• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.43-53
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• 2023

Objective : In this study, the rehabilitation motivation evaluation tool for stroke patients was identified, and the characteristics of the evaluation tool were analyzed to analyze the conceptual framework and characteristics used in the composition of the evaluation contents. Methods : From 2000 to May 2022, documents registered in major domestic and foreign databases (PubMed, NDSL, Medline, and EMbase) were searched and selected according to the selection and exclusion criteria. The evaluation tools used in the selected documents were analyzed, and the characteristics of this evaluation tool were analyzed. Results : A total of 30 documents were selected, and they were classified into a total of five rehabilitation motivation evaluation tools. The most widely used in Korea was the measurement tool for rehabilitation motivation for the disabled, and the most widely used overseas was the intrinsic motivation inventory. Three evaluation tools constructed the evaluation contents based on the self-determination theory, and two constructed the evaluation contents through expert agreement. The number of evaluation items and 8 to 45 items were varied, and the evaluation scale was also used in various ways from 4 to 7 point scale. Conclusion : It was possible to identify the evaluation tools mainly used for the evaluation of rehabilitation motivation, and to identify the main conceptual framework based on the development of the rehabilitation motivation evaluation tool. The results of this study are expected to be used as basic data for research on the development of rehabilitation motivation evaluation tools for stroke patients in the future.

• Journal of Powder Materials
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• v.15 no.5
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• pp.359-364
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• 2008

To satisfy the demand of higher cutting performance, mechanical properties with tungsten carbide (WC-Co) tool materials were investigated. Hardness and transverse rupture strength with WC grain size, Co content and density were measured. Compared to H, K, and S manufacture maker as tungsten carbide (WC-Co) tool materials were used for high-speed machining of end-milling operation. The three tungsten carbide (WC-Co) tool materials were evaluated by cutting of STD 11 cold-worked die steel (HRC25) under high-speed cutting condition. Also, tool life was obtained from measuring flank wear by CCD wear measuring system. Tool dynamometer was used to measure cutting force. The cutting force and tool wear are discussed along with tool material characteristics. Consequently, the end-mill of K, H manufacture maker showed higher wear-resistance due to its higher hardness, while the S maker endmill tool showed better performance for high metal removal.

• Journal of Korea Society of Industrial Information Systems
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• v.2 no.2
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• pp.159-179
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• 1997

Traditionally, the evaluation and selection of suppliers have been a major purchasing function. A growing concern for just in-time purchasing, global sourcing, and long-term partnership between buyers and suppliers makes selecting a righ supplier become more critical decision making process. Consequently, a rigorous and systematic method for evaluation suppliers is a must. However, assessing the values of factors(e.g. qulaity , delivery, and service) selected for evaluating suppliers contains elements of uncertainty. Although several methods have been developed for uncertainty analysis, they may not be proper tools for evaluating suppliers under uncertainty. In this paper, a methodology using a fuzzy-set approach in combination with a multicriterion decision-making (MCDM) technique is developed to use as a tool for evaluating suppliers under uncertainty. An numerical example is presented to demonstrate the method in practice.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.104-107
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• 1996

This paper focuses on a automation selection of optimal cutting conditions and cycle time for multi-spindle metal cutting machines based on machining parameters and tool change schemes which are the two most common terms used in the metal cutting. In this research we used two step generative approach, step 1 is mathematical modeling for the selection fo optimal cutting conditions and the other is GMDH-Type modeling to estimate the system performance evaluation. We developed computer programs for these models and the fitting manufacturing examples are applied to this model and it was shown that the proposed approach has a good potential and offers a valuable tools to analyse the metal cutting system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.41-47
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• 2007

The selection of the reasonable project delivery system (PDS) is crucial for a successful performance of a project, which means to achieve project objectives. Furthermore, the project performance has been tightly related to the selection of PDS appropriate to pertinent project characteristics. In this context, the ministry of finance and economy of Korea launched two new project delivery systems called "Best Value Contract (Design-Bid-Build)" and "Bridging Contract (Design-Build)" in October of 2007 by revising enforcement ordinances of "Act on Contracts to Which the State is a Party". For efficient operation of the new project delivery systems, this paper suggested a PDS selection model which supports decision making of the reasonable PDS for a pertinent project by assessing characteristics of the public construction projects, both quantitatively and qualitatively. In addition, a PDS performance evaluation model was proposed in order to get feedback on the result of the PDS selection and the operation for the succeeding project. The standard models suggested in this paper might be used as a tool to support the decision making of the public organizations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1406-1423
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• 2014

Multi-mode device which combines multiple access technologies into a device will offer more cost-effective solution than a sole access implementation. Its concurrent multipath transfer (CMT) technology can transmit media flows over multiple end-to-end paths simultaneously, which is essential to select at least two paths from all available paths. At real networks, different paths are likely to overlap each other and even share bottleneck, which can weaken the path diversity gained through CMT. Spurred by this observation, it is necessary to select multiple independent paths as much as possible to avoid underlying shared bottleneck between topologically joint paths. Recent research in this context has shown that different paths with shared bottleneck can weaken the path diversity gained through CMT. In our earlier work, a grouping-based multipath selection (GMS) mechanism is introduced and developed. However, how to estimating the selection is still to be resolved. In this paper, we firstly introduce a Selection Correctness Index (SCI) to evaluate the correctness of selection results in actual CMT experiment. Therefore, this metric is helpful to discuss and validate the accuracy of the output paths. From extensive experiments with a realized prototype, the proposed scheme provides better evaluation tool and criterion in various network conditions.

• Therapeutic Science for Rehabilitation
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• v.11 no.4
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• pp.41-53
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• 2022

Objective : The purpose of this study is to identify and analyze the vocational rehabilitation evaluation tool for the mentally disabled. Methods : For literature search, the Pubmed database was used, and for the analysis, the development year, evaluation method, number of items, scale, and evaluation items were analyzed. In the analysis method, each evaluation item was divided into four categories: function, internal factor, environment, and mental symptom, and the evaluation elements of each evaluation tool were identified. Results : When searching Pubmed through search terms, 161 documents were retrieved. According to the selection method, Griffiths Work Behavior Scale (GWBS), Occupational Functioning Scale (OFS), Social and Occupational Functioning Assessment Scale (SOFAS), Work Ability Index (WAI), Work Behavior Inventory (WBI), Work Environment Impact Scale (WEIS), and Work and Social Adjustment Scale (WSAS) were screened. The evaluation items of all evaluation tools included job-related functional evaluation. According to the purpose of each evaluation tool, internal factors, environment, and mental symptoms were measured. Conclusion : Occupational skills are skills in which various functions such as physical, cognitive, social skills, and coping skills act in a complex way. Therefore, it is necessary to include the four factors analyzed in this study: function, internal factors, environment, and psychiatric symptoms.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.203-209
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• 2019

The performance of an intelligent classifier for detecting malwares added to multimedia contents based on machine learning is highly dependent on the properties of feature set. Especially, in order to determine the malicious code in real time the size of feature set should be as short as possible without reducing the accuracy. In this paper, we introduce an optimal feature selection method to satisfy both high detection rate and the minimum length of feature set against the feature set provided by PEFeatureExtractor well known as a feature extraction tool. For the evaluation of the proposed method, we perform the experiments using Windows Portable Executables 32bits.

• Culinary science and hospitality research
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• v.6 no.3
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• pp.25-55
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• 2000

AS the number of tourist has been increased. hotel industry will be able to not be existed and developed if not adapted to the need of customer's which is changed according to the change of Hotel's function. Traditionally. F&B department is enlarged compared to the past. But. it cause negative result in terms of clear profit. A menu is a marketing tool which delivers restaurant's image aid message to customers and communicate need and wants to restaurant. So far, studies on menu have been done in an analytical way from a management's viewpoint and inadequate to reflect customer's need and wants. A research on customer's menu selection procedure is critical to satisfying their needs and wants yield profit. This study examined the theories on menu-design and customer behavior through literature review and verified hypotheses through an empirical analysis. A questionnaire-survey had been used in luxury hotel's main grills and all most restaurants in Seoul. Collected data were analyzed. using SPSS/PC+ package. The important findings are as follows. In this study is to examine the factors that have an influence on customer's menu selection. The factors affected the customers' menu selection of hotel restaurant in the four factors. Four factors are hotel's restaurant of environmental factor. menu-choice factor. value of menu items, information. Correction between the evaluation criteria and selection of menu was examined. All four evaluation criteria, menu-choice factor was found to be most strongly collected with selection of menu. In conclusion, As a study on the Customer' menu Selection Behavior factor of Restaurant Menus in Hotels, It raises to exert us in the menu management of hotel restaurant.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.