• 보건의료산업학회지
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• 제12권4호
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• pp.59-72
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• 2018

Objectives : This study was performed to investigate health care system recognition and influential factors using the data from the "2017 Health Care Experience Survey". Methods : Data on 7,000 participants in the Health Care Experience Survey were drawn and statistically examined using a t-test, ANOVA, and multiple regression analysis. Results : First, the significant factors of health care service satisfaction were education, income, region, chronic diseases, unmet medical needs, satisfaction with doctors and institutions, and the health care system's reliability and importance. Second, the influential factors of willingness to pay additional health insurance premium were age, occupation, income, health status, chronic diseases, unmet medical needs, satisfaction with health care institutions, limit to utilization of medical services, necessity of health care reform, and the health care system's reliability, satisfaction, importance. Conclusions : Since the additional burden for improving the health care has been negative to the socially disadvantaged, there should be efforts to provide stable health care funding for financial stability of the health insurances by considering public opinions and reaching social consensus.

• 제어로봇시스템학회논문지
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• 제9권2호
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• pp.131-139
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• 2003

Shape descriptors play an important role in systems for object recognition, retrieval, registration, and analysis. Seven well-known descriptors including MPEG-7 visual descriptors arebriefly reviewed and a new robust pattern recognition descriptor is proposed. Performance comparison among descriptors are presented. Experiments show that the newly proposed descriptor yields better performance results than Fourier, invariant moment, and edge histogram descriptors.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.1055-1056
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• 2008

In this paper, we survey various Robust Object Recognition Algorithms. One of the core technologies for local feature detector is Scale Invariant Feature Transform. And we compared several algorithms with SIFT based on IPP technology. As a result, the conversion of source codes using IPP is sped up. And this will be more improved recognition speed using SIMD Instructions.

• 농업과학연구
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• 제38권3호
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• pp.559-569
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• 2011

Korean government has introduced various programs to support exporters for the promotion of agro-food, including subsidizing the part of cost of transportation which is one of main supporting programs welcomed by exporters. However, the circumstance of global trade requires the change of government policy to promote exportation. The goal of this paper is to conduct the survey to analyze the recognition of agro-food exporters about the current promotion programs, and to suggest the findings to improve the Korean government program. The survey was conducted for 200 Korean agro-food exporters and 55 samples were taken for analysis. The results of analysis suggests followings: First, most of exporters still prefer the direct subsidy program, Second, however, many exporters also understand the necessity of the program to enforce the infrastructure for exportation and require that program, which will be the main promotion program in Korea.

• 동아시아식생활학회지
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• 제6권3호
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• pp.403-410
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• 1996

This survey was carried out to investigate the usage of traditional fermented foods. Questionaries were answered by 283 female adults ranging from 20 to 60 ages in Daegu city and Kyungbuk province. 39.72% of total subjects answered that they made Meju and soybean paste by themselves. There were significant differences according to income, residential area, deucation level, and family size, In the results of the preference and consumption study on traditional soybean pastes, Kimchi and salted sea foods, preference of salted sea foods was the highest, whereas the consumption of salted sea foods was the lowest. The recognition of soybean pastes and traditional foods was remarkably low. However the consumption frequency of traditional fermented foods and the recognition of soybean pastes and traditional foods were significantly increased with age.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2007년도 춘계학술논문 발표대회
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• pp.97-100
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• 2007

Recently, A demand on productivity improvement has required innovation of construction industry more than fast with a economy condition. A RFID is technology that can be effectively applied at the administration of physical distribution, labor, construction progress, etc at construction industry. Therefore, At this paper, A survey of staffs that work at construction site is practised to study application possibility of RFID technology at construction industry. It shows use possibility through a survey that investigated Recognition and application, etc at construction site. RFID technology is connected with other technologies by being based on this study construction industry will be advanced.

• 보건의료산업학회지
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• 제9권3호
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• pp.267-276
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• 2015

Objectives : In this study, we were to investigated the recognition of the hospital services by college students with variable majors. Methods : In survey questionnaire included were 9 general questions, 18 items recognition of hospital services in questionnaire. For the statistical analysis of this study, we were used the IBM SPSS 21.0; t-test, ANOVA and multiple regression analysis were performed. Results : (1) The general characteristics of perception was as follows; recognition of hospital services in accordance with grade showed significant differences.(F=2.638, p<0.05) (2) Effect of the recognition was analyzed from the general characteristics; F value is 2.638(p<0.05) and 3.678(p<0.01) as shown; the regression model showed a significant expression. Conclusions : In this study, we observed the perception of the hospital service by college students. As a result, we could not see a statistically significant difference. These results can be interpreted as a show the direction of health education in the future.

• 대한치과교정학회지
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• 제24권1호
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• pp.193-198
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• 1994

In this study, in order to survey the effect on public recognition in malocclusion and orthodontic treatment by brochures made by Korean orthodontic association, sample were divided into control and experimental group and a questionnaire was inguired and the results were as follows: 1. In the experimental group, frequency of recognition for the need of orthodontic treatment was high, and this indicates dental health behavior and recognition can be inspired by adequate giving of information. 2. Between the control and the experimental group, patterns of the negative opinion was different, and especially the demand for specific orthodontic treatment can be influenced by the content of brochures. 3. The brochures used in this study can call attention to develope the orthodontic aspect for the malocclusion, hereafter more systemic and active measures for development of public dental behavior and recognition should be needed.

• 전기학회논문지
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• 제67권10호
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• pp.1364-1369
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• 2018

Speech emotion recognition, which aims to classify speaker's emotional states through speech signals, is one of the essential tasks for making Human-machine interaction (HMI) more natural and realistic. Voice expressions are one of the main information channels in interpersonal communication. However, existing speech emotion recognition technology has not achieved satisfactory performances, probably because of the lack of effective emotion-related features. This paper provides a survey on various features used for speech emotional recognition and discusses which features or which combinations of the features are valuable and meaningful for the emotional recognition classification. The main aim of this paper is to discuss and compare various approaches used for feature extraction and to propose a basis for extracting useful features in order to improve SER performance.

• Journal of Information Processing Systems
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• 제5권2호
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• pp.41-68
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• 2009

Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. Face recognition techniques can be broadly divided into three categories based on the face data acquisition methodology: methods that operate on intensity images; those that deal with video sequences; and those that require other sensory data such as 3D information or infra-red imagery. In this paper, an overview of some of the well-known methods in each of these categories is provided and some of the benefits and drawbacks of the schemes mentioned therein are examined. Furthermore, a discussion outlining the incentive for using face recognition, the applications of this technology, and some of the difficulties plaguing current systems with regard to this task has also been provided. This paper also mentions some of the most recent algorithms developed for this purpose and attempts to give an idea of the state of the art of face recognition technology.