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International Conference on electrical Machines and Systems (ICEMS)

作者： Pichai Aree Department of Electrical and Computer Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani Thailand

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

Induction motors are the most frequently employed as industrial drives since they are reliable and economical. Before putting the motors into service, their operating efficiencies must be carefully chosen to match with a desired mechanical loading range. So, the motor’s efficiency-slip curves are often required for proper selections of induction motor drives. This paper proposes a new method for estimating the efficiency-versus-speed profile of industrial induction motors. This method requires motor manufacturer data. Validation is conducted using a conventional standard equivalent-circuit model of single-cage induction motors. The presented approach helps users to select a proper operating condition of induction motors more efficiently.

关键词： Induction motor drives Induction motors Correlation Computational modeling Loading Reliability Standards

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Sensitivity and Distance Based Performance Analysis for Batteryless Tags with Transmit Beamforming and Ambient Backscattering

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China Communications 2022年第2期19卷 109-117页

作者： Minzheng Jia Chaochao Yao Wei Liu Ruyi Ye Tutun Juhana Bo Ai Department of Information Engineering Beijing Polytechnic CollegeBeijing 100042China School of Computer and Information Technology Beijing Jiaotong UniversityBeijing 100044China School of Communication and Information Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China Chinese National Institute of Standalization Beijing 100088China School of Electrical Engineering and Informatics Institut Teknologi BandungIndonesia State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China

Ambient backscatter is a new green technology for Internet of Things(IoT)that utilizes surrounding wireless signals to enable batteryless devices to communicate with other *** battery-free devices first harvest energy from ambient wireless signals and then backscatter the signals for ***,sensitivity and distance are two important parameters for system ***,most existing studies on ambient backscatter communication systems do not consider the impact of the sensitivity of the energy-harvesting nodes and the distances between these *** this paper,we first provide a literature review for ambient communication technology and then take sensitivity and distance as two key parameters and investigate the sensitivity and distance based performance for ambient backscatter communication ***,we establish the mathematical model based on distances between transceivers and backscattering nodes,extract a parameter that can differentiate the direct path and the backscattering path,evaluate the effects of transmit beamforming,design an energy detector for the reader,and analyze the outage probability of energy harvesting at the tag and the bit error rate(BER)at the *** are then provided to corroborate the proposed studies.

关键词： ambient backscatter battery-free tag Internet of Things(IoT) outage probability performance analysis sensitivity transmission distance

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Numerical Integration Study for Spherical Near-Field to Far-Field Transformations

Numerical Integration Study for Spherical Near-Field to Far-...

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International electrical engineering Congress (iEECON)

作者： Kitiphon Sukpreecha Titipong Lertwiriyaprapa Danai Torrungrueng Prayoot Akkaraekthalin Kittisak Phaebua Research Center of Innovation Digital and Electromagnetic Technology (iDEMT) Faculty of Technical Education King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Electrical Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

This paper presents a numerical integration study for spherical near field (NF) to far field (FF) transformations. The trapezoidal and Simpson 1/3 numerical integration methods are employed in the NF to FF transformations algorithm. The performance of both numerical integrations is investigated. In this study, a seven patch array antenna is employed. Simulated FF results are performed by three dimensional (3D) simulation program (CST Microwave Studio) and used as the reference. The collected NF sampling data is divided into two cases; 1) over-sampled NF angles of $\theta = \phi = {2^{\circ}}$ and 2) under-sampled NF angles of $\theta = \phi = {12^{\circ} }$ . The investigation reveals that, in the case of under-sampled near field (NF) angles of $\theta = \phi = {12^{\circ} }$ , the trapezoidal demonstrates lower errors of the FF radiation pattern in comparison to those of Simpson 1/3. Particularly, the trapezoidal is suitable for the under-sampled NF measurement case.

关键词： electrical engineering Three-dimensional displays Atmospheric measurements Particle measurements Microwave theory and techniques Microwave antenna arrays Noise measurement

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Fast and Robust Energy Router control in Dynamic Conditions Using Flatness-Based control Theory

Fast and Robust Energy Router Control in Dynamic Conditions ...

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Compatibility in Power Electronics (CPE)

作者： Mohammadreza Azizi Oleksandr Husev Carlos Roncero-Clemente Oleksandr Veligorskyi Ryszard Strzelecki Department of Radiotechnic and Embedded Systems Chernihiv Polytechnic National University Chernihiv Ukraine Department of Electric Electronic and Automation Engineering University of Extremadura Badajoz Spain Faculty of Electrical and Control Engineering Gdansk University of Technology Gdansk Poland

ISBN: (数字)9798331515171

ISBN: (纸本)9798331515188

In this paper, flatness-based control theory is developed to enhance the dynamic performance of a multiport energy router. The energy router integrates multiple power sources and sinks, including photovoltaic systems, battery storage, the grid, and various loads. Consequently, any sudden change in a subsystem can induce dynamic conditions across the entire system. The presented method controls the grid-side inverter and regulates the de link voltage. To implement this control approach, the system equations have been established, and it has been demonstrated that the system is differentially flat. Afterward, the controller design has been addressed. The simulation results confirm the proper performance of this method, and the comparisons made validate the high speed and accuracy of the system responses compared to conventional solutions.

关键词： Photovoltaic systems Power engineering Accuracy Simulation Modulation control systems Inverters Mathematical models control theory Voltage control

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基于云物联网的家庭能源管理系统的设计与实施

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家电科技 2023年第4期4卷 8-12页

作者： Felipe Condon José M.Martínez Ali M.Eltamaly Young-Chon Kim Mohamed A.Ahmed Department of Electronic Engineering Universidad TÃ©cnica Federico Santa MarÃa ValparaÃso 2390123 Chile Electrical Engineering Department Faculty of Engineering Mansoura University Mansoura 35516 Egypt Sustainable Energy Technologies Center King Saud University Riyadh 11421 Saudi Arabia Department of Computer Engineering Jeonbuk National University Jeonju 561-756 Republic of Korea

如今,物联网(IoT)已应用在了不同领域,例如运输、医疗保健、农业和电力系统.这些物联网解决方案旨在监视和控制不同场景中的各种元素和设备,从而简化任务并为日常生活提供高效率的应用程序.在电力系统中,能源在为我们的家庭和电器供电... 详细信息

如今,物联网(IoT)已应用在了不同领域,例如运输、医疗保健、农业和电力系统.这些物联网解决方案旨在监视和控制不同场景中的各种元素和设备,从而简化任务并为日常生活提供高效率的应用程序.在电力系统中,能源在为我们的家庭和电器供电方面发挥着核心作用.然而,用于估计房屋消耗的计量过程广泛依赖于机电电能表,这意味着公共事业机构必须雇用人员每月执行计量任务,以便向客户收费.至于房屋内的电器消耗,居民可能不知道每个电器的单独用电量,因此会造成低效的能源使用.所以智利设定了到2025年安装约650万个智能电表的目标.该目标主要侧重于通过网络界面和应用程序提供更详细的能源账单和能源消耗接口,以及实施新的关税制度,从而实现使用智能电表来降低能源的需求.

关键词： home energy management system smart home Internet of Things cloud infrastructure

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SEMU5G: an Emulator for Improving Model Accuracy and Performance Evaluation of 5G Network Core Architectures based on SDN

SEMU5G: an Emulator for Improving Model Accuracy and Perform...

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International Conference on Wireless and Telematics (ICWT)

作者： Eki Ahmad Zaki Hamidi Arga Valen Lazuardi Muhammad Litfan Rahmansyah Salman Alfarizi Novel Bajri Rohmat Tulloh Ridha Muldina Negara Syaiful Ahdan Jupriyadi Electrical Engineering Department UIN Sunan Gunung Djati Bandung Bandung Indonesia School of Electrical Engineering Telkom University Bandung Indonesia Telecommunication Technology School of Applied Science Telkom University Bandung Indonesia The University Center of Excellence Intelligent Sensing-IoT Telkom University Indonesia Faculty of Engineering & Computer Science Universitas Teknokrat Indonesia Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia

ISBN: (数字)9798350377057

ISBN: (纸本)9798350377064

The rapid advancement of 5G Radio Access Network (RAN) architecture is facilitating the construction of 5G networks, marking a significant milestone in telecommunications evolution. Given the complexity of the 5G core architecture, traditional simulation methods are insufficient, necessitating novel approaches. Emulator systems are crucial for creating dynamic, controlled environments that enable exploration of real-world scenarios without physical constraints. SEMU5G, a 5G core emulator, SDN controller, and RAN simulator, utilizes Open5GS implemented in Docker Container for test system flexibility and isolation. Additionally, an SDN controller is integrated to monitor data flows in the User Plane Function (UPF) and gNB simulated by UERANSIM in Mininet-WiFi. This comprehensive integration facilitates effective and flexible real-world exploration, providing a dynamic and controlled test environment for 5G core research. Scenario testing comprises two stages: firstly, a fixed network topology is employed to compare resource usage and confirm successful SEMU5G integration. Secondly, a mobile network topology is utilized to implement a mobile device scenario and compare the Quality of Service (QoS) of SEMU5G with other available emulators. These stages ensure thorough evaluation of SEMU5G's performance and its comparative advantage over existing solutions.

关键词： Performance evaluation 5G mobile communication Network topology Emulation computer architecture Quality of service Aerodynamics

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Position Estimation Method of a Permanent Magnet Synchronous Motor Based on Moving Horizon Estimation EKF algorithm

Position Estimation Method of a Permanent Magnet Synchronous...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Guang-Zhong Cao Hao-Han Zhou Su-Dan Huang Hong-Jin Hu Jiang-biao He Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen China Department of Electrical and Computer Engineering University of Kentucky Lexington KY USA

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Extended Kalman filter (EKF) is widely applied in the position estimation algorithm for permanent magnet synchronous motors (PMSMs). However, the estimation accuracy will be degraded, when measurement noise is not O-mean white noise. To solve this problem, this paper proposes an EKF algorithm with moving horizon estimation (MHE) to estimate the rotor position of PMSM more accurately. The proposed MHE EKF algorithm uses the concept of a moving time domain window to estimate the motor operating status by integrating the window information of the $N$ moments. By establishing a cost function and adding random noise to replace the measurement error, the prediction problem is transformed into an optimization problem. Simulation and experiment results show that this algorithm can effectively improve the accuracy of estimation position.

关键词： Accuracy Magnetic separation Estimation Rotors White noise Prediction algorithms Permanent magnet motors

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Three-dimensional point cloud registration using particle swarm optimization 18

Three-dimensional point cloud registration using particle sw...

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18th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Wongkhuenkaew, Ritipong Auephanwiriyakul, Sansanee Theera-Umpon, Nipon Chiang Mai University Faculty of Engineering Graduate School Computer Engineering Department Chiang Mai Thailand Chiang Mai University Faculty of Engineering Biomedical Engineering Institute Computer Engineering Department Chiang Mai Thailand Chiang Mai University Faculty of Engineering Biomedical Engineering Institute Electrical Engineering Department Chiang Mai Thailand

ISBN: (纸本)9780738111278

In order to reconstruct a three-dimensional model, a registration process in the three-dimensional space is required. Although, there are many existing methods in finding transformation matrices, there are none that can handle translation, scaling, rotation, and sheering. Hence, in this paper, we develop a three-dimensional registration method using the particle swarm optimization (PSO). We generate three synthetic shapes, i.e., cube, cylinder, and pyramid. We also transform these shapes to provide the transformation ground truth. The results show that the proposed algorithm is able to find a very good transformation matrix with extremely small registration mean squared errors in the order of 10-31, 10-31, and 10-11 for cubical, cylindrical, and pyramidal shapes, respectively. © 2021 IEEE.

关键词： Three dimensional computer graphics

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Arabic text sentiment analysis and emotion classification using transformers

Arabic text sentiment analysis and emotion classification us...

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Electronics, Communications, and Computations (JAC-ECC), International Japan-Africa Conference on

作者： Nada Mossad Youssef Mohamed A Fares Ahmed B. Zaky Egypt-Japan University of Science and Technology (E-JUST) Alexandria Egypt The Department of Electrical Engineering The Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University

Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims to identify the polarity of written texts, ranging from positive to negative. Meanwhile, emotion classification is focused on recognizing and categorizing the emotional states expressed in the text. To achieve a deeper understanding of sentiments and emotions, it's essential to utilize models like BERT transformers that can effectively interpret the context. The process begins with data preprocessing, including tokenization and noise removal, followed by fine-tuning techniques to adapt the BERT model to the proposed tasks. We employed the BERT model on four datasets obtained from various sources, including Twitter, news websites, and restaurant reviews, where each dataset represents a distinct Arabic dialect. Our proposed model outperforms commonly used techniques like LSTM and CNN, yielding superior results. Despite the progress made, there are still challenges to overcome, such as dealing with Arabic diacritics, the new Arabic Arabizi, which uses Latin characters, and handling Arabic idioms. Further research is required to address these challenges adequately.

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Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments

Towards Deep Learning-based Occupancy Detection Via WiFi Sen...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Cristian Turetta Geri Skenderi Luigi Capogrosso Florenc Demrozi Philipp H. Kindt Alejandro Masrur Franco Fummi Marco Cristani Graziano Pravadelli Department of Computer Science University of Verona Italy Department of Electrical Engineering and Computer Science University of Stavanger Norway Faculty of Computer Science TU Chemnitz Germany

In the context of smart buildings and smart cities, the design of low-cost and privacy-aware solutions for recognizing the presence of humans and their activities is becoming of great interest. Existing solutions exploiting wearables and video-based systems have several drawbacks, such as high cost, low usability, poor portability, and privacy-related issues. Consequently, more ubiquitous and accessible solutions, such as WiFi sensing, became the focus of attention. However, at the current state-of-the-art, WiFi sensing is subject to low accuracy and poor generalization, primarily affected by environmental factors, such as humidity and temperature variations, and furniture position changes. Such is-sues are partially solved at the cost of complex data preprocessing pipelines. In this paper, we present a highly accurate, resource-efficient deep learning-based occupancy detection solution, which is resilient to variations in humidity and temperature. The approach is tested on an extensive benchmark, where people are free to move and the furniture layout does change. In addition, based on a consolidated algorithm of explainable AI, we quantify the importance of the WiFi signal w.r.t. humidity and temperature for the proposed approach. Notably, humidity and temperature can indeed be predicted based on WiFi signals; this promotes the expressivity of the WiFi signal and at the same time the need for a non-linear model to properly deal with it.

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