• 산업경영시스템학회지
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• 제27권4호
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• pp.94-104
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• 2004

This paper proposed a new method to evaluate service quality attribute of perceived service quality in public sectors, using triangle fuzzy numbers and hamming distance. Our method measured the ratio of the expected and perceived service for the customers' perceived service quality. By using fuzzy numbers, This method not only overcomes linguistic variable problems but also provides more objective and direct information for service quality attributes. The discrepancy rate between expected service and perceived service that is perceived service quality is evaluated by hamming distance. To evaluate the discrepancy rate from hamming distance, we induced general solutions to compute the intersection area between two triangle fuzzy numbers and the weak or strong attributes in public sectors are clarified.

• 산업경영시스템학회지
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• 제38권4호
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• pp.45-55
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• 2015

In this paper, we consider curriculum mining as an application of process mining in the domain of education. The basic objective of the curriculum mining is to construct a registration pattern model by using logs of registration data. However, subject registration patterns of students are very unstructured and complicated, called a spaghetti model, because it has a lot of different cases and high diversity of behaviors. In general, it is typically difficult to develop and analyze registration patterns. In the literature, there was an effort to handle this issue by using clustering based on the features of students and behaviors. However, it is not easy to obtain them in general since they are private and qualitative. Therefore, in this paper, we propose a new framework of curriculum mining applying K-means clustering based on subject attributes to solve the problems caused by unstructured process model obtained. Specifically, we divide subject's attribute data into two parts : categorical and numerical data. Categorical attribute has subject name, class classification, and research field, while numerical attribute has ABEEK goal and semester information. In case of categorical attribute, we suggest a method to quantify them by using binarization. The number of clusters used for K-means clustering, we applied Elbow method using R-squared value representing the variance ratio that can be explained by the number of clusters. The performance of the suggested method was verified by using a log of student registration data from an 'A university' in terms of the simplicity and fitness, which are the typical performance measure of obtained process model in process mining.

• 전자공학회논문지B
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• 제30B권10호
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• pp.42-49
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• 1993

In this paper, we evaluate the quality of synthesized speech by rule using the LPC CD as a objective measure, and then compare the test result with the subjective one. Speech used for the test consists of 108 words which are selected by word construction method using Korean attribute and frequency distribution, synthesized by demi-syllable rule. By evaluating the quality of synthesized speech by reule objectively, we have tried to resolve the problems such as lots of evaluation time, expansion of test scale, and variables of analysis result arised by subjective measure. We have, also, proved the validity of the objective test using the LPC CD, by comparing intelligibility which is the index for the subjective quality evaluation of synthesized speech by rule with MOS. From this results, we can provide a guide for quality assessment that would be useful in the R&D of synthesis method and the commercial products using synthesized speech.

• 한국산업정보학회논문지
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• 제16권4호
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• pp.119-125
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• 2011

The part family (PF) formation in a cellular manufacturing has been a key issue for the successful implementation of Group Technology (GT). Basically, a part has two different attributes; i.e., design and manufacturing. The respective similarity in both attributes is often conflicting each other. However, the two attributes should be taken into account appropriately in order for the PF to maximize the benefits of the GT implementation. This paper proposes a clustering algorithm which considers the two attributes simultaneously based on pareto optimal theory. The similarity in each attribute can be represented as two individual objective functions. Then, the resulting two objective functions are properly combined into a pareto fitness function which assigns a single fitness value to each solution based on the two objective functions. A GA is used to find the pareto optimal set of solutions based on the fitness function. A set of hypothetical parts are grouped using the proposed system. The results show that the proposed system is very promising in clustering with multiple objectives.

• 산업경영시스템학회지
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• 제18권34호
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• pp.161-172
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• 1995

The paper examines the cost analysis and economic evaluation for manufacturing system installation in a metal industry. The evaluation procedure is consist of four steps. 1) Attribute determination of manufacturing system 2) Cost Estimating 3) Alternative and Model determination of manufacturing system 4) Economic Analysis. The impact of manufacturing system installations on employment displacement and strategic benefit is discussed and suggested to make a coherent determination of company's objective.

• Journal of Advanced Marine Engineering and Technology
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• 제33권1호
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• pp.19-27
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• 2009

Globally, customer appreciation and demand for quieter products has driven noise control engineers to develop efficient and quieter products in a relatively short time. In the vehicles and ship industry, noise has become an important attribute because of the competitive market and increasing customer awareness. Noise reduction is often achieved through structural modifications by typical approaches. In the present paper, author describes a fundamental study on optimum design of curvature. Bezier curve. and rib attachment to reduce noise from simple panel using a genetic algorithm(GA). The acoustic optimization procedure employed p-FEM for structural analysis, the Rayleigh integral method for acoustic analysis and the GA for searching optimum design. In the optimization procedure. the objective function to be minimized is the average sound power radiated from an objective structure over a given frequency range $0{\sim}300$ Hz.

• 산업공학
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• 제19권4호
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• pp.281-290
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• 2006

The main objective of this study is to analyze the structure of efficiency of R&D input variables and the attributes of patent information as output of R&D activities in the major manufacturing industries (electric & electronics, machinery, chemical, textile) from the mid-1970s to the late-1990s by the development of "mapping technique". To attain this objective we first have examined the attribute of time-lag which depends on the absolute, and the cumulative values between input and output. And on the basis of this result, we have made an analysis on the impact to extract the main variables affecting patent by industries. Moreover, according to time trend of the impact variables, we have analyzed the structure of R&D efficiency, and of technological progress which will be changed with time by patent information. It has been aimed at constructing technological progress patterns in the Korea industry.

• 한국의류학회지
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• 제23권7호
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• pp.929-940
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• 1999

The purpose of this study is to clarify the substance of clothing attributes which influence the preference and purchase intentions of consumer's on the clothing products and to analyze the influence of such attributes. The subjects of this study are 434 students and formal survey methodologies were used in collecting data. Moreover SAS Package(Ver 6,12) Program was used for analysis and various methods such as factor analysis cluster analysis ANOVA Scheffe test conjoint analysis multiple regression correlation analysis and {{{{ chi ^2 }}-test were followed. The results of this study were as follows : 1) Clothing involvement consists of the affective factor and the cognitive factor 2) The consumers were divided into three groups with regards to the degree of their clothing involvement : those are the high cognitive and high affective involvement group the low cognitive and high affective involvement group and the low cognitive and low affective involvement group 3) The objective attributes of clothing were determined by such factors as price brand style and color whereas the subjective and fashionability 4) Significant differences were found regarding the importance of such clothing attributes among these groups 5) Partial significant differences were found regarding the importance of such clothing attributes among these groups. 5) Partial significant differences were found with regards to the influence of the objective attributes on the subjective attributes among these groups 6) Partial significant differences were found with regards to the influence of clothing attributes on the preference and purchase intentions among these groups. 7) There were differences in the correlation of preference and purchase intentions among these groups : such among these groups with regards to the demographic characteristics of these groups.

• 한국디지털건축인테리어학회논문집
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• 제12권3호
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• pp.49-58
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• 2012

In Regarding urban geo-spatial information visualization in this study, visualization of physical attribute information is mostly related to the representation of spatial domain and physical objects, and visualization of non-physical attribute information has to do with visualizing citizens and their activity information in the physical environment. In particular, a citizen, one of the non-physical information attributes, is characterized by a constant mobility in the physical environment, and thus visualization of his/her activity information is vital in conveying information because this information may not be depicted with any given, fixed figures. In consideration of this difficulty, this study integrates interrelationship among urban space, human needs, social relations, and lifestyles into a 'high-tech' service where experience in time and space is possible. To analyze the web-service and visualization cases, the study has selected visualization indicators consisting of information representation objective, information representation means, and information representation result. The results of the case analysis through specific indicators set a range in information representation objective, means, and result, thereby forming a user-friendly environment in which representational results are readily available to users, and ultimately expanding the users' selection range coming with a variety of options. This study also assumes that a wide range of service provision is needed to reflect users' needs in developing urban geo-spatial service model, and the display of its results should visualize users' satisfaction to construct the best information needed to users.

• 대한가정학회지
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• 제42권12호
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• pp.161-174
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• 2004

The primary objective of this study was to employ Darden's store patronage model in order to investigate the role that shopping orientation and store attributes play in store patronage. The study sample consisted of 340 female university students residing in Seoul. The data was analyzed by using path analysis and factor analysis. The recreational shopping orientation played a greater role in influencing the importance of store attributes than did the convenience shopping orientation. Recreational shoppers want a variety of brands and convenience shoppers can be attracted by a convenient location and availability of parking. Six important store attributes(variety of products and price level, proximity, variety of trendy brands, store decor, sales promotion, sales personnel) have a differential influence on store patronage. Shopping orientation was a direct predictor of patronage behavior and mediated the relationship between shopping orientation and store attribute importance. The finding indicated that both the recreational shopping orientation and convenience shopping orientation can be used effectively to position store patronage in such a way as to provide a strong means for shoppers to satisfy their needs. The findings of this study demonstrated that South Korean female shoppers with different shopping orientation have different store attribute preference and store patronage. The results provide a basis for building a successful strategy to attract shoppers and generate sales. The study focused on a specific product category, i.e., women's apparel. To meet the needs of female apparel shoppers, further research is needed to learn more about the distinctive characteristics of Korean consumers that could be applied to a variety of jobs, ages and living areas.