• Journal of KIISE:Databases
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• v.37 no.2
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• pp.71-81
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• 2010

The problem of finding clusters is widely used in numerous applications, such as pattern recognition, image analysis, market analysis. The important factors that decide cluster quality are the similarity measure and the number of attributes. Similarity measures should be defined with respect to the data types. Existing similarity measures are well applicable to numerical attribute values. However, those measures do not work well when the data is described by categorical attributes, that is, when no inherent similarity measure between values. In high dimensional spaces, conventional clustering algorithms tend to break down because of sparsity of data points. To overcome this difficulty, a subspace clustering approach has been proposed. It is based on the observation that different clusters may exist in different subspaces. In this paper, we propose a new similarity measure for clustering of high dimensional categorical data. The measure is defined based on the fact that a good clustering is one where each cluster should have certain information that can distinguish it with other clusters. We also try to capture on the attribute dependencies. This study is meaningful because there has been no method to use both of them. Experimental results on real datasets show clusters obtained by our proposed similarity measure are good enough with respect to clustering accuracy.

• Korean journal of food and cookery science
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• v.20 no.6 s.84
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• pp.619-629
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• 2004

This study was prepared to present the research data for the promotion of Korean foods and restaurants in Korea and abroad by an analysis of the recognition and preference of Korean traditional foods and an importance-performance analysis of Korean restaurants by foreign visitors (n=351) and foreign residents (n=365). The most recognized Korean foods among foreigners were Bibimbap>Kimchi>Bulogi>Galbi>Samgyetang;however, the most preferred Korean foods were statistically different; Bibimbap>Kimchi>Bulgogi>Galbi>Rameyeon by foreign visitors and Bulgogi>Bibimbap>Galbi>Samgyetang>Kimchi by foreign residents. Especially, the preferences for Samgyetang and Dakgalbi were increased whereas that for Kimchi was decreased in foreign residents. The Korean foods were described as 'hot and pungent' and 'spicy' by foreign visitors, but 'hot and pungent', 'non-greasy' and 'salty' by foreign residents. In choosing a restaurant, 'quality of food' was most important among foreigners, but 'proper price' was considered more significant than 'sanitation and cleanness' by foreign residents compared with foreign visitors. The satisfaction with Korean restaurants of foreign residents was lower than that of foreign visitors. An analysis of importance and performance of Korean restaurants by foreigners was performed. There were significant differences in the evaluations of Korean restaurants between foreign visitors and foreign residents (p<0.05). The importance of the attributes related with 'foods' and 'sanitation' were rated higher by foreign residents. On the other hand, foreign visitors rated the importance of the attributes related to 'eating environment' and 'employees' more highly. Foreign residents significantly rated the performances of Korean restaurants lower in each attribute except 'additional free side dishes' and 'communications'.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.12
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• pp.1141-1146
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• 2014

As life expectancy becomes longer, reduction of human muscular strength threatens quality of human life. Many robotic devices have thus been developed to support and help human daily life. This paper deals with a new type of in-wheel actuator that can be effectively used for the robotic devices. BLDC motor, drive board, brake, ARS (Attribute Reference System), and torque sensor are combined in the single actuator module. The torque sensor is used to recognize human intention and the in-wheel actuator drives walking aids in our system. Its feasibility was tested with the active walking aid device equipped with the in-wheel actuator. Based on it, we designed an admittance filter algorithm to react on uphill and downhill drive. By adjusting mass, damping, and spring parameters in accordance with the ARS output, it provided convenient drive to the old on uphill and downhill walks.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.99-109
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• 2023

The darknet is frequently referred to as the hub of illicit online activity. In order to keep track of real-time applications and activities taking place on Darknet, traffic on that network must be analysed. It is without a doubt important to recognise network traffic tied to an unused Internet address in order to spot and investigate malicious online activity. Any observed network traffic is the result of mis-configuration from faked source addresses and another methods that monitor the unused space address because there are no genuine devices or hosts in an unused address block. Digital systems can now detect and identify darknet activity on their own thanks to recent advances in artificial intelligence. In this paper, offer a generalised method for deep learning-based detection and classification of darknet traffic. Furthermore, analyse a cutting-edge complicated dataset that contains a lot of information about darknet traffic. Next, examine various feature selection strategies to choose a best attribute for detecting and classifying darknet traffic. For the purpose of identifying threats using network properties acquired from darknet traffic, devised a hybrid deep learning (DL) approach that combines Recurrent Neural Network (RNN) and Bidirectional LSTM (BiLSTM). This probing technique can tell malicious traffic from legitimate traffic. The results show that the suggested strategy works better than the existing ways by producing the highest level of accuracy for categorising darknet traffic using the Black widow optimization algorithm as a feature selection approach and RNN-BiLSTM as a recognition model.

• Korean journal of food and cookery science
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• v.30 no.2
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• pp.228-238
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• 2014

This study identified the importance and performance perceptions of funeral foodservice service quality toward funeral foodservice employees, chief mourners/the bereaved and funeral visitors. Data were collected using self-administered questionnaires from 102 funeral foodservice employees, 71 chief mourners/the bereaved and 293 funeral visitors. According to the result of the survey, 'hygienic food production process' was recognized as the most important attribute while 'neat appearance of food' had the least performance. By comparing the importance of service quality attributes between three subject groups, it can be identified funeral foodservice employees had the highest recognition while funeral visitors had the lowest (p<0.001). Furthermore, funeral foodservice employees had a significantly high performance level compared to chief mourners/the bereaved in all 19 service quality attributes (p<0.001). The IPA result toward funeral foodservice employees indicated the following attributes that required improvements: 'reasonable menu price' and 'kindness of helpers'. Another IPA result from chief mourners/the bereaved recognized 'reasonable menu price' as a service priority. Overall, implications for funeral foodservice managers regarding service quality improvement are discussed.

• Fashion & Textile Research Journal
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• v.13 no.1
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• pp.44-54
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• 2011

This study aims to clarify the asset evaluation attributes of imported brands exclusively by department stores based on qualitative study. For the qualitative research, hands-on staff of the branch office who had at least 5 years experience in PB-related positions at one of the four domestic department stores(Lotte, Shinsegae, Hyundai, Galleria), and at least 20 years old adults who had purchased imported brand items exclusively by a certain department store(Shinsegae, Lotte) were included. The asset evaluation attributes of department store-exclusively imported brands were drawn up through the one-to-one in-depth interview method. As a result of qualitative study on the asset evaluation attributes of department store-exclusive importation brands, it turned out that there were 4 factors in view of business entity - stability, profitability, growth potential, and relationship, and that there were 6 factors in view of consumers - product quality, recognition, country of origin, image, preference, and reliability. In comparison with the existing preliminary study, it was notable that relationship in view of business entity, and country of origin in view of consumers were added to the asset elements.

• Korean Journal of Social Welfare
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• v.47
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• pp.7-33
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• 2001

The purpose of this study was to the impact of organizational culture on the organizational effectiveness in hospitals were empirically analysed. Data were collected by 151 social workers including general hospitals with one social worker at least and single-department hospital with two social workers or more, were identified nationwide through the registry of Korean Association of Medical Social Workers and Korean Association of Hospitals. The results of this study were summarized as follows; First, most social workers report that characteristic of culture in their hospitals are group culture the first, hierarchial culture the second, rational culture the third, and developmental culture finally in order of social worker's recognition. Second, according to the types of organizational culture, there were significantly different levels of organizational effectiveness. Social worker's perceived group cultures in hospital showed higher job satisfaction, organizational commitment than other culture patterns. And also, social worker's perceived developmental cultures in hospital showed higher organizational commitment quality of social service than other culture patterns. Third, multiple regression analysis was conducted to find the relationship of organizational culture and organizational effectiveness. As a result, developmental culture showed a strong relationship with job satisfaction, organizational commitment and quality of social services Finally, as for the cultural affects on the organizational effectiveness depended on intensive attention to developmental culture in hospital Consolidating the attribute of developmental culture in hospital is also proposed to improve the organizational cultures.

• Journal of the Korean housing association
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• v.25 no.4
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• pp.59-72
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• 2014

This study proposes a data-mining analysis method for examining variable multi-attribute big-data, which is considered to be more applicable in social science using a Correspondence Analysis of variables obtained by AIC model selection. The proposed method was applied on the Seoul Survey from 2005 to 2010 in order to extract interesting rules or patterns on characteristics of single household. The results found as follows. Firstly, this paper illustrated that the proposed method is efficiently able to apply on a big dataset of huge categorical multi attributes variables. Secondly, as a result of Seoul Survey analysis, it has been found that the more dissatisfied with residential environment the higher tendency of residential mobility in single household. Thirdly, it turned out that there are three types of single households based on the characteristics of their demographic characteristics, and it was different from recognition of home and partner of counselling by the three types of single households. Fourthly, this paper extracted eight significant variables with a spatial aggregated dataset which are highly correlated to the ratio of occupancy of single household in 25 Seoul Municipals, and to conclude, it investigated the relation between spatial distribution of single households and their demographic statistics based on the six divided groups obtained by Cluster Analysis.

• Archives of design research
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• v.12 no.4
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• pp.161-170
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• 1999

In recent days, consumer's product selection various with diverse life style, not simply with income class. This in why diversified demand and diversified products appear in every industry, which means the success or failure of business relies on tis ability to yield the best productivity under the condition of diversification. The purpose of this study is to discuss how an automaker can create its unique identity and brand image in automobile industry and what's brand role and value, under the recognition that clarifying a target market in development process is indispensable to developing a product of higher marketability. By building and applying a product of higher marketability. By building and applying a brand-unique consistent design identity, it's intended to meet the increasing requirements of product attribute for symbolism or sensitivity so as satisfy or exceed customer expectation.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.379-384
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current monitoring process of business activities decides whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Also, warnings are applied by carrying out the measuring process when the event attribute values are inserted at every point. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be ed. Also, since it is difficult to expand the range of problems which can be possibly evaluated, it is impossible to evaluate any unexpected situation which could occur in the execution period. In this paper, a process-evaluating model based on the goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the goal scenario for the process activities. Also, by using the meta-heuristic algorithm, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.