• Publications of The Korean Astronomical Society
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• v.32 no.1
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• pp.33-35
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• 2017

We have been working on data processing and calibration of AKARI/IRC images from pointed observations. As of September 2014, a data package for each pointing only contains raw data and quick-look data, so that users have to process them using the toolkit by themselves. We plan to change this situation and to provide science-ready data sets, which are easy-to-use for non-AKARI experts. For Phase 1&2, we have updated dark and flat calibrations, and also the toolkit itself to produce images more reliable and easier to use. A new data package includes fully calibrated images with WCS information. We released it for about 4000 pointings at the end of March 2015.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.267-273
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• 2013

Early design phase energy modeling is used to provide the design team with first order of magnitude feedback about the impact of various building configurations. For better energy-conscious and sustainable building design and operation, the construction of BIM data interoperability for energy performance assessment in the early design phase is important. The purpose of this study is to suggest construction of BIM data interoperability for energy performance assessment based on BIM. To archive this purpose, the authors have investigated advantage of BIM-based energy performance assessment through comparison with traditional energy performance assessment and suggested requirement for construction of open BIM environment such as BIM data creation, BIM data software practical use, BIM data application and verification. In addition, the authors have suggested BIM data interoperability and BIM energy property mapping method focused on materials.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.47-62
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• 2016

An integrated database(DB) system was developed to manage the marine geological data and geophysical data acquired from around the Korean peninsula from 2009 to 2013. Geological data such as size analysis data, columnar section images, X-ray images, heavy metal data, and organic carbon data of sediment samples, were collected in the form of text files, excel files, PDF files and image files. Geophysical data such as seismic data, magnetic data, and gravity data were gathered in the form of SEG-Y binary files, image files and text files. We collected scientific data from research projects funded by the Ministry of Oceans and Fisheries, data produced by domestic marine organizations, and public data provided by foreign organizations. All the collected data were validated manually and stored in the archive DB according to data processing procedures. A geographic information system was developed to manage the spatial information and provide data effectively using the map interface. Geographic information system(GIS) software was used to import the position data from text files, manipulate spatial data, and produce shape files. A GIS DB was set up using the Oracle database system and ArcGIS spatial data engine. A client/server GIS application was developed to support data search, data provision, and visualization of scientific data. It provided complex search functions and on-the-fly visualization using ChartFX and specially developed programs. The system is currently being maintained and newly collected data is added to the DB system every year.

• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.1-26
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• 2020

In today's increasingly data-intensive academic environment, data is becoming the foundation of academic communication as a research outcome rather than a research by-product. However, there is a limit to guaranteeing actual data reuse only by expanding the data supply or securing accessibility. In order to overcome this, it is necessary to understand the data reuse behavior and data needs in-depth. Therefore, this study attempted to identify the major data reuse behavior and data needs among researchers. To this end, the authors of KCI papers among the data reuse documents of the Korea Social Science Data Archive (KOSSDA) for the past 3 years were targeted. An in-depth interview was conducted with 12 researchers who accepted the interview. As a result, factors considered when reusing data were personal, economic, technical, and social aspects, and it was found that the data itself was used or contextual information of the data was used depending on the purpose of data reuse. The path to acquiring data is a web-based source of information, and a path through informal communication can also be found. In terms of the data needs, it was found that they prefer English, the United States, and institutional producers. Also they have a clear preference for quantitative data from an interviewer-filled interpersonal interview survey method, rich metadata along with raw data, and data that contains identification information. However, due to the lack of confidence in the value, it is negative for the use of data with controlled access and use, and it is difficult to confirm a clear preference because there is no similar data available for selection in terms of size and freshness.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.185-206
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• 2010

Since core scholarly journals have been digitalized, demands on the perpetual access and long-term preservation of subscribed digital information resources by libraries are increasing. Various institutions and organizations have performed the preservation activities of digital scholarly resources for the purpose of responding those demands. This paper illustrates the National Digital Archive(NDA) system proposed and developed by KISTI and discusses on the NDA strategies which aim to improve the usability of archived journal articles. In addition, NDA strategies of KISTI have been compared with those of international researches and the economic validity of NDA has been verified by analyzing NPV, BCR and IRR. Legal system for improving the application of the archived data should be studied next and high value-added data services have been suggested as our future studies in the final section.

• Journal of KIISE
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• v.42 no.4
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• pp.541-549
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• 2015

A large volume of continuously growing BGP data files can raise two technical challenges regarding scalability and manageability. Due to the recent development of the open-source distributed computing infrastructure, Hadoop, it becomes feasible to handle a large amount of data in a scalable manner. In this paper, we present a new Hadoop-based BGP tool (BGPdoop) that provides the scale-out performance as well as the extensible and agile analysis capability. In particular, BGPdoop realizes a query-based BGP record exploration function using Hive on the partitioned BGP data structure, which enables flexible and versatile analytics of BGP archive files. From the experiments for the scalability with a Hadoop cluster of 20 nodes, we demonstrate that BGPdoop achieves 5 times higher performance and the user-defined analysis capability by expressing diverse BGP routing analytics in Hive queries.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.229-236
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• 2020

In light of SARS-CoV-2's significant impact, human society has experienced rapid changes in lifestyle that it has not yet experienced before. One way this virus has influenced people's lives is the emergence of the zero-contact society, an initiative for preventing the spread of infectious diseases. As can be seen, the social impact of COVID-19 is widespread. Various issues, such as those about government policy, personal information protection, and health care, are affecting society as a whole. At the same time, factual information is difficult to track and record because of the rapid and transient nature of related events and issues. As such, a method of effectively describing COVID-19 and real-time information is necessary. The "COVID-19: Our Memory" project is an attempt to record the sociocultural impact of the coronavirus infection. This project collects major events and issues classified into several subjects, records those events from a neutral point of view, and develops a digital archive so that all records are accessible. All the data collected and built through the project, the application, including the source code and visualization, are all published to bring about new opportunities for collaboration.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.655-667
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• 2014

A disaster is the time-excess case that computerized service can tolerate a failure and financial industry is being set up the disaster recovery system based on the disaster recovery plan and the business continuity plan for preparing these disasters. However, existing system can not guarantee the business continuity when it comes to cyber terror. This paper analyzes the building type and building technology of disaster recovery system for the financial fields. Also this paper explain the type of data backup using online redo log and type of archive log backup using WORM storage. And this paper proposes the model of improved data recovery combining above two types. Lastly this paper confirm the effectiveness and reliability for proposal rocovery model through the implementation of the test environment.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1473-1476
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• 2003

웹의 성장으로 사용자는 언제 어디서든지 유용한 정보의 이용이 가능해졌다. 웹이 광범위하게 사용됨에 따라 정보를 획득하기 위해 대다수의 사용자들이 웹을 의존하고 있다. 그러나 웹상의 모든 정보는 정보가 저장되어 있는 서버의 관리자들에 의해 계속적으로 갱신 또는 삭제되어 가고 있어 기존의 정보들은 그것의 중요성 여부와 관계없이 대다수의 정보가 소멸되고 있다. 따라서 오랜 기간에 거쳐 생성된 웹상의 중요 데이터(importance data)들을 효율적으로 활용하기 위한 웹 아카이브(archive) 시스템이 연구되었다. 그러나 현재 존재하는 웹 아카이브 시스템은 갱신되기 이전의 데이터를 다루기 위한 체계적인 처리기법을 제시하지 못하고, 수집된 데이터들에 대한 연관관계를 저장하지 못하여 데이터 관리에 있어 비효율적이라는 문제점을 가지고 있다. 이에 따라 본 논문에서는 웹으로부터 다운로드한 데이터를 레포지토리(repository)에 효율적으로 저장하기 위해 설계된 대표적인 WebBase를 기반으로 하여 갱신되기 이전의 모든 정보들에 대한 내용을 히스토리(history) 저장소내에 저장하여 정보를 효율적으로 활용할 수 있는 웹 아카이브 시스템의 구조를 제안한다.