• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2377-2398
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• 2021

In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.59-75
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• 2019

This study was carried out to explore the 4th Industrial Revolution technology from the perspective of the landscape industry to provide the basic data necessary to increase the virtuous circle value. The 4th Industrial Revolution, the characteristics of the landscape industry and urban regeneration were considered and the methodology was established and studied including the technical classification system suitable for systematic research, which was selected as a framework. First, the 4th Industrial Revolution technology based on digital data was selected, which could be utilized to increase the value of the virtuous circle for the landscape industry. From 'Element Technology Level', and 'Core Technology' such as the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Robot, 'Peripheral Technology', Virtual or Augmented Reality, Drones, 3D 4D Printing, and 3D Scanning were highlighted as the 4th Industrial Revolution technology. It has been shown that it is possible to increase the value of the virtuous circle when applied at the 'Trend Level', in particular to the landscape industry. The 'System Level' was analyzed as a general-purpose technology, and based on the platform, the level of element technology(computers, and smart devices) was systematically interconnected, and illuminated with the 4th Industrial Revolution technology based on digital data. The application of the 'Trend Level' specific to the landscape industry has been shown to be an effective technology for increasing the virtuous circle values. It is possible to realize all synergistic effects and implementation of the proposed method at the trend level applying the element technology level. Smart gardens, smart parks, etc. have been analyzed to the level they should pursue. It was judged that Smart City, Smart Home, Smart Farm, and Precision Agriculture, Smart Tourism, and Smart Health Care could be highly linked through the collaboration among technologies in adjacent areas at the Trend Level. Additionally, various utilization measures of related technology applied at the Trend Level were highlighted in the process of urban regeneration, public service space creation, maintenance, and public service. In other words, with the realization of ubiquitous computing, Hyper-Connectivity, Hyper-Reality, Hyper-Intelligence, and Hyper-Convergence were proposed, reflecting the basic characteristics of digital technology in the landscape industry can be achieved. It was analyzed that the landscaping industry was effectively accommodating and coordinating with the needs of new characters, education and consulting, as well as existing tasks, even when participating in urban regeneration projects. In particular, it has been shown that the overall landscapig area is effective in increasing the virtuous circle value when it systems the related technology at the trend level by linking maintenance with strategic bridgehead. This is because the industrial structure is effective in distributing data and information produced from various channels. Subsequent research, such as demonstrating the fusion of the 4th Industrial Revolution technology based on the use of digital data in creation, maintenance, and service of actual landscape space is necessary.

• Journal of the Korean Regional Science Association
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• v.35 no.3
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• pp.59-76
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• 2019

This study aims to develop urban scenarios for future cities and validate the future city scenarios using a Delphi method. The scenarios of future city was derived from urban structure, land use, transportation, and urban infrastructure and development using big data analysis, environmental scanning techniques, and literature review. The Delphi survey interviewed 24 erudite scholars and experts across 6 nations including Korea, USA, UK, Japan, China, Australia and India. The Delphi survey structure was designed to test future city scenarios, verified by the 5-point Likert scale. The survey also asked the timing of each scenario likely happens by the three terms of near-future, mid-future and far-future. Results of the Delphi survey reveal the following points. Firstly, for the future urban structure it is anticipated that urban concentration continues and higher density living in global mega cities near future. In the mid-future small and medium size cities may decrease. Secondly, the land use pattern in the near-future is expected of increasing space sharing and mixed or layered vertical land-use. In addition underground space is likely to be extended in the mid-future. Thirdly, in the near-future, transport and infrastructure was expected to show ICT embedded integration platform and public and private smart transport. Finally, the result of Delphi survey shows that TOD (Transit Oriented Development) becomes a development norm and more emphasis on energy and environment fields.

• Journal of Korea Port Economic Association
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• v.40 no.2
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• pp.205-219
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• 2024

This study assesses Incheon Metropolitan City's potential as a global logistics hub amid intensified competition since the 2000s. Utilizing Importance-Performance Analysis(IPA), it evaluates competitive factors for logistics hub cities and Incheon's current positioning. The research identifies world-class infrastructure development and global city connectivity as key competitiveness factors. While Incheon, with its international airport and port, currently functions as a logistics hub, areas for improvement emerge. Recommendations include developing specialized cargo infrastructure for cold-chain and e-commerce, expanding the global network through multimodal transportation, and addressing gaps in smart and eco-friendly logistics. These suggestions encompass professional training, information platform establishment, and sector-wide decarbonization initiatives. The study's significance lies in its IPA-driven evaluation of competitiveness factors and Incheon's status, providing actionable recommendations for strategic planning to enhance the city's position as a global logistics hub.

• 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.