• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.179-189
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• 2010

The purpose of this study was to investigate intakes of processed food and use and understanding of food labeling by middle school students in the Chonbuk area. Self-administered questionnaires were completed by 912 middle school students. Questionnaires included questions regarding general characteristics of the students, intakes of processed food, perception of food labeling, and knowledge of food labeling. Data were analyzed by SPSS 11.5 statistical software. Significant differences between genders were tested by the $x^2$-test and the t-test. The frequency of processed foods being consumed at least two times per day was 31.0%, once a day was 30.5%, once a week was 26.0%, and eating rarely was 12.5%. Most frequently consumed processed foods were milk and milk products, bread and biscuits, and candy and chocolates. When the subjects bought processed foods, they read the general facts 3.1 out of 5.0 points, where the scores for females (3.2) were higher than the males (3.0) at p<.001. The subjects read the nutrition facts 2.7 out of the 5.0 points, and the scores of the females (3.0) were again higher than the males (2.5) at p<.001. The subjects recognized the necessity of general facts(3.5) and nutrition facts(3.4) of food labeling, but, only 33.9% of the subjects had received food labeling education. The accuracy rate of the food labeling knowledge of the subjects was not high, the accuracy rate ranged from 19.3% to 76.8%. Therefore, it is necessary to develop school programs for middle school students to provide education on processed foods, food labeling, general facts and nutrition facts.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.139-147
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• 2019

A false alarm, which is an incorrect report of an emergency, could trigger an unnecessary action. The predictive maintenance framework developed in our previous work has a feature whereby a machine alarm is triggered based on sensor data evaluation. The sensor data evaluator performs three essential evaluation steps. First, it evaluates each sensor data value based on its threshold (lower and upper bound) and labels the data value as "alarm" when the threshold is exceeded. Second, it calculates the duration of the occurrence of the alarm. Finally, in the third step, a domain expert is required to assess the results from the previous two steps and to determine, thereby, whether the alarm is true or false. There are drawbacks of the current evaluation method. It suffers from a high false-alarm ratio, and moreover, given the vast amount of sensor data to be assessed by the domain expert, the process of evaluation is prolonged and inefficient. In this paper, we propose a method for automatic false-alarm labeling that mimics how the domain expert determines false alarms. The domain expert determines false alarms by evaluating two critical factors, specifically the duration of alarm occurrence and identification of anomalies before or while the alarm occurs. In our proposed method, Hierarchical Temporal Memory (HTM) is utilized to detect anomalies. It is an unsupervised approach that is suitable to our main data characteristic, which is the lack of an example of the normal form of sensor data. The result shows that the technique is effective for automatic labeling of false alarms in sensor data.

• Annual Conference of KIPS
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• 2023.05a
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• pp.716-718
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• 2023

엔데믹 시대, 외식 비중이 증가하고 온라인 커뮤니티를 중심으로 인기있는 식당에 대한 공유가 활발하게 일어나며 특정 식당으로 쏠리는 현상 심화, 주요 시간대에 식사를 하기 위해 줄을 서거나 아예 헛걸음을 하는 경우가 많아지고 있다. 본 연구에서는 대부분의 식당에 설치되어 있는 CCTV에서 촬영 이미지를 활용해서 딥러닝을 활용한 Data Labeling을 시행, 현재 식당의 남은 자리를 분석하여 사용자에게 전달하는 프로젝트에 대한 방식을 서술한다. Client를 통해 사용자는 실시간으로 특정 식당의 남은 좌석 수를 확인할 수 있고, 이 정보를 바탕으로 해당 식당에 방문할지 말지를 결정할 수 있을 것이다. 프로젝트 진행에 앞서 데이터를 분석하는 딥러닝 모델인 YOLO에 대해 분석하였고, 각 버전에 대해 특징을 비교 및 대조, 본 프로젝트에 적합한 버전으로 YOLOv5s를 선정하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.79-81
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• 2004

범위 기반 레이블링 스킴(range-based labeling scheme)을 이용하면 임의의 두 노드에 대한 조상-자손 관계를 쉽게 판별할 수 있으므로, XPath나 XQuery 형태의 질의를 효율적으로 처리할 수 있다. 그러나 노드의 삽입이 일어나는 동적인 상황에서는 불가피하게 전체 또는 일부의 레이블을 다시 할당(re-labeling)할 가능성이 있다는 문제점이 있다. 본 논문에서는 Dietz 레이블링 스킴을 개선한 EP2(extended preorder ＆amp; postorder) 레이블링 스킴을 제안한다. 제안하는 스킴은 동일한 저장 공간상에서 범위 기반 레이블링 스킴에 비해 동적인 갱신에 유리하며, 기존의 구조 조인 알고리즘(structural join algorithm)을 이용하여 효율적으로 구조 질의(structural query)를 처리할 수 있다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.100-103
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• 2005

The aim of the product noise labeling is to harmonize the noise control act relating to noise emission standards, conformity assessment procedure, marking, technical documentation and collection of data concerning the noise emission in the environment of equipment for use outdoors. It will contribute to the smooth functioning of the internal market, while protecting human health and well-being.

• Korean Journal of Community Nutrition
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• v.15 no.4
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• pp.507-512
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• 2010

This study was conducted to offer basic data that give effective ways to inform the country-of-origin labeling, where the ingredients they are serving are from, at school foodservice and to reconsider the importance of the labeling origin based on the survey by the elementary school students. 96.0% of the elementary school students agreed to the regulation about the country-of-origin labeling and the older students were influenced more by media and also supported the labeling. About the tendency of ingesting food from the country the students didn't like, 69% of them disagreed to eat. In the ways to label the country-of-origin labeling at school foodservice, elementary school students recognized easily the indication of origin designed by menu items, letter type. 76% of elementary school students checked the country-of-origin labeling posted at restaurants. When the students eat out, 68% of them were unwilling to have the food using the ingredients from the country they don't like. The country-of-origin for main ingredients such as beef, pork, chicken and other meat products, rice, kimchi had high importance scores. We found that the students think about the country-of-origin for main ingredients is important. Consequently, education and public relations of the country-of-origin labeling for elementary school students would be required.

• Human Ecology Research
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• v.62 no.1
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• pp.181-196
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• 2024

This study examined the influence of perceptions of food risk and food labeling on the purchase of labeled food items and the intention to pay higher prices for safe food. Data were obtained from the Korea Rural Economic Institute's Consumer Behavior Survey for Food 2020. The analysis focused on the responses of 6,355 consumers, all of whom were mainly responsible for food purchases. The analysis investigated the moderating effect of food risk perception on the relationship between food labeling perception and the purchase of labeled food. Regarding the purchase of labeled food, statistically significant effects were noted for gender, educational level, perception of food labeling, and perception of food risk; however, the interaction effect of perceptions of food labeling and food risk was not statistically significant. With regard to the intention to pay higher prices for safe food, except for age, statistically significant effects were observed for gender, educational level, food expenditure, perception of food labeling, and perception of food risk; moreover, the interaction effect of perceptions of food labeling and food risk was significant. The results indicate that consumers reporting low food labeling perception and low purchase of labeled food were most vulnerable regarding food safety; therefore, it is necessary to provide such consumers with food label provision methods and specified education programs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.1
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• pp.80-89
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• 1992

This paper presents algorithms which are region labeling and data structure of a boundary segmentation as image intermediate description process. In the method, the algorithms are region labeling, boundary segmentation, line and curve fitting and extracting data structure of each segment. As a result, a data structure of image is described by a set of region number, segment number, line or curve, starting point and end point of each segment and coefficient of line or curve. These data structures would serve for higher level processing as object recognition. For example we will use this data structure to solve the correspondence problem of stereoscopic image information. And we verified these algorithms through the image reconstruction of data structure.

• Journal of the Korean Dietetic Association
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• v.16 no.3
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• pp.255-269
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• 2010

The purpose of this study was to investigate consumer awareness and demand related to country-of-origin labeling at restaurants, and to provide basic data to reexamine the need for current policies and to determine problems. The study found that 70% of the respondents thought that the implemented representation policy had improved food quality, and 81.3% of the respondents checked country-of-origin labeling at restaurants. In addition, 74.7% of the respondents answered that "reward for accusation" was appropriate policy. Regarding the degree of recognition of the meat importers, the respondents were well aware of the importing countries, but did not recognize the importing country of chicken. In terms of preference for meat importers, Australian beef was rated highest, but beef from the U.S. was ranked seventh. However, in preferences for pork and chicken, U.S. products were rated highest. According to the survey, in a question regarding the perception toward country-of-origin labeling, the respondents recognized that rice, beef, pork, and chicken were the targeted items. In addition, the respondents suggested that other food ingredients at restaurants should be designated as target items for country-of-origin labeling.

• Nutrition Research and Practice
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• v.6 no.4
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• pp.328-333
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• 2012

This study was performed to investigate the differences in food choice, nutrition labeling perceptions, and prevalence of obesity due to meal skipping in Korean elementary school children. A national survey was performed in 2010 to collect data on food intake frequency, understanding of nutrition labeling, and body mass index from 2,335 fifth grade students in 118 elementary schools selected from 16 metropolitan local governments by stratified cluster sampling. The data were analyzed using the SAS 9.1 and SUDAAN 10.0 packages. Students who consumed three meals for 6-7 days during the past week were classified into the regular meal eating (RM) group (n = 1,476) and those who did not were placed into the meal skipping (MS) group (n = 859). The daily intake frequency of fruits, vegetables, kimchi, and milk was significantly lower in the MS group compared to that in the RM group (P < 0.001), whereas the daily intake frequency of soft drinks and instant noodles (ramyeon) was significantly higher in the MS group than that in the RM group (P < 0.05). The MS group demonstrated a significantly lower degree of understanding with regard to nutrition labeling and high calorie foods containing low nutritional value than that in the RM group. The distribution of obesity based on the percentile criteria using the Korean growth chart was different between the MS and RM groups. The MS group (8.97%) had a higher percentage of obese subjects than that in the RM group (5.38%). In conclusion, meal skipping was related to poor food choice, low perception of nutrition labeling, and a high prevalence of obesity in Korean fifth grade children.