• 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.

• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.59-88
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• 2021

The National Assembly of the Republic of Korea recently enacted laws to fortify sanctions about data manipulation of pharmaceutical companies. The medicine approval system is the result of legislative efforts to prevent accidents that caused damages to patients' life and health. The medicine approval system is based on the trust that the data submitted by pharmaceutical companies is not manipulated. The Supreme Court of Korea clarified that strict standard shoud be required to secure the medicine safety in Supreme Court Decision 2008Du8628 decided November 13, 2008. We agree. This paper suggest legislation to weaken the economic incentives for pharmaceutical companies to choose data manipulation by minimizing the expected profit. In addition to revoking the marketing authorization of the medicine, the 'unfair' profits the pharmaceutical company has earned must be recovered. In addition, in order to increase the possibility to discover data manipulation, it is necessary to strengthen the review capacity and to activate the whistle-blowing.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.270-279
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• 2023

Purpose: The purpose of this study is to examine the new drugs that recently have shown rapid increase and provide solutions to eradicate them. Method: This study used the relevant preceding studies, statistics, and overseas materials to identify the new drug problems and suggest solutions. Result: Compared to the past, the numbers of criminals detected for the administration, distribution, and production of drugs are rapidly increasing. According to the statistical data on drugs in 2021, the number of drug-related cases decreased compared to the previous year. However, there are concerns because the amount of detected drugs increased more than three times, and the age group of drugrelated criminals are getting younger. Such results are largely affected by the spread of new drugs. In particular, it is deemed to be affected by the spread of new drugs, such as fentanyl, yaba, khat, kratom, etc., as well as the new psychoactive drugs and hemp-related materials. Conclusion: In response to spread of new drugs, this study suggests simplifying the temporary classification of drugs, enforcing control of foreign drug users, strengthening the cooperation with relevant institutions, such as Korea Customs Service and the Ministry of Food and Drug Safety, and intensifying the punishment on the drug users in order to strengthen the countermeasure against the new drugs.

• Food Science and Preservation
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• v.30 no.3
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• pp.459-471
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• 2023

The Bayesian network (BN) model was applied to analyze the characteristic variables that affect compliance with safety inspections of farmed eel during the production stage, using the data from 30,063 cases of eel aquafarm safety inspection in the Integrated Food Safety Information Network (IFSIN) from 2012 to 2021. The dataset for establishing the BN model included 77 non-conforming cases. Relevant HACCP data, geographic information about the aquafarms, and environmental data were collected and mapped to the IFSIN data to derive explanatory variables for nonconformity. Aquafarm HACCP certification, detection history of harmful substances during the last 5 y, history of nonconformity during the last 5 y, and the suitability of the aquatic environment as determined by the levels of total coliform bacteria and total organic carbon were selected as the explanatory variables. The highest achievable eel aquafarm noncompliance rate by manipulating the derived explanatory variables was 24.5%, which was 94 times higher than the overall farmed eel noncompliance rate reported in IFSIN between 2017 and 2021. The established BN model was validated using the IFSIN eel aquafarm inspection results conducted between January and August 2022. The noncompliance rate in the validation set was 0.22% (15 nonconformances out of 6,785 cases). The precision of BN model prediction was 0.1579, which was 71.4 times higher than the non-compliance rate of the validation set.

• Journal of Korean Medical classics
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• v.19 no.4
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• pp.212-218
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• 2006

당금시대(當今時代), 정진입도동서방문명형성상호간적융합공제(正進入到東西方文明形成相互間的融合共濟), 병탐색착이상생적관계진행발전적전절기(幷探索着以相生的關係進行發展的轉折期). 동양사상통과관찰정체적직관여통합적사유방법(東洋思想通過觀擦整體的直觀與統合的思維方法), 설명료우주변화규율화인간적각종난해지미(設明了宇宙變化規律和人間的各種難解之謎), 종이창조출료위대적음양오행론사상(從而創造出了偉大的陰陽五行論思想). 단시수착 '서세동점' 적조류(但是隨着 '西勢東漸' 的潮流), 신위동양인이교육화사유방법이축보서양화(身爲東洋人而敎育和思維方法已逐步西洋化), 미능계승아문적위대전통(未能繼承我們的偉大傳統), 반피서양적과학문명화물질문명소흡수(反被西洋的科學文明和物質文明所吸收). 연이(然而), 서양적임하일종철학급과학(西洋的任何一種哲學及科學), 몰유일개능구이일종원리래설명우주화인간급만물적변화(沒有一個能구以一種原理來說明宇宙和人間及萬物的變化), 즉몰유일개능여동양적음양오행론상필적적철학화이론(卽沒有一個能與東洋的陰陽五行論相匹敵的哲學和理論). 포괄음양오행론재내(包括陰陽五行論在內), 동양사상이기흔강적설복력, 수착과학진보(隨着科學進步), 기가치개시중신피인식(其價値開始重新被認識). 이전뇌화수자혁명위대표적현대문명(以電腦和數子革命爲代表的現代文明), 역시근거음양론적이진법위기초이창조출래적(亦是根據陰陽論的二進法爲基礎而創造出來的). 애인사탄(愛因사坦), 탕천수수(湯川秀樹), 니극발이(尼克勃이), 가포라등(기布羅等), 균대동양사상적위대성가이인가(均對東洋思想的偉大性加以認可), 병종차득도영감(幷從此得到靈感), 취득위대적과학성과(取得偉大的科學成果). 음양오행론시불가마살적절대진리(陰陽五行論是不可磨殺的絶對眞理). 불관대기이론가치급본질무지적인(不管對其理論價値及本質無知的人), 즘양급여평가, 단시저일이론시일개해석자연화인간본질급설명기변화적이론(但是這一理論是一個解釋自然和人間本質及說明其變化的理論), 결부회상실기진정적가치(決不會喪失其眞正的價値).

• Review of KIISC
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• v.21 no.5
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• pp.21-26
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• 2011

최근 들어 인터넷사업자들이 웹상에서 제공하는 새로운 서비스가 각국의 개인정보보호 법제에 저촉되는 사례가 늘고 있다 인터넷사업자들이 국경을 넘어 정보를 수집하고 이를 가공처리, 저장하는 과정에서 본인의 동의를 얻지 않거나 개인정보를 익명처리하지 않은 것이 주로 문제가 되고 있다. 본고는 국제적으로 서비스를 하고 있는 대형 인터넷사업자가 프라이버시 침해 혐의를 받고 있는 사례를 알아보고, 무엇이 문제가 되는지 쟁점을 검토하였다. 특히 현지 감독당국이 글로벌 인터넷사업자의 위법사실을 적발하였더라도 해당 사업자가 대리인이나 분신 도구를 통하여 행동한 사실이 없으면 본사에 제게를 가할 수 없는 실정이다. 사이버공간에서는 실제 위반행위자가 없더라도 중대한 개인정보를 침해하는 결과를 가져온다면 영화 <아바타>에서와 같은 해결방법을 모색해볼 수 있다. 아바타는 독자적인 사고나 판단능력이 전혀 없지만, 나비족이 사는 낙원이 지구인에 의하여 파괴될 수 있는 상황에서 아바타와 이를 조종하는 사람들이 한 몸이 되어 나비족과 힘을 합쳐 아름다운 낙원을 지켜낸다. 즉, 인터넷사업자가 국내 실재하지 않더라도 그의 활동결과로 볼 수 있는 침해행위가 발생하고, 그 결과 회복할 수 없는 피해가 발생할 우려가 있으며, 본인과 아바타를 한 몸으로 볼 수 있다면 아바타를 통해 위법행위를 저지른 본사의 책임자를 처벌할 수 있어야 한다. 만일 그 책임자를 특정할 수 없더라도 그의 감독책임이 있는 본사 법인에 책임을 물을 수 있다고 본다. 만일 법원에서 이러한 '아바타 이론'을 수용한다면 국내에서도 외국 본사에 벌금을 과하는 등 처벌이 가능할 것이다. 다만, 해당 인터넷사업자의 반발도 만만치 않을 것이므로 주요국 개인정보 감독기구는 수사정보를 교환하는 등 국제적으로 긴밀한 협조체제를 갖출 필요가 있다.

• The Inventors News
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• no.48
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• pp.1-16
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• 2006

축사/발명 유비쿼터스 선도하는 언론 지향/'발명하는 사람들' 창간 4주년 맞다/'발명하는 사람들' 창간 4주년을 축하합니다/반도체 공정분야 특허 출원 급증/운동화에도 웰빙 바람/공기청정기 특허출원 꾸준한 증가/차세대 반도체 특허, 회로.응용 분야에 집중/맥주, 이제 병이 아닌 플라스틱 용기에/특허고객콜센터, 품질인증 획득/특허청,'찾아가는 특허검색서비스' 제공/직무발명보상 개정법 관련 세미나/'쟁점별 특허소송 가이드북'제작/특허청 연구회, 고객감동 경영의 밑거름/한국특허정보원,2006 한국서비스대상 공공부문 대상 수상/현대차, 특허침해 찾으면 로열티 10% 지급/나이키 짝퉁, 한해 3백60만 켤레 적발/특허청, 자동차부품연구원과 업무협약/휴대용 포토 프린터 특허 출원 증가/역사 속의 발명품/하루 10분 발명교실/특허Q&A/한국여성발명협회 13년 발자취/미니인터뷰/이공계 대학교수 대상 특허정보 세미나 개최/실용신안 등록출원, 우선심사 대상 확대/자료 수집을 소홀히 마라/특허청 간부진, 고객 현장 속으로/삼성, 중국 저명상표로/포스코, 특허시스템 가동/도미다의 원너 커트/월마트, 짝퉁 '펜디' 판매로 망신살/일본, '지적재산권 입국' 계획 마련/미국-유럽연합, 짝퉁 퇴치 나선다/특허청, 자체 브랜드 '특허로' 첫상표출원/인청 부평지식재산센터, 발명가 초청강연회 개최/'2006 피츠버그 국제전' 에서 국내 발명가 수상/세계 최고 4대 건강식품/특허법원, 책 제목 출판사 소유로/한국여성발명협회 회원사 발명품 가이드/'2006년 여대생 발명캠프'/

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1353-1360
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• 2009

This study examines the effects of internal control system and Analysis of characteristics and Earning management in Vulnerable Cooperation. During research period 2005${\sim}$2007, Purpose of this study is to examines whether financial characteristics has exist or not. Second, Earning management also. As a result of analysis are as follows, First T-test and logistic regression has found explanatory with stastical significance about CURRENT, RNPS, and DEPT. Second, DA of Vulnerable Cooperation is significantly higher than Normal cooperation.

• Proceedings of the KOR-KST Conference
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• 1995.05a
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• pp.51-59
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• 1995

It is an objective of Shanghai urban development to quickly build Shanghai into one of the international centres of economy, finance and trade. To fulfil the objective, a rational urban general layout and a satisfactory traffic network are needed. As a metropolis with complete urban functions and specified geographical position, Shanghai must develop a perfect citytown system that best suits its composite urban distribution. In planning the central city, the principle of "open and multi-centred" and "optimization of land use" should be taken into consideration. To build a satisfactory urban traffic network, emphasis should be laid upon the construction of deefwater wharf, air-field and inforation centre. In addition, determination should be made to build a high-speed traffic means including high speed railroad and express highway so that a public traffic network is realised on and above ground, and underground. A solution of traffic preblem in Shanghai lies in good understanding of traffic policy and strenthening of strategic management combined with a rational layout of traffic circulation.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.467-476
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• 2011

We developed the hybrid model coupled with predictive model and business rule model for administration of injury by utilizing medical data of the National Health Insurance in Korea. We performed decision tree analysis using data mining methodology and used SAS Enterprise Miner 4.1. We also investigated under several business rule for benefits (expense paid by insurer) and claims of injury in National Health Insurance Corporation. We can see that the proposed hybrid model provides a quite efficient plausible results.