• Journal of KIISE:Computer Systems and Theory
• /
• v.35 no.5
• /
• pp.187-198
• /
• 2008

This paper develops a framework for efficient resource management within the grid service environment. Resource management is the core element of the grid service; therefore, GridRMF(Grid Resource Management Framework) is modeled and developed in order to respond to such variable characteristics of resources as accordingly as possible. GridRMF uses the participation level of grid resource as a basis of its hierarchical management. This hierarchical management divides managing domains into two parts: VMS(Virtual Organization Management System) for virtual organization management and RMS(Resource Management System) for metadata management. VMS mediates resources according to optimal virtual organization selection mechanism, and responds to malfunctions of the virtual organization by LRM(Local Resource Manager) automatic recovery mechanism. RMS, on the other hand, responds to load balance and fault by applying resource status monitoring information into adaptive performance-based task allocation algorithm.

• 한국신재생에너지학회:학술대회논문집
• /
• 2010.11a
• /
• pp.191-191
• /
• 2010

As many researchers want to predict or assess more about wind condition and wind power generation, CFD(Computational Fluid Dynamics) analysis method is very good way to do predict or assess wind condition and power generation. But CFD analysis is needed much knowledge of aerodynamics and physical fluid theory. In this paper, Auto-Wind CFD analysis program will be introduced. User does not need specific knowledge of CFD or fluid theory. This program just needs topographical data and wind data for initial condition. Then all of process is running automatically without any order of user. And this program gives for user to select and set initial condition for advanced solving CFD. At the last procedure of solving, Auto-Wind program shows analysis of topography and wind condition of target area. Moreover, Auto-Wind can predict wind power generation with calculation in the program. This Auto-Wind analysis program will be good tool for many wind power researchers in real field.

• Journal of the Korean Home Economics Association
• /
• v.47 no.6
• /
• pp.79-90
• /
• 2009

The purpose of this study was to improve the understanding of housing experiences of the married women in Korean sociocultural context and to explore their housing mobility. The grounded theory was adopted in this qualitative study. Data were collected through in-depth interviews with the seventeen married women. The major categories found in the data are 1) the inducement of housing mobility, 2) social constraint and opportunity, 3) the strategy and resource of housing mobility, 4) the intervening conditions, and 5) self-evaluation of their own housing life history. People construct their housing life history toward home ownership. There are a few factors to induce housing mobility, and social constraints and opportunity have an effect on obtaining home ownership. They utilize the diverse strategy and resource to solve their housing matter. Through interview, it is founded that they evaluate their housing career in the light of their life through interview.

• Journal of Family Resource Management and Policy Review
• /
• v.12 no.2
• /
• pp.31-55
• /
• 2008

Human capital theory and social capital theory provide a framework for analyzing economic well-being. The purpose of this study was to investigate the effects of human capital and social capital on the economic well-being of the elderly. The data from the 1st wave of KLoSA (Korean Longitudinal Study of Aging) were used (n=3,426). The major findings were as follows: First, human capital and social capital are both resources that can contribute to increasing the economic well-being of the elderly. Second, the effects of human capital on the economic well-being of the elderly were relatively higher than the effects of social capital. Third, the relative contributions of human capital and social capital to increasing economic well-being varied by sex, age, and region. Based on the empirical results, the implications for social investment in human capital and social capital were provided.

• Korean System Dynamics Review
• /
• v.15 no.4
• /
• pp.85-100
• /
• 2014

We propose a composite make or buy decision model considering both the transaction cost theory and the resource based view in the Korean defense industry using System Dynamics. We analyze relationship between core variables(transaction frequency, technological uncertainty, the level of technological dependency, technological level and acquisition ability for market information) and 'Make or Buy decision' focused on technological innovation capability. Based on the result, we propose the implications as follows : First, the defence industry needs more R&D investment. Second, it needs a balance between domestic(Make) and overseas(Buy) to increase the technological capability rapidly.

• Journal of Families and Better Life
• /
• v.24 no.3 s.81
• /
• pp.1-14
• /
• 2006

The purpose of this study was to introduce the concept of social capital to the studies of human ecology in Korea. Social capital theory provides a framework for analyzing well being of families because the concept of social capital can be understood as an important family resource, including social networks, social supports, and family structure. The utilization of the social capital theory, considering both positive and negative effects on equality, in the studies of human ecology is expected to contribute to the social understanding of the characteristics of households as a system that are related with environments, and provide a basic theoretical framework for discussing family structure, human capital development, poverty, and healthy families.

• Journal of Korea Port Economic Association
• /
• v.22 no.1
• /
• pp.151-173
• /
• 2006

This paper aims to explore the strategic roles of information and strategic planning capabilities for firms' performance, and to examine the direct and indirect relationships between information capability, strategic planning capability, logistics performance and competitive advantage. The present research adopts resource based theory (RBT) to explore the relationships between a firm's specific capability and its performance and employs structural equation modelling (SEM) in order to test the validation of the measurement models and examine the relationships between construct variables. The current empirical test was conducted using the data collected from logistics managers of 101 Korean electronics companies. The empirical research presents positive influential relationships between (1) information/planning formality capability and strategic planning capability; (2) strategic planning capability and logistics performance; (3) logistics performance and competitive advantage; and (4) competitive advantage and competitive position in the market.

• IE interfaces
• /
• v.16 no.spc
• /
• pp.93-98
• /
• 2003

This paper addresses an AGV dispatching problem in semiconductor clean-room bays where AGVs move cassettes of wafers between machines or machines and a central buffer. Since each machine in a bay has a local buffer of limited capacity, material flow should be controlled in a careful way to maintain high system performance. It is regarded that two most important performance measures in a semiconductor bay are throughput rate and lead-time. The throughput rate is determined by a bottleneck resource and the lead-time depends on smooth material flow in the system. This paper presents an AGV dispatching procedure based on the concept of theory of constraints (TOC), by which dispatching decisions are made to utilize the bottleneck resource at the maximum level and to smooth the flow of material. The new dispatching procedure is compared with existing dispatching rules through simulation experiments.

• Proceedings of the IEEK Conference
• /
• 2007.07a
• /
• pp.195-196
• /
• 2007

The purpose of this paper is to analyze the resource allocation problem in a self organizing network from the viewpoint of game theory. The main focus is to suggest the model and analyze a power control algorithm in wireless ad-hoc networks using non cooperative games. Our approach is based on a model for the level of satisfaction and utility a wireless user in a self organizing network derives from using the system. Using this model, we show a distributed power control scheme that maximizes utility of each user in the network. Formulating this as a non-cooperative game we will show the feasibility of such power control as well as existence of the Nash Equilibrium achieved by the non-cooperative game.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.10
• /
• pp.3771-3788
• /
• 2015

This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.