2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)最新文献_第10页

Analysis and Detection of Malware in Android Applications Using Machine Learning 利用机器学习分析和检测Android应用程序中的恶意软件

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679493

Umme Sumaya Jannat, Syed Md. Hasnayeen, Mirza Kamrul Bashar Shuhan, M. Ferdous

引用次数: 12

Performance Analysis of a PMBLDC Motor Drive based on ANFIS Controller and PI Controller 基于ANFIS控制器和PI控制器的PMBLDC电机驱动性能分析

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679434

Md. Belal Hossen, B. C. Ghosh

{"title":"Performance Analysis of a PMBLDC Motor Drive based on ANFIS Controller and PI Controller","authors":"Md. Belal Hossen, B. C. Ghosh","doi":"10.1109/ECACE.2019.8679434","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679434","url":null,"abstract":"Adaptive Neuro-Fuzzy Inference System (ANFIS) is an interesting choice of research that is a combination of two soft-computing methods of Artificial Neural Network (ANN) and Fuzzy Logic. This paper designs and describes a control system based on Adaptive Neuro-Fuzzy Inference System for Permanent Magnet Brushless DC (PMBLDC) Motor Drive. It is observed that PMBLDC motor is complex to handle for their multi-variable and nonlinear system. The motor speed and torque control are frequently needed for controlling various drives such as robotics, copter, electric vehicles and similar other drives applications. But it is complicated to control by using conventional PI controller and tuning is necessary to achieve desired performance. In order to overcome these problems, the ANFIS based controller is proposed and developed. The PI controller is also designed and tuned by Ziegler- Nichols method. The drive performance is tested under different operating conditions such as starting condition, sudden load torque changes, speed variation and parameter changes in C++ simulation environment. The results of ANFIS controller are compared with those obtained through PI controller.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"08 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":"130866515","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: 6

Effect of the electron blocking layer in dual-wavelength emission of InGaN/GaN MQW light-emitting diodes 电子阻挡层对InGaN/GaN MQW发光二极管双波长发射的影响

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679171

Md. Rakibul Hasan Rifat, M. Islam, M. R. Kaysir, Md. Sakib Hasan Khan

{"title":"Effect of the electron blocking layer in dual-wavelength emission of InGaN/GaN MQW light-emitting diodes","authors":"Md. Rakibul Hasan Rifat, M. Islam, M. R. Kaysir, Md. Sakib Hasan Khan","doi":"10.1109/ECACE.2019.8679171","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679171","url":null,"abstract":"‘III-nitride’ semiconductor based light emitting diodes (LEDs) have completely transformed the lighting industry due to its unique optical and electrical properties, which leads to higher efficiency and brightness. However, electron leakages, poor hole injection, and efficiency droop significantly affect the electrical and optical properties of InGaN/GaN LEDs that leads to the poor power conversion efficiency. These problems can be effectively minimized by introducing an Electron Blocking Layer (EBL) in conventional LEDs. The objective of this work is to investigate the effect of EBL layer (i.e., AlxGal-xN) on dual wavelength InGaN/GaN LEDs with different Al compositions (x). Different compositions of AlxGal-xN have been used to study the electrical and optical properties of LEDs and find out their optimal design parameters by using APSYS simulation program. The simulation results suggested that the composition of Al of the EBL and properties of quantum well has significant effects on the optical and electrical properties of InGaN/GaN LEDs. The gradually increasing composition (from $x$ = 0 to 0.13) of the EBL shows large output power from the LED as it significantly reduces the electrons leakages of the device.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"22 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":"132229820","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

Zebra-Crossing Detection and Recognition Based on Flood Fill Operation and Uniform Local Binary Pattern 基于洪水填充运算和均匀局部二值模式的斑马交叉检测与识别

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679453

Mahinul Islam Meem, P. K. Dhar, Md. Khaliluzzaman, T. Shimamura

{"title":"Zebra-Crossing Detection and Recognition Based on Flood Fill Operation and Uniform Local Binary Pattern","authors":"Mahinul Islam Meem, P. K. Dhar, Md. Khaliluzzaman, T. Shimamura","doi":"10.1109/ECACE.2019.8679453","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679453","url":null,"abstract":"Detection of zebra-crossing region from an image is an important and demanding task to support visually impaired people to navigate the street crossing safely in the exterior environments. In this paper, a zebra crossing detection and recognition method is presented where the crossing region is detected by employing the image processing techniques such as adaptive histogram equalization, flood fill operation, and Hough transforms and is recognized through the uniform local binary pattern with support vector machine (SVM) classifier. For that, the contrast and sharpness of the zebra crossing image is improved by the adaptive histogram equalization if the image's intensity value is less than an empirical threshold value. After that, the preprocessed zebra-crossing image is converted to the binary image by using the Otsu's method. Furthermore, the morphological and flood fill operations are applied to the binary image to extract the largest candidate object. The edges of the largest candidate object are detected by utilizing the canny operator. From the edges, the potential longest horizontal edges are estimated by eliminating the vertical edges using four connected method and filtering the small edges using statistical threshold procedure. Finally, the potential parallel horizontal edges are justified as zebra-crossing edge lines by drawing the Hough lines and detect the zebra-crossing region of interest (ROI). Then, the SVM classifier is applied to the detected ROI region to recognize the zebra-crossing region where, rotational invariant uniform local binary pattern is utilized to extract the features of candidate region. The results of the simulation show that the proposed method effectively detects and recognizes zebra crossing regions from various zebra-crossing images. Moreover, it shows superior performance than the state-of-the art methods in terms of recognition.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"60 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":"132415290","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

A Comparison between HTML5 and OpenGL in Rendering Fractal HTML5和OpenGL在分形渲染中的比较

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679427

Mehbuba Zerin Khan, M. Hashem

{"title":"A Comparison between HTML5 and OpenGL in Rendering Fractal","authors":"Mehbuba Zerin Khan, M. Hashem","doi":"10.1109/ECACE.2019.8679427","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679427","url":null,"abstract":"This is the era of web applications as for each desktop application, there is a corresponding web application being developed. Each web application consists of interactive graphical user interface and some of them requires in-browser rendering. In this period, it's high time to study the abilities of modern day web applications on handling graphical operations. As both HTML5 and OpenGL are strong tools for graphical operation and both depicts rendering capabilities on different platforms, in this paper, they have been compared thoroughly. To measure the effectiveness and compare the results from HTML5 and OpenGL, Fractals are considered to be drawn on web platform and on desktop graphical program. In this paper, A simple HTML5 web page is implemented along with a C++ based command line program is also implemented to render fractal trees. HTML5 and OpenGL both performed significantly well in case of rendering fractal trees where HTML5 fell a little bit short in case of rendering time in case of large number of iterations. As the number of iteration increased rapidly, the rendering time required by the HTML5 increased but it performed on par with OpenGL in rendering quality.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"11 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":"133642495","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

Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents In Bangladesh Applying Regression Techniques 应用回归技术探讨孟加拉青少年职业决策困难的显著家庭收入范围

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679415

Md. Shahriare Satu, S. Ahamed, Asive Chowdhury, Md. Whaiduzzaman

{"title":"Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents In Bangladesh Applying Regression Techniques","authors":"Md. Shahriare Satu, S. Ahamed, Asive Chowdhury, Md. Whaiduzzaman","doi":"10.1109/ECACE.2019.8679415","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679415","url":null,"abstract":"Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in Bangladesh. The goal of this work to explore the most affected class of adolescents about career decision difficulties considering family income ranges in Bangladesh. In this situation, we gathered several records of high school going adolescents at Faridganj, Chandpur, Bangladesh using career decision difficulties questionnaire which was proposed by I. Gati et. al. Hence, several regression algorithms were considered for experimental analysis based on the characteristics of our primary career decision difficulties dataset. After that, these algorithms were applied into career decision difficulties dataset of adolescents and explored the best regression algorithm based on experimental results from them. Then, our selected best algorithm was implemented throughout different datasets (split from primary dataset) and interpreted their findings. Finally, we observed that middle level family income ranges (10000–21000 BDT) of adolescents were faced more difficulties to take proper decision about career than others. This analysis is suggested as a complementary tool for further psychological treatment about career decisions.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"2 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114110927","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

An Investigation on DC Motor Braking System by Implementing Electromagnetic Relay and Timer 采用电磁继电器和定时器的直流电机制动系统研究

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679225

Fahim Faisal, M. M. Nishat, Md. Rasel Mia

引用次数: 9

Sentiment Analysis Using Out of Core Learning 基于非核心学习的情感分析

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679298

Mahmudul Hasan, Ishrak Islam, K. Hasan

{"title":"Sentiment Analysis Using Out of Core Learning","authors":"Mahmudul Hasan, Ishrak Islam, K. Hasan","doi":"10.1109/ECACE.2019.8679298","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679298","url":null,"abstract":"Text sentiment detection for a particular language other than English is one of the challenging tasks presently. The reasons are; it needs a large dataset, language has no specific structure, one word has a different meaning, and it is hard for even human to understand the connotation of particular words. There exists several proposed architecture for detecting emotions in the Bengali language using machine learning and deep learning approaches, but they are not accurate enough to predict the perfect emotion of the sentence. And there is still no standalone architecture is available that can extract the sentiments hidden inside of a sentence in different languages. In this paper, we are proposing an abstract model that can enable sentiment analysis without any restriction of using a fixed language somewhat applicable to any language. With the use of natural language processing, we have extracted the features, and these features are then fed to different machine learning models for classification. As our main concern was to build up a general model, this model is confined to binary classification, i.e., positive and negative. Apart from this, In our system architecture, we have implemented stochastic gradient descent for optimization. So our model can be called out of core learning model where the model can be updated when new user data is inserted without training the whole model. For the evaluation of the performance of our model, we have trained the estimators against Bangla translated IMDB review dataset and calculated different evaluation metrics for our estimators. The dataset is translated into Bangla using google translator.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"48 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":"116481751","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: 9

Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks 利用长短期记忆网络进行小时精度的电力负荷预测

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679244

Hasan-Al-Shaikh, Md. Asifur Rahman, A. Zubair

{"title":"Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks","authors":"Hasan-Al-Shaikh, Md. Asifur Rahman, A. Zubair","doi":"10.1109/ECACE.2019.8679244","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679244","url":null,"abstract":"Electric load forecasting is of foremost importance to plan for the future power generation and consumption of any country. To meet increasing demand and keep up with the growing economy, it is becoming increasingly challenging for the government of Bangladesh to operate and perform maintenance on its power system. Bangladesh Power System (BPS) has been operated primarily based on a trial and error method of load forecasting. In this paper, we propose an approach for the short term electric load forecasting by employing a recurrent neural network (RNN) architecture called Long Short-Term Memory (LSTM). Using this proposed approach, we forecast the electric load of one hour ahead with minimal error. Before a time series is fed into artificial neural networks (ANN), it must be devoid of seasonality and trend to get acceptable predictions. This is especially true for load demand of Bangladesh which shows sharp periodical peaks as well as a general trend of yearly increase. Therefore, we present a method of applying LSTM with data construction method to remove seasonality and trend from load time series of BPS for hourly electric load forecasting.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"33 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":"116519105","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: 10

A New Hybrid Intelligent GAACO Algorithm for Automatic Image Segmentation and Plant Leaf or Fruit Diseases Identification Using TSVM Classifier 基于TSVM分类器的植物叶片或果实病害自动图像分割与识别的混合智能GAACO算法

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2019-02-01 DOI: 10.1109/ECACE.2019.8679219

Md. Humayan Ahmed, Tajul Islam, Romana Rahman Ema

{"title":"A New Hybrid Intelligent GAACO Algorithm for Automatic Image Segmentation and Plant Leaf or Fruit Diseases Identification Using TSVM Classifier","authors":"Md. Humayan Ahmed, Tajul Islam, Romana Rahman Ema","doi":"10.1109/ECACE.2019.8679219","DOIUrl":"https://doi.org/10.1109/ECACE.2019.8679219","url":null,"abstract":"The aim of image segmentation process is to divide a digital image into sets of pixels. Image segmentation can play an important role not only in image segmentation but also in plant leaf or fruit disease detection. In this paper, we propose a new hybrid intelligent algorithm (GAACO) including Genetic Algorithm (GA), Ant Colony Optimization Algorithm (ACO) and Tabu list for different types of images segmentation as well as plant leaf or fruit image segmentation and transductive support vector machine (TSVM) is used to detect diseases of plant leaf or fruit. In this process, Genetic Algorithm is used to search for most optimal cluster centers in the problem space and then the Ant Colony Optimization is employed to achieve the best solution. Tabu list is used to save the image pixels into the memory. After image segmentation, the transductive support vector machine is used in testing phase and the obtained testing samples are compared with training samples. However, plant leaf disease or fruit disease detection is done by TSVM in accordance with leaf or fruit feature extraction. The result of the proposed algorithm shows that the hybrid GAACO algorithm gives high performance with a very low computational complexity, helps to enhance segmentation accuracy and supports TSVM to find the accurate diseases.","PeriodicalId":226060,"journal":{"name":"2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"42 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":"132754196","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: 7