• Journal of Information Management
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• v.6 no.5
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• pp.127-130
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• 1973

1966년에 국제학술연합회의(ICSU)는 과학기술데이터위원회(CODATA)를 조직하였는데 이는 세계적으로 수치데이터 수집에 관한 조정(調整)을 꾀하고 유도해주며 해당 사기관, 정부기관 및 정부간기관의 데이터 수집을 적극 지원해 주기 위한 것이었다. 현재 위원회는 8개국으로부터의 회원과 10개의 국제연맹을 가지고 있으며 이들은 CODATA의 목적을 달성하기 위하여 내부적인 수법을 사용해 오고 있고, 또한 각국의 관련단체들은 비공식적인 전달수단을 통하여 서로 연결되어져 있다. CODATA의 중앙국은 원래 워싱턴에 있었으나, 지금은 독일의 프랑크푸르트에 위치하고 있으며, 중요한 데이터평가 및 수집센터의 간행물을 분석한 요약판이 곧 발행될 것이다. 그밖에 특수한 문제를 해결하기 위하여 기본상수, 수치데이터처리를 위한 전자계산기의 응용, 수집가가 사용하는 중요입력데이터의 표준 등에 관한 작업반이 설치되었다. 한편, 세계적으로 수치데이터 수집가들간의 협력이 활발히 이루어지고 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.903-909
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• 2019

Periodontal disease is observed in many adult persons. However we has not clear know the molecular mechanism and how to treat the disease at the molecular levels. Here, we investigated the molecular differences between periodontal disease and normal controls using gene expression data. In particular, we checked whether the periodontal disease and normal tissues would be classified by machine learning algorithms using gene expression data. Moreover, we revealed the differentially expression genes and their function. As a result, we revealed that the periodontal disease and normal control samples were clearly clustered. In addition, by applying several classification algorithms, such as decision trees, random forests, support vector machines, the two samples were classified well with high accuracy, sensitivity and specificity, even though the dataset was imbalanced. Finally, we found that the genes which were related to inflammation and immune response, were usually have distinct patterns between the two classes.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.274-284
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• 2020

In the era of the Fourth Industrial Revolution, the level of data-efficient utilization greatly affects the performance of the enterprise. This study was to verify the effect on organizational performance and the absorption capacity as a mediate, depending on person-job fit and person-organization fit in organizational memory affordance. According to a survey of 317 employees of large, medium and small businesses, organizations that have sufficient organizational memory have had a positive impact on both person-job fit(PJF) and person-organization fit(POF), and also on absorption capacity. In addition, the organizational memory affordance had a positive effect on absorption capacity by mediating the POF. PJF and POF had a positive effect on management performance, but only POF when mediating absorption capacity showed a positive influence relationship. This study is meaningful by comprehensively empirical analysis of the organizational IT construction environment and the members' perception of organization and job as a leading factor in absorption capacity, and simultaneously demonstrating the impact on organizational performance.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.69-78
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• 2013

This paper introduces the alignment background, analyzes some alignment issues. a practical the model of Data Governance for business and IT alignment is describes to implement the alignment so as to improve organizations innovation competency. Business and Information Technology alignment plays an important role in the business operation. Data Governance is an emerging approach which has been proven in some organizations to meet alignment demand. This paper proposes the model of Data Governance and proves the effective through implementation. This could be a good model of benchmarking for the best data quality management of all organizations.

• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.97-112
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• 2013

The quality of the data is the most basic prerequisite for effective use of data. Problems and the resulting loss due to error data has emerged using case studies and a number of, to a national, quality certification system of the data has been enforced, you must manage to generate data study on the method for selecting the point of view of an organization's data CTQ is a very unsatisfactory state of affairs. Selected CTQ main data is subject to quality control in the organization, to develop criteria for CTQ data side of the business and IT so that it can be managed in a systematic manner, the proposed model, to filter the data accordingly presented in detail how to manage enterprise-wide CTQ data that can be quantified Te. By utilizing SPSS, factor analyzes, for which I used the AHP method for quantification. In particular, we present a framework of management measures along the maturity of the data in the organization due to the enforcement of authentic quality certification system of DB, utilizing the CTQ-DSMM model readily applicable to practice.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.841-843
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• 2002

인터넷의 보급으로 데이터의 생산, 수요, 유통이 급격히 증가하였으며, 조직내의 정보의 공유 및 활용의요구가 점자 증대되었다. 이에 대한 해결책으로 스토리지 네트워크의 사용이 확산되어 중요정보의 백업,긴급복구등의 기능을 쉽게 사용할 수 있게 되었다. 그러나 조직내의 중요만 데이터에 대한 백업 및 공유를 수행하면서도 데이터에 대안 보안은 상대적으로 매우 취약만 신정이어서 향후 보안문제가 대두 될 것으로 보인다. 본 논문에서는 SAN의 구성과 동향을 살펴보고 현재 보편화된 SAN 보안 기법인 LUN Masking과Zoning의 구조와 기능, 이들의 한계점등을 알아보도록 한. 또 향후 SAN 동향과 그중 IP네트워크의 결합으로 발생되어지는 보안 문제점과 해결책을 제시하도록 한다.

• Journal of Korea Multimedia Society
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• v.14 no.10
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• pp.1303-1310
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• 2011

This paper proposes the design of 3-party negotiation protocol for the security of self_organized storage which consists of the owner node possessing data, the holder node holding the owner's data and the verification node verifying the data of the holder node on infra-cloud environment. The proposed security technique delegating the data verification of the holder node to the verification node increases the efficiency of the self-organized storage. In addition, the encrypt key and certification of the storage created by EC-DH algorithm enhances the security much more. Also, when the self-organized storage is composed, the security technique not only prevents external flooding attack by setting a certification key among three parties, but also prevents internal flooding attack by restricting the number of verification nodes. And The replay attack which can occur in the step of verification is automatically detected by using the created seed value whenever the verification is requested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.421-427
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• 2008

본 연구에서는 방대한 양과 다양한 종류의 필드를 가지는 인력패널 데이터를 기초로 데이터마이닝 기법인 의사결정나무 추론 등의 기법을 활용하여 근로자의 직무 만족과, 조직몰입에 주요한 영향을 주는 요소를 상향식으로 도출하고, 이런 주요 요소가 근로자의 직무만족과, 조직몰입에 어떠한 관계를 가지는지 살펴보고자 한다. 본 연구결과는 데이터마이닝 기법을 활용한 직무만족과, 조직몰입 모형구축을 통하여 기존연구들에서 고려하지 못한 주요 영향요인을 보완하고, 기업의 인적자원관리 및 개발 차원에서 조직의 발전과 성과향상을 기대할 수 있다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.89-95
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• 2024

Nowadays, the competitiveness of a company depends on the ability of all organizational members to share and utilize the organizational knowledge accumulated by the organization. As if to prove this, the world is now focusing on ChetGPT service using generative AI technology based on LLM (Large Language Model). However, it is still difficult to apply the ChetGPT service to work because there are many hallucinogenic problems. To solve this problem, sLLM (Lightweight Large Language Model) technology is being proposed as an alternative. In order to construct sLLM, corporate data is essential. Corporate data is the organization's ERP data and the company's office document knowledge data preserved by the organization. ERP Data can be used by directly connecting to sLLM, but office documents are stored in file format and must be converted to data format to be used by connecting to sLLM. In addition, there are too many technical limitations to utilize office documents stored in file format as organizational knowledge information. This study proposes a method of storing office documents in DB format rather than file format, allowing companies to utilize already accumulated office documents as an organizational knowledge system, and providing office documents in data form to the company's SLLM. We aim to contribute to improving corporate competitiveness by combining AI technology.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.145-148
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• 2008

IT 아웃소싱은 IT 서비스 관리에 있어서 가장 중요한 전략 중 하나로 인식되고 있다. 조직의 핵심 역량에 집중하면서 부차적인 IT 업무는 외부로부터 지원을 받는 IT 아웃소싱 전략은 조직의 효율과 성과를 높일 수 있는 효과적인 방안이면서, 보안에 대한 우려와 IT 서비스 공급자에 대한 의존도를 높이는 부작용을 동반하고 있다. 본 연구에서는 국내 민간 기업 데이터 센터의 IT 아웃소싱 전략과 운영을 분석하였다. 국내 주요 IT 서비스 전문 기업 3개사와 금융그룹 1개사의 데이터 센터에 대한 심층 인터뷰를 바탕으로, 데이터 센터들의 IT 아웃소싱 조직 현황, 아웃소싱 결정 요인, 아웃소싱 저해 요소와 해결 방안 등 전반적인 IT 아웃소싱 전략과 운영을 살펴보았다. 국내 주요 기업들의 데이터 센터는 IT 유지 보수, 인프라 기반 운영 등의 업무를 아웃소싱 대상 업무에, 그리고 IT 기획 전략 컨설팅, 시스템 기획 개발 등의 업무는 인소싱(in-house sourcing) 업무로 분류하고 있었다. 또한 IT 아웃소싱 결정 요인으로 내부직원의 역량, 비용, 리스크 등이 있었고, 정량적인 분석보다는 정성적인 판단에 의해 아웃소싱을 결정하고 있었다.