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检索条件"任意字段=Conference on Algorithms, Devices, and Systems for Optical Information Processing"

共 3196 条记录，以下是41-50 订阅

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Optimizing Neural Prosthetic Control systems Using Genetic Algorithm for Adaptive Signal processing

Optimizing Neural Prosthetic Control Systems Using Genetic A...

引用

2025 International conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Purnima, S. Sathiya, A. Poonkuzhali, P. Balakrishnan, Minu Saravanan, M. Saravanan, M. Jerusalem College of Engineering Dept. of Bme Chennai600 100 India Department of Ece Karur639113 India R.M.D. Engineering College Department of Ece Chennai601206 India Sri Eshwar College of Engineering Department of Information Technology Coimbatore641202 India Sri Eshwar college of engineering Department of Ece Coimbatore641202 India Annamalai University Faculty of Engineering & Technology Department of Ece Chidambaram608002 India

ISBN: (纸本)9798331509828

Neural prosthetic systems provide promising solutions for restoring motor functions in individuals with disabilities. However, optimizing the control systems that decode neural signals remains a key challenge due to the dynamic nature of neural activity. This paper proposes a novel approach using a Genetic Algorithm (GA) to optimize the parameters of adaptive signal processing algorithms in neural prosthetic systems. The GA enables continuous calibration and adjustment, improving the accuracy of neural signal decoding and control over time. Simulation results show significant improvements in the efficiency of signal decoding from EEG/EMG data, leading to smoother control of prosthetic devices. The proposed methodology offers an adaptive and user-specific solution, contributing to enhanced prosthetic functionality and user experience. © 2025 IEEE.

关键词： Genetic algorithms

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Energy-efficient Real-time Computer Vision Applications in Practice

Energy-efficient Real-time Computer Vision Applications in P...

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conference on Real-Time processing of Image, Depth, and Video information

作者： Kramer, Mark A. M. Roth, Peter M. Univ Vet Med Vet Pl 1 A-1210 Vienna Austria

ISBN: (纸本)9781510673199;9781510673182

For many practical applications, we face the problem that computer vision systems must be installed in the wild, without or with a limited permanent power supply. Therefore, computationally and energy efficient solutions are needed. In particular, in this work, we show that the meaningful use of single-board computers (SBCs) can help achieve these goals. This is in line with the goals of Green AI. In particular, we show that the computer vision algorithms adopted on SBCs yield competitive results compared to high-performance computing devices. To this end, in addition to quantitative performance evaluations, we also measured and compared the power consumption of the algorithmic and technical setup used for various practical problems. These examples demonstrate the practical sustainability of SBCs. They show their performance, reduced power consumption, and lower environmental impact, while still providing real-time performance.

关键词： Computer vision Green AI Medical information systems Real-time video SBC Sustainable IT

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optical tunable differentiator based on microring resonator assisted by low-loss superlattice phase change material 2

Optical tunable differentiator based on microring resonator ...

引用

2nd International conference on optical Communication and optical information processing, OCOIP 2024

作者： Wu, Ziqi Dong, Yida Zhong, Wentao Shen, Mei Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China 518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents a novel microring resonator (MRR)-based all-optical tunable temporal differentiator. By modulating the crystallinity of the ZnS-SiO2/Ge2Sb2Te5 (GST-SL) phase change material (PCM), the coupling regime of the MRR can be precisely adjusted, achieving a differentiation order (α) range of 0.7-1.3. Experimental validation with non-return-to-zero (NRZ) and return-to-zero (RZ) signal types demonstrates a strong alignment with theoretical models, maintaining an error margin below 7.3%, which confirms the device's high adjustability and stability. The proposed tuning mechanism enables low-energy, high-speed optical control of MRR states, contributing to optimized chip area and power consumption. Supported by the unique characteristics of the superlattice structure, this all-optical tunable differentiator offers promising potential for large-scale AI-driven photonic integrated circuits, particularly in applications such as optical analog computing, optical image processing, and optical neural networks. © 2025 SPIE.

关键词： Photonic integrated circuits

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Design of photovoltaic radio energy transmission system based on NSGA-II

Design of photovoltaic radio energy transmission system base...

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2024 International conference on Signal processing and Communication Security, ICSPCS 2024

作者： Zhou, Jiacheng Ma, Jun Wang, Hongxiang Chen, Bohang Institute of Computer Science Qinghai Normal University Qinghai China Institute of Physics and Electronic Information Engineering Qinghai Normal University Xining Qinghai China

ISBN: (纸本)9781510681699

In order to efficiently apply Wireless Power Transfer (WPT) technology in photovoltaic (PV) systems, mathematical modeling and mechanism analysis of Magnetic Coupling Resonant Wireless Power Transfer (MCR-WPT) systems were conducted. By employing the multi-objective genetic algorithm (NSGA-II) and an adjustable coupling distance LCC-S topology, the reliability of power supply was ensured. The results demonstrate stable charging efficiency, strong adaptability, and high potential for widespread application. © 2024 SPIE.

关键词： Genetic algorithms

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Sports Training Assistance system using Dynamic Data processing System based Improved Cat Optimization Algorithm

Sports Training Assistance system using Dynamic Data Process...

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2024 International conference on Intelligent algorithms for Computational Intelligence systems, IACIS 2024

作者： Sun, Yu'an Gao, Han Chengdu University of Traditional Chinese Medicine Chengdu China

ISBN: (纸本)9798350360660

In recent years, the field of Artificial Intelligence (AI) and sports applications, computer vision is quickly evolving as a technology. However, the existing models required precise information to be delivered, and it was a crucial task to have several sensor devices. Therefore, a Dynamic Data processing System (DDPS - ICOA) incorporating an Improved Cat Optimization method is developed in this research for the purpose of recognizing human posture. The model initially integrated the auxiliary teaching system and adjust the standard motion database. The trainers are presented with data that is visually appealing of user movements are related with the conventional actions. With the ability to identify and show video files, the system's overall performances component provides educators with an intelligent teaching platform. According to the results. it illustrated that suggested DDPS - ICOA method achieved better performances in terms accuracy of 99.84%, Efficiency ratio of 98.58% and Error range of 20.27%. which is comparatively higher when compared to existing models such as Hidden Markov Model (HMM), Intelligent Controller System (ICS) and Decision Support systems (DSS). © 2024 IEEE.

关键词： Data accuracy

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A Novel Environment Reconstruction Method based on Distributed NLOS Signals 16

A Novel Environment Reconstruction Method based on Distribut...

引用

16th International conference on Signal processing systems, ICSPS 2024

作者： Yu, Fangrui Li, Junlin Xie, Wei Zhang, Kehao Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Integrated Sensing and Communication (ISAC) is a rapidly evolving field with extensive application prospects. Environmental reconstruction (ER) is an important content of ISAC. Existing ER techniques often require large sample sizes or specific signals, which significantly limit their application. User Equipments (UEs) widely distributed in the environment and their communication signals provide an adequate measurement basis. However, there are challenges in utilizing communication signals due to limited research, and difficulties in identifying and extracting Non-Line-of-Sight (NLOS) signals. This paper proposes a distributed ER algorithm based on Angle of Arrival (AOA) and Time of Flight (TOF) information of NLOS signals, enabling identification and utilization of various order NLOS signals under complex NLOS conditions. A series of simulation delays validate the effectiveness of the proposed method. © 2025 SPIE.

关键词： Non line of sight propagation Reflection Reconstruction algorithms Mirror pointing Signal processing Environmental sensing Wireless communications

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Machine Learning for Signal processing: Kernel-extreme Learning Machines with Augmented Complex-valued and Mixture Correntropy Techniques 16

Machine Learning for Signal Processing: Kernel-extreme Learn...

引用

16th International conference on Signal processing systems, ICSPS 2024

作者： Lin, Bingqing Wang, Yan Guan, Yunhe Qian, Guobing College of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9781510689251

In this paper, we propose novel machine learning algorithms for signal processing applications based on kernel-extreme learning machines (KELM) and its variants. Specifically, we focus on the use of complex domain and mixture correntropy techniques to enhance the performance and generalization ability of KELM. Two models are derived by augmenting a complex-valued extreme learning machine with kernel functions, minimizing human intervention while enhancing accuracy. Furthermore, we extend the mixture correntropy-based kernel extreme learning machine (MCKELM) to complex domains, resulting in the MCKCELM algorithm, capable of solving prediction problems in complex domains. To further improve the performance of MCKCELM, we apply an augmented matrix to derive two variant models, and demonstrate their convergence through experiments. All models presented in this paper are regularized models specifically designed for signal processing tasks. © 2025 SPIE.

关键词： Adversarial machine learning

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Application of artificial intelligence algorithm model in fault diagnosis of interactive information 6

Application of artificial intelligence algorithm model in fa...

引用

6th International conference on Image, Video processing, and Artificial Intelligence, IVPAI 2024

作者： Jin, Hulin Jin, Zhiran Kim, Yong-Guk International Institute of Engineering Psychology DenverCO80202 United States Foothill Preparatory School Temple CityCA91780 United States Department of Computer Engineering Sejong University Seoul05006 Korea Republic of

ISBN: (纸本)9781510681781

Interactive information fault diagnosis technology is a new type of fault diagnosis technology which is integrated by information fusion, artificial intelligence, computer science and other disciplines. It can extract interactive information data of equipment in real time, analyze the characteristics of fault information, and then find the change and trend of equipment operating status. However, there are still some shortcomings in the practical application of this technology, for example, it is difficult to deal with a large number of complex interactive information data, and it is difficult to carry out effective fault diagnosis. Therefore, an intelligent fault diagnosis method with improved grey relational degree is proposed in this paper. This method can effectively extract the interactive information feature data of the equipment, and carry out the correlation analysis of the fault feature data through the grey correlation analysis algorithm, which provides a new idea for the fault diagnosis of the equipment. © 2024 SPIE.

关键词： Correlation coefficients Evolutionary algorithms Matrices Artificial intelligence Fuzzy logic algorithms Data processing Algorithm development Feature extraction Intelligence systems

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Design and research of electric vehicle DC charging pile monitoring system based on LabVIEW 3

Design and research of electric vehicle DC charging pile mon...

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3rd International conference on Electronic information Engineering and Data processing, EIEDP 2024

作者： Yang, Aihua Fang, Tianke Serrano, Elcid A. Chi, Yusen Liu, Fucai Chen, Zhenxiang School of Information Technology Mapua University Manila Philippines School of Information Media Zhangzhou Vocational College of Science and Technology Fujian Zhangzhou China School of Computing and Information Engineering Xiamen University of Technology Fujian Xiamen China Information Technology Teaching and Research Group Fujian Economic School Fujian Fuzhou China Dean's office Zhangzhou Vocational College of Science and Technology Fujian Zhangzhou China

ISBN: (纸本)9781510680531

With the rise in environmental awareness and the promotion of new energy vehicle policies, the electric vehicle (EV) market is rapidly expanding. Direct current (DC) charging stations, as a crucial infrastructure for electric vehicle charging, have made the design and optimization of their monitoring systems especially important. This study aims to design and implement an efficient and reliable DC charging station monitoring system for electric vehicles using the LabVIEW platform. The system primarily achieves real-time data collection, signal processing, State of Charge (SoC) estimation, and user interface optimization. Through Geographic information systems (GIS) and big data analysis, this study also assesses the spatial distribution and accessibility of charging stations to promote the rational layout of charging infrastructure. Experimental results show that the developed monitoring system can effectively improve charging efficiency, reduce system response time, and enhance user experience. Moreover, system performance is further improved through optimization using genetic algorithms and simulated annealing algorithms. The research results provide technical support and practical guidance for the development of electric vehicle charging infrastructure, playing a significant role in promoting the sustainable development of the electric vehicle industry. © 2024 SPIE.

关键词： Genetic algorithms

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Method for Regularized Estimation of the optical Flow Velocity Field in Computer Vision systems

Method for Regularized Estimation of the Optical Flow Veloci...

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2024 Intelligent Technologies and Electronic devices in Vehicle and Road Transport Complex, TIRVED 2024

作者： Sokolov, S.V. Marshakov, D.V. Reshetnikova, I.V. Chub, E.G. Moscow Technical University of Communications and Informatics Moscow Russia Rostov State University of Economics Rostov Russia Don State Technical University Rostov-on-Don Russia Rostov State University of Economics Rostov-on-Don Russia

ISBN: (纸本)9798331518707

For computer vision systems that use monocular methods for determining the motion of a video camera based on algorithms for calculating optical flow parameters are proposed method velocity field estimates that are resistant to spatiotemporal interference. The current estimate of the optical flow parameters is formed by minimization of the integrand augmented energy functionality regularizing components: according to Tikhonov and taking into account the continuity of the velocity field in time. In comparison with the known procedure for estimating the velocity field by minimizing full energy functionality using optical flow values for the entire scanning area and requiring a significant amount of calculations, the implementation of the proposed method uses optical flow measurements at only one point in the scene. The simple analytical form of the obtained solution is easily implemented in on-board computers. The conducted numerical experiment illustrates the possibility of practical application of the proposed approach in computer vision systems ensuring the functioning of the systems spatial orientation and positioning of autonomous devices general purpose robots, Earth surface sensing complexes electrodynamic, mechanical, and other systems. © 2024 IEEE.

关键词： optical flows

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