2021 29th Iranian Conference on Electrical Engineering (ICEE)最新文献_第5页

Optimized ANFIS-based Control Design Using Genetic Algorithm to Obtain the Vaccination and Isolation Rates for the COVID-19 基于遗传算法优化anfisc控制设计，获得COVID-19疫苗接种率和隔离率

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544298

Z. Abbasi, M. Shafieirad, A. H. Amiri Mehra, I. Zamani

引用次数: 4

Design of a highly efficient photoconductive terahertz modulator enhanced by photonic crystal resonant cavity 光子晶体谐振腔增强的高效光导太赫兹调制器设计

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544188

F. Alihosseini, Zahra Heshmatpanah, H. Zandi

引用次数: 1

A Fast Approach for Deep Neural Network Implementation on FPGA 基于FPGA的深度神经网络快速实现方法

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544450

M. Nobari, H. Jahanirad

引用次数: 1

Improved Low Voltage Ride Through by A STATCOM Based on Neutral Point Piloted (NPP) Multilevel Inverter 基于中性点导频(NPP)多电平逆变器的STATCOM改进低压穿越

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544466

Y. Neyshabouri, M. Farhadi‐Kangarlu

{"title":"Improved Low Voltage Ride Through by A STATCOM Based on Neutral Point Piloted (NPP) Multilevel Inverter","authors":"Y. Neyshabouri, M. Farhadi‐Kangarlu","doi":"10.1109/ICEE52715.2021.9544466","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544466","url":null,"abstract":"By ever-increasing utilization of renewable energy systems, grid codes impose strict standards for current compensation, especially for asymmetric grid faults namely low voltage ride through (LVRT) codes. On the other hand, multilevel voltage source inverters have achieved prominent attention considering their lower dv/dt and harmonic content. This paper introduces a STATCOM based on neutral point piloted inverter (NPPI) for the first time. The studied 5-level NPPI has a single dc bus which feds all phases of the inverter and each phase contains two internal flying capacitors. A control system has been developed for NPPI-STATCOM through which the voltage of dc bus capacitor is controlled at its reference and using redundant switching states, the voltages of internal capacitors are balanced as well. Thus, NPPI-STATCOM control system is capable of balancing the voltage of internal capacitors even being connected to a faulty grid while positive and negative-sequence reactive currents being injected to the grid. Several simulation results in MATLAB/SIMULINK confirm the above claims indicating the performance of NPPI-STATCOM and the developed control system.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125458497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Dual-beam Orthogonal Circular Polarized Leaky-wave Holographic Antenna 双波束正交圆极化漏波全息天线设计

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544457

Mohammad Amin Chaychizadeh, N. Komjani

引用次数: 5

Multiswarm Binary Butterfly Optimization Algorithm for Solving the Multidimensional Knapsack Problem 求解多维背包问题的多群二元蝴蝶优化算法

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544302

Shakiba Shahbandegan, M. Naderi

{"title":"Multiswarm Binary Butterfly Optimization Algorithm for Solving the Multidimensional Knapsack Problem","authors":"Shakiba Shahbandegan, M. Naderi","doi":"10.1109/ICEE52715.2021.9544302","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544302","url":null,"abstract":"The multidimensional knapsack problem (MKP) is a well-known NP-hard combinatorial optimization problem which can be employed to model many practical engineering problems. Metaheuristic methods are proven efficient in solving NP-hard problems in a reasonable amount of time where exact methods face limitations. In the past decades, many heuristic methods have been developed to solve the MKP. Butterfly Optimization Algorithm (BOA) is a recently developed metaheuristic method that has attracted the attention of various researchers due to its simplicity and potential as an optimization technique for global optimization problems in various applications. In this paper, the Multiswarm Binary BOA (MBBOA) is introduced to solve the 0–1 MKP. MBBOA employs a parallel search strategy to reach the optimum values in a reduced amount of time. To prove the efficiency of the proposed method, two experiments are conducted on 11 medium-scale and large-scale benchmark problems. Obtained results show that MBBOA is able to solve the MKP in a remarkably less amount of time compared with the sequential binary BOA algorithm.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Refractive Index Sensor Based on Photonic Crystal Nanocavities 基于光子晶体纳米腔的折射率传感器

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544255

M. Zargarzadeh, M. Yavari, Mohammad Heydari, M. Rezaei

引用次数: 0

Design and Analysis of a Low-Power Two-Stage Dynamic Comparator with 40ps Delay in 65nm CMOS Technology 基于65nm CMOS技术的40ps低功耗两级动态比较器设计与分析

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544241

R. Ghasemi, Hossein Ghasemian, E. Abiri, M. Salehi

{"title":"Design and Analysis of a Low-Power Two-Stage Dynamic Comparator with 40ps Delay in 65nm CMOS Technology","authors":"R. Ghasemi, Hossein Ghasemian, E. Abiri, M. Salehi","doi":"10.1109/ICEE52715.2021.9544241","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544241","url":null,"abstract":"In this paper, a new structure is presented to realize a high-speed high-precision two-stage comparator. Positive feedback is employed in the first stage of the offered comparator to reduce the delay time. Furthermore, by using an NMOS transistor between the differential output nodes of each stage in the reset mode, the comparison speed is enhanced. Moreover, the second stage of the offered comparator is activated with a preset delay to improve the speed and accuracy of the comparison. Furthermore, by using intermediate transistors between the two stages of the comparator, the delay time and the comparison accuracy is also improved. The delay and offset equations of this comparator are also extracted, and the main contributors in decreasing them are recognized. The proposed circuit is simulated in 65 nm CMOS technology. The post-layout results show that the total delay and standard deviation of input-referred offset voltage of this comparator are 40 ps and 5.69 mV, respectively. This comparator consumes 395.3 μW @ 6 GHz and 38 μW @ 1 GHz with a single supply voltage of 1.2 V. Moreover, the proposed comparator occupies the area of 115.92 μm2 (12.6 μm× 9.2 μm).","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Binomial Distribution based K-means for Graph Partitioning Approach in Partially Reconfigurable Computing system 部分可重构计算系统中基于二项分布的k均值图划分方法

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544358

Zahra Asgari, Maryam Sadat Mastoori

{"title":"Binomial Distribution based K-means for Graph Partitioning Approach in Partially Reconfigurable Computing system","authors":"Zahra Asgari, Maryam Sadat Mastoori","doi":"10.1109/ICEE52715.2021.9544358","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544358","url":null,"abstract":"Graph partitioning algorithms have been utilized to execute complex applications, where there is no enough space to run the whole application once, like in limited reconfigurable computing resources. If we have found an “optimal” clustering of a data set, it can be proved that optimal partitioning can be achieved. K-means based algorithms are widely used to partition subjects where there is no information about the number of clusters. A vital issue in the mentioned method is how to define a good centroid, which has the principal role in “good” clustering. In this paper, we introduced a new way to determine purposive centroids, based on Binomial Distribution to reduce the risk of randomly seeds selection, Elbow Diagram to achieve the optimum number of clusters, and finally, Bin Packing to classify nodes in defined clusters with considering Utilization Factor (UF) due to the limited area of Run Space. The proposed algorithm, called Binomial Distribution based K-means (BDK), is compared with common graph partitioning algorithms like Simulated Annealing Algorithm (SA), Density K-means (DK), and a link elimination partitioning with different scenarios such as simple and complex applications. The concluding results show that the proposed algorithm decreases the error of partitioning by 24% compared to the other clustering techniques. On the other hand, the Quality Factor (QF) is increased 41% in this way. Execution Time (EX.T) to achieve the required number of clusters is reduced significantly.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134021600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

One-Way Edge Modes Induced by Synthetic Magnetic Field in Time-Varying LC Circuit 时变LC电路中合成磁场诱导的单向边模

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544271

Sadeq Bahmani, A. Askarpour

引用次数: 1