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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68642 条记录，以下是4631-4640 订阅

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Deep Reinforcement Learning Based HVAC Optimization Control Algorithm Application

Deep Reinforcement Learning Based HVAC Optimization Control ...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Zeng, Linzhe Cen, Jian Liu, Xi Wu, Yinbo Tan, Xiaowei School of Automation Guangzhou Intelligent Building Equipment Information Integration and Control Key Laboratory Guangdong Polytechnic Normal University Guangzhou China Co. Ltd Guangdong Sinro Air-conditioning Technology Co. Ltd Guangzhou China

ISBN: (纸本)9798350309614

To address the shortcomings of Heating, Ventilation, and Air Conditioning systems (HVAC) with low energy efficiency, this paper introduces the application and effectiveness of deep reinforcement learning in HVAC systems. Deep reinforcement learning mainly includes model-based algorithms and model-free algorithms. Model-based algorithms require a large amount of system and environment knowledge, which is usually difficult to obtain, while model-free algorithms do not need this knowledge to model the environment, so model-free deep reinforcement learning is of high research value. The applications of model-free deep reinforcement learning algorithms in the HVAC domain are reviewed and divided into three categories: value function-based methods, policy gradient-based methods, and actor-critic-based methods, and the three categories are also described in detail. Finally, the shortcomings of current deep reinforcement learning in HVAC control systems are summarized, and the future application directions are prospected. © 2023 IEEE.

关键词： actor-critic Deep reinforcement learning HVAC control system policy gradient value function

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Enhancing Blind Source Separation in the Cocktail Party Problem Using Independent Component Analysis 2

Enhancing Blind Source Separation in the Cocktail Party Prob...

引用

2nd international conference on automation, Computing and Renewable Systems, ICACRS 2023

作者： Singh, Kulvinder Piyush Singh, Manakpreet Department of Computer Science and Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9798350340235

Independent Component Analysis makes services as diverse as possible by reducing the second-order system and any higher-order dependence on the data provided. It is based on the assumptions of statistically independent substrates from many unknown sources. The ICA is based on the black box method which means it does not need to know internal features. Therefore, in this paper, the basic principles of how to Divide the Blind Source (Mode of Unchecked Reading) will be used to solve a real-world problem such as the problem where a cocktail party is going on. In addition, a pointer-based approach is illustrated to explain the ICA's previous processing steps in terms of the audio issues caused while recording in a part of Cocktail party and the non-mix processes in the ICA. In addition, a variety of advanced methods of evaluating independent sources in the ICA model will be compared. © 2023 IEEE.

关键词： BSS-Blind Source Separation Cocktail Party Algorithm ICA-Independent Component Analysis Signal Separation Unsupervised Learning

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Research on PCB Thermal Layout Optimization Strategy Based on Improved Particle Swarm Optimization Algorithm 2

Research on PCB Thermal Layout Optimization Strategy Based o...

引用

2nd international conference on Energy, Power, and Electrical technology, ICEPET 2023

作者： Zhang, Chunxia Li, Xiaoxin Wei, Dong College of Electronic Information and Automation Tianjin University of Science and Technology Tianjin China

ISBN: (纸本)9781510668270

With the rapid development of integrated circuits, the number of electronic components on PCBs has multiplied. The increase in the number of components has led to more factors affecting the stability of PCB, with temperature being one of them. Excessive temperature can lead to functional failure or burnout of electronic components. A hybrid algorithm based on particle swarm optimization and simulated annealing algorithm is proposed to optimize the thermal layout of PCB electronic components. The article analyzes the principle and algorithm improvement process of thermal layout optimization, provides specific optimization cases, and verifies the feasibility of this method through MATLAB simulation experiments. © 2023 SPIE. All rights reserved.

关键词： Polychlorinated biphenyls

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AI Value Alignment Problem: The Clear and Present Danger 6

AI Value Alignment Problem: The Clear and Present Danger

引用

6th international conference on Information Systems and computer Networks, ISCON 2023

作者： Chaturvedi, Sukrati Patvardhan, C. Lakshmi, C. Vasantha Dayalbagh Educational Institute Dept of Physics and Computer Science Agra India Dayalbagh Educational Institute Dept of Electrical Engineering Agra India

ISBN: (纸本)9798350346961

Artificial intelligence (AI) refers to the development of machines that are able to think and act like humans. Current advances in AI are targeting the advancements of systems that perform at super human level in particular tasks or domains. The critical challenge in developing AI is ensuring that the technology is safe and can be trusted. Because AI systems are capable of making decisions and taking actions without human intervention, it is crucial to ensure that they do not make mistakes or act in ways that are harmful to people or the environment. In this paper, we aim to present a clear conceptual understanding of the AI value alignment problem, the need to solve this problem, the major issues involved, approaches to tackle them and the way forward.. © 2023 IEEE.

关键词： Ethical technology

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Jammer Assisted Covert Communication with Cognitive Radio 9

Jammer Assisted Covert Communication with Cognitive Radio

引用

9th international conference on computer and Communications, ICCC 2023

作者： Li, Hongwei Hu, Jinsong Chen, Youjia Wang, Jun Shu, Feng Fuzhou University College of Physics and Information Engineering Fuzhou China Fuzhou University College of Electrical Engineering and Automation Fuzhou China Hainan University School of Information and Communication Engineering Haikou China

ISBN: (纸本)9798350317251

This work proposes a covert communication scheme in a cognitive radio network where a secondary transmitter (ST) transmits confidential information to a secondary receiver under the protection of a jammer. Specifically, we first analyzed the communication performance of the system under both correct and incorrect decisions of ST. We then derive the average minimum detection error probability under the two decisions of ST and obtain the global average minimum detection error probability as the covertness constraint. To maximize the average effective covert rate, we jointly optimize the transmission power of ST and the maximum transmission power of the jammer while satisfying constraints. Our examination shows that the proposed scheme can effectively improve the covert performance and the average effective covert rate of the system compared to the no-jammer scheme. © 2023 IEEE.

关键词： Cognitive radio

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Systematic Review of IT Risk Management Using a Scientometric Approach 6

Systematic Review of IT Risk Management Using a Scientometri...

引用

6th international conference on Information and Communications technology, ICOIACT 2023

作者： Cucus, Ahmad Sari, Wenny Permata Aminuddin, Afrig Saputra, Dhanar Intan Surya Hammood, Waleed A. Aziza, Rifda Faticha Alfa Universitas Bandar Lampung Faculty of Computer Science Lampung Indonesia Universitas Bandar Lampung Faculty of Economic and Bussiness Lampung Indonesia Universitas Amikom Yogyakarta Faculty of Computer Science Sleman Indonesia Universitas Amikom Purwokerto Faculty of Computer Science Purwokerto Indonesia University of Anbar Faculty of Computer Science Ramadi Iraq

ISBN: (纸本)9798350315639

Risk management is an activity that will be carried out by various organizations and agencies so that the organization's sustainability will continue. Various parts of the organization can face risks and threats. The part of the organization that has the most significant threat is the information technology division. The era of disruption and the development of the digital world is increasingly having a significant effect on the risks and threats faced, which encourages academics, practitioners, and researchers to try new things related to risk management. In this paper, the researcher tries to examine the topics carried out in the area of risk management. To make it easier to find study material, the author uses scientometric techniques with tools such as publish or perish and Vos viewer. The researchers utilized the Scientometric methodology to perform their study, which yielded findings regarding implementing risk management in organizations. Notably, the study identified trends related to various methodologies, including ISO 31000, COSO ERM, NIST SP 800-30, and numerous others. Based on the data acquired, it is anticipated that the outcomes of this study will provide businesses with a reliable framework for implementing risk management inside their organizations. © 2023 IEEE.

关键词： Risk management

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Smart System for Dengue Fever Diagnosis: A Machine Learning Approach 3

Smart System for Dengue Fever Diagnosis: A Machine Learning ...

引用

3rd international conference on Emerging Smart Technologies and Applications, eSmarTA 2023

作者： Al-Hagree, Salah Alalayah, Khaled M. Al-Majmar, Nashwan Ahmed Mohsen, Ayedh Abdulaziz Aqlan, Amal Alhel-Iani, Mostafa Mohammed, Merown Albazel, Mohammad Al-Qasem, Fahd Mohammed Aljafari, Motea Musleh, Abdulbaset Alnedam, Ibrahim Computer Science Department Faculty of Sciences Ibb University Yemen Computer Science Aljazeera University Yemen Computer Science Ibb University Yemen Computer Science Najran University Saudi Arabia Department of Computer Sciences King Khalid University Community College Mohayel Aseer Saudi Arabia Information Technology Department University of Science and Technology Yemen

ISBN: (纸本)9798350305333

Dengue fever is a serious illness that can lead to death in areas where epidemics spread and in third world countries. Early diagnosis is crucial in preventing the severity of the disease and avoiding fatalities. To address this issue, a smart Android application has been developed that uses machine learning algorithms such as the decision tree to diagnose dengue patients. The decision tree algorithm was found to be the most accurate, with an accuracy rate of 93.7%, while other algorithms like close neighborhood had an accuracy rate of 74.29%, naïve bays had an accuracy rate of 93.07%, and SVM had an accuracy rate of 68.32%. The system's response is based on specific data that is entered and processed through the decision tree algorithm. Overall, the development of this smart system can greatly improve early diagnosis of dengue fever and potentially save lives. © 2023 IEEE.

关键词： Decision trees

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A Comprehensive Analysis on Co-Saliency Detection on Learning Approaches 3

A Comprehensive Analysis on Co-Saliency Detection on Learnin...

引用

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

作者： Agrawal, Anrag Vijay Kumari, Tadi Satya Soniya, M. Meenakshi, S. Jegadeesan, R. Ahmad, S. Rehan Ict Academy Indian Institute of Technology Department of Electronics and Communication Engineering Uttarakhand India Aditya College of Engineering Department of Computer Science and Engineering Andhra Pradesh India Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Department of Information Technology Tamil Nadu Chennai600062 India Tamil Nadu India Jyothishmathi Institute of Technology & Science Department of Computer Science and Engineering Telangana India Hiralal Mazumdar Memorial College for Women Department of Zoology Kolkata India

ISBN: (纸本)9798350336238

Co-saliency recognition is a fast-growing field in computer vision. Co-saliency detection, a unique field of optical sensitivity, relates to the identification of shared and salient backgrounds from two or even more pertinent images, and it is broadly applicable to a variety of computer vision tasks. Various co-saliency detection techniques are composed of three modules: extracting image characteristics, examining informative signals or elements, and creating effective computer foundations to construct co-saliency. Even though several strategies have been created, there hasn't yet been a thorough analysis and assessment of co-saliency prediction methods in the literature. This work intends to provide a thorough analysis of the foundations, difficulties, and implications of co-saliency detecting. An overview is offered based on the connected computer vision works, investigates the detection history, outline and classify the important algorithms and address certain unresolved difficulties, explain the possible co-saliency identification applications as point out certain unsolved obstacles and interesting future appears to work. © 2023 IEEE.

关键词： computer vision

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An Ultra-sensitive and Integrated Optical Fiber Salinity Sensor Based on Vernier Effect 28

An Ultra-sensitive and Integrated Optical Fiber Salinity Sen...

引用

28th international conference on Optical Fiber Sensors, OFS 2023

作者： Li, Like Zhang, Ya-Nan Han, Bo Li, Xuegang Zhao, Jian Lv, Riqing Zhao, Yong College of Information Science and Engineering Northeastern University Liaoning Shenyang110819 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110819 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Northeastern University at Qinhuangdao Hebei Qinhuangdao066004 China

In this work, an ultra-sensitive salinity sensor based on vernier effect with salinity sensitivity of - 18.75 nm/% is designed and fabricated. The vernier effect consists of two parallel MZIs in the same sensing area.... 详细信息

ISBN: (纸本)9781957171302

关键词： Optical fibers

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Comparing Fault Location Methods in Transmission Lines

Comparing Fault Location Methods in Transmission Lines

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2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Gera, Preeti Waqar, Musheer Manivasagam Noida Institute of Engineering and Technology Department of Computer Science Engineering Uttar Pradesh Greater Noida India Tula's Institute Department of Computer Science and Engineering Dehradun India Department of Computer Bangalore India

ISBN: (纸本)9798350357769

A actually massive settings is created when horizontal frequency division packet switching, a common technique for high-rate wireless data transport, is integrated with transceivers at the transmitting and receiving ends to increase spectral efficiency and/or to boost system power on time-variant and intensity touchpoints. The multiple access future research directions in design process are investigated in this article, which would include measured data and simulation, input signal spectrum sensing methods employing intuitive arrays, space-time methods, error - correcting computer programming methods, protocol and datagram style, or signal computation for frequency and time standardization, spectrum sensing, and channel locating in frameworks. The article also takes into account an open-source hardware solution. © 2023 IEEE.

关键词： Access points Design process Error-correcting computer programming methods Input signal spectrum sensing Multiple access Simulation Space-time methods Spectral efficiency Symbol demodulation Wireless communication Wireless networks

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