2016 19th International Conference on Computer and Information Technology (ICCIT)最新文献_第2页

Multi band negative index metamaterial based on split square shape resonators 基于分裂方形谐振腔的多波段负射率超材料

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860176

M. Hasan, M. Faruque, Md. Moinul Islam, Mohammad Tausiful Islam

引用次数: 4

Optimization of ethernet ring protection switching for adaptive modulation in carrier access network 载波接入网中自适应调制的以太网环保护交换优化

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860161

A. S. M. Asadujjaman, M. S. Alam, Shafika Showkat Moni

引用次数: 0

A consideration of towering scheme for efficient arithmetic operation over extension field of degree 18 18次可拓域上高效算术运算的高耸格式的考虑

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860209

Md. Al-Amin Khandaker, Y. Nogami

引用次数: 1

Performance analysis of supervised machine learning algorithms for text classification 文本分类中监督式机器学习算法的性能分析

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860233

Sadia Zaman Mishu, S M Rafiuddin

引用次数: 28

Accuracy analysis of recommendation system using singular value decomposition 基于奇异值分解的推荐系统精度分析

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860232

Naznin Akter, A. S. Hoque, Rashed Mustafa, M. S. Chowdhury

引用次数: 8

Supervised approach of sentimentality extraction from bengali facebook status 从孟加拉人facebook状态中提取情感的监督方法

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860228

Md Saiful Islam, M. Islam, M. A. Hossain, Jagoth Jyoti Dey

{"title":"Supervised approach of sentimentality extraction from bengali facebook status","authors":"Md Saiful Islam, M. Islam, M. A. Hossain, Jagoth Jyoti Dey","doi":"10.1109/ICCITECHN.2016.7860228","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860228","url":null,"abstract":"Sentiment is the only things that separate human and machine. To simulate the feelings for machines many researchers have been trying to create method and automated the process to extract opinion of particular news, product or life entity. Sentiment Analysis (SA) is a combination of opinions, emotions and subjectivity of a text. Currently SA is the most demanding task in Natural Language Processing. Social networking site like Facebook are mostly used in expressing the opinions about a particular entity of life. Newspaper published news about a particular event and user expressed their feedback in news comments. Online product feedback is increasing day by day. So reviews and opinions mining play a very important role in understanding people satisfactions. Such opinion mining has potential for knowledge discovery. The main target of SA is to find opinions from text extract sentiments from them and define their polarity, i.e positive or negative. In this domain most of the model was designed for English Language. This paper describes a novel approach using Naive Bayes classification model for Bengali Language. Here a supervised classification method is used with language rules for detecting sentiment for Bengali Facebook Status.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865010","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: 39

A compact slotted patch antenna for ultrawideband application 用于超宽带应用的紧凑型开槽贴片天线

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860171

M. T. Islam, M. Samsuzzaman, M. Z. Mahmud, M.T. Islam

引用次数: 2

A modified anti-magic graph labeling for middle graph and total graph related to path 与路径相关的中间图和总图的修正反魔法图标注

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860220

Zareen Tasneem, Farissa Tafannum, Maksuda Rahman Anti, Wali Mohammad Abdullah, M. Rahman

引用次数: 1

Stacked auto encoder training incorporating printed text data for handwritten bangla numeral recognition 结合印刷文本数据的手写体孟加拉数字识别的堆叠自动编码器训练

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860238

Mahtab Ahmed, A. Paul, M. Akhand

{"title":"Stacked auto encoder training incorporating printed text data for handwritten bangla numeral recognition","authors":"Mahtab Ahmed, A. Paul, M. Akhand","doi":"10.1109/ICCITECHN.2016.7860238","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860238","url":null,"abstract":"Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. Bangla is a major language in Indian subcontinent and is the first language of Bangladesh; but unfortunately, study regarding handwritten Bangla numeral recognition (HBNR) is very few with respect to other major languages such as English, Roman etc. Some noteworthy research works have been conducted for recognition of Bangla handwritten numeral using artificial neural network (ANN) as ANN and its various updated models are found to be efficient for classification task. The aim of this study is to develop a better HBNR system and hence investigated deep architecture of stacked auto encoder (SAE) incorporating printed text (SAEPT) method. SAE is a variant of neural networks (NNs) and is applied efficiently for hierarchical feature extraction from its input. The proposed SAEPT contains the encoding of handwritten numeral into printed form in the course of pre-training and finally initializing a multi-layer perceptron (MLP) using these pre-trained weights. Unlike other methods, it does not employ any feature extraction technique. Benchmark dataset with 22000 hand written numerals with different shapes, sizes and variations are used in this study. The proposed method is shown to outperform other prominent existing methods achieving satisfactory recognition accuracy.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129581648","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: 4

Trophallaxis and energy optimization in swarms of robots 机器人群的营养与能量优化

2016 19th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860247

A. Shamsuddin, Turzo Ahsan, Ifrat Rahman, S. Momen

引用次数: 1