• The Journal of Bigdata
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• v.3 no.2
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• pp.19-33
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• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

• Journal of the Korean Chemical Society
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• v.53 no.6
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• pp.784-792
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• 2009

In this study, we investigated the unsuitable cases for the hierarchy of the curriculum in science 'teaching-learning lesson plan' which is on the web site of the each city's support center for teaching and learning and Seoul Science Park with a purpose of giving helpful data for science teachers at lessons. The investigation is limited to 'Three states of matter' unit for the 7th grade and the content elements used at analysis was the "state changes of matter", "molecule" and "molecular model". The case found for unsuitable case for the hierarchy of the curriculum was phase equilibrium, ice crystal theory, peculiar property of water, classification of solid, thermal energy and physical change at the "state changes of matter". While the "molecular model" showed molecular motion and density. On the other hand, no case was found at "molecule".

• Journal of Food Hygiene and Safety
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• v.37 no.4
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• pp.249-259
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• 2022

This study investigated pesticide residues in 7,069 agricultural products distributed in the city of Incheon from 2019 to 2021. Ingestion of pesticides can cause serious carcinogenic, endocrine, neurological, and reproductive problems. Pesticide residues in the samples were analyzed using various multi-residue methods (GC-MS/MS, GC-ECD/NPD, LC-MS/MS, and HPLC-UVD) on the Korean Food Code. The violation rate of the samples exceeding the maximum residue level (MRL) of pesticide residues for the years 2019, 2020, and 2021 was 1.0%, 1.4%, and 1.1%, respectively. Diazinon, flubendiamide, procymidone, fluxametamide, and fluquinconazole were the most frequently reported violative pesticide residues. Most commonly encountered agricultural products exceeding MRLs were coriander leaves, chamnamul, chwinamul, welsh onion, and crown daisy. Agricultural products and pesticides frequently exceeding MRLs should be continuously inspected for food safety. Continuous monitoring of pesticide residues in agricultural products is indispensable to improve consumer safety by preventing the distribution of agricultural products exceeding MRLs.

• Korean Journal of Environmental Agriculture
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• v.32 no.1
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• pp.61-69
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• 2013

BACKGROUND: This survey was done to investigate the pesticide residues and to assess their risk on agricultural products on the Markets in Incheon from 2010 to 2012. METHODS AND RESULTS: The total number of samples were 16,025 for agricultural products and these were analyzed by multi-residue method using GC-ECD/NPD, GC-MS, LC-MS/MS and HPLC-PDA/FLD. The violation rates of the samples over maximum residue limits(MRLs) of pesticide residues established by Korean Food and Drug Administration in the survey of 2010, 2011 and 2012 were 1.2%, 0.8% and 0.7%, respectively. CONCLUSION(S): Of the total violated samples, more than 75% of the rates were recorded from the samples of leafy vegetables. Most commonly encountered agricultural commodities over MRLs were Chwinamul, perilla leaves and crown daisy. The pesticides detected yearly over MRLs during three years were endosulfan, chlorpyrifos, diazinon, lufenuron, chlorothalonil, flutolanil, procymidone, ethoprophos. Estimated daily intakes compared to acceptable daily intakes, except radish and Welsh onion, is estimated less harm on human in 10 kinds of pesticides which frequently occurred violation.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.22 no.4
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• pp.72-77
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• 2004

정보검색 시스템의 성능을 평가하는 요소는 재현율(recall)과 정확률(precision)이고, 재현율과 정확률을 결정하는데 가장 큰 영향을 미치는 것은 문서에 대한 색인어와 색인어 가중치이다[1]. '질의어'에 적합한 문서를 검색할 수 있는지를 결정하는 것은 "적합 문서에 대해 색인이 되어 있는가\ulcorner"하는 문제이며, 이는 재현율에 직접적인 영향을 미치게 된다. 즉, 적합 문서를 색인할 때 '질의어'에 대한 색인이 되어 있지 않은 문서는 검색이 되지 않으며, 또한 부적합 문서에 색인이 되어 있으면 부적합 문서들이 다수 검색되기 때문에 정확률이 낮아지게 된다.이 낮아지게 된다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.145-147
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• 2000

Statechart는 기존 상태추이도를 확장한 것으로서, 반응시스템을 명세하기 위해 제안된 가시적 정형기법이다. 그러나 statechart에서의 비결정성은 실시간 시스템에서의 예측가능성에 심각한 문제를 유발할 수 있다. 또한, 이를 해결하기 위한 기존의 우선순위 표현방법은 statechart의 비결정성을 완전히 해결하지 못하고 있을 뿐 아니라 실시간 시스템에서 요구하는 다양하고 동적인 우선순위 변화를 표현하기에 부적합하다. 이와 같은 문제점을 해결하기 위하여 본 논문에서는 미리 예측가능하고 동적으로 우선순위 변화에 표현하기에 부적합하다. 이와 같은 문제점을 해결하기 위하여 본 논문에서는 미리 예측가능하고 동적 우선순위를 변화시킬 수 있는 동적 우선순위 개념을 제안한다.

• Product Safety
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• s.187
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• pp.18-19
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• 2009

• 월간산업보건
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• s.241
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• pp.83-86
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• 2008

• 월간산업보건
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• s.240
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• pp.85-87
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• 2008

• Food Industry
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• s.151
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• pp.98-105
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• 1999