Iranian Journal of Science and Technology-Transactions of Electrical Engineering最新文献_第5页

Overlay Network with Non-orthogonal Multiple Access and Energy Harvesting: Performance Evaluation 具有非正交多址和能量收集功能的重叠网络：性能评估

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-03-07 DOI: 10.1007/s40998-024-00706-0

引用次数: 0

A Soft-Switched High-Gain Interleaved DC–DC Converter with Coupled Inductors for Renewable Energy Systems 用于可再生能源系统的带耦合电感器的软开关高增益交错直流-直流转换器

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-03-06 DOI: 10.1007/s40998-024-00705-1

D. V. Sudarsan Reddy, S. Thangavel, Mallikarjuna Golla

引用次数: 0

Ultra-wideband Dual-Polarized Base Station Antenna Design Applied to n77/n78/n79 Bands 应用于 n77/n78/n79 波段的超宽带双极化基站天线设计

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-03-04 DOI: 10.1007/s40998-023-00683-w

Shuai Wang, Xiaoming Li, Wantong An

{"title":"Ultra-wideband Dual-Polarized Base Station Antenna Design Applied to n77/n78/n79 Bands","authors":"Shuai Wang, Xiaoming Li, Wantong An","doi":"10.1007/s40998-023-00683-w","DOIUrl":"https://doi.org/10.1007/s40998-023-00683-w","url":null,"abstract":"In order to meet the communication requirements of multi-band base station antennas, an ultra-wideband dual-polarized 5G base station antenna integrating n77/n78/n79 frequency bands is proposed. The main radiator of the antenna is composed of two pairs of arrow cross-dipoles placed at ± 45°, and the antenna impedance bandwidth is guaranteed by adding four rectangular parasitic patches and opening rectangular slots. The designed parasitic patch expands the bandwidth while enhancing the dual-polarization characteristics of the antenna. Furthermore, a box-type reflector is employed, which facilitates obtaining high gain and good half-power beamwidth. Finally, a sample of the antenna is fabricated and tested. As shown in the measurement results, the − 10 dB impedance bandwidth reaches up to 51.9% (3.0–5.1 GHz) with the antenna isolation in the working frequency band better than 24 dB. In the frequency range of 3.3–5 GHz, the antenna achieves a high gain of 9 dB and a HPBW of 64 ± 2°, and the cross-polarization ratio is better than 21 dB overall. Compared to traditional base station antennas, this antenna has significant advantages in terms of gain and HPBW.","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140025899","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

An Intrusion Detection Model Based on Hybridization of S-ROA in Deep Learning Model for MANET 基于深度学习模型中 S-ROA 混合的城域网入侵检测模型

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-17 DOI: 10.1007/s40998-024-00700-6

M. Ganesh Karthik, U. Sivaji, M. Manohar, D. Jayaram, M. Venu Gopalachari, Ramesh Vatambeti

{"title":"An Intrusion Detection Model Based on Hybridization of S-ROA in Deep Learning Model for MANET","authors":"M. Ganesh Karthik, U. Sivaji, M. Manohar, D. Jayaram, M. Venu Gopalachari, Ramesh Vatambeti","doi":"10.1007/s40998-024-00700-6","DOIUrl":"https://doi.org/10.1007/s40998-024-00700-6","url":null,"abstract":"A kind of wireless network called a “mobile ad hoc network” (MANET) can transfer data without the aid of any infrastructure. Due to its short battery life, limited bandwidth, reliance on intermediaries or other nodes, distributed architecture, and self-organisation, the MANET node is vulnerable to many security-related attacks. The Internet of Things (IoT), a more modern networking pattern that can be seen as a superset of the paradigms discussed above, has recently come into existence. It is extremely difficult to secure these networks due to their scattered design and the few resources they have. A key function of intrusion detection systems (IDS) is the identification of hostile actions that impair network performance. It is extremely important that an IDS be able to adapt to such difficulties. As a result, the research creates a deep learning-based feature extraction to increase the machine learning technique's classification accuracy. The suggested model uses outstanding network-constructed feature extraction (RNBFE), which pulls structures from a deep residual network's many convolutional layers. Additionally, RNBFE's numerous parameters cause a lot of configuration issues because they require manual parameter adjustment. Therefore, the integration of the Rider Optimization Algorithm (ROA) and the Spotted Hyena Optimizer (SHO) to frame the new algorithm, Spotted Hyena-based Rider Optimization (S-ROA), is used to adjust the RNBFE’s settings. Attack classification is performed on the resulting feature vectors using fuzzy neural classifiers (FNC). The experimental analysis uses two datasets that are publicly accessible.","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139755693","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

A Novel Adaptive Flower Pollination Algorithm for Maximum Power Tracking of Photovoltaic Systems Under Dynamic Shading Conditions 用于动态遮阳条件下光伏系统最大功率跟踪的新型自适应授粉算法

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-14 DOI: 10.1007/s40998-024-00696-z

Balmukund Kumar, Amitesh Kumar

{"title":"A Novel Adaptive Flower Pollination Algorithm for Maximum Power Tracking of Photovoltaic Systems Under Dynamic Shading Conditions","authors":"Balmukund Kumar, Amitesh Kumar","doi":"10.1007/s40998-024-00696-z","DOIUrl":"https://doi.org/10.1007/s40998-024-00696-z","url":null,"abstract":"Maximum power point (MPP) technique in photovoltaic (PV) systems implements a tracking controller, which is utilized to optimize the energy production under variable atmospheric conditions. The tracking process becomes more difficult due to appearance of many peaks owing to partial shading conditions. Although conventional and soft computing technologies are frequently used to solve MPP tracking issues, their performance is constrained by the fixed step size of conventional methods. However, once soft computing methods reach a certain MPP, they are constrained by a lack of randomness. The novel adaptive flower pollination algorithm (AFPA) optimization technique proposed in this work, proceeds with global and local searching in a single step, which is very crucial for the success of the MPP tracking with this method. The robustness of the approach is examined by conducting zero, weak, moderate, and strong shading patterns to a complete performance assessment via simulation, and that performance is compared with traditional flower pollination algorithm (FPA) and particle swarm optimization (PSO) techniques. This newly proposed method has the following advantages over the conventional FPA: a) risk of failure is zero; b) oscillation of power, voltage, and current across the load is minimized; c) produced energy is increased by 0.5 to 2.5% with respect to FPA; d) MPP is tracked smoothly and e) reduced MPP tracking time by average 45%. This advantage is especially noticeable in the dynamic variation of the shading patterns.","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139755745","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

Identification of System Exposure for the Northwest Region of Ethiopian Electric Power 埃塞俄比亚电力西北地区系统风险识别

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-14 DOI: 10.1007/s40998-024-00698-x

Mebratu Sintie Geremew, Yalew Gebru Workie, Lidia Bitew Techane

{"title":"Identification of System Exposure for the Northwest Region of Ethiopian Electric Power","authors":"Mebratu Sintie Geremew, Yalew Gebru Workie, Lidia Bitew Techane","doi":"10.1007/s40998-024-00698-x","DOIUrl":"https://doi.org/10.1007/s40998-024-00698-x","url":null,"abstract":"Power system contingency is an operational state that can happen as a result of a system discontinuity and results in overall system voltage instability. The system has seen intermittent power outages in previous years, according to Ethiopia Electric Power. Parts of the grid system were disrupted during the event, and as a result, there was a partial blackout of the system. Therefore, research proposes identifying the system's exposure to lessen the likelihood of such accidents happening. The proposed method demonstrated on 15 bus system Northwest region of Ethiopia Electrical Power Network using DigSILENT software. System’s exposure was evaluated by using the voltage performance index and the overload performance index. The indices enable the evaluation of two distinct system stress signs, including voltage instability and overloads. Performance index data show that the BDII230 bus to the GoII bus line has highest performance index value (4.9488) from other for N-1 line outage circumstances. This indicates that BDII230 bus to the GoII is most dangerous line for interruption of Northwest region of Ethiopian Electric Power network. But the most sensitive bus for voltage limit violations on this condition are Gondar load bus and Metema load bus. Their voltage profile is 0.908 and 0.923 per unit, respectively. Also, for 50% load demand increasing conditions, Gondar load bus has highest performance index value (20.2352) compared to the other load buses and its voltage profile is 0.8879 per unit. So, applying performance index for Northwest region of Ethiopia Electric Power network is used to know the system performance such as voltage instability and overloading, for forecasting future operation and expansion planning of this area.","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139755830","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

Fire/Flame Detection with Attention-Based Deep Semantic Segmentation 利用基于注意力的深度语义分割进行火/火焰检测

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-13 DOI: 10.1007/s40998-024-00697-y

Anil Aliser, Zeynep Bala Duranay

{"title":"Fire/Flame Detection with Attention-Based Deep Semantic Segmentation","authors":"Anil Aliser, Zeynep Bala Duranay","doi":"10.1007/s40998-024-00697-y","DOIUrl":"https://doi.org/10.1007/s40998-024-00697-y","url":null,"abstract":"Fire/flame detection from images or videos is very important for early fire warning systems. In this way, fires can be intervened early and extinguished before they grow. Recently, many studies have been published on early fire warning systems based on image processing and machine learning. These studies are generally color space-based image segmentation applications. The given images are first transferred to another color space, and the fire/flame regions are determined by using color segmentation. In this study, a segmentation technique using deep network architecture for fire/flame detection is presented. The proposed method is a segmentation network structure in which the attention gate module is integrated. In the presented method, the success of the deep network architecture is evaluated by using the dice, Tversky, and focal Tversky loss functions. A data set containing 500 images was used for experimental studies, with the fivefold cross-validation criterion, and the success achieved was presented depending on the mean dice and Jaccard similarity criteria. The calculated results were compared with some studies in the literature. The comparison results were shown that the presented technique produced more successful results.","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139755616","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

A Fixed-Time Multi-Platoon Maneuvers with Actuator Saturation and Faults 具有推杆饱和与故障的固定时间多排机动装置

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-05 DOI: 10.1007/s40998-023-00668-9

Sanjoy Mondal, Santosh Sonar, Jawhar Ghommam

引用次数: 0

Signal Design and Multiple Target Detection in Presence of Clutter in Pulsed FDA Radar 脉冲 FDA 雷达中的信号设计和杂波存在时的多目标探测

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-02 DOI: 10.1007/s40998-023-00693-8

Marziye Golabi, Abbas Sheikhi, Mehrzad Biguesh

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Slew Rate Enhancement Using Recycling Tail Current Source 利用回收尾电流源提高曳光率

IF 2.4 4区工程技术

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-01-30 DOI: 10.1007/s40998-024-00695-0

Mohammad Rashtian

引用次数: 0