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arXiv 2024年

作者： Broens, Yorick Butler, Hans Tóth, Roland The Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands ASML Veldhoven Netherlands The Systems and Control Laboratory HUN-REN Institute for Computer Science and Control Hungary

Motion systems are a vital part of many industrial processes. However, meeting the increasingly stringent demands of these systems, especially concerning precision and throughput, requires novel control design methods that can go beyond the capabilities of traditional solutions. Traditional control methods often struggle with the complexity and position-dependent effects inherent in modern motion systems, leading to compromises in performance and a laborious task of controller design. This paper addresses these challenges by introducing a novel structured feedback control auto-tuning approach for multiple-input multiple-output (MIMO) motion systems. By leveraging frequency response function (FRF) estimates and the linear-parameter-varying (LPV) control framework, the proposed approach automates the controller design, while providing local stability and performance guarantees. Key innovations include norm-based magnitude optimization of the sensitivity functions, an automated stability check through a novel extended factorized Nyquist criterion, a modular structured MIMO LPV controller parameterization, and a controller discretization approach which preserves the continuous-time (CT) controller parameterization. The proposed approach is validated through experiments using a state-of-the-art moving-magnet planar actuator *** Codes 37M15 © 2024, CC BY.

关键词： Continuous time systems

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Sleep Monitoring systems based on Edge Computing and Microservices Caching

Sleep Monitoring Systems based on Edge Computing and Microse...

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Artificial Intelligence of Things (AIoT), IEEE Annual Congress on

作者： Nico Surantha David Jayaatmaja Sani Muhamad Isa Faculty of Science and Engineering Department of Electrical Electronics and Communication Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350392296

ISBN: (纸本)9798350392302

The rapid development of Internet of Things (IoT) technology has enabled the widespread deployment of health monitoring systems. Traditionally, the health monitoring system has been limited by centralized processing and storage in the cloud, leading to latency issues and potential data loss. This paper introduces a smart sleep monitoring system based on edge computing, utilizing microservices architecture and caching techniques. The proposed system employs edge computing to enable data processing closer to the source, reducing latency and improving real-time monitoring capabilities. Caching is employed to reduce database load and optimize random access memory (RAM) usage. This research addresses latency and response time challenges on IoT health monitoring platforms in environments with poor network quality while optimizing database load and resource usage on Jetson Nano as the edge computing device. Using Electrocardiogram (ECG) data as input, the proposed system yields impressive performance metrics. The research results indicate that the proposed system can increase throughput by 26.92 KB/s, reduce response time by 18.8 ms, and decrease latency by 20.86 ms compared to the previous work. Message Queuing Telemetry Transport (MQTT) integration reduces CPU usage by approximately 40% and RAM usage by about 81.24%.

关键词： Cloud computing Databases Random access memory Microservice architectures Real-time systems Nanoscale devices Internet of Things

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An Injection Circuit Coupling Low-DC Voltage Impedance Matching System with Flexible Resonance Points for Square-Wave Voltage Power Amplifier in EM Exploration

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IEEE Transactions on Power Electronics 2025年第8期40卷 11032-11050页

作者： Pang, Ying Zhu, Yongji Ji, Yanju Li, Gang Xiang, Zeng Gong, Cheng Han, Rong Tian, Wei Guo, Qun Wong, Man-Chung Lin, Jun State Key Laboratory of Deep Earth Exploration and Imaging College of Instrumentation and Electrical Engineering Jilin University Chаngсhun China College of Instrumentation and Electrical Engineering Jilin University Changchun China Tongda Electromagnetic Energy Company Ltd. Changsha China State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macao China Institute of Microelectronics University of Macau Macao China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macao China School of Optoelectronic Engineering and Instrumentation Science Dalian University of Technology Dalian China School of Electrical Engineering Guangxi University Nanning China College of Marine Electrical Engineering Dalian Maritime University Dalian China State Key Laboratory of Internet of Things for Smart City University of Macau Macao China

This paper focuses on reactive power compensation and impedance matching of square-wave voltages. Square-wave voltage is the operating voltage in electromagnetic method (EM) exploration. The characteristics of a square-wave voltage are very different from those of a sinusoidal voltage in the power grid. Although some papers proposed impedance matching converters for square-wave voltages, they solved the high DC voltage requirement problem. The problem is caused by square-wave voltage having multiple and variable spectral components. An impedance-matching converter with an injection circuit (IMFR) for square-wave voltage is proposed. IMFR is composed of a thyristor-controlled inductor and capacitor (TCLC) part and injection circuit coupling active Hbridge part. TCLC can be controlled to resonate at the highest energy fundamental frequency for damping the largest part of the DC voltage requirement. The use of TCLC offsets the varying fundamental frequency demand on the DC voltage. First, this paper gives a joint design and optimization approach for the lowest DC voltage requirement. Second, a synergistic control method of proposed IMFR is provided implementing IMFR. Third, two groups of comparative experiments show the proposed IMFR can enlarge the current by 11.8% – 38.5%. The effect on the current increase is 4.4% – 7.9% higher than using only the H-bridge of the previous method when they are operated with the same DC voltage. ©1986-2012 IEEE.

关键词： Natural frequencies

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An Overview of Tools and Techniques in Network Forensics 25

An Overview of Tools and Techniques in Network Forensics

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Asassfeh, Mahmoud Al-Mousa, Mohammad Rasmi Al-Dweikat, Hasan Al-Mashagbeh, Malak Hamad Afaneh, Suha Samara, Ghassan Zaid, Ali Abu Khouj, Mohammed Al Daoud, Essam Zarqa University Department of Cybersecurity Zarqa Jordan Applied Science Private University Cybersecurity and Cloud Computing Department Amman Jordan Zarqa University Department of Computer Science Zarqa Jordan University of Business and Technology Department of Electrical Engineering Jeddah21432 Saudi Arabia Zarqa University Faculty of Information Technology Zarqa Jordan

ISBN: (纸本)9798331540012

Network forensics pertains to a subfield of digital forensics that deals with network security. It is utilized in conjunction with computer network traffic monitoring and analysis, which acts as an intrusion detection system and firewall and facilitates the collection of data and digital proof for network security. This platform is designed to analyze and monitor data in a real-time network environment. It is a crucial instrument for identifying and resolving instances of real-time network misuse. This research shows the differences between network forensics and digital forensics as well as the tools and techniques used in network forensics. It also discusses building forensics platforms, developing network analysis methodologies, and talking about the future of network forensics. © 2024 IEEE.

关键词： Network intrusion

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Archery Algorithm:A Novel Stochastic Optimization Algorithm for Solving Optimization Problems

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computers, Materials & Continua 2022年第7期72卷 399-416页

作者： Fatemeh Ahmadi Zeidabadi Mohammad Dehghani Pavel Trojovsky Štěpán Hubálovsky Victor Leiva Gaurav Dhiman Department of Mathematics and Computer Sciences Sirjan University of TechnologySirjanIran Department of Mathematics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic School of Industrial Engineering Pontificia Universidad Católica de ValparaísoValparaíso2362807Chile Department of Computer Science Government Bikram College of CommercePatialaPunjabIndia

Finding a suitable solution to an optimization problem designed in science is a major ***,these must be addressed utilizing proper *** on a random search space,optimization algorithms can find acceptable solutions to *** Algorithm(AA)is a new stochastic approach for addressing optimization problems that is discussed in this *** fundamental idea of developing the suggested AA is to imitate the archer’s shooting behavior toward the target *** proposed algorithm updates the location of each member of the population in each dimension of the search space by a member randomly marked by the *** AA is mathematically described,and its capacity to solve optimization problems is evaluated on twenty-three distinct types of objective ***,the proposed algorithm’s performance is compared *** approaches,including teaching-learning based optimization,marine predators algorithm,genetic algorithm,grey wolf optimization,particle swarm optimization,whale optimization algorithm,gravitational search algorithm,and tunicate swarm *** to the simulation findings,the AA has a good capacity to tackle optimization issues in both unimodal and multimodal scenarios,and it can give adequate quasi-optimal solutions to these *** analysis and comparison of competing algorithms’performance with the proposed algorithm demonstrates the superiority and competitiveness of the AA.

关键词： Archer meta-heuristic algorithm population-based optimization stochastic programming swarm intelligence population-based algorithm Wilcoxon statistical test

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Emotion Recognition in Human Thermal Images with Artificial Intelligence Technology 28

Emotion Recognition in Human Thermal Images with Artificial ...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Pavel, Sorin Moldovanu, Simona Aiordachioaie, Dorel Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Electronics and Telecommunications Galati Romania Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Computer Science and Information Technology Galati Romania

ISBN: (纸本)9798350339918

This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for important feature selection and extraction by using the random forest (RF) classifier. All and selected features set is used as input to a feedforward backpropagation neural network (FFBPN), with binary outputs. The input images are organized in pairs, i.e., normal with sad and normal with happy. The preliminary results show particularly good classification accuracy. © 2023 IEEE.

关键词： Emotion Recognition

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Transforming Homes into Smart Havens: Advanced control with NodeMCU and Android Technology

Transforming Homes into Smart Havens: Advanced Control with ...

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International Conference on Power, Energy, control and Transmission systems (ICPECTS)

作者： C. Selvarathi P. Santhi K. Deepa G. Ramya Shri C. Visali T. Abirami Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamilnadu India Department of Computer Science and Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Tiruchirapalli Tamilnadu Department of Computer Science and Engineering M. Kumarasamy College of Engineering Department of Information Technology Vivekanandha College of Engineering for Women (Autonomous) Namakkal India ECE Kongu Engineering College Perundurai Tamilnadu India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508852

Creating groundbreaking solutions that benefit the populace is imperative in the modern era. The Internet of Things (IoT) serves as a trailblazing sector, fostering the development of contrivances automating an array of tasks. The IoT encompasses an interlinked network of cyber-connected contrivances executing functions with minimal human intervention. Capitalizing on IoT principles, this exploration endeavors to contrive a device aiding individuals grappling with mobility impediments. The envisioned gizmo consists of two primary sectors: a hardware module featuring a channel relay, Arduino, and an astute luminescent bulb, and a software element encompassing cloud and IoT platforms alongside a purpose-built app. The chief function of this contraption is to discern specific vocalizations in an individual’s utterances, effectuating or deactivating the astute contraption to institute an intelligent habitation. In the initial phase, a luminous bulb will serve as a demonstration, employing for app origination. The distinctive aspect of this program lies in its vocalization-receptive microphone, with Bluetooth and Wi-Fi chips augmenting transmission velocity between the luminescent bulb and the mobile device. Meticulous attention will be accorded to auditory sensitivity and expeditious data transmission, with potential integration of diverse contrivances like ventilators and temperature-regulating apparatus into the envisioned gizmo. Furthermore, contemplation extends to a fortified safety attribute ensuring singular response to a particular vocal identity.

关键词： Ventilators Sensitivity Prototypes Software Safety Internet of Things Relays Wireless fidelity Smart phones Remote control

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ONE CASH: A NEW GENERATION OF E-WALLET FOR MOBILE MONEY 21

ONE CASH: A NEW GENERATION OF E-WALLET FOR MOBILE MONEY

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21st International Conference on Applied Computing 2024, AC 2024 and 23rd International Conference on WWW/Internet 2024, ICWI 2024

作者： Ngomo, Macaire Mouyele, Clavy Viannet Mbou Mechanical – Energy – Engineering Laboratory The National Higher Polytechnic School Marien NGOUABI University Brazzaville Congo Laboratory of Digital Analysis Computer Science and Applications Faculty of Sciences and Technology of Marien NGOUABI University Brazzaville Congo CM IT CONSEIL Department of Engineering Research Innovation Romilly sur Seine France IMAGINE TECHNOLOGY Engineering Department Brazzaville Congo

ISBN: (纸本)9789898704627

Launched in Congo in 2012 by mobile phone operators, Mobile Money is a digital financial service that offers the possibility of opening an account for free and carrying out financial transactions for free. The flexibility and ease of access to this service has therefore encouraged its integration into all social strata of the population. Subscribers can then carry out several types of operations: pay bills, transfer money, receive money, deposit money, etc. However, the fact that financial transactions are still very expensive and are currently only carried out between subscribers of the same mobile operator is a real limitation that must be overcome. In addition to this high cost limitation and the lack of a gateway between operators, which we want to remedy, the old hierarchical USSD (Unstructured Supplementary Service Data) or SIM (Subscriber Identity Module) toolkit menu interfaces discourage many users. A single cash transaction can require seven to eight menu screens and the entry of two to three sequences of numbers. Mistakes are too easy. Smartphone interfaces not only have the potential to simplify basic transactions, but they can also solve many other obstacles. They can display content in a richer and clearer way than simple text. In this article, we propose an innovative solution, called "One Cash", which provides a concrete and practical solution to these major concerns by integrating the APIs of mobile and/or financial operators and exploiting the richness and flexibility of smartphone interfaces to simplify usage. In particular, content is presented in a richer and clearer way than simple text, the number of manipulation steps has been reduced with the proposed solution, thus reducing the user's cognitive load, customers quickly sign up for new services, and can even self-register without having to fill out costly paper forms or visit a branch or kiosk, etc. In this article, we highlight the interest of a diversified offer of m-payment services includ

关键词： Smartphones

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Direct Metric Optimization for Imbalanced Classification 11

Direct Metric Optimization for Imbalanced Classification

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11th IEEE International Conference on Healthcare Informatics, ICHI 2023

作者： Travadi, Yash Peng, Le Cui, Ying Sun, Ju University of Minnesota School of Statistics MinneapolisMN55455 United States University of Minnesota Department of Computer Science & Engineering MinneapolisMN55455 United States University of Minnesota Department of Industrial and Systems Engineering MinneapolisMN55455 United States

ISBN: (纸本)9798350302639

Imbalanced classification (IC) involves training models in datasets with uneven label distribution. It has been widely stuided [1] , [2] , with various applications such as object detection [3] , [4] , image retrieval [5] , [6] , and image segmentation [7] , [8] , [9]. In clinical research, data imbalance is also a prominent issue, where negative control usually significantly outweighs positive cases due to the innate low prevalence rate of certain diseases. Especially for tasks related to rare diseases (e.g., amyotrophic lateral sclerosis, where the prevalence rate can be as low as 0.001% [10] ), the imbalance problem is severe and almost inevitable. © 2023 IEEE.

关键词： Clinical research

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Stochastic Method and Sensitivity Analysis Assessments for Vehicle-to-Home Integration based on Renewable Energy Sources 3

Stochastic Method and Sensitivity Analysis Assessments for V...

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3rd IEEE International Maghreb Meeting of the Conference on sciences and Techniques of Automatic control and computer engineering, MI-STA 2023

作者： Alsharif, Abdulgader Ahmed, Abdussalam Ali Khaleel, Mohamed Mohamed Alarga, Ahmed Salem Daw Jomah, Omer.S. M. Alrashed, Alarabi Bin Eisa Faculty of Engineering Johor Bahru Malaysia Bani Waleed University Mechanical Engineering Department Bani Waleed Libya Engineering Karabuk University Department of Electrical-Electronics Karabuk Turkey Elmergib University Department of Computer Science Khums Libya Libyan Academy for Postgraduate Studies Tripoli Libya Sabratha University College of Engineering Sabratha Libya

ISBN: (纸本)9798350319897

Electric Vehicles (EVs) as hotspot research are increasingly being used as alternative energy sources outside of transportation due to global variables like energy usage and environmental concerns. Gridable Electric Vehicle (GEV) is exploiting the opportunity for connecting EVs to the grid. EVs are now capable of contributing to addressing power limitations and acting as a reserve source of energy for the distribution grid in the Electric Vehicle Charging Facility (EVCF) to form Vehicle-to-Home (V2H). This paper is introduced to estimate impacts on the load for the uncertain behavior of EVs under domestic load after being sized using algorithms. Although, the integration of EVs provides an economical and environmental solution with a positive impact, however, it affects the power system when the uncertain number of EVs is provided as heavy duty. Sensitivity analysis has been considered in the study to investigate the expected changes in the system from the affected components. © 2023 IEEE.

关键词： Sensitivity analysis

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