2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)最新文献_第10页

Performance Analysis of Underwater Wireless Optical CDMA System 水下无线光CDMA系统性能分析

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628150

Mir Mehedi Al Hammadi, Md. Jahedul Islam

引用次数: 5

Human Facial Expression Recognition System Using Artificial Neural Network Classification of Gabor Feature Based Facial Expression Information 基于Gabor特征的人脸表情信息人工神经网络分类识别系统

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628050

Bayezid Islam, F. Mahmud, A. Hossain, Md. Sumon Mia, Pushpen Bikash Goala

{"title":"Human Facial Expression Recognition System Using Artificial Neural Network Classification of Gabor Feature Based Facial Expression Information","authors":"Bayezid Islam, F. Mahmud, A. Hossain, Md. Sumon Mia, Pushpen Bikash Goala","doi":"10.1109/CEEICT.2018.8628050","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628050","url":null,"abstract":"Facial expressions contribute highly in conveying the feelings of a person. An emotion recognition system through facial expression recognition is proposed in this paper. Preprocessed input images are segmented into four facial expression regions by following the proposed highly effective image segmentation method. 2D Gabor filter with different frequencies and orientations are used to extract features from the segmented parts. Reduction of the dimension of the extracted features is done using downsampling and Principal Component Analysis (PCA). Classification of the features is done using the artificial neural network (multilayer perceptrons with backpropagation). To evaluate the performance of the proposed method three widely used facial expression datasets (JAFFE, CK+, RaFD) are used. Performance on these datasets by the proposed method is compared with the performance on these datasets by other methods to indicate that state-of-the-art performance is achieved by the proposed method.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159032","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

Solar-Biomass Hybrid System, an Approach for Rural Electrifiation in Bangladesh 太阳能-生物质混合系统，孟加拉国农村电气化的一种方法

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628102

K. M. Ahsan-uz-Zaman, A. Wahed, A. S. M. Sayam, O. Faruk, B. C. Sarker

引用次数: 3

Design and Performance Analysis of a D–shaped PCF and Surface Plasmon Resonance Based Glucose Sensor 基于d形PCF和表面等离子体共振的葡萄糖传感器的设计与性能分析

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628080

Md. Ekhlasur Rahaman, Rekha Saha, Md. Shamim Ahsan, I. Sohn

引用次数: 10

Design and Implementation of a Wireless Health Monitoring System for Remotely Located Patients 远程病人无线健康监测系统的设计与实现

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628077

Shubha Majumder, Muhammad Asad Rahman, Md. Sajedul Islam, Diponkar Ghosh

{"title":"Design and Implementation of a Wireless Health Monitoring System for Remotely Located Patients","authors":"Shubha Majumder, Muhammad Asad Rahman, Md. Sajedul Islam, Diponkar Ghosh","doi":"10.1109/CEEICT.2018.8628077","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628077","url":null,"abstract":"Remote health monitoring is regarded as a hot topic in the arena of research. Though the number of aged people is increasing, it is irrefutable that the need of a disperse medical care system providing remote monitoring intending to reduce the escalating healthcare expenditure is very urgent. Moreover, World Health organization reported, in Bangladesh, about 17% of deaths are caused by cardiovascular diseases. Continual health monitoring and rapid detection can save up to 60% of lives. For these reasons, a wireless, wearable, low cost and automatic health monitoring system is a suitable solution. The implemented project described in this paper is a user- friendly, wearable and continuous monitoring system of blood pressure, heart rate, and body temperature, which can communicate with requested Android devices through Bluetooth. The system mainly consists of IR transmitter, receiver, LM-35, MPXV 5050GP, the data acquisition unit, microcontroller (i.e., Arduino) and Bluetooth. Bluetooth is used for its better transmission rate than ZigBee and cost-efficiency than GSM. In addition, all the measured readings and communications are password protected. A free and user- friendly Android application is attributed to demonstrate the readings. The proposed system has been field tested to ensure dependability and exactitude. The test results showed that this system could measure the patient‘s physiological data with high accuracy. The system can be easily segregated from the previous works for its maximum number of data collection, real-time monitoring, security issues and cost-effectiveness.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114809413","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: 12

Comparative Analysis of Supercontinuum Generation in Hexagonal Lattice PCFs with Different Core Materials 不同芯材六方点阵聚氯乙烯超连续谱生成的比较分析

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628047

Z. Alam, Pavel Hossain, A. Islam, M. Shah Alam

引用次数: 0

Performance Analysis of Uniform Concentric Circular Antenna Array Beamformer Using Different DOA Estimation Technique 采用不同DOA估计技术的均匀同心圆天线阵列波束形成器性能分析

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628058

Pallab Kumar Sarkar, M. Reza

引用次数: 7

A Novel Idea of Classification of E-commerce Products Using Deep Convolutional Neural Network 一种基于深度卷积神经网络的电子商务产品分类新思路

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628161

Chowdhury Sajadul Islam, M. Alauddin

{"title":"A Novel Idea of Classification of E-commerce Products Using Deep Convolutional Neural Network","authors":"Chowdhury Sajadul Islam, M. Alauddin","doi":"10.1109/CEEICT.2018.8628161","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628161","url":null,"abstract":"The high numbers of non-food products and categories on today E-commerce sites render validation of the data as labor intensive and expensive task. Therefore, there is a recent push to automate validation of correct placement of product in category. The French E-commerce company CDiscount has launched Kaggle competition, sharing huge dataset of over 7 million products, to solve the very problem. The goal is to classify products containing multiple images into one of 5270 categories. This paper proposes, implements and experimentally evaluates deep neural network architecture for classification of non-food E-commerce products. To tackle the complexity of the task on available hardware, hierarchical architecture of neural networks that exploits existing category taxonomy is proposed. The hierarchical architecture achieved the Top-1 accuracy of 0.61061. It has been found, that specific networks in hierarchical architecture can be successfully transferred onto similar datasets, by transferring network that learned on books onto different book dataset. The transferred model performed better than the same model pre-trained on ImageNet dataset.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601727","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

Design of a Low-cost Automated Cardiopulmonary Resuscitation Device with Piston-Driven Chest Compression System 一种低成本活塞驱动的自动心肺复苏装置的设计

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628060

M. Alam, Mahamud Hussain, M. A. Amin, Mohammad Monirujjaman Khan

引用次数: 1

Spectroscopic Characterization of Biological Tissue using Quantitative Acoustics Technique 利用定量声学技术对生物组织进行光谱表征

2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Pub Date : 2018-09-01 DOI: 10.1109/CEEICT.2018.8628146

Fahim Faisal, M. M. Nishat, Mohammad Abdul Moin Oninda

{"title":"Spectroscopic Characterization of Biological Tissue using Quantitative Acoustics Technique","authors":"Fahim Faisal, M. M. Nishat, Mohammad Abdul Moin Oninda","doi":"10.1109/CEEICT.2018.8628146","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628146","url":null,"abstract":"This paper presents a new technique for imaging spectroscopic characterization of different biological tissues using Quantitative Acoustics Technique (QAT). This colorimetric study is imposed on different biological tissues like onion, human skin etc. where images are taken by a digital camera. The method is based on the hypothesis that the color spectrums and relative intensities differ for directly transmitted light and light scattered at an angle which give the tissue characteristics. In order to attain that an indigenous device is designed to pass a collimated beam of light from a white LED through a slide containing the tissue. The values for intensities of the primary colors Red, Green and Blue in the region of the tissues are extracted from the image for both positions. An analysis of these color and intensity values provides information on the morphological structure of the tissue and their optical characteristics. For preliminary testing of the system, some non-biological material (like filtered paper) is used. Scattering prospect of red is higher in color and rubbed filter while in jelly blue is scattered most. This result is compatible with the theoretical perspective.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114851395","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: 11