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5th IEEE International Conference on Advanced electrical and Energy Systems, AEES 2024

作者： Wang, Na Dong, Yueyang Zhen, Xiaofei Jiao, Ruonan Fu, Haoran Chen, Yuying Lanzhou Jiaotong University School of Mechatronic Engineering Lanzhou China Lanzhou Jiaotong University School of New Energy and Power Engineering Lanzhou China The University of Adelaide Faculty of Engineering Computer and Mathematical Sciences Adelaide Australia Shandong University of Science and Technology Academy of Electrical and Automation Engineering Qingdao China

ISBN: (纸本)9798331517724

Pilot-operated solenoid valves have the advantage of fast response times and can meet high pressure and large diameter requirements through their structural characteristics, making them widely used in various fields. The pilot-operated solenoid valve discussed in this article is applied in a new energy system a sewage treatment system based on solar photovoltaic and solar thermal technology. The pilot-operated solenoid valve designed in this paper controls the flow rate and velocity of the sewage. This article uses Fluent to calculate the flow coefficient of pilot-type solenoid valves at various openings, exploring the flow characteristics of these valves. Based on computational fluid dynamics, simulations of the cavitation flow field were performed for pilot-type solenoid valve models at different openings, resulting in pressure contour plots and liquid velocity vector diagrams within the pilot valve. The study investigated the effects of the valve opening and the pressure difference at the inlet and outlet on the cavitation conditions within the valve. This provides a foundation for subsequent analysis of the vibration characteristics and structural optimization of solenoid pilot valves. The results indicate that negative pressure occurs within the solenoid pilot valve at all openings, leading to cavitation phenomena. When the opening is greater than or equal to 0.5, significant negative pressure appears near the valve port of the valve sleeve, with more pronounced cavitation phenomena, which can easily lead to cavitation bubbles and deformation. © 2024 IEEE.

关键词： Solenoid valves

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New Speed Sensorless ANN-IFOC Flux Hybrid Estimator Controller for Induction Motor 3

New Speed Sensorless ANN-IFOC Flux Hybrid Estimator Controll...

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3rd IEEE Industrial Electronics and Applications Conference, IEACon 2022

作者： Sepeeh, Muhamad Syazmie Zulkifli, Shamsul Aizam Sim, Sy Yi Chiu, Huang-Jen Jumaat, Siti Amely Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronics Engineering Department of Electrical Power Engineering Johor Batu Pahat Malaysia Faculty of Engineering Technology Department of Electrical Engineering Technology Johor Pagoh Malaysia National Taiwan University of Science and Technology Department of Electronic and Computer Engineering Taipe Taiwan

ISBN: (数字)9781665480062

ISBN: (纸本)9781665480062

This paper is to suggest a new version of sensorless control for induction motor using flux estimator generation to represent the speed input for speed control. The induction motor that been used is been presented as small EV motor in order to replicate a motor EV. This flux-speed hybrid controller is used with ANN-IFOC to replace the actual speed sensor in order to increase the tracking speed and trajectory effect while reduce the cost operation based on flux estimation speed equation. The flux parameter is been selected because any changes on the load the flux will automatically change simultaneously that is good to be applied to the EV motor. The speed controller is still needed in after the speed signal has been generate at ANN-IFOC for flux parameter but without speed sensor. At the end, all the results show, this new sensorless improved version has better time response to track the speed reference even though the load is changes. © 2022 IEEE.

关键词： Speed control

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Internet of Things based Smart Water Leakage Monitoring and Alert System 9

Internet of Things based Smart Water Leakage Monitoring and ...

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9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

作者： Keerthana, S. Elango, S. Judgi, T. Vivek, S.K. Ponmurugan, P. Kumar, Neelam Sanjeev J K K Nataraja College of Engineering and Technology Department of Electrical and Electronics Engineering Komarapalayam638183 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamilnadu Erode India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering India Shree Venkateshwara Hi-Tech Engineering College Department of Electrical and Electronics Engineering Gobichettipalayam638455 India Meenakshi Academy of Higher Education and Research Department of Research Chennai600078 India Saveetha School of Engineering SIMATS Department of Biomedical Engineering Chennai India

ISBN: (纸本)9798350397376

It is critical to manage water supply in a safe and efficient manner. Significant amounts of water are lost each year as a result of leaks in water distribution systems (WDN). As a result, locating leaks in a reliable manner is critical. Water leaks can be detected using monitoring software that analyses the flow of water. Apps that track the user's location can be extremely useful. If this technology is widely adopted, it will aid in the resolution of water management issues such as human error and waste of limited water resources. Water leaks can be located predictably using the Internet of Things (Internet of Things). Many countries struggle to get enough water, but the situation is not hopeless. It is critical to accurately locate water leaks in order to reduce system resistance. © 2023 IEEE.

关键词： Water distribution systems

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Generalization Bounds via Conditional f-Information

arXiv

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arXiv 2024年

作者： Wang, Ziqiao Mao, Yongyi School of Computer Science and Technology Tongji University Shanghai China School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

In this work, we introduce novel information-theoretic generalization bounds using the conditional f-information framework, an extension of the traditional conditional mutual information (MI) framework. We provide a generic approach to derive generalization bounds via f-information in the supersample setting, applicable to both bounded and unbounded loss functions. Unlike previous MI-based bounds, our proof strategy does not rely on upper bounding the cumulant-generating function (CGF) in the variational formula of MI. Instead, we set the CGF or its upper bound to zero by carefully selecting the measurable function invoked in the variational formula. Although some of our techniques are partially inspired by recent advances in the coin-betting framework (e.g., Jang et al. (2023)), our results are independent of any previous findings from regret guarantees of online gambling algorithms. Additionally, our newly derived MI-based bound recovers many previous results and improves our understanding of their potential limitations. Finally, we empirically compare various f-information measures for generalization, demonstrating the improvement of our new bounds over the previous bounds. Copyright © 2024, The Authors. All rights reserved.

关键词： Variational techniques

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FEM-based modeling of microsphereenhanced interferometry

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Light(Advanced Manufacturing) 2022年第4期3卷 73-85页

作者： Tobias Pahl Lucie Hüser Sebastian Hagemeier Peter Lehmann Measurement Technology Group Faculty of Electrical Engineering and Computer ScienceUniversity of KasselWilhelmshöher Allee 7134121 KasselGermany

To improve the lateral resolution in microscopic imaging,microspheres are placed close to the object’s surface in order to support the imaging process by optical near-field *** microsphere-assisted measurements are part of various recent studies,no generally accepted explanation for the effect of microspheres *** nanojets,enhancement of the numerical aperture,whispering-gallery modes and evanescent waves are usually named reasons in context with microspheres,though none of these effects is proven to be decisive for the resolution *** present a simulation model of the complete microscopic imaging process of microsphere-enhanced interference microscopy including a rigorous treatment of the light scattering process at the surface of the *** model consideres objective lenses of high numerical aperture providing 3D conical illumination and *** enhanced resolution and magnification by the microsphere is analyzed with respect to the numerical aperture of the objective ***,we give a criterion for the achievable resolution and demonstrate that a local enhancement of the numerical aperture is the most likely reason for the resolution enhancement.

关键词： Electromagnetic modeling Microsphere-assisted microscopy Interference microscopy Coherence scanning interferometry Simulation Finite element method

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Effective Short Packet Communication for Resource Allocation in Wireless Powered Iot Networks 9

Effective Short Packet Communication for Resource Allocation...

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9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

作者： Selvi, K. Kanchana, D. Sankar, R. Princy, B Anni Saravanan, S. Balamurugan, A. R M K Engineering College Department of Information Techology Tamil Nadu India SRM Institute of Science and Technology Department of Computer Applications Tamil Nadu India Chennai Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu India Panimalar Engineering College Department of Computer and Communication Engineering Tamil Nadu India Jeppiaar Institute of Technology Department of Aritificial Intelligence and Data Science Tamil Nadu India

ISBN: (纸本)9798350397376

The Internet-of-things (IoT) is a technology that might be used to link huge amounts of equipment and gadgets in the future. This research uses a hybrid access point (HAP) to explore short packet communication (SPC), in which the IoT devices broadcast their short data packets to the HAP using the energy they gather. As compared to regular wireless networks, SPC has a lower transmission rate and a higher packet error rate. With unlimited block length codes, the allocation of resources in the literature is no longer the best it could possibly be. Based on a user's unique effective amount of information r, their transmission time and packet error rate are tuned to maximize or decrease total effective throughput or total transmission time. Nonconvex issues need the development of efficient ways for unacceptable solutions. These algorithms outperform current benchmarks and are on par with an exhaustive search for the optimum solution in terms of performance. © 2023 IEEE.

关键词： Resource allocation

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Development of Programmed Autonomous Electric Heavy Vehicle: An Application of IoT 2

Development of Programmed Autonomous Electric Heavy Vehicle:...

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2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Reddy, P. Nagasekhar Umaeswari, P. Natrayan, L. Choudhary, Ankur Mahatma Gandhi Institute of Technology Department of Electrical and Electronics Engineering Hyderabad500075 India R.M.K Engineering College Department of Computer Science and Business Systems Kavaraipettai601206 India Saveetha School of Engineering Department of Mechanical Engineering Simats India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun248002 India

ISBN: (纸本)9798350346640

The influence of automation in the agriculture and construction industry plays a vital role in the development of the economic backbone of any country. The factors such as power, torque and speed are efficiently controlled by automation devices using Internet of things (IoT). The heavy vehicles are the multi-faced application carrier which is been used in construction, agriculture, mining and other heavy-duty fields. This research focuses on developing a IoT integrated sensor-based obstacle detection system for programmed autonomous heavy vehicles which will improve safety in both on-road and off-road construction. The automation process consists of two main categories: Observing the environment and recognizing the activities. The environment in our case is both highways and rural roads. An intelligent- camera is utilised to capture the activities from the captured video and process the data. A LiDAR sensor performs the obstacle detection process using laser reflection technology and an ultrasonic sensor is used to process the vibration and sound produced by the obstacle or upcoming vehicles. These three sensors are integrated with a controller-based device to be powered by the power distribution system in the programmed autonomous heavy vehicle. © 2023 IEEE.

关键词： Autonomous vehicles

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Physics-aware cross-domain fusion aids learning-driven computer-generated holography

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Photonics Research 2024年第12期12卷 2747-2756页

作者： GANZHANGQIN YUAN MI ZHOU FEI LIU MU KU CHEN KUI JIANG YIFAN PENG ZIHAN GENG Institute of Data and Information Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518071China School of Optoelectronic Engineering Xidian UniversityXi’an 710071China Department of Electrical Engineering City University of Hong KongHong Kong SARChina School of Computer Science and Technology Harbin Institute of TechnologyHarbin 150001China Department of Electrical and Electronic Engineering The University of Hong KongHong Kong SARChina Department of Computer Science The University of Hong KongHong Kong SARChina

The rapid advancement of computer-generated holography has bridged deep learning with traditional optical principles in recent ***,a critical challenge in this evolution is the efficient and accurate conversion from the amplitude to phase domain for high-quality phase-only hologram(POH)*** computational models often struggle to address the inherent complexities of optical phenomena,compromising the conversion *** this study,we present the cross-domain fusion network(CDFN),an architecture designed to tackle the complexities involved in POH *** CDFN employs a multi-stage(MS)mechanism to progressively learn the translation from amplitude to phase domain,complemented by the deep supervision(DS)strategy of middle features to enhance task-relevant feature learning from the initial ***,we propose an infinite phase mapper(IPM),a phase-mapping function that circumvents the limitations of conventional activation functions and encapsulates the physical essence of *** simulations,our proposed method successfully reconstructs high-quality 2K color images from the DIV2K dataset,achieving an average PSNR of 31.68 dB and SSIM of ***,we realize high-quality color image reconstruction in optical *** experimental results highlight the computational intelligence and optical fidelity achieved by our proposed physics-aware cross-domain fusion.

关键词： computer cross holography

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SDGC: Software Defined Game Clustering for Jitter Optimization 28

SDGC: Software Defined Game Clustering for Jitter Optimizati...

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28th International computer Conference, computer Society of Iran, CSICC 2023

作者： Mahdi Ajoodani, Amir Ghafari, Mohammadreza Dennis-Knieriem, Emma School of Electronics Computers Science and Research Branch Azad University Tehran Iran School of Electrical Engineering Amirkabir University of Technology Tehran Iran Brown University Department of Computer Science RI United States

ISBN: (纸本)9798350338195

Today, with the expansion of computer network users, it is difficult to meet the best Quality of Service (QoS) required for end users. Considering the increasing passion for cloud-based services e.g., games on the cloud, improving the QoS provided is also of great importance. According to this, the use of up-to-date technologies such as Software Defined Networks (SDN) and artificial intelligence could help improving the acceptable required QoS by the gamers. The objective of this article, is to deal with this problem by examining some popular games with different resolution qualities. It has been shown that by sending UDP traffic and applying prioritization based on defined rules an eye-catching improvement in jitter would achieve. The experimental results shows that our proposed method improved 34% reduction on jitter for higher priority games and a 3% improvement for all games. © 2023 IEEE.

关键词： Quality of service

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Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning

Slow Convergence of Interacting Kalman Filters in Word-of-Mo...

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Annual Allerton Conference on Communication, Control, and Computing

作者： Vikram Krishnamurthy Cristian R. Rojas School of Electrical and Computer Engineering Cornell University Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

ISBN: (数字)9798331541033

ISBN: (纸本)9798331541040

We consider word-of-mouth social learning involving $m$ Kalman filter agents that operate sequentially. The first Kalman filter receives the raw observations, while each subsequent Kalman filter receives a noisy measurement of the conditional mean of the previous Kalman filter. The prior is updated by the m-th Kalman filter. When $m=2$ , and the observations are noisy measurements of a Gaussian random variable, the covariance goes to zero as $k^{-1/3}$ for $k$ observations, instead of $O(k^{-1})$ in the standard Kalman filter. In this paper we prove that for $m$ agents, the covariance decreases to zero as $k^{-(2^{m}-1)}$ , i.e, the learning slows down exponentially with the number of agents. We also show that by artificially weighing the prior at each time, the learning rate can be made optimal as $k^{-1}$ . The implication is that in word-of-mouth social learning, artificially re-weighing the prior can yield the optimal learning rate.

关键词： Random variables Kalman filters Noise measurement Standards Convergence

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