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检索条件"任意字段=8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023"

共 442 条记录，以下是1-10 订阅

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2023 8th international conference on intelligent computing and signal processing, icsp 2023

2023 8th International Conference on Intelligent Computing a...

引用

8th international conference on intelligent computing and signal processing, icsp 2023

ISBN: (纸本)9798350302455

the proceedings contain 432 papers. the topics discussed include: consistent sensing algorithm for distributed PV station area line loss anomaly fluctuation based on spectral clustering;video anomaly detection based on multiple instance 3D channel attention;transformer-based Siamese neural network face verification method;a network structure for rehabilitation training evaluation based on transformer;intelligent evaluation model of fetal health based on PCA and stacking algorithm;attention feature selection based on prior knowledge injection;analysis and prediction of heart disease based on machine learning algorithms;point cloud simplification method based on two-fold neighboring feature preservation;multi-strategy fusion improved Archimedes optimization algorithm;a video captioning method based on visual-text semantic association;and an Improved DVB-S2 phase coarse synchronization algorithm and Its FPGA implementation.

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2024 9th international conference on intelligent computing and signal processing, icsp 2024

2024 9th International Conference on Intelligent Computing a...

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9th international conference on intelligent computing and signal processing, icsp 2024

ISBN: (纸本)9798350376548

the proceedings contain 359 papers. the topics discussed include: parallel channel separate attention network for concealed object detection in millimeter-wave images;YOLOv8 detection head improvements for FPGA deployments;improving the performance of OPTICS on short text clustering by isokernel and UMAP;robust multi-object tracking with CVAE motion model for maritime vessels;molecular property prediction based on graph contrastive learning;a novel design and simulation of band-pass filter for the 5G System based on MEMS;transcending information cocoons: integrating TransR embeddings with tensor decomposition in recommender systems;topic analysis of Chinese documents based on key phrases and latent Dirichlet allocation model;and real-valued beamspace direct position determination for multi-station systems.

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DYTC:Dynamic Graph Triangle Counting on GPU 24

DYTC:Dynamic Graph Triangle Counting on GPU

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8th international conference on Algorithms, computing and Systems, ICACS 2024

作者： Wang, Zhuo Li, Zhixiong Tu, Jinxing Huang, Jianqiang Department of Computer Technology and Applications Qinghai University Xining China Intelligent Computing and Application Laboratory of Qinghai Province Qinghai University Xining China

ISBN: (纸本)9798400718304

Triangle counting is a critical problem in graph theory and network analysis, with widespread applications in social network analysis, network science, and bioinformatics. Dynamic graphs are extensively utilized in various domains and are prevalent in real-world scenarios. Over time, dynamic graphs necessitate frequent updates, where vertices and edges are inserted, deleted, or modified. However, existing dynamic graph analysis methods often focus solely on the data structure of dynamic graphs, neglecting the algorithms for dynamic graph processing. Current triangle counting methods are typically designed for static graphs and are not suited for continuously updated dynamic graphs. In this paper, we propose an incremental triangle counting algorithm tailored for dynamic graphs, which only requires recomputing the affected subgraph caused by updated edges, rather than the entire graph. Consequently, in comparison to the previous algorithm, our algorithm is capable of attaining a maximum speedup of . © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Graph algorithms

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Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse signal Measured with Help of Deep Learning Algorithm 8th

Mental Stress Assessment in Working Environment for an Indiv...

引用

8th IFIP TC 12 international conference on Computer, Communication and signal processing, ICCCSP 2024

作者： Karthikeyan, M.V. Bhuvaneshwar, S. Nishanth, V. Department of Electronics and Communication Engineering St. Joseph’s Institute of Technology OMR Tamil Nadu Chennai60019 India

ISBN: (纸本)9783031736162

thanks to artificial intelligence (AI), machines will eventually have the same emotional impact as humans. Deep emotions, not just words, are used by this "affective computing" to engage with humans. Bypassing societal masks, sensors like the EEG and GSR are able to sense our genuine feelings. However, creating robots that are actually sensitive to our emotions is challenging. To build genuinely emotionally intelligent machines, we need to improve the methods we use to choose, arrange, and evaluate these signals. this paper propose a method for assessing mental stress in the workplace in real-time using deep learning algorithms in conjunction with wearing EEG and GSR. the major goal is to make computers smarter emotionally so that they can change the way people interact with computers (HCI). Our proposed system can discreetly track a worker’s emotional and psychological well-being as they go about their daily tasks. By combining electroencephalogram (EEG) and pulse signal analysis, our system is able to record not only the mental but also the physiological reactions to mental stress. © IFIP international Federation for Information processing 2025.

关键词： Wearable sensors

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Graph-Based Modeling for Multi-input Temperature Prediction in Power Plant 8th

Graph-Based Modeling for Multi-input Temperature Prediction...

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Gang, Yusen Peng, Chen Cheng, Chuanliang Shanghai University Shangda Road Baoshan District Shanghai99 China

ISBN: (纸本)9789819602247

the operational efficiency and safety of thermal power generation units are intricately dependent on the precise control of combustion chamber temperatures. Accurate temperature prediction is indispensable for optimizing boiler combustion efficiency and swiftly identifying abnormal operational conditions. In this research, we propose an innovative end-to-end data-driven model designed to address the inherent complexity of multi-input multi-output temperature prediction. By fusing temperature data with a graph-based framework and harnessing spatiotemporal attention mechanisms, our model, underpinned by Graph Convolutional Network and Transformers, adeptly captures intricate spatial relationships among output variables. Empirical validation using real-world plant data attests to the model’s exceptional predictive performance. the results highlight its potential to significantly enhance temperature prediction accuracy in power plant operations. Notably, the model achieves a root mean squared error of 2.257 and a mean absolute error of 1.803 as the best prediction scores. Overall, our proposed approach presents a promising solution for the accurate prediction of temperature, with potential implications for improving operational efficiency and safety in thermal power generation units. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep Learning intelligent computing signal Analysis signal processing Systems Modelling

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Design of Cloud-Edge-End Collaborative Framework for Power Supply intelligent Inspection Operation Scenario Based on Unmanned Aerial Vehicle

Design of Cloud-Edge-End Collaborative Framework for Power S...

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IEEE Information Technology and Mechatronics Engineering conference (ITOEC)

作者： Wei Wang Ping Qiu State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China Zhejiang International Studies University Hangzhou China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

As a new type of tool with powerful perception, monitoring, and emergency response capabilities, unmanned aerial vehicles (UAVs) have the characteristics of flexibility, maneuverability, and high-altitude inspection. UAVs can greatly improve the efficiency of power facility maintenance and repairing, reduce personnel risks, and have gradually become an important auxiliary means for power supply operation and management. Currently, research on cloud-edge collaborative computing using UAVs has been applied to power systems, especially in their daily maintenance. However, there is not much discussion on building a systematic UAV-based cloud-edge collaboration system, especially to meet the requirements of power supply companies. Aiming at the problems such as the limited distance of image transmission, the lack of timeliness and visualization of image data processing in the application process of UAVs, in this paper, a "cloud-edge-end" collaborative framework has been proposed to achieve fast data return over the distance under signal coverage, and use the characteristics of local edge computing to quickly solve image preprocessing.

关键词： Power supplies Clouds Collaboration Inspection Autonomous aerial vehicles Cameras Electricity supply industry Real-time systems Maintenance Edge computing

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An Inverse Halftoning Method Using Invertible Neural Network 8

An Inverse Halftoning Method Using Invertible Neural Network

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8th international conference on intelligent computing and signal processing, icsp 2023

作者： Zhang, Huajian Mu, Dazhong Cao, Peng Beijing Institution of Graphic Communication Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipment Beijing China

ISBN: (纸本)9798350302455

In this paper, we propose an inverse halftoning method based on Invertible Neural Network (INN), using grayscale images and halftone images as paired inputs for training. the proposed method yields enhanced quality for inverse halftone images in comparison to previous work, as demonstrated through measurements of peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) between the resultant inverse halftone image and the original continuous-tone image. Furthermore, the INN's inherent capacity enables us to accurately reconstruct the original halftone image from the inverse halftone image. © 2023 IEEE.

关键词： Image reconstruction

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intelligent control test platform system design based on PID control algorithm 8

Intelligent control test platform system design based on PID...

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8th international conference on intelligent computing and signal processing, icsp 2023

作者： Xu, Jiaqi Xi'an Polytechnic University School of Electrical and Mechanical Engineering Xi'an China

ISBN: (纸本)9798350302455

this study explores the control application of incremental PID control algorithms in an intelligent control experimental platform and verifies its feasibility. Based on the control model of the intelligent control experiment platform, we deeply analyze the impact of the digital incremental PID algorithm on the tracking and stable output waveform in the closed-loop control process. the results show that the algorithm is simple to implement, has good control effect and is less prone to oscillation. © 2023 IEEE.

关键词： intelligent control

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Research and Design of Narrowband conference System Based on Hybrid Networking 8

Research and Design of Narrowband Conference System Based on...

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8th international conference on intelligent computing and signal processing, icsp 2023

作者： Chen, Zhikun Zhao, Yu Wang, Lu Ding, Qianyun Yang, Wenfang Unit 91977 People Liberation Army of China Beijing China Sumavision Corporation in Beijing Beijing China

ISBN: (纸本)9798350302455

Based on the analysis of the current situation of video conferencing and the characteristics of satellite network environments, and in view of the environmental characteristics of ground satellite hybrid networking, this article proposes the research, design, and implementation of a narrowband conferencing system based on channel adaptation and modular processing ideas and methods, to improve the efficiency of remote audio and video communication in special network environments, and provide technical support for remote consultation, emergency relief, telemedicine, and mission support. © 2023 IEEE.

关键词： Video conferencing

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Research on risk assessment method of road risk grade assessment 8

Research on risk assessment method of road risk grade assess...

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8th international conference on intelligent computing and signal processing, icsp 2023

作者： Pu, Shaoxin Chang'an Dublin International College of Transportation Chang'an University Xi'an China

ISBN: (纸本)9798350302455

this article studies big data technology, analyzes the relationship between various factors of urban road traffic and the occurrence of traffic accidents, and establishes a prediction model based on this. By collecting and processing a large amount of traffic data, including traffic flow, speed, weather, and other information, and combining historical traffic accident records, a prediction model based on machine learning was constructed. the model can monitor road traffic conditions in real time and predict the probability of traffic accidents. In addition, we have also verified and evaluated the model, proving its accuracy and practicality. this research contributes to improving the efficiency of traffic management and road safety, and has important practical significance. © 2023 IEEE.

关键词： Forecasting

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