• Journal of Information Science Theory and Practice
• /
• v.2 no.4
• /
• pp.6-19
• /
• 2014

The description of preserved resources is one of the requirements in digital preservation. The description is generally created in the format of metadata records, and those records are combined to generate information packages to support the process of digital preservation. However, current strategies or models of digital preservation may not generate information packages in efficient ways. To overcome these problems, this research proposed an internal structure of information packages in digital preservation. In order to construct the internal structure, this research analyzed existing metadata standards and cataloging rules such as Dublin Core, MARC, and FRBR to extract the core elements of resource description. The extracted elements were categorized according to their semantics and functions, which resulted in three categories of core elements. These categories and core elements were manifested by using RDF syntax in order to be substantially applied to combine metadata records in digital preservation. Although the internal structure is not intended to create metadata records, it is expected to provide an alternative approach to enable combining existing metadata records in the context of digital preservation in a more flexible way.

• Electronics and Telecommunications Trends
• /
• v.38 no.2
• /
• pp.26-35
• /
• 2023

Energy efficiency is an important factor toward sustainable future mobile network systems. As the size of the 5G mobile network system increases, the consumption and costs of energy increase. Accordingly, energy-saving optimization has become a major process in network systems, and various related technologies for energy saving are being developed. We provide a brief review of the technical trends in energy saving in 3GPP 5G & 5G Advanced systems and O-RAN systems. We focus on power models and energy-saving technologies in various resource domains of 3GPP 5G & 5G Advanced systems and energy-saving use cases of O-RAN systems.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.7 no.5
• /
• pp.267-275
• /
• 2012

In this paper, we present the model-based autonomic computing framework for a cyber-physical system which provides a self-management and a self-adaptation characteristics. A development process using this framework consists of two phases: a design phase in which a developer models faults, normal status constrains, and goals of the CPS, and an operational phase in which an autonomic computing engine operates monitor-analysis-plan-execute(MAPE) cycle for managed resources of the CPS. We design a hierachical architecture for autonomic computing engines and adopt the Model Reference Adaptive Control(MRAC) as a basic feedback loop model to separate goals and resource management. According to the GroundVehicle example, we demonstrate the effectiveness of the framework.

• Journal of Korean Library and Information Science Society
• /
• v.29
• /
• pp.1-25
• /
• 1998

Effectiveness is a major concern in organizations of all sorts. Library researchers have been particularly active recently in trying to define, measure, and promote library effectiveness. The purpose of this study is to place library effectiveness in the context of theoretical and empirical work on organizational effectiveness. Four major approaches to organizational effectiveness can be identified. The goal model defines an effective organizations as one that meets its goals. The system resource model emphasizes the organization's need to acquire resources from its environment. The process model sees organizations as social systems seeking to survive and maintain their equilibrium. The multiple constituencies defines effectiveness as the degree to which the needs and expectations of strategic constituencies are met. These models are not necessarily contradictory but may be seen as emphasizing different aspects of organizational performance or values. This study also reports four findings of the library effectiveness. They are significant as the empirical investigation into the dimensions of the construct of library effectiveness. The result shows that organizational effectiveness of libraries is, indeed, a multidimensional construct, implying that no single measure of effectiveness is sufficient to describe an organization.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.3
• /
• pp.615-621
• /
• 1999

On the aspect of on-time and development resource use, it is very important to predict the software release time during the software development process. In this paper, we present the optimal release problem based on the evaluation indicator and cost evaluation. And also we show the optimal release point considered with both of them. We applied the Exponential Software Reliability Growth Model(E-SRGM) and Testing-effort dependent Software Reliability Growth Model(Te-SRGM) and decided the software release time according to software reliability indicator. As a result of two models comparison, we verify the Te-SRGM is more adopted in our switching system software.

• Environmental and Resource Economics Review
• /
• v.20 no.1
• /
• pp.119-153
• /
• 2011

This study reviews various aspects of model formulating processes of dichotomous choice responses of the contingent valuation method (CVM), which has been increasingly used in the preliminary feasibility test of Korea public investment projects. The theoretical review emphasizes the consistency between WTP estimation process and WTP measurement process. The empirical analysis suggests that two common parametric models for dichotmous choice responses (RUM and RWTP) and two commonly used probability distributions of random components (probit and logit) resulted in all most the same empirical WTP distributions, as long as the WTP functions are specified to be a linear function of the bid amounts. However, the efficiency gain of DB response compared to SB response were supported on the ground that the two CV responses are derived from the same WTP distribution. Moreover for the exponential WTP function which guarantees the non-negative WTP measures, sample mean WTP were quite different from median WTP if the scale parameter of WTP function turned out to be large.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.151-158
• /
• 2003

Recently, the off-line processes in the construction industry are being changed to the electronic processes by several information technology (IT) tools including CALS. To improve the business processes to on-line processes, the business process reengineering (BPR) is a representative methodology for reviewing unnecessary and additional processes from the established business procedure. This study suggests a new process modeling method for construction BPR (CBPR) that consists of object-related process model (ORPM). In suggested modeling method, the connection with IT tools such as Workflow, enterprise resource planning (ERP), construction CALS, and business breakdown structure (BBS) was considered. The ORPM in the study is the main model for representing the detailed construction processes. It consists of nine relationship and six diagrams to represent the relationship between construction activities and the direction within the process model. Those models suggested from this study can be a useful tool for the CBPR because the researches and the practical applications related to the BPR of construction project are insufficient in our construction industry.

• New & Renewable Energy
• /
• v.4 no.4
• /
• pp.23-29
• /
• 2008

Wind farm development project contains high business risks because that a wind farm, which is to be operating for 20 years, has to be designed and assessed only relying on a year or little more in-situ wind data. Accordingly, long-term correction of short-term measurement data is one of most important process in wind resource assessment for project feasibility investigation. This paper shows comparison of general Measure-Correlate-Prediction models and neural network, and presents new method using neural network for increasing prediction accuracy by accommodating multiple reference data. The proposed method would be interim step to complete long-term correction methodology for Korea, complicated Monsoon country where seasonal and diurnal variation of local meteorology is very wide.

• Journal of the Korea Society for Simulation
• /
• v.18 no.2
• /
• pp.29-38
• /
• 2009

In the computing environment with heterogeneous resources, a job scheduling model is necessary for effective resource utilization and high-speed data processing. And, the job scheduling model has to cope with a dynamic change in the condition of resources. There have been lots of researches on resource estimation methods and heuristic algorithms about how to distribute and allocate jobs to heterogeneous resources. But, existing researches have a weakness for system compatibility and scalability because they do not support the standard language. Also, they are impossible to process jobs effectively and deal with a variety of computing situations in which the condition of resources is dynamically changed in real-time. In order to solve the problems of existing researches, this paper proposes a semantic computing-based dynamic job scheduling model that defines various knowledge-based rules for job scheduling methods adaptable to changes in resource condition and allocate a job to the best suited resource through inference. This paper also constructs a resource ontology to manage information about heterogeneous resources without difficulty as using the OWL, the standard ontology language established by W3C. Experimental results shows that the proposed scheduling model outperforms existing scheduling models, in terms of throughput, job loss, and turn around time.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.33 no.3
• /
• pp.55-62
• /
• 2010

Currently, cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as key decision points. Parametric cost estimating models have been used extensively to obtain appropriate cost estimates in early acquisition phase. However, they have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed in the U.S.A. environment. In order to obtain a good R&D cost estimate, developing our own CERs (Cost Estimation Relationships) using historical R&D data is essential. Nevertheless, there has been little research to develop our own CERs. In this research, we established a CER development process and found some cost drivers in the historical movement weapon system R&D data. The R&D CER is developed using the PCR(Principle Component Regression) method to remove multicollinearity among data and to overcome the restriction of the insufficient number of sample. At least, this research is meaningful as a first attempt in terms of defining the CER development process and obtaining our own R&D CER based on the historical data in Korean weapon system R&D environment.