• Title/Summary/Keyword: Research data

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Network-based Cooperative TV Program Production System

  • H.Sumiyoshi;Y.Mochizuki;S.Suzuki;Y.Ito;Y.Orihara;N.Yagi;Na, M.kamura;S.Shimoda
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.75-81
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    • 1997
  • A new DTPP (Desk-Top Program Production) system has been developed that enables multiple program producers (directors) working at different locations to collaborate over a computer network and prepare a single program for broadcasting. In this system, information is shared among users by exchanging data edited on non-linear editing terminals in program post-production work over a network in real time. In short, the new DTPP system provides a collaborative work space for producing TV programs. The system does not make use of a special server for collaborative work but rather multiple interconnected editing terminals having the same functions. In this configuration, data at a terminal which has just been edited by some operation is forwarded to all other connected terminals for updating. This form of information sharing, however, requires that some sort of data synchronizing method be established since multiple terminals are operating on the same data simultaneously. We therefore adopt a method whereby the system synchronizes the clocks on each terminal at the time of connection and sends an operation time stamp together with edited data. This enables most recently modified data to be identified and all information on all terminals to be updated appropriately. This paper provides an overview of this new collaborative DTPP system and describes the techniques for exchanging edited data and synchronizing data.

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Big Data in Smart Tourism: A Perspective Article

  • Park, Sangwon
    • Journal of Smart Tourism
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    • v.1 no.3
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    • pp.3-5
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    • 2021
  • The advancement of Information Communication Technology has provided tourism researchers with a golden opportunity to access big data, which plays a critical role in smart tourism. Recognizing the current issue, this paper discusses the evolution of the literature on tourism big data focusing on conceptual understanding of and types of big data, and insights from big data analytics. Indeed, this article provides important research agenda for future tourism researchers who would like to conduct academic research about big data and smart tourism.

Establishing Application System of KOMPSAT-1

  • Park, Gi-Hyuk;Lee, Joo-Hee;Paik, Hong-Yul
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.198-203
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    • 1999
  • Korea Multi-Purpose Satellite-1 (KOMPSAT-1) is developed by the Korea Aerospace Research Institute (KARI) with the aid of TRW and will be launched on the Nov. 24, 1999 at the Vandenberg Air Base in CA, U.S, Now, the satellite application group in KARI is preparing for the service with the KOMPSAT-1 satellite data. For the purpose of supplying good service to the users, data application planning has to be established before launching satellite. To use satellite data effectively, KARI makes a plan for data policy, data price, mission planning, and commercializing strategy. This study was carried out with the purpose of effective use of satellite data. For this purpose, KARI makes a user group first. There are 58 user groups to use KOMPSAT-1 data for public welfare and research sectors. These user groups include government, public corporations, institutes, and universities. KARI will offer the service to users through online using Internet. Secondly, KARI makes a policy for the priority of KOMPSAT-1 missions. These are classified by the mission priority, payloads, and operational states etc. Thirdly, KARI will make data policy and data price of KOMPSAT- 1 based on the basic master 1)tan. Especially, data price will be determined at trte KOMPSAT-1 committee including Ministry of Science and Technology (MOST). KARI is also trying to commercialize the data with the domestic and foreign companies to expand the use of KOMPSAT-1 data in the industries sector. Afterward in this study, KARI will continue the improvement for the effective distribution of KOMPSAT-1 data for all users.

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IMAGE DATA CHAIN ANALYSIS FOR SATELLITE CAMERA ELECTRONIC SYSTEM

  • Park, Jong-Euk;Kong, Jong-Pil;Heo, Haeng-Pal;Kim, Young-Sun;Chang, Young-Jun
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.791-793
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    • 2006
  • In the satellite camera, the incoming light source is converted to electronic analog signals by the electronic component for example CCD (Charge Coupled Device) detectors. The analog signals are amplified, biased and converted into digital signals (pixel data stream) in the video processor (A/Ds). The outputs of the A/Ds are digitally multiplexed and driven out using differential line drivers (two pairs of wires) for cross strap requirement. The MSC (Multi-Spectral Camera) in the KOMPSAT-2 which is a LEO spacecraft will be used to generate observation imagery data in two main channels. The MSC is to obtain data for high-resolution images by converting incoming light from the earth into digital stream of pixel data. The video data outputs are then MUXd, converted to 8 bit bytes, serialized and transmitted to the NUC (Non-Uniformity Correction) module by the Hotlink data transmitter. In this paper, the video data streams, the video data format, and the image data processing routine for satellite camera are described in terms of satellite camera control hardware. The advanced satellite with very high resolution requires faster and more complex image data chain than this algorithm. So, the effective change of the used image data chain and the fast video data transmission method are discussed in this paper

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A Study on a Way to Utilize Big Data Analytics in the Defense Area (국방분야 빅데이터 분석의 활용가능성에 대한 고찰)

  • Kim, Seong-Woo;Kim, Gak-Gyu;Yoon, Bong-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.2
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    • pp.1-19
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    • 2014
  • Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

Data Life Cycle Proposal for Research Data Management (연구 데이터 관리를 위한 데이터 라이프 사이클 제안)

  • Kim, Juseop;Kim, Suntae;Jeon, Yerin
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.309-340
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    • 2019
  • Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are 'Plan', 'Create & Collect', 'Process', 'Preserve', 'Dispose', 'Access & Use', 'Describe', 'Assure' and 'Backup & Secure'. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.

Calculation Method of Dedicated Transmission Line's Meteological Data to Forecast Renewable Energy (신재생에너지 예측을 위한 송전선로의 계량 데이터 계산 방법)

  • Ja-hyun, Baek;Hyeonjin, Kim;Soonho, Choi;Sangho, Park
    • KEPCO Journal on Electric Power and Energy
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    • v.8 no.2
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    • pp.55-59
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    • 2022
  • This paper introduce Renewable Energy forecasting technology, which is a part of renewable management system. Then, calculation method of dedicated transmission line's meteorological data to forecast renewable energy is suggested. As the case of dedicated transmission line, there is only power output data combined the number of renewable plants' output that acquired from circuit breakers. So it is need to calculate meteorological data for dedicated transmission line that matched combined power output data. this paper suggests two calculation method. First method is select the plant has the largest capacity, and use it's meteorological data as line meteorological data. Second method is average with weight that given according to plants' capacity. In case study, suggested methods are applied to real data. Then use calculated data to Renewable forecasting and analyze the forecasting results.

Building a Community of Practice of Research Data Curators: A Qualitative Study (연구데이터 큐레이터로 구성된 실천공동체 구축에 관한 질적 연구)

  • Han, Na-eun
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.119-152
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    • 2022
  • This study examined the activities of Community of Practice (CoP) of research data curators, including their community building and maintenance activities, by using activity theory as its main theoretical framework. The study used an embedded multiple-case study design for exploring the activities of three CoP of research data curators. The case study design used document analysis and semi-structured interviews to collect data. Besides the community building and maintenance activities, other activities were performed in the CoP of research data curators, which could be largely divided into curation activities, education activities, and communication activities. Membership was largely divided into institutional membership and individual membership, and the motives for members to join and contribute to the CoP vary from extrinsic to intrinsic motivations. Finally, we identified and categorized challenges and success indicators for CoP of research data curators as perceived by participants. In particular, we identified three types of challenges or contradictions the communities faced and 14 perceived indicators of success. This study informs the practice of research data curation by providing a knowledge base for building and maintaining a CoP of research data curators.

Approaches to Studying Low Birth Rate in Korea: A Critical Review (우리나라 저출산 관련 연구 동향 분석)

  • Na, Yu-Mi;Kim, Mi-Kyung
    • Korean Journal of Human Ecology
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    • v.19 no.5
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    • pp.817-833
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    • 2010
  • This study was dedicated to searching better course of low birth rate study in Korea by carefully analyzing past and present low birth rate researches. For this 179 studies(101 master thesis and 78 journal articles) from 1991 to 2009 were analyzed. Next, using SPSS Win 12.0, the research type, topic, participants, data collection and method of data analysis were compared to the studies' years of publication. The most frequently applied research approach, topic, sampling method, data collection procedure and data analysis method in the research was found to be a literature study, solution and prevention of low birth rate related policy, literature study, literacy analysis. In conclusion, low birth rate studies should become more diversified in terms of types of the research, data collection method, and data analysis. Additionally, research topics should become more realistic and specified. Moreover, research results should be verified before they are applied to the policy.

Correlation Analysis between Inventory data and danger grade of Cut slope in Chungcheongdo (충청도 내 일반국도 절토사면의 현황자료와 위험도간의 상관성분석)

  • Kim, Jin-Hwan;Rhee, Jong-Hyun;Kim, Seung-Hyun;Lee, Jung-Yup;Koo, Ho-Bon
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.980-983
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    • 2008
  • KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper will draw dangerous cut slope and more important inventory data in Chungcheongdo via correlation analysis.

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