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共 15478 条记录，以下是21-30 订阅

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Deep Learning Model Development for an automatic Healthcare Edge computing Application 5th

Deep Learning Model Development for an Automatic Healthcare ...

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5th international conference on Data science, Machine Learning and Applications

作者： Talal, Hadi Khamis, Ruaa Ali Al-Frady, Laith Middle Tech Univ Baghdad Iraq

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Deep learning (DL) is assisting academicians and medical professionals in uncovering latent opportunities in data and enhancing the healthcare industry. The edge computing applications like smart healthcare systems where accurate decision-making is required for fast medical treatment. DL in healthcare allows clinicians to correctly analyze any ailment and treat it, resulting in improved medical decisions. We present a unique DL model for the autonomous healthcare edge computing application in this paper. Computer Aided Diagnosis (CAD) is an essential requirement of healthcare edge computing where the patient's medical data is used for fast and accurate disease prediction. Propose the DL-based CAD model for automatic disease classification from the input medical images. The model consists of pre-processing, DL-based feature engineering, and classification. Input medical image is first pre-processed for quality improvement and then automatic features are extracted using the pre-trained DL models (ResNet50 and Densenet201). The pre-trained models are improved by performing the feature scaling followed by a separate classification phase. The proposed CAD model is experimentally evaluated using the medical images dataset. The results reveal the efficiency of the proposed model compared to underlying solutions.

关键词： automatic classification deep learning edge computing features engineering healthcare image processing

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A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster 15

A Framework for Real-Time Monitoring of Power Consumption of...

引用

15th international conference on Cloud computing and Services science, CLOSER 2025

作者： Krechowicz, Adam Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology al. 1000-lecia PP 7 Kielce Poland

ISBN: (纸本)9789897587474

This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the context information about the performed calculation. The first part of the framework is devoted to monitoring the power consumption during the execution of machine learning algorithms and the performance of NoSQL storage. The second part is dedicated to the testing of distributed data storage, called Scalable Distributed Two-Layered Data Structure (SD2DS). The results show that the framework can be used in the development of a management system that could schedule computations to take full advantage of renewable energy. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Cluster computing

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A Survey on Application of Computational Technique for Two Area Interconnected automatic Generation control in Power System Using PSO-PID

A Survey on Application of Computational Technique for Two A...

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2025 IEEE international Students' conference on electrical, Electronics and Computer science, SCEECS 2025

作者： Yadav, Arpit Prasad, Lal Bahadur Kumar, Rajan Central Institute of Technology Kokrajhar Department of Electrical Engineering Assam Kokrajhar783370 India Madan Mohan Malaviya University of Technology Department of Electrical Engineering U.P. Gorakhpur273010 India

ISBN: (纸本)9798331529833

In this paper the various computational approaches for automatic generation control (AGC) of power systems is covers, with the goal of improving the automatic voltage regulator (AVR) and load frequency control (LFC) that are utilized with proportional integrative and derivatives (PID) controllers. PID tuning has long been a main area of current study, and PID controllers, sometimes known as proportional integrative and derivatives, are utilized in industry. The techniques being reviewed are conventional methods designed for PID based PSO optimization strategies that fit tuning requirements. Power engineering research and development now places a strong emphasis on optimization due to the growing requirement for energy. This paper deals on the electric power system applications of two area interconnected PSO based PID computational techniques to inspires power sector to uncover fresh information about the ideal rate of energy provision because of its creative application. © 2025 IEEE.

关键词： Three term control systems

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Shape Estimation of Travel Path Using Reservoir computing for Water-Driven Soft Robot 11

Shape Estimation of Travel Path Using Reservoir Computing fo...

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Mieno, Junya Sumioka, Hidenobu Takuma, Takashi Osaka Institute of Technology Department of Electrical and Electric Systems Engineering Osaka Japan Atr Kyoto Japan

ISBN: (纸本)9798331509293

A soft robot has a significant advantage regarding its locomotion that it can change its shape passively based on its path shape variations. In this study, we adopt reservoir computing (RC), a kind of recurrent neural network, to classify five types of path shapes based on the inner pressure in the flexible chambers of the developed robot. By using small sets of the time-varying pressure waveform, we found that RC with an appropriate number of neurons could accurately classify the path shapes. © 2025 IEEE.

关键词： Industrial robots

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Research on automatic collection method of electrical quantity data in AC power system of smart substation

Research on automatic collection method of electrical quanti...

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2024 international conference on Physics, Photonics, and Optical engineering, ICPPOE 2024

作者： Su, Jing Department of intelligent manufacturing Shandong Vocational College of Science and Technology Shandong Weifang261053 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

The distribution station is characterized by a large number of stations, wide distribution, and its importance is relatively lower than that of substations. In communication, it is impossible to transmit electric energy data through optical fiber and dial-up. In this case, power carrier transmission will be the best transmission mode. In this paper, multi-channel technology is introduced, and a star-shaped multi-channel wireless sensor network is constructed, which is specially used to collect the running signals of electrical equipment in substation AC power system in real time. In the constructed multi-channel wireless sensor network structure, after the service center issues a collection instruction, the sensor node will perform the collection task. Through the deep integration of cloud computing and industrial Internet technology for power systems, this study constructs a solution for intelligent monitoring of electrical safety. Finally, this paper verifies the effectiveness of the automatic collection method of electrical quantity data of the AC power system of the smart substation by combining the use of research, providing a theoretical reference for subsequent related research. © 2025 SPIE.

关键词： Optical fibers

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MRI Brain Tumor Classification Using Optimized APSO-LLRBFNN 2

MRI Brain Tumor Classification Using Optimized APSO-LLRBFNN

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2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Krishna, Tiruveedula Gopi Sreenivas, Nune Ajay Kumar, M. Reddy, Chandra Sekhar Rathee, Davinder Sing Urgessa, Teklu College of Electrical Engineering and Computing Adama Science and Technology University Department of Computer Science and Engineering Adama Ethiopia Andhra Loyala institute of Engineering and Technology Department of Electrical and Electronics Engineering Vijayawada India College of Electrical Engineering and Computing Adama Science and Technology University Department of Electrical Power and Control Engineering Adama Ethiopia College of Electrical Engineering and Computing Adama Science and Technology University Department of ECE Adama Ethiopia

ISBN: (纸本)9798331505745

The research presents a new efficient machine learning method to classify brain tumors because this task remains vital in fighting the high incidence of brain cancers. The proposed approach unites all its operations including image segmentation with feature extraction and classification into a single processing system. This study uses Particle Swarm Optimization (PSO) and Adaptive PSO (APSO) methodologies to optimize Locally Linear Radial Basis Function Neural Network (LLRBFNN) resulting in PSO-LLRBFNN and APSO-LLRBFNN model implementations. The research examined the optimized APSO-LLRBFNN models against Support Vector Machines (SVM) and Least Mean Squares (LMS) based LLRBFNN classifier methods. Results from experiments show that APSO-LLRBFNN gives superior outcomes with 98.93% accuracy and takes 12.23 seconds for execution, which surpasses currently available methods. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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Design of automatic temperature measurement and control system of coke jujube production equipment based on PLC 3

Design of automatic temperature measurement and control syst...

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3rd international conference on electrical, Electronics, and Information engineering, EEIE 2024

作者： Wang, Bin Chizhou Vocational and Technical College Anhui Chizhou247000 China

ISBN: (纸本)9781510688179

Due to the difficulty of PID parameters and range adjustment, long response time and small measurement and control automation parameters, the design and research of temperature automatic measurement and control system of coke jujube production equipment based on PLC is proposed. The hardware unit of the design system includes temperature acquisition unit, PLC configuration unit and temperature control unit;the software module includes temperature signal processing module, PLC control program module and limit alarm design module. Through the design of hardware unit and software module, the operation of automatic temperature measurement and control system of flexible production line is realized. The simulation experiment results show that compared with the standard value, the response time of the design system is short, the measurement and control automation parameters are large, which meets the safety requirements of the current flexible production line, and fully shows that the temperature measurement and control performance of the design system is better. © The Authors.

关键词： Temperature measurement

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Research on the architecture of automatic train supervision based on cloud platforms 3

Research on the architecture of automatic train supervision ...

引用

3rd international conference on electrical, Electronics, and Information engineering, EEIE 2024

作者： Shi, Tingting Sun, Hui Zhejiang United Science and Technology Co. Ltd. China Xi'an Rail Transit Group Co. Ltd. China

ISBN: (纸本)9781510688179

The traditional signalling systems have a high degree of independence, leading to high costs in resources and labor. In order to reduce the number of servers and achieve unified management of infrastructure, the automatic train supervision (ATS) subsystem can be incorporated into the cloud platform. The deployment scheme for integrating the servers and workstations in the control center into the cloud platform is described in this paper, based on the characteristics and existing architecture of the signal ATS. On this basis, the deployment mode of each host and the interface scheme between ATS and other systems are described. To ensure the normal use of the system in the event of malfunctions, the ATS subsystem of signal adopts a multi-level redundancy strategy. The integration of the ATS system into the cloud platform can meet the functions of ATS as well as the requirements of high security and reliability. © The Authors.

关键词： Urban transportation

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Design and implementation method of automatic bird repellent based on infrared thermal imaging 3

Design and implementation method of automatic bird repellent...

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3rd international conference on electrical, Electronics, and Information engineering, EEIE 2024

作者： Wang, Tingli He, Qing Feng, Wenhui Wang, Shixin School of Instrument Science and Opto-Electronics Engineering Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781510688179

The design and implementation of a bird repeller based on the MLX90640 infrared sensor is proposed. The system can carry out real-time temperature measurement and accurate bird repellent. After the experimental verification of the ambient temperature, measurement distance and bird repelling effect, this paper sets the threshold of ambient temperature segmentation control algorithm to improve the real-time monitoring of the system and the ability of response speed;the system hardware and software design is carried out. The detection system applies Infrared thermometry technology to effectively improve the effect of bird repellent. © The Authors.

关键词： Software design

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Optimization of Placement and Routing Techniques: Congestion Estimation and control in VLSI Design 5th

Optimization of Placement and Routing Techniques: Congestion...

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5th international conference on Data science, Machine Learning and Applications

作者： Nagendra, Vanganuru Manavalan, Saravanan Vel Tech Rangarajan Dr Sagunthala R Inst Sci & Te Dept ECE Chennai Tamil Nadu India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

The rapid advancement of integrated circuit (IC) technology has increased the demand for efficient and effective VLSI optimization methods. This paper presents a systematic literature review as well as a conceptual framework for optimizing placement and routing congestion estimation and control in VLSI design. This paper review existing algorithms, optimization techniques for placement and routing, congestion estimation, and control mechanisms. The goal is to comprehend the advantages, disadvantages, and applicability of these algorithms in addressing VLSI design problems. Furthermore, the research proposal seeks to create a comprehensive approach that incorporates various optimization techniques to improve the overall performance of integrated circuits. The estimation and control of routing congestion receive special attention because it has a significant impact on signal flow and overall circuit quality. The preferred programming platform for implementing the proposed methodology is the MATLAB technical computing language, along with the required toolboxes. This research aims to contribute to the advancement of efficient and reliable IC designs by addressing the key challenges in VLSI design using an optimized placement and routing framework.

关键词： Placement Integrated Circuit Optimization Congestion VLSI

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