• Journal of Technologic Dentistry
• /
• v.44 no.2
• /
• pp.47-52
• /
• 2022

Purpose: This study aims to identify the recognition, readiness, and awareness of the need for education in the era of the 4th industrial revolution among dental technology students in the healthcare field, and to provide essential data for the development of a future-oriented curriculum. Methods: A survey of 260 students, who were briefed about the purpose of this study, was conducted at D University and G University, located in Daejeon and Gangwon-do, South Korea, respectively. A total of 229 questionnaires, excluding 31 with insufficient responses, were analyzed. Results: 1. Recognition of the 4th industrial revolution was 3.43±0.77, preparedness was 2.91±0.84, and awareness of the need for education was 3.86±0.80. 2. Major satisfaction was found to have a significant effect on concept recognition and impact recognition of the 4th industrial revolution, readiness level, and the need for education (p<0.001). Conclusion: It is necessary to develop an education program on specialized skills (professional knowledge) related to the 4th industrial revolution, and to implement such a program that serves the educational needs of individual groups.

• Journal of Korea Multimedia Society
• /
• v.13 no.4
• /
• pp.487-495
• /
• 2010

It has been required to develop an accurate and reliable evaluation method for the performance of biometric systems as their use is getting popular. Among a number of biometric systems, face recognition is one of the most widely used techniques and this leads to develop a stable evaluation method for face recognition systems in order to standardize the performance of face recognition systems. However, it is considered as a difficult task to evaluation such systems due to a large number of factors that affect their performance. Thus, it may be infeasible to take into account all the environmental factors that are related to the performance of face recognition systems and this naturally suggests an evaluation method for the overall performance based on scenarios. In this paper, we have analyzed environmental factors that are related to the performance of general face recognition systems and proposed their evaluation method taking into account those factors. We have proposed an evaluation method based on scenario that considers the combination of individual environment factors instead of evaluating the performance of face recognition systems regarding each factor. Indeed, we have presented examples on the evaluation of face recognition systems based on scenario that takes into account overall environmental factors.

• Human Ecology Research
• /
• v.54 no.4
• /
• pp.397-404
• /
• 2016

This study analyze factors influencing the dietary life of Korean women. This study analyzed 653 women aged 19 (and over) in Korea using materials developed by Social Sciences Korea Food Sustainability Study Group in 2015. As a result, in dietary life characteristics, females with higher education in their 40s and 50s and with a high income level, married women, and women thinking are subjectively healthy and show a statistically significant difference compared to other groups. Next, a correlation analysis is conducted to examine the relationship between independent variables and dietary life. The results showed a positive relationship with all variables, and a high correlation in the sales recognition of homegrown products (r=.384), the recognition of a food environment (r=.349), the recognition of food welfare (r=.325), and the recognition of food safety (r=.322). Factors that influence dietary life are extracted and the causal relationship is verified through multiple regression analysis of which the dependent variable is dietary life. In a regression model of dietary life, the researcher finds the trend that explanation power increases by models that the variable group is added in an individual model ($R^2$ is changed from .090 to .215 and from .250 to .273). Subsequently, age, level of education, recognition about value of organic agricultural product, recognition about the sales of homegrown products, recognition of food environment, recognition of food safety, and recognition of food insecurity are factors that influence the dietary life of women.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.4
• /
• pp.400-405
• /
• 2005

This paper analyzes the performance of a face recognition algorithm using the eigenfaces method. In the absence of robust personal recognition schemes, a biometric recognition system has essentially researched to improve their shortcomings. A face recognition system in biometries is widely researched in the field of computer vision and pattern recognition, since it is possible to comprehend intuitively our faces. The proposed system projects facial images onto a feature space that effectively expresses the significant variations among known facial images. The significant features are known as 'eigenfaces', because they are the eigenvectors(principal components) of the set of faces. The projection operation characterizes an individual face by a weighted sum of the eigenface features, and to recognize a particular face it is necessary only to compare these weights to those of known individuals. In order to analyze the performance of the system, we develop a face recognition system by using Harvard database in Harvard Robotics Laboratory. We present the recognition rate according to variations on the lighting condition, numbers of the employed eigenfaces, and existence of a pre-processing step. Finally, we construct a rejection curve in order to investigate the practicability of the recognition method using the eigenfaces.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.5
• /
• pp.2234-2243
• /
• 2013

The purpose of this study was to measure using a six-step solution for taste recognition threshold and using a Wet-Test for salivary flow amount of the adults who reside in Daegu area and are more than their 40's old to find out the relationship between DMFT index and OHIP-14. The study result revealed that the practice of oral health gave an effect to taste recognition threshold, dietary habit gave an effect to salivary flow amount, and sweet and sour taste of taste recognition threshold and salivary flow amount gave effects to the DMFT index. Therefore, it was found that the person with good practice of oral health and dietary habit had good taste, salivary flow amount and DMFT index. According to this result, it is necessary to increase the practice of oral health, increase the sensitivity to taste recognition threshold, improve dietary habit, increase salivary flow amount and decrease DMFT index in order to improve OHIP-14. Dietary habit education has been performed without the evaluation on the individual's level of taste recognition threshold. Therefore, it is necessary to develop the education program to measure and notify the taste recognition threshold in the oral health education so that individual can adjust it by himself.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.11 no.2
• /
• pp.92-101
• /
• 2001

This article reviewed previous studies on the 3D face recognition and anthropometric facial analysis to design suitable respirators for individuals. 3D facial anthropometric data have not been reported in Korea yet. With 3D facial data, it is possible to design and to manufacture respirators having more effective respirator-face seal and thus providing more comfortable wearing than donning of those respirators designed using 1 and 2-dimensional data. Also 3D data could be used for respirator fit-testing and selecting suitable respirator type and size by computer simulation without several steps of fit-test to each individual worker.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.1788-1793
• /
• 2003

The present of state is situation that is realized by necessity of maintenance of public security about great many information is real condition been increasing continually in knowledge info-age been situating in wide field of national defense, public peace, banking, politics, education etc. Also, loss or forgetfulness, and peculation by ID for individual information and number increase of password in Internet called that is sea of information is resulting various social problem. By alternative about these problem, including Biometrics, several authentication systems through sign(Signature), Smart Card, Watermarking technology are developed. Therefore, This paper shows that extract factor that efficiency can get into peculiar feature in physical features for good fingerprint recognition algorithm implementation with old study finding that take advantage of special quality of these fingerprint.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.9
• /
• pp.17-24
• /
• 2017

Core citation recognition is to identify influential ones among the prior articles that a scholarly article cite. Previous approaches have employed citing-text occurrence information, textual similarities between citing and cited article, etc. This study proposes a term-based approach to core citation recognition, which exploits the importance of individual terms appearing in in-text citation to calculate influence-strength for each cited article. Term importance is computed using various frequency information such as term frequency(tf) in in-text citation, tf in the citing article, inverse sentence frequency in the citing article, inverse document frequency in a collection of articles. Experiments using a previous test set consisting of computational linguistics articles show that the term-based approach performs comparably with the previous approaches. The proposed technique could be easily extended by employing other term units such as n-grams and phrases, or by using new term-importance formulae.

• Journal of the Korean Home Economics Association
• /
• v.37 no.8
• /
• pp.55-72
• /
• 1999

The purpose of this study is to identify the levels of informationized life of individual, consumers knowledge and attitudes to informationized society, and the recognition of consumer problems in informationized society, and to investigate the related variables. Data were collected from 693.consumers living in Seoul using the constructed questionnaires by the authors. Frequency, Percentage and Multiple Regression Analysis were applied for the analysis. The level of informationized life of consumers was lower than the mid-point of the scale, the level of the consumers knowledge about informationized society was sightly higher than mid-point of the scale, and the consumer attitudes to informationized society appeared to be positive. The level of the recognition of consumer problems in informationized society was higher than the mid-point of the scale,and was influenced by job, age of consumers, and the level of consumers knowledge about informationized society.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.105.2-105
• /
• 2001

This paper studies continuous Korean Sign Language (KSL) recognition using color vision. In recognizing gesture words such as sign language, it is a very difficult to segment a continuous sign into individual sign words since the patterns are very complicated and diverse. To solve this problem, we disassemble the KSL into 18 hand motion classes according to their patterns and represent the sign words as some combination of hand motions. Observing the speed and the change of speed of hand motion and using state automata, we reject unintentional gesture motions such as preparatory motion and meaningless movement between sign words. To recognize 18 hand motion classes we adopt Hidden Markov Model (HMM). Using these methods, we recognize 5 KSL sentences and obtain 94% recognition ratio.