• 한국정보시스템학회지:정보시스템연구
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• 제31권4호
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• pp.101-121
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• 2022

Purpose This study aims to introduce a Smart-Platform for solving numerous problems in urban cities and improving citizens' convenience. This Smart-Platform is achieved by studying the City Data Hub technology to build and spread a Smart City Data Hub . Design/methodology/approach In this study, we analyzed the functions in detail and interlocking flows specific to the published City Data Hub module and designed a Smart-Platform with additional UI-based functions to improve users' convenience based on our previous experience. Findings The City Data Hub will provide a modular data hub platform functionality for application by different stakeholders. However, further research on detailed functionality and experience in interworking legacy systems will be required to apply the platform realistically. Therefore, we judged that this Smart-Platform, which supplements the City Data Hub with additional functions, would be useful for utilizing the City Data Hub in the future. Through the demonstration of the platform designed, it is also necessary to explore the direction of continuous development for the future.

• 한국항해항만학회지
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• 제40권2호
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• pp.73-82
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• 2016

With the advent of Internet era, e-commerce has become the focus of human's life. It leads a new direction of social development. As the representative of traditional industry, shipping industry is confronted with a series of difficulties, which have to break through the traditional and existing model to make their business for survival. With the increasing pricking up of market competition, shipping industry is now facing development bottle neck, but e-commerce provides a new way to solve the problem. This paper firstly describes the existing forms of the e-commerce shipping platform. Secondly analyzes the data for the situation of shipping industry in China, the data for expected functions of an e-commerce shipping platform and the data for how to choose a specific e-commerce shipping platform. Thirdly analyzes the potential risks of establishing e-commerce shipping platform in China. Based on the above researched, the paper provides a suggested model of the shipping e-commerce shipping platform in China.

• 한국멀티미디어학회논문지
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• 제18권9호
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• pp.1131-1139
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• 2015

The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.4227-4240
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• 2019

In this paper, we present our proposed magnetic induction based wireless communication system. The proposed system is designed to perform communication as well as distance measurement in underground environments. In order to improve the communication quality, we propose and implement the adaptive channel compensation technique. Based on the fact that the channel may be fast time-varying, we keep track of the channel status each time the data is received and accordingly compensate the channel coefficient for any change in the channel status. By using the proposed compensation technique, the developed platform can reliably communicate over distances of 10m while the packet error rate is being maintained under 5%. We also implement the distance measurement block that is useful for various applications that should promptly estimate the location of nearby nodes in communication. The distance between two nodes in communication is estimated by generating a table describing pairs of the magnetic signal strength and the corresponding distance. The experiment result shows that the platform can estimate the distance of a node located within 10m range with the measurement error less than 50cm.

• 공학교육연구
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• 제22권5호
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• pp.37-48
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• 2019

The government has tried to develop a platform for systematically collecting and managing engineering education data for policy proposals. However, there have been few cases of big data analysis platform for policy proposals in engineering education, and it is difficult to determine the major function of the platform, the purpose of using big data, and the method of data collection. This study aims to collect the cases of big data analysis systems for the development of a big data system for educational policy proposals, and to conduct a study to analyze cases using the analysis frame of key elements to consider in developing a big data analysis platform. In order to analyze the case of big data system for engineering education policy proposals, 24 systems collecting and managing big data were selected. The analysis framework was developed based on literature reviews and the results of the case analysis were presented. The results of this study are expected to provide from macro-level such as what functions the platform should perform in developing a big data system and how to collect data, what analysis techniques should be adopted, and how to visualize the data analysis results.

• 지식경영연구
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• 제20권1호
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• pp.155-174
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• 2019

Variety of data have been opened or connected by several levels of government. In smart city initiatives, open data become the source of a new business model. This paper is to foster ways of public open data (POD) by analyzing the start-up company that utilizes POD. In order to fulfill it, this paper adapts the case study research. Findings say that POD has potential to validate and further enrich the platform business. But to find which types of public open data are most prevalent is insufficient. To do this, it is more needed that sophisticated and many cases should be examined. However, this paper shows that platform business by using POD could lead to reduce the cost and increase the benefits for both providers and customers. From the findings, this paper shows that public open data has an important role not only to boost new venture creations which are prevalent ways of smart city but also to foster different platforms enabling new value capture and creation according to development of internet of things based on ICT technology.

• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.159-179
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• 2020

Purpose: We present a scientometric review of the literature on platform government to serve three primary purposes: First, to cluster researches on platform government based on the research issues; second, to identify the major papers, authors, and keywords in the domain; and third, to explore the promising research areas of platform government. Design/methodology/approach: We collected the platform government research from Web of Science, and analyzed 1,536 articles that was published during time span of 1998-2019. Next, co-citation networks are constructed and analyzed by using CiteSpace to visualize the domain clusters and dynamic research trends in the platform government domain. Findings: We identified 13 sub areas of the platform government research: global investigation, consumer product quality, digital agora, civic crowd funding, and open data use etc. We also visualize the top 20 references with the strongest citation bursts, co-authors network, co-occurring keyword network, and timeline of co-citation clusters.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1587-1596
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• 2016

This paper presents an interactive locomotion controller using motion capture data and inverted pendulum model. Most of the data-driven character controller using motion capture data have two kinds of limitation. First, it needs many example motion capture data to generate realistic motion. Second, it is difficult to make natural-looking motion when characters navigate dynamic terrain. In this paper, we present a technique that uses dimension reduction technique to motion capture data together with the Gaussian process dynamical model (GPDM), and interpolates the low-dimensional data to make final motion. With the low-dimensional data, we can make realistic walking motion with few example motion capture data. In addition, we apply the inverted pendulum model (IPM) to calculate the root trajectory considering the real-time user input upon the dynamic terrain. Our method can be used in game, virtual training, and many real-time applications.

• Spatial Information Research
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• 제23권2호
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• pp.59-68
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• 2015

1995년 이후 수행된 국가지리정보체계(NGIS) 사업에 따라 중앙정부와 지방자치단체는 많은 공간정보를 축적하였으며, 국토교통부는 2012년 1월 공간정보 오픈플랫폼(V-World) 서비스를 시작하여 다양한 기능과 서비스를 제공하고 있다. 하지만 사용자가 실질적으로 원하는 데이터와 민간의 비즈니스 영역에서 활용하기 위한 데이터 부재, 지자체에서의 활용 및 홍보 부족 그리고 민간협력 미흡 등의 난제로 국가 공간정보 플랫폼으로써의 확실한 돌파구를 찾지 못하고 있는 실정이다. 공간정보 오픈플랫폼이 서비스 된지 3년이 지난 현재의 연구동향을 분석하면, 주로 해외진출, 연계, 서비스개선, 활용, 향후전략에 대한 연구가 진행되어 왔다. 본 연구에서는 선진 해외의 공간정보 플랫폼 구축동향과 국내 연구동향을 분석하여, 신기술과 비즈니스 플랫폼의 개념, 서울시 공간정보 플랫폼 등을 종합하여 미래 공간정보 오픈 플랫폼의 구축을 위한 정책을 제시하고자 한다.