• Culinary science and hospitality research
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• v.14 no.4
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• pp.441-455
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• 2008

The primary objective of this research was to investigate the recognition, preference and the present using status of yam for the data which will be useful to make consumers intake more yams and to develop more yam processed products. Almost all respondents who had eaten yams liked it, and Andong people eat more yams than Daegu people. About 60.3% respondents who like yams cited the reason was "it's good for health". Among the respondents who had eaten yams recognized it as nutritional, healthful, and diet food compared with the respondents who had not eaten yams. Recognition degree was higher when the preference for yams was higher. Among the types of yam processed cooking, according to intake ratio, yam juice formed 38%, followed by bleaching(17%) etc. Among the types of yam processed food, powdered tea formed 34%, followed by yam gruel(24%), yam drinks(19%) etc. It showed that respondents eat very few foods made from yams and yam processed food. As for purchasing yam processed food, the result showed that the main concerns of the respondents were the "ratio of yams"(24.9%), followed by "tastes"(21.3%) etc. The largest group (29.4%) of the respondents suggested that the improvements of yams were "diversification of the processed food" followed by "improved taste"(26.4%) while 62.5% of the respondents indicated that they would buy yams after its improvement, which showed a good prospect of yam processed food.

• Journal of Korean society of Dental Hygiene
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• v.14 no.6
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• pp.871-879
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• 2014

Objectives: The purpose of the study was to investigate the appropriate management and implementation of the oral malodor prevention for the general people. Methods: A self-reported questionnaire was filled out by 420 subjects in Seoul and Gyeonggi Province from March to October, 2013. Except 19 copies, 401 copies were analyzed. The instrument of subjective oral malodor awareness and status was adapted from Yoon and Youn and partly modified. The questionnaire consisted of general characteristics(4 questions), oral malodor awareness(3 questions), oral malodor related characteristics(3 questions), self-diagnostic test of oral malodor(5 questions), and subjective oral malodor and health status(3 questions). Self-diagnostic test of oral malodor was score as yes(1 point) and no(0 point). The subjective oral malodor and health status scoring was done by Likert 5 scale. Cronbach alpha was 0.713 in the self-diagnostic test of oral malodor. Results: The self-recognition rate of oral malodor was 0.8%. When the level of oral malodor increased to 1 point, the self-test of oral malodor increased as the rate of 0.033(p<0.05). Conclusions: There existed no close correlation between subjective recognition of oral malodor and oral malodor self-test. Therefore, oral malodor should be measured by an expert counseling to make an accurate diagnosis. It is important to establish the appropriate oral malodor prevention program for the general people.

• Journal of Technologic Dentistry
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• v.32 no.2
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• pp.91-102
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• 2010

Purpose : The purpose of study was 500 people who are not related to dentistry in order to survey image about dental technicians. Methods : The subjects were composed of 500 people who are not related in Daegu Metropolitan city. This study was done using the Statistical Package for Social Sciences 17.0 for Windows. As for the analysis methods, the study used the frequency analysis, percentage, mean, t-test, analysis of variance. Results : The score on the image of dental technicians declined in the order of occupational image(2.98), work image(3.14), personal image(3.26), social image(2.87). 'It is hard and stressful' in the occupational image had the highest score with 3.69, 'Dentist and companionship are strong' in the occupational image had the lowest score with 2.21. 'It need expert knowledge and a skilled technology' in the work image had the highest score with 3.69, 'Health medical treatment side of health technique is occupation.' in the work image had the lowest score with 3.69. 'It always work busily' in the personal image had the highest score with 3.69, 'It is value and is effect work.' in the personal image had the lowest score with 3.69. 'An employment is easy after license acquisition.' in the social image had the highest score with 3.69, 'It admit independence' in the social image had the lowest score with 3.69. Conclusion : Dental technition research in order to image improvement and recognition, as the medical professional must construct the desirable dental technition image and recognition.

• Journal of Broadcast Engineering
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• v.23 no.2
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• pp.274-282
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• 2018

Most occupancy sensors installed in buildings, households and so forth are pyroelectric infra-red (PIR) sensors. One of disadvantages is that PIR sensor can not detect the stationary person due to its functionality of detecting the variation of thermal temperature. In order to overcome this problem, the utilization of camera vision sensors has gained interests, where object tracking is used for detecting the stationary persons. However, the object tracking has an inherent problem such as tracking drift. Therefore, the recognition of humans in static trackers is an important task. In this paper, we propose a CNN-based human recognition to determine whether a static tracker contains humans. Experimental results validated that human and non-humans are classified with accuracy of about 88% and that the proposed method can be incorporated into practical vision occupancy sensors.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.86-96
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• 2020

Based on the use cases of image recognition technology, this study looked at how artificial intelligence plays a role in image recognition technology. Through image recognition technology, satellite images can be analyzed with artificial intelligence to reveal the calculation of oil storage tanks in certain countries. And image recognition technology makes it possible for searching images or products similar to images taken or downloaded by users, as well as arranging fruit yields, or detecting plant diseases. Based on deep learning and neural network algorithms, we can recognize people's age, gender, and mood, confirming that image recognition technology is being applied in various industries. In this study, we can look at the use cases of domestic and overseas image recognition technology, as well as see which methods are being applied to the industry. In addition, through this study, the direction of future research was presented, focusing on various successful cases in which image recognition technology was implemented and applied in various industries. At the conclusion, it can be considered that the direction in which domestic image recognition technology should move forward in the future.

• The Journal of Korean Academy of Sensory Integration
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• v.5 no.1
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• pp.21-30
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• 2007

Objective: This study was to provide a standard for the evaluation of The Korean version of Adolescent/Adult Sensory Profile(K-ASP) for University students and to investigate the difference of the subjective sense recognition regarding the characteristics of sensory processing. Method: The subjects consisted of 84 University students. A researcher examined subjective sense recognition and K-ASP for subjects. Visual Analog Scale used to evaluate subjective sense recognition and K-ASP was utilized to evaluate the characteristics of sensory processing. Results: 1. The average scores and standard deviation of K-ASP were $32.93{\pm}7.88$ for low registration group, $39.39{\pm}6.55$ for sensory seeking group, $38.94{\pm}9.13$ for sensory sensitivity group, and $34.24{\pm}7.85$ for sensory avoiding group. 2. The correlation between the total score on an each quadrant and the subjective sense recognition are -.27 for low registration group, .11 for sensory seeking group, .09 for sensory sensitivity group and .12 for sensory avoiding group. It showed the statistically significant correlation between the total score of low registration and the subjective sense recognition group(p<.05). 3. The average scores and standard deviation of the subjective sense recognition were $5.22{\pm}1.56$ for high threshold and $7.28{\pm}1.70$ for low threshold. The subjective sense recognition according to the characteristics of sensory processing showed the statistically significant difference. Conclusions: This study supports the theory that there is the difference of sensory recognition according to each individual and we found that people with difficulties of sensory processing acknowledge their characteristics of sensory processing well. Evaluation of sensory processing ability through interview or questionnaire supports the fact which it is reliable.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.819-829
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• 2017

In this paper, we describe the current state of speech recognition technology and identify the basic speech recognition technology and algorithms first, and then explain the code flow of API necessary for speech recognition technology. We use the application programming interface (API) of Google, Naver, and Daum KaKao, which have the most famous search engine among the speech recognition APIs, to create a voice recognition app in the Android studio tool. Then, we perform a speech recognition experiment on people's standard words and dialects according to gender, age, and region, and then organize the recognition rates into a table. Experiments were conducted on the Gyeongsang-do, Chungcheong-do, and Jeolla-do provinces where the degree of tongues was severe. And Comparative experiments were also conducted on standardized dialects. Based on the resultant sentences, the accuracy of the sentence is checked based on spacing of words, final consonant, postposition, and words and the number of each error is represented by a number. As a result, we aim to introduce the advantages of each API according to the speech recognition rate, and to establish a basic framework for the most efficient use.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.295-302
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• 2013

Many reported methods assume that the people in an image or an image sequence have been identified and localization. People detection is one of very important variable to affect for the system's performance as the basis technology about the detection of other objects and interacting with people and computers, motion recognition. In this paper, we present an efficient linear discriminant for multi-view people detection. Our approaches are based on linear discriminant. We define training data with fisher Linear discriminant to efficient learning method. People detection is considerably difficult because it will be influenced by poses of people and changes in illumination. This idea can solve the multi-view scale and people detection problem quickly and efficiently, which fits for detecting people automatically. In this paper, we extract people using fisher linear discriminant that is hierarchical models invariant pose and background. We estimation the pose in detected people. The purpose of this paper is to classify people and non-people using fisher linear discriminant.

• Smart Media Journal
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• v.11 no.11
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• pp.17-24
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• 2022

With the spread of smart speakers based on voice recognition technology and deep learning technology, not only non-disabled people, but also the blind or physically handicapped can easily control home appliances such as lights and TVs through voice by linking home network services. This has greatly improved the quality of life. However, in the case of speech-impaired people, it is impossible to use the useful services of the smart speaker because they have inaccurate pronunciation due to articulation or speech disorders. In this paper, we propose a personalized voice classification technique for the speech-impaired to use for some of the functions provided by the smart speaker. The goal of this paper is to increase the recognition rate and accuracy of sentences spoken by speech-impaired people even with a small amount of data and a short learning time so that the service provided by the smart speaker can be actually used. In this paper, data augmentation and one cycle learning rate optimization technique were applied while fine-tuning ResNet18 model. Through an experiment, after recording 10 times for each 30 smart speaker commands, and learning within 3 minutes, the speech classification recognition rate was about 95.2%.

• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.339-351
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• 1997

This study intended to enhance the quality of life of rural adolescents through survey 185 young people in YeonChun County, in the course of measuring the level of life of adolescents and finding several variables related with the level and drawing some applications for enhancement. As a result of this study we had some findings 1) the most young people were belonging to the second (vital feeling value) level and third (mental value) level 2) Sex, religion, tendency oriented to other person were three related variables with the level. The more the people having other-oriented tendency the higher the level of value. Female, Christian is higher in the level. 3) Many adolescents showed little hearty satisfaction concering their own life 4) The level of act in their real life were corresponded with the level of value 5) Characteristics of high value-level adolescents against low value-level ones were that they had high level of value-recognition, less family member. The hit ratio was 83.7 percent. On the basis of this study the following suggestions for the improvement of quality of life for youth in the rural area in the future. First, we should make a great effort in value education in order to clearly get the goal of the true life. The quality improvement such as the education of mental life and religion for the young people by developing programs to continously improve the value of life. Second, the necessity of behavior guiding other oriented tendency should be emphasized. We should connect adolescents with value recognition through more interest in actions. And third, it is necessary to make a professional effort for the improvement of level of value, that is, an in depth study of the theoretical systemization.