• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.779-788
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• 2013

With a wide dissemination of smartphones, the number of native applications developed and sold freely by anyone is growing now. The application market activated by Apple's App Store is spreading more rapidly with Google's Google Play. But due to platform-dependent of native application's attribute, developers are programming at each platform. As a result, development cost is increasing compared to earnings. To solve a dependency problem, people focused on web application developed by web-based language. However, stores at each browser are requiring a web application to follow manifest format. And this causes browser-dependent problem. Those problems can be solved by installing a certain browser, but this can make an application useless on the other browser of a store. Dependency problem can narrow not only user's application variation, but also concentration on some specific store. OWS(Open Web Store) is a standard store that supports various web environments. It overcomes browser or platform dependency problems by interworking applications between stores. Also customers are able to choose a large number of applications. In this paper, related to OWS, I would like to suggest manifest standards and store's reference architecture. An interworking scenario is going to be proposed as well.

• Journal of Creative Information Culture
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• v.6 no.1
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• pp.15-21
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• 2020

In order to utilize big data in general industrial sites, the structured big data collected from facilities, processes, and environments of industrial sites must first be processed and stored, and in the case of unstructured data, it must be stored as unstructured data or converted into structured data and stored in a database. In this paper, we study a method of collecting big data based on open IoT standards that can converge and utilize measurement information, environmental information of industrial sites to collect big data. The platform for collecting big data proposed in this paper is capable of collecting, processing, and storing big data at industrial sites to process real-time sensing information. For processing and analyzing data according to the purpose of the stored industrial, various big data technologies also can be applied.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.10
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• pp.479-486
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• 2017

Recently, GPGPU has been able to increase the degradation of computer performance, and it is now possible to run physically based real-time simulations on PCs that require high computational complexity. Physical calculations applied in physics simulation can be performed by parallel processing, and can be efficiently performed using parallel computation using Compute shader recently supported by OpenGL 4.3 and Unity 4.0. In this paper, we measure and compare the number of performance in real - time physics simulation in OpenGL running on various platforms and Unity, a content creation tool supporting various platforms. Particle simulation experiments show that particle simulation using Unity performs faster than 136.04%. It is expected that it will be able to select better development tools for future multi - platform support.

• Spatial Information Research
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• v.22 no.6
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• pp.23-32
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• 2014

Recently, Korea government make an effort to make jobs through public information disclosure and a public-private partnerships. In this regard, the MOLIT (Ministry of Land, Infrastructure and Transport) is pushing the V-World Business. The V-World is the public platform for the government to disclose spatial and adminstration information. However, the V-World is still not been able to fulfill the role of a public platform, private partnerships window, Warehouse jobs. So, the molit is promoting the V-World advanced project, creating a long-term plan. This study performed a user satisfaction survey and analysis, this result are used as a basis data of the efficient execution of the V-World advanced project and creating long-term planning. Also, we suggested V-World Service Improvement, Open API Service Improvement, future service direction. This study improve the current the V-World, will be utilized as basic data of improving utilization of the use.

• KNOM Review
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• v.21 no.2
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• pp.35-45
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• 2018

As Network Slicing functionality gets applied to mobile networking, a mechanism that enables the selection of network slices becomes indispensable. Following the 3GPP Technical Specification for the 5G Architecture, the inclusion of the Network Slice Selection Function (NSSF) in order to leverage the process of slice selection is apparent. However, actual implementation of this network function needs to deal with the dynamic changes of network instances, due to this, a platform that supports the orchestration of Virtual Network Functions (VNF) is required. Our proposed solution include the use of the Central Office Rearchitected as a Data Center (CORD) platform, with the specified profile for mobile networks (M-CORD) that integrates a service orchestrator (XOS) alongside solutions oriented to Software Defined Networking (SDN), Network Function Virtualization (VNF) and virtual machine management through OpenStack, in order to provide the right ecosystem where our implementation of NSSF can obtain slice information dynamically by relying on synchronization between back-end services and network function instances.

• International Commerce and Information Review
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• v.15 no.2
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• pp.387-410
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• 2013

The competition aspect of business has been transformed from competition among companies to competition among ecosystem, and has been grown to platform based business, which is defined as ecosystem among business. Coming to the spotlight with the advantages of platform business combined software and hardware like Apple, platform business have been emerging in many fields. In this research, we define platform and platform based business, and then review related researches. After this, we review four representative research methodologies which are Yin(2011)' s case analysis research, Eisenhardt(2007)' s case analysis research, Romano etc' s web based qualitative data analysis method(2003), and Creswll(2010)' s open coding technique. And then, we suggest this research' s natural methodology combined with the advantages of four research methodologies. Based on our research methodology, we choose three high commercialized categories, which are smartphone platform business, social platform business, and search engine platform business. And then, we choose seven companies in three categories with success cases & failure cases, and analysis each case in perspective of our research methodology. And then, we suggest critical success & failure elements. Based on our findings, we suggest three strategic elements for the longevity of platform based business. Finally, we suggest the limitations of our research and further research issues.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.85-93
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• 2019

Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.467-474
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• 2024

This study analyses customer data from a US online lending platform to empirically document the discriminatory treatment that low- and middle-income borrowers face in financial markets. Researchers are using financial data from nearly 2.93 million loans between 2007~2020 of the Lending Club on the open-source Kaggle platform. We find that thin-filers borrowers, especially those with lower credit scores, receive loans at higher interest rates. This discriminatory treatment undermines financial inclusion and has the potential to increase social inequality. The significance of this research is that it sheds substantial light on the problem of inequality in financial markets and, based on the findings, suggests concrete measures to ensure equitable access to finance for all customers and enhance sustainable financial inclusion. In doing so, we propose a shift towards enhancing the social responsibility of institutions.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.1-8
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• 2009

The u-GIS national land information providing technology is the technology which maximizes the application of u- GIS data through the national land information platform technique of the next generation web and provides a user with the on-demand national land information in the ubiquitous environment. Recently, as the environment emphasizing the web as a platform 'Web 2.0' emerges, the where 2.0 which is paradigm is diffused in the spatial information area. And the Geo-spatial Web technology develops in a center. Moreover, it is changed to the open platform of the user participation trend. And the consumer of the geo-spatial information is changed to the end-user center from the public institution. The geo-spatial technique is technologically faced with the new challenge. In this paper, we analyze the technical tendency about a paradigm, And we present the u-GIS national land information platform technique, the u-GIS national land information visualization technology, the u-GIS national land information GeoDRM integrative technique, and the u-GIS national land information mobile application technology as the essential elemental technology for overcoming this.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.37-43
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• 2022

This study is a sustainability study of K-Music beyond K-Pop through New Media. New media literally means 'new media'. When TV, classified as legacy media, first appeared in the world, it was an innovative new media platform. Of course, it is considered the most traditional legacy media. However, the definition of new media inevitably changes with the times. Most of the media called new media today are based on online and mobile. This thesis focuses on popular music including crossover traditional music genre. And we define popular music exported abroad as K-pop, and propose the possibility of globalization of Korean music using K-pop users and new media, a metaverse based K-pop audition platform, as consumers and suppliers in the global market. Hallyu, the studying of K-Pop through the study of attitudes and economic effects of K-pop, such as reactions to the spread of K-pop and the reactions of fans who like K-pop, are constantly being discussed in various ways. But there has been no case of cultural technology research that linked the sustainability of Gugak as the Korean music through new media to the K-pop business platform. As the overflowing data pours out in the virtual space as an act that gives the meaning of existence, the online is able to become an open market that provides reliable information all over the world. Therefore we would like to propose on the sustainability of Korean music through the 'Korean Traditional Music Broadcasting Metaverse Audition' beyond the K-pop business model as the K-Music content in the cultural technology era.