• Title/Summary/Keyword: Platform management

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Analysis of Factor's Priority for Activating the Industry of Global Content Distribution (글로벌 콘텐츠 유통산업 활성화 요인 중요도 분석)

  • Park, Chang-Mook;Jang, Hyung-Jun;Koh, Chan;Kim, Kwang-Ho
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.11-20
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    • 2014
  • Recently K-POP's popularity and the success story of 'Psy' suggests that Korean Culture can get the possibility of entry into the global major market. Increasing the purchasing power of global contents distribution also shows that the delivery of cultural content can be a big business model to create economic benefits. However, for sustainable diffusion of Korean culture, we need efforts to expand the business scope to the global market like the establishment of global distribution platform. In this study, we investigated key factors for activating the global content distribution and then analyzed priority of importance of the factors to be utilized the strategic alternatives using AHP method. To ensure the reliability of the study, experts (30patients) who worked more than 10 years of relevant work were included as population of the questionnaire. The results of analysis, the relative importance of content aspects were higher than technical aspects and policy aspects. In the analysis of the importance of the second layer factors, the business models of policy aspects were analyzed as a factor of top priority, then high-quality content production was selected as an important factor of the next higher ranks.

A Study of a User's Continuous Usage Behavior in a Mobile Data Service Platform: The Roles of Perceived Fee and Perceived Anxiety (모바일 데이터 서비스 플랫폼에서 지속사용 행동에 관한 연구: 재무적 비용과 정신적 비용의 역할 관점에서)

  • Kim, Byoung-Soo;Lee, Jong-Won;Kang, Young-Sik
    • Information Systems Review
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    • v.12 no.1
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    • pp.209-227
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    • 2010
  • One type of innovative multimedia platform environments is mobile data services (MDS), exemplified by Nate, Show, and OZ. In the context of MDS, enhancing user's continuance intention is a significant challenge to the continuing growth and long-term viability of MDS. Because the cost of using MDS is borne mainly by users, they are likely to evaluate it based on perceptions of what is received and what is given. This study identifies perceived usefulness and perceived enjoyment as the 'get'components, and perceived fee and perceived anxiety as the 'give' components. To understand the role of get and give components in the MDS post-adoption environment, this study incorporates these components into expectation confirmation model. We collected data from 204 users who had direct experiences with MDS within recent 3 months. The data was analyzed by employing PLS (partial least squares). Theoretical and practical implications of our findings are discussed.

Android Based Mobile Combination Login Application (안드로이드 기반 모바일 통합로그인 애플리케이션)

  • Lim, Jung-Gun;Choi, Chang-Suk;Park, Tae-Eun;Ki, Hyo-Sun;An, Beongku
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.151-156
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    • 2013
  • Android that was made by Google and Open Handset Alliance is the open source software toolkit for mobile phone. In a few years, Android will be used by millions of Android mobile phones and other mobile devices, and become the main platform for application developers. In this paper, the integrated login application based on Google's Android platform is developed. The main features of the mobile combination login application content based on Android are as follows. First, the application has more convenient login functionality than the functionality of general web browser as the web browser of the mobile-based applications(web browser style applications) as well as security features and faster screen(view) capability by reducing the amount of data transfer. Second, the application is so useful for management of ID and Password, and it can easily manage multiple ID information such as message, mail, profile. The results of performance evaluation of the developed application show the functionality that can login many kinds of portal sites simultaneously as well as the ability that can maintain login continuously. Currently, we are trying to develope a couple of the technologies that can insert multiple accounts into one ID and check all information on one screen.

A Framework to Develop Safe and Reliable SaaS Certification Systems (안전하고 신뢰할 수 있는 SaaS(Software as a Service) 인증제도 개발을 위한 프레임워크)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.523-528
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    • 2012
  • The recent appearance and evolution of cloud service including IaaS(Infrastructure as a Service), PaaS(Platform as a Service) and SaaS(Software as a Service) is potentially one of the major advances in information and communication technology. While a lot of studies are currently taking place in the technology itself, there is an equally urgent need for understanding and researching the business-related issues surrounding cloud service. As more and more individuals and companies use the cloud service, their concerns are beginning to grow about just how safe and reliable an environment it is. This paper focus on SaaS as an one of the important cloud service. For successful implementation of SaaS service, it is necessary to establish the certification systems to ensure safety and reliability of SaaS. This paper provides the safe and reliable framework for systematic SaaS certification systems. In order to develop it, the critical issues related to service quality and certification of SaaS service are identified and the systematic framework for certification systems of SaaS service and service provider domains are developed. An evaluation methodology for the developed certification systems is also proposed.

The Genealogical Study on SWIFTNet Trade Service Utility and Bank Payment Obligation (SWIFTNet TSU BPO의 계보학적 연구)

  • Lee, Bong-Soo
    • International Commerce and Information Review
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    • v.18 no.3
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    • pp.3-21
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    • 2016
  • The thesis examines genealogical study of various aspects to overcome lots of problems which come by when we execute SWIFTNet TSU BPO. Practical implications regarding the innovation of electronic trade infrastructure are as follows. First, the shipping documents in the SWIFTNet TSU BPO are directly sent to an importer by an exporter after the baseline is confirmed. With this process itself, therefore, the bank cannot secure the account receivable. When initiating the SWIFTNet TSU BPO deal, it is needed to set regulations on the bank's account receivable security in the contract. Second, the SWIFTNet TSU BPO should also have an institutionally unified sharing platform with security, stability and convenience. It other words, it is needed to develop services which meet e-payment paradigm and international environments through continued analysis on market changes and flow. Third, the SWIFTNet TSU is useful in terms of promptness, reduction of risk in foreign exchange payment, cost reduction. Therefore, the SWIFT should be perfectly united and linked among the banks, importer and exporter to make the SWIFTNet TSU more convenient in countries around the world. Fourth, the SWIFT should be approached from the aspect of expansion of network and creation of a new business model through analysis on these problems with a worldwide perspective. At the same time, it is necessary to build a cooperative system to share information and promote comprehensive management for efficient operation.

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X-TOP: Design and Implementation of TopicMaps Platform for Ontology Construction on Legacy Systems (X-TOP: 레거시 시스템상에서 온톨로지 구축을 위한 토픽맵 플랫폼의 설계와 구현)

  • Park, Yeo-Sam;Chang, Ok-Bae;Han, Sung-Kook
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.2
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    • pp.130-142
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    • 2008
  • Different from other ontology languages, TopicMap is capable of integrating numerous amount of heterogenous information resources using the locational information without any information transformation. Although many conventional editors have been developed for topic maps, they are standalone-type only for writing XTM documents. As a result, these tools request too much time for handling large-scale data and provoke practical problems to integrate with legacy systems which are mostly based on relational database. In this paper, we model a large-scale topic map structure based on XTM 1.0 into RDB structure to minimize the processing time and build up the ontology in legacy systems. We implement a topic map platform called X-TOP that can enhance the efficiency of ontology construction and provide interoperability between XTM documents and database. Moreover, we can use conventional SQL tools and other application development tools for topic map construction in X-TOP. The X-TOP is implemented to have 3-tier architecture to support flexible user interfaces and diverse DBMS. This paper shows the usability of X-TOP by means of the comparison with conventional tools and the application to healthcare cancer ontology management.

Building an Analytical Platform of Big Data for Quality Inspection in the Dairy Industry: A Machine Learning Approach (유제품 산업의 품질검사를 위한 빅데이터 플랫폼 개발: 머신러닝 접근법)

  • Hwang, Hyunseok;Lee, Sangil;Kim, Sunghyun;Lee, Sangwon
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.125-140
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    • 2018
  • As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.

Design and Implementation of Factory Equipment Monitoring System using Grid-based Key Pre-Distribution (그리드 기반 키 선분배 방식을 사용하는 공장 설비 모니터링 시스템 설계 및 구현)

  • CHO, YANGHUI;PARK, JAEPYO;YANG, SEUNGMIN
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.51-56
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    • 2016
  • In this paper, we propose an Arduino-based plant monitoring system. The proposed system is based on the Arduino platform, using an environmental sensor and a pressure sensor for measuring temperature, humidity and illuminance in order to monitor the state of the environment and the facilities of the plant. Monitoring data are transmitted to a ZigBee coordinator connected to a server through a radio frequency transceiver. When using a pressure sensor and the environment sensor data stored on the host server, checking the pressure in the environment of the plant and equipment is intended to report any alarm status to the administrator. Using a grid line-based key distribution scheme, the authentication node dynamically generates a data key to protect the monitoring information. Applying a ZigBee wireless sensor network does not require additional wiring for the actual implementation of a plant monitoring system. Possible working-environment monitoring of an efficient plant can help analyze the cause of any failure by backtracking the working environment when a failure occurs. In addition, it is easy to expand or add a sensor function using the Arduino platform and an expansion board.

A Study on Critical Factor of Selecting Online Video Flatform by Using AHP (AHP 기법을 활용한 온라인 동영상 플랫폼의 선택 속성 연구)

  • Park, Seonho;Lee, Dasol;Park, Sohyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.4
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    • pp.173-182
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    • 2019
  • This study attempts to improve the understanding of the rapidly growing online video platform market such as Youtube and OTT, and to investigate the attributes and relative importance of them. For this purpose, the factors that influence the choice to use were derived through literature studies and the Focus Group Interview (FGI), and the priority of the factors was calculated through the analytic hierarchy process (AHP). The upper layer of the AHP structure was 'Relationship', 'Entertainment', 'Informativity', and 'Convenience', and the lower layer was structured into 13 elements. The importance priority analysis among the factors that influence the choice to use was done by teenagers, 20s, and 30s and the results are summarized as follows : First, Users consider the 'Just for fun' and 'Satisfaction of interests' as the most important factors, followed by 'Easy accessibility to use', 'Vicarious satisfaction', 'Usefulness of Information', and 'Up-to-dateness of information'. Second, the ranking of the upper layer was in the order of 'Entertainment'-'Informativity'-'Convenience'-'Relationship'.As a result of AHP,'Entertainment' was 3.6 times more important than 'Relationship'. In the comparison by age group, only teenagers regarded that 'Convenience' is more important than 'Informativity'. According to the characteristics of the age group, the lower layer of teenagers consider 'Convenient function' to be important and ranked 'Usefulness of information' in 8th. While 'Vicarious satisfaction' ranked 4th out of 13 factors in the entire age group, those in their 20s and 30s ranked 8th, showing a difference. In the case of 20s, 'Reasonable price' was ranked 4th and the 'Diversity of Information' was ranked 5th, Otherwise 30s consider 'Trustworthiness of Information' to the third. Third, unlike 'Convenience' which was the lower-rank in the upper layer AHP analysis, 'Easy accessibility to use', the lower-layer of convenience, ranked third overall in the importance analysis among the 13 lower-layer factors, and showed a similar patterns in the age groups results. In the conclusion, this study demonstrates that 'Convenience' and 'Vicarious satisfaction' factors, which were not relatively well addressed in the previous studies, are the key factors to be considered in. By presenting the results of the importance analysis on each of the selected attributes, This study has a practical implication that Industries such as on-line video service platform provider can use the importance priority in establishing the directions of future strategy.

Experiencing with Splunk, a Platform for Analyzing Machine Data, for Improving Recruitment Support Services in WorldJob+ (머신 데이터 분석용 플랫폼 스플렁크를 이용한 취업지원 서비스 개선에 관한 연구 : 월드잡플러스 사례를 중심으로)

  • Lee, Jae Deug;Rhee, MoonKi Kyle;Kim, Mi Ryang
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.201-210
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    • 2018
  • WorldJob+, being operated by The Human Resources Development Service of Korea, provides a recruitment support services to overseas companies wanting to hire talented Korean applicants and interns, and support the entire course from overseas advancement information check to enrollment, interview, and learning for young job-seekers. More than 300,000 young people have registered in WorldJob+, an overseas united information network, for job placement. To innovate WorldJob+'s services for young job-seekers, Splunk, a powerful platform for analyzing machine data, was introduced to collate and view system log files collected from its website. Leveraging Splunk's built-in data visualization and analytical features, WorldJob+ has built custom tools to gain insight into the operation of the recruitment supporting service system and to increase its integrity. Use cases include descriptive and predictive analytics for matching up services to allow employers and job seekers to be matched based on their respective needs and profiles, and connect jobseekers with the best recruiters and employers on the market, helping job seekers secure the best jobs fast. This paper will cover the numerous ways WorldJob+ has leveraged Splunk to improve its recruitment supporting services.