNN based feature matching is reduced to 45.16% of that of the original ORB-SLAM2, and the path-tracking error of a squared-shape path of 19.8m is within 20mm.
|
3,062
|
Please write an abstract with title: A Hybrid Filtered Basis Functions Approach for Tracking Control of Linear Systems with Unmodeled Nonlinear Dynamics, and key words: Linear systems, Maximum likelihood detection, Solid modeling, Three-dimensional displays, System dynamics, Computational modeling, Nonlinear filters. Abstract: A hybrid filtered basis function (FBF) approach is proposed in this paper for feedforward tracking control of linear systems with unmodeled nonlinear dynamics. Unlike most available tracking control techniques, the FBF approach is very versatile; it is applicable to any type of linear system, regardless of its underlying dynamics. The FBF approach expresses the control input to a system as a linear combination of basis functions with unknown coefficients. The basis functions are forward filtered through a linear model of the system's dynamics and the unknown coefficients are selected such that tracking error is minimized. The linear models used in existing implementations of the FBF approach are typically physics-based representations of the linear dynamics of a system. The proposed hybrid FBF approach expands the application of the FBF approach to systems with unmodeled nonlinearities by learning from data. A hybrid model is formulated by combining a physics-based model of the system's linear dynamics with a data-driven linear model that approximates the unmodeled nonlinear dynamics. The hybrid model is used online in receding horizon to compute optimal control commands that minimize tracking errors. The proposed hybrid FBF approach is shown in simulations on a model of a vibration-prone 3D printer to improve tracking accuracy by up to 65.4%, compared to an existing FBF approach that does not incorporate data.
|
3,063
|
Please write an abstract with title: Bitcoin Oracle Contracts: Discreet Log Contracts in Practice, and key words: Privacy, Protocols, Scalability, Bitcoin, User experience, Blockchains, Peer-to-peer computing. Abstract: Contracts established on a blockchain remove the need for intermediary third parties, but usually require external data to decide on an outcome, provided by a so-called oracle. Discreet Log Contracts were proposed as a way to establish such contracts on the Bitcoin blockchain without requiring interaction with an oracle, increasing the privacy of the contracting parties. To enable cross-compatible implementations to be developed, a specification effort was carried out, that led to various improvements over and additions to the original proposal. In particular, we present in this paper a simpler protocol making use of adaptor signatures, detail the handling of contracts with numerical outcomes, and how to create them using multiple oracles. We also provide some algorithmic optimizations to speed up contract creation and experimental results on performance highlighting their impact and demonstrating the useability of the overall system.
|
3,064
|
Please write an abstract with title: Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI, and key words: Image segmentation, Magnetic resonance imaging, Training, Biomedical imaging, Correlation, Lesions, Three-dimensional displays. Abstract: This paper presents a simple and effective generalization method for magnetic resonance imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a consequence is affected by (site-)domain shifts. We propose to integrate a traditional encoder-decoder network with a regularization network. This added network includes an auxiliary loss term which is responsible for the reduction of the domain shift problem and for the resulting improved generalization. The proposed method was evaluated on multiple sclerosis lesion segmentation from MRI data. We tested the proposed model on an in-house clinical dataset including 117 patients from 56 different scanning sites. In the experiments, our method showed better generalization performance than other baseline networks.
|
3,065
|
Please write an abstract with title: Waveguide echelle grating with low polarization-dependent loss using single-side metal-coated grooves, and key words: Polarization, Arrayed waveguide gratings, Optical waveguides, Diffraction gratings, Page description languages, Optical refraction, Optical variables control, Wavelength division multiplexing, Coatings. Abstract: A novel type of echelle groove, in which only the illuminated facet is coated with metal, is proposed for the design of a planar waveguide echelle grating. Numerical simulations using the rigorous coupled-wave analysis show that the metal coating on the shaded facet of a conventional metallic echelle grating is the main source of the polarization-dependent loss (PDL) while it does not contribute to the improvement of the diffraction efficiency. It is also shown that the diffraction efficiency, especially for the transverse-magnetic mode, is enhanced and the PDL is greatly reduced when the proposed single-side metallic coating is used.
|
3,066
|
Please write an abstract with title: NOMA-based Resource Allocation for RIS-assisted Multi-UAV Systems, and key words: NOMA, Power demand, Array signal processing, Simulation, Benchmark testing, Autonomous aerial vehicles, Decoding. Abstract: This paper investigates a reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicles (UAVs) system with non-orthogonal-multiple access (NOMA), where the transmit signals from multiple UAVs to ground users are strengthened through a RIS. An innovative framework is designed to minimize the total power consumption of the system, by jointly optimizing the position of UAVs, RIS reflection coefficients, active beamforming vectors and decoding order. To solve this problem, we first consider the sub-solution of the UAV’s location which can be achieved via the successive convex approximation (SCA) and maximum ratio transmission (MRT). By applying the Gaussian randomization procedure, we then yield the closed-form solution for RIS phase coefficients. Subsequently, the transmit power is obtained by the standard convex optimization methods. Finally, a dynamic-order decoding scheme is proposed to optimize the decoding order. Simulation results show that the resource allocation scheme can obviously reduce the total power consumption compared to the benchmark schemes.
|
3,067
|
Please write an abstract with title: Performance improvement for constant amplitude NRZ-DPSK transmission through modulation-pulse-pre-shaping, and key words: Amplitude modulation, Phase modulation, Optical modulation, Optical receivers, Differential quadrature phase shift keying, Optical packet switching, Optical sensors, Stimulated emission, Optical filters, RF signals. Abstract: We have demonstrated a novel modulation-pulse-pre-shaping technique to improve the transmission performance of constant amplitude NRZ-DPSK signal. Transmission distance is doubled using this method together with the optimization of phase modulation depth
|
3,068
|
Please write an abstract with title: Microbes as Communication & Decision-Making Networked Communities, and key words: Bacteria, decentralized detection, gene expression, heterogeneous species, microfluidics, molecular communications, quorum-sensing. Abstract: Microbial communities exhibit complex behavior and play significant roles in many biological phenomena. Understanding the communication within and between bacterial species can illuminate the how, as well as the why of numerous interactions that enable their collective behavior. In this position paper, we first discuss bacterial molecular communication in multihop settings. We address this concept in the context of local and global quorum sensing (QS) within a colony and then consider induced QS at a distance between different, spatially separated communities. We then investigate how the information is shared between cells when forming a quorum, particularly the intertwined relationship between cells’ observations, actions, and the state of their surrounding environment. Lastly, we extend to multi-species systems where all species coexist and interact, leveraging concepts from multiple-input-multiple-output (MIMO) communications. Community robustness and resiliency is also explored.
|
3,069
|
Please write an abstract with title: Enzymatic degradation of carrageenan by halophilic bacteria from South-West coast in India, and key words: Degradation, Microorganisms, Biochemistry, Purification, Production, Sediments, Extracellular, Stability, Temperature, Capacitive sensors. Abstract: Summary form only given. Carrageenase producing halophilic bacteria were isolated from seawater and sediment samples collected from the vicinity of seaweed meadow, all along the South West coast of India. Two isolates, YK-C-1 and YK-C-2, producing large amount of extracellular carrageenase were selected for purification of enzyme. Correlation study of enzyme production with growth curve of the aforesaid two bacterial isolates was also undertaken. Maximum enzyme production was observed during 24-32 hours of incubation. Storage stability of crude enzyme was studied with respect to temperature at 350C, 200C and in frozen condition. It was observed that the enzyme was quite stable even at 350C for 7 days. After this period, a reduction in activity by 41% and 33% was observed from both the strains respectively. The purification of enzyme using 75% ammonium sulphate saturation yielded 1.1 and 1.6 fold purification respectively. Specificity of enzyme towards kappa, iota and lambda carrageenan was also studied.
|
3,070
|
Please write an abstract with title: An extension on a new formulation of the algebraic Riccati equation problem, and key words: Riccati equations, Integral equations, Differential algebraic equations, Iterative methods, Dynamic programming, Filters, Electrons, Underwater vehicles, Underwater acoustics, Closed-form solution. Abstract: In a recent paper [3], by utilizing the square root of a matrix approach a new formulation of the algebraic Riccati equation has been presented and a closed form solution has been obtained under the hypothesis that certain commutativity conditions are fulfilled on a transformed space. In this note the imposed conditions are weakened and the formulation is extended to a wider class of Riccati problems.
|
3,071
|
Please write an abstract with title: Design and analysis of an ultrawide-band distributed CMOS mixer, and key words: Mixers, Radio frequency, Radiofrequency integrated circuits, Noise figure, Noise measurement, Receivers, Ultra wideband communication, Delay lines, Local oscillators, RF signals. Abstract: This paper presents the design and analysis of a novel distributed CMOS mixer for ultrawide-band (UWB) receivers. To achieve the UWB RF frequency range required for the UWB communications, the proposed mixer incorporates artificial inductance-capacitance (LC) delay lines in radio frequency (RF), local oscillator (LO), and intermediate frequency signal paths, and single-balanced mixer cells that are distributed along these LC circuits. Closed-form analytical model for the conversion gain of the mixer is presented. Furthermore, a comprehensive noise analysis of the proposed distributed mixer is carried out, which includes calculation of the mixer noise figure (NF) and derivation of the optimum number of stages, n, minimizing the NF. The designed mixer is capable of covering the RF and LO frequencies over a wide range of frequencies from 3.1-8.72 GHz. A two-stage distributed mixer has been fabricated in a 0.18-/spl mu/m CMOS process. Experiments show a conversion gain of more than 2.5 dB for the entire range of the frequencies. The dc power consumption is 10.4 mW.
|
3,072
|
Please write an abstract with title: Who (Self) Admits Technical Debt?, and key words: Software maintenance, Java, Conferences, Tools, Open source software. Abstract: Self-Admitted Technical Debt (SATD) are comments, left by developers in the source code or elsewhere, aimed at describing the presence of TD, i.e., source code "not ready yet". Although this was never stated in the original paper by Potdar and Shihab, the term SATD might suggest that it refers to a "self-admission" by whoever has written or changed the source code. This paper empirically investigates, using a curated SATD dataset from five Java open-source projects, (i) the extent to which SATD comments are introduced by authors different from those who have done last changes to the related source code, and (ii) when this happens, what is the level of ownership those developers have about the commented source code. Results of the study indicate that, depending on the project, the percentage of SATD admissions introduced or changed without modifying the related source code varies between 0% and 16%, and therefore represent a small, yet not negligible, phenomenon. The level of ownership of those developers is not particularly low, with a median value per project between 10% and 42%. This indicates the possible use of SATD as a different way to perform code review, although this behavior should be considered sub-optimal to the use of more traditional tools, which entail suitable notification mechanisms.
|
3,073
|
Please write an abstract with title: Organization of Online Chinese Teaching Activities in Township Primary Schools During the Epidemic: A Case Study Based on Activity Theory, and key words: Education, Epidemics, Writing, Urban areas, Information technology, Tools, Social networking (online). Abstract: Due to the COVID-19 epidemic in early 2020, many primary and secondary schools in China have started online teaching. This study takes a class of grade 4 in a primary school in X Town, Hubei Province as a case study, using the method of non-participatory observation and online interview, combining activity theory to explore the organization of the Chinese online teaching activities. We find three characteristics in it: teacher-centered activities, teaching social reconstruction based on WeChat and Dingding software and enhancement of interaction between parents and students. We also link these three aspects with activity theory to show the current situation of online teaching in township primary schools during the epidemic, in hope to explore the existing problems and reflect on the improvement measures of online teaching.
|
3,074
|
Please write an abstract with title: RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery, and key words: Location awareness, Image segmentation, Computer vision, Satellites, Head, Architecture, Tiles. Abstract: Accurate and fine-grained information about the extent of damage to buildings is essential for directing Humanitarian Aid and Disaster Response (HADR) operations in the immediate aftermath of any natural calamity. In recent years, satellite and UAV (drone) imagery has been used for this purpose, sometimes aided by computer vision algorithms. Existing Computer Vision approaches for building damage assessment typically rely on a two stage approach, consisting of building detection using an object detection model, followed by damage assessment through classification of the detected building tiles. These multi-stage methods are not end-to-end trainable, and suffer from poor overall results. We propose RescueNet, a unified model that can simultaneously segment buildings and assess the damage levels to individual buildings and can be trained end-to-end. In order to to model the composite nature of this problem, we propose a novel localization aware loss function, which consists of a Binary Cross Entropy loss for building segmentation, and a foreground only selective Categorical Cross-Entropy loss for damage classification, and show significant improvement over the widely used Cross-Entropy loss. RescueNet is tested on the large scale and diverse xBD dataset and achieves significantly better building segmentation and damage classification performance than previous methods and achieves generalization across varied geographical regions and disaster types.
|
3,075
|
Please write an abstract with title: Fast cycle accurate simulator to simulate event-driven behavior, and key words: Discrete event simulation, System-on-a-chip, Hardware, Embedded software, Digital systems, Standards development, Acceleration, Costs, Application software. Abstract: Architectural exploration and application development for digital System On Chip (SoC) need more and more performance from the simulator. Today, the standard design flow use a unifed modeling language and only one simulator for every development step. SystemC based simulators are efficient to validate hardware speclfications but its performances are not good enough to write and debug embedded softwares. Using some specialized simulators increase the effectiveness of a particular step. So, we specialize the simulator to become more suitable for targeted steps. In this paper, we describe an approach to accelerate simulation performances by focusing on the cycle accurate simulation level.
|
3,076
|
Please write an abstract with title: Direct Geostatistical Seismic Amplitude Versus Angle Inversion for Shale Rock Properties, and key words: Rocks, Data models, Computational modeling, Physics, Predictive models, Stochastic processes, Reservoirs. Abstract: The purpose of seismic reservoir characterization is to predict the spatial distribution of the subsurface rock properties from a set of direct and indirect measurements. Commonly, rock property volumes are obtained in a two-steps approach. First, the elastic properties are inverted from seismic reflection data and then used to compute rock properties volumes by applying a calibrated rock physics models. Such an approach is not only time consuming but may also lead to biased results as the uncertainties related to seismic inversion may not be propagated through the entire geomodeling workflow. Here, we propose an iterative geostatistical shale rock physics seismic AVA inversion method to invert seismic reflection data directly for shale rock properties. The workflow consists of three main steps starting from shale properties model generation of brittleness, total organic carbon (TOC), and porosity using stochastic sequential simulation and cosimulation and calculation of a volume of shale. In the following step, elastic property volumes are calculated based on a calibrated shale rock physics model using the self-consistent approximation. The elastic models are then used for the calculation of the synthetic seismic data. In the final step, the misfit between synthetic and real data is calculated and used as part of the stochastic update of the model parameter space. The whole process is repeated until a minimum misfit between the observed and synthetic seismic is achieved. The proposed method is successfully tested on an onshore Lower Paleozoic shale gas reservoir in Northern Poland, and the predicted shale rock properties agree with those observed at a blind-well location.
|
3,077
|
Please write an abstract with title: Content Filtering in Streaming Video Using Domain Adaptation, and key words: Training, Adaptation models, Filtering, Machine vision, Streaming media, Minimization, Entropy. Abstract: This paper addresses the problem of content filtering in live streaming video. We consider the case where positive data, content to be filtered, is not readily available on the target platform. We therefore use positive data from other sources and apply domain adaptation to classify new data on the target platform. In order to map features of source and target domains into a common feature space, we optimize a Wasserstein distance (WD) loss and binary cross entropy loss, such that class distributions remain separated in the new feature space. Our baseline model achieves state-of-the-art results on the public NPDI dataset, and we show that WD-based domain adaptation improves the accuracy in the absence of positive samples in the target domain.
|
3,078
|
Please write an abstract with title: Synthetic Blood Smears Generation Using Locality Sensitive Hashing and Deep Neural Networks, and key words: Cells (biology), Annotations, Biomedical imaging, Neural networks, Blood platelets, Training. Abstract: Peripheral Blood Smear (PBS) analysis is a vital routine test carried out by hematologists to assess some aspects of humans' health status. PBS analysis is prone to human errors and utilizing computer-based analysis can greatly enhance this process in terms of accuracy and cost. Recent approaches in learning algorithms, such as deep learning, are data hungry, but due to the scarcity of labeled medical images, researchers had to find viable alternative solutions to increase the size of available datasets. Synthetic datasets provide a promising solution to data scarcity, however, the complexity of blood smears' natural structure adds an extra layer of challenge to its synthesizing process. In this work, we propose a methodology that utilizes Locality Sensitive Hashing (LSH) to create a novel balanced dataset of 2500 synthetic blood smears. This dataset, which was automatically annotated during the generation phase, will be made public for research purposes and covers 17 essential categories of blood cells. We proved the effectiveness of the proposed dataset by utilizing it for training a deep neural network, this model got a very high accuracy score of 98.72% when tested with the well known ALL-IDB dataset. The dataset also got the approval of 5 experienced hematologists to meet the general standards of making thin blood smears.
|
3,079
|
Please write an abstract with title: Underwater Multitarget Tracking With Sonar Images Using Thresholded Sequential Monte Carlo Probability Hypothesis Density Algorithm, and key words: Target tracking, Sonar detection, Object detection, Detection algorithms, Prediction algorithms, Particle measurements, Atmospheric measurements. Abstract: This letter presents a multitarget tracking algorithm—thresholded sequential Monte Carlo probability hypothesis density (TH-SMC-PHD) algorithm. The TH-SMC-PHD aims to overcome the problem that underwater multitarget tracking is prone to missing tracking on sonar images, resulting in the breakage of trajectories. First, cell average (CA)-constant false alarm rate (CFAR) and K-means are employed to detect potential underwater targets from sonar images, respectively. Then, the TH-SMC-PHD is applied to the detection results for tracking, using a continuously lost frame threshold to reduce the missing tracking rate (MR) and the minimum-sampling-variance (MSV) resampling to improve tracking accuracy. An actual underwater multitarget tracking experiment using a forward-looking sonar was contracted in a water tank to evaluate the tracking performance. Compared with the other two PHD tracking algorithms, the results demonstrate that the proposed algorithm achieves high-precision, non-fracture, non-missing tracking of three targets. In addition, the TH-SMC-PHD is more stable and less affected by different detection algorithms, which has the potential for practical applications.
|
3,080
|
Please write an abstract with title: Maximum likelihood estimation of object size and orientation from projection data, and key words: Maximum likelihood estimation, Sea measurements, Geometry, Density measurement, Parameter estimation, Shape measurement, Size measurement, Gaussian noise, Computed tomography, Object detection. Abstract: The problem of detecting, locating and characterizing objects in a 2D cross-section from noisy projection data has been considered recently [1-3], in which objects are characterized by a finite number of parameters, which are estimated directly from noisy projection measurements. In this paper, the problem of maximum likelihood (ML) estimation of those parameters characterizing the geometry of an object (e.g. size and orientation) is considered, and estimation performance is investigated.
|
3,081
|
Please write an abstract with title: End-to-End Learning-based Amplify-and-Forward Relay Networks using Autoencoders, and key words: Modulation, Relay networks (telecommunications), Decoding, Encoding, Rayleigh channels. Abstract: In this work, we study an end-to-end deep learning (DL) based constellation design for the amplify-and-forward (AF) relaying network. Firstly, we study the one-way (OW) and two-way (TW) AF relay networks as an autoencoder by utilizing a single channel to transmit the desired bits, whilst operating under Rayleigh fading channels. As a result of optimal constellation design via end-to-end DL-based framework, we achieve a performance gain of 4 dB and 1.2 dB at 10 dB average signal-to-noise ratio (SNR) over conventional OWAF and TWAF relay networks, respectively. Secondly, by adding redundant bits at the transmitter, we jointly design an end-to-end DL-based coding and modulation scheme for block fading Rayleigh channels. This leads to DL-based coding and modulation, and DL-based differential coding and modulation, similar to the coded modulation and differential coded modulation in conventional networks, depending upon the presence of channel state information knowledge at the receivers. Thus, we propose an end-to-end DL-based data-driven frameworks for differential coded modulation in OWAF and coded modulation in TWAF relay networks. Lastly, we show that at 20 dB average SNR, our proposed methods (DL based differential coded modulated OWAF and DL-based coded modulated TWAF) achieve a gain of 4 dB and 4.8 dB, over conventional OWAF and TWAF relay networks employing Hamming codes with same rates.
|
3,082
|
Please write an abstract with title: Textual analysis of moral components in Islamic and Non-Islamic business in Russia, and key words: Economics, Ethics, Analytical models, Dictionaries, Soft sensors, Biological system modeling, Finance. Abstract: This article examines the possibility of improving financial modeling through the use of textual analysis methods, in particular, the analysis of the moral component of the texts to determine the attitude of people to the object of analysis. The data source for the analysis is proposed to be a large portal with reviews of Islamic and Non-Islamic business from the customers who describe their experience with the object of analysis. A way to study social assessments of business models ethics in modern Russia based on an adaptation of the dictionary MFD was developed, the results showed the greatest coverage of the block “authority”.
|
3,083
|
Please write an abstract with title: 3D Human Pose and Shape Reconstruction From Videos via Confidence-Aware Temporal Feature Aggregation, and key words: Three-dimensional displays, Feature extraction, Shape, Training, Correlation, Solid modeling, Videos. Abstract: Estimating 3D human body shapes and poses from videos is a challenging computer vision task. The intrinsic temporal information embedded in adjacent frames is helpful in making accurate estimations. Existing approaches learn temporal features of the target frames simply by aggregating features of their adjacent frames, using off-the-shelf deep neural networks. Consequently these approaches cannot explicitly and effectively use the correlations between adjacent frames to help infer the parameters of the target frames. In this paper, we propose a novel framework that can measure the correlations amongst adjacent frames in the form of an estimated confidence metric. The confidence value will indicate to what extent the adjacent frames can help predict the target frames’ 3D shapes and poses. Based on the estimated confidence values, temporally aggregated features are then obtained by adaptively allocating different weights to the temporal predicted features from the adjacent frames. The final 3D shapes and poses are estimated by regressing from the temporally aggregated features. Experimental results on three benchmark datasets show that the proposed method outperforms state-of-the-art approaches (even without the motion priors involved in training). In particular, the proposed method is more robust against corrupted frames.
|
3,084
|
Please write an abstract with title: An improved topology of inductor-switching DC-DC converter, and key words: Topology, Inductors, DC-DC power converters, Switching converters, Capacitors, Switches, Voltage control, Diodes, Filters, Equivalent circuits. Abstract: Improved version of inductor-switching fast-response DC-DC converter is presented that will provide the requirements and features of the new generation of microprocessor and digital systems. Lower output voltage, higher output current and smaller output voltage ripple requirements have greatly increased the difficulty of the power supply design. To further burden the problem, power saving "stop-clock" modes of the microprocessor has demanded faster and more stable transient response from the DC-DC converter. A novel method of inductor-switching is applied to a DC-DC converter, and it provides the prominent features of current amplification and absorption during the heavy burden load transients. The design and simulation of the concept is verified by experiment of 12V input and 3.3V/30A output converter.
|
3,085
|
Please write an abstract with title: Analysis of MEMS based rotor flux sensing in a hybrid reluctance permanent magnet motor, and key words: Magnetic analysis, Micromechanical devices, Rotors, Permanent magnet motors, Torque control, Magnetic sensors, Reluctance motors, Electric potential, Hybrid electric vehicles, Propulsion. Abstract: Hybrid reluctance permanent magnet (HRPM) motors have potential advantages for electric vehicle propulsion. However, their introduction into practical applications has been limited due to the complexity of controlling the nonlinear reluctance torque. This paper presents the results of an investigation into the use of micro-electromechanical sensors (MEMS) to detect magnetic flux levels in the rotor of a hybrid reluctance permanent magnet motor. It is found that a small network of rotor flux sensors provides an accurate estimate of the instantaneous reluctance effect torque in the machine. This provides a method for controlling the torque of the HRPM machine by separating the linear permanent magnet portion from the nonlinear reluctance torque component, thereby overcoming a significant obstacle in the commercial adoption of HRPM technology.
|
3,086
|
Please write an abstract with title: The intelligent control based on synergetic pattern recognition, and key words: Intelligent control, Pattern recognition, Robust stability, Automation, Neural networks, Robust control. Abstract: To study the synergetic theory and the basic method of synergetic pattern recognition, an intelligent control model based on synergetic pattern recognition was presented. The application research showed that the model is effective, and has good stability and strong robustness. Synergetic pattern recognition method has a promising development in future, and provides a new approach in improving intelligent control system.
|
3,087
|
Please write an abstract with title: Stability Control Design for TAB-Based Three-Port Bidirectional DC/DC Converters in PV-Battery Grid-Connected Applications, and key words: Topology, Power system stability, Control design, Bridge circuits, Voltage control, Mathematical model, Couplings. Abstract: As affected by climate conditions, e.g. solar irradiation and temperature, the output power of photovoltaic (PV) generation is generally random and intermittent. Energy storage devices like batteries are thus necessary to be incorporated in a PV system to smooth the output power. In order to connect the PV-battery to the DC grid, a three-port bidirectional DC/DC converter based on the triple-active-bridge (TAB) topology is a superior choice. Such three-port converter is a strongly coupled system, which demands decoupling control methods to obtain independent control of input/output power in each port. However, the conventional control strategy with decoupling control cannot suppress the filter resonance in DC-grid-port effectively and could lead to the converter output current instability. Therefore, a stability control design for TAB-based three-port bidirectional DC/DC converters is proposed in this paper. It can manage the power flow among the ports with reliability and maintain the system stable operation. Simulation results are finally presented to verify the proposed control design.
|
3,088
|
Please write an abstract with title: Metamaterial engineered C+L band 90° hybrid with 150 nm feature size, and key words: Bandwidth, Silicon, Optical fibers, Optical receivers, Metamaterials, Photonics. Abstract: 90° hybrids are important components for coherent optical communications. Conventional implementations only cover the C band, while broadband, metamaterial-based devices require sub-100nm feature sizes. We propose a design based on dual-etch silicon subwavelength structures that achieves a 170 nm bandwidth with deep-UV compatible feature sizes.
|
3,089
|
Please write an abstract with title: New Soft Robot Hand Configuration With Combined Biotensegrity and Thin Artificial Muscle, and key words: Muscles, Soft robotics, Actuators, Shape, Topology, Wrist. Abstract: This letter proposes a particular tensegrity topology for a humanoid hand in which the motion of the hand is actuated using thin McKibben artificial muscles. The specific actuation pattern for this tensegrity hand with multiple degrees of freedom, which includes the location of the artificial muscles, is presented. A novel design of the joints that are used to connect tensegrity prisms is proposed and the actuation method is demonstrated. The humanoid tensegrity hand is able to absorb impact from different directions. Under stress, the tensegrity hand is capable of compressing to 26% of its size in the horizontal direction before failure and about 30% of its finger thickness without destroying its structure. After resisting compression and tension force, the tensegrity hand returns to its original shape and works normally. Static and dynamic experiments were conducted to validate the gripping motion and holding performance. The implementation of the tensegrity hand shows that this specific topology design can be utilized to develop soft robotic hands.
|
3,090
|
Please write an abstract with title: Performance Analysis of OTFS Modulation in Vehicular Networks, and key words: Time-frequency analysis, Transmitters, Spaceborne radar, Simulation, Modulation, Scattering, Rayleigh channels. Abstract: Consider the vehicular network comprising of a fixed source hub, a fixed destination hub with single antenna. Assume that the source-to destination Vehicle Equipment (VE) channel is modelled as Rayleigh fading distribution and Eavesdropper Vehicle (EV) channel link from Source is modelled as Nagakami fading distribution. In this paper, we newly propose Orthogonal Time Frequency Modulation (OTFS) modulation at the transmitter for high speed vehicular networks. The Significance of OTFS modulation is to multiplex the information through two dimensional symmetrical basis capacities regarding postponement and Doppler areas valuable for rapid vehicles. We infer the tight shut structure expression for ergodic secrecy capacity of the proposed system model. It is observed that analytical and simulation result showed that the secrecy capacity improved significantly when compared with the existing system models.
|
3,091
|
Please write an abstract with title: A Comprehensive Condition Assessment Method for Line Composite Insulator Asset Management, and key words: Asset Management, Composite Insulators, Hydrophobicity, Monitoring Methods, Aging Process. Abstract: Electricity distribution companies always strive to operate the power network efficiently and reliably so that their network be able to satisfy the growing needs for electricity. To achieve these goals in a power network, a comprehensive asset management plan with a sound policy for inspection, periodic maintenance, replacement, and disposal of depreciated equipment is required. In this paper, authors concentrate on line composite insulators asset management. These types of insulators have desirable characteristics such as: hydrophobicity, lower price, and lower weight if compared with the ceramic insulators which make them more attractive than other types of insulators. The output of “insulation condition assessment” of these insulators is employed to develop an asset management plan; which involves: inspection plan, condition monitoring, determination of the aging stage, early failure predictions, washing schedules, and repair strategies. Various condition monitoring methods are used in this work, such as: measuring the contact angle of water droplets on the insulator's surface, scanning electron microscopy (SEM), and leakage current analysis to determine the degradation process and the aging rate of composite insulator. Finally, the asset management algorithm of these insulators is presented on the basis of insulation condition assessment, and then it is applied to the condition assessment of three samples of the composite insulators to improve the reliability and life of the insulator system.
|
3,092
|
Please write an abstract with title: Efficient Implementation of Finite Field Arithmetic for Binary Ring-LWE Post-Quantum Cryptography Through a Novel Lookup-Table-Like Method, and key words: Design automation, Market research, Hardware, Cryptography, Galois fields, Arithmetic. Abstract: The recent advance in the post-quantum cryptography (PQC) field has gradually shifted from the theory to the implementation of the cryptosystem, especially on the hardware platforms. Following this trend, in this paper, we aim to present efficient implementations of the finite field arithmetic (key component) for the binary Ring-Learning-with-Errors (Ring-LWE) PQC through a novel lookup-table (LUT)-like method. In total, we have carried out four stages of interdependent efforts: (i) an algorithm-hardware co-design driven derivation of the proposed LUT-like method is provided detailedly for the key arithmetic of the BRLWE scheme; (ii) the proposed hardware architecture is then presented along with the internal structural description; (iii) we have also presented a novel hybrid size structure suitable for flexible operation, which is the first report in the literature; (iv) the final implementation and comparison processes have also been given, demonstrating that our proposed structures deliver significant improved performance over the state-of-the-art solutions. The proposed designs are highly efficient and are expected to be employed in many emerging applications.
|
3,093
|
Please write an abstract with title: Principles of building personalized intelligent human assistants, and key words: Planets, Architecture, Buildings, Process control, Medical services, Ontologies, Organisms. Abstract: The article describes the principles of building intelligent human assistants based on the concept of co-evolutionary hybrid intelligence. The idea of the concept is the mutual development of human and artificial intelligences as a single indivisible organism. From this concept follows the necessity of continuous mutual construction and improvement of models of the state and behavior of humans and artificial intelligence. The latter is possible under the condition of personalizing a system of co-evolutionary hybrid intelligence. The principles of building such systems are illustrated by the example of intelligent doctor-patient assistants.
|
3,094
|
Please write an abstract with title: A new CCII/sup +/ based biquad, and key words: Frequency, Low pass filters, Oscillators, Impedance, Capacitors, Resistors, Transfer functions, Control systems, Content addressable storage, Algorithm design and analysis. Abstract: In the present work we propose a versatile CCII/sup +/ based structure which can be used both as a second-order band-pass/low-pass filter and as a variable frequency sinusoidal oscillator, performing adequately in both applications. The chosen configuration exhibits an easy control of the main parameters, such as characteristic frequency, quality factor and voltage gain. Experimental results verify the expected structure behaviour and capabilities.
|
3,095
|
Please write an abstract with title: On the interference nulling operation of the V-BLAST under channel estimation errors, and key words: Interference, Channel estimation, Receiving antennas, Detection algorithms, Transmitting antennas, Space technology, Fading, Degradation, Maximum likelihood detection, Maximum likelihood estimation. Abstract: We propose a new interference nulling operation in V-BLAST (Vertical Bell Laboratories Layered Space Time) to reduce unexpected effects by the channel estimation errors. Assuming that the channel estimation is performed by pseudo-inverse of orthogonal or non-orthogonal training sequence matrix, we derive a better nulling vector which minimizes the power of various terms generated by the channel estimation errors. With simulations, we test the performance of the proposed algorithm.
|
3,096
|
Please write an abstract with title: Neural filtering of colored noise based on Kalman filter structure, and key words: Filtering, Colored noise, Neural networks, Kalman filters, Adaptive filters, Noise measurement, Gaussian noise, Noise shaping, Equations, State estimation. Abstract: In this paper, adaptive filtering approaches of colored noise based on the Kalman filter structure using neural networks are proposed, which need not extend the dimensions of the filter. The colored measurement noise is first modeled from a Gaussian white noise through a shaping filter. The Kalman filtering model of colored noise is then built by adopting an equivalent observation equation, which can avoid the dimension extension and complicated computations. An observation correlation-based algorithm is suggested to estimate the variance of the measurement noise by use of a single layer neural network. The Kalman gain can be obtained when a perfect knowledge of the plant model and noise variances is given. However, in some cases, the difficulties of the correlative method and the Kalman filter equations are the amount of computations and memory requirements. A neural estimator based on the Kalman filter structure is also analyzed as an alternative in this paper. The Kalman gain is replaced by a feedforward neural network whose weight adjustment permits minimization of the estimation error. The estimator has the capability of estimating the states of the plant in a stochastic environment without knowledge of noise statistics. If the noise of the plant is white and Gaussian and its statistics are well known, the neural estimator and the Kalman filter produce equally good results. The neural filtering approaches of colored noise based on the Kalman filter structure are applied to restore the cephalometric images of stomatology. Several experimental results demonstrate the feasibility and good performances of the approaches.
|
3,097
|
Please write an abstract with title: Twi Corpus: A Massively Twi-to-Handful Languages Parallel Bible Corpus, and key words: Analytical models, Statistical analysis, Text categorization, Semantics, Natural languages, Stochastic processes, Parallel processing. Abstract: This paper presents detailed modeling of massively parallel Bible corpus based on Twi, a common Ghanaian language, to a handful of languages. We discussed some of the common issues we encountered in obtaining, processing, converting, and formatting the corpus and the latent desire for success in NLP. We stored the sentence aligned data in various files based on the Twi to the selected language pairs with a tab-delimited separation. Verses with the same line number in a line pair are mappings of each other. It is often challenging to learn what a “clean” corpus looks like in lower-resource situations, especially where the target corpus is the only sample of the language's parallel text. We, therefore, performed unsupervised measurements on each sentence pair. We engage the squared Mahalanobis distances that predicted parallelism on the dataset. Eventually, we perform a statistical analysis of the corpora collected based on selected text categorization models for text classification by leveraging vector embedding (like Word2vec). Finally, we trained the Twi vocabs for a 2D representation. Similar words find their vectors closer by engaging t-Distributed Stochastic Neighbor embedding (t-SNE).
|
3,098
|
Please write an abstract with title: Sufficient conditions used in admittance selection for planar force-guided assembly, and key words: Sufficient conditions, Assembly, Transmission line matrix methods, Force control, Force measurement, Euclidean distance, Velocity control, Admittance measurement, Velocity measurement, Damping. Abstract: Admittance control approaches show significant promise in providing reliable force-guided assembly. An important issue in the development of these approaches is the specification of an appropriate admittance control law. This paper identifies procedures for selecting the appropriate admittance to achieve reliable planar force-guided assembly for single-point contact cases. A set of conditions that are imposed on the admittance matrix is presented. These conditions ensure that the motion that results from contact reduces part misalignment. We show that for bounded misalignment, if the conditions are satisfied for a finite number of contact configurations, the system ensures that force guidance is achieved for all intermediate configurations.
|
3,099
|
Please write an abstract with title: A New Logic Topology-Based Scan Chain Stitching for Test-Power Reduction, and key words: Flip-flops, Computer architecture, Testing, Controllability, Discrete Fourier transforms, Estimation, Topology. Abstract: A scan architecture is the most widely used for obtaining high test coverage in manufacturing tests. However, the recent increase in circuit size has caused the power consumption during scan testing to become higher than that in the functional mode. Thus, the reliability of scan testing has become a concern. In this brief, a new logic topology-based scan chain stitching method is proposed to reduce the test power. The proposed method uses the topology of logic circuits to analyze them without relying on specific test patterns. The proposed method is beneficial for reduction of both computation time and test power during testing with various test patterns. The method performs two processes to consider the shift-in and shift-out powers. The first process, logic topology-based scan partitioning, forms scan chains based on scan estimation value that estimates the shift-out data occurring in flip-flops. The second process, logic topology-based scan stitching, determines the order of the flip-flops by calculating the scan influence value, using which the proposed method can reduce the shift-in power by consolidating the care bit density in the test patterns. The experiments conducted on ISCAS'89 and ITC'99 benchmark circuits demonstrate that on average, the proposed method reduces the shift power by 28.36% compared with a previous logic topology-based scan chain stitching method.
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.