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International Conference on Computational science and Computational Intelligence (CSCI)

作者： Adam Hennad Patricia Cockett Lifford McLauchlan Mehrube Mehrubeoglu National Instruments Austin Texas USA Texas A&M University-Corpus Christi Department of Physical and Evironmental Sciences Harte Research Institute TX A&M Univ.-Corpus Christi Corpus Christi Texas USA Dep. of Electrical Engineering and Computer Science Texas A&M Univ.-Kingsville Kingsville Texas USA Department of Engineering TX A&M Univ.-Corpus Christi Corpus Christi Texas USA

ISBN: (数字)9781728155845

ISBN: (纸本)9781728155852

Volume computations are important for the characterization of three-dimensional (3D) objects. In the case of irregularly-shaped objects, volumetric analysis remains challenging due to the missing symmetry in the geometry. 3D scanners provide a solution for digitizing the shape of objects for 3D visualization; however, typical scanners do not provide detailed quantitative information which offers significant advantage in both research and development applications. In this work, tools and operations that utilize digital 3D data captured via a 3D structured-light scanner are investigated to develop algorithms that accurately model and compute the volume of non-uniform objects. Specifically, limpet seashells are utilized to develop the models for volumetric analysis and characterization using MATLAB programming toolboxes after the 3D scans are completed.

关键词： Three-dimensional displays Calibration Solid modeling Mathematical model Computational modeling Matlab Shape

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A Compact 9 GHz Microwave Imaging System

A Compact 9 GHz Microwave Imaging System

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IEEE International Workshop on Electromagnetics, Applications and Student Innovation (iWEM)

作者： Kang-Chun Peng Chiu-Chin Lin Cyuan-Fong Li Cheng-Yuan Hung Yu-Sung Hsieh Dep. of Computer and Communication Engineering National Kaohsiung Univ. of Science and Technology Kaohsiung Taiwan Opto-electronics Equipment Department Metal Industries Research & Development Center Kaohsiung Taiwan

This work develops a compact 9 GHz microwave imaging system. The core of the system is a vector network analyzer (VNA) which utilizes range-correlation architecture to suppress the phase noise of the received signal. To overcome the bottleneck that conventional mixer-based phase detectors have limited phase detection range, a novel quadrature phase detection algorithm is proposed. The experimental results show that the microwave imaging system can well detect the bone image of a chicken wing.

关键词： Microwave imaging Microwave oscillators Microwave antennas Microwave communication

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Adaptive Input-output feedback linearization control of Brushless DC Motor with arbitrary current reference using Voltage Source Inverter 8

Adaptive Input-output feedback linearization control of Brus...

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8th Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2017

作者： Shirvani Boroujeni, Mojtaba Arab Markadeh, Gholamreza Soltani, Jafar Dep. of Computer Science and Electronic Shahrekord University Shahrekord Iran Department of Electrical Engineering Khomeinishahr Branch Islamic Azad University Isfahan Iran

ISBN: (纸本)9781509057665

Torque ripple reduction of Brushless DC Motors (BLDCs) with concentrated winding is an attractive subject in variable speed AC drives. In ideal BLDC with trapezoidal back-EMF torque ripple elimination can be achieved using rectangular stator current, while in motors with non-ideal back-EMF, feeding the rectangular current leads to more torque ripple. In this paper at first, a mathematical expression for torque ripple harmonics is done. Then for a non-ideal BLDC motor with known harmonic contents of back-EMF, calculation of desired reference current amplitudes, which are required to eliminate some selected harmonics of torque ripple, is reviewed. In order to inject the reference currents to the motor windings, an adaptive input-output feedback linearization control is proposed, which generates the reference voltages for three phases Voltage Source Inverter (VSI). Also, this method is robust against the motor parameter variations like as stator's resistance and leakage inductance. The effectiveness of the proposed method is evaluated with simulation in the two harmonic selection methods. © 2017 IEEE.

关键词： Brushless DC motors

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A Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks

A Load Balancing Algorithm for Resource Allocation in IEEE 8...

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IEEE International Conference on Pervasive Computing and Communications

作者： Katina Kralevska Dimitrios J. Vergados Yuming Jiang Angelos Michalas Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology School of Electrical and Computer Engineering National Technical University of Athens Department of Informatics Engineering Technological Education Institute of Western Macedonia Kastoria Greece

ISBN: (纸本)9781538632284

The recently created IETF 6TiSCH working group combines the high reliability and low-energy consumption of IEEE 802.15.4e Time Slotted Channel Hopping with IPv6 for industrial Internet of Things. We propose a distributed link scheduling algorithm, called Local Voting, for 6TiSCH networks that adapts the schedule to the network conditions. The algorithm tries to equalize the link load (defined as the ratio of the queue length over the number of allocated cells) through cell reallocation. Local Voting calculates the number of cells to be added or released by the 6TiSCH Operation Sublayer (6top). Compared to a representative algorithm from the literature, Local Voting provides simultaneously high reliability and low end-to-end latency while consuming significantly less energy. Its performance has been examined and compared to On-the-fly algorithm in 6TiSCH simulator by modeling an industrial environment with 50 sensors.

关键词： Schedules IEEE 802.15 Standard Scheduling algorithms Reliability Resource management Scheduling Computational modeling management of resources Scheduling algorithms Computational modeling Link Load Resource utilization Vote INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS Internet of things IPv6 Load balancing

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High-Performance Computing (HPC) design to improve the quality of Introduction of Parallel Computing lectures

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IOP Conference Series: Materials science and engineering 2019年第1期462卷

作者： E Alfianto A Sa'diyah F Rusydi I Puspitasari Dep. of Computer System Institut Teknologi Adhi Tama Surabaya Jl Arif Rachman Hakim 100 Surabaya Indonesia. 60111 Dep. of Marine Engineering Politeknik Perkapalan Negeri Surabaya Jl Jalan Teknik Kimia Kampus ITS-Sukolilo Surabaya Indonesia 60117 Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of the information system Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115

High-Performance Computing (HPC) has been created to improve the quality of Pengantar Komputasi Parallel lectures. HPC consists of two PCs with AMD Ryzen 7 processor connected by high-speed LAN. HPC is used to solve problems that students can't practice Parallel Computing because the computer used is not adequate. So it takes a machine that can used together that has many processors, so the problems encountered are resolved. The results obtained, participants can use more than four processors to solve tree problems directly.

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A user's intention detection method for smart walker

A user's intention detection method for smart walker

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International Conference on Awareness science and Technology (iCAST)

作者： Wen-Chang Cheng Yan-Zhi Wu Dep. of Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan

To assist home care for the elderly, we've finished a smart walker in previous study, with the features including destination track navigation, obstacle detection, self-positioning, follow-up, and wireless inductive charging. In this study, we further finish the user's intention detection function on the smart walker to control the smart walker. We install 3 pressure sensors on both sides of smart walker handles respectively to extract the user's force application, which are taken as input signal. Through AdaBoost classifier, it finishes input signal recognition and controls of the smart walker moving forward/backward directly. The user doesn't need to press the switch or click on the panel, but apply force on the handle directly, which makes the operation easier. The experiment validates that the accuracy can achieve higher than 98%, which can simplify the operation effectively and achieve the practical purpose.

关键词： Pressure sensors Training Error analysis Senior citizens Force Elevators

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A secure mutual trust scheme for wireless sensor networks

A secure mutual trust scheme for wireless sensor networks

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Alan Dahgwo Yein Chih-Hsueh Lin Wen-Shyong Hsieh Dep. of Information Management Shu-Te University Taiwan Dep. of Computer and Communication Shu-Te University Kaohsiung Taiwan Dep. of Computer Science and Engineering National Sun Yat-sen University Taiwan

ISBN: (纸本)9781509014132

In this paper, we propose a secure mutual trust scheme based on the concept of chameleon hash function, for wireless sensor networks (WSNs). In the proposed scheme, the base station (BS), holding two common secrets, issues an identity to every dep.oyed sensor node. An identity contains a public data and a private key. The public data is used to present a node, and the private key is used to make mutual trust keys with other node's public data. A public data can be used in verifying the legitimacy of the node. The mutual trust key is the evidence that a node owns the related public data. At any time, or after finding malicious nodes or dep.oying new nodes, BS will broadcast new group key to all sensor nodes by multiple hopping. Following the group key broadcasting and rebroadcasting, the still-legal nodes can set new information in their public data, private key, hop counters, public parameters, and neighbor nodes set, which contains the public data and hop counter of its neighboring nodes. Based on the new information, a sensor node can make the mutual trust keys with its neighboring nodes to do message authentication and secure communicating, or to set up a secure path to forward the sensed information to BS by multiple relaying. The security analysis shows that the proposed scheme can revoke the right of malicious sensor nodes, dep.oy new sensor nodes, and work well under malicious attacking. As the result of performance comparison, the proposed secure scheme is superior to the related works.

关键词： Wireless sensor networks Public key Receivers Broadcasting Radiation detectors Message authentication Elliptic curves

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Classification of Hand Movements from EMG Signals using Optimized MLP

Classification of Hand Movements from EMG Signals using Opti...

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International Joint Conference on Neural Networks (IJCNN)

作者： Aron A. Martins Lima Rafael M. Araujo Fábio A. Guidotti dos Santos Victor H. Yoshizumi Fábio K. H. de Barros Danilo H. Spatti Luisa H. B. Liboni Maria E. Dajer Department of Electrical Engineering Federal University of Technology Paraná Cornélio Procópio Brazil Department of Computational Systems University of São Paulo São Carlos Brazil Dep. of Electrical and Computer Engineering Federal Institute of Education Science and Technology of São Paulo Sertãozinho Brazil

The emergence of artificial neural networks (ANNs) caused a great revolution in the knowledge area of pattern-classification and contributed to the fast development of intelligent systems. For an ANN to be effective, its topology parameters must be set up, such as learning rate, number of layers, and number of neurons. Therefore, optimization algorithms can be used to produce more efficient ANNs. In this paper, we propose a genetic algorithm (GA) to better estimate parameters of an ANN applied to the classification of the type, strength, and orientation of different hand movements from electromyography signals. Acquired data signals were first processed with the Wavelet Transform (WT) to extract the most important features. These features were presented to the optimized hybrid intelligent system (HIS) composed of ANNs and the optimization GA. Classification results are promising, presenting accuracy rates above 90% and reliability rate of 98%. These results support the use of HIS in practical applications such as smart prostheses and automatic medical evaluations.

关键词： Electromyography Artificial neural networks Topology Genetic algorithms Wrist Transforms Network topology

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Real time underwater embedded system architectures

Real time underwater embedded system architectures

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Hussain Albarakati Reda Ammar Raafat Elfouly Hesham Alhumyani Computer Science and Engineering Department University of Connecticut Storrs CT Computer Science Department Rhode Island College Computer Engineering Dep. Taif University

In our previous work, we presented new reconfigurable underwater sensor network architectures that minimize both the end-to-end delay and the power consumption of the network [1]. The idea was to have dynamic architectures configured on the basis of the network parameters (such as data rate, central processing node capabilities, gathering node capabilities, and water dep.h). These architectures ignore real-time constraints, but they achieve the best performance in terms of the end-to-end delay and the power consumption. In this paper, we extended our research results and designed new underwater embedded system architectures that satisfy real-time constraints.

关键词： Virtual machining Relays Logic gates Instruction sets Real-time systems Time factors computer architecture

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Multi-Modal Optimization by Multi-Gene Genetic Programming

Multi-Modal Optimization by Multi-Gene Genetic Programming

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Congress on Evolutionary Computation

作者： Rogério C. B. L. Póvoa Adriano S. Koshiyama Douglas M. Dias Patrícia L. Souza Bruno A.C. Horta Department of Electrical Engineering PUC-Rio Rio de Janeiro Brazil Department of Computer Science UCL London United Kingdom Dep. of Electronics and Telecommunications UERJ Rio de Janeiro Brazil PUC-Rio LabSem/CETUC Rio de Janeiro Brazil UFRJ Institute of Chemistry Rio de Janeiro Brazil

Genetic programming techniques allow flexibility in the optimization process, making it possible to use them in different areas of knowledge and providing new ways for specialists to advance in their areas more quickly and more accurately. This work presents a preliminary analysis of a new method using multi-gene genetic programming to multimodal numerical optimization. The new algorithm uses some niching techniques based on the clear procedure to maintain the population diversity, in order to perform a multivariate mapping among initial guesses to optimal parameters for a system. We used a multi-modal benchmark set with different characteristics and difficulty levels to evaluate this new algorithm. Statistical analysis suggested that this new multi-modal method using multi-gene genetic programming can be used for problems that requires more than a single solution.

关键词： Optimization Benchmark testing Linear programming Genetic programming Sociology Statistics Genetic algorithms

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