2018 6th International Conference on Information and Communication Technology (ICoICT)最新文献_第10页

Tokenization and N-Gram for Indexing Indonesian Translation of the Quran 古兰经印尼语翻译的标记化和N-Gram索引

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528762

S. Putra, M. Gunawan, Agung Suryatno

引用次数: 6

Automatic Tweet Classification Based on News Category in Indonesian Language 基于印尼语新闻分类的推文自动分类

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528788

Jaka E. Sembodo, E. B. Setiawan, M. Bijaksana

{"title":"Automatic Tweet Classification Based on News Category in Indonesian Language","authors":"Jaka E. Sembodo, E. B. Setiawan, M. Bijaksana","doi":"10.1109/ICOICT.2018.8528788","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528788","url":null,"abstract":"Tweet is being informative as well as news articles, so that the automatic tweet classifier based on news category could be useful to make ease in searching tweet based on certain interesting category. We identified those are 11 categories: religion, business, entertainment, law and crime, health, motivation, sport, government, education, politics and technology. In the learning process, we use ZeroR, Naive Bayes Multinomial (NBM), Support Vector Machine (SVM), Random Forest (RF) and Sequential Minimal Optimization (SMO) algorithm based on previous work that has similar topic with this paper. In experiments, we experiment classifier using all tweet and various maximum number of tweets and terms in each category. In evaluating performance system, we used 10-fold cross validation and use accuracy (correctly classified instances) as performance paramater. In the experiments result, NBM performs the highest performance with 77,47% accuracy with maximum number of tweets and terms in every category is 500 tweets and 1000 terms. At the last, we built automatic tweet classifier with NBM due to this classifier and experiment result perform the best performances using web-based programming.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157899","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

Toward Full Enterprise Software Support on nDPI 面向nDPI的全面企业软件支持

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528792

Gregorius Aldo Radityatama, Charles Lim, Heru Purnomo Ipung

{"title":"Toward Full Enterprise Software Support on nDPI","authors":"Gregorius Aldo Radityatama, Charles Lim, Heru Purnomo Ipung","doi":"10.1109/ICOICT.2018.8528792","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528792","url":null,"abstract":"Next Generation Firewall (NGFW) adds new capabilities of a standard firewall with an ability to inspect packets' contents, thus increasing precision. Three main usages of NGFW are to improve the Quality of Service (QoS) of a business, as an application-based filtering firewall, and to protect the network from known security threats. A complete NGFW system has three main components: Deep Packet Inspection (DPI), Intrusion Prevention System (IPS), and an extra-firewall intelligence mechanism. One example of open-source DPI implementations is called nDPI. As the number of enterprise applications (used in the commercial organizations) continues to rise, nDPI is also lagging in terms of coverage for enterprise software support. The aim of this research is to design and implement better enterprise-grade software support protocols on nDPI. Five common enterprise applications were chosen and implemented. The experiment results were then compared with the commercial implementation of NGFW in terms of overall precision and performance of nDPI. The results show that the accuracy of nDPI the new protocols implemented reaches more than 90% with a small (less than 3,5%) increase of CPU execution time and very small (less than 1%) increase of peak heap memory usage.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742964","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

Mapping Walls of Indoor Environment Using Moving RGB-D Sensor 利用移动RGB-D传感器绘制室内环境墙壁

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-03-28 DOI: 10.1109/ICOICT.2018.8528805

Ismail Rusli, B. Trilaksono, W. Adiprawita

引用次数: 2