2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)最新文献_第8页

Design of a peripheral interface controller based MPPT charge controller 基于MPPT充电控制器的外设接口控制器设计

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879638

M. Rokonuzzaman, Mohammad Hossam-E-Haider

引用次数: 2

Stability improvement of simultaneous AC-DC power transmission system 交直流同步输电系统的稳定性改进

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879613

M. Rahman, M. Sheikh, Md. Alimul Islam Salim

引用次数: 2

Detecting real time object along with the moving direction for visually impaired people 视障人士实时检测物体运动方向

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879628

Aniqua Nusrat Zereen, Sonia Corraya

{"title":"Detecting real time object along with the moving direction for visually impaired people","authors":"Aniqua Nusrat Zereen, Sonia Corraya","doi":"10.1109/ICECTE.2016.7879628","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879628","url":null,"abstract":"Detection of real time moving object along with the moving direction in respect with visually impaired people is a challenging research area. The recent advancement in technology for real world scene capturing and portable devices like Microsoft Kinect necessitate the need of simple, reliable and faster technique for assisting blind navigation. This paper aims to develop a suitable and effective technique for moving object detection along with its moving direction in indoor environment. Depth information of the front scene of a blind people is captured using Microsoft Kinect. Three consecutive depth frames are extracted from video taken in one second and Distance along Line Profile graph is generated for four predefined lines of each depth frame. These line profile graphs are then analyzed for detecting any presence of moving object and its moving direction. After detail investigation, experimental result shows that the proposed method can successfully detect moving object along with its direction with 92% accuracy and still objects detection accuracy rate is 87%. The overall accuracy of the proposed method is 90%.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"7 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90593344","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

Numerical simulation for the high efficiency p-n Si solar cell with HT-EBL and ET-HBL HT-EBL和ET-HBL高效p-n - Si太阳能电池的数值模拟

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879563

A. Amin, M. F. Hossain

引用次数: 0

Linear pocket profile based pinch-off voltage model for nano scale n-MOSFET 基于线性口袋轮廓的纳米n-MOSFET断极电压模型

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879624

Prof. Dr. Engr. Muhibul Haque Bhuyan, Q. Khosru

引用次数: 1

Design and implementation of amphibious smart rescue robot 水陆两栖智能救援机器人的设计与实现

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879632

Md Norozzaman Jiko, Mahmudul Hasan Shayket, A. G. Bhuiyan, G. Rabby

引用次数: 3

Synchronization of different frequency power grids by back-to-back modular multilevel converter with CSMC-SPWM algorithm 采用CSMC-SPWM算法实现背靠背模块化多电平变换器同步不同频率电网

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-12-01 DOI: 10.1109/ICECTE.2016.7879564

M. Alim, M. A. Khan, M. A. Munjer

引用次数: 2

Optical character recognition using back propagation neural network 基于反向传播神经网络的光学字符识别

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-07-19 DOI: 10.1109/ICECTE.2016.7879615

Shyla Afroge, Boshir Ahmed, F. Mahmud

{"title":"Optical character recognition using back propagation neural network","authors":"Shyla Afroge, Boshir Ahmed, F. Mahmud","doi":"10.1109/ICECTE.2016.7879615","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879615","url":null,"abstract":"This paper represents an Artificial Neural Network based approach for the recognition of English characters using feed forward neural network. Noise has been considered as one of the major issue that degrades the performance of character recognition system. Our feed forward network has one input, one hidden and one output layer. The entire recognition system is divided into two sections such as training and recognition section. Both sections include image acquisition, preprocessing and feature extraction. Training and recognition section also include training of the classifier and simulation of the classifier respectively. Preprocessing involves digitization, noise removal, binarization, line segmentation and character extraction. After character extraction, the extracted character matrix is normalized into 12×8 matrix. Then features are extracted from the normalized image matrix which is fed to the network. The network consists of 96 input neurons and 62 output neurons. We train our network by proposed training algorithm in a supervised manner and establish the network. Eventually, we have tested our trained network with more than 10 samples per character and gives 99% accuracy for numeric digits (0∼9), 97% accuracy for capital letters (A∼Z), 96% accuracy for small letters (a∼z) and 93% accuracy for alphanumeric characters by considering inter-class similarity measurement.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"18 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73860108","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: 35

Guiding properties of a hybrid core porous fiber (HCPF) for terahertz wave propagation 杂化芯孔光纤(HCPF)对太赫兹波传播的导引特性

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2016-01-01 DOI: 10.1109/icecte.2016.7879603

引用次数: 0

Fast DOA Estimation of Coherent Signals without Knowing the Number of Sources 不知道源数的相干信号的快速DOA估计

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Pub Date : 2011-01-01 DOI: 10.1115/1.859810.paper27

Zeng Yao-ping

引用次数: 0