2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)最新文献_第9页

On Multi-view Interpretation of Convolutional Neural Networks 卷积神经网络的多视图解释

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734980

H. Khastavaneh, H. Ebrahimpour-Komleh

引用次数: 1

Movie Recommender System Based on Percentage of View 基于观看百分比的电影推荐系统

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734976

Ramin Ebrahim Nakhli, Hadi Moradi, Mohammad Sadeghi

引用次数: 19

A Painting Artist Recognition System Based on Image Processing and Hierarchical SVM 基于图像处理和分层支持向量机的画家识别系统

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734911

M. M. AlyanNezhadi, Hossein Dabbaghan, Samira Moghani, M. Forghani

{"title":"A Painting Artist Recognition System Based on Image Processing and Hierarchical SVM","authors":"M. M. AlyanNezhadi, Hossein Dabbaghan, Samira Moghani, M. Forghani","doi":"10.1109/KBEI.2019.8734911","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734911","url":null,"abstract":"Over the past years, forgery paintings of famous artists have been sold as original. In order to spot the fake painting, the experts make the decision based on personal experience and with the help of examining some characteristics of the painting and painter. Applying the image processing methods to artwork can reduce the need of the expert and provide quick and reliable results to recognize the originality of the artwork. In this paper, the proposed method is able to identify the painter of artwork using image processing and data mining techniques. The method consists of two typical main stages, feature extraction, and classification. In the feature extraction, 11 statistical features are extracted from each image. These features have been selected in such a way that maximize the distinction of painters. In the second step, the painters are identified by hierarchical classification. In order to evaluate the performance of proposed method, it has applied to a collection of 348 paintings from eight Iranian artists. The method has been able to identify the artwork painter with the accuracy about 84.21%.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123625305","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: 3

Improvement of the Recognition of Relationships in Social Networks Using Complementary Graph Coloring Based on Cellular Automata 基于元胞自动机的互补图着色改进社交网络中关系识别

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735081

M. Kashani, S. Gorgin, S. V. Shojaedini

引用次数: 2

A THz Polarization Conversion Based on Sinusoidal Cross Pattern with Wide Angular Response 基于宽角响应正弦交叉图样的太赫兹偏振转换

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735039

M. Karamirad, C. Ghobadi, J. Nourinia, Bahman Mohamamdi

引用次数: 0

A Simplified Approach for Estimating Junction Temperature of IGBT Modules Considering Variable Thermal RCs 考虑变热rc的IGBT模块结温估计的简化方法

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734945

Omid Alavi, S. Ahmadi, Abbas Hooshmand Viki

{"title":"A Simplified Approach for Estimating Junction Temperature of IGBT Modules Considering Variable Thermal RCs","authors":"Omid Alavi, S. Ahmadi, Abbas Hooshmand Viki","doi":"10.1109/KBEI.2019.8734945","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734945","url":null,"abstract":"Over the past decades, power electronic circuits have been widely used in various equipment and industry sectors. Due to this widespread use, there is a lot of interest in understanding how to improve the lifespan of these circuits. Therefore, power modules have been evaluated as the most failure-prone component in these converters, and what is the most important in these components is the thermal management. In this paper, a simple method for determining the junction temperature of an IGBT module, taking into account the effects of operating temperature on the physical characteristics and behavior of the materials used within the module, is proposed. A resistance-capacitance (RC) thermal model is usually used to estimate the temperature, but the main drawback of the conventional model is that the values of the RC parameters are considered constant. In fact, thermal conductivity and specific heat capacity will change with temperature fluctuations. The proposed approach was implemented in the MATLAB environment by using a recursive loop, which modifies the RC values according to the prior temperature. The results showed that in the case study, the estimated junction temperature with variable RCs is 11.25% higher than the model with the fixed RC values.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377484","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

An Overview of Face Detection Methods in Angular Positions 角位置人脸检测方法综述

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734955

Seyyed Mohammad Reza Hashemi, H. Hassanpour, Ehsan Kozegar

{"title":"An Overview of Face Detection Methods in Angular Positions","authors":"Seyyed Mohammad Reza Hashemi, H. Hassanpour, Ehsan Kozegar","doi":"10.1109/KBEI.2019.8734955","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734955","url":null,"abstract":"Today, face detection is of paramount importance due to its wide range of benefits and applications. Results of studies in this field have led to obtaining methods for face detection. In each of these methods, two factors of accuracy and runtime are important. The necessity of using accurate and quick methods has led to more studies in this regard. In face images, the individual’s face is not always directed toward the camera. Therefore, one of the important challenges in face detection is the correct detection when the angle of the image to the camera is not in the same direction and there are differences in the degree measure of the image angle, compared to the main image. The main issue in face detection, which has always been considered an important concept, is achieving the desired result based on the needs of security departments and scientific organizations. The present study aimed to evaluate the face detection methods in angular positions. In addition, one of the objectives of the research was assessing the advantages and disadvantages of each technique. In the end, the evaluated methods were compared on databases of ORL, ORL, and ORL in terms of accuracy of face detection. According to the results, the PCA+LDA+GABOR was the most efficient method due to special attention to viewing angles in different images that can result in high detection accuracy, compared to other methods.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117089658","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: 1

Optimal DG and capacitor allocation along with network reconfiguration using Swarm robotics search & rescue algorithm 利用群机器人搜索和救援算法优化DG和电容器分配及网络重构

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734909

M. Bakhshipour, E. Rokrok, F. Namdari, M. Sedaghat

{"title":"Optimal DG and capacitor allocation along with network reconfiguration using Swarm robotics search & rescue algorithm","authors":"M. Bakhshipour, E. Rokrok, F. Namdari, M. Sedaghat","doi":"10.1109/KBEI.2019.8734909","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734909","url":null,"abstract":"In this paper, a multi objective optimization method based on the swarm robotics search and rescue (SRSR) algorithm is provided to simultaneously determination of optimal capacity and location of DG units and capacitor banks along with network reconfiguration in the distribution system. Also the load uncertainty is considered in the proposed investigation based on triangular fuzzy method. The objective function considers six performance indexes including active losses, reactive losses, voltage deviation, voltage stability index, section loadability and index of balancing current of sections. Each of these indicators is weighed based on their importance and their composition forms in the objective function of the optimization problem. The proposed method has been studied and evaluated on IEEE 33 bus system, also the convergence and efficiency of the proposed SRSR approach is compared with two well-known genetic (GA) and cuckoo search (CS) algorithms. The obtained simulation results indicate the capability of the presented SRSR algorithm in determining the optimal capacity and location of the DG sources and capacitor banks in different operating conditions, and illuminate the improvement of system performance indexes, especially the reduction of active losses in the network.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121348602","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: 1

Robust Distributed Resource Aggregation Control in Smart Grid based on a Novel Hierarchical Consensus 基于新型层次共识的智能电网鲁棒分布式资源聚合控制

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735083

A. Ghaznavi, S. Almodarresi

引用次数: 0

Twins’ biometric fusion and introducing a new dataset 双胞胎的生物特征融合和引入一个新的数据集

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735018

Mahta Hassan pour Zonoozi, Donya Afshar Jahanshahi, Ali Mollaahmadi Dehaqi

引用次数: 4