• Korean Management Science Review
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• v.12 no.1
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• pp.35-50
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is also invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by author, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE was constructed by using the tools of VP-Expert expert system shell, DBASEIII plus, FORTRAN 77, and SLAMII simulation language. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.689-693
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• 1996

This paper was performed on the automatic selection of cutting condition on multispindle machine. the several mathematical relationships were formulated for simulataneous selection of machining parameters and tool changing scheme. In this research we used two step generative approach; step 1 is mathematical modeling for the selection of optimal cutting conditions and the other is GMDH-TYPE modeling to find prediction equation of system performance. thus in this paper, mathematical machining models combined with a heuristic GMDH-TYPE modeling to estimate the system performance, these models are developed computer programs for practical application and it was shown that the proposed approach has a good potential and offers a valuable tools to performance evaluation for metal cutting system.

• Journal of Crop Science and Biotechnology
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• v.10 no.4
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• pp.211-222
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• 2007

Selection of the appropriate parents to be used in artificial crosses is one of the main decisions faced by plant breeders that will facilitate the exploitation of maximum genetic variability and production of superior recombinant genotypes. Several techniques have been used in aiding the identification of genotypes with promising and desirable agronomical traits for hybridization. In this way, the objective of the present review is to gather available information for the selection of parents based on different breeding designs and analytical tools showing their similarities and highlighting the main advantages and disadvantages of their use.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.3 s.96
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• pp.215-221
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• 1999

The object of the thermal error compensation system in machine tools is improving the accuracy of a machine tool through real time error compensation. The accuracy of the machine tool totally depends on the accuracy of thermal error model. A thermal error model can be obtained by appropriate combination of temperature variables. The proposed method for optimal variable selection in the thermal error model is based on correlation grouping and successive regression analysis. Collinearity matter is improved with the correlation grouping and the judgment function which minimizes residual mean square is used. The linear model is more robust against measurement noises than an engineering judgement model that includes the higher order terms of variables. The proposed method is more effective for the applications in real time error compensation because of the reduction in computational time, sufficient model accuracy, and the robustness.

• Child Health Nursing Research
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• v.24 no.1
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• pp.78-90
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• 2018

Purpose: The purpose of this study was to evaluate measurement properties of self-report questionnaires measuring the social adjustment for youth after treatment of childhood cancer. Methods: Social adjustment measurement tools were identified through a two-stage systematic review. First, we searched for articles using self-report questionnaires to measure the social adjustment of youth after the treatment of childhood cancer. The appropriate tools were listed and categorized. Second, using methodological filters, we searched 5 electronic databases for articles examining the measurement properties of the tools when used with youth after the treatment of childhood cancer. The quality of these papers was then evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. Results: Eight tools were frequently used to measure social adjustment. Eight studies investigated the measurement properties of 4 of these tools. The PedsQL 4.0 and MMQL-AF had moderate to strong evidence in some domains, but the rest of the domains had a lack of evidence. The SF-36 and KIDSCREEN-27 were validated for only a few areas. Conclusion: We found a lack of evidence regarding the measurement properties of these tools. More research is required on the measurement properties of tools for use in this population.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.37-48
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• 2018

The 2015 revised national curriculum includes SW courses to improve computational thinking, and a variety of physical computing tools for learning are on sale for use in education. The purpose of this study is to provide a basis for selecting physical computing tool for learning suitable for learning situations and learning purposes, and to provide a reasonable basis for judging the choice of tools in the field. Delphi survey method was used as a reference method for developing evaluation criteria through 25 expert panels. As a result, the criterion of evaluation of the learning tool composed of 40 essential and 11 selection criteria for 7 domains was presented. In addition, the evaluation results of five kinds of learning tools commercialized through the evaluation criteria of the learning tool were analyzed. The evaluation criteria for the learning tools developed through this study are expected to help teachers select rational learning tools and help learning tool developers develop learning tools.

• Journal of Korean Library and Information Science Society
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• v.45 no.3
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• pp.141-168
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• 2014

Public libraries and the Library & Information Sciences departments at Korean universities are increasingly interested in the application of a variety of bibliotherapy methods. Bibliotherapy serves as a therapy to understand a client and participants basic material sources and the effects of that particular treatment (necessary for program verification of psychological tools utilized). Its design is based both on literature selection and employed activities tools. Currently, bibliotherapy has been used mainly as a method to understand and diagnose a client and participants using simple and uniform questions. The development of appropriate and, possibly, additional assessment tools and report forms required for bibliotherapy evaluations in this study will be applied to actual case scenarios to determine the validity of this program and/or tools.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.17-25
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• 2017

In this paper, we compared four analyzers Clang, CppCheck, Compass, and a commercial one from a domestic startup using the NIST's Juliet test suit and STONESOUP that is introduced recently. Tools showed detection efficacy in the order of Clang, CppCheck, the domestic one, and Compass under Juliet tests; and Clang, the domestic one, Compass, and CppCheck under STONESOUP tests. We expect it would be desirable to utilize symbolic execution for vulnerability analysis in the future. On the other hand, the results of tool evaluation also testifies that Juliet and STONESOUP as a benchmark for static analysis tools can reveal differences among tools. Finally, each analyzer has different CWEs that it can detect all given test programs. This result can be used for selection of proper tools with respect to specific CWEs.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.243-248
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• 2018

The most important factor for collaborative learning to be effective is the selection of tools that constitute groups. Grouping is to facilitate collaborative learning, learners form groups based on various characteristics. If a group of students fails to form properly due to the selection of the wrong tools, problems can arise where complaints from students can lead to lectures and the effects of learning. In this paper, we have implemented a group of configuration tools that considered improving learning effects and diagnosing bulling tendency. We have proposed a group composition tool that can take into consideration the learning effect and also diagnose the tendency of the bullring by constructing the group according to the teacher's preference by inputting the class preference and the student's grade through the sociometry survey. We expect that the teacher will be able to grasp the students' friendship in advance and cope with the bulling that can happen in the class, as well as the cooperative learning that can lead the class to improve the learning effect.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.65-71
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• 2016

Cooperative relaying systems have been studied actively to improve the system performance effectively in wireless fading channels. Most of the cooperative relay studies are assumed fixed relay, recently the performance analysis of the cooperative relaying systems with spatially random relays considering the practical mobile environment are introduced. However the comparative studies for relay selection methods of incremental cooperative relay systems, the performance of which is influenced by the selection methods, have not been studied. Therefore we derive the performance of the system which has MRC(Maximal-ratio combining) with Max SNR(signal-to-noise ratio) selection or Max-min SNR selection, respectively. And the outage performances of the system with Max or Max-min selection method are compared for different transmit power allocation to the source and to the relays. The analytical results serve as useful tools for relay selection and power allocation to transmit nodes for opportunistic incremental relaying systems.