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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15474 条记录，以下是301-310 订阅

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A Load Forecasting Model Based on Sequence-to-Image Preprocessing Framework

A Load Forecasting Model Based on Sequence-to-Image Preproce...

引用

2024 international automatic control conference, CACS 2024

作者： Yao, Leehter Wu, Bo-Yi Ku, Cheng-Yu Teo, J.C. National Taipei University of Technology Department of Electrical Engineering Taipei Taiwan National Taipei University of Technology Institute of Automation Technology Taipei Taiwan National Taipei University of Technology Taipei Taiwan UCSI University Electrical and Electronic Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350354904

The smart grid is currently composed of many distributed energy resources. To manage these sources, Short-Term Load Forecasting (STLF) is regarded as a crucial role in the power dispatching and energy management domain. To improve the performance and accuracy of the STLF, this paper proposes a Sequence-to-Image preprocessing approach and Rolling Forecasting framework (S2I-RF) to help the model better catch the multi-level seasonality of the load series and overcome the cumulative error associated with the multi-step forecasting. To better extract the spatial pattern and the temporal relationship of the load images, a structure of the hybrid neural network model CNN-ConvBiLSTM-ECANet (CCBE-Net) is proposed. The technique can significantly improve the performance of the STLF in real-time or day-ahead forecasting. © 2024 IEEE.

关键词： Electric load forecasting

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Dominance of Neural Networks in Additive Manufacturing Surface Roughness control 4

Dominance of Neural Networks in Additive Manufacturing Surfa...

引用

4th IEEE international Maghreb Meeting of the conference on sciences and Techniques of automatic control and Computer engineering, MI-STA 2024

作者： Abdulshahed, A.M. Wafa, Fatma Misurata University Department of Electrical and Electronic Engineering Misurata Libya Misurata University Department of Material Science Misurata Libya

ISBN: (纸本)9798350372632

This article examines the prediction of surface roughness control in additive manufacturing by comparing Linear Regression and Neural Network models. Through K-means clustering, we identify four clusters in the data, each associated with specific 3D printing parameters. Within each cluster, we analyze the factors influencing surface roughness and power efficiency. The primary objective is to forecast a target variable, considering metrics such as R-squared, Mean Squared Error, and correlation coefficient. Our research demonstrates that both Linear Regression and Neural Network models exhibit strong predictive capabilities, with the Neural Network outperforming the Linear Regression model. The Neural Network demonstrates superior performance metrics, reduced Mean Squared Error, and greater resilience to outliers. These results underscore the effectiveness of Neural Networks in achieving precision and identifying nonlinear patterns in surface roughness prediction. Thus, emphasizing the significance of employing advanced machine learning techniques, such as Neural Networks, in similar domains. © 2024 IEEE.

关键词： Surface roughness

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Improved Pulse Voltage Injection Method for Initial Position Estimation in Surface-Mounted Permanent Magnet Synchronous Motor

Improved Pulse Voltage Injection Method for Initial Position...

引用

2024 international automatic control conference, CACS 2024

作者： Chang, Huai-Ting Tai, Chia-Hung Shyu, Kuo-Kai Lee, Po-Lei Huang, Szu-Chi National Central University Department of Electrical Engineering Taoyuan Taiwan

ISBN: (纸本)9798350354904

When the Permanent Magnet Synchronous Motor (PMSM) is at a standstill, an improved pulse voltage injection technique is employed. This method involves sequentially injecting short-duration, high-frequency pulse voltages with sufficient amplitude into different phases of the stator windings. This process induces significant magnetization, leading to magnetic saturation effects. The varying degrees of magnetic saturation cause different current responses, which can then be used to infer the relative position between the rotor and stator, thereby estimating the initial rotor position. © 2024 IEEE.

关键词： Stators

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Investigating the Applications of Sentimental Analysis Algorithms for Highly-Automated Delivery Applications 5th

Investigating the Applications of Sentimental Analysis Algor...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Bhuvana, J. Ali, Arif Pawaskar, Praveen Giridhar Savita Karnataka Bangalore India Department of Computer Science & Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

Sentimental evaluation algorithms enable computer systems to stumble on, classify, and degree textual content sentiment. This era can be leveraged to evaluate consumer evaluations and provide remarks to corporations to be able to improve provider shipping. This observe pursuits to analyze the capability packages of those algorithms in pretty automatic shipping packages, inclusive of self sufficient drones and robots. Reading consumer sentiments using those algorithms can assist to stumble on client satisfaction or dissatisfaction in a timely fashion. This evaluation may be used to inform decision-making and to enhance carrier revel in for customers. The take a look at will hire a mixture of strategies, consisting of interviews, surveys, and quantitative analyses, to evaluate the effectiveness of this era in incredibly automatic shipping programs. The outcomes of this study will offer precious perception into the potential applications of sentimental evaluation algorithms for reinforcing customer support in computerized shipping systems.. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Decision making

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CyberEdPlay-An IQ Calculator for Predicting Mental Health 3

CyberEdPlay-An IQ Calculator for Predicting Mental Health

引用

3rd Odisha international conference on electrical Power engineering, Communication and computing Technology, ODICON 2024

作者： Kumaran, U. Gurupriya, M. Adhitya Vardhan, A. Sree, Chittem.Bhavya Geethika, Ganugapati Sai Amrita School of Computing Dept.of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350354379

The human brain plays a vital role as a command center for the human nervous system. It takes control of our every action and thought and arranges everything as a central unit by taking sensory input and giving muscle output. Although with its natural ability, some kids need some extra help with their brains. The two main features, memory tests, and IQ tests are incorporated into the application to help the kids to train their brains efficiently, this application not only can be used by kids but can also be used by people of any age to train their brains. additionally, we have included a feature to calculate the age of mental health based on IQ and to increase cognitive thinking. The safety features are been added in the login section where the user has to log in using a secured email and create a strong password, thus the user also needs to verify the email id for authentication purposes. © 2024 IEEE.

关键词： Authentication

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Design of intelligent voice flower Waterer system based on WeChat applet control

Design of intelligent voice flower Waterer system based on W...

引用

2024 international conference on Electronics, electrical and Information engineering, ICEEIE 2024

作者： Hu, Zhuohuan Wang, Nan Huang, Peibin Li, Zefeng Li, Tingting Guangdong University of Science and Technology Dongguan8802-7142 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

This paper introduces an intelligent flower pot system, which aims to solve the problem of flower death caused by busy or little understanding of flower habits. The system is based on the Internet of Things and WeChat applets, and uses sensors such as temperature and humidity, light and soil moisture to obtain information about the growth environment of flowers, and realizes automatic watering and light control. The system is based on the Internet of Things and WeChat applets, and uses sensors such as temperature and humidity, light and soil moisture to obtain information about the growth environment of flowers, and realizes automatic watering and light control. uses the Alibaba Cloud IOT platform to transmit sensor data to the WeChat Mini Program, through which users can monitor and control the flower pot system in real time and understand the status of flowers. At the same time, the system uses the Alibaba Cloud IOT platform to transmit sensor data to the WeChat Mini Program, through which users can monitor and control the flower pot system in real time and understand the status of flowers. This kind of intelligent flower pot system realizes the interactive communication between flower growers and flower pots, which is of This kind of intelligent flower pot system realizes the interactive communication between flower growers and flower pots, which is of practical significance for enhancing the planting skills and experience of flower raisers. © 2024 SPIE.

关键词： Soil moisture

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Analysis of Factors influencing Early Detection of Breast Cancer 3

Analysis of Factors influencing Early Detection of Breast Ca...

引用

3rd international conference on Emerging Trends in electrical, control, and Telecommunication engineering, ETECTE 2024

作者： Malik, Hassal Sonia Sial, Umaira Ahmad Bukhari, Faisal Department of Data Science Faculty of Computing and Information Technology University of the Punjab Lahore Pakistan

ISBN: (纸本)9798331504861

Carcinoma, particularly breast cancer, poses a formidable challenge, especially in Pakistan where it stands as the most prevalent cancer among women. This research investigates the complex landscape of breast cancer in Pakistan, utilizing a dataset from local hospitals. Through comprehensive statistical analyses and advanced machine learning techniques, including XGBoost and RandomForest, the study uncovers significant associations between socio-economic and psychological factors and the timing of breast cancer diagnosis among Pakistani women. Factors such as embarrassment, fear of treatment, and lack of awareness emerge as crucial determinants. The findings provide valuable insights for tailored interventions and contribute to the global fight against breast cancer. ©2024 IEEE.

关键词： Lung cancer

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A Multi-party Asymmetric Self-play Algorithm and Its Application in Multi-USV Adversarial Game Simulations 24

A Multi-party Asymmetric Self-play Algorithm and Its Applica...

引用

2024 international conference on Machine Learning, Pattern Recognition and Automation engineering, MLPRAE 2024

作者： Rao, Jinjun Wang, Cong Liu, Mei Lei, Jingtao Giernacki, Wojciech Department of Precision Mechanical Engineering School of Mechatronic Engineering and Automation Shanghai University China Institute of Robotics and Machine Intelligence Faculty of Automatic Control Robotics and Electrical Engineering Poznan University of Technology Poland

ISBN: (纸本)9798400709876

Aiming at the problem that the combination of self-play (SP) and deep reinforcement learning (DRL) only involves two-party games and the policy learning of each party is limited, a multi-party asymmetric self-play algorithm (MASP) is proposed. Firstly, by improving the ELO scoring system, the ELO scoring takes into account each party of the unmanned surface vehicle (USV) clusters, and the imbalance of the number of USV clusters, so that the frequency of exchanging strategies of all USV clusters in the confrontation process is equal. Secondly, it ensures that USV clusters have a balanced combat ability, and at the same time ensures that the combat ability of all parties is strong and weak and the gap is not too wide. In addition, the parameters are dynamically set to reduce the update frequency of the policy of the stronger party. The experimental results show that the MASP can make the USV clusters learn more effective policies, have a shorter game time, and obtain higher rewards and ELO scores in the simple 2v2 adversarial game scenario and the three-party game scenario of a warship escort mission. © 2024 ACM.

关键词： Deep reinforcement learning

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Performance Analysis of a Sensorless DC Motor Using Neuro Fuzzy Logic control

Performance Analysis of a Sensorless DC Motor Using Neuro Fu...

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2023 IEEE international conference on Intelligent and Innovative Technologies in computing, electrical and Electronics, ICIITCEE 2023

作者： Rajan, G.T Sundar Sivachidambaranathan, V. Glady, J. Barnabas Paul Babu, Ramesh Subramanian, Ganesan Jebaseelan, S. D Sundarsingh Antony, A Santhi Mary Sathyabama Institute of Science and Technology Chennai India E.G.S. Pillay Engineering College Nagapattinam India Loyola - ICAM College of Engineering and Technology Chennai India

This paper deals with the speed control of by using a NEURO FUZZY LOGIC controller without any loss of power;in fact energy is conserved during the regenerative period. The random and optimal results are obtained. Thi... 详细信息

ISBN: (纸本)9781665462631

关键词： Brushless DC motors

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Load Frequency control using PID Algorithm in Multiarea of Power System for Uncertain Load Conditions 3

Load Frequency Control using PID Algorithm in Multiarea of P...

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3rd international conference on Advances in electrical, computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Khan, Hera Maurya, Arun Kalra, Sarika Ahuja, Hemant Ajay Kumar Garg Engineering College Electrical and Electronics Ghaziabad India

ISBN: (纸本)9781665494007

AGC stands for automatic Generation control Performance a very important role to ensure the capability, credibility, and reliability of interconnected power systems for active power transitions. In order to achieve the stability in between the demand & supply, automatic action is required to stabilize the frequency deviations caused during load fluctuations in the respective power system area. In this paper, a two-area electrical power system is formulated as well as modeled in MATLAB/Simulink environment. The deviating performance of the interconnected power systems has been observed during different load conditions. The different control algorithms such as Integrator(I), Proportional Integral (PI), & Proportional Integral Differential (PID) are applied to mitigate perturbations in AGC's parameters like frequency, mechanical power output, and power of tie-line respectively. The hit and trial strategy has opted to tune up controller gains. The performance has been validated through simulated results. At the later stage, the PID controller has outperformed as compared to its counterparts based on settling time and magnitude of error during sudden load demand variations in a power system area. © 2023 IEEE.

关键词： Electric power system interconnection

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