• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1009-1017
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• 2010

Offering of different attractive opportunities by different wireless technologies trends the convergence of heterogeneous networks for the future wireless communication system. To make a seamless handover among the heterogeneous networks, the optimization of the power consumption, and optimal selection of interface are the challenging issues. The access of multi interfaces simultaneously reduces the handover latency and data loss in heterogeneous handover. The mobile node (MN) maintains one interface connection while other interface is used for handover process. However, it causes much battery power consumption. In this paper we propose an efficient interface selection scheme including interface selection algorithms, interface selection procedures considering battery power consumption and user mobility with other existing parameters for overlaying networks. We also propose a priority based network selection scheme according to the service types. MN‘s battery power level, provision of QoS/QoE and our proposed priority parameters are considered as more important parameters for our interface selection algorithm. The performances of the proposed scheme are verified using numerical analysis.

• Journal of Korea Multimedia Society
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• v.14 no.12
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• pp.1544-1548
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• 2011

A process of choosing a subset of original features, so called feature selection, is considered as a crucial preprocessing step to image processing applications. There are already large pools of techniques developed for machine learning and data mining fields. In this paper, basically two methods, non-feature selection and feature selection, are investigated to compare their predictive effectiveness of classification. Color co-occurrence feature is used for defining image features. Standard Sequential Forward Selection algorithm are used for feature selection to identify relevant features and redundancy among relevant features. Four color spaces, RGB, YCbCr, HSV, and Gaussian space are considered for computing color co-occurrence features. Gray-level image feature is also considered for the performance comparison reasons. The experimental results are presented.

• Journal of Environmental Impact Assessment
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• v.6 no.2
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• pp.137-152
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• 1997

The siting process of municipal solid waste treatment facility consists of a structured set of policies that guide the implementation of waste management goals. The main problems of siting process are the social and political context or the community opposition. During the past, the traditional siting process has been obsolete in most pans of the country, so public officials and researchers have tried to experiment with new policies and procedures. A number of controversial issues offer insight into the factors that are related to the local residents opposition to new waste treatment facilities. The purpose of this case study focused on the establishment of criteria in the site selection of waste treatment facilities which can carry out resources recovery. incineration and landfill simultaneously. That is to say. the main points are to make concrete the quantification standards of assignment and take an objective allotment scale according to the assessment factors. The summarized results are as follows; 1. To promote the site selection based on the guideline such as rational. objective and due process of law, it is desirable to inform the local residents the methods of assessment in advance. 2. Totally 20 factors for the site selection are divided into 3 categories such as living environment characteristics, technological location characteristics and socio-economic factors. And the supposed magnitude of weight in all items are equally applied. 3. In regard to 20 assessment factors, the allotment of point is distributed by the specific location characteristics. Namely to make the assessment easily, each factors are set the scale from 1 to 5 points en masse along the data which are acquired in the region.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1995.10a
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• pp.197-206
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• 1995

In structural design procedure, The procedure of member selection manages complex data relationship and reflects structural expert's knowledge. It is a difficult problem to construct an effective system with the conventional l programming technique. Knowledge_based s!'stem is a software system capable of supporting the explicit representation of expert's knowledge in member selection process through member data and reasoning mechanisms. This study describes useful methodology for structuring knowledge and representing relation between member data and knowledge. And this study shows the application of this member for member selection in the steel structural design.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.116-141
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• 1994

This paper presents a model for R&D project selection and evaluation system design developed through literature review. The model emphasizes the fitness between the five elements of the system : evaluation phase and purpose, personnel and organization, evaluation critiria and decision model, evaluation form and procedure, and projects. The model was applied in real situation as a test case. The important findings are that a good project selection and evaluation model contributes only partially to the effectiveness of the project selection and that system development and implementation activity is a dynamic and multi-facetted learning process.

• Journal of the Korean Society of Systems Engineering
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• v.9 no.1
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• pp.55-63
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• 2013

Nuclear power plant site selection is a complex process and its successful completion is a critical milestone in the NPP development cycle. Proper siting of NPP will ensure public health and safety, environmental conservation, reduced project failure risks and a smooth NPP development process among other benefits. The objective of this paper is to demonstrate the application of systems engineering to the problem of NPP siting in Kenya. The siting process demonstrated in this paper includes stakeholder need analysis where stakeholders are identified and their needs concerning NPP site are elicited and converted into system functional requirements. A value model is then developed and potential sites iteratively subjected to three types of criteria i.e. exclusionary criteria, avoidance criteria and suitability criteria. This process is used to identify the candidate sites. An additive value model; multiple objectives Decision Analysis (MODA) is then used to calculate candidate solutions values. The site with the highest solution value score is selected. Sensitivity studies using different criterion weight sets (thereby reflecting different viewpoints) can be conducted to assess their effect on the selection of a preferred site and thereby lend additional credibility to the decision process.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.4
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• pp.593-600
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• 2012

Thixomolding of Mg-alloy is a semi-solid injection molding process utilizing thixotropic phenomenon. Using this process, higher strength, thinner wall section and tighter tolerance without porosity are obtained. It has been applied for production of near-net-shape magnesium component. To design optimal thixomolding process of Mg-alloy part, molding conditions such as slurry temperature, mold temperature and injection time should be determined properly. Selection of these parameters has been dependent upon engineers' experience and intuitiveness. In this paper, to improve mechanical properties of the thixomolded product, optimal selection of process variables such as injection velocity, barrel temperature and die temperature in the process has been studied through microstructural analysis and Taguchi method. Performance of the process is verified through experiments.

• Korean Journal of Computational Design and Engineering
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• v.16 no.1
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• pp.61-72
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• 2011

As the customer's needs for diverse colors, the process of bus painting shop is becoming more and more complex. In particular, frequent changes of paint colors in each spray process require the cleaning of the painting nozzles and setting them up for the new paints, which results in increased time and cost and reduced production. This also increases environmental influences. This paper proposes, as a solution to this issue, the use of color selection field (CSF). CSF is physically a system of conveyors that are used to rearrange objects in a flow line. CSF is proposed, in this paper, to be introduced right before the spray process so that buses are better grouped according to their desired colors. Various parameters of the CSF, such as the number of conveyors and algorithms to determine the rearranged sequence of buses, have been determined by running simulations using the digital manufacturing technology, and investigating the simulation results. As an outcome of the proposed solution, the CSF system is expected to reduce approximately 30% of the nozzle cleaning cost for a Korean motor company case, which will not only benefit the company economically, but will also benefit the environment.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.737-746
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• 2009

The appearance of SOA affects business and IT environment and many studies on SOA is progressed in academics and industries. Service will increase extremely and make business opportunity by composing service. In addition, It will support it. However, studies on selection of a service composition target are insufficient. In this study, we propose a framework that select a service composition target so we use Analytic Hierarchy Process methodology. As a result of this study, we enabled service selection to apply functional/non-functional attributes of services, various stakeholder's view and some selection criteria with service composition.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.245-254
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• 2022

In this study, we derived selection factors for OTT services based on previous studies and presented an hierarchy process analysis model to calculate the weights for each evaluation. To evaluate the OTT selection factors, OTT customer data was used for the analysis. The results showed that of the first stage factors of economic feasibility, system excellence, convenience, diversity, playfulness, and responsiveness, diversity is the most important. When the weights for first stage and second stage factors were synthesized, entertainment was the most important factor. Lastly, this study analyzed whether there is a difference in the weight of the selection factor for the first stage of OTT service according to gender and age. This study shows which factors consumers prioritize when using OTT services.