• Journal of Korean Library and Information Science Society
• /
• v.48 no.4
• /
• pp.351-374
• /
• 2017

In this study, we propose a model for constructing a producer-centered self-publishing repository for the personal digital records and three operational process for practical application of the operational model. 1) As essential requirements for constructing a DSpace-based self-publishing repository, we propose producer-centered service provision, management subject, operation and management plan, how to activate the repository of digital personal records producers, copyright issues, development and dissemination process. 2) The repository model constructs a producer-centered circular structure considering these requirements. 3) Through a repository model with multiple agencies, it provides various services such as content distribution, keyword search, usage statistics, recommendation system, and open access to portal users and electronic publishers as well as individual users.

• Journal of Korea Multimedia Society
• /
• v.22 no.11
• /
• pp.1288-1299
• /
• 2019

As life expectancy increases, chronic diseases become a problem, and health management in daily life becomes important. With the development of IT convergence technology, personal health records have been collected through various data sources, but they are saved separately by each medical services. Distributed storage of personal health records caused inconvenience about managing the user's health records. In this paper, we designed and implemented an integrated repository and web-based dashboard UI components to solve that inconvenience. The proposed method shows that users can manage their personal health records in the integrated repository effectively and show them through dashboard UI components.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.33 no.3
• /
• pp.179-203
• /
• 2022

This study purposed to measure the economic value of repository services of the National Open Access Platform (AccessON), namely Self Archiving and Journal Repository. The value of Self Archiving was measured by applying time-saving value and the value of Journal Repositories by applying market analogy. Based on existing statistics, in-depth interviews with service beneficiaries and stakeholders, and a survey administered to 1,313 researchers, the value of Self Archiving was estimated to be 145 million won and an additional 12 million won with the OA legalization. The value of Journal Repositories was estimated to be 31.2 billion won. The total value of the repository services was 31.35 billion won over the 8-year business period. This result presented an estimated economic value of a national OA repository from the key beneficiaries' perspectives.

• Journal of KIISE:Software and Applications
• /
• v.34 no.8
• /
• pp.752-762
• /
• 2007

The PSP (Personal Software Process) is developed to help developers make high-quality products through improving their personal process. With consistent measurement and analysis activity that the PSP suggests, developers can identify process deficiencies and make reliable estimates on effort and quality. However, due to the high-overhead and context-switching problem of manual data recording, developers have difficulties in collecting reliable data, which can lead wrong analysis results. On the other hand, the paper-based process guides of the PSP are inconvenient to navigate its process information and difficult to attach additional information. In this paper, we introduce a PSP supporting tool developed to handle these problems. The tool provides automated data collection facilities to help acquire reliable data, an EPG (Electronic Process Guide) for the PSP to provide easy access and navigation of the process information, and an experience repository to store development experience as additional information about the process.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.16 no.2
• /
• pp.33-43
• /
• 2006

In order to provide the efficient personalized services, the organizations and the companies collect and manage the personal information. However, there have been increasing privacy concerns since the personal information might be misused and spread over in public by the database administrators or the information users. Even in the systems in which organizations or companies control access to personal information according to their access policy in order to protect personal information, it is not easy to fully reflect the information subjects' intention on the access control to their own Personal information. This paper proposes a policy-based access control mechanism for the personal information which prevents unauthorized information users from illegally accessing the personal information and enables the information subjects to control access over their own information. In the proposed mechanism, the individuals' personal information which is encrypted with different keys is stored into the directory repository. For the access control, information subjects set up their own access control policy for their personal information and the policies are used to provide legal information users with the access keys.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06c
• /
• pp.64-68
• /
• 2007

본 논문은 영상의 메타데이터를 RDF를 이용하여 표현, 저장하고, SPARQL을 이용하여 검색하는 솔루션을 구현하여, RDF와 SPARQL을 통한 멀티미디어 파일의 메타데이터 관리 방안을 제시한다. 솔루션은 Jena2 프레임워크 기반으로 구현하였으며, Controller, EXIF Extractor, Metadata Schema, RDF Generator, Repository Manager, SPARQL Executor의 모듈로 구성된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.177-183
• /
• 2015

The purpose of ICT Healing platform is the prevention of chronic disease. It is intended to early warning of the disease through the information such as the bio-signals and lifestyle. In this paper, we provide a 2-Step open system(TOS) for personalized health data access. TOS is connected between the personal health related data providers and service providers of individuals ICT Healing platform, a software engine for relaying personalized health data. The proposed system, to operate in isolation to 2 step in personal health document repository Inbound module and Outbound module to provide an inquiry service to external organizations. Therefore, we propose a personalized editable Manifest concept for defining data exchange between Step. This can be used as a reference model to collect the personal health information is scattered in many health related service institutions (Hospitals, Fitness Centers, Health Examination Centers, Personal Health Device, etc.) and under private-led liberalization.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.12B
• /
• pp.2233-2248
• /
• 1999

The TMN that appears to operate the various communication networks generally and efficiently is developed under the different platform environment such as the different hardware and the different operating system. One of the main problems is that all the agents of the TMN system must be duplicated and maintain the software and the data blocks that perform the identical function. Therefore, the standard of the Q3 interface development cannot be defined and the multi-platform cannot be supported in the development of the TMN agent. In order to overcome these problems, the Farming methodology that is based on the Farmer model has been suggested. With the Farming methodology, the software and the data components which are duplicated and stored in each distributed object are saved in the platform independent class repository(PICR) by converting into the format of the independent componentware in the platform, so that the componentwares that are essential for the execution can be loaded and used statically or dynamically from PICR as described in the framework of each distributed object. The distributed TMN agent of the personal communication network is designed and developed by using the Farmer model.

• The Korean Journal of Archival Studies
• /
• no.39
• /
• pp.3-43
• /
• 2014

This paper showed results of the risk management project in detail which was conducted by National Archives of Korea(NAK) in 2010. In the project NAK examined its long-term preservation business of electronic records using DRAMBORA(Digital Repository Audit Method Based on Risk Assessment). NAK has defined 44 different risk elements related to its business activities, assessed and classified them into several grades according to the severity calculated by risk probability score and risk potential impact score, and developed precise management plans for two of the most serious risks. This paper introduced the management plan for one of them. The risk was numbered with NR04 and described by 'Loss of integrity of records information'. This paper explained mitigation strategies, contingency organization, disaster control responsibilities, and personal mission cards for the NR04. This paper planned to give comprehensive understandings to Records Management Organizations about the risk management approaches as an effective way for business management through the case study.

• Journal of KIISE
• /
• v.45 no.3
• /
• pp.294-302
• /
• 2018

With the emergence of the new service industry due to the development of information and communication technology, cyber space risks such as personal information infringement and industrial confidentiality leakage have diversified, and the security problem has emerged as a critical issue. In this paper, we propose a behavior-based anomaly detection method that is suitable for real-time and large-volume data analysis technology. We show that the proposed detection method is superior to existing signature security countermeasures that are based on large-capacity user log data according to in-company personal information abuse and internal information leakage. As the proposed behavior-based anomaly detection method requires a technique for processing large amounts of data, a real-time search engine is used, called Elasticsearch, which is based on an inverted index. In addition, statistical based frequency analysis and preprocessing were performed for data analysis, and the DBSCAN algorithm, which is a density based clustering method, was applied to classify abnormal data with an example for easy analysis through visualization. Unlike the existing anomaly detection system, the proposed behavior-based anomaly detection technique is promising as it enables anomaly detection analysis without the need to set the threshold value separately, and was proposed from a statistical perspective.