• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.283-285
• /
• 2005

To account for the importance of variable in multi-sensor data fusion, random forests are applied to supervised land-cover classification. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. Its distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Supervised classification with a multi-sensor remote sensing data set including optical and polarimetric SAR data was carried out to illustrate the applicability of random forests. From the experimental result, the random forests approach could extract important variables or bands for land-cover discrimination and showed good performance, as compared with other non-parametric data fusion algorithms.

• 품질경영학회지
• /
• 제47권4호
• /
• pp.807-822
• /
• 2019

Purpose: To increase the competitiveness of the university and improve the quality of education by providing education services that meet the student's satisfaction needs based on the education service quality survey of university students. Methods: A questionnaire consisting of 6 elements and 38 questions was prepared and students were surveyed. The importance and satisfaction ISA analysis was conducted. Results: The results of this study are as follows; there was a difference in the perception of importance and satisfaction by student characteristics regarding the results of educational service quality measurement. Working students need an extra effort in the educational environment and foreign students in student services. Conclusion: The importance of educational service quality-satisfaction survey should be used to identify the factors of educational service quality by student characteristics to improve student satisfaction, improve the quality of education, and support educational services with a strategic approach.

• 한국학교보건학회지
• /
• 제23권2호
• /
• pp.125-132
• /
• 2010

Purpose: In an attempt to investigate the ideal body image, body importance and body satisfaction by gender role identity, this study was carried out in male college students. Methods: The subjects were 323 male college students in all of Korea except Jeju province. The data was collected by using the questionnaires, Korean Sex Role Inventory and modified Multidimensional Body-Self Questionnaire. Results: Normal shape ranked first as ideal body image in all 4 types of gender role identity. Androgyny, femininity and masculinity type were significantly higher than undifferentiated type in body importance. And androgyny and masculinity type were significantly higher than femininity and undifferentiated type in body satisfaction. Conclusion: Androgyny and masculinity type were positively related to self body image, but undifferentiated type was negatively related to compared with androgyny and masculinity type. And to reinforce androgyny and masculinity in male college students, various programs should be developed.

• Journal of Community Nutrition
• /
• 제7권1호
• /
• pp.58-63
• /
• 2005

Identifying quality attributes with the greatest value to the residents is important if the Continuing Care Retirement Community (CCRC) is to increase the frequency of residents' dining. However, it is not known which specific attribute is relatively more important than others to evaluate foodservice. The purpose of this study is to identify the relative importance of food and service quality attributes in the evaluation of foodservice in CCRe. This study surveyed the independent living residents of three CCRCs in the Midwestern states. Respondents placed great importance on taste and flavor of food which has the highest percentage of utility range ($28.28\%$) and the second greatest on appearance of the server ($23.46\%$) . The important attributes were ultimately used to predict the most preferred choice of food-service for residents. Knowledge of the importance of the attributes would enable the foodservice managers in CCRCs to manipulate those attributes to enhance the residents' perceptions of quality and identify strategies for continuous improvement.

• 경영과학
• /
• 제23권2호
• /
• pp.109-135
• /
• 2006

Despite much attention of strategy implementation, there is rarely a study focusing on the ways to evaluate the strategy implementation competence. Therefore, based on broad literature review, we suggested a simple model and procedure to evaluate the technology strategy implementation competence based on importance-Performance Analysis (IPA). The proposed model applied to the case of 'Company A' in order to examine the feasibility. We grasped the importance of strategic direction by surveying the employees in 'Company A', and also measured relative importance and performance of critical technology strategy implementation factor. By analyzing the results of the survey, we can identify the barriers to implementing the technology strategy in 'Company A'.

• 한국경영과학회지
• /
• 제22권4호
• /
• pp.1-16
• /
• 1997

The cell loss probability recommended in the B-ISDN is in the range $10^{-8}~10^{-12}$. When a simulation technique is used to analyze the performance of the ATM node, an enormous amount of computer processing time is required. In this study, we derive an importance sampling simulation technique that can be used to evaluate the performance of the ATM node very quickly, that is, the probability that the queue size at the ATM node reaches some large value N. The simulation results show that the backlog probability obtianed by the importance saimpling simulation is very close to that obtained by the ordinary simulation and the computer time can be reduced drastically by the importance sampling simulation.

• 한국조경학회지
• /
• 제25권3호
• /
• pp.47-55
• /
• 1997

A vacation destination was conceptualized to be chosen through a three-stage process consisting of an early consideration set formation, a late consideration set formation, and a final selection stage. Choice criteria were defined as an individual's belief toward the relationships between perceived attributes, expected outcomes, and the destination. And these criteria were assumed to be divided into benefit-related dimension and perceived risk-related dimension. Through two pilot surveys, 13 items which have 4 factors were identified. used on 4 factor structures, the benefit-related dimension was identified to be consisted of three sub-dimensions, "historic/cultural", "escaped" and "naturalness". A longitudinal panel survey was used to test the differences of the importance of choice dimensions through the choice process. The importance of benefit-related dimension was decreased through the choice process as hypothesized except "naturalness" factor. And as hypothesized, the importance of perceived risk-related dimension was increased.

• KIEAE Journal
• /
• 제9권3호
• /
• pp.37-46
• /
• 2009

This study conducted an evaluation of the streetscape improvement project of the Gwangbok Street through analysis of visual and perceptual characteristics by comparing selected pictures of streetscape before and after the project. This work has conducted an analysis of the environmental factors which influence subjects' satisfaction degrees including physical street equipments and street view factors which are main contents of this project. Using a satisfaction analysis and factor analysis, each factor's significance was verified quantitatively. As a result of the analysis, physical components of the streetscape were classified into 4 types according to project's effectiveness and improvement priorities. These 4 types include (1) Components for maintenance because of higher satisfaction and higher importance, (2) Components for improvement because of lower satisfaction and higher importance, (3) Components for good business fruits because of higher satisfaction and lower importance, and (4) Components for unnecessity because of lower satisfaction and lower importance.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2007년도 춘계학술발표대회
• /
• pp.443-446
• /
• 2007

A new association rule mining algorithm, which reflects the strategic importance of associative relationships between items, was developed and presented in this paper. This algorithm exploits the basic framework of Apriori procedures and TSAA(transitive support association Apriori) procedure developed by Hyun and Choi in evaluating non-frequent itemsets. The algorithm considers the strategic importance(weight) of feature variables in the association rule mining process. Sample feature variables of strategic importance include: profitability, marketing value, customer satisfaction, and frequency. A database with 730 transaction data set of a large scale discount store was used to compare and verify the performance of the presented algorithm against the existing Apriori and TSAA algorithms. The result clearly indicated that the new algorithm produced substantially different association itemsets according to the weights assigned to the strategic feature variables.

• 아동학회지
• /
• 제28권4호
• /
• pp.51-71
• /
• 2007

Factors considered by mothers when choosing a kindergarten for their child were analyzed by mother's age, education level, and employment status. Questionnaires (Seo, 2002; Kim, 2001; Park, 1997) targeted 636 mothers of kindergarteners from 12 different kindergartens. Results were (1) in order of importance mothers considered : physical environment, tuition, humane environment, educational curriculum and program, and time spent for education. (2) Younger mothers considered the program of the kindergarten of more importance whereas older mothers considered the commuting method, size of kindergarten, and personality and competence of the principal and teachers of more importance. (3) College educated mothers considered curriculum and field trips to be important factors. (4) Employed mothers considered the importance of all day programs and hours of operation.