2021 29th Iranian Conference on Electrical Engineering (ICEE)最新文献_第2页

A New Approach to Solve MDVRP in Lower Computation Time 求解MDVRP的一种新方法

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544126

R. R. Baghbadorani, M. A. Zajkani, M. Haeri

引用次数: 0

Automatic Classification of Parkinson's Disease Using Best Parameters of Forward and Backward Walking 基于最佳行走参数的帕金森病自动分类

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544394

Atiye Riasi, Mehdi Delrobaei

{"title":"Automatic Classification of Parkinson's Disease Using Best Parameters of Forward and Backward Walking","authors":"Atiye Riasi, Mehdi Delrobaei","doi":"10.1109/ICEE52715.2021.9544394","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544394","url":null,"abstract":"This study aims to investigate the discriminative gait features of forward and backward walking to provide a combination of the most relevant parameters. These parameters would potentially help the clinicians to follow quantitative methods in diagnosing Parkinson's disease. In this paper, the statistically significant gait features were narrowed down from 46 to 30, 20, 10, and 5, using the minimal-redundancy-maximal-relevance feature selection method. The selected features were then fed to Random Forest and Support Vector Machine classifiers to evaluate the ability of features in discriminating Parkinson's disease and control groups. According to the results, we selected to use Random Forest classifier in our algorithm. Applying our algorithm on a database comprising 62 Parkinson's disease patients and 11 control participants, we achieved the average accuracy of 93.9 and 88 in 10 iterations of Random Forest and Support Vector Machine, respectively. Using the minimal-redundancy-maximal-relevance feature selection and mean decrease in accuracy and Gini index of the Random Forest classifier, we found the critical role of backward walking parameters such as the average of stance time, step length, and swing time in classification results.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"127 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":"132976646","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

Heart Abnormality Classification by Phonocardiogram Analysis Using Fusion in Feature and Decision Levels 基于特征水平和决策水平融合的心音图分析的心脏异常分类

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544221

Hossein Rahmati, H. Ghassemian, M. Imani

{"title":"Heart Abnormality Classification by Phonocardiogram Analysis Using Fusion in Feature and Decision Levels","authors":"Hossein Rahmati, H. Ghassemian, M. Imani","doi":"10.1109/ICEE52715.2021.9544221","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544221","url":null,"abstract":"Useful information about the act of the heart valves can be provided by the audio signal. This leads to a fast, inexpensive and non-invasive heart diagnosis. Due to human auscultator limitation and like of stationary of phonocardiogram signals (PCG), diagnosing through the heard sounds by a stethoscope needs a lot of experiences. Therefore, an automatic system to classify biomedical signal PCG is required. ECG signal is required to accurately segment the heart sound signal. But, acquiring ECG is generally expensive and time consuming. This study proposes a segmentation free system to classify the PCG signals. For extraction of appropriate features from the PCG signals, various methods such as non-uniform filter banks based on maximum entropy, wavelet transform (WT), Mel Frequency Cepstral Coefficient (MFCC) and fractal features are used. Features are given to three classifiers: ML (Maximum Likelihood), KNN (K-Nearest Neighbor) and SVM (Support Vector Machine). The Dempster-Shafer decision Fusion rule is utilized for final decision making. The experiments were performed on PhysioNet/Computing data sets to evaluate the performance of various methods. Sensitivity, Specificity and kappa coefficients were obtained from all six data sets. It is found that the proposed method has a better performance compared to other methods.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"35 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":"133426130","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

Study of Multiple Teeth Linear Switched and Hybrid Reluctance Motors 多齿线性开关混合磁阻电机的研究

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544222

Mohammad Amin Jalali Kondelaji, Ali Ghaffarpour, M. Mirsalim

引用次数: 2

Dual Tapering Ultra-Wideband Vivaldi Antenna 双锥形超宽带维瓦尔第天线

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544113

Mojtaba Ahadi, J. Nourinia, C. Ghobadi, R. Naderali, B. Mohammadi

引用次数: 0

Optimal Scheduling of Active Distribution Networks with High Penetration of Plug-in Electric vehicles and Renewables Using Grasshopper Optimization Algorithm 基于Grasshopper优化算法的插电式电动汽车和可再生能源高渗透率有源配电网优化调度

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544472

Seyyed Hadi Mousavi, Varahram Janatifar, A. Abdolahi, M. Sarhangzadeh

{"title":"Optimal Scheduling of Active Distribution Networks with High Penetration of Plug-in Electric vehicles and Renewables Using Grasshopper Optimization Algorithm","authors":"Seyyed Hadi Mousavi, Varahram Janatifar, A. Abdolahi, M. Sarhangzadeh","doi":"10.1109/ICEE52715.2021.9544472","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544472","url":null,"abstract":"With the development use of the plug-in hybrid electric vehicles (PHEV) as small moving power plants, energy management of these types of power plants requires more researches. So, the charging and discharging capability of PHEVs can be used in active distribution networks (ADN). This paper suggests an optimal approach for charging and discharging scheduling of PEVs in the ADNs to minimize the operating costs of system. The influence of PEVs on the operating costs and some technical characteristics of system like power losses and voltage profile has been investigated under PEVs limits, distributed generation units. In this work, the grasshopper optimization algorithm (GOA) is applied to solve this complicated mixed-integer non-linear programming problem with the goal of minimizing the operating costs of the system and find the optimal solutions. In the end, an illustrative case study is provided to acknowledge the sufficiency and proficiency of the presented model by implementing it on the modified IEEE 69-bus system.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"9 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":"129858681","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: 2

A Method Based on Attention Mechanism using Bidirectional Long-Short Term Memory(BLSTM) for Question Answering 基于注意机制的双向长短期记忆问答方法

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544258

Seyed Vahid Moravvej, M. J. M. Kahaki, M. S. Sartakhti, Abdolreza Mirzaei

引用次数: 17

Design, MA TLAB Simulation, and Implementation of a Single Inductor Double Output DC-to-DC Converter with Digital Control 带数字控制的单电感双输出dc - dc转换器的设计、MA - TLAB仿真与实现

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544288

Arya Hosseini, Amin Siahchehreh Badeli, S. Sheikhaei

{"title":"Design, MA TLAB Simulation, and Implementation of a Single Inductor Double Output DC-to-DC Converter with Digital Control","authors":"Arya Hosseini, Amin Siahchehreh Badeli, S. Sheikhaei","doi":"10.1109/ICEE52715.2021.9544288","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544288","url":null,"abstract":"A single-inductor multiple-output (SIMO) converter with constant frequency auto-buck-boost feature is presented in this paper. This converter can supply more than one output. Some applications of this converter include their use in mobile phones and medical devices that require different voltages. This paper deals with a single-inductor dual-output (SIDO) converter for simplicity, which can be generalized to multiple outputs. Here, according to the mode in which the converter works and the maximum load current, which is about 1 rnA, the outputs work completely independent, which means changing the load in one output does not affect the other output. The converter operates in discontinuous conduction mode (DCM), and the time-multiplexing control (TMC) method and pulse width modulation (PWM) are used in its controller. An analog to digital converter (ADC) is used to monitor the output voltage. The switching frequency in this converter is 5 kHz, and due to the possibility of changing the load at the output, the optimal duty cycle value for each output channel is set by the measured voltage. In this paper, the goal is to generate stable voltage and reduce cross regulations to the minimum possible value or even to zero and consider regular timing for switches by the controller.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"70 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":"125686125","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: 2

Selenium Doped Hafnium Disulfide Alloy for Visible Photodetection 硒掺杂二硫化铪合金的可见光探测

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544174

Mohammadreza Razeghizadeh, Mohsen Mazaherifar, M. Pourfath

引用次数: 0

Multi-Machine Traction Drive Based on Parallel Connected Synchronous Machines 基于并联同步电机的多机牵引传动

2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544272

H. M. Pirouz

引用次数: 0