• Journal of the Korean Society for Precision Engineering
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• v.14 no.3
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• pp.114-121
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• 1997

In this paper, the automated initial process planning for 3-axis NC machining of sculptured surfaces is persented. The solution algorithms determining three process planning functions, i.e. machining feasibility, setup orientation and feasible machine selection are developed. The machining feasibility is determined by means of BSM(Binary Spherical Map) which derives its solution quickly in algebraic form, and the setup orientation is determined so that the cutting force is minimized. Finally, the feasible machine is determined by computing the minimum motion ranges of each control axisl. The developed algorithms are tested by numerical simulations, convincing they can by readily implemented on the CAD/CAM system as a process planner.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.15-25
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• 2002

This paper considers supplier selection process for e-business & ISO 9001 quality management system environments. Determining suitable suppliers in the electronic commerce has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In this paper, a Quality Estimated Supplier Selection (QESS) model is proposed to deal with the supplier selection problems in the e-business(Business to Business: B to B). In the supplier selection, quality management factors will be considered for the first time, and then price, and delivery etc. In the first level, we deal with the quality management factors such as quality management audit, product test, engineering man-power, capability index and training time etc., based on the five point scale. In the second level, a QESS model determines the final solution by considering factors such as price, production lead-time and delivery time.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.108-113
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• 2012

Routing paths are mightily important for the network security in WSNs. To maintain such routing paths, sustained path re-selection and path management are needed. Region segmentation based path selection method (RSPSM) provides a path selection method that a sensor network is divided into several subregions, so that the regional path selection and path management are available. Therefore, RSPSM can reduce energy consumption when the path re-selection process is executed. However, it is hard to guarantee optimized secure routing path at all times since the information using the path re-selection process is limited in scope. In this paper, we propose partial path selection method in each subregion using preselected partial paths made by RSPSM for routing path optimization in SEF based sensor networks. In the proposed method, the base station collects the information of the all partial paths from every subregion and then, evaluates all the candidates that can be the optimized routing path for each node using a evaluation function. After the evaluation process is done, the result is sent to each super DN using the global routing path information (GPI) message. Thus, each super DN provides the optimized secure routing paths using the GPI. We show the effectiveness of the proposed method via the simulation results. We expect that our method can be useful for the improvement of RSPSM.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.3
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• pp.487-496
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• 2018

In route selection process of NIMBY facilities, many conflicts occur due to route selection procedure and NIMBY syndrome. Especially, the social conflicts surrounding the site selection and operation are frequent enough to account for 70% of the total conflict cases, causing significant losses. To resolve the conflict in route selection, social conflicts are considered. Therefore, this study proposes an improved process of selecting route considering social conflicts in the power transmission line. First, the analysis of previous research trends and interviews with experts revealed the improved exclusion zone criteria, the factors and priorities of NIMBY facilities. After selecting the candidate routes, the optimal route is selected by using Fuzzy-TOPSIS. Hence, 83.3% of six experts have verified that this model minimizes conflicts and has sufficient applicability. The proposed model is expected to be used as a tool to minimize social conflict in the selection process of the power transmission line in the early stage of the project.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.239-246
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• 2008

The supplier selection has a direct effect on the organization's efficiency, effectiveness and competitiveness, so the right supplier selection is the most important decision of a company. In order to select the best suppliers, both qualitative and quantitative factors should be considered. To decide which suppliers are the best and how much should be purchased from each selected supplier, many models which considered a single objective and multiple objectives have been proposed. But they have problems in considering qualitative factors which are very important in supplier selection. So in this article an integration model of an analytical hierarchy process and linear programming is proposed to consider both qualitative and quantitative factors in choosing the best suppliers and placing the optimum order quantities among them. This integrated model can be applied effectively and easily any organization and management circumstances.

• Journal of Communications and Networks
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• v.18 no.1
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• pp.50-64
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• 2016

Nowadays, smart meter (SM) technology is widely effectively used. In addition, power allocation (PA) and channel selection (CS) are considered problems with many proposed approaches. In this paper, we will suggest a specific scenario for an SM configuration system and show how to solve the optimization problem for transmission between SMs and the data concentrator unit (DCU), the center that collects the data from several SMs, via simulation. An efficient CS with PA scheme is proposed in the TV white space system, which uses the TV band spectrum. On the basic of the optimal configuration requirements, SMs can have a transmission schedule and channel selection to obtain the optimal efficiency of using spectrum resources when transmitting data to the DCU. The optimal goals discussed in this paper are the maximum capacity or maximum channel efficiency and the maximum allowable power of the SMs used to satisfy the quality of service without harm to another wireless system. In addition, minimization of the interference to the digital television system and other SMs is also important and needs to be considered when the solving coexistence scenario. Further, we propose a process that performs an interference analysis scheme by using the spectrum engineering advanced Monte Carlo analysis tool (SEAMCAT), which is an integrated software tool based on a Monte-Carlo simulation method. Briefly, the process is as follows: The optimization process implemented by genetic evolution optimization engines, i.e., a genetic algorithm, will calculate the best configuration for the SM system on the basis of the interference limitation for each SM by SEAMCAT in a specific configuration, which reaches the solution with the best defined optimal goal satisfaction.

• Journal of Electrical Engineering and Technology
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• v.13 no.3
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• pp.1202-1211
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• 2018

In this paper, induction machine operation efficiency and torque is improved using Machine Learning based Gene Optimization (ML-GO) Technique is introduced. Optimized Genetic Algorithm (OGA) is used to select the optimal induction machine data. In OGA, selection, crossover and mutation process is carried out to find the optimal electrical machine data for induction machine design. Initially, many number of induction machine data are given as input for OGA. Then, fitness value is calculated for all induction machine data to find whether the criterion is satisfied or not through fitness function (i.e., objective function such as starting to full load torque ratio, rotor current, power factor and maximum flux density of stator and rotor teeth). When the criterion is not satisfied, annealed selection approach in OGA is used to move the selection criteria from exploration to exploitation to attain the optimal solution (i.e., efficient machine data). After the selection process, two point crossovers is carried out to select two crossover points within a chromosomes (i.e., design variables) and then swaps two parent's chromosomes for producing two new offspring. Finally, Adaptive Levy Mutation is used in OGA to select any value in random manner and gets mutated to obtain the optimal value. This process gets iterated till finding the optimal value for induction machine design. Experimental evaluation of ML-GO technique is carried out with performance metrics such as torque, rotor current, induction machine operation efficiency and rotor power factor compared to the state-of-the-art works.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.71-74
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• 2014

Mobile apps have been developed actively using open source software recently. Tend to be used much more than the component of the functional role on the ground that the reuse of components for the User Interface is an open source implementation of the mobile component is easy. The problem is to apply as an open source mobile components selected for this reason all of the existing two studies. It is an open source software selection process and selection procedures shelf components. We revise to conform to existing mobile components selected for the study on open source software selection process in this paper. Can help increase the productivity of the mobile app development by the open source components to meet the functional requirements when developing mobile apps that can be easily retrieved and presented the selection process of this study is effective.

• 한국체육학회지인문사회과학편
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• v.55 no.6
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• pp.551-560
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• 2016

The purpose of this study was to explore how SCUBA diving instructors' perception on their divers affects the buddy selection process in SCUBA diving clubs. For the purpose of this study, 6 people who have more than 5 year experiences and have been working as instructor in scuba diving clubs were selected as research participants. The results are as follows. First, they perceived necessity of buddy selection through awareness of importance of buddy through education and through partner perception to overcome perceived danger. Second, when selecting a buddy, they established standards according to level whether they have a rescue diver license and secured standards through new sense of value. Third, buddy selection determinants were interaction between buddies, mutual trust and realization of buddy's role. As such, a SCUBA diver should select other buddy to perform pair diving and buddy is selected based on relationship such as mutual communication, mutual trust and belief. When they perform buddy's role comprehensively based on mutual relationship with buddy, continuous relationship as buddies can be built.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.171-199
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• 2023

The purpose of this study was to develop an evaluation tool for selecting new projects for R&D project planning level of K Research Institute. For this purpose, items and questions for R&D project selection evaluation were developed based on the CIPP model and previous studies on selection evaluation and evaluation indicators for research project evaluation, and then two Delphi surveys were conducted. The developed evaluation tool was surveyed by 13 experts to verify contents validity ratio, convergence and consensus. The finally selected evaluation tool for R&D project planning consisted of 21 questions in 8 items, including 5 questions for context evaluation, 2 questions for input evaluation, 8 questions for process evaluation, and 6 questions for product evaluation. The evaluation tool developed will contribute to the solution of problems in the bottom-up planning process and to the improvement of the planning competence of the researchers. It will also contribute to improve the consistency and efficiency of evaluation during the selection process.