• Journal of Information Management
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• v.42 no.3
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• pp.95-116
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• 2011

The purpose of this research is to examine the characteristics and problems of the OASIS, an web archive, developed and operated by the National Library of Korea. An analysis of 55 websites collected in seven subject areas, including 'Philosophy', 'Religion', 'Literature', 'Social Sciences-Politics', and 'Technology-Technology' in the OASIS website shows the following problems: lack of balance in subject distribution, lack of authority or scholarly value of some contents, unclear application of selection criteria for personal creators/publishers, ambiguous definition of 'archiving', and inappropriate counting of collection and usage statistics. Some comprehensive and systematic efforts to improve the OASIS contents seem to be urgently needed.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.905-908
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• 2015

최근 한국의 와인 소비 트랜드는 매년 약 10%의 성장률을 보일 만큼 빠르게 주목 받고 있다. 그러나 와인과 관련된 정확한 데이터의 부재와 이를 전문적으로 주관하는 기관이 없는 현실 등 국내 와인 시장의 여러 문제점이 언급되고 있다. 이 문제를 해결하기 위해서는 와인 소비자의 직접적인 데이터가 수집 가능해야 하며 관련 데이터를 정리, 분석할 수 있는 시스템이 필요할 것이다. 본 연구에서는 바코드 인식 기술을 이용하여 보다 정확한 사용자의 데이터를 수집하고 와인 선호도를 추출하는 Top-k sky-line algorithm을 적용하여 데이터를 효과적으로 분석 및 통계를 하는 데에 목적을 둔다. 이 방법은 데이터를 수집, 분석할 뿐만 아니라 와인을 선별하고 사용자의 선호도를 기반으로 와인을 추천해 줄 수 있다는 점에서 매우 효과적일 것으로 사료된다. 본 연구에서는 기획의도 및 동기, 관련 연구 및 응용, 제안하는 방법, 예상 콘텐츠 시나리오, 기대효과, 결론을 소개하고자 한다.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.5-27
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• 2010

The purpose of this research is to examine the characteristics and problems of OASIS, a web archive, developed and operated by the National Library of Korea, and then to propose how to improve the quality of its contents. An analysis of the contents in 'Literature' and 'Social Sciences' in the OASIS website shows problems, including low quality of some contents, lack of balance in subjects and creators/publishers, duplicate collections of web documents and web sites, lack of currency and evidence of unique or scholarly value of collected web resources, etc. Suggested are the use of 'real-name' of subject specialists to ensure their responsibilities in selection process and the addition of metadata elements to evidence the appropriate application of selection criteria.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.2
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• pp.50-50
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• 2018

한국의 근현대 천문학은 조선시대 관상감의 명맥을 잇고 천문학의 현대화를 이루는 과정에서 역사적이고 문화적인 자료를 남겼다. 그 중 국립천문대를 거쳐 한국천문연구원에 이르기까지 주요 연구 결과물은 국가적 차원에서 보존해야 할 가치 있는 기록물들이다. 이들은 연구 환경변화의 주요 인물과 스토리까지 포괄하고 있으므로 그 과정에서 파생된 소산물도 체계적으로 조직화하여 대중에게 서비스할 필요가 있다. 이 기획 연구는 도큐멘테이션 전략과 사료 콘텐츠 세트 개발 방법론을 활용하여 한국 근현대 천문학 기록물을 수집하고 주제별로 재가공하는 절차를 제시한다. 도큐멘테이션 전략은 국내외에 산발적으로 분산된 한국 근현대 천문 사료의 유형과 지역 등 편중성을 가려내어 중복된 기록물은 걸러내고 희소성 높은 기록물을 선별하여 수집하는 방법론이다. 천문 사료 콘텐츠 세트는 한국천문학사의 주요 인물과 천문대 등 학술적, 문화적으로 가치 있는 주제를 중심으로 본(本) 기록물과 연관 기록물을 맥락적으로 관리 서비스할 수 있는 방법론이다. 이 연구를 통하여 초중등 교과 과정이나 유관 기관과 서비스를 연동하여 한국천문지식정보의 범용화와 천문 아카이브에 대한 대중의 접근 편의를 도모할 수 있을 것으로 기대된다.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.9-18
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• 2013

In recent years, the demands of multimedia data in wireless sensor networks have been significantly increased for the high-quality environment monitoring applications that utilize sensor nodes to collect multimedia data. However, since the amount of multimedia data is very large, the network lifetime and network performance are significantly reduced due to excessive energy consumption on particular nodes. In this paper, we propose an energy-efficient dynamic area compression scheme in wireless multimedia sensor networks. The proposed scheme minimizes the energy consumption in the huge multimedia data transmission process by compression using the Chinese Remainder Theorem(CRT) and dynamic area detection and division algorithm. Our experimental results show that our proposed scheme improves the data compression ratio by about 37% and reduces the amount of transmitted data by about 56% over the existing scheme on average. In addition, the proposed scheme increases network lifetime by about 14% over the existing scheme on average.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.35-39
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• 2007

Recently Usage statistics are widely available from online content providers. However. the statistics are not yet available in a consistent data container and the administrative cost of individual provider-by-provider downloads is high. The Standardized Usage Statistics Harvesting Initiative (SUSHI) is developing an automated request and response protocol for moving Project COUNTER (Counting Online Usage of Networked Electronic Resources) Code of Practice usage statistics from providers to library electronic repositories. SUSHI will help libraries make better decisions by reducing the administrative overhead of using Project COUNTER statistics. Publishers in the recording and exchange of usage statistics for electronic resources, initially journals and databases. By following COUNTER's Code of Practice, vendors can provide library customers with Excel or CSV (comma delimited) files of usage data using COUNTER's standardized formats and data elements. The result is a consistent, credible, and compatible set of usage data from multiple content providers. On this study, We propose the acquisition model of usage data based on SUSHI for KESLI that is overseas electronic journal consortium in korea.

• Journal of Digital Contents Society
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• v.3 no.1
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• pp.1-9
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• 2002

This paper is proposed to algorithm for measuring traffic information automatically, for example, volume count, speed and occupancy rate, from CCTV camera images installed on highway, add to function of image detectors which can be collected the traffic information. Recently the method of traffic informations are counted in lane one by one, but this manner is occurred critical errors by occlusion frequently in case of passing larger vehicles(bus, truck etc.) and is impossible to measure in the 8 lanes of highway. In this paper, installed the detection area include with all lanes, traffic informations are collected using tracking algorithm with passing vehicles individually in this detection area, thus possible to detect all of 8 lanes. The experiment have been conducted two different real road scenes for 20 minutes. For the experiments, the images are provided with CCTV camera which was installed at Kiheung Interchange upstream of Kyongbu highway, and video recording images at Chungkye Tunnel. For image processing, images captured by frame-grabber board 30 frames per second, $640{\times}480$ pixels resolution and 256 gray-levels to reduce the total amount of data to be interpreted.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.149-158
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• 2017

Big data have been presenting us with exciting opportunities and challenges in economic development. For instance, in the agriculture sector, mixing up of various agricultural data (e.g., weather data, soil data, etc.), and subsequently analyzing these data deliver valuable and helpful information to farmers and agribusinesses. However, massive data in agriculture are generated in every minute through multiple kinds of devices and services such as sensors and agricultural web markets. It leads to the challenges of big data problem including data collection, data storage, and data analysis. Although some systems have been proposed to address this problem, they are still restricted either in the type of data, the type of storage, or the size of data they can handle. In this paper, we propose a novel design of a platform for collecting and analyzing agricultural big data. The proposed platform supports (1) multiple methods of collecting data from various data sources using Flume and MapReduce; (2) multiple choices of data storage including HDFS, HBase, and Hive; and (3) big data analysis modules with Spark and Hadoop.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.448-459
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• 2020

Recently, the necessities of gathering, producing, and sharing criminal information are critically important as intelligence functions of police agencies to improving public safety and national security. However, the inadequacies and barriers within which police agencies have in regard to intelligence functions impede criminal information gathering, intelligence producing within their agency, and intelligence sharing with other agencies. In this study, we analyzed informal networks constructed from a survey dataset of information and intelligence sharing among officers in police agencies. The results revealed the different structural properties of intelligence networks between police agencies. We did find that officers with high indegree and outdegree in a network played critical role on the dynamics and degree of intelligence gathering and assessment responsibilities. Finally, we could find evidence that the potential role of intermediary triggered relational dynamics for developing and sharing critical information among all police agencies.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.83-93
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• 2022

Research is underway to solve the traffic problem by using crowdsourcing, where drivers use their mobile devices to provide traffic information. If it is used for traffic event detection through crowdsourcing, the task of collecting related data is reduced, which lowers time cost and increases accuracy. In this paper, we propose a scheme to collect traffic-related data using crowdsourcing and to detect events affecting traffic through this. The proposed scheme uses machine learning algorithms for processing large amounts of data to determine the event type of the collected data. In addition, to find out the location where the event occurs, a keyword indicating the location is extracted from the collected data, and the administrative area of the keyword is returned. In this way, it is possible to resolve a location that is broadly defined in the existing location information or incorrect location information. Various performance evaluations are performed to prove the superiority and feasibility of the proposed scheme.