• Title/Summary/Keyword: labeling standard

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A plan for introduction of energy efficient labeling system in Ethiopia (에티오피아 에너지 효율 라벨링 도입방안 설계)

  • Lee, Seung-mi;Kim, Jin-ho;Kim, In-soo;Son, Na-kyeung
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.465-466
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    • 2015
  • 전 세계적으로 에너지 수요의 증가에 따라 에너지를 효율적으로 이용해야 한다는 인식이 확산되고 있다. 에너지 절약과 환경보호를 위해 세계 각국에서는 에너지효율제품의 보급화를 위해 에너지 효율기준 및 라벨링 제도를 시행하고 있다. 본 논문에서는 개발도상국인 에티오피아 선정하여 구체적인 사례를 적용하여 보았다. 효율적인 에너지 관리를 위한 제도로 최저소비효율기준(MEPS : Minimum Energy Performance Standard)과 에너지소비효율등급라벨표시(이하 '라벨링')에 대한 내용을 살펴보고 국내, 해외선진국, 개발도상국 등 여러 국가의 운영 현황을 조사하였다. 그리고 에티오피아에 적용하기 위해 여러 상황을 고려한 맞춤 라벨링을 설계해 보고자 한다.

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Discriminative Training of Sequence Taggers via Local Feature Matching

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.3
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    • pp.209-215
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    • 2014
  • Sequence tagging is the task of predicting frame-wise labels for a given input sequence and has important applications to diverse domains. Conventional methods such as maximum likelihood (ML) learning matches global features in empirical and model distributions, rather than local features, which directly translates into frame-wise prediction errors. Recent probabilistic sequence models such as conditional random fields (CRFs) have achieved great success in a variety of situations. In this paper, we introduce a novel discriminative CRF learning algorithm to minimize local feature mismatches. Unlike overall data fitting originating from global feature matching in ML learning, our approach reduces the total error over all frames in a sequence. We also provide an efficient gradient-based learning method via gradient forward-backward recursion, which requires the same computational complexity as ML learning. For several real-world sequence tagging problems, we empirically demonstrate that the proposed learning algorithm achieves significantly more accurate prediction performance than standard estimators.

Traffic Signal Detection and Recognition in an RGB Color Space (RGB 색상 공간에서 교통 신호등 검출과 인식)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.3
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    • pp.53-59
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    • 2011
  • This paper proposes a new method of traffic signal detection and recognition in an RGB color model. The proposed method firstly processes RGB-filtering in order to detect traffic signal candidates. Secondly, it performs adaptive threshold processing and then analyzes connected components of the binary image. The connected component of a traffic signal has to be satisfied with both a bounding box rate and an area rate that are defined in this paper. The traffic signal recognition system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Analysis of Consumer Behavior on Using Food Label (식품표시에 대한 소비자 행동연구)

  • 이경희
    • Journal of the Korean Home Economics Association
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    • v.34 no.5
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    • pp.235-248
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    • 1996
  • The purpose of this study was to search for new food labeling system that would support effective consumer decision-making, by examining consumer behavior of food labels and its' related factors. The survey was conducted on 410 housewives under 60-year-old who live in Seoul or Metropolitan area, using questionnaires and the illustrated material of labels. Respondents generally considered food labels very important as devices. Among 12 items of label which are required to disclose, they evaluated circulation period, and nutritional information. Among 12 items of label, housewives read manufacture date, circulation period, and price more often than business admission number and self standard number. The respondents preferred the format of marking both manufacture date and expiration date on the same side, the format of printing both price and weight on the same side of package, the diagramatic type, and the format represented by ration graph per daily value.

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Query Processing based Branch Node Stream for XML Message Broker

  • Ko, Hye-Kyeong
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.64-72
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    • 2021
  • XML message brokers have a lot of importance because XML has become a practical standard for data exchange in many applications. Message brokers covered in this document store many users. This paper is a study of the processing of twig pattern queries in XML documents using branching node streams in XML message broker structures. This work is about query processing in XML documents, especially for query processing with XML twig patterns in the XML message broker structure and proposed a method to reduce query processing time when parsing documents with XML twig patterns by processing information. In this paper, the twig pattern query processing method of documents using the branching node stream removes the twigging value of the branch node that does not include the labeling value of the branch node stream when it receives a twig query from the client. In this paper, the leaf node discovery time can be reduced by reducing the navigation time of nodes in XML documents that are matched to leaf nodes in twig queries for client twig queries. Overall, the overall processing time to respond to queries is reduced, allowing for rapid question-answer processing.

Species Identification and Labeling Compliance Monitoring of Commercial Shrimp Products Sold in Online Markets of South Korea (국내 온라인 유통 새우 제품의 종판별 및 표시사항 모니터링 연구)

  • Kun Hee Kim;Ji Young Lee;Tae Sun Kang
    • Journal of Food Hygiene and Safety
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    • v.38 no.6
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    • pp.496-507
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    • 2023
  • This study investigated species identification and labeling compliance of 48 shrimp products sold in the Korean online markets. Species identification was conducted using the standard DNA barcoding method, using the cytochrome c oxidase subunit I gene. The obtained sequences were compared with those deposited in the NCBI GenBank and BOLD Systems databases. Additionally, phylogenetic analysis was performed to further verify the identified shrimp species. Consequently, 16 shrimp species were identified, including Penaeus vannamei, Pandalus borealis, Palaemon gravieri, Leptochela gracilis, Penaeus monodon, Pleoticus muelleri, Metapenaeopsis dalei, Euphausia pacifica, Lebbeus groenlandicus, Trachypenaeus curvirostris, Argis lar, Metanephrops thomsoni, Metapenaeopsis barbata, Alpheus japonicus, Penaeus chinensis, and Mierspenaeopsis hardwickii. The most prevalent species was Penaeus vannamei, found in 45.8% of the analyzed products. A significant mislabeling rate of 72.9% was found; however, upon excluding generic names such as shrimp, the mislabeling rate reduced to 10.4%. The mislabeling rate was higher in highly-processed products (89.3%) compared with that in minimally-processed products (50%). No correlation was found between the country of origin and mislabeling rate. The results of this study provide crucial data for future monitoring of shrimp products and improving the labeling of shrimp species in Korea.

RAPID PREDICTION OF ENERGY CONTENT IN CEREAL FOOD PRODUCTS WITH NIRS.

  • Kays, Sandra E.;Barton, Franklin E.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1511-1511
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    • 2001
  • Energy content, expressed as calories per gram, is an important part of the evaluation and marketing of foods in developed countries. Currently accepted methods of measurement of energy by U.S. food labeling legislation include measurement of gross calories by bomb calorimetry with an adjustment for undigested protein and by calculation using specific factors for the energy values of protein, carbohydrate less the amount of insoluble dietary fiber, and total fat. The ability of NIRS to predict the energy value of diverse, processed and unprocessed cereal food products was investigated. NIR spectra of cereal products were obtained with an NIR Systems monochromator and the wavelength range used for analysis was 1104-2494 nm. Gross energy of the foods was measured by oxygen bomb calorimetry (Parr Manual No. 120) and expressed as calories per gram (CPGI, range 4.05-5.49 cal/g). Energy value was adjusted for undigested protein (CPG2, range 3.99-5.38 cal/g) and undigested protein and insoluble dietary fiber (CPG3, range 2.42-5.35 cal/g). Using a multivariate analysis software package (ISI International, Inc.) partial least squares models were developed for the prediction of energy content. The standard error of cross validation and multiple coefficient of determination for CPGI using modified partial least squares regression (n=127) was 0.060 cal/g and 0.95, respectively, and the standard error of performance, coefficient of determination, bias and slope using an independent validation set (n=59) were 0.057 cal/g, 0.98, -0.027 cal/g and 1.05 respectively. The PLS loading for factor 1 (Pearson correlation coefficient 0.92) had significant absorption peaks correlated to C-H stretch groups in lipid at 1722/1764 nm and 2304/2346 nm and O-H groups in carbohydrate at 1434 and 2076 nm. Thus the model appeared to be predominantly influenced by lipid and carbohydrate. Models for CPG2 and CPG3 showed similar trends with standard errors of performance, using the independent validation set, of 0.058 and 0.088 cal/g, respectively, and coefficients of determination of 0.96. Thus NIRS provides a rapid and efficient method of predicting energy content of diverse cereal foods.

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Developing a Korean Standard Brain Atlas on the basis of Statistical and Probabilistic Approach and Visualization tool for Functional image analysis (확률 및 통계적 개념에 근거한 한국인 표준 뇌 지도 작성 및 기능 영상 분석을 위한 가시화 방법에 관한 연구)

  • Koo, B.B.;Lee, J.M.;Kim, J.S.;Lee, J.S.;Kim, I.Y.;Kim, J.J.;Lee, D.S.;Kwon, J.S.;Kim, S.I.
    • The Korean Journal of Nuclear Medicine
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    • v.37 no.3
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    • pp.162-170
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    • 2003
  • The probabilistic anatomical maps are used to localize the functional neuro-images and morphological variability. The quantitative indicator is very important to inquire the anatomical position of an activated legion because functional image data has the low-resolution nature and no inherent anatomical information. Although previously developed MNI probabilistic anatomical map was enough to localize the data, it was not suitable for the Korean brains because of the morphological difference between Occidental and Oriental. In this study, we develop a probabilistic anatomical map for Korean normal brain. Normal 75 blains of T1-weighted spoiled gradient echo magnetic resonance images were acquired on a 1.5-T GESIGNA scanner. Then, a standard brain is selected in the group through a clinician searches a brain of the average property in the Talairach coordinate system. With the standard brain, an anatomist delineates 89 regions of interest (ROI) parcellating cortical and subcortical areas. The parcellated ROIs of the standard are warped and overlapped into each brain by maximizing intensity similarity. And every brain is automatically labeledwith the registered ROIs. Each of the same-labeled region is linearly normalize to the standard brain, and the occurrence of each legion is counted. Finally, 89 probabilistic ROI volumes are generated. This paper presents a probabilistic anatomical map for localizing the functional and structural analysis of Korean normal brain. In the future, we'll develop the group specific probabilistic anatomical maps of OCD and schizophrenia disease.

The Analysis for Calcium and Fructooligosaccharides Contents in Nutrients Fortified Dairy Products (유가공품 중 칼슘 및 프락토올리고당 영양강화 함량 분석)

  • Park, Ji-Sung;Park, Jae-Woo;Cho, Byung-Hoon;Song, Sung-Ok;Wee, Sung-Hwan;Oh, Soon-Min;Kim, Jin-Man
    • Food Science of Animal Resources
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    • v.33 no.6
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    • pp.781-786
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    • 2013
  • Nutrients fortified dairy products declare their contents on the label for nutrition claim and marketing. However, there are few monitoring studies about relations between actual quantities of fortified nutrients and the described ones on the label. This study was carried out for comparing actual fortified nutrient contents with labeled ones. Forty calcium fortified dairy products and twenty four fructooligosaccharides (FOS) fortified dairy products were sampled at supermarkets located in Anyang, Korea from March to November in 2010. Calcium contents were analyzed by using inductively coupled plasma optical emission spectrometry followed by microwave sample digestion, and FOS contents were analyzed by HPLC-ELSD followed by solvent extraction. In fresh milk, calcium contents ranged from 1.0 to 2.4 mg/mL, and those values were 87~127% of their labeled contents. In fermented milk products and cheeses, calcium contents ranged from 0.3 to 1.6 mg/g (89~131% of their labeled contents), 4.2 to 23.0 mg/g (83~127% of their labeled contents), respectively. FOS contents ranged from 9.09 to 18.89 mg/g in FOS contents labeled products and showed 83~154% compared to their labeled quantity, and ranged from 1.3~30.8 mg/g in products without quantity labeling. In conclusion, the amounts of calcium and FOS in dairy products were above 80% compared to their labeled ones and conformed to the Korean official livestock products labeling standard.

A Study on Actual Conditions and Sizing Systems of Domestic Glove Production Companies (국내 장갑 제조업체의 실태조사 및 치수체계에 관한 연구)

  • Choi Hei-Sun;Kim Eun-Kyong
    • Journal of the Korean Society of Costume
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    • v.55 no.2 s.92
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    • pp.116-128
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    • 2005
  • The aim of this study is to understand problems with both fit and sizing system of gloves by analyzing the glove production industries with an emphasis on the sizing system, production measurement system, and general marking situation. Also, to suggest the basic raw materials for improving sizing system for gloves, actual glove control sizes were compared to the anthropometric data of the previous study Fifteen domestic production companies were participated in this study-Domestic glove production companies established their own sizing system by copying inter-national brand's glove sizing system or by their experience. The Korean Standard of gloves and the 1997 Korean Standard Anthropometrics Measurement for producing glove patterns are not considered because of its discordance with the reality of the required measurements. Domestic glove production companies used different size designation and labeling system. Size measurement unit also showed difference among the glove production companies. Some companies used 'cm', some used 'mm', some used 'inch' for the measurement unit. In general, companies produced 5 to 4 sizes in one design of glove and the production was the highest in M and L size. In 9 out of 15 companies preferred control size as hand length and hand circumference. For reference size, most of the companies preferred finger circumference, finger length, palm length, hand breadth, crotch height, and hand thickness. Actual glove sizes were compared to the anthropometric data of the previous study. The results indicated that most of the measurements of actual glove sizes were significantly larger than the anthropometric data.