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检索条件"任意字段=13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023"

共 285 条记录，以下是31-40 订阅

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On the Universality of Active Noise control Concepts in control engineering: A Perspective in control engineering Education

On the Universality of Active Noise Control Concepts in Cont...

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： Raja Kamil Department of Electrical and Electronic Engineering Universiti Putra Malaysia Serdang Selangor Malaysia

Active Noise control (ANC) systems involve the application of many control engineering concepts which makes them suitable for control engineering education at both undergraduate and postgraduate levels. the physics involved revolving around destructive noise interference through superposition is easily understood. the complexity of the system can be gradually increased from ideal to realistic cases to meet the required educational levels while introducing important control concepts like feedback and feedforward architecture, nonminimum phase, linearity and nonlinearity, time delay and multivariable systems. the ANC control methods are rich incorporating linear and nonlinear fixed nonadaptive and adaptive control, robust and optimal control, neural network, and fuzzy logic. the systems also enable introduction to deep learning, digital signal processing, and differences between analog and digital electronic systems. In this paper, the main control concepts, ideas, and methods applied in ANC in presented as a series of ‘concept’ to be addressed in control engineering education. Furthermore, this work aims towards translational research where the ideas and approach applicable to ANC may also be beneficial and adopted in other control applications.

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Fusing Frontal Face Recognition Using Multi View Cameras

Fusing Frontal Face Recognition Using Multi View Cameras

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： M.A Rashidan S. N. Sidek M. M. Al-Samman Department of Mechatronics Kulliyyah of Engineering International Islamic University Malaysia Kuala Lumpur Malaysia

the recognition of faces in videos has recently gained considerable attention, but the recognition process executed on a single camera has limitations, especially when dealing with uncooperative subjects, changes in body posture, or self-occlusion. these challenges are particularly relevant in the context of studying facial analysis in children with Autism Spectrum Disorder (ASD). therefore, the use of multiple cameras in a face recognition system is proposed to overcome these limitations. Facial image realignment was employed in the automatic face recognition process. To achieve this, the Kanade-Lucas-Tomasi (KLT) algorithm was used to track facial features, and the RANSAC algorithm was utilized to estimate the homography transformation for realigning the multi-view input images. To assess and compare the similarity of the fused image, the normalized cross-correlation (NCC) was employed. the resulting fused image was obtained based on the extracted pose of the face. the results demonstrate the efficacy of the method, achieving an accuracy of 94.5% for typically developed children and 87.3% for ASD children.

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CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style control and Contrastive Learning with Negative Samples Augmentation 21

CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Sty...

引用

21st ieee international Symposium on Parallel and Distributed Processing with Applications, 13th ieee international conference on Big Data and Cloud computing, 16th ieee international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Deng, Yimin Zhang, Xulong Wang, Jianzong Cheng, Ning Xiao, Jing Co. Ltd. China University of Science and Technology of China China

ISBN: (纸本)9798350329223

Better disentanglement of speech representation is essential to improve the quality of voice conversion. Recently contrastive learning is applied to voice conversion successfully based on speaker labels. However, the performance of model will reduce in conversion between similar speakers. Hence, we propose an augmented negative sample selection to address the issue. Specifically, we create hard negative samples based on the proposed speaker fusion module to improve learning ability of speaker encoder. Furthermore, considering the fine-grain modeling of speaker style, we employ a reference encoder to extract fine-grained style and conduct the augmented contrastive learning on global style. the experimental results show that the proposed method outperforms previous work in voice conversion tasks. © 2023 ieee.

关键词： Speech synthesis

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Modeling and control of Unmaned Aerial Vehicles

Modeling and Control of Unmaned Aerial Vehicles

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： Tan Kai Sheng Mohd Fua’Ad Rahmat Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Recent years have seen significant expansion within Unmanned Aerial Vehicles (UAVs) with increasing demand from sectors including reconnaissance, surveillance, and delivery. this paper focus on the modelling and control aspects specific to quadcopters, a popular type of UAV with an ambition to increase their stability quotient whilst accounting for factors like thrust, torque and aerodynamics guided by mathematical equations and physics laws governing their dynamics with use of MATLAB Simulink. For effective stabilization purposes design objective is generating proportional-integral-derivative (PID) controllers while testing simulations to gauge the controller’s performance; the results highlight a reduction in oscillations and an increased stability with more favourable regulation of motion relatively than earlier. A physical quadcopter test then follows to cross-validate simulation findings for any subsequent required optimizations of existing PID controls. the project aims at contributing extensively towards enhancing UAV control through developing reliable and efficient PID controllers with specific focus towards quadcopters that can find application potential over other types of UAVs within this industry.

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A Decentralized Vehicle-to-Vehicle Energy Trading system Based on Efficient Sharding Services 21

A Decentralized Vehicle-to-Vehicle Energy Trading System Bas...

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作者： Meng, Kun Sun, Lijun Chen, Xiao Wu, Haiqin Li, Shuaiyong Qingdao University of Science and Technology College of Information Science and Technology Shandong China University of Leicester School of Computing and Mathematical Sciences Leicester United Kingdom Software Engineering Institute Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing China

ISBN: (纸本)9798350329223

Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. this balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment. © 2023 ieee.

关键词： Blockchain

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A Gradient-guided Fuzzing Approach to Recover More Complete control Flow Graph of Binary 21

A Gradient-guided Fuzzing Approach to Recover More Complete ...

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作者： Wang, Qianjin Li, Xiangdong He, Yuchen Yue, Chong Dept. ZhongYuan University of Technology Henan Key Laboratory on Public Opinion Intelligent Analysis Zhengzhou China

ISBN: (纸本)9798350329223

Recovering control flow graphs of binary is a code analysis task for generating program control structures, the results of which can be applied in malicious code analysis, vulnerability mining, and other cyberspace security fields. However, existing binary control flow graph recovery methods suffer from being incomplete and inefficient, while special code structures such as indirect jumps affect the application of recovery techniques. the fuzzing-based approach utilizes inputs of mutation to obtain test cases that can be executed up to an indirect jump. However, this method ignores the branch behavior of inputs in relation to coverage, generating inputs without considering the validity of those inputs, and failing to efficiently guide indirect jumps. To recover a more complete control flow graph, we propose a gradient-guided fuzzing to solve the indirect jump problem. First, the base CFG of the program is recovered using static analysis. Next, we optimize the test case generation utilizing a gradient-guided approach to discover indirect jump relationships by monitoring the execution of these test cases. Finally, indirect jump relations are added to the base CFG to obtain a more complete control flow graph. Experimental results show that our approach outperforms existing methods in solving indirect jumps. © 2023 ieee.

关键词： Static analysis

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Application Research of Vertical Federated Learning Technology in Banking Risk control Model Strategy 21

Application Research of Vertical Federated Learning Technolo...

引用

作者： Luo, Yong Lu, Zhi Yin, Xiaofei Lu, Songfeng Weng, Yiting Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China China Minsheng Banking Corp. Ltd. Beijing China Shenzhen Huazhong University of Science and Technology Research Institute Wuhan China Shu Lun Pan Beijing China

ISBN: (纸本)9798350329223

this study centers on the application of vertical federated learning technology in the context of Internet banking loans, with a particular focus on innovations in data privacy protection, risk control model algorithms, and secure multi-party computation. Currently, banking risk control strategies mainly rely on traditional data processing technologies, which often fall short in protecting user privacy and ensuring data usage efficiency. We adopt vertical federated learning technology, offering an innovative solution for the Internet banking loan scenario. Firstly, regarding data privacy protection, we propose a differential privacy mechanism to safeguard user-sensitive data. Secondly, we innovatively apply risk control model algorithms, facilitating collaborative modeling across multiple Internet loan platforms through federated learning. Furthermore, we introduce secure multi-party computation technology to ensure the secure transmission of data and confidentiality of computation processes during federated learning. through empirical experiments on real Internet loan datasets, we validate the effectiveness and feasibility of our proposed methods. After implementing our risk control model, the credit approval rate increased from 3.44% to 18.2%, with a single-day high reaching 25.53%. the average loan amount increased by 7,700 yuan, and the average interest rate slightly declined by 0.48%, marking a significant improvement and breakthrough compared to traditional risk control models. this study offers innovative solutions for data privacy protection and risk control in the Internet loan scenario, providing safer and more reliable services for financial institutions and users. Moreover, our methods possess high practicality and promotional value. the potential widespread impact on the industry is profound. © 2023 ieee.

关键词： Risk management

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Simultaneous control of Transmission Efficiency and Power in WPT systems Considering Mutual Inductance Variation 13

Simultaneous Control of Transmission Efficiency and Power in...

引用

13th international conference on Power, Energy and Electrical engineering, CPEEE 2023

作者： Abe, Atsuhiro Deng, Mingcong Tokyo University of Agriculture and Technology The Undergraduate School of Engineering Tokyo Japan Tokyo University of Agriculture and Technology The Graduate School of Engineering Tokyo Japan

ISBN: (纸本)9781665490146

In recent years, wireless power transfer (WPT) using magnetic resonant coupling has attracted much attention due to its high convenience. Many methods have been proposed to control WPT systems, such as DC-DC converters, inverters, and the positional relationship between transmitting and receiving coils. However, previous research has assumed that the mutual inductance, which cannot be measured during power transmission, is known. therefore, this study proposes a control system that considers the variation of mutual inductance during power transmission by estimating the mutual inductance. First, the WPT system is modeled. Next, the mutual inductance estimation is explained and the control system is designed. Finally, the effectiveness of the control is demonstrated through simulations in MATLAB. © 2023 ieee.

关键词： Inductance

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A Review of Potential AI-Based Automation for IoT-Enabled Smart Homes 13

A Review of Potential AI-Based Automation for IoT-Enabled Sm...

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13th ieee international conference on system engineering and Technology, ICSET 2023

作者： Leong, Ying Mei Lim, Ean Heng Lim, Lip Khi Quest International University Faculty of Computing and Engineering Ipoh Malaysia Universiti Tunku Abdul Rahman Faculty of Information and Communication Technology Ipoh Malaysia Newcastle University School of Computing Newcastle United Kingdom

ISBN: (纸本)9798350340891

the Internet of things (IoT) has brought significant changes in the way we interact with technology in our homes. Smart homes equipped with IoT devices offer a comfortable and convenient lifestyle. However, managing these devices and their operations can be challenging, especially for individuals with limited technical expertise. the integration of artificial intelligence (AI) in IoT-based smart homes can potentially overcome these challenges by automating device management and enabling proactive responses to users' needs. this paper investigates the potential of AI-based automation for IoT-enabled smart homes. We review the literature on AI-based automation and IoT-based smart homes, highlighting their benefits, challenges, and existing solutions. the research methodology used in this study is through deep learning approach. the results indicates that AI-based automation can improve user experience and enhance the efficiency and effectiveness of IoT-based smart homes. However, some technical and ethical challenges, such as privacy and security concerns, need to be addressed. © 2023 ieee.

关键词： Automation

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Research on Optimization Strategy of Extinguishing Angle control Function in DC Transmission 13

Research on Optimization Strategy of Extinguishing Angle Con...

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13th international conference on Power and Energy systems, ICPES 2023

作者： Liu, Haibin Liu, Weipeng Chang, Yawei Zhang, Ke Dc Transmission Branch Xj Electric Corporation Xuchang China

ISBN: (纸本)9798350345063

At present, in high-voltage DC transmission systems, when the AC system on the inverter side malfunctions, if the DC control system responds improperly, it will lead to inverter commutation failure. Studying from the principle of extinguishing angle control, the advantages and disadvantages of measurement based and calculation based extinguishing angle control methods were compared. A composite control strategy in DC transmission engineering is proposed, and a corresponding control protection model is established in PSCAD/EMTDC, and the feasibility of the optimization strategy is verified. this strategy can effectively avoid the continuous commutation failure of the converter station caused by ground faults in the system, and improve the stable operation efficiency of the DC system. © 2023 ieee.

关键词： HVDC power transmission

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