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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

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Power-Segmenter: A Multi-Head Semantic Segmentation for Power System 3

Power-Segmenter: A Multi-Head Semantic Segmentation for Powe...

引用

3rd international conference on Energy engineering and Power Systems, EEPS 2023

作者： Wang, Ruoyu Xu, Jialu Yang, Dongyi Zhan, Jiarui University of Liverpool Department of Electrical and Electronic Engineering Liverpool United Kingdom Xi'an Jiaotong-Liverpool University Department of Electrical and Electronic Engineering Suzhou China

ISBN: (纸本)9798350313857

This paper addresses the limitations of traditional computer vision technology and single model training methods in power system status detection and defect recognition. While computer vision technology has greatly enhanced equipment inspection and defect detection capabilities, the current approach of employing single model training for singular tasks has been proven to be inefficient and resource-intensive, leading to suboptimal utilization of data, limited adaptability, and high maintenance costs. This paper introduces a novel multi-task semantic segmentation model for power system condition monitoring, known as Power-Segmenter. This model streamlines multiple tasks into one model and effectively utilizes original feature learning, allowing for shared knowledge and information distillation across tasks, thereby improving data utilization and enhancing model generalization capabilities. From a computational perspective, multi-task learning optimizes efficiency by reducing redundant operations and mitigating the problem of training set imbalance in mixed training. Moreover, the application of this model is highly significant to power systems, as it eliminates redundancy in independent training, reducing the difficulty and cost associated with staff training and facilitating widespread implementation across numerous inspection and operational centers. The findings from this study underscore the potential of multi-task learning in improving the performance and efficiency of computer vision technology in power system status detection and defect recognition, marking a significant attempt in power system safety and stability condition monitoring. © 2023 IEEE.

关键词： Condition monitoring

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Structural design and reliability analysis for the motional test-bed of fuze 3

Structural design and reliability analysis for the motional ...

引用

3rd international conference on electrical engineering and Mechatronics technology, ICEEMT 2023

作者： Zhou, Chao Zhang, Jiayi Hao, Yongping Li, Jingqi Shenyang Ligong University School of Mechanical Engineering Shengyang110159 China Liaoning Provincial Key Laboratory of Advanced Manufacturing Technology and Equipment Shengyang110159 China Shenyang Institute of Technology School of Mechanical Engineering and Automation Fushun113000 China

ISBN: (纸本)9798350303698

In order to completed the construction and reliability analysis for the motional test-bed of fuze, this paper combined the equation of attack to analyzed the motion of fuze. Drew the trajectory for the motion of fuze, and solve the torque borne by the key structure. After that, the finite element strength analysis of the key structure is targeted to solved its theoretical fatigue strength. Finally, the real object was developed according to model of the motional test-bed. The fatigue strength and connection coefficient of the equipment were calculated by the strength-stress interference model, and the reliability of the test-bed was judged by the orthogonal test. The whole process of design, analysis, manufacture and reliability of the test-bed has been completed. © 2023 IEEE.

关键词： Reliability analysis

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Automated Breast Tumor Detection Using MRI Images 3

Automated Breast Tumor Detection Using MRI Images

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Jahan, Mosammat Israt Sazzad, T M Shahriar Armstrong, Leisa Military Institute of Science and Technology Computer Science and Engineering Dhaka1216 Bangladesh OEdith Cowan University Computer Science Perth Joondalup Australia

ISBN: (纸本)9798350345360

Breast tumor is considered as one of the most familiar tumors among women which cause breast cancer. Breast abrasion is observed as a thickened block of cells which forms tumor cell. In this paper, an improved and efficient breast tumor detection approach has been delineated using MRI images which not only provides faster detection but also has better accuracy compared to other existing available works. Numerous abrasion regions which are not considered as breast tumor surrounded by actual breast tumor causes processing issues and hence analysis and identification becomes challenging. To overcome under or over segmentation issues associated with breast tumor local histogram processing was incorporated. Additionally, instead of using conventional filtering approaches in this work mathematical morphological operation was incorporated followed by identification using shape and size features. The approach used in this study indicates an accuracy of 96.41% for conventional method and 96.67% for machine learning based model (CNN). Both approaches have been accepted by the experts' in the histopathology laboratory. © 2023 IEEE.

关键词： Magnetic resonance imaging

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Internet of Things routing protocol with mobility awareness and energy efficiency 3

Internet of Things routing protocol with mobility awareness ...

引用

3rd international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Chauhan, Birendra Kumar Banupriya, M. Venkatagurunatham, K. Sungheetha, Akey Kumari, Ch D V P Karthick, L. Iimt University School of Basic Sciences and Technology Uttar Pradesh Meerut250001 India Hindustan Institute of Technology Department of Computer Science and Engineering Coimbatore India Andhrapradesh Guntur522019 India Adama Science and Technology University School of Electrical Engineering and Computing Department of Computer Science and Engineering Nazareth1888 Ethiopia Aditya College of Engineering Department of Computer Science and Engineering Andhra Pradesh Surampalem533437 India Hindusthan College of Engineering and Technology Department of Mechanical Engineering Coimbatore641032 India

ISBN: (纸本)9798350399264

Internet of things enabled devices are considered one of the technologies for the future and at the same time, the mass use of IoT devices has revolutionised the way of using modern technology. Hence, with the mass implication creating energy-efficient systems without compromising on the data ratio has become mandatory. Thus, the study collected secondary data and conducted a thematic analysis. Such methods of study have emperors the researchers to collect reliable data and with the discussion create a reliable result. For a better understanding, this study has discussed bout different kinds of routing and helps o create an energy-efficient system with better mobility. The discussion is based on different bandwidths of data along with their use at the same time problem of the system is mentioned at the end. Such a critical discussion allows a reader to prepare their own opinion about a system creation which have an energy-efficient topology and that has improved data packet ratio. © 2023 IEEE.

关键词： Energy efficiency

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Design and Simulation of a Healthcare Unit 3

Design and Simulation of a Healthcare Unit

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3rd IEEE international conference on technology, engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent, TEMSMET 2023

作者： Madhav, G Sethu Kommana, Chakrika Chandana, Baddireddi Sree Khanna, Manju Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350397819

The most important aspect of any country is its healthcare system, but many healthcare providers struggle to provide patients with practical and innovative services. The current emergency clinics are outfitted with cutting-edge technology to save as many lives as possible given the situation. Automation contributes to improved patient health outcomes by assisting technological breakthroughs. Automation can also notify medical staff of known drug interactions and contraindications by querying a database. In this study, we used IoT technologies and Cisco Packet Tracer software to construct a smart hospital system. The system incorporates IoT devices, guarded medical wards, automated electrical appliances, and fire alarm systems. The Cisco Packet Tracer's characteristics can be used to simulate a smart hospital. Results from the simulation demonstrate that smart objects may successfully connect to the hospital server, raising the possibility of application in the real world. © 2023 IEEE.

关键词： Automation

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Electromagnetic Wind-induced Vibration Energy Harvester with a Resonant Cavity 3

Electromagnetic Wind-induced Vibration Energy Harvester with...

引用

2023 3rd international conference on electrical engineering and computer technology, iceect 2023

作者： Xiong, Lei Gao, Shiqiao Jin, Lei Sun, Yaoqiang State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China School of Intelligent Manufacturing Nanyang Institute of Technology Henan Nanyang473004 China

Wind energy, as the most widely distributed form of renewable energy, holds great significance in addressing the energy supply issue for micro-power electronic equipment. Therefore, this paper proposes an electromagnetic wind-induced vibration energy harvester with a resonant cavity (EWVEH). When the wind blows through the resonant cavity, the pressure inside the cavity increases, causing a change in the pressure distribution. The pressure on the lower surface of the elastic beam exceeds the pressure on the upper surface, leading to a pressure difference. When the pressure difference exceeds the damping force of the elastic beam, it will cause the beam to move, and then the vibration energy will be converted into electrical energy through electromagnetic conversion. The installation angle of the elastic beam and the size and position of the resonant cavity outlet will affect the fluid distribution in the resonant cavity and the vibration characteristics of the elastic beam. This, in turn, will change the output characteristics of the EWVEH. The simulation analysis and experimental research demonstrate that a smaller installation angle for the cantilever and a smaller outlet for the resonant cavity is advantageous for the EWVEH to obtain higher output power. Furthermore, the position of the air outlet also impacts the efficiency of the EWVEH. At a wind velocity of 14 m/s, the load voltage and power of the EWVEH are 39 mV and 101.4 μW, respectively. © Published under licence by IOP Publishing Ltd.

关键词： Cavity resonators

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Feedforward control algorithm of vehicle motor simulator based on LCL coupling network 3

Feedforward control algorithm of vehicle motor simulator bas...

引用

3rd international conference on electrical engineering and Mechatronics technology, ICEEMT 2023

作者： Zhao, Hongyuan Li, Qi Qin, Yingkang Wang, Dafang Harbin Institute of Technology at Weihai School of Automotive Engineering Shandong Weihai China

ISBN: (纸本)9798350303698

The motor simulator is very important in the test of motor controller. It can simulate the operation of the motor under different loads and working conditions, and verify the performance of the motor simulator more accurately. LCL coupling network has better suppression effect of high frequency harmonics, but it has the disadvantage that the current control algorithm with complex structure is difficult to design. Simple control algorithms such as ordinary PI control based on SISO method cannot meet the accuracy requirements. Based on the mathematical model of the motor simulator of LCL coupling network, the state space expression is established, and the current tracking control algorithm based on model feedforward is studied in this paper. © 2023 IEEE.

关键词： Feedforward control

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Design and Implementation of Renewable Energy Applications Based Bi-Directional Buck-Boost Converter 3

Design and Implementation of Renewable Energy Applications B...

引用

3rd international conference on Innovative Practices in technology and Management, ICIPTM 2023

作者： Ramana, K. Venkata Arulkumar, S. Marathe, Asmita Beshir, Kedir Jaiganesh, V. Tamilselvi, K. Sudhakar, M. Vnr Vignana Jyothi Institute of Engineering & Technology Department of Computer Scinece and Engineering Hyderabad India Wachemo University Centre for Energy Studies Department of Electrical and Computer Engineering Ethiopia Savitribai Phule Pune University Department of Technology Pune India Wachemo University Department of Electrical and Computer Engineering 667 Ethiopia Bharath Institute of Higher Education and Research Department of Mechanical Engineering Tamil Nadu Chennai India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Sri Sai Ram Engineering College Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798350336238

Our main focus was on creating a Two directional power converter for a standalone photo-voltaic energy-generating technology as well as technology energy control when a lead-acid energy storage device is used to control the energy supply. We utilized a light bulb as the load to evaluate the effectiveness of the directional power converter developed as part of our project as well as the functionality of energy control technologies. The suggested technology was composed of an energy control technology, a lead-acid battery, a bulb, a two-directional buck-boost converter, an utmost power point tracking controller, and these components. An energy control technique was developed to grow the rate at which the Photo-voltaic power producing technology consumed energy. The circuits are intended to charge the battery between upper and lower voltage limits, as well as to continuously check the battery's state of charge and add or release current as necessary. The bidirectional buck-boost converter's ability to function as a charge controller on its own, along with the use of particular BUCK and BOOST converter properties to optimize the home application, is the primary distinction between the method used in the proposed technology and other techniques used in the past. The battery is charged and discharged using a bidirectional dc-dc converter. Measurement data are employed to support the viability of a photovoltaic air conditioning technology. © 2023 IEEE.

关键词： Buck-Boost converter

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Automating Real-Time Data Analysis with Machine Learning Algorithms 3

Automating Real-Time Data Analysis with Machine Learning Alg...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Bhoite, Sonali P. Singh, Satendra Naval, Preeti Panduranga Rao, M.V. Bhushan, Bharat Indira, G. Vishwakarma Institute of Information Technology Department of Information Technology Pune India Vivekananda Global University Department of Mechanical Engineering Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Chennai127 India

ISBN: (纸本)9798350319125

Device getting-to-know algorithms enable the automation of actual-time information analysis, permitting agencies to behave on well-timed insights and optimize selection-making. By leveraging predictive models, companies can increase customized services, optimize operations, and obtain a competitive area. This paper discusses how device learning algorithms can automate real-time facts evaluation and the ways such algorithms can be used to uncover developments, locate anomalies, and enhance models. Moreover, the paper explores how applying device mastering algorithms can boost accuracy and efficiency in data evaluation, in addition to providing businesses with new opportunities for innovation. © 2023 IEEE.

关键词： Information analysis

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Transfer Learning Innovations in Network Security and Threat Intelligence 3

Transfer Learning Innovations in Network Security and Threat...

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3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Mishra, Aishwarya Kumar, Sandeep Pipalia, Dhaval Vaish, Rohit Ies College of Technology Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Ies University Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Electrical Engineering Rk University India Ies College of Technology Department of Electronics & Communication Engineering Madhya Pradesh Bhopal462044 India

ISBN: (纸本)9798350343274

In Transfer Learning Innovations in Network Security and Threat Intelligence,' we introduce a holistic approach that harnesses transfer learning to fortify network security and elevate threat intelligence. This methodology revolves around three core algorithms, each addressing a specific facet of cybersecurity enhancement. Initially, a deep neural network undergoes pre-training on a diverse source domain dataset rich in cybersecurity information. This process aims to capture generalized features and knowledge pertaining to a broad spectrum of cyber threats and vulnerabilities. The outline these techniques, such as Maximum Mean Discrepancy (MMD) and adversarial training, both conceptually and mathematically. These three algorithms amalgamate to create a robust transfer learning framework, purpose-built for network security and threat intelligence. This comprehensive approach empowers security practitioners to dynamically adapt and reinforce their defense mechanisms. © 2023 IEEE.

关键词： Network security

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