2018 21st International Conference of Computer and Information Technology (ICCIT)最新文献

Facial Expression Region Segmentation Based Approach to Emotion Recognition Using 2D Gabor Filter and Multiclass Support Vector Machine 基于二维Gabor滤波和多类支持向量机的面部表情区域分割情感识别方法

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631922

Bayezid Islam, F. Mahmud, A. Hossain

{"title":"Facial Expression Region Segmentation Based Approach to Emotion Recognition Using 2D Gabor Filter and Multiclass Support Vector Machine","authors":"Bayezid Islam, F. Mahmud, A. Hossain","doi":"10.1109/ICCITECHN.2018.8631922","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631922","url":null,"abstract":"Facial expressions have been studied extensively for the analysis of human sentiment properly. A human emotion recognition system through recognizing human facial expression is proposed in this paper. After preprocessing, segmentation of the facial expression regions is done in a unique yet effective and easy way to segment the left eye, right eye, nose, mouth properly from the facial region. 2D Gabor filter is used for the extraction of features from the expression regions. For reducing the dimension of the extracted features, downsampling and Principal Component Analysis (PCA) is used. For carrying out the classification task multiclass Support Vector Machine (SVM) is used for its ability to handle complex problems in high dimensional spaces. Three publicly available facial expression dataset was used to evaluate the performance of the proposed system. Finally, performance on these datasets by the proposed method is compared to previously attained performance by different methods which indicate that the proposed method attains state-of-the-art performance.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122757234","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: 8

Development of a Voice and SMS Controlled Dot Matrix Display Based Smart Noticing System with RF Transceiver and GSM Modem 基于射频收发器和GSM调制解调器的语音和短信控制点阵显示智能通知系统的开发

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631914

Md. Eftekhar Alam, M. A. Kader, Shamima Akter Proma, Sanchita Sharma

{"title":"Development of a Voice and SMS Controlled Dot Matrix Display Based Smart Noticing System with RF Transceiver and GSM Modem","authors":"Md. Eftekhar Alam, M. A. Kader, Shamima Akter Proma, Sanchita Sharma","doi":"10.1109/ICCITECHN.2018.8631914","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631914","url":null,"abstract":"The noticeboard is a primary thing in any institution or organization to disperse information among the stakeholders. In the busy and fast moving world today, conventional sticking paper notice system is time-consuming and not suitable for quick sharing of information. This paper represents a smart electronic remote noticing system where an authorized accountable person can share information in the notice board anytime from his office room or any places in the world having the cellular network. In the proposed system, notice can be sent in two ways. The user can update notice from his office room either by voice or text message via a smartphone using Bluetooth and RF communication within 1-kilometer distance. In this way, the user sent notice using his own local wireless network and should not pay money to any operator. Another way to update notice by sending SMS using mobile network when the user stays outside of his office room. In this way, the user has to pay SMS charge to the mobile operator. The notices sent by the user are scrolled in a 32X8 LED matrix display. The system can show current notice with two previous notices. It also gives a notification by a buzzer when a new notice is received. This smart notice board can make noticing system of an organization much simple, fast and cost-effective.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125955851","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

An Empirical Study and Analysis of the Machine Learning Algorithms Used in Detecting Cyberbullying in Social Media 机器学习算法在社交媒体网络欺凌检测中的实证研究与分析

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631958

Mifta Sintaha, M. Mostakim

引用次数: 10

Iterative Feature Selection Using Information Gain & Naïve Bayes for Document Classification 基于信息增益和Naïve贝叶斯迭代特征选择的文档分类

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631971

Chowdhury Mofizur Rahman, Lameya Afroze, Naznin Sultana Refath, Nafin Shawon

引用次数: 1

NoCS2: Topic-Based Clustering of Big Data Text Corpus in the Cloud NoCS2:云环境下基于主题的大数据文本语料库聚类

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631951

S. Zobaed, Md. Enamul Haque, Shahidullah Kaiser, R. Hussain

{"title":"NoCS2: Topic-Based Clustering of Big Data Text Corpus in the Cloud","authors":"S. Zobaed, Md. Enamul Haque, Shahidullah Kaiser, R. Hussain","doi":"10.1109/ICCITECHN.2018.8631951","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631951","url":null,"abstract":"Cloud services are widely deployed to store and process big data. Organizations who deal with big data, especially large document set, prefer utilizing cloud services for storage and computational efficiency. However, for processing large text corpus, an inefficient data processing is computationally expensive for real-time systems. In addition, efficient memory utilization is important to cluster big data including large text corpus. Clustering of the large text corpus is an important component of various document retrieval systems such as PubMed1. To address these challenges, in this paper, we present NoCS2 (Number of Cluster and Seed Selection) for efficient topic-based clustering from unstructured big data in the cloud. NoCS2 relies on computing and storage services in the cloud server. Traditional clustering solutions for text dataset consider a fixed number of clusters irrespective of the dataset size and characteristics such as science and technology. Alternatively, our solution dynamically determines the appropriate $k$ number of clusters based on the characteristics of the dataset. Particularly, we use precomputed matrix trace as the number of clusters for a dataset that represents the total number of keywords using vector representation. Then, we build $k$ clusters using topic-based similarity among keywords. Finally, we compare our proposed method with two state-of-the-art clustering methods. Empirical results demonstrate that the average closeness score of NoCS2 is better than other methods for large and sparse datasets.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133788078","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: 5

Website Classification Using Word Based Multiple N -Gram Models and Random Search Oriented Feature Parameters 基于词的多N -Gram模型和面向特征参数随机搜索的网站分类

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631907

Ashadullah Shawon, S. T. Zuhori, F. Mahmud, Md. Jamil-Ur Rahman

{"title":"Website Classification Using Word Based Multiple N -Gram Models and Random Search Oriented Feature Parameters","authors":"Ashadullah Shawon, S. T. Zuhori, F. Mahmud, Md. Jamil-Ur Rahman","doi":"10.1109/ICCITECHN.2018.8631907","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631907","url":null,"abstract":"Website classification is a convenient starting point for building an intelligent web browser and social networking sites that can understand the favorite categories of a user and also detect adult or harmful websites perfectly. Classifying the web sites using the information of the Uniform Resource Locator (URL) is an important and fast technique. A perfect result is needed for URL classification to make it usable in the real world applications. So we have proposed an improved approach for URL classification that is able to provide a better result. We have introduced the word-based multiple n-gram models for efficient feature extraction and multinomial distribution for Naive Bayes classifier under the Random Search pipeline for hyperparameter optimization that finds the best parameters of the URL features. The experimental result of our research is compared with the result of previous research works and we have shown a better result than the existing result. Our experimental result provides 88.77% in recall and 87.63% in F1-Score which is the best performance so far.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767428","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: 14

Power Efficient Distant Controlled Smart Irrigation System for AMAN and BORO Rice AMAN和BORO水稻高效节能远程控制智能灌溉系统

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631927

Rahat Hossain Faisal, Chandrika Saha, Md. Hasibul Hasan, Palash Kumar Kundu

引用次数: 7

Performance Issues of SYRK Implementations in Shared Memory Environments for Edge Cases 边缘情况下共享内存环境中syk实现的性能问题

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631936

Md Mosharaf Hossain, Thomas M. Hines, S. Ghafoor, Ryan J. Marshall, Muzakhir S. Amanzholov, R. Kannan

引用次数: 0

Design and Implementation of the Next Generation Mars Rover 下一代火星探测器的设计与实现

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631928

Thajid Ibna Rouf Uday, Nazib Ahmad, Amit Ghosh, Junaed Jahin, Md. Mosfiqur Rahman, Md Ifraham Iqbal, Md. Toriqul Islam, Faizah Farzana, Md. Mizanur Rahman, Gma Ehsan Ur Rahman, Farhana Sharmin Tithi

{"title":"Design and Implementation of the Next Generation Mars Rover","authors":"Thajid Ibna Rouf Uday, Nazib Ahmad, Amit Ghosh, Junaed Jahin, Md. Mosfiqur Rahman, Md Ifraham Iqbal, Md. Toriqul Islam, Faizah Farzana, Md. Mizanur Rahman, Gma Ehsan Ur Rahman, Farhana Sharmin Tithi","doi":"10.1109/ICCITECHN.2018.8631928","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631928","url":null,"abstract":"In this paper, we investigate a fully operational mobile platform rover “Mars Rover UIU” which can perform as human assistant in traversing and analyzing the surface of planet Mars and complete the assigned scientific analysis and Testing. The rover is designed with modified rocker-bogie, SMPS technology-based power system, a robotic Arm with 5 degrees of freedom and is controlled using Microsoft Xbox 360 controller. On June 2017 in the 11th annual University Rover Challenge organized by The Mars Society at Utah, USA, the team successfully placed 36th position out of 82 registered teams from 13 countries. “Mars Rover UIU” can perform various tasks such as Scientific Analysis, Extreme Retrieval and Delivery, Equipment Servicing and Autonomous traversal of a variety of terrains (sandy, rocky, vertical drops, steep slopes). It can examine existence of microbial life by studying geological context such as evidence of water flow, present minerals and soil structure. It can assist astronauts by retrieving and delivering objects to destinations marked by GPS coordinates and service equipment by connecting carabineers, flipping switches, pushing buttons, pouring fuel, screwing etc. This paper represents a synopsis of the mechanism design, software architecture and technologies implemented in “Mars Rover UIU” along with its potentiality.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128562897","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

A Corpus Based N-gram Hybrid Approach of Bengali to English Machine Translation 基于语料库的孟加拉语到英语机器翻译的N-gram混合方法

2018 21st International Conference of Computer and Information Technology (ICCIT) Pub Date : 2018-12-01 DOI: 10.1109/ICCITECHN.2018.8631938

M. M. Rahman, Md Faisal Kabir, M. N. Huda

{"title":"A Corpus Based N-gram Hybrid Approach of Bengali to English Machine Translation","authors":"M. M. Rahman, Md Faisal Kabir, M. N. Huda","doi":"10.1109/ICCITECHN.2018.8631938","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2018.8631938","url":null,"abstract":"Machine translation means automatic translation which is performed using computer software. There are several approaches to machine translation, some of them need extensive linguistic knowledge while others require enormous statistical calculations. This paper presents a hybrid method, integrating corpus based approach and statistical approach for translating Bengali sentences into English with the help of N-gram language model. The corpus based method finds the corresponding target language translation of sentence fragments, selecting the best match text from the bilingual corpus to acquire knowledge while the N-gram model rearranges the sentence constituents to get an accurate translation without employing external linguistic rules. A variety of Bengali sentences, including various structures and verb tenses are considered to translate through the new system. The performance of the proposed system is evaluated in terms of adequacy, fluency, WER, and BLEU score. The assessment scores are compared with other conventional approaches as well as with Google Translate, a well-known free machine translation service by Google. It has been found that experimental results of the work provide higher scores over Google Translate and other methods with less computational cost.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127159891","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: 8