• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.1-10
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• 2023

Recently, NAND flash memories have replaced magnetic disks due to non-volatility, high capacity and high resistance, in various computer systems but it has disadvantages which are the limited lifespan and imbalanced operation latency. Therefore, many page replacement policies have been studied to overcome the disadvantages of NAND flash memories. Although it is clear that these policies reflect execution characteristics of various environments and applications, researches on the foundation-policy decision for disk buffer management are insufficient. Thus, in this paper, we propose a foundation-policy recommendation model, called FRM for effectively utilizing NAND flash memories. FRM proposes a suitable page replacement policy by classifying and analyzing characteristics of workloads through machine learning. As an implementation case, we introduce FRM with a disk buffer management policy and in experiment results, prediction accuracy and weighted average of FRM shows 92.85% and 88.97%, by training dataset and validation dataset for foundation disk buffer management policy, respectively.

• Journal of Korean Library and Information Science Society
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• v.54 no.2
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• pp.111-130
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• 2023

With the arrival of the knowledge information society, records as assets have become increasingly important. As defined in ISO 30300, records must be actively utilized to contribute to organizational management and generate added value. To create added value through records, their utilization must be prioritized. While countries like the UK, New Zealand, and Australia recognize records as assets and propose record assetization policies, specific measures for managing records as assets have yet to be suggested. To address this gap, we analyze Directive (EU) 2019/1024, established by the EU, to facilitate commercial use and promote accessible public information. We derive seven characteristics from the analysis and extract insights from Italian policies and actual implementation cases that reflect them in accordance with the regulations of the EU guidelines. In addition, the correlation between the Public Data Act and the Public Records Act in Korea was revealed, and points that could reflect Directive (EU) 2019/1024 in Korea were derived. Through this study, it is expected that public data will be treated as information assets and serve as a stepping stone for preparing information assetization policies for records.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.133-145
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• 2022

As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

• Journal of KIISE:Databases
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• v.36 no.5
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• pp.352-365
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• 2009

Recently, data access control policies have not been applied for authorized or unauthorized persons properly and information leakage incidents have occurred due to database security vulnerabilities. In the traditional database access control methods, administrators grant permissions for accessing database objects to users. However, these methods couldn't be applied for diverse access control policies to the database. In addition, another database security method which uses data encryption is difficult to utilize data indexing. Thus, this paper proposes an enhanced database access control system via a packet analysis method between client and database server in network to apply diverse security policies. The proposed security system can be applied the applications with access control policies related to specific factors such as date, time, SQL string, the number of result data and etc. And it also assures integrity via a public key certificate and MAC (Message Authentication Code) to prevent modification of user information and query sentences.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1834-1839
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• 2005

Database security is essential to protect their data in most organization such as hospitals, central or local governments, banks which manage the private, sensitive and important data. Because the duty of the department recently became more various and complicated, the changes of security requirement are needed more frequently. Therefore, easily changeable, flexible security policy and efficient security management with preserving the integrity of security policy are very important. In this paper, we implemented a flexible database security system in the specimen and clinical information management system of leukemic research center using IRH(Improved Role Hierarchy). Data is protected by MAC and we propose a flexible access control and effective administration by using the IRH that is an improved role hierarchy of RBAC. If security policy is needed for changes, this system can do it easily by simply modifying the IRH with the decentralized administration. The modified security policy can be applied flexibly after alteration because the security level of the subject is not fixed but can be derived automatically from the IRH when user connects the system.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.273-280
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• 2005

시공간 데이터베이스는 실세계에 존재하는 다양한 유형의 객체에 대한 공간 관리와 이력정보를 동시에 제공함으로써 사용자에게 시공간 데이터에 대한 저장 및 질의 수단을 제공한다. 질의 연산중 집계 연산은 특정한 조건을 만족하는 데이터에 대하여 계산을 수행한 결과 값을 반환하는 연산으로, 다양한 분야에서 데이터의 분석을 위해 사용된다. 그러나 기존의 집계에 대한 연구는 시간 또는 공간에만 편중되어 시간과 공간 제약을 모두 가진 실세계의 응용에 직접 적용할 수 없다. 따라서 이 논문에서는 실세계 응용들의 분석을 위한 시공간 집계함수를 제안하고, 실제 응용에서의 분석을 위한 질의 예를 보인다. 제안된 시공간 집계함수에 의해 사용자는 응용시스템에 따른 시공간 데이터 분석을 위해 간략하고 편리한 질의 할 수 있다.

• Informatization Policy
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• v.28 no.3
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• pp.95-111
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• 2021

To achieve a data-driven policy decision-making system, the Ministry of Strategy and Finance has formed a marketing team and is actively building upon it. This system, currently under construction, will enable data-driven financial tasks beyond simple financial administration. The U.S. has already enacted The Foundations for Evidence-Based Policymaking Act in the process of similar pursuits. Since last year, the data-driven system administrative law has been enacted in Korea, and a legal framework has been established for data-driven administrative work. The next-generation budget accounting system to fulfill its role as a data-driven system needs public policy support to operate. Innovation and transformation are needed in various areas such as data management, legal system, and installation of related systems. Accordingly, it is very timely to analyze the financial systems and policies of advanced countries such as the U.S. and U.K., which already have established and operates such a financial system. By benchmarking and applying existing financial information systems to the next-generation budget accounting system, a better system will result. In this study, major developed countries, including the U.S., U.K., France, and Canada were benchmarked and analyzed in terms of the main elements of data governance: public policy, systems, legal framework, promotion system, and service level. It was discovered that the role and direction of the national fiscal policy system that the people favor should be able to respond quickly to the recent difficult economic crisis environment such as the digital transformation trend and COVID-19.

• The KIPS Transactions:PartA
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• v.13A no.6 s.103
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• pp.511-516
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• 2006

The data grid computing provides geographically distributed storage resources to solve computational problems with large-scale data. Unlike cache replacement policies in virtual memory or web-caching replacement, an optimal file replacement policy for data grids is the one of the important problems by the fact that file size is very large. The traditional file replacement policies such as LRU(Least Recently Used) LCB-K(Least Cost Beneficial based on K), EBR(Economic-based cache replacement), LVCT(Least Value-based on Caching Time) have the problem that they have to predict requests or need additional resources to file replacement. To solve theses problems, this paper propose SBR-k(Sized-based replacement-k) that replaces files based on file size. The results of the simulation show that the proposed policy performs better than traditional policies.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.86-88
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• 2012

우리 군은 부대의 규모 및 활용 용도에 따라 다양한 전장관리정보체계를 운용하고 있다. 또한, 새로운 전장관리정보체계를 도입하여 운용할 예정이다. 이에 데이터의 연동이 중요한 문제로 인식되고 있다. 본 연구에서는 우리 군의 데이터 연동을 위한 정책 및 시스템과 외국군의 데이터 연동 기법을 소개하고 소부대 위치 데이터 연동을 위한 모델을 제안한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1995.06a
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• pp.35-39
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• 1995

멀티미디어 데이터는 크기가 크고 실시간성의 특징을 가지고 있다. 특히 HDTV 서버는 많은 수의 비디오를 저장하기 위해서 대용량의 저장 능력이 필요하며 동시에 많은 수의 사용자를 지워하기 위해서 높은 전송율을 보장하여야 한다. 따라서 HDTV 서버는 확장성 있는 하드웨어 구조를 가져야 하고 데이터를 효과적으로 저장 관리할 수 있는 소프트웨어가 지원되어야 한다. 본 논문에서는 HDTV의 비디오 데이터를 저장 관리하기 위한 확장성 있는 HDTV 저장 서버 구조, 고성능 입출력시스템에서 기본적으로 사용하는 데이터 분할 방법, 데이터 배치 방법, 캐싱 정책, admission control 방법과 성능 분석에 대한 내용을 기술한다.