• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.2
• /
• pp.391-400
• /
• 2012

This study focused on the role of the center for private information, which can manage and share the personal data from data breach incidents. Especially, this study addresses on the importance of establishing information management systems for preventing secondary misappropriation of breached personal data and private information. The database of breached personal data can be used for reducing privacy worries of potential victims of secondary misuse of personal data. Individuals who use the same IDs and passwords on multiple websites may find this service more effective and necessary. The effectiveness of this breached data center on reducing secondary privacy infringement may differ depending on the extend of data being shared and the conditions of data submission. When businesses experienced data breach and submission of data to this center is required by the law, the accuracy and effectiveness of this service can be enhanced. In addition, centralized database with high quality data set can increase matching for private information and control the secondary misappropriation of personal data or private information better.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.89-94
• /
• 2019

Due to the limitations of public and private blockchain, several organizations are implementing consortium blockchain systems. In order for an organization to conduct business using blockchain, it must consider 'blockchain governance' factors, such as decision rights, accountability and incentives over on-chain and off-chain, depending on the organization's strategy and objectives. If an organization conducts business without blockchain governance, it cannot achieve its strategy and objectives systematically, effectively and efficiently, and cannot comply with internal external requirements such as the expectations of stakeholders and laws. However, as businesses using consortium blockchain expand, there is no research on consortium blockchain governance. Thus, in this study, the consortium blockchain governance framework, including functions, roles and responsibilities, was developed to help organizations effectively and efficiently conduct business using consortium blockchain. In addition, to review the feasibility of the developed consortium blockchain governance framework, the framework was reviewed through an advisory committee consisting of experts on blockchain and governance over two occasions. As a result of the review, components of the consortium blockchain governance framework, including functions, roles and responsibilities, were considered complete and relevant.

• Informatization Policy
• /
• v.24 no.4
• /
• pp.44-67
• /
• 2017

Commercial properties are gaining importance in the national economy, drawing more and more interests from agencies and individuals. Therefore, objective and accurate investment information needs to be supplied in order to support rational decision making and market transparency. To contribute to guiding the Korean commercial property market to become as transparent and competitive as the markets of developed countries, this study aims to seek for ways to establish a Korean commercial property information framework. As part of the activities to achieve the goal, the Korean commercial property market information was first evaluated in terms of data collection, production and operation. Then, US NCREIF, which is operated by the private sector, and Singapore's URA, managed by the public sector, were considered as the examples of well-managed foreign commercial property market information frameworks. Efficient management of the system requires establishing a monitoring scheme, and users' accessibility and information availability will be enhanced through phased expansion of the information.

• Journal of Information Technology Services
• /
• v.20 no.3
• /
• pp.41-56
• /
• 2021

New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

• International Journal of Computer Science & Network Security
• /
• v.21 no.6
• /
• pp.107-118
• /
• 2021

The deployment of 5G is in full swing, with a significant yearly growth in the data traffic expected to reach 26% by the year and data consumption to reach 122 EB per month by 2022 [10]. In parallel, the idea of smart cities has been implemented by various governments and private organizations. One of the main objectives of 5G deployment is to help develop and realize smart cities. 5G can support the enhanced data delivery requirements and the mass connection requirements of a smart city environment. However, for specific high-demanding applications like tactile Internet, transportation, and augmented reality, the cloud-based 5G infrastructure cannot deliver the required quality of services. We suggest using multi-access edge computing (MEC) technology for smart cities' environments to provide the necessary support. In cloud computing, the dependency on a central server for computation and storage adds extra cost in terms of higher latency. We present a few scenarios to demonstrate how the MEC, with its distributed architecture and closer proximity to the end nodes can significantly improve the quality of services by reducing the latency. This paper has surveyed the existing work in MEC for 5G and highlights various challenges and opportunities. Moreover, we propose a unique framework based on the use of MEC for 5G in a smart city environment. This framework works at multiple levels, where each level has its own defined functionalities. The proposed framework uses the MEC and introduces edge-sub levels to keep the computing infrastructure much closer to the end nodes.

• Journal of Korean Society of Forest Science
• /
• v.105 no.3
• /
• pp.377-390
• /
• 2016

The aim of this study is 1) to design an auction-type and area-based payments for ecosystem services (PES) in application to private forest in Korea, 2) to develop the framework of index to implement the PES program proposed, and 3) to examine the feasibility and validity of the index framework by conducting a case study. The index framework measures quantities of ecosystem services currently supplied, improvement of ecosystem services anticipated from the proposed management activities, and real implementing costs of the program. The total scores from the case study vary from 301 to 501 for site 1, Goesan-gun and 273 to 460 for site 2, Pyeongchang-gun, respectively, indicating that total index score - measurement of cost-effectiveness - can be varied by the levels of management and real cost even if the scores from ecosystem service indicator group are the same. The index framework which can locate a cost-effective program has significant policy implication given the budget constraints in biodiversity/ecosystem services policy arena.

• Journal of Construction Engineering and Project Management
• /
• v.5 no.1
• /
• pp.11-19
• /
• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.26 no.5A
• /
• pp.779-792
• /
• 2001

차세대 IP망 기술로서 각광받고 있는 MPLS에 대한 표준화는 IETF를 중심으로 활발히 진행되고 있다. 그럼에도 불구하고 서로 다른 기술적 접근을 하고 있는 MPLS 망들의 상호 연동에 대한 표준화는 아직까지 숙제로만 남아 있다. 본 고에서는 MPLS 망들의 연동에 관한 프레임워크를 제시한다. 상호 연동 구조를 세 가지로 제시한 후 각 구조의 특징과 장단점을 분석한다. 세 가지 구조는 망들을 통과하는 LSP의 성격에 의해서 서로 구분된다. 첫째는 망들을 통과하는 LSP가 없는 구조이고, 둘째는 LSP가 있으나 연동을 위한 스테킹이 없는 구조이고, 셋째는 LSP가 있고 연동을 위한 스테킹이 있는 구조이다. 한편 최선형 서비스와 품질 보장형 서비스와 VPN (Virtual Private Network) 서비스를 위한 망들의 협약사항을 제시함으로써 이러한 연동 구조들의 기능 요구사항을 정리한다. 세 가지 구조는 각기 장단점을 가지고 있고 서비스의 종류에 따라 적합성이 다르다. 그럼에도 불구하고 연동을 위한 스테킹이 있는 구조가 확장성의 측면이나 전송시간의 측면에서 기술적 우위를 일반적으로 가진다. 그러나 MPLS의 표준화가 완성되지 않는 현 상황에서는 LSP가 없는 구조가 현실적으로 적용 가능하다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10c
• /
• pp.4-6
• /
• 2003

IP망을 활용한 VPN(Virtual Private Network)에서의 QoS 보장 메커니즘과 광대역폭 제공에 대한 해결책으로 차세대 광 인터넷을 통한 OVPN(Optical VPN) 기술이 제시되고 있다. 차세대 광 인터넷의 구현이 IP/GMPLS(Generalized Multi­Protocol Label Switching) over DWDM(Dense Wavelength Division Multiplexing) 프로토콜 프레임워크로 표준화되고 있는 현실에 비추어, IP/GMPLS over DWDM 백본망을 통한 OVPN은 차세대 가상사설망으로써 멀티미디어 서비스 제공을 위한 최적의 방안이다. 이러한 차세대 멀티미디어 서비스 제공을 위한 OVPN에서는 서비스 클래스별로 차등화된 광 QoS 제공 및 보장 기술이 절실히 요구되고 있으므로, 본 논문에서는 차등화된 광 QoS 서비스(DOQS:Differetiated Optical QoS Service)를 제공하는 OVPN모델을 제시하고 제안된 DOQS­OVPN 모델의 QoS 지원 광경로상에서의 QoS Failure에 대한 서비스별 차등화된 Recovery 능력을 갖는 QoS 보장 프로토콜 프레임워크를 제안한다.

• Journal of Korea Technology Innovation Society
• /
• v.8 no.1
• /
• pp.51-76
• /
• 2005

This paper aims to develop the intellectual capital (IC) indicators which are the most available for the E institution, a typical type of public research institute in Korea. In this paper, we basically adopted the "Intangible Assets Monitor" proposed by Sveiby and comprising three kinds of intellectual capital, namely human capital, internal structure capital and relationship capital, as a research framework. For this work, we firstly identified 12 categories and 27 components of intellectual capital for E institution. Next, we extracted 37 main indicators and 94 sub ones from these categories and components as a whole. As a result, it may be the first time in Korea for E institution of develop its own IC indicators which are slightly, or sometimes totally, different from ones for private companies in the perspective of their organizational attributes and characteristics.