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- 저자 : Guanlin Chen (검색결과 6 건)
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A Novel Analysis System for Urban Construction Information Based on Case-Based Reasoning
Guanlin Chen,Yizhe Lu,Qun Liu,Ting Zhang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.5
Urban construction is the important infrastructure of the city, and it is the material basis for the urban survival and development. In this paper, a NASUCI (Novel Analysis System for Urban Construction Information) is proposed. Using data mining technology, case-based reasoning technology, the system focused on providing better decision support for urban construction. The system is composed of user management, enterprise information management, geographical information management, construction information display, construction information management, urban construction information analysis, and comprehensive statistics. NASUCI can help urban planners from a large number of original data mining more effective information, and to provide the chart display, make the analysis of urban construction become more scientific and efficient.
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An Intelligent Application Platform for Campus Life Based on Mobile Internet
Guanlin Chen,Peng Niu,Hui Yao 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.6
With the rapid development of mobile Internet, the smartphone has become an essential part of campus student everyday life. In this paper, an intelligent application platform for campus life based on mobile Internet (iCollege) is proposed. Using the collaborative filtering recommendation algorithm, iCollege aims at providing smart recommendations based on daily study demand and social entertainment of campus students.
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An Intelligent Analysis and Mining System for Urban Lighting Information
Guanlin Chen,Erpeng Wang,Xinxin Sun,Yanqiang Tang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3
Urban lighting information plays an important role in digital urban management. In this paper, an IAMSULI (Intelligent Analysis and Mining System for Urban Lighting Information) is proposed. Using data analysis technology, case-based reasoning technology and data mining technology comprehensively, the system aims at providing better decision support for lighting management. IAMSULI is composed of system management, geographical information management, lighting information management, lighting data analysis, comprehensive classification statistics and event management. The system can help us quickly find lighting problems, provide early warning alarm of the problems, and also supply constructive information for the urban development.
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A Network Security Scanning System for Mobile Internet Based on Android
Guanlin Chen,Lidong Zhang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.11
Recently with the rapid development of smart phones and mobile Internet, network security is more and more important in people’s daily life. In this paper, a network security scanning system based on Android (wScan) is proposed, which aims to make sure users’ mobile terminals are in a secure network environment when they are using these devices. The system is composed of WiFi scanning, router tracking, port scanning, running service detection, virus killing and real-time communication functions, which integrates Java technology, Eclipse platform and SQLite database. Using Nmap toolkit in the system, the wScan can provide valuable information of running services and opening ports in mobile devices based on Android.
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IPOMAS : An Internet Public Opinion Monitoring and Analyzing System
Guanlin Chen,Panqing Huang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.11
With the rapid development of Internet technology, the Internet has become an essential part of our everyday life. However, Internet can pose potential threats to government authorities, economic development or social stability in any country if false information, unsolicited or malicious public opinions are uncontrollably disseminated in large scale on the Internet, thanks to the attributes of low cost and anonymity of information exchange on the Internet. It is evident that an ineffective supervision and monitor of public opinions in the virtual cyber space can lead to serious social crisis or social instability in our real life. This paper is concluded by a summary of IPOMAS (Internet Public Opinion Monitoring and Analyzing System) implementation including the technical challenges, lessons learned and project outcomes through the lifecycle of the design, development and implementation of IPOMAS.
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A Big-Data-Based Urban Flood Defense Decision Support System
Taimeng Yang,Guanlin Chen,Xinxin Sun 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.12
As cities in developing countries are expanding rapidly in recent years, flood has an increasing impact on urban management. In this paper, we present the design and implementation of an urban flood defense decision support system based on big data. The system connects real-time sensor to collect streaming data, and uses a data-driven method that considers temporal and spatial factors to forecast water level in the next 6 hours. Thus, it can provide enough time for the authorities to take pertinent flood protection measures such as evacuation. Our predictive model is a hybrid of linear regression and artificial neural network, and can give early warning of potential flood using the forecast results. The system is implemented on Java EE platform, and integrated with Baidu Maps API to provide a user-friendly interface.
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