• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.254-257
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• 2008

안전식품에 대한 요구와 국제적 관심사로 대두된 농수축산물의 이력추적관리시스템에 RFID 기술 적용 시, 객체식별을 위한 국제표준 준수와 국가별 표준 코드체계의 정립이 최우선시 된다. 최근 국내에서 표준화 고시된 가축 및 동물개체식별체계 상의 코드구분, 적용형태, 중복, 호환성 및 복제방지 등에 대한 단점 지적과 이견으로 개선의 필요성이 제기되고 있다. 본 연구1)에서는 기존의 국내외 이력추적관리 및 개체식별코드체계 관련 쟁점 및 표준화 동향을 분석한 후 개선방향을 제시한다.

• Food Science and Preservation
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• v.19 no.4
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• pp.611-618
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• 2012

This study was conducted to investigate the perception of the management of food service in schools. The subjects consisted of 271 school dietitians in the Daegu and Gyeongbuk areas. The questionnaire included the food temperature management and the frequency of the food quality confirmation. The sanitation performance of the delivery workers was evaluated with a 5-point Likert scale. The food items for which the proper temperatures while they were being received were difficult to maintain were as follows: ready-to-use vegetables, 49.8%; frozen foods, 30.3%; and fish paste, 27.7%. The frequencies of the food quality confirmation whenever the foods were received were as follows: for beef, 87.5%; pork, 84.5%; chicken, 84.1%; eggs, 73.4%; seafood, 59.4%; and processed foods, 52.8%. The total mean score of the dietitian-perceived sanitation management performance of the delivery workers was 3.86/5.00. The school dietitians said the percentage of the mixed delivery of food items in vans was 80.4%. The percentage of the dietitians who thought this mixed delivery influenced food sanitation and quality was 92.3%. Therefore, safe foods should be supplied to schools with a thorough inspection process and hygiene education, and professional research is required on the appropriate inspection process.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.298-300
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• 2006

RFID는 무선주파수를 이용하여 부착된 태그의 정보를 얻어올 수 있는 시스템이다. 향후에 바코드를 대체할 RFID는 식품,가전,출판,물류,재고관리,교통 등 우리생활의 전반에 걸쳐 사용될 획기적인 시스템이지만, 개인,상품 등의 프라이버시의 노출로 인한 심각한 문제가 발생될 소지가 있다. 이를 해결하기 위하여 암호화 기법, 해쉬 락 기법, 해쉬 체인 기법 등이 제안되었다. 본 논문에서는 기존에 제시되었던 인증기법들에 대해서 알아보고, 해쉬함수와 공통키를 이용하여 좀더 안전한 방법으로 리더와 태그간의 통신을 인증할 수 있는 프로토콜을 제안한다.

• Korean Journal of Poultry Science
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• v.37 no.3
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• pp.289-295
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• 2010

Because some zoonotic Salmonella can be transmitted to human through poultry products, threatening human public health, Salmonella infections in poultry are increasingly worldwide subject to control measures and programs. Given the fact that there are numerous opportunities for Salmonella to gain entry to extensive, integrated poultry operations including the hatching, handling, feeding, and processing facilities, the whole supply chain of poultry meat should be an object of Salmonella control programs as well as biosecurity of poultry farms. This article reviews Salmonella food poisoning caused by poultry source and critical need to control Salmonella in poultry productions, and describes practical strategies.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.235-241
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• 2007

The objective of this study plans on adopting the traceability system in domestic livestock production and marketing channels. This study will examine pork traceability system and investigate the problem and factor in domestic livestock production and marketing channels, and also to examine the international standard in traceability system of goods production and distribution and foreign traceability system. In this study, the traceability system of livestock products is defined as an ability to follow and trace the information about livestock product in the stage of production, processing, manufacturing, distribution, and marketing. The system of traceability for Meat products are Developed and managed that reflected situation of raising, marketing, gathering and of information of model farmers. The formation of system consists of surfing screen of consumers, registration of farming data by farmers, information input screen of gathering of meat products and supply of traceability information of production and gathering. The system should continue the system adjustment after checking effects and problems of traceability by surveying result of consumer, farmers and distributors.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of Food Hygiene and Safety
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• v.25 no.4
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• pp.410-417
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• 2010

Various functional foods, marketing health and functional effects, have been distributed in the market. These products, being in forms of foods, tablets, and capsules, are likely to be mistaken as drugs. In addition, non-experts may sell these as foods, or use these for therapy. Efforts for creating health food regulations or building regulatory system for improving the current status of functional foods have been made, but these have not been communicated to consumers yet. As a result, problems of circulating functional foods for therapy or adding illegal medical to such products have persisted, which has become worse by internet media. The cause of this problem can be categorized into (1) product itself and (2) its use, but in either case, one possible cause is lack of communications with consumers. Potential problems that can be caused by functional foods include illegal substances, hazardous substances, allergic reactions, considerations when administered to patients, drug interactions, ingredients with purity or concentrations too low to be detected, products with metabolic activations, health risks from over- or under-dose of vitamin and minerals, and products with alkaloids. (Journal of Health Science, 56, Supplement (2010)). The reason why side effects related to functional foods have been increasing is that under-qualified functional food companies are exaggerating the functionality for marketing purposes. KFDA has been informing consumers, through its web pages, to address the above mentioned issues related to functional foods, but there still is room for improvement, to promote proper use of functional foods and avoid drug interactions. Specifically, to address these issues, institutionalizing to collect information on approved products and their side effects, settling reevaluation systems, and standardizing preclinical tests and clinical tests are becoming urgent. Also to provide crucial information, unified database systems, seamlessly aggregating heterogeneous data in different domains, with user interfaces enabling effective one-stop search, are crucial.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.128-128
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• 2020

최근 농업환경의 변화와 기후변화에 대응하기 위해 농업용수 관리 정보화 및 과학화의 필요성이 증대되어 실시간으로 저수지 저수량과 농업용수 공급량을 파악하기 위해 자동 수위계측시설이 도입되었다. 농림축산식품부의 저수지 자동수위측정기 설치 및 운영지침에 따라 현재 농어촌공사 관리 저수지 1,734개소 및 수로부 1,880개소에 자동수위계가 설치되어 있으며, 저수지와 수로에서 10분 간격으로 수위자료가 생성되고 있다. 농업용 저수지 수문자료의 공인지점은 2016년 6개소에서 2019년 49개소로 증대되고 있으며, 데이터 품질 저하의 최소화 및 신뢰성 있는 수문자료 생성의 필요성이 증가함에 따라 농업용 저수지의 특성을 반영한 저수지 수위 오결측 데이터 보정 방안 및 수문 자료 품질관리 방안이 요구된다. 농업용 저수지의 수위 변화 및 강우-유출 현상은 물리적 모형을 구축하여 기상, 지형 등 영향 인자와 수위(또는 유출)와의 상관관계를 분석하는 것은 무적으로 불가능하였지만, 최근 인공신경망 (Artificial Neural Network, ANN) 등과 같이 black-box 형태의 모형을 이용하여 비선형적인 수문해석이 가능해졌다. 본 연구에서는 빅데이터와 인공신경망을 결합시킨 알고리즘인 딥러닝 (Deep Learning) 기반의 LSTM (Long Short-Term Memory) 모형을 활용하여 농업용 저수지 수위자료를 검토하여 자동계측기에서 발생하는 오류 보정을 위해 품질관리 방안을 제시하고자 한다.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.281-289
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• 2013

As the number of clinical trials conducted in Korea increases, the need of the Electronic Data Capture (EDC) system for effective clinical data management is also increased. Recently, the Korea Food and Drug Association published 'Guideline for the Electronic Clinical Trial Data Management and Processing' and it would be the foundation for establishing regulation of electronic clinical data management. In this research, we conducted the survey regarding adoption rate of EDC system in clinical trials in hospitals, Contract Research Organizations (CRO), and pharmaceutical companies. And the perceived importance and the ease of application for the Guideline were investigated. The adoption rates of EDC system was 77.6% but it mostly applied to less than five trials. Also EDC system was mostly used in phase I and phase II trials and the utilization rate of CRO was the highest. The perceived importance for the Guideline was high among all three organizations but, in case of the perceived ease of its application, CRO was the highest. Also, the perceived importance of the clinical data standard was high and the standard for data collection was mostly required. However, the comprehension for the global standard of the electronic data was relatively low, so that education is required. This result would be the foundation to increase the electronic clinical trials and develop proper regulation and principles for clinical data standards in Korea.

• Journal of Food Hygiene and Safety
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• v.38 no.3
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• pp.140-151
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• 2023

This study investigated pesticide residues in 367 agricultural products from local food markets in Ulsan. Pesticide residues in these samples were analyzed using multi class pesticide multi-residue methods on the Korean Food Code for 350 pesticides using GC-MS/MS and LC-MS/MS. Residual pesticides were detected in 79 (21.5%) samples and exceeded maximum residual limits (MRLs) in 4 (1.1%) samples (chwinamul, narrow-head ragwort, green onion, apricot). The range of the hazard index (%) was 0.0000-63.1043%, and values for the pesticides that violated the MRLs were 63.1043 (green onion), 0.5417 (chwinamul), 0.0684 (apricot), and 0.0100 (narrow-head ragwort). This risk assessment study showed that the values of hazard index (%) were less than 100%, indicating that the consumption of these local agricultural food products was not harmful for human health.