• 제목/요약/키워드: Label Information

검색결과 729건 처리시간 0.035초

대학생들의 식품영양표시 관련 식행동 조사 (College Students Characteristics and Utilization of the Nutrition Labels on Food Package)

  • 최봉순;유두련;박영미;이인숙
    • 한국식생활문화학회지
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    • 제17권3호
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    • pp.299-308
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    • 2002
  • The purposes of this study were to examine understanding, attitudes, and behaviors of college students regarding the nutrition labels of food package and the relations among these factors and demographic background such as educational experience with label, major, home place and parents' status. The study was surveyed 471 undergraduate students enrolled in general education classes at local university. Generally, college students could understand nutrition label. Nutrition related class in college didn't influence Nutrition label understanding, use and purchasing behavior. Students whose mothers with higher than college education level and professional work showed strong dependability on nutrition label. Label use, understanding and purchasing behaviors significantly associated with gender of subjects. All the subjects looked at the amount of sodium most frequently among all the nutrients listed on the food package(88.8%). Of all the food labels, the manufacturing date(25.1%) was considered the most important and the refund and exchange(12.9%) was considered the least important information. This paper suggested that nutrition education program for college students needs to be developed in series from elementary school curriculum and to enhance the use of nutrition labels.

Sparse and low-rank feature selection for multi-label learning

  • Lim, Hyunki
    • 한국컴퓨터정보학회논문지
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    • 제26권7호
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    • pp.1-7
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    • 2021
  • 본 논문에서는 다중 레이블 분류를 위한 특징 선별 기법을 제안한다. 기존 많은 특징 선별 기법들은 상호정보척도 등을 이용하여 특징과 레이블 사이의 연관성을 계산하여 특징을 선별하였다. 하지만 상호정보척도는 결합 확률을 요구하기 때문에 실제 전제 특징 집합에서 결합 확률을 계산하는 것은 어렵다. 따라서 소수의 특징만 계산이 가능하여 지역적 최적화만 가능하다는 단점을 가진다. 이런 지역적 최적화 문제를 피해, 주어진 특징 전체 공간에서 저랭크 공간을 구성하고, 희소성을 가진 특징들을 선별할 수 있는 특징 선별 기법을 제안한다. 이를 위해 뉴클리어 노름을 이용해 회귀 기반의 목적함수를 설계하였고, 이 목적 함수의 최적화 문제를 풀기 위한 경사하강법 방식의 알고리즘을 제안하였다. 4가지의 데이터와 3가지 다중 레이블 분류 성능을 기준으로 다중 레이블 분류 실험 결과를 통해 제안하는 방법론이 기존 특징 선별 기법보다 좋은 성능을 나타내는 것을 보였다. 또한 제안하는 목적함수의 파라미터 값 변화에도 성능 변화가 둔감한 것을 실험적인 결과로 확인하였다.

구조 텐서 기반의 상품 라벨 검출 (Product Label Detection based on the Local Structure Tensor)

  • 진연연;이명은;김수형
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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    • pp.397-400
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    • 2011
  • In this paper, we propose an approach to detect the product label for mobile phone images based on saliency map and the local structure tensor. The object boundary information can be better described by the local structure tensor than other edge detectors, and the saliency map methods can find out the most salient area and shorten the computational time by reducing the size of the orignal image. Therefore, these two methods are considered for our product label detection. The experimental results show an acceptable performance based on our proposed approach.

의류제품 취급표시 부칙 실태 및 소비자 의식 (The Actual Condition of Care Label Attached to Clothing and Consumers' Perception)

  • 추태귀;송정아
    • 한국의류산업학회지
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    • 제2권4호
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    • pp.331-338
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    • 2000
  • To study on the actual condition of care label attached to clothing and consumers' perception, 250 summer clothes sold at department store-blouse, trousers, one-piece dress, knit cardigan and skirt-were investigated during July 2000. In addition, a questionnaire was administered to 192 women in Taegu during August. The fiber contents of surveyed clothes were polyester 100% & polyester blend (26%), rayon 100% & rayon blend (18%), cotton 100% & cotton blend (17%), wool 100% & wool blend (14%) and others. All clothes surveyed were attached care label and the signals showed on care labels were 4~6 kinds about cleaning, squeezing, drying, bleaching, and ironing methods. 92% of clothes had to be dry-cleaned and only 8% could be wet-cleaned. Considered the surveyed clothes were for summer which needs frequent washing and the clothing items, the number of clothes had to dry-cleaned were too many. The bleaching instructions were no chlorine bleach (74%), no bleaching (21%) and others. The ironing instructions were cool ironing ($80{\sim}120^{\circ}C$) with cover (24%) and warm ironing ($140{\sim}160^{\circ}C$) with cover (69%) primarily. The drying instructions was dry on a hanger in the shade (54%) and 38% had no signal or incorrect signal. The properties of summer clothes considered important by consumers were wrinkled hardly, hand-washable, machine-washable, needed no iron and etc. Actually most of summer clothes were hand or machine-washed. Also, the majority of respondents felt inconvenient to have to dry-clean summer clothes. More than 80% respondents looked over care label and fiber content label before buying clothes. However most of respondents did not followed that instructions exactly and thought care label instructions were not correct. Considered this results, the suppliers have to make efforts to attach correct and appropriate care label which furnish the correct information to consumers.

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청소년의 식품영양표시에 대한 인식 및 활용실태 (Perception and Usage of Food & Nutrition labels in Junior High School Students)

  • 이주인;김정현;정인경
    • 한국지역사회생활과학회지
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    • 제19권4호
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    • pp.559-568
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    • 2008
  • Even though snacks or meals purchased by teenagers have dramatically increased in Korea, it has not been investigated whether teenagers know and take notice of the nutrition label. Therefore, in this study, we investigated the usefulness and utilization of food and nutrition labels amongst teenagers. Questionnaires were distributed 814 of junior-high school students and were completed by self-administrated questionnaires. Questionnaires included questions regarding general characteristics, perception and utilization of food and nutrition labels and degree of necessity and satisfaction on food products and nutrition labels. Data was analyzed with regards to sex and school year by using a SAS package program. Significant differences of each variable were tested by using the $x^2$-test, t-test and ANOVA. Only 4.4% of participants were well informed about food and nutrition labels, while 26.0% of them did not know about it. Most of participants(78%) perceived that food and nutrition labeling system is necessary but are not satisfied with it. More of them did not check the food and nutrition label when they purchased food. Students usually checked the food and nutrition label to know about the nutritional value, and additives. The survey showed that more than three quarters of participants take notice of the food and nutrition label on products whereas only 57.7% of them knew what the food and nutrition actually meant. This study showed that most teenagers did not know the food and nutrition label, didn't have right information and didn't use it. Therefore, it is necessary to include an educational program about the food and nutrition label in the school curriculum and that will help students use the nutrition label and help them choose healthy food.

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단백질의 세포내 위치 예측을 위한 다중레이블 분류 방법의 성능 비교 (A Performance Comparison of Multi-Label Classification Methods for Protein Subcellular Localization Prediction)

  • 지상문
    • 한국정보통신학회논문지
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    • 제18권4호
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    • pp.992-999
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    • 2014
  • 단백질이 존재하는 세포내의 다중 위치를 정확하게 예측하기 위하여 다중레이블 학습 방법을 광범위하게 비교한다. 이를 위하여 다중레이블 분류의 접근 방법인 알고리즘 적응, 문제 변환, 메타 학습의 여러 방법을 비교 평가한다. 다양한 관점에서 다중레이블 분류 방법의 특성을 평가하기 위하여 12가지 평가 척도를 사용하였고, 최적의 성능을 보이는 방법을 찾기 위하여 새로운 요약 척도를 사용하였다. 비교 실험 결과, 흔하지 않은 다중레이블 집합을 가지치기 하는 멱집합 방법과, 관련 레이블들을 추가된 특징으로 나타내는 분류기-체인 방법의 성능이 높았다. 또한, 이들 방법들로 구성된 여러 개의 분류기를 조합하면 더욱 성능이 향상되었다. 즉, 세포내 위치간의 연관관계를 사용하는 것이 예측에 효과적인데, 특정 생물학적 기능을 수행하는 단백질의 세포내 위치들의 관계는 독립적이지 않고 서로 관련되어 있기 때문이라 판단된다.

IPv6 플로우 레이블을 이용한 실시간 트래픽의 QoS개선 방안 (A QoS Improvement Scheme for Real-time Traffic using IPv6 Flow Labels)

  • 이인화;김성조
    • 한국정보과학회논문지:정보통신
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    • 제30권6호
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    • pp.787-798
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    • 2003
  • IPv6(IP version 6)는 QoS(Quality of Service) 제공을 위해 플로우 레이블이라는 새로운 필드를 정의하고 있다. 기존 플로우 레이블 부여 방안인 랜덤 넘버(Random Number) 방식은 플로우에 대한 식별자 기능만을 수행함으로써 다양한 실시간 트래픽 특성에 따른 차별화된 서비스 제공에는 제약이 따른다. 본 논문에서는 플로우 레이블 필드를 플로우의 구성요소 및 QoS 파라미터로 사용하는 하이브리드(Hybrid) 방안을 제시하였다. 즉, 플로우 레이블에 사용되는 파라미터를 사용자가 표시하게 함으로써 실시간 트래픽에 대한 종단간 품질 보장과 함께 백본의 전송 자원을 효율적으로 사용할 수 있는 방법을 제시한다. 본 논문에서는 백본을 MPLS-TE(Multi Protocol Label Switching - Traffic Engineering) 환경으로 가정하고 시뮬레이션을 통해 랜덤 넘버 방식과 제안된 하이브리드 방식에 대한 성능을 평가하였다. 그 결과 하이브리드 방식이 랜덤 넘버 방식에 비해 처리 성능 및 백본 자원의 활용 측면에서 효율적인 것을 알 수 있었다.

An Efficient Deep Learning Ensemble Using a Distribution of Label Embedding

  • Park, Saerom
    • 한국컴퓨터정보학회논문지
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    • 제26권1호
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    • pp.27-35
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    • 2021
  • 본 연구에서는 레이블 임베딩의 분포를 반영하는 딥러닝 모형을 위한 새로운 스태킹 앙상블 방법론을 제안하였다. 제안된 앙상블 방법론은 기본 딥러닝 분류기를 학습하는 과정과 학습된 모형으로 부터 얻어진 레이블 임베딩을 이용한 군집화 결과로부터 소분류기들을 학습하는 과정으로 이루어져 있다. 본 방법론은 주어진 다중 분류 문제를 군집화 결과를 활용하여 소 문제들로 나누는 것을 기본으로 한다. 군집화에 사용되는 레이블 임베딩은 처음 학습한 기본 딥러닝 분류기의 마지막 층의 가중치로부터 얻어질 수 있다. 군집화 결과를 기반으로 군집화 내의 클래스들을 분류하는 소분류기들을 군집의 수만큼 구축하여 학습한다. 실험 결과 기본 분류기로부터의 레이블 임베딩이 클래스 간의 관계를 잘 반영한다는 것을 확인하였고, 이를 기반으로 한 앙상블 방법론이 CIFAR 100 데이터에 대해서 분류 성능을 향상시킬 수 있다는 것을 확인할 수 있었다.

경기 일부지역 중학생의 영양표시 이용과 자아효능감, 간식 실태 및 식행동 (Nutrition Label Use, Self-Efficacy, Snacking and Eating Behavior of Middle School Students in Kyunggi Area)

  • 고서연;김경원
    • 대한지역사회영양학회지
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    • 제15권4호
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    • pp.513-524
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    • 2010
  • This study was designed to examine nutrition label use, self-efficacy, snacking and eating behaviors of middle school students, and to investigate if these characteristics were different by nutrition label use. A cross-sectional survey was conducted to 348 middle school students in Kyunggi, Korea. About a third of subjects read nutrition labels when they purchased snacks/packaged foods. Most nutrition label users were interested in reading information on calories, fat and trans-fat. Self-efficacy of eating/selecting snacks or general nutrition behavior was moderate (mean score: 44.4 out of 60), with significantly higher score in nutrition label users compared to nonusers (p < 0.001). Nutrition label users felt more confident in 9 items out of 15 items of self-efficacy, such as "taking fruits instead of cookies/candy for snack" (p < 0.001), "choosing milk instead of soft drink" (p < 0.01), "not having snacks after dinner" and "avoiding processed foods for snacks" (p < 0.05). Subjects had snacks 1.3 times a day, and nutrition label nonusers consumed snacks more frequently than the counterparts (p < 0.01). About 55% of nutrition label users and 64.7% of nonusers mainly purchased snacks for themselves (p < 0.05). Commonly purchased snacks by adolescents were ice cream, cookies/chips, breads and ramen. Major considerations in purchasing snacks were taste (46.9%) and price (34.6%). In selecting snacks, the influence of friends and parents was greater than the other sources. Based on eating frequency of snacks, nutrition label users were more likely to consume healthy snacks, such as fruit juices, vegetables, milk, yogurt, and potato/sweet potato than nonusers (p < 0.05). Eating behaviors measured by 15 items scored 33.6 out of 45. Nutrition label users showed better eating behaviors, such as "eating meals slowly", "eating foods cooked with plant oil", and "eating out less frequently" (p < 0.05). Study results showed that majority of adolescents did not read nutrition labels, selected snacks for themselves and had somewhat unhealthy foods for snacks. This study also showed the differences in self-efficacy, snacking and eating behaviors between nutrition label users and nonusers. In nutrition education, it is necessary to stress the importance and skills for reading nutrition labels. It is also needed to help adolescents to select healthy snacks and have desirable eating behaviors, as well as increasing self-efficacy.