Journal of Electrical Engineering-elektrotechnicky Casopis最新文献_第3页

A powerful PTS strategy boosted by a novel discrete crow search algorithm for reducing the PAPR of UFMC signals 一种新的离散乌鸦搜索算法增强的强大PTS策略，用于降低UFMC信号的PAPR

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0026

Sakir Simsir, N. Taspinar

{"title":"A powerful PTS strategy boosted by a novel discrete crow search algorithm for reducing the PAPR of UFMC signals","authors":"Sakir Simsir, N. Taspinar","doi":"10.2478/jee-2023-0026","DOIUrl":"https://doi.org/10.2478/jee-2023-0026","url":null,"abstract":"Abstract As being one of the main waveform candidates developed for meeting the demands of fifth generation (5G) and beyond telecommunication technologies, universal filtered multicarrier (UFMC) has various appealing features contributing to overcome many obstacles in wireless communication. However, due to the usage of multiple subcarriers, UFMC signals suffer from having high peak-to-average power ratio (PAPR), which has to be kept at low level to prevent the communication quality from being deteriorated. To overcome the problem of high PAPR in the UFMC signals, an advanced version of partial transmit sequence (PTS) was created for PAPR alleviation by integrating an intelligent optimization algorithm in place of its random phase generator. To this end, crow search algorithm (CSA) was utilized. Initially, its novel discrete version called DCSA was developed to make it suitable to be employed in phase sequence optimization, which is a type of combinatorial optimization problem to be solved in discrete space. After the integration of DCSA into the conventional PTS, an advanced PTS variant named DCSA-PTS was created for the UFMC. Optimizing the phase sequences via the DCSA instead of generating them in a random way enhances the performance of PTS scheme. Thanks to the DCSA-based phase optimization, it becomes possible to attain better phase combinations in smaller number of searches. The advantage of using DCSA as a phase optimizer is supported by the simulation results. Due to the superior phase optimization performance of our novel DCSA, the proposed DCSA-PTS strategy clearly outperforms the other schemes considered in this paper.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"74 1","pages":"197 - 209"},"PeriodicalIF":0.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47337135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New design and optimization of an in-wheel permanent magnet motor with tangentially magnetized magnets and unequal stator teeth 具有切向磁化磁体和不等定子齿的轮内永磁电机的新设计和优化

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0029

Lassaad Zaaraoui, A. Mansouri

{"title":"New design and optimization of an in-wheel permanent magnet motor with tangentially magnetized magnets and unequal stator teeth","authors":"Lassaad Zaaraoui, A. Mansouri","doi":"10.2478/jee-2023-0029","DOIUrl":"https://doi.org/10.2478/jee-2023-0029","url":null,"abstract":"Abstract Permanent magnet synchronous machines (PMSM) are competitive motors for in-wheel traction systems of electric vehicles. A new tangentially magnetized permanent magnets machine with outer rotor and unequal stator teeth for in-wheel motor application is proposed in this paper. The analytical calculations of the proposed topology are presented by determining the magnetic flux densities and the iron losses in all parts of the machine. The machine design is optimized using three state-of-the-art multiobjective algorithms which are AbYSS, MOCell and NMOPSO algorithms. Moreover, the optimization procedure is carried out according to three objectives: the maximization of the machine efficiency and the minimization of the mass and ripple torque. The optimization results showed that all the algorithms can find a set of optimal solutions and that the NMPSO algorithm outperforms the other two techniques. The finite element method (FEM) is used to investigate the optimization results. It is observed some magnetic saturation in the rotor yoke and the magnet’s extremes. The value of the induction in these machine regions is about 1.9 T. The comparison between the FEM and optimization results proved the rationality of the proposed optimization procedure.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"74 1","pages":"228 - 239"},"PeriodicalIF":0.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42446309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Entaglement and communication in digital qubits using FPGAs 基于fpga的数字量子比特的纠缠与通信

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0021

Bhuvan Hawargi, K. Akshay, Kaustav Bhowmick

引用次数: 0

6G wireless system: The emerging trend in cellular technology 6G无线系统：蜂窝技术的新兴趋势

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0030

Adegoke Adesoye Sikiru, A. Olukayode, Otegbeye Adeyinka Lateef, Soneye Olufemi Sobowale

引用次数: 0

Sensorless field-oriented control inverter of BLDC motor for copter 直升机无刷直流电机无传感器磁场定向控制逆变器

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0027

David Rau, Tomáš Vršanský

{"title":"Sensorless field-oriented control inverter of BLDC motor for copter","authors":"David Rau, Tomáš Vršanský","doi":"10.2478/jee-2023-0027","DOIUrl":"https://doi.org/10.2478/jee-2023-0027","url":null,"abstract":"Abstract This paper focuses on optimizing the propulsion system, specifically the control aspect. It presents the design of a sensorless inverter with field-oriented control for BLDC motors, primarily intended for copters. The theoretical part covers motor modeling and the design of the control structure, employing field-oriented control and a sensorless approach using back-electromotive force observer to estimate the rotor position. The physical implementation of the control system is based on an electronic inverter with two logical components. The control component utilizes a microprocessor for FOC control and incorporates memory, sensor systems, and peripherals. The power component ensures controlled energy transfer through complementary signals and feedback measurement. Communication between components and with the higher-level system, regarding control and configuration, is also addressed. Finally, the inverter underwent testing on a measurement platform and during copter flights. The measurements focused on motor speed estimation and control performance under load and no-load conditions. The assessment concludes with trust scaling and temperature measurements of the inverter.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"74 1","pages":"210 - 217"},"PeriodicalIF":0.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44559715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pulse diffraction by a circular dielectric cylinder 圆形介质圆柱体的脉冲衍射

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0025

V. Tabatadze, O. Drobakhin, K. Karaçuha

引用次数: 3

Detecting abnormal behavior in megastore for intelligent surveillance through 3D deep convolutional model 利用三维深度卷积模型检测超大仓库异常行为，实现智能监控

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0020

Mohd. Aquib Ansari, D. Singh, V. Singh

{"title":"Detecting abnormal behavior in megastore for intelligent surveillance through 3D deep convolutional model","authors":"Mohd. Aquib Ansari, D. Singh, V. Singh","doi":"10.2478/jee-2023-0020","DOIUrl":"https://doi.org/10.2478/jee-2023-0020","url":null,"abstract":"Abstract The use of neural networks in a range of academic and scientific pursuits has introduced a great interest in modeling human behavior and activity patterns to recognize particular events. Various methods have so far been proposed for building expert vision systems to understand the scene and draw true semantic inferences from the observed dynamics. However, classifying abnormal or unusual activities in real-time video sequences is still challenging, as the details in video sequences have a time continuity constraint. A cost-effective approach is still demanding and so this work presents an advanced three-dimensional convolutional network (A3DConvNet) for detecting abnormal behavior of persons by analyzing their actions. The network proposed is 15 layers deep that uses 18 convolutional operations to effectively analyze the video contents and produces spatiotemporal features. The integrated dense layer uses these features for the efficient learning process and the softmax layer is used as the output layer for labeling the sequences. Additionally, we have created a dataset that carries video clips to represent abnormal behaviors of humans in megastores/shops, which is a consequent contribution of this paper. The dataset includes five complicated activities in the shops/megastores: normal, shoplifting, drinking, eating, and damaging. By analyzing human actions, the proposed algorithm produces an alert if anything like abnormalities is found. The extensive experiments performed on the synthesized dataset demonstrate the effectiveness of our method, with achieved accuracy of up to 90.90%.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"74 1","pages":"140 - 153"},"PeriodicalIF":0.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49230052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On adding security to RLL - LDPC CCSDS codes without additional redundancy 在没有额外冗余的情况下增加RLL - LDPC CCSDS代码的安全性

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0024

P. Farkaš

引用次数: 0

Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems 基于深度学习的OFDM无线系统信道状态估计与信号检测

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0022

Hassan A. Hassan, M. A. Mohamed, M. Essai, Hamada Esmaiel, Ahmed S. A. Mubarak, O. Omer

{"title":"Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems","authors":"Hassan A. Hassan, M. A. Mohamed, M. Essai, Hamada Esmaiel, Ahmed S. A. Mubarak, O. Omer","doi":"10.2478/jee-2023-0022","DOIUrl":"https://doi.org/10.2478/jee-2023-0022","url":null,"abstract":"Abstract Deep learning (DL) algorithms can enhance wireless communication system efficiency and address numerous physical layer challenges. Channel state estimation (CSE) and signal detection (SD) are essential parts of improving the performance of an OFDM wireless system. In this context, we introduce a DL model as an effective alternative for implicit CSE and SD over Rayleigh fading channels in the OFDM wireless system. The DL model is based on the gated recurrent unit (GRU) neural network. The proposed DL GRU model is trained offline using the received OFDM signals related to the transmitted data symbols and added pilot symbols as inputs. Then, it is implemented online to accurately and directly detect the transmitted data. The experimental results using the metric parameter of symbol error rate show that, the proposed DL GRU-based CSE/SD provides superior performance compared with the traditional least square and minimum mean square error estimation methods. Also, the trained DL GRU model exceeds the existing DL channel estimators. Moreover, it provides the highest CSE/SD quality with fewer pilots, short/null cyclic prefixes, and without prior knowledge of the channel statistics. As a result, the proposed DL GRU model is a promising solution for CSE/SD in OFDM wireless communication systems.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"74 1","pages":"167 - 176"},"PeriodicalIF":0.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44687046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Mutually coupled CG-CS current reuse low noise amplifier architecture for 4 – 14 GHz frequency 用于4–14 GHz频率的相互耦合CG-CS电流重用低噪声放大器架构

IF 0.8 4区工程技术

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2023-06-01 DOI: 10.2478/jee-2023-0023

Dheeraj Kalra, Vishal Goyal, Manish Kumar, M. Srivastava

引用次数: 0