• 제목/요약/키워드: Harmful machine

검색결과 88건 처리시간 0.04초

O-링 테스트의 실험적 검토 (Experiment and verification of the O-ring test)

  • 최기훈;김영탁;여인철
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 추계학술대회 논문집
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    • pp.64-67
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    • 2000
  • It is usual that the medical examination of human body need special knowledpe and equipments. Thus we have to spend Lime and energy on going to special place such as hospital where doctors and equipments are. Which often cause missing a good chance af medical treatment as well as giving us inconvenience. However many simple and convenient equipments were developed for checking our health conditions recently. O-ring test is accepted a3 one of useful methods to examine our heallb conditions. Also the test is recognized as a uscful means to judge, withoul any special equipment and medical knowledge, if some medical substances or foods are beneficial or harmful to our health. However, the judgement may be mcorrect because it depend on doctor's subjective point of view.In this study, we developed an automatic O-ring t a r mach~ne which enable us to check our health conditions objectively and quantitatively. The validity of the idea to develope the machine was proved by experiments.

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Filter 조립 자동화 시스템 설계에 관한 연구 (A Study on the Design of Filter Assembly Automation System)

  • 김홍건
    • 한국공작기계학회논문집
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    • 제17권6호
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    • pp.111-117
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    • 2008
  • An automation process of filter unit is presented for the application of the assembling procedure and dry furnace work. By that automation procedure, it is expected to enhance working environment such as reducing laboring load, harmful gas, and burning scald. Furthermore, this automation process also minimizes via standardization of manufacturing process so that it may increase productivity and reliability. An automation process of filter unit is presented for the application of the assembling procedure and dry furnace work. Filter automation process also gives a good quality and productivity by simplifying to only one line from the complicated process such as filter cutting$\rightarrow$ adhering$\rightarrow$fabricating in a very small space. It is found that a new conceptual design of dry furnace shows the better quality like uniform heat distribution compared to the conventional design. It is also found that the present design gives a better working environment by adding cooling system.

오일미스트 조건에서의 금형강의 최적절삭조건 (Optimum Machining Condition of Die Steel In The Oil-mist Condition)

  • 김상민;김준현;김주현
    • 한국공작기계학회논문집
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    • 제15권2호
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    • pp.59-65
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    • 2006
  • The purposes of using cutting fluid during cutting have been cooling, lubricating, chip washing and anti-corroding. However, the present manufacturing industry restricts the use of cutting fluid because cutting fluid contains poisonous substances which are harmful to the human body. Therefore environmentally conscious machining and technology have more important position in machining process because cutting fluids have significant influence on the environment in milling process. In this study, environmentally conscious machining can be obtained by the way of selecting the optimum machinig conditon using the design of experiment. Cutting using oil-mist showed better cutting characteristics than dry, air and fluid cutting with respect to by cutting force, tool wear and surface roughness. Also, the optimum machining condition for cutting using oil-mist could be selected through Taguchi method.

Influence of High PV Penetration and STATCOM on Rotor Angle Stability of SMIB Transmission System

  • Selwa, FETISSI;Djamel, LABED;Imen, LABED
    • Journal of Electrical Engineering and Technology
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    • 제13권2호
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    • pp.849-857
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    • 2018
  • This paper aims is to study the effect of photovoltaic generation penetration and STATCOM on the transient stability of a single machine infinite bus (SMIB) system based on the rotor angle stability. The influence of STATCOM and PV penetration can be seen through damping oscillations, so that the generator remains stable with the rest of the system for various fault conditions. The simulation results obtained make it possible to efficient identify harmful and beneficial impact of increasing the PV penetration and the existence of STATCOM capability. The system model is created in MATLAB/ SIMULINK software.

4M 방식에 의한 화학실험실 위험성 평가 기법

  • 김종인;이동호
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2008년도 춘계학술대회
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    • pp.11-18
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    • 2008
  • This research modified the checklist used in the universities in USA, England and Korea considering the current situation of Korea, and conducted case studies upon each section of appointed chemical laboratories based on 4M criteria, which stands for Machine, Media, Man and Management. The purpose of the studies is to assess how dangerous the laboratories are and to contribute to prevention of accidentsin the laboratories as well as reducing loss of lives and property. The result of this research found out the harmful and hazardous factors based on the 4M-type checklist and predicted the dangerousness as it multiplies possible frequency by intensity. Protective equipment, safety facilities in laboratories, emergency exit and compressed gas cylinder are found to be more dangerous, so the result shows that it is desirable to improve ventilation, safety facilities and circumstances of the laboratory through the investment.

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Defending and Detecting Audio Adversarial Example using Frame Offsets

  • Gong, Yongkang;Yan, Diqun;Mao, Terui;Wang, Donghua;Wang, Rangding
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권4호
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    • pp.1538-1552
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    • 2021
  • Machine learning models are vulnerable to adversarial examples generated by adding a deliberately designed perturbation to a benign sample. Particularly, for automatic speech recognition (ASR) system, a benign audio which sounds normal could be decoded as a harmful command due to potential adversarial attacks. In this paper, we focus on the countermeasures against audio adversarial examples. By analyzing the characteristics of ASR systems, we find that frame offsets with silence clip appended at the beginning of an audio can degenerate adversarial perturbations to normal noise. For various scenarios, we exploit frame offsets by different strategies such as defending, detecting and hybrid strategy. Compared with the previous methods, our proposed method can defense audio adversarial example in a simpler, more generic and efficient way. Evaluated on three state-of-the-arts adversarial attacks against different ASR systems respectively, the experimental results demonstrate that the proposed method can effectively improve the robustness of ASR systems.

담수 유해남조 세포수·대사물질 농도 예측을 위한 머신러닝과 딥러닝 모델링 연구동향: 알고리즘, 입력변수 및 학습 데이터 수 비교 (Machine- and Deep Learning Modelling Trends for Predicting Harmful Cyanobacterial Cells and Associated Metabolites Concentration in Inland Freshwaters: Comparison of Algorithms, Input Variables, and Learning Data Number)

  • 박용은;김진휘;이한규;변서현;황순진;신재기
    • 생태와환경
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    • 제56권3호
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    • pp.268-279
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    • 2023
  • 근래에 들어, 머신러닝과 딥러닝 모델은 다양한 수체 내 수질변화를 예측하기 위해 광범위하게 사용되고 있다. 특히, 담수호의 물 이용과 수생태계 건강성에 위협 요인으로 작용할 수 있는 유해남조의 발생을 예측하기 위해 많은 연구자들이 인공지능 모델을 활용하고 있다. 따라서, 본 연구에서는 최근까지 유해남조의 발생을 예측하기 위해 적용된 인공지능 모델링의 선행 연구들을 검토하였고, 딥러닝을 포함하여 머신러닝 모델을 이용한 이 분야 연구의 발전방향을 모색하고자 하였다. 먼저, Elsevier의 초록 인용 데이터베이스인 Scopus를 활용하여 체계적인 문헌 연구를 수행하였다. 주요 키워드를 이용하여 탐색 및 정리된 문헌들을 리뷰한 결과, 딥러닝 모델은 주로 남조 세포수 예측에만 사용되었고, 머신러닝 모델은 남조 세포수 이외에 microcystin, geosmin, 2-MIB와 같은 대사물질 예측에도 초점을 맞추고 있었다. 또한, 남조 세포수와 대사물질의 예측을 위해 활용된 입력변수들은 현저한 차이가 있었다. 남조의 대사물질을 예측하기 위해 딥러닝 모델이 적용된 바가 없었는데, 향후 빅데이터 구축을 통한 대사물질을 예측하는 연구가 필요할 것으로 사료된다.

머신러닝을 활용한 팔당호 유해남조 세포수 예측 (Prediction of harmful algal cell density in Lake Paldang using machine learning)

  • 변서현;이한규;김진휘;신재기;박용은
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.234-234
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    • 2023
  • 유해 남조 대발생(Harmful Algal blooms, HABs)이 담수호에 발생하면 마이크로시스틴과 같은 독성물질과 맛·냄새 물질을 생성하여 상수원이용과 친수활동을 방해한다. 그래서 유해 남조 대발생 전 유해남조 세포수를 예측하여 선제적 대응하는 것은 중요하다. 따라서 본 연구는 머신러닝기반 Random Forest(RF)를 활용하여 팔당댐 앞의 유해남조 세포수를 예측하는 모델을 개발하고 성능을 평가하고자 한다. 모델 구축을 위해 2012년 4월부터 2021년 12월까지의 팔당호(삼봉리, 경안천) 및 남북한강(의암댐~이포보)권역의 조류, 수질, 수리/수문, 기상 자료를 수집하여 입력 및 출력 자료로 이용하였다. 수집된 데이터에는 다양한 입력변수들이 있어 남조 세포수 예측 성능 비교를 위한 전체 26개 변수 적용과 통계학적으로 상관관계가 높은 12개 변수 적용을 통해 모델을 구축하였다. 입력, 출력 자료로 이용한 유해남조 세포수는 로그변환된 값으로 사용하였으며 일반적인 조류 시료 채취기간이 7일이므로 7일 후를 예측하기 위한 모델을 구축하였다. 구축한 모델의 성능은 실측데이터와 예측데이터의 R2로 산출하여 평가하였다. 전체 26개 입력변수로 모델 구축 후 학습 및 검증 수행 결과 R2의 학습 0.803, 검증 0.729로 나타났고, 유해남조 세포수와 유의미한 상관관계를 보이는 12개 입력변수로 모델 구축 후 학습 및 검증 수행 R2은 학습 0.784, 검증 0.731로 나타났다. 두 모델의 성능을 살펴본 결과 입력변수 개수의 변화에 따른 성능차이는 크지 않은 것으로 나타났으며, 남조세포수 예측을 위한 모델로서 활용가능함을 알 수 있었다. 향후 연구에서는 Random Forest 외 다른 기계학습 모델들과 딥러닝 모델을 통해 남조세포수 예측 성능이 높은 모델을 구축해볼 필요성이 있다.

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대구지방 산업장에 있어서 건강장애요인과 작업환경검사에 대한 기업인의 수용태도 (ll) (Status of Industrial Environments of Some Industries in Taegu Kyungpook Area)

  • 김두희;성수원
    • 월간산업보건
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    • 통권8호
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    • pp.4-30
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    • 1988
  • Examination of working environments was conducted to get more detailed data about harmful working environments and to make a contribution to more effective management. Study was carried out on 722 factories located in Taegu city and eight counties in Kyungpook Province, Korea, for a period of one year, from February 1 to December 30, 1986. The total number and proportion of workers exposed to harmful material was 37,697, 45.2% among 83,368 workers. The results according to exposed material were as follows: 1. In the case of noise, proportion of exceeding the 8-hour TLV was 59%, Included were nail-cutting in assembly metal manufacturing industry and weaving process in textile. 2. Dust in mill process of coal manufacturing industries exceeded the TLV of second class of dust at all parts and exceeded the TLV at 6% as a whole.: 3. The fields of industry lower than 70 lux of illumination were storage equipment of food, auto-winder of textile, painting of wood wares and coal mixing, and 44% of all cases was lower than standard. 4. As a result of temperature index investigation(WBGT), about 12% of all sujects exceeded limit value. Included parts were rolling machine and reducing room. 5. In the case of organic solvents, TLV was exceeded at about 8%, The parts exceeded TLV according to materials belonged to this category were as follows. 1) Toluene: adhesive work in assembly metal manufacturing 2) Xylene: printing and paint mixing in chemical manufacturing 3) Methyl ethytl ketone: paint mixing in all parts examined and coating machine partially in chemical manufacturing 4) Methyl isobutyl ketone: printing in chemical manufacturing 5) Acetone: vapor polishing in assembly metal manufacturing 6. Among specified chemical materials, the concentration of HC1 in the air in metal assembly manufacturing factory exceeded TLV. in one of three assembly metal manufacturing examined. Others, such as benzene, acetic acid, formic acid, sodium hydroxide, formalin, ammonia, copper, chromate etc. were lower than TLV in its indoor atmospheric concentration. As a whole, the proportion of exceeding TLV was about 0.8% 7. The concentrations of inorganic lead were lower than TLV in all parts examined. The results of this investigation show the fact that current management of working environments is not satisfactory, and so more active management is needed.

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선박폐수 처리공정의 개발에 관한 사례 (A Case Study on the Development of New Process for Treatment of Waste Waters from Ships)

  • 최상모;허인석;양석준
    • 해양환경안전학회지
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    • 제15권1호
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    • pp.71-78
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    • 2009
  • 해양환경관리공단은 MARPOL 73/78에 따른 해양환경 보전을 위하여 1998년 정부로부터 전국 13개 주요 항만에 위치한 선박폐수 처리시설을 위탁받아 운영해왔다. 이 시설은 선박폐수를 처리함에 있어 단순히 해양환경관리법에서 정한 유분농도(n-H 광유류) 15ppm을 충족할 수 있도록 설계되어 운영되어 왔다. 그러나 선박폐수에는 n-H 광유류 뿐만 아니라 유기물에 의한 악취와 각종 불순물이 함유되어 있기 때문에 이들이 처리되지 않고 그대로 해양에 배출됨으로써 해양오염은 물론 주변 인가 등으로부터 민원의 대상이 되었다. 이에 따라 공단은 지난 2007년 선박폐수 처리공정 개선 작업을 시행하여 새로운 수처리 약품을 개발하여 적용하고, 오존을 이용하여 기존의 공정을 3${\sim}$4 단계 줄이면서도 배출수의 유분농도 뿐만 아니라 콜로이드물질, ABS, 인, 질소 등 난분해성 유기물질과 미생물 분해에 의한 악취를 효과적이고 혁신적으로 저감 시킬 수 있는 새로운 공정을 개발하여 현장에 적용시켰다. 새로운 공정은 각종 오염물질과 악취를 획기적으로 제거할 뿐만 아니라 공정의 단순화를 통해 시설 유지비 10% 이상 절감 등 13개 선박폐수 처리시설 운영비를 매년 1억6천만원 이상 줄일 수 있는 획기적인 공정으로 방법특허를 출원하였다.

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