• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.163-169
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• 2019

Korea has the potential to lead the era of the Fourth Industrial Revolution, which succeeded in the information and communication revolution, including the establishment of an e-government. The Go match between humans and computers has led to the realization that humans are starting to live in a new era that they have never experienced before. In 2018, the Federation of Science and Technology Organizations conducted a recognition survey on "what is the most urgent thing?" in the era of the Fourth Industrial Revolution. As a result, it has been shown that the readjustment of the laws of science and technology is most urgent, so it is necessary to analyze the laws of science and technology. According to the research, more than 400 laws are diagnosed, and laws that serve as basic laws cannot lead the Fourth Industrial Revolution. The Framework Act on Science and Technology provides an emphasis on the promotion and management of R&D projects. When analyzing the regulations on 'Development of Science and Technology Innovation System', 'Basic Plan of Science and Technology', and 'Comprehensive Plan for Promotion of Local Science and Technology', there is no suggestion of the Fourth Industrial Revolution. After all, a comprehensive analysis of the current Framework Act on Science and Technology indicates that it is in effect the R&D and Management Act. The "Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee" poses the problem of defining parliamentary legislation as administrative legislation. 'In addition, if we analyze the Smart City Act, the lack of logical links with the Framework Act on Science and Technology and the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee is a major problem. In conclusion, in order to platform the Fourth Industrial Revolution, two improvements can be put forward. First, the Framework Act on Science and Technology shall be abolished to enact the National Research and Development Administration Act, and secondly, the Framework Act on the Fourth Industrial Revolution shall be enacted to absorb the contents of the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.49-60
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• 2017

Recently, the use of mashup that integrates real-time data with spatial data such as tiled map and satellite imagery has been increased significantly. As the use of mashup has been extended to various fields of O2O, LBS, Smart City, and Autonomous Driving, the performance of mashup has become more important. Therefore, this study aims to compare and analyze the performance of various map platforms, when large amounts of real-time data are integrated with spatial data. Specifically, we compare the performance of most popular map platforms available in Korea, such as Google Maps, OpenStreetMap, Daum Map, Naver Map, olleh Map, and VWorld. We also compare the performance using most common web browsers of Chrome, Firefox and Internet Explorer. In the performance analysis, we measured and compared the initialization time of basic map and the mashup time of real-time data for the above map platforms. From analysis results, we could find that Google Maps, OpenStreetMap, VWorld, and olleh Map platforms showed a better performance than the others.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.193-200
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• 2019

This study analyzes the current status and performance of regional industrial policy in the face of the weakening industrial competitiveness under the global trend of the 4th industrial revolution and suggests the policy direction that regional industrial policy as a new national growth strategy. This study focuses on the suggestion of new regional industrial policy framework under new policy environment based on literature review. We propose a new industrial policy framework that simultaneously pursues equality between regions and efficiency within the region at the same time. As a core policy recommendation, we suggest first, establishing the region-centered industrial policy governance, second, strengthening planning function of local government through human resource development and institutionalized national government consulting, and the third, constructing lifestyle industry-ecosystem based on cultural asset and identity of region, fourth, utilizing Smart City, as a platform for participatory innovation, entrepreneurial and capital attraction, and cultivating new industry based on public procurement and data. Main suggestions of this study would be a new guideline coping with the declining industrial competitiveness and the Fouth Industrial Revolution. Details would be necessary.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.45-52
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• 2014

The Ubiquitous-City (U-City) is a smart or intelligent city to satisfy human beings' desire to enjoy IT services with any device, anytime, anywhere. It is a future city model based on Internet of everything or things (IoE or IoT). It includes a lot of video cameras which are networked together. The networked video cameras support a lot of U-City services as one of the main input data together with sensors. They generate huge amount of video information, real big data for the U-City all the time. It is usually required that the U-City manipulates the big data in real-time. And it is not easy at all. Also, many times, it is required that the accumulated video data are analyzed to detect an event or find a figure among them. It requires a lot of computational power and usually takes a lot of time. Currently we can find researches which try to reduce the processing time of the big video data. Cloud computing can be a good solution to address this matter. There are many cloud computing methodologies which can be used to address the matter. MapReduce is an interesting and attractive methodology for it. It has many advantages and is getting popularity in many areas. Video cameras evolve day by day so that the resolution improves sharply. It leads to the exponential growth of the produced data by the networked video cameras. We are coping with real big data when we have to deal with video image data which are produced by the good quality video cameras. A video surveillance system was not useful until we find the cloud computing. But it is now being widely spread in U-Cities since we find some useful methodologies. Video data are unstructured data thus it is not easy to find a good research result of analyzing the data with MapReduce. This paper presents an analyzing system for the video surveillance system, which is a cloud-computing based video data management system. It is easy to deploy, flexible and reliable. It consists of the video manager, the video monitors, the storage for the video images, the storage client and streaming IN component. The "video monitor" for the video images consists of "video translater" and "protocol manager". The "storage" contains MapReduce analyzer. All components were designed according to the functional requirement of video surveillance system. The "streaming IN" component receives the video data from the networked video cameras and delivers them to the "storage client". It also manages the bottleneck of the network to smooth the data stream. The "storage client" receives the video data from the "streaming IN" component and stores them to the storage. It also helps other components to access the storage. The "video monitor" component transfers the video data by smoothly streaming and manages the protocol. The "video translator" sub-component enables users to manage the resolution, the codec and the frame rate of the video image. The "protocol" sub-component manages the Real Time Streaming Protocol (RTSP) and Real Time Messaging Protocol (RTMP). We use Hadoop Distributed File System(HDFS) for the storage of cloud computing. Hadoop stores the data in HDFS and provides the platform that can process data with simple MapReduce programming model. We suggest our own methodology to analyze the video images using MapReduce in this paper. That is, the workflow of video analysis is presented and detailed explanation is given in this paper. The performance evaluation was experiment and we found that our proposed system worked well. The performance evaluation results are presented in this paper with analysis. With our cluster system, we used compressed $1920{\times}1080(FHD)$ resolution video data, H.264 codec and HDFS as video storage. We measured the processing time according to the number of frame per mapper. Tracing the optimal splitting size of input data and the processing time according to the number of node, we found the linearity of the system performance.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.387-410
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• 2013

Due to the development of information technology, Convergence and Creative Economy became hot issues. For example, products become more intelligent and services are likely to be connected and integrated around core services or provided as bundle solution. Meanwhile products and services are integrated in the context of mutual supplementation, which leads to Servitization of Products and Productization of Services in many industries. Previous studies have addressed Convergence with different terms and definitions such as Convergent, Multicategory Multifunctional Product, Clouding Service, Bundle and so on from one perspective such as consumers, suppliers or technology according to a wide range of academic approaches. Thus, this study attempted to suggest the most typical convergence products released in the convergence environment and categorize those products. Furthermore, this study has pointed out the problems in the New Product Development Framework discussed in the studies on marketing by taking the situation of the public sector into account and then suggested "New Service Development Framework in the Public Sector" that are different from traditional e-Gov. approach basically and will enable the government to create public information service and provide them to enterprises or citizens. It also emphasized the importance of Business Conceptualization Stage in the framework; argued that there is a necessity of an integrative study from the perspective of technology on the basis of the approach from the perspective of marketing and Policy such as a study of consumer behaviors, design and marketing channel and Policy Integration for the development and dissipation; and furthermore suggested the cases-the development/Diffusion of Transportation Card Service in Seoul and CFC (Call for Collaboration) in Singapore-in order to verify the framework. There is a need to supplement New Service Development Framework so it is able to reflect the distinct characteristics of the public sector from the academic perspective and be used as practical guidelines for SI (System Integration) business to shift into IT Service business. Last but not the least, this study has suggested the limitations and the directions for the future studies.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.37-48
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• 2020

This study aimed at understanding trends of living lab studies and deriving implications for directions of the studies by utilizing text mining. The study included network analysis and topic modelling based on keywords and abstracts from total 166 thesis published between 2011 and November 2019. Centrality analysis showed that living lab studies had been conducted focusing on keywords like innovation, society, technology, development, user and so on. From the topic modelling, 5 topics such as "regional innovation and user support", "social policy program of government", "smart city platform building", "technology innovation model of company" and "participation in system transformation" were extracted. Since the foundation of KNoLL in 2017, the diversification of living lab study subjects has been made. Quantitative analysis using text mining provides useful results for development of living lab studies.

• Smart Structures and Systems
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• v.6 no.5_6
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• pp.595-618
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• 2010

This paper describes the application of a wireless sensor network to a 31 meter-tall medieval tower located in the city of Trento, Italy. The effort is motivated by preservation of the integrity of a set of frescoes decorating the room on the second floor, representing one of most important International Gothic artworks in Europe. The specific application demanded development of customized hardware and software. The wireless module selected as the core platform allows reliable wireless communication at low cost with a long service life. Sensors include accelerometers, deformation gauges, and thermometers. A multi-hop data collection protocol was applied in the software to improve the system's flexibility and scalability. The system has been operating since September 2008, and in recent months the data loss ratio was estimated as less than 0.01%. The data acquired so far are in agreement with the prediction resulting a priori from the 3-dimensional FEM. Based on these data a Bayesian updating procedure is employed to real-time estimate the probability of abnormal condition states. This first period of operation demonstrated the stability and reliability of the system, and its ability to recognize any possible occurrence of abnormal conditions that could jeopardize the integrity of the frescos.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.3138-3151
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• 2022

Traffic safety and congestion are becoming more and more serious, especially the frequent occurrence of traffic accidents, which have caused great casualties and economic losses. Cellular Vehicle to Everything (C-V2X) can assist in safe driving and improve traffic efficiency through real-time information sharing and communication between vehicles. All vehicles communicate directly with Base Stations (BS), which will increase the base station load. And when the communicating vehicles are too far apart, too fast or there are obstacles in the communication path, the communication link can be unstable or even interrupted. Therefore, choosing an effective and reliable multi-hop relay-assisted Vehicle to Vehicle (V2V) communication can not only reduce the base station load and improve the system throughput but also expand the base station coverage and improve the communication quality of edge vehicles. Therefore, a communication area division scheme based on regular hexagon segmentation technology is proposed, a relay-assisted V2V communication mechanism is designed for the divided communication areas, and an efficient communication link is constructed by selecting the best relay node. Simulation results show that the scheme can improve the throughput of the system by nearly 55% and enhance the robustness of the V2V communication link.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.193-204
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• 2022

The 2018 Seoul Zero Pay is a policy actively promoted by the government as an economic stimulus package for small business owners and the self-employed who are experiencing economic depression due to COVID-19. However, the controversy over the effectiveness of Zero Pay continues even after two years have passed since the implementation of the policy. Zero Pay is a joint QR code mobile payment service introduced by the government, Seoul city, financial companies, and private simple payment providers to reduce the burden of card merchant fees for small business owners and self-employed people who are experiencing economic difficulties due to the economic downturn., it was attempted in the direction of economic revitalization for the return of alleyways[1]. Therefore, this study intends to draw implications for improvement measures so that the ongoing zero-pay can be further activated and the economy can be settled normally. The analysis results of this study are as follows. First, it shows the effect of increasing the income of small business owners by inducing consumption in alleyways through the economic revitalization policy of Zero Pay. Second, the issuance and distribution of Zero Pay helps to revitalize the local economy and contribute to the establishment of a virtuous cycle system. Third, stable operation is being realized by the introduction of blockchain technology to the Zero Pay platform. In terms of academic significance, the direction of Zero Pay's policies and systems was able to identify changes in the use of Zero Pay through big data analysis. The implementation of the zero-pay policy is in its infancy, and there are limitations in factors for examining the consumer image perception of zero-pay as there are insufficient prior studies. Therefore, continuous follow-up research on Zero Pay should be conducted.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.354-354
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• 2020

최근 기후변화로 인하여 극한 강우사상이 증가하고 있으며, 이에 대한 재해 위험도도 커지고 있는 추세이다. 서낙동강 지역에서는 부산 에코델타 스마트시티 조성사업이 2023년 완공을 목표로 개발을 진행 중이다. 부산 에코델타 스마트시티는 대저수문과 녹산수문이 각각 상/하류에 위치하고 있으며, 스마트시티가 위치한 좌안에는 평강천이 유입하고 우안에는 대감천, 예안천, 주중천, 신어천, 금천천, 조만강 및 지사천이 유입하고 있다. 스마트시티의 대저수문과 녹산수문 구간은 4월-10월 기간 동안 주변지역 농업용수 공급을 위하여 하계의 일시적인 방류를 제외하면 연중 담수가 이루어지는 전형적인 하천형 저수지의 특성을 가지고 있다. 낙동강의 홍수예보는 낙동강의 본류 구간만을 대상으로 수행하고 있으며, 스마트시티 구간은 주로 수질에 관한 연구가 수행되어 왔다. 그러나 스마트시티의 조성과 함께 서낙동강 구간의 홍수 영향 분석의 필요성이 제기되고 있으나 스마트시티 하천구간을 대상으로 한 홍수분석은 거의 수행된 바가 없다. 본 연구에서는 부산에코델타 스마트시티 구간을 대상으로 시나리오 기반의 홍수분석을 수행할 수 있는 웹기반 통합플랫폼을 개발하였다. 홍수분석에 필요한 자료는 에코델타 스마트시티 개발계획을 기반으로 단기유출모의, 하천흐름모의 및 도시유출모의를 연계하여 분석을 실시할 수 있도록 하였다. 홍수분석을 실시함에 있어 대상 하천구간의 농업용수이용, 수문조작 기준을 고려하였다. 단기유출모의는 홍수통제소의 유출분석을 위하여 사용되는 저류함수법을 적용하였으며, 하천흐름 모의는 미국 공병단에서 개발한 HEC-RAS모형을 적용하였으며, 하천흐름모형의 결과를 미국 환경청(EPA) 도시유출모형인 SWMM과 연계할 수 있도록 하였다. 대상 구간의 하천 취수량을 산정하기 위하여 일별 담수심추적법을 활용한 논 농업용수 수요량을 산정하여 반영하고, 농업용수 수요량에 따른 저수량과 수문운영 룰을 고려하였다. 또한 부산에코델타 스마트시티의 개발에 따른 상태 변화를 반영할 수 있도록 웹기반으로 사용자가 시나리오를 설정하고 각 모형의 입력자료와 매개변수를 조정할 수 있도록 하였다. 본 연구의 결과는 부산에코델타 스마트시티의 개발에 있어 홍수위험을 분석 및 평가하는데 활용될 수 있을 것으로 판단되며, 이를 활용하여 홍수에 안전한 부산에코델타 스마트시티를 만들 수 있을 것으로 기대된다.