• Journal of Digital Convergence
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• v.14 no.5
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• pp.293-300
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• 2016

DRM software should conform completeness, correctness and appropriateness for the related function to protect digital right properly. Therefore, the systematization of functionality evaluation method based on the related standard is essentially required. In this paper, based on the software quality standard, I intended to construct a model to measure the quality about functionality including suitability, accuracy and interoperability of DRM software. To this, we developed functional suitability evaluation model by analyzing infra-technology of DRM software and quality requirements about functional suitability. I think that through this study, functionality criteria to enhance the quality level of DRM software. Through the accumulation of future evaluation practices, it is necessary to improve the suitability and validity of the DRM software functional suitability evaluation model.

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.535-542
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• 2001

The objective of this study is to develop a spatial analysis modeling technique to evaluate the functional suitability of forest lands for land slide prevention. The functional suitability is classified into 3 categories of high, medium and low according to the potential of land slide on forest lands. The potential of land slide hazards is estimated using the measurements of 7 major site factors : slope, bed rock, soil depth, shape of slope, forest type and D.B.H. class of trees. The analytic hierarchical process is applied to determining the relative weight of site factors in estimating the potential of land slides. The spatial analysis modeling starts building base layers for the 7 major site factors by $25m{\times}25m$ grid analysis or TIN analysis, reclassifies them and produces new layers containing standardized attribute values, needed in estimating land slide potential. To these attributes, applied is the weight for the corresponding site factor to build the suitability classification map by map algebra analysis. Then, finally, cell-grouping operations convert the suitability classification map to the land unit function map. The whole procedures of the spatial analysis modeling are presented in this paper.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• Journal of the Ergonomics Society of Korea
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• v.34 no.1
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• pp.29-43
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• 2015

Objective: The aim of this study is to develop management guidelines and a procedure for an anthropometric suitability assessment of the main control room (MCR) in nuclear power plants (NPPs). Background: The condition of the MCR should be suitable for the work crews in NPPs. The suitability of the MCR depends closely on the anthropometric dimensions and ergonomic factors of the users. In particular, the MCR workspace design in NPPs is important due to the close relationship with operating crews and their work failures. Many documents and criteria have recommended that anthropometry dimensions and their studies are one of the foremost processes of the MCR design in NPPs. If these factors are not properly considered, users can feel burdened about their work and the human errors that might occur. Method: The procedure for the anthropometric suitability assessment consists of 5 phases: 1) selection of the anthropometric suitability evaluation dimensions, 2) establishment of a measurement method according to the evaluation dimensions, 3) establishment of criteria for suitability evaluation dimensions, 4) establishment of rating scale and improvement methods according to the evaluation dimensions, and 5) assessment of the final grade for evaluation dimensions. The management guidelines for an anthropometric suitability assessment were completed using 10 factors: 1) director, 2) subject, 3) evaluation period, 4) measurement method and criteria, 5) selection of equipment, 6) measurement and evaluation, 7) suitability evaluation, 8) data sharing, 9) data storage, and 10) management according to the suitability grade. Results: We propose a set of 17 anthropometric dimensions for the size, cognition/perception action/behavior, and their relationships with human errors regarding the MCR design variables through a case study. The 17 selected dimensions are height, sitting height, eye height from floor, eye height above seat, arm length, functional reach, extended functional reach, radius reach, visual field, peripheral perception, hyperopia/myopia/astigmatism, color blindness, auditory acuity, finger dexterity, hand function, body angle, and manual muscle test. We proposed criteria on these 17 anthropometric dimensions for a suitability evaluation and suggested an improvement method according to the evaluation dimensions. Conclusion: The results of this study can improve the human performance of the crew in an MCR. These management guidelines and a procedure for an anthropometric suitability assessment will be able to prevent human errors due to inadequate anthropometric dimensions. Application: The proposed set of anthropometric dimensions can be integrated into a managerial index for the anthropometric suitability of the operating crews for more careful countermeasures to human errors in NPPs.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.556-565
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• 2009

This study investigates the effect of Alpha-numeric brand name on the product suitability, brand personality, and attitude. To do that we have chosen the functional sportswear, knowing the fact that the Alpha-numeric brand names are not hard to find in this industry. The changes have been made to Alpha-numeric names, such as the usage/non-usage of number, the size of number being used, the writing method, and the different typeface to suit for the study purpose. The results indicate that the Alpha-numeric brand names do have the effect on increasing the fitness for the product's brand. The bigger number and the cursive script will improve the product's suitability. The customers form positive attitude and favorability on the Alpha-numeric brand name compared to the regular brand name in this industry. The contribution of the study is to dig out the distinction of the communicational effects on the customers when the Alpha-numeric brand names take on the different forms. Therefore the current study enlights the practical value of Alpha-numeric brand name as part of the branding strategy.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.384-404
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• 2019

This study investigates the multidimensional structure of apparel design evaluation criteria and the details of each criterion by exploring how female college students majoring in apparel design in their 20s evaluate apparel design based on an exploratory approach. Data were analyzed through a categorization method of qualitative data after collecting from a literature review and three focus group interviews. The results identified the six evaluation criteria of apparel design (functional usefulness, convenience, aesthetics, psychological self suitability, social activity usefulness, and fashion trend). Functional usefulness and convenience assessed the extent to which primary features of apparel are reflected in apparel design, and aesthetics evaluated the aesthetic beauty of apparel design. Psychological self suitability estimated the extent to which apparel design expressed psychological self properly, and social activity usefulness appraised the extent to which apparel design contributed to the social activities of wearers. Last, fashion trend assessed the extent to which apparel design reflected fashion trend. The study results provide meaningful implications towards an apparel industry that wants to develop apparel design that appeals to consumers, educational institutions that aim to cultivate well-trained professionals in the apparel industry, and consumers who want to purchase clothes of satisfactory design.

• Advanced Industrial SCIence
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• v.1 no.1
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• pp.28-34
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• 2022

Many studies have been conducted on software quality evaluation. Recently, as artificial intelligence-related software has been developed a lot, research on methods for evaluating artificial intelligence functions in existing software is being conducted. Software evaluation has been based on eight quality characteristics: functional suitability, reliability, usability, maintainability, performance efficiency, portability, compatibility, and security. Research on the part that needs to be confirmed through evaluation of the function of the intelligence part is in progress. This study intends to introduce the contents of the evaluation method in this part. We are going to propose a quality evaluation method for artificial intelligence software by presenting the existing software quality evaluation method and the part to be considered in the AI part.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.253-259
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• 2016

Recently, not only domestic businesses but also overseas businesses are expanding development and investment in automated warehouses as domestic and foreign logistics environments undergo drastic change. In such an environment, automated warehouse systems are being rapidly changed, and automated warehouse systems equipped with diversified functions are being developed accordingly. But the assessment systems of developed automated warehouse system is at a standstill. In the present article, characteristics of the automated warehouse systems in diversified development and trends of technology were analyzed, based on which evaluation items of functional suitability and reliability were derived by referring to ISO/IEC 25000 as the international quality assessment standard to secure reliability of the automated warehouse system, and an evaluation model was developed through the derived evaluation items. Through the present article, evaluation standards of functional suitability and reliability to enhance quality levels of automated warehouse systems are considered to be secured.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.259-274
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• 2012

A well organized system requirements provide a solid basis of achiving a successful project and are effective methods of communication among stakeholders. We illustrate and propose a 'System Requirement Development Framework' to develop correct requirements as a methodical approach. We first organize a 'Requirement Development Process' and then establish a 'Non-Functional Requirements Principle'. On these basis, we next propose a 'Requirement Development Guideline' from a perspective of 'Functional Requirement', 'Non-Functional Requirement' and 'Triage' in advanced stages. We also verify and evaluate the suitability of our proposed 'System Requirement Development Framework' by applying it to several projects.

• Journal of Fashion Business
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• v.24 no.4
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• pp.48-62
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• 2020

Originating in South Korea, Taekwondo has been globally popular among individuals who desire to improve their health in a unique fashion. The Taekwondo uniform, one of the essential factors within the sport, needs to possess both functionality and size suitability to support dynamic movements within Taekwondo. This study investigated the development of patterns in Taekwondo uniforms by suggesting patterns that reflect physical suitability derived from appearance tests and movement functionality tests of the uniforms. More specifically, we selected a sample uniform and conducted a dressing test, which considered both the aesthetics and the functionality of the garment. Then, we considered size suitability, which allowed us to design practical Taekwondo uniform patterns that encompassed more variation in body sizes of both men and women. The result of the dressing test was that women's uniforms typically required more factors compared to men's uniforms due to women's relatively smaller physiques. Based on this result, we revised the pattern to also encompass the minor differences in uniforms between men and women. In the end, the Taekwondo uniforms for women required more modifications than those for men.