• Title/Summary/Keyword: 서비스산업 효율성

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A Study on Smart Grid and Cyber Security Strategy (지능형 전력망 도입과 사이버보안 전략)

  • Lee, Sang-Keun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.5
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    • pp.95-108
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    • 2011
  • Smart Grids are intelligent next generating Electric Power System (EPS) that provide environment-friendliness, high-efficiency, and high-trustworthiness by integrating information and communication technology with electric power technology. Smart grids help to supply power more efficiently and safely than past systems by bilaterally exchanging information between the user and power producer. In addition, it alleviates environmental problems by using renewable energy resources. However, smart grids have many cyber security risks because of the bilateral service, the increase of small and medium-sized energy resources, and the installation of multi-sensors or control devices. These cyber risks can cause critical problems within a national grid through even small errors. Therefore, in order to reduce these risks, it is necessary to establish a cyber security strategy and apply it from the developmental stage to the implementation stage. This thesis analyzes and recommends security strategy in order to resolve the security risks. By applying cyber security strategy to a smart grid, it will provide a stepping-stone to creating a safe and dependable smart grid.

The Effect of Patent Citation Relationship on Business Performance : A Social Network Analysis Perspective (특허 인용 관계가 기업 성과에 미치는 영향 : 소셜네트워크분석 관점)

  • Park, Jun Hyung;Kwahk, Kee-Young
    • Journal of Intelligence and Information Systems
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    • v.19 no.3
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    • pp.127-139
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    • 2013
  • With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

The Effect of the Recognition of Educational Training for Hotel Employees on Internalization and Job Commitment (호텔 종사원의 교육 훈련 인식이 내재화와 직무 몰입에 미치는 영향)

  • Lee, Mi-Suk;Jung, Dong-Ju;Choi, Sung-Woong;Kang, Dae-Hoon
    • Culinary science and hospitality research
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    • v.15 no.3
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    • pp.1-14
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    • 2009
  • One of the tasks given to the hotel business is to improve ES(Employee Satisfaction) through educational training for enhancing job efficiency and service quality, not product competition. In the current domestic field, however, ES(Employee Satisfaction) based on appropriate educational training hasn't been established yet. The purpose of this study is to verify the effect of educational training including recognizing the necessity of frequency, the level of lecture conscience, motivation, and internalization along with job commitment. The cohort of women(n=128, 44.4%) and men(n=160, 55.6%) was monitored by the questionnaire data from October 13th to 31st, 2007. It was assessed by (1) the recognition of educational training, (2) educational training practices, (3) organizational identification, (4) brand identification, and (5) job commitment. Statistical analysis was conducted using SPSS (Statistical Package for Social Science), data coding, and the data cleaning system. As a result, it was proved that frequency, the level of lecture conscience, motivation, the recognition of necessity are in proportion to brand identification and organization identification. In addition, identification through educational training can raise the efficiency of job commitment.

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A Study on the Major Microeconomic Factors for the Advertisement Market and the Financial Policy for Digital Contents (광고시장 규모결정 요인에 대한 미시경제학적 접근 및 콘텐츠 산업 재원정책 연구)

  • Byun, Sangkyu
    • Journal of Digital Contents Society
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    • v.13 no.4
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    • pp.591-600
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    • 2012
  • Variety media based on the digital technology have emerged from the beginning of the 21th century and have competed with the traditional media in the advertisement market. With the high dependency upon the advertisement market, the Korean media industry has the urgent demand to increase it's pie. Korea regulator allowed PPL and private representatives, which resulted in low outcome. This study analysed the decision factors for the advertising market with the cross-sectional microeconomic data for 28 countries in OECD. The service industry, tax and GDP per capita affect negatively to the market growth rate, and unemployment positively. Therefore the market's growth speed would be slow down and the share of TV decreased. Therefore the two policies were suggested, increasing the direct payment by the audiences and retire of the inefficient broadcasters.

Development of MPEG-4 Audio Streaming Player on Mobile Terminal with Embedded Linux Processor (내장형 리눅스 기반 이동 단말기에서의 MPEG-4 오디오 스트리팅 재생기의 구현)

  • Cha, Kyung-Ae
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.5
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    • pp.117-123
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    • 2008
  • In this paper, we develop MPEG-4 AAC streaming player on embedded Linux processor such as mobile terminals. Moreover we show the experimental results that the player preforms the decoding processes of MPEG-4 AAC data effectively. MPEG-4 AAC technology supports a wide range encoding rates and high sound quality so it is appropriate to adopt various applications. In particular, the need in the development of the application of audio data increases according to significantly increase in devices used in mobile environments, such as cell phones and PDAs. In this environment, it is necessary to optimize the decoding processes to the ability of the terminal hardware in order to play audio data without delays. We also implement the decoding module to optimize the processor capabilities and make the player to decode and play streaming audio data from streaming server.

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Design of Thin-Client Framework for Application Sharing & Optimization of Data Access (애플리케이션 공유 및 데이터 접근 최적화를 위한 씬-클라이언트 프레임워크 설계)

  • Song, Min-Gyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.5
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    • pp.19-32
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    • 2009
  • In this paper, we design thin-client framework capable of application sharing & data access on the Internet, and apply related skills, such as X windows system, pseudo server, CODA file system, MPI(Message Passing Interface). We suggest a framework for the thin client to access data produced by working on a server optimally as well as to run server side application, even in the case of network down. Additionally, it needed to reflect all local computing changes to remote server when network is restored. To design thin client framework with these characteristics, in this paper, we apply distributed pseudo server and CODA file system to our framework, also utilize MPI for the purpose of more efficient computing & management. It allows for implementation of network independent computing environment of thin client, also provide scalable application service to numerous user through the elimination of bottleneck on caused by server overload. In this paper, we discuss the implementing method of thin client framework in detail.

A Study on Low-noise Propeller Shape Design using Composite Material Molding Method (복합소재 성형공법을 이용한 저소음 프로펠러 형상 설계에 관한 연구)

  • Ungjin Oh;Jin-Taek Lim
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.1
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    • pp.39-45
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    • 2024
  • Recently, the paradigm of the aircraft industry, not only domestically but also globally, has been changing significantly starting with the era of the Fourth Industrial Revolution. With the convergence of new technologies such as ICT and AI, the drone market, centered around the military, is expanding its overall services to include the civilian market. Additionally, drones operate by being equipped with batteries, and for product lines that use batteries, lightening the product is one of the critical factors. This is because the lighter the aircraft, the less battery consumption and maximum efficiency. Therefore, recently, composite materials have been used to reduce the weight of the aircraft. To not only reduce weight but also achieve high functionality, it is being applied to most areas such as propellers, airframes, interior materials, floor plates, driving devices, and battery housings, and is emerging as a core technology. In this paper will utilize ceramic fiber composite materials, which have recently emerged for lightweight. It aims to improve noise and strength by targeting propellers, one of the most important factors in drones. In addition, the performance of the propeller developed through the low-noise design will be verified.

A Study on Policy Directions for Regional Development of North Korea (북한 지역개발 방향에 대한 연구)

  • Lee, Sang-Jun
    • Land and Housing Review
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    • v.6 no.2
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    • pp.101-106
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    • 2015
  • In order to minimize regional disparities between the North and the South, it is very important to reduce shortages of food and energy in North Korea in the short and mid-term. In the long term, it is important to reduce not only regional disparities between two Koreas but also regional disparities in North Korea. It is important to consider national policies of the North, the South and other countries in Northeast Asia in the process of building regional development policies for North Korea because the future of regional development in North Korea depends on policies of stakeholder in Northeast Asia. This study suggest some policy directions for regional development in North Korea. At first, building new industries, such as hi-tech industries and MICE, is important for regional development potentials in North Korea. Also, we should take some special development strategies according to regional potentials in North Korea. For example, Nampo region should be specialized through hi-tech industries. Wonsan region should be specialized through MICE. Finally, this study suggests some policy issues to the South Korean government. Financial support from South Korean government about inter-Korean economic cooperation should have priorities on the regions where have potentials of hi-tech industries and MICE. Also, we should implement inter-Korean economic cooperation policies under consideration about spatial aspects.

Technology Trends of Smart Abnormal Detection and Diagnosis System for Gas and Hydrogen Facilities (가스·수소 시설의 스마트 이상감지 및 진단 시스템 기술동향)

  • Park, Myeongnam;Kim, Byungkwon;Hong, Gi Hoon;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.41-57
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    • 2022
  • The global demand for carbon neutrality in response to climate change is in a situation where it is necessary to prepare countermeasures for carbon trade barriers for some countries, including Korea, which is classified as an export-led economic structure and greenhouse gas exporter. Therefore, digital transformation, which is one of the predictable ways for the carbon-neutral transition model to be applied, should be introduced early. By applying digital technology to industrial gas manufacturing facilities used in one of the major industries, high-tech manufacturing industry, and hydrogen gas facilities, which are emerging as eco-friendly energy, abnormal detection, and diagnosis services are provided with cloud-based predictive diagnosis monitoring technology including operating knowledge. Here are the trends. Small and medium-sized companies that are in the blind spot of carbon-neutral implementation by confirming the direction of abnormal diagnosis predictive monitoring through optimization, augmented reality technology, IoT and AI knowledge inference, etc., rather than simply monitoring real-time facility status It can be seen that it is possible to disseminate technologies such as consensus knowledge in the engineering domain and predictive diagnostic monitoring that match the economic feasibility and efficiency of the technology. It is hoped that it will be used as a way to seek countermeasures against carbon emission trade barriers based on the highest level of ICT technology.

Discovery of Market Convergence Opportunity Combining Text Mining and Social Network Analysis: Evidence from Large-Scale Product Databases (B2B 전자상거래 정보를 활용한 시장 융합 기회 발굴 방법론)

  • Kim, Ji-Eun;Hyun, Yoonjin;Choi, Yun-Jeong
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.87-107
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    • 2016
  • Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.