2018 Majan International Conference (MIC)最新文献_第2页

Design and implementation of private cloud for higher education using OpenStack 基于OpenStack的高等教育私有云的设计与实现

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363161

G. Bhatia, Ismail Al Noutaki, Sheikha Al Ruzeiqi, Jawaher Al Maskari

引用次数: 8

Application of text classification and clustering of Twitter data for business analytics Twitter数据的文本分类和聚类在商业分析中的应用

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363162

Alrence S. Halibas, Abubucker Samsudeen Shaffi, Mohamed Mohamed

{"title":"Application of text classification and clustering of Twitter data for business analytics","authors":"Alrence S. Halibas, Abubucker Samsudeen Shaffi, Mohamed Mohamed","doi":"10.1109/MINTC.2018.8363162","DOIUrl":"https://doi.org/10.1109/MINTC.2018.8363162","url":null,"abstract":"In the recent years, social networks in business are gaining unprecedented popularity because of their potential for business growth. Companies can know more about consumers' sentiments towards their products and services, and use it to better understand the market and improve their brand. Thus, companies regularly reinvent their marketing strategies and campaigns to fit consumers' preferences. Social analysis harnesses and utilizes the vast volume of data in social networks to mine critical data for strategic decision making. It uses machine learning techniques and tools in determining patterns and trends to gain actionable insights. This paper selected a popular food brand to evaluate a given stream of customer comments on Twitter. Several metrics in classification and clustering of data were used for analysis. A Twitter API is used to collect twitter corpus and feed it to a Binary Tree classifier that will discover the polarity lexicon of English tweets, whether positive or negative. A k-means clustering technique is used to group together similar words in tweets in order to discover certain business value. This paper attempts to discuss the technical and business perspectives of text mining analysis of Twitter data and recommends appropriate future opportunities in developing this emerging field.","PeriodicalId":250088,"journal":{"name":"2018 Majan International Conference (MIC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530006","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: 31

An energy aware secure wireless network using particle swarm optimization 基于粒子群优化的能量感知安全无线网络

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363148

K. Stephen, V. Mathivanan

引用次数: 9

IRDM watermarking with EMRC6 encryption for DRM system 基于EMRC6加密的IRDM数字水印

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363157

S. Mary, S. Joe, M. Siddique

{"title":"IRDM watermarking with EMRC6 encryption for DRM system","authors":"S. Mary, S. Joe, M. Siddique","doi":"10.1109/MINTC.2018.8363157","DOIUrl":"https://doi.org/10.1109/MINTC.2018.8363157","url":null,"abstract":"The information in the digital form encounters various form of attacks while it is being sent through the communication channel. To withstand the attacks the information has to be secured by any one of the security mechanism. Digital Right Management (DRM) system is one where the right of ownership, authentication and integrity of the information and such other safety protocols are maintained. This paper consists of a working model for DRM system that is a combination of Improved Rational Dither Modulation (IRDM) for watermarking and Enhanced Modified Rivet Cipher 6 (EMRC6) for encryption. Since both the watermarking and encryption schemes are integrated together, this model provides a high level of security thus making the DRM system more robust. The input information can be either text or two dimensional image but this model can be extended to multidimensional information also. IRDM is a frequency domain scheme and is used for improving the robustness of the watermarking system. When compared to its predecessor RDM, IRDM is resistant to all attacks on watermark information and especially to scaling attack. The EMRC6 encryption scheme is a block ciphering method that is faster than the other version of RC6 and it has no attack. Hence it provides a high level of security to the information. The information from the output of this model ensures that the output digital image does not have any visual artifact since the PSNR value is around 41 dB on an average and the correlation coefficient is near to zero. The encryption time is very low and the throughput is high thus concluding that the working model is very fast.","PeriodicalId":250088,"journal":{"name":"2018 Majan International Conference (MIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116201905","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: 2

Internet of nanothings: Challenges & opportunities 纳米物联网:挑战与机遇

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363165

Manal N. K. Al-Rawahi, Tripti Sharma, Praba Palanisamy

引用次数: 5

Review of potential security attacks in VANET 审查VANET中潜在的安全攻击

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363152

M. Shahid, A. Jaekel, C. Ezeife, Qasim Al-Ajmi, Ikjot Saini

引用次数: 16

Analysis of effectiveness of smart city implementation in transportation sector in Oman 阿曼交通部门实施智慧城市的有效性分析

2018 Majan International Conference (MIC) Pub Date : 2018-03-19 DOI: 10.1109/MINTC.2018.8363163

Wisam Ahmed Al Farsi, Geetha Achuthan

引用次数: 1

Recursive clustering technique for students' performance evaluation in programming courses 递归聚类技术在程序设计课程学生成绩评估中的应用

2018 Majan International Conference (MIC) Pub Date : 2018-03-01 DOI: 10.1109/MINTC.2018.8363153

V. Anand, S. K. Abdul Rahiman, E. Ben George, A. S. Huda

{"title":"Recursive clustering technique for students' performance evaluation in programming courses","authors":"V. Anand, S. K. Abdul Rahiman, E. Ben George, A. S. Huda","doi":"10.1109/MINTC.2018.8363153","DOIUrl":"https://doi.org/10.1109/MINTC.2018.8363153","url":null,"abstract":"Automated prediction of students' performance in the earlier stage is a useful prospect in the teaching learning process. If the students who are probably going to fail are identified in the initial stage, a set of corrective measures can be taken to improve their grades. This paper employs the machine learning approach called the Recursive Clustering technique to group the students of the programming course into groups based on their performance in the prerequisite courses, co-requisite, CGPA and current course work result. Students present in the lower groups will be taken into consideration since they are highly prone to fail. Each of these groups will be provided with the set of programs and notes automatically based on their group. After a time period another assessment will be carried out and again the students will be clustered based on their new performance. This process will be repeated for three times so that most of the students from the lower group will move to the higher group. The results are compared to the number of students in each group before applying the recursive clustering technique and after. The results prove that this approach provides an effective way to predict the low performing students from their early in-class assessment, thereby enabling the student to be on track.","PeriodicalId":250088,"journal":{"name":"2018 Majan International Conference (MIC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214304","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: 18