2018 8th International Conference on Computer Science and Information Technology (CSIT)最新文献

CSCL Chats Analysis and Scientific Threads Discovery CSCL聊天记录分析与科学线索发现

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486197

M. Allaymoun

{"title":"CSCL Chats Analysis and Scientific Threads Discovery","authors":"M. Allaymoun","doi":"10.1109/CSIT.2018.8486197","DOIUrl":"https://doi.org/10.1109/CSIT.2018.8486197","url":null,"abstract":"Chat is considered one of the most important and common tools that is widely used in cooperative education. Although different applications are used in Computer-Supported Collaborative Learning (CSCL) tools, only few applications help teachers analyze conversations automatically in order to obtain information capable of evaluating educational dialogues. This paper presents an effective mechanism that is capable of analyzing CSCL chats and extracting scientific threads automatically. The aim is to accomplish several tasks, including identifying the most important discussed threads. Based on Bakhtin's ideas and Trausan-Matu's polyphonic model, used for the analysis of the chat content which resulted in the extraction of the most repeated words. In addition to providing teachers with results of analysis in the form of statistical tables, they can conclude with the most important scientific threads discussed and the number of their repetition in the conversation. Accordingly, the paper relies on the most common perception of scientific subjects and their storage in a database, through which words are categorized if they are in the scientific or otherwise field. We will notice that the application analyzes chat conducted for a group of students from the NOOR International School for discussion of scientific threads.","PeriodicalId":267689,"journal":{"name":"2018 8th International Conference on Computer Science and Information Technology (CSIT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586274","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

Analysis of Food Pairing in Some Eastern Mediterranean Countries 地中海东部一些国家食物搭配分析

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486256

Lana Issa, Firas Alghanim, Nadim Obeid

{"title":"Analysis of Food Pairing in Some Eastern Mediterranean Countries","authors":"Lana Issa, Firas Alghanim, Nadim Obeid","doi":"10.1109/CSIT.2018.8486256","DOIUrl":"https://doi.org/10.1109/CSIT.2018.8486256","url":null,"abstract":"Each nationality has their special culinary practice, which was built by many generations that formed the cultural and historical print of the regional cuisine. Furthermore, nearby regional cuisines tend to learn from each other either due to communication or migration. The geographical closure for Syria, Lebanon, Palestine and Jordan made their culinary practice and dishes very similar. In this paper, we study the recipes and culinary practice of these four countries and then test the hypotheses of the food pairings that represent the compatibility of every pair of ingredients by finding their shared flavor compounds. Our analysis is considered at cuisines level, recipes, ingredients, and ingredients pair's level. Our study brings up the special features in each cuisine, and explores the similarities and differences between these cuisines by studying their deep culinary details. Comparing the food pairing hypothesis with real life paired ingredients in these cuisines shows the cuisines real fingerprints and whether, or not, they are different from theories. The experimental results showed that the food pairing hypothesis has been confirmed for the cuisines of Jordan, Lebanon, Syria, and Palestine, which suggests that people in this area combine ingredients that have matching flavor compounds.","PeriodicalId":267689,"journal":{"name":"2018 8th International Conference on Computer Science and Information Technology (CSIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412273","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

Optimizing Neural Networks using Dragonfly Algorithm for Medical Prediction 利用蜻蜓算法优化神经网络进行医学预测

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486178

Mais Yasen, Nailah Al-Madi, Nadim Obeid

{"title":"Optimizing Neural Networks using Dragonfly Algorithm for Medical Prediction","authors":"Mais Yasen, Nailah Al-Madi, Nadim Obeid","doi":"10.1109/CSIT.2018.8486178","DOIUrl":"https://doi.org/10.1109/CSIT.2018.8486178","url":null,"abstract":"As the early diagnoses helps in curing most diseases or in making them more bearable, it increases the need to build a good prediction model. Artificial Neural Network (ANN) is one of the evolutionary computation techniques that can be used as a prediction model for new data records. The ANN training method implemented is backpropagation which can be used in conjunction with an optimization method such as Dragonfly Algorithm (DA) and Artificial Bee Colony (ABC) algorithm. ABC has been used in the optimization of synaptic weights from an ANN. This research presents the use of DA as an optimization algorithm for the weights of each connection between the ANN neurons in a model called (ANN-DA). A disease prediction model that makes use of ANN-DA and takes real data as a case study is presented. We shall also present a model that makes use of ABC, ANN-ABC, in order to evaluate ANN-DA. An experimental comparison of both optimization algorithms with other well-known classifiers has been made using different metrics. The results show that ANN-DA proved its efficiency over ANN-ABC and regular ANN. Furthermore, ANN-DA results were more robust for all datasets.","PeriodicalId":267689,"journal":{"name":"2018 8th International Conference on Computer Science and Information Technology (CSIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156178","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: 20

Knowledge Management Systems Usage From The User's Perspective: The Influence Of Organizational Factors In Jordanian Banking Sector 从用户角度看知识管理系统的使用:约旦银行业组织因素的影响

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486383

M. Okour, C. W. Chong, A. Asmawi, Mohammed Akour

引用次数: 0

Discovering a New Correlations and Patterns related to Educational Programs in Web Development 在Web开发中发现与教育项目相关的新关联和模式

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486171

Kathleen Kalata, Amal Alhosban

引用次数: 0

Is E-Government Service Quality (e-GovQual) Model Still Relevant? A Study in the context of Indonesian Government 电子政府服务质素模式是否仍然适用?印度尼西亚政府背景下的研究

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486357

Albar, H. Mooduto, Yuhefizar, Darmawan Napitupulu, Rahmat Hidavat

引用次数: 4

Cloud E-health Systems: A Survay on Security Challenges and Solutions 云电子医疗系统:安全挑战和解决方案调查

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486167

Mohammed Ali Kamoona, A. Altamimi

{"title":"Cloud E-health Systems: A Survay on Security Challenges and Solutions","authors":"Mohammed Ali Kamoona, A. Altamimi","doi":"10.1109/CSIT.2018.8486167","DOIUrl":"https://doi.org/10.1109/CSIT.2018.8486167","url":null,"abstract":"Cloud progression have led it to be adapted in many aspects and application that serve human demands. One of the recent trends in cloud computing is the e-health services, as many healthcare institutes have begun to interchange toward the digitalized version of health records. E-health provide easy sharing of personal health care records between multiple organizations and offered real-time monitoring for the patient's state via storing this data over the cloud servers. However, having the data in such a distributed setting rises the need for having a secured data sharing with fine- grained access control, as the records are stored in a third-party service provider that is considered a semi trusted. Also, many different aspects of security should be taken into count with e-health, for instance the data is critical and should be only available to its owners. Numerous works have been done to secure the medical data in cloud environment. This work focuses on the security challenges and solutions for on Cloud-based E-health systems. Specifically, a state of the art is presented to preserve and protect E-health data, which consists of two tiers: cryptographic and non-cryptographic approach. Also, some of main issues and open problems that can be used in future studies are pointed out in this work.","PeriodicalId":267689,"journal":{"name":"2018 8th International Conference on Computer Science and Information Technology (CSIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122538549","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: 9

Using Program Slicing to Detect the Dead Code 用程序切片检测死码

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486334

Nour Alabwaini, Amal Aldaàje, Tamara Jaber, Mohammad Abdallah, Abdelfatah Tamimi

引用次数: 9

An Efficient Search for Context-Based Chatbots 基于上下文的聊天机器人的有效搜索

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486187

A. Atiyah, S. Jusoh, Sufyan Almajali

引用次数: 17

SDSTM: a Self-Describing Semantic Trajectory Model for ubiquitous situations SDSTM:面向泛在情形的自描述语义轨迹模型

2018 8th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2018-07-01 DOI: 10.1109/CSIT.2018.8486186

Xingang Wang, Zhigang Gai, Y. Zheng, Shanshan Xu, Y. Liu, Jinhua Li

引用次数: 2