• 대한예방한의학회지
• /
• 제19권2호
• /
• pp.123-133
• /
• 2015

The new formular for herbal medicine-safety classification in terms of evidence-based medicine was developed and applied to evaluate various herbal medicines in the previous study. This study is aimed to evaluate the frequently-used herbal medicines inducing toxic metabolites or reactive intermediates(RI), such as Ligusticum wallichii Franch, Angelica sinensis, Glycyrrhizae Radix, Rehmanniae Radix, based on 6 safety grades calculated from human equivalent dose(HED)-based MOS(margin of safety). HED-based MOS can be explained as the ratio of theoretical ALD(approximate lethal dose) of human as $LD_1$(lethal dose of 1%)/ clinical maximum dose as $ED_{99}$(Effective dose of 99%). The herbal medicine showing the ratio less than 1 belongs to Class 1, but the herbal medicine showing the ratio more than 500 belongs to Class 6 with the lowest toxicity. As a result, they were evaluated as class 2 for Angelica sinensis and Glycyrrhizae Radix, class 3 for Ligusticum wallichii Franch and Rehmanniae Radix. These resultant grades for 4 herbal medicines were lower than the grade expected under consideration that these herbal medicines are used very frequently in oriental clinics. These low grades would be due to their ingredients which is biotransformed to toxic metabolites.

• 한국자동차공학회논문집
• /
• 제24권4호
• /
• pp.487-494
• /
• 2016

In order to comply with the Federal Motor Vehicle Safety Standard(FMVSS) No. 208 that has been in force since September 2003, an automatic airbag suppression system has become an essential option for detecting and protecting infants and children seated in the front passenger seat of vehicles in the U.S. market. MOBIS has developed the world's first weight-based OCS under the name NWCS. NWCS is composed of two sensors and ECU. It is sub-packaged in order to minimize the seat structure deviation. In this paper, technical features, robustness and performance of NWCS are summarized and discussed.

• 수산해양교육연구
• /
• 제29권2호
• /
• pp.581-585
• /
• 2017

To strengthen the quality control of aquatic drugs, we compared the internal and external(EU, USA and Japan) aquatic drug classification systems and proposed a new aquatic drug classification system. Aquatic drugs are classified on the basis of their functional the functional characteristics or safety management degree of aquatic drugs. We suggested that the aquatic drugs can be categorized into 7 levels according to their functional characteristics and classified into 3 levels according to the safety management degree of aquatic drugs.

• 대한안전경영과학회지
• /
• 제17권3호
• /
• pp.1-7
• /
• 2015

The study conducted questionnaire analysis to 413 industrial safety field employees in order to examine the necessity and validity of industrial safety field's 17th neo-job classification based on National Competency standards(NCS). As a result, 50.1% of industrial safety management field and 43.3% of industrial health management field answered that classification details of occupational safety and health management field are classified by job(duty) performance. Industrial safety management field recognizes that management and engineering section play a significant role in their work, while industrial health management field recognizes worker's health care and work environment management and overall control of work environment assessment to be significant in their work. Furthermore, industrial safety management field recognizes that separating qualification and foundation of 'construction safety manager', 'chemicals(safety and health) manager', '(toxic)risk assessment evaluator or risk factor manager' to be highly significant. The study is meaningful in that it suggests industrial safety field's qualification items practical in industrial sites.

• 한국원자력학회:학술대회논문집
• /
• 한국원자력학회 2005년도 춘계학술발표회
• /
• pp.805-806
• /
• 2005

• 대한토목학회논문집
• /
• 제8권1호
• /
• pp.61-68
• /
• 1988

본(本) 연구(硏究)에서는 군용전차의 교량통과시 노후도(老朽度)를 비롯한 각종 저항(抵抗) 및 하중(荷重)관련 불확실량(不確實量)을 체계적으로 포함한 한계상태모형(限界狀態模型)을 유도하고, 실용적이며 진보된 2차(次)모멘트 신뢰성(信賴性) 이론(理論)을 사용하여 군용교량(軍用橋梁) 및 일반교량(一般橋梁)의 신뢰성(信賴性)에 기초한 안전도(安全度) 분석방법(分析方法)과 하중저항계수(荷重抵抗係數) 형식의 급수계산방법(級數計算方法)을 제안(提案)하였다. 본(本) 연구(硏究)에서 제안(提案)하는 안전도(安全度) 분석(分析) 및 내하급수(耐荷級數) 판정방법(判定方法)을 몇 개의 실제 교량에 적용하여 보았다. 본(本) 연구(硏究)의 결과 현행 재래식 허용응력개념에 의한 NATO 급수계산방법은 실내하력(實耐荷力) 판정(判定)이 아닌 명목적인 급수판정방법에 불과함을 알 수 있으며, 따라서 본 연구에서 제시(提示)한 신뢰성방법(信賴性方法)에 의한 안전도(安全度) 분석방법(分析方法)과 하중(荷重)-저항계수(抵抗係數)형 급수 계산방법이나 이에 대응하는 합리적인 허용응력법(許容應力法)에 의한 실내하급수(實耐荷級數) 계산방법(計算方法)의 도입이 시급하다고 본다.

• 인터넷정보학회논문지
• /
• 제24권1호
• /
• pp.39-47
• /
• 2023

The development of autonomous driving and Advanced Driver Assistance System (ADAS) technology has grown rapidly in recent years. As most traffic accidents occur due to human error, self-driving vehicles can drastically reduce the number of accidents and crashes that occur on the roads today. Obviously, technical advancements in autonomous driving can lead to improved public driving safety. However, due to the current limitations in technology and lack of public trust in self-driving cars (and drones), the actual use of Autonomous Vehicles (AVs) is still significantly low. According to prior studies, people's acceptance of an AV is mainly determined by trust. It is proven that people still feel much more comfortable in personalized ADAS, designed with the way people drive. Based on such needs, a new attempt for a customized ADAS considering each driver's driving style is proposed in this paper. Each driver's behavior is divided into two categories: assertive and defensive. In this paper, a novel customized ADAS algorithm with high classification accuracy is designed, which divides each driver based on their driving style. Each driver's driving data is collected and simulated using CARLA, which is an open-source autonomous driving simulator. In addition, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) machine learning algorithms are used to optimize the ADAS parameters. The proposed scheme results in a high classification accuracy of time series driving data. Furthermore, among the vast amount of CARLA-based feature data extracted from the drivers, distinguishable driving features are collected selectively using Support Vector Machine (SVM) technology by comparing the amount of influence on the classification of the two categories. Therefore, by extracting distinguishable features and eliminating outliers using SVM, the classification accuracy is significantly improved. Based on this classification, the ADAS sensors can be made more sensitive for the case of assertive drivers, enabling more advanced driving safety support. The proposed technology of this paper is especially important because currently, the state-of-the-art level of autonomous driving is at level 3 (based on the SAE International driving automation standards), which requires advanced functions that can assist drivers using ADAS technology.

• 한국안전학회지
• /
• 제24권6호
• /
• pp.7-12
• /
• 2009

This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.

• Journal of Applied Biological Chemistry
• /
• 제56권4호
• /
• pp.191-197
• /
• 2013

To classify the chemical hazard according to globally harmonized system of classification and labeling of chemicals (GHS), we investigated the genotoxicity of three chemicals, methyl myristate, 2-ethylhexanoic acid zinc salt, N,N,N',N'-tetrakis(2-hydroxyethyl) ethylenediamine, using male ICR mice bone marrow cells for the screening of micronucleus induction. Although these three chemicals have already been tested numerous times, a micronucleus test has not been conducted. The seven week-old male ICR mice were tested at three dosages for the three chemicals, respectively. After 24 h of oral administration with the three chemicals, the mice were sacrificed and their bone marrow cells were prepared for smearing slides. As a result of counting the micronucleated polychromatic erythrocyte (MNPCE) of 2,000 polychromatic erythrocytes, all treated groups expressed no statistically significant increase of MNPCE compared to the negative control group. There were no clinical signs related with the oral exposure of these three chemicals. It was concluded that these three chemicals did not induce micronucleus in the bone marrow cells of ICR mice, and there was no direct proportion with dosage. These results indicate that the three chemicals have no mutagenic potential under each test condition, and it is not classified these chemicals as mutagens by GHS.

• 생명과학회지
• /
• 제24권7호
• /
• pp.804-811
• /
• 2014

Cyclohexanone의 GHS 분류 기준에 따른 화학물질의 변이원성 구분을 위해, 다른 연구에서는 아직까지 수행된 바 없는 ICR계 마우스의 골수세포를 이용하는 in vivo 소핵시험을 수행하였다. 7주령의 수컷 ICR계 마우스에 동 시험물질의 3가지 농도를 투여하였으며, 경구투여 24시간 후에 도살, 골수세포를 채취하여 슬라이드 표본을 제작하였고, 2,000개의 다염성적혈구 중 소핵을 갖는 다염성 적혈구(MNPCE)를 계수하였다. 모든 투여군에서 cyclohexanone은 골수세포의 증식을 억제하지 않았으며, 소핵을 유발하였다. 이 골수세포를 이용한 소핵시험의 결과로 동 시험물질(cyclohexanone)은 GHS 분류기준에 의거, 변이원성 구분2로 분류하였다.