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2018 International Conference on Platform Technology and Service (PlatCon)最新文献

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Context-Driven Mobile Learning Using Fog Computing 使用雾计算的上下文驱动的移动学习
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472763
Hameed Pinjari, Anand Paul, Gwanggil Jeon, Seungmin Rho
{"title":"Context-Driven Mobile Learning Using Fog Computing","authors":"Hameed Pinjari, Anand Paul, Gwanggil Jeon, Seungmin Rho","doi":"10.1109/PLATCON.2018.8472763","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472763","url":null,"abstract":"There has been a rapid development in mobile, cloud computing and sensor technologies which enables learners to learn more effectively, flexibly and efficiently from anywhere. Using mobile devices for learning exploits the features of mobile computing such that they can be used to develop customizable systems that help in context-aware learning. Mobile learning refers to the use of mobile devices for the purpose of learning while on the move. In this paper we propose to apply fog computing in mobile learning in order to achieve efficient context-aware learning. Using fog computing reduces the latency and the time complexity of using a mobile learning application.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130633845","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
Resource-Oriented Architecture for Smart Home Operations Management Platforms 面向资源的智能家居运营管理平台架构
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472751
Chun-Feng Liao, Yingru Chen
{"title":"Resource-Oriented Architecture for Smart Home Operations Management Platforms","authors":"Chun-Feng Liao, Yingru Chen","doi":"10.1109/PLATCON.2018.8472751","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472751","url":null,"abstract":"Until recently, Smart Home technologies are still not widely deployed in most peoples living spaces. The main reason is that operations management mechanisms for Smart Home such as remote deployment, monitoring, and maintenance are not well-studied and only a few attempts have so far been made toward this aspect. CWMP, proposed by Broadband Forum, is a promising standard for realizing a Smart Home operations management platform. Previously, we have investigated real-world operations management issues of Smart Home services, namely, newly installed, module purchasing and download, service start, service update, service diagnosis, failure recovery, usage statistics, and billing. After examining CWMP in detail, several issues of CWMP, namely, poor performance and scalability, poor domain model design and inappropriate web callback architecture, have been identified. The objective of this paper is, therefore, to deal with the issues mentioned above by suggesting a set of RESTful ways to refactor the CWMP-based operations management platform. The overall approach is based on the RESTful architectural style. The proposed architecture has been realized as an operations management platform prototype. Validations and experiments are performed to verify the effectiveness of the proposed architecture.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128343596","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
Fast Implementation of Simeck Family Block Ciphers Using AVX2 用AVX2快速实现Simeck族分组密码
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472759
Taehwan Park, Hwajeong Seo, Howon Kim
{"title":"Fast Implementation of Simeck Family Block Ciphers Using AVX2","authors":"Taehwan Park, Hwajeong Seo, Howon Kim","doi":"10.1109/PLATCON.2018.8472759","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472759","url":null,"abstract":"In CHES 2015, the Simeck light-weight family block cipher was proposed, which has similar architecture to SIMON and SPECK. Previous works on implementation of Simeck family lightweight block cipher are focused on the embedded device environment. In this paper, we proposed the fast implementation methods of Simeck family lightweight block ciphers by using intel AVX2 on the Intel x86-64 environment. The proposed Simeck32/64 and Simeck64/128 require 3.797 cycles/bytes and 6.734 cycles/bytes respectively. The proposed methods enhance 15.67, and 7.42 times than previous work.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115711776","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
A Study on a Cyber Threat Intelligence Analysis (CTI) Platform for the Proactive Detection of Cyber Attacks Based on Automated Analysis 基于自动分析的主动检测网络攻击的网络威胁情报分析平台研究
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472766
Byungik Kim, Nakhyun Kim, Seulgi Lee, Hyeisun Cho, Junhyung Park
{"title":"A Study on a Cyber Threat Intelligence Analysis (CTI) Platform for the Proactive Detection of Cyber Attacks Based on Automated Analysis","authors":"Byungik Kim, Nakhyun Kim, Seulgi Lee, Hyeisun Cho, Junhyung Park","doi":"10.1109/PLATCON.2018.8472766","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472766","url":null,"abstract":"This paper proposes an automated cyberattack analysis platform that is designed to analyze and respond to cyberattacks, which are becoming ever more intelligent and advanced. The ICT information generated during previous cyberattacks will be collected to analyze cyberattacks automatically, and the relationship between the collected information, level of re-exploitation, and similar ICT information among cyberattacks will be automatically analyzed. If the values that are currently being monitored are entered into the developed platform, the most similar cyberattacks in the past and the current phase of attacks will be provided to the analyst. In addition, a system capable of blocking attacks in advance before damages are caused could be developed by providing response/analysis guideline information on the potential future attack inflow.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124457990","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
Detecting Flood Vulnerable Areas in Social Media Stream Using Association Rule Mining 基于关联规则挖掘的社交媒体流洪水易损区域检测
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472731
Maria Rosario D. Rodavia, Lilibeth T. Cuison, Arne B. Barcelo
{"title":"Detecting Flood Vulnerable Areas in Social Media Stream Using Association Rule Mining","authors":"Maria Rosario D. Rodavia, Lilibeth T. Cuison, Arne B. Barcelo","doi":"10.1109/PLATCON.2018.8472731","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472731","url":null,"abstract":"In this study, we identify flood vulnerable areas by employing association rule mining to social media streams. The following processes are involved: (1) data collecting; (2) data cleaning; (3) representing the training data; (4) determining the association between words; and (5) using the association values as guide to identify vulnerable areas. As testbed, we focused on tweets from Metro Manila, particularly tweets from August 2015. We decided to use tweets since it is publicly available. This study will aid different government agencies, specifically those that are focusing in disaster management and others that are into flood related proj ects. This paper presents the possibility of detecting location in Metro Manila, which in turn gives higher possibility of being able to trace possible flood vulnerable areas. As future works, since the entity extraction is done manually an automation of this can be very helpful to other researchers.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131499296","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
Analysis of Association Between Students' Mathematics Test Results Using Association Rule Mining 基于关联规则挖掘的学生数学考试成绩关联分析
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472756
SungSik Park, Young B. Park
{"title":"Analysis of Association Between Students' Mathematics Test Results Using Association Rule Mining","authors":"SungSik Park, Young B. Park","doi":"10.1109/PLATCON.2018.8472756","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472756","url":null,"abstract":"With the development of computers, the amount of data is rapidly increasing as it is able to process larger amounts of data than in the past. Data mining technology is finding its way to finding meaningful data in a lot of data. Data mining methods include classification, clustering, and association analysis. In this study, we use apriori algorithm, one of the association rule search methods, to analyze the relationship between mathematics scores and problem solving patterns of students through mathematics test data of students. Through the association rule search, the data belonging to the specific score category were able to analyze the correlation of the solution pattern to the specific problem.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129186532","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
Movie Recommendation Using Metadata Based Word2Vec Algorithm 基于元数据的Word2Vec算法电影推荐
2018 International Conference on Platform Technology and Service (PlatCon) Pub Date : 1900-01-01 DOI: 10.1109/PLATCON.2018.8472729
Y. Yoon, Jun Woo Lee
{"title":"Movie Recommendation Using Metadata Based Word2Vec Algorithm","authors":"Y. Yoon, Jun Woo Lee","doi":"10.1109/PLATCON.2018.8472729","DOIUrl":"https://doi.org/10.1109/PLATCON.2018.8472729","url":null,"abstract":"Nowadays, recommending preferable item among huge number of item is essential on online market. Many content platforms, such as YouTube and Amazon, use recommendation techniques to recommend items. Therefore, various techniques have been studied to recommend desirable item for each users. In this paper, we propose a method for effectively recommending preferable movies for each users by using community user's movie rating information and movie metadata information with deep learning technology. The proposed method shows 0.165 performance improvement based on Rcall©100 as compared with the basline method.","PeriodicalId":231523,"journal":{"name":"2018 International Conference on Platform Technology and Service (PlatCon)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126846113","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
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