2018 13th International Conference on Computer Science & Education (ICCSE)最新文献_第5页

Analysis and Countermeasures on the Resignation Rate of College Students 大学生离职率分析及对策

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/iccse.2018.8468765

W. Zhou, Baobin Liu

引用次数: 0

Software Realization of Network Off-line Scheduling with Time-Triggered Ethernet on the Basis of Response Constraint 基于响应约束的时间触发以太网网络离线调度的软件实现

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468811

Qing Wang, Liping Teng, Yaotong Yang, Huimin Wu, Wenxing Hong, Wenjian Li

引用次数: 0

Research on Integrating Online Learning into Offline Teaching 线上学习与线下教学的整合研究

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468738

Mei Yu, Tianyi Xu, Jie Gao, Ruiguo Yu, Rui Deng, Y. Liu, Yan Zhang, Shuang Feng

引用次数: 2

Tempcache: A Database Optimization Algorithm for Real-Time Data Handling in Indoor Spatial Environments Tempcache:室内空间环境下实时数据处理的数据库优化算法

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468732

J. Jayakody, I. Murray, J. Hermann, S. Lokuliyana, V. Dunuwila

{"title":"Tempcache: A Database Optimization Algorithm for Real-Time Data Handling in Indoor Spatial Environments","authors":"J. Jayakody, I. Murray, J. Hermann, S. Lokuliyana, V. Dunuwila","doi":"10.1109/ICCSE.2018.8468732","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468732","url":null,"abstract":"The unstable arrangement of modern indoor environments has made navigation within buildings a difficult task. Hence, this paper introduces the AccessBIM framework, which is an efficient real-time indoor navigation system that facilitates in generating a real-time indoor map by crowdsourcing spatial data through the sensors available in mobile devices of navigators. The framework is equipped with a database optimization algorithm known as “Tempcache” which reduces the time and cost of searching data by examining the AccessBIM database for previously navigated paths, thus enabling faster data retrieval through efficient query processing. A simulation of a virtual environment similar to an actual indoor environment was used to test the algorithm. The significance of the algorithm was validated by comparing the total map generation time before and after the algorithm was applied for which the results demonstrated a reduction in map generation time with the use of the algorithm. The framework is also capable of capturing localization information with the support of i-Beacons which is then stored in a cloud server.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489877","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: 1

R - Killer: An Email Based Ransomware Protection Tool R -杀手:基于电子邮件的勒索软件保护工具

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468807

Bathiya Lokuketagoda, Medhavi Prathibha Weerakoon, Udara M. Kuruppu, A. Senarathne, Kavinga Yapa Abeywardena

{"title":"R - Killer: An Email Based Ransomware Protection Tool","authors":"Bathiya Lokuketagoda, Medhavi Prathibha Weerakoon, Udara M. Kuruppu, A. Senarathne, Kavinga Yapa Abeywardena","doi":"10.1109/ICCSE.2018.8468807","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468807","url":null,"abstract":"Ransomware has become a common threat in past few years and the recent threat reports show an increase of growth in Ransomware infections. Researchers have identified different variants of Ransomware families since 2015. Lack of knowledge of the user about the threat is a major concern. Ransomware detection methodologies are still growing through the industry. Email is the easiest method to send Ransomware to its victims. Uninformed users tend to click on links and attachments without much consideration assuming the emails are genuine. As a solution to this in this paper R-Killer Ransomware detection tool is introduced. Tool can be integrated with existing email services. The core detection Engine (CDE) discussed in the paper focuses on separating suspicious samples from emails and handling them until a decision is made regarding the suspicious mail. It has the capability of preventing execution of identified ransomware processes. On the other hand, Sandboxing and URL analyzing system has the capability of communication with public threat intelligence services to gather known threat intelligence. The R-Killer has its own mechanism developed in its Proactive Monitoring System (PMS) which can monitor the processes created by downloaded email attachments and identify potential Ransomware activities. R-killer is capable of gathering threat intelligence without exposing the user's data to public threat intelligence services, hence protecting the confidentiality of user data.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125097518","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: 10

Research on Keyword Extraction Algorithm for Chinese Text Based on Document Topic Structure and Semantics 基于文档主题结构和语义的中文文本关键字提取算法研究

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468861

Kunhui Lin, Chuchu Gao, Xiaoli Wang, Ming Qiu

{"title":"Research on Keyword Extraction Algorithm for Chinese Text Based on Document Topic Structure and Semantics","authors":"Kunhui Lin, Chuchu Gao, Xiaoli Wang, Ming Qiu","doi":"10.1109/ICCSE.2018.8468861","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468861","url":null,"abstract":"Keywords can summarize the content of articles and reflect the topic of articles, which helps people to find resources. However, most of the current text resources do not provide keywords. Manual tagging keywords, with high accuracy, but often with strong subjectivity, takes more time to read and understand the text, which obviously can't meet the rapid growth of information resources today. Keyword extraction technology, establishing a unified standard, with the help of the computer's rapid processing power, automatically extracting keywords, can greatly reduce the manpower, time consumption and the impact of subjectivity. In this paper, we propose an improved algorithm for extracting more effective keywords. We first find the optimal paragraphing in the continuous text segmentation, and construct the topic hierarchy of the document based on the vector space model. Then we develop an algorithm based on the topic hierarchy of the document to extract most significant keywords. We add the semantic similarity between Chinese words to further improve the algorithm, and combine the statistical methods with semantics to improve the effect of keyword extraction.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127578316","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: 1

Intelligent Student Services Administration System in the Context of Collegiate System 学院制背景下的智能学生服务管理系统

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468722

Feng Tianxiang, Cen Gang, Chen Bo, Zhang Yifan

引用次数: 2

Rise of Social Media Marketing: A Perspective on Higher Education 社会化媒体营销的兴起:高等教育的视角

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468683

L. Xiong, A. Alsadoon, Angelika Maag, P. Prasad, L. S. Hoe, A. Elchouemi

引用次数: 9

Virtual Furniture Shop 虚拟家具店

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468813

M.K. Galketiya, I.N. Fredrick, D.S.U. Katugampala, As Adikari, U. Rajapaksha, S.M. Buddhika Harshanth

引用次数: 0

Location Based Garbage Management System with IoT for Smart City 智能城市基于位置的物联网垃圾管理系统

2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468682

S. Lokuliyana, A. Jayakody, G.S.B. Dabarera, Ramp Ranaweera, Pulasthi Perera, P.A.D.V.R. Panangala

{"title":"Location Based Garbage Management System with IoT for Smart City","authors":"S. Lokuliyana, A. Jayakody, G.S.B. Dabarera, Ramp Ranaweera, Pulasthi Perera, P.A.D.V.R. Panangala","doi":"10.1109/ICCSE.2018.8468682","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468682","url":null,"abstract":"Smart cities integrate multiple ICT and IOT solutions to build a comfortable human habitation. One of these solutions is to provide an environmentally friendly, efficient and effective garbage management system. The current garbage collection system includes routine garbage trucks doing rounds daily or weekly, which not only doesn't cover every zone of the city but is a completely inefficient use of government resources. This paper proposes a cost-effective IOT based system for the government to utilize available resources to efficiently manage the overwhelming amounts of garbage collected each day, while also providing a better solution for the inconvenience of garbage disposal for the citizens. This is done by a network of smart bins which integrates cloud-based techniques to monitor and analyze data collected to provide predictive routes generated through algorithms for garbage trucks. An android app is developed for the workforce and the citizens, which primarily provides the generated routes for the workforce and finds the nearest available smart bin for citizens.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829804","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