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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2955 条记录，以下是231-240 订阅

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Deep Reinforcement Learning algorithms for Low Latency Edge Computing Systems 3

Deep Reinforcement Learning algorithms for Low Latency Edge ...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Kumaran, K. Sasikala, E. SRM Institute of Science and Technology Chennai India Department of Information Technology Easwari Engineering College Chennai India SRM Institute of Science and Technology Kattankulathur Department of Data Science & Business Systems Chennai India

ISBN: (纸本)9798350320749

Nowadays, due to the increase of technological development in smart devices, more computational capabilities are needed with better performance. The maximization of the cloud computing resources used in mobile networks and Internet of Things makes good results. The data processing along with delay in the communication network will be easily handled by edge computing technology. The edge server brought as much as close to the end devices to avoid the frequent cloud access. In edge servers, the processing of the computational task is time consuming, which causes latency. The inference of deep learning along with reinforcement models makes the better resource allocation and task scheduling for complex systems. In this work, deep reinforcement models like Q learning, Double Q learning, Deep Q network, Double Deep Q learning has been compared. The developed Deep Reinforcement learning model has been deployed in the edge-based system. As a result, it is inferred that Double Deep Q learning is having the ability to make better decisions in resource allocation by maximizing the gains and rewards. The simulation result shows that Double Deep Q learning performs better with decreased latency and increases the performance of the edge systems. © 2023 IEEE.

关键词： Reinforcement learning

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Multispectral low light level image fusion technique

Multispectral low light level image fusion technique

引用

3rd international conference on signal processing (ICSP 96)

作者： Hu, JH Bai, LF Kong, J Liu, B Wang, LP Zhang, BM School of Electronic Engineering & Optoclectronic Technique Nanjing University of Science and Technology of PLA Nanjing China

ISBN: (纸本)7505338900

Multispectral image fusion is a kind of process of synthesis and processing for multispectral image data. On the basis of optoelectronic imaging technique, the imaging process & feature of low light level(LLL) TV system are analyzed & the principle and processing construction of multispectral LLL TV image fusion are discussed. The proper combination of low light level camera and optical filters is used to implement multispectral image fusion experiment at night for outdoor static scene by the aid of computer. The results of experiment indicate that multispectral low light level image fusion has improved the capability for recognizing targets.

关键词： spectral analysis sensor fusion image processing optical filters television cameras military equipment image sensors television applications multispectral low light level image fusion image synthesis image processing multispectral image data optoelectronic imaging technique imaging process low light level TV system low light level camera optical filters multispectral image fusion experiment night vision outdoor static scene target recognition military reconnaissance

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Bio-signal Activated FPGA-based System for Robotic-Assisted Rehabilitation 3

Bio-signal Activated FPGA-based System for Robotic-Assisted ...

引用

3rd international conference on Robotics, Automation and Artificial Intelligence (RAAI)

作者： Pillai, Hrishikesh H. Priya, Lal P. S. Ekanayaka, Kavinga Upul Suthakorn, Jackrit Pillai, Branesh M. APJ Abdul Kalam Technol Univ Coll Engn Trivandrum Thiruvananthapuram Kerala India ACCELR Colombo Western Provinc Sri Lanka Mahidol Univ Fac Engn Ctr Biomed & Robot Technol BART LAB Salaya Nakhon Pathom Thailand

ISBN: (纸本)9798350307573;9798350307566

This paper presents a pivotal contribution to multimodal bio-signal processing for robotic control applications, leveraging cutting-edge Field Programmable Gate Array (FPGA) technology to unlock new frontiers in accuracy, efficiency, and real-time control. The comprehensive hardware implementation strategy is characterized by the strategic utilization of a Fast Fourier Transform/ Inverse Fast Fourier Transform (FFT/IFFT) - based filtering algorithm optimized for Electroencephalography (EEG) signal processing. Concurrently, an inventive movement classification methodology powered by Electrooculography (EOG) signals is introduced. The core proposition of the paper revolves around the implementation of an EEG and EOG-driven Multi Input Single Output (MISO) control system, intended for the control of rehabilitation robots. The effectiveness of the proposed method was verified by simulation in LabVIEW. The algorithm has been seamlessly integrated into the MyRio 1900 hardware platform, leveraging the immense processing power of a Xilinx FPGA.

关键词： Robotic-assisted rehabilitation bio-signal FFT/IFFT filter FPGA

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Nonlinear Characteristics Modeling of RF Receiver Components and its Impact 3

Nonlinear Characteristics Modeling of RF Receiver Components...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Tang, Anping Chengdu Tengnuo Technology Co. Ltd Chengdu China

ISBN: (纸本)9798350317022

This paper conducts a thorough investigation into the nonlinear characteristics of RF receiver components and their significant impact on modern wireless communication systems. Nonlinearities within these components can introduce signal distortion, harmonic generation, and degrade overall system performance. The research explores diverse nonlinear modeling techniques, encompassing physics-based modeling and mathematical simulation, to comprehensively understand and characterize these nonlinear effects. The study delves into methods for accurate measurement data collection and processing to capture nonlinearities effectively. Additionally, it scrutinizes the implications of nonlinear characteristics on RF receiver performance, particularly focusing on signal distortion, power amplifier nonlinearities, and their consequential effects on system errors. In addressing the challenges posed by nonlinearities, the paper discusses strategies for compensation and optimization. This involves the development of adaptive algorithms and techniques aimed at enhancing the adaptability of RF receiver components in the presence of nonlinear effects. The findings underscore the critical importance of understanding and mitigating nonlinearities for achieving optimal performance in wireless communication systems. © 2023 IEEE.

关键词： modeling Nonlinear characteristics RF receiver components signal distortion

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Learning-Based signal Detection for OFDM Systems with I/Q Imbalance 3

Learning-Based Signal Detection for OFDM Systems with I/Q Im...

引用

3rd IEEE international conference on Information Communication and signal processing (ICICSP)

作者： Ou, Jinglan Wang, Jiaying Peng, Qihao Zhu, Xingxin Wu, Haowei Chongqing Univ Sch Microelect & Commun Engn Chongqing Peoples R China Chongqing Univ Ctr Commun & Tracking Telemetry Command Chongqing Peoples R China Chongqing Key Lab Space Informat Network & Intell Chongqing Peoples R China

ISBN: (纸本)9781728188232

The in-phase/quadrature (I/Q) branches imbalance leads to mirror subcarrier interference and worsens the performance of zero-intermediate frequency (zero-IF)-based orthogonal frequency division multiplexing (OFDM) systems. To tackle the signal detection issue of in-phase/quadrature imbalance (IQI) at the transceiver, a deep learning-based approach is proposed by using the convolutional neural network. Specifically, the network model and parameters are well-designed based on the features of the channel impulse response and the mirror interference of IQI. To verify the designed model, it is first trained by simulated data under the off-line training and then used directly to recover the on-line transmitted data. The simulation results demonstrate that the proposed method shows excellent performance in processing OFDM signals under the case of IQI and it is more robust than traditional methods even without cyclic prefix.

关键词： deep learning in-phase/quadrature imbalance OFDM signal detection

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Research on Intelligent data Mining and processing System Based on Computer Genetic Algorithm 3

Research on Intelligent Data Mining and Processing System Ba...

引用

2023 IEEE 3rd international conference on data Science and Computer Application, ICDSCA 2023

作者： Chen, Xin Zhenjiang Vocational Technical College Zhenjiang China

ISBN: (纸本)9798350341546

In this paper, a genetic algorithm for DSS modeling is proposed by integrating GA and DSS. Firstly, SOFM algorithm is used to convert the quantized sample information into semantic value. The decision system is transformed into a fuzzy set of semantic values. The original fuzzy interval is reduced by using fuzzy set similarity analysis and fusion method. This enhances the credibility of the model. Then genetic algorithm is used to further optimize the rules obtained. The corresponding data were selected from UCI database as the test object. The correctness of the method applied in quantitative data is verified. © 2023 IEEE.

关键词： Computer data mining processing system genetic algorithm

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Simulation Research on Improving Efficiency of Electronic Information Transmission in Big data Environment 3

Simulation Research on Improving Efficiency of Electronic In...

引用

3rd IEEE international conference on Electronic Communications, Internet of Things and Big data, ICEIB 2023

作者： Jia, Junchao Qingdao Huangdao District Public Employment and Talent Service Center Qingdao China

ISBN: (纸本)9798350333862

Optimizing and controlling the efficiency of electronic information transmission in big data processing significantly reduce the execution cost on the Internet. In addition, the node distance function obtains the gap between nodes during the transmission process, monitoring the efficiency. However, traditional methods often suffer from the maximum latency of a data packet chain by providing the maximum bandwidth, while neglecting the gap between nodes, resulting in low monitoring efficiency. By using genetic principles, the differences between nodes are obtained in information transmission, and an efficient management mechanism is established. Then, the routing method for data transmission is optimized. Based on this, efficient management of electronic information is achieved. The experimental results show that the proposed method has satisfactory control accuracy and improves the sensitivity of data transmission, real-time efficiency, and safety and reliability. © 2023 IEEE.

关键词： Big data

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Optimal data dissemination over wireless network 3

Optimal data dissemination over wireless network

引用

3rd IEEE international conference on Sensing, signal processing and Security, ICSSS 2017

作者： Kalyan Chakaravarthi, P. Suriyakrishnaan, K. Sujatha, K.S. Dept. of Electronics Andcommunication Engineering Easwari Engineering College Chennai India

ISBN: (纸本)9781509049295

data dissemination is big issue to mobile users using a wireless network. Wireless networks face many difficulties like limited resources and high susceptibility to harsh environmental conditions that have to be considered carefully. The load-balancing algorithm can afford the accelerate path to reach the destination without any packet loss. After the nodes being allocated the data will be transferred to the sink and is secure to the control host, which issues commands and configures the network. In the modification process a general framework for the use of wireless networks using load-balancing to alteration the data and monitoring with emphasis on Authentication and security during the data transfer is proposed. © 2017 IEEE.

关键词： data transfer

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A Gesture Perception Algorithm Using Compact One-Dimensional Representation of Spatio-Temporal Motion-Field Patches

A Gesture Perception Algorithm Using Compact One-Dimensional...

引用

3rd international conference on signal processing and Communication Systems

作者： Bao, Ruihan Shibata, Tadashi Univ Tokyo Dept Elect Engn 7-3-1 Hongo Tokyo 113 Japan Univ Tokyo Dept Elect Engn & Informat Syst Tokyo 113 Japan

ISBN: (纸本)9781424444731

In this paper we propose a gesture perception algorithm using compact one-dimensional representation of spatio-temporal motion-field patches. At the learning stage, motion-field patches are randomly extracted and stored as templates. When generating feature vectors for video sequences, we compare stored templates with video, calculate maximum similarities and save those values as elements of feature vectors. In order to reduce the complexity of patch calculation, we project the spatio-temporal motion data in patches both in space and time spans. Preliminary gesture perception experiments were conducted and promising results are obtained despite its simplified procedures.

关键词： Computer vision

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Design of online traffic monitoring system based on STM32 and Lora 3

Design of online traffic monitoring system based on STM32 an...

引用

3rd international conference on Intelligent Control, Measurement and signal processing and Intelligent Oil Field, ICMSP 2021

作者： Ruirong, Dang Jianyu, Qiao Xi'An Shiyou University Shaanxi Key Laboratory of Drilling Rig Control Xi'an China

ISBN: (纸本)9781665437158

Aiming at the problem of on-line measurement of the flow of oil, gas and water multiphase flow in the production process of oil and gas wells, a set of real-time flow monitoring system based on STM32 and Lora was designed. It realizes realtime monitoring and remote control of flow, temperature and pressure in the production process of oil and gas wells. This system selects STM32F103ZET6 as the main control chip, and uses serial communication to form a data acquisition platform by connecting with sensor acquisition modules such as flow, temperature, and pressure. By using Lora wireless communication technology, real-time measurement data is transmitted to the upper computer and transmitted to Cloud Server. It is verified through the built system experiment platform that the system has the advantages of low power consumption, strong real-time performance, low cost and strong reliability. It has great production guiding significance and value for the optimization of oilfield production and the realization of intelligent well completion. © 2021 IEEE.

关键词： data acquisition

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