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The Influence of Nozzle Design Elements on the Pressure and Flow Velocity During Opening Process 7

The Influence of Nozzle Design Elements on the Pressure and ...

引用

7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： Cao, Rui Gao, Wen Liu, Guangyi Zhang, Kaiyuan Yu, Wenbo Li, Gang Yan, Jiudun University of Liverpool Dept. of Electrical Engineering and Electronics LiverpoolL697ZX United Kingdom Xi'an High Voltage Apparatus Research Institute Co. Ltd Dept. of Technology Research Xi'an710077 China

ISBN: (纸本)9798350388947

During current breaking of gas filled circuit breaker, the compression chamber should rapidly establish a sufficiently high gas pressure. A nozzle is one of core components of a circuit breaker, and is used to form high-speed gas flows between the breaks. Its design parameters can affect both the pressure buildup effect in the compression chamber and the gas flow velocity in the nozzle throat during breaking process, which then affects the interruption performance of the interrupter. In this paper, based on fluid simulation software, we simulate the pressure in the compression chamber and the gas velocity in the nozzle throat during the no-load opening process, and subsequently analyze the effect of different design parameters of the nozzle. © 2024 IEEE.

关键词： Nozzle design

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A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions

A Compensation Mechanism for EV Flexibility Services using D...

引用

2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Giraldo, Juan S. Arias, Nataly Banol Duque, Edgar Mauricio Salazar Hoogsteen, Gerwin Hurink, Johann L. University of Twente Mathematics and Computer Science Dept. of Electrical Engineering Netherlands Energy Transition Studies Netherlands Eindhoven University of Technology Electrical Energy Systems Group Netherlands

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served. © 2022 IEEE.

关键词： Office buildings

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Design and Characterization of a Ka-Band Parasitic Patch Antenna for 5G Applications

Design and Characterization of a Ka-Band Parasitic Patch Ant...

引用

International Conference on Communication and Electronics Systems (ICCES)

作者： Kahkashan Kouser Mohammad Hannan Faizan Shafi Mohammad Aknan Dept. of Computer Science & Engineering Motihari College of Engineering (MCE) Motihari Motihari Bihar India Dept. of Electrical and Electronics Engineering Rajiv Gandhi Institute of Petroleum Technology Amethi Uttar Pradesh India Dept. of Electrical Electronics and Communication Engineering Indian Institute of Technology Dharwad India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

He design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable for compact wireless *** design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable

关键词： Wireless communication Fabrication Performance evaluation 5G mobile communication Patch antennas Bandwidth Impedance Ka-band Gain Periodic structures

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Multi Class Classification of Acute Leukemia using Transfer Learning

Multi Class Classification of Acute Leukemia using Transfer ...

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2022 International Conference for Advancement in technology, ICONAT 2022

作者： Abhishek, Arjun Santhanam, Naveen Jha, Rajib Kumar Sinha, Ruchi Jha, Kamlesh Indian Institute of Technology Dept. of Electrical Engineering Patna India Vellore Institute of Technology Dept. of Computer Science and Engineering Vellore India All India Institute of Medical Sciences Dept. of Pathology Lab Medicine Patna India All India Institute of Medical Sciences Dept. of Physiology Patna India

ISBN: (纸本)9781665425773

Leukemia is a fatal disease which affects blood cells. Detection of this disease using machine learning and deep learning techniques can reduce the burden of doctors and clinicians. The proposed work performs a multi level classification of acute leukemia involving transfer learning technique. An accuracy of 95% and 96% are achieved for support vector machine and logistic regression, respectively, when features extracted by ResNet50 are used for training. 95% test accuracy is obtained for k-Nearest Neighbor classifier (K=5) when features extracted by MobileNet are used for training. © 2022 IEEE.

关键词： Diseases

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Generating Underwater Acoustic Communication Channel Impulse Responses Using a Diffusion Model

Generating Underwater Acoustic Communication Channel Impulse...

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Underwater Communications and Networking (UComms)

作者： Yongjie Zhuang Dariush Kari Zhengnan Li Milica Stojanovic Andrew C. Singer Dept. Electrical and Computer Engineering Stony Brook University Stony Brook New York USA Dept. Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana Illinois USA Dept. Electrical Engineering Northeastern University Boston Massachusetts USA

ISBN: (数字)9798331542511

ISBN: (纸本)9798331542528

Underwater acoustic communication data is expensive to collect, often yielding experimental data sets that are sufficient for proof-of-concept analysis, but are insufficient for applications that demand orders of magnitude more channel realizations, such as data-driven methods for outage-capacity analysis, network simulation, or statistical regression of new communication algorithms. For such applications, a realistic synthetic dataset is a necessity for the successful generalization of data-driven underwater acoustic (UWA) communication systems. This paper investigates the application of diffusion models for UWA data augmentation for such systems. Diffusion models, as opposed to physics-based models such as BELLHOP or other acoustic propagation tools, extract the essential characteristics of the data without explicit knowledge of environmental parameters. We demonstrate the capability of such models by generating data whose multipath structure and spatiotemporal correlation match those of the Kauai ACOMMS MURI 2011 (KAM11) experiment.

关键词： Underwater communication Correlation Deconvolution Diffusion models Acoustic measurements Data models Time measurement Spatiotemporal phenomena Underwater acoustics Synthetic data

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An Overview of Electric Vehicles and Their Role in the Future of Smart Grid 2.0 and Electricity Markets

An Overview of Electric Vehicles and Their Role in the Futur...

引用

Smart Grid Conference (SGC)

作者： Ahmad Hafezimagham Hossein Shahinzadeh Shohreh Azani Ali Karimi Hamid Reza Baghaee Gevork B. Gharehpetian Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Dept. of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Electrical Engineering Tarbiat Modares University Tehran Iran

ISBN: (数字)9798331511333

ISBN: (纸本)9798331511340

The deployment of Electric Vehicles (EVs) as an integral component of smart energy grids has always been a topic of interest. Research institutions are actively exploring the possibility of replacing internal combustion vehicles with electric ones. The appeal of EVs lies not only in addressing transportation needs but also in their batteries' ability to store electrical energy. With the emergence of EVs, a new form of electrical load is introduced to the power grid. However, with the introduction of Vehicle-to-Grid (V2G) technology, these vehicles can also serve as decentralized energy resources. In recent years, the exchange of energy between power grids and EVs has become a significant focus, leading to extensive studies in this field. Ensuring the required power supply for EVs and utilizing the energy storage capabilities of their batteries to meet power demands at various times of the day necessitate thorough examination. This article provides an overview of foundational concepts, starting with an examination of the technical and economic impacts of deploying EVs on power distribution networks. Subsequently, it explores the influence of adopting this technology on the utilization of renewable energy sources and the environmental implications of EVs. Finally, the article delves into the examination of the participation of EVs in future electricity markets, highlighting their potential role in shaping the landscape of Smart Grid 2.0 and electricity markets.

关键词： Economics Vehicle-to-grid Renewable energy sources Electric potential Transportation Electricity supply industry Batteries Spinning Sustainable development Streams

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Breast Cancer Detection Using Deep Learning Technique 2

Breast Cancer Detection Using Deep Learning Technique

引用

2nd IEEE International Conference on Distributed Computing and electrical Circuits and Electronics, ICDCECE 2023

作者： Urabinahatti, Sachin Jayadevappa, Devappa Tatayasaheb Kore Inst of Engg & Technology Dept. of Computer Science & Engineering Warananagar India Jss Academy of Technical Education Dept of Electronics & Instrumentation Engineering Bengaluru India

ISBN: (纸本)9798350347456

One of the harmful types of cancer that can affect females is breast cancer. With the aid of images of the microscopic structure, breast cancer can be identified. This study uses mammography images to categorize various types of breast cancer. Image processing techniques can be used successfully in the classification of mammography images. Deep learning provides wonderful performance for the classification of images in many applications among various image processing algorithms. Convolutional neural network (CNN) designs like VGG19, Inception-Net, ResNet50, and others are used in effective classification. © 2023 IEEE.

关键词： Convolutional neural networks

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Workshop Management and Control System Based on Digital Twin 8

Workshop Management and Control System Based on Digital Twin

引用

8th International Conference on Control, Automation and Robotics, ICCAR 2022

作者： Wang, Guoshun Bing, Zhigang Hou, Zhaohao Guan, Yong Qi, Xinyue Liu, Mengxin Tianjin University Of Technology And Education Dept. School Of Automation And Electrical Engineering Tianjin China Tianjin University Of Technology And Education Dept. School Of Information Technology And Engineering Tianjin China

ISBN: (纸本)9781665481168

Aiming at the connotation and characteristics of digital twin, and improving the level of informatization and intelligence of the workshop, a workshop management and control system based on digital twins is proposed, which can realize the management and control of the full life cycle of digital twins. Based on the physical production line model of the digital twin, the virtual and real joint debugging method of the digital twin workshop is constructed: the controller controls the virtual model, and the virtual model drives the simulation. The operation and control model of the digital twin is driven through the communication framework of OPC UA (Object Linking and Embedding for Process Unified Architecture), and the virtual and real interaction of the physical production line is used to timely reflect the operation of the workshop. From model building, model digital drive, virtual and real control joint debugging, to full life cycle workshop verification and design simulation, the visual monitoring of the digital twin workshop is finally realized. © 2022 IEEE.

关键词： Program debugging

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Optimal Classification Tiling Algorithm 15

Optimal Classification Tiling Algorithm

引用

15th International Conference on Information and Communication technology Convergence, ICTC 2024

作者： Cheng, Wei-Chen Liou, Cheng-Yuan Polylogarithmic technology Ltd United Kingdom University of Oxford Department of Oncology United Kingdom National Taiwan University Dept. of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350364637

This work presents a max-margin tiling algorithm to construct multi-layer perceptrons with perfect performance for all training patterns. Each perceptron distinguishes a portion of a single class patterns from all the rest patterns, as large as possible. The process is a divide and conquer approach therefore the size of the portion gradually reduced and the algorithm accelerate accordingly. Each layer of such perceptrons encodes different class patterns with different codes, maintaining faithful representations. The max-margin separation boundary is optimal to against noise therefore this construction provides resolution of challenging classification of noisy patterns such as seriously corrupted images. To our knowledge, it gives the best performance for noisy testing patterns among all existing methods. We applied the algorithm on highly sparse data of genetic mutations and identified not only gene NF1, which had been previously found by monogenic analysis, but also a list of genes whose deletions may polygenically associate with a group of breast cancer patients. © 2024 IEEE.

关键词： Genetic algorithms

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IoT Based Weather Station Prototype with CRHUDA Algorithm and Regression for Rain Prediction 11

IoT Based Weather Station Prototype with CRHUDA Algorithm an...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Ramelan, Agus Sulistyo, Meiyanto Eko Kiswanto Rohmani, Rahmat Sukriyandoko, Ivan Abdhira Muharman, Arya Zifa Latifah, Ayu Universitas Sebelas Maret Dept. of Electrical Engineering Surakarta Indonesia Infrastructure and Research Assurance Telkom Indonesia Bandung Indonesia Institut Teknologi Garut Departement of Computer Sciences Garut Indonesia

ISBN: (纸本)9798350389654

Fast and accurate rainfall predictions are needed to improve preparedness for climate change. This work applies Internet of Things (IoT) technology in real-time weather monitoring prototype through the development of an Automatic Weather System (AWS). This system utilizes Arduino Uno, ESP8266, DHT-22, and BMP180 to measure temperature, humidity, and air pressure, and integrates IoT infrastructure for more accurate data collection. The collected data is used in the CRHUDA (Crossing Humidity, Dewpoint, and Atmospheric pressure) model to determine the starting point for rain formation based on the intersection of humidity and air pressure. This model is strengthened by a multiple linear regression algorithm which is refined with the Kalman Filter for more accurate rainfall estimates. The results show that the CRHUDA model and linear regression technique are able to predict rainfall patterns effectively, although the accuracy of the regression model is lower in mild weather conditions. © 2024 IEEE.

关键词： Atmospheric pressure

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