• 제목/요약/키워드: exposure classification

검색결과 184건 처리시간 0.028초

대청댐 유역 상수리나무림의 식물사회학적 특성 (Phytosociological Characteristics of Qeurcus acutissima Forest in Daecheong-dam basin)

  • 김성열;문건수;임성빈;백혜정;송원경;최재용
    • 한국환경복원기술학회지
    • /
    • 제24권2호
    • /
    • pp.85-102
    • /
    • 2021
  • Phytosociological characteristics on Quercus acutissima forests distribution in Daechong-dam basin survey has been carried out using Z.-M. School's methodology and numerical-classification analyses. A total of 43 phytosociological relevés were sampled. Syntaxa were described as Oplismenus undulatifolius-Quercus acutissima community(typicum subcommunity, Phryma leptostachya var. asiatica subcommunity, Ulmus davidiana var. japonica subcommunity), Quercus acutissima community and Quercus variabilis-Quercus acutissima community (typicum subcommunity, Castanea crenata subcommunity). The above three plant communities were classified with species composition reflecting local environmental characteristics of mountain topographies, inclination degrees, and rock exposure rates. Conclusively, those communities were recognized as secondary vegetation affected by high intensity and frequency of human impacts as they inhabited in southward hill lands and low lying grounds in mountains adjacent to human settlements and arable lands. Quercus acutissima community was classified as rural type syntax based on their inlandward distribution and species composition differences from urban forests. Afforest process and natural succession were discussed in relation with habitat environmental elements of Quercus acutissima forest in the survey area.

Hepatotoxic mechanism of diclofenac sodium on broiler chicken revealed by iTRAQ-based proteomics analysis

  • Sun, Chuanxi;Zhu, Tianyi;Zhu, Yuwei;Li, Bing;Zhang, Jiaming;Liu, Yixin;Juan, Changning;Yang, Shifa;Zhao, Zengcheng;Wan, Renzhong;Lin, Shuqian;Yin, Bin
    • Journal of Veterinary Science
    • /
    • 제23권4호
    • /
    • pp.56.1-56.17
    • /
    • 2022
  • Background: At the therapeutic doses, diclofenac sodium (DFS) has few toxic side effects on mammals. On the other hand, DFS exhibits potent toxicity against birds and the mechanisms remain ambiguous. Objectives: This paper was designed to probe the toxicity of DFS exposure on the hepatic proteome of broiler chickens. Methods: Twenty 30-day-old broiler chickens were randomized evenly into two groups (n = 10). DFS was administered orally at 10mg/kg body weight in group A, while the chickens in group B were perfused with saline as a control. Histopathological observations, serum biochemical examinations, and quantitative real-time polymerase chain reaction were performed to assess the liver injury induced by DFS. Proteomics analysis of the liver samples was conducted using isobaric tags for relative and absolute quantification (iTRAQ) technology. Results: Ultimately, 201 differentially expressed proteins (DEPs) were obtained, of which 47 were up regulated, and 154 were down regulated. The Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted to screen target DEPs associated with DFS hepatotoxicity. The regulatory relationships between DEPs and signaling pathways were embodied via a protein-protein interaction network. The results showed that the DEPs enriched in multiple pathways, which might be related to the hepatotoxicity of DFS, were "protein processing in endoplasmic reticulum," "retinol metabolism," and "glycine, serine, and threonine metabolism." Conclusions: The hepatotoxicity of DFS on broiler chickens might be achieved by inducing the apoptosis of hepatocytes and affecting the metabolism of retinol and purine. The present study could provide molecular insights into the hepatotoxicity of DFS on broiler chickens.

The Relationship between Hospital Selection by Employer and Disabilities in Occupational Accidents in Korea

  • Ahn, Joonho;Jang, Min;Yoo, Hyoungseob;Kim, Hyoung-Ryoul
    • Safety and Health at Work
    • /
    • 제13권3호
    • /
    • pp.279-285
    • /
    • 2022
  • Background; In the event of an industrial accident, the appropriate choice of hospital is important for worker health and prognosis. This study investigates whether the choice of hospital by the employer in the case of industrial accidents affects the prognosis of injured employees. Methods; Data from the 2018 Panel Study of Workers' Compensation Insurance in Korea were used in an unmatched case-controlled study. The exposure variable is "hospital selection by an employer," and the outcome variable is 'worker's disability." Odds ratios (ORs) were estimated by modified Poisson regression and adjusted for age, gender, underlying disease, injury severity, and workplace size and stratified by industrial classification. The group at increased risk was analyzed and stratified by age, gender, and area. Results; In the construction industry, hospital selection by the employer was significantly associated with increased risk of disability (adjusted OR 1.26; 95% confidence interval [CI]; 1.20-1.32) and severe disability (adjusted OR 1.38; 95% CI; 1.08-1.76) among the injured. Female and younger workers not living in the Seoul capital area were more at risk of disability and severe disability than those living in the Seoul capital area. Conclusions; Hospital selection by employers affects the prognosis of workers injured in an industrial accident. For protecting workers' health and safety, workplace emergency medical systems should be improved, and the selection of appropriate hospitals to supply treatment should be reviewed.

XGBoost를 사용한 반도체 노광 공정 계측 결과 예측 (Prediction of Semiconductor Exposure Process Measurement Results using XGBoost)

  • 신정일;박지수;손진곤
    • 한국정보처리학회:학술대회논문집
    • /
    • 한국정보처리학회 2021년도 춘계학술발표대회
    • /
    • pp.505-508
    • /
    • 2021
  • 반도체 회로의 미세화로 단위 공정이 증가하면 TAT(turn-around time) 증가에 따른 제조 비용이 늘어난다. 반도체 공정 중 포토 공정은 마스크의 회로를 웨이퍼에 전사하는 공정으로 전사를 담당하는 노광장비의 성능에 의해 회로의 정확성이 결정된다. 이런 정확성을 검증하는 계측공정은 회로의 미세화가 진행될수록 필요성은 증가하나 TAT 증가의 주된 요인으로 최근 기계학습을 사용한 다양한 예측 모형들의 개발로 계측 결과를 예측하는 실험들이 진행되고 있다. 본 논문은 노광장비 센서들의 이상값을 감지하여 분류 후 계측공정을 진행하는 LFDC(Lithography Fault Detection and Classification) 시스템의 문제인 분류 성능이 떨어지는 것을 해결하기 위해 XGBoost를 사용하여 계측공정을 진행하지 않고 노광장비 센서의 이상값을 학습된 학습기를 통해 분류하여 포토 공정을 재진행하거나 다음 공정을 진행하는 방법을 실험하였다. 실험에서 사용된 계측 결과 예측 모형은 89%의 정확도를 확보하였고 반도체 데이터 특성인 심각한 불균형의 데이터에 대해서도 같은 정확도를 얻었다. 이런 결과는 노광장비 센서들의 이상값에 대해 89%는 정상으로 판단하였고 정상으로 판단한 웨이퍼를 실제 계측 시 예측과 같은 결과를 얻었다. 계측 결과 예측 모형을 사용하면 실제 계측을 진행하지 않고 노광장비 센서들의 이상값에 대한 판정을 할 수 있어 TAT 단축으로 제조 비용감소, 계측 장비 부하 감소 및 효율 향상을 할 수 있다. 하지만 본 논문에서는 90%의 성능을 보이는 계측 결과 예측 모형으로 여전히 10%에 대해서는 실제 계측이 필요한 문제에 대해 추후 더 연구가 필요하다.

Spam Image Detection Model based on Deep Learning for Improving Spam Filter

  • Seong-Guk Nam;Dong-Gun Lee;Yeong-Seok Seo
    • Journal of Information Processing Systems
    • /
    • 제19권3호
    • /
    • pp.289-301
    • /
    • 2023
  • Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

독성 화학물질 누출사고 대응 기술연구 - 불산 및 암모니아 누출을 중심으로 - (A Study on the Response Technique for Toxic Chemicals Release Accidents - Hydrogen Fluoride and Ammonia -)

  • 윤영삼;조문식;김기준;박연신;황동건;윤준헌;최경희
    • 한국위험물학회지
    • /
    • 제2권1호
    • /
    • pp.31-37
    • /
    • 2014
  • Since the unprecedented hydrogen fluoride leak accident in 2012, there has been growing demand for customized technical information for rapid response and chemical accident management agencies including the Ministry of Environment, the National Emergency Management Agency, and the National Police Agency need more information on chemicals and accident management. In this regard, this study aims to provide reliable technical data and guidelines to initial response agencies, similar to accident management technical reports of the US and Canada. In this study, we conducted a questionnaire survey and interviews on initial response agencies like fire stations, police stations, and local governments to identify new information items for appropriate initial response and improvements of current guidelines. We also collected and reviewed the Canada's TIPS, US EPA's hydrogen fluoride documents, domestic and foreign literature on applicability tests of control chemicals, and interview data, and then produced items to be listed in the technical guidelines. In addition, to establish database of on-site technical information, we carried out applicability tests for accident control data including ① emergency shut down devide, safety guard, shut down valve, ground connection, dyke, transfer pipe, scrubber, and sensor; ② literature and field survey on distribution type and transportation/storage characteristics (container identification, valve, ground connection, etc.); ③ classification and identification of storage/transportation facilities and emergency management methodslike leak prevention, chemicals control, and cutoff or bypass of rain drainage; ④ domestic/foreign analysis methods and environmental standards including portable detection methods, test standards, and exposure limits; and ⑤ comparison/evaluation of neutralization efficiency of control chemicals on toxic substances.

K1 원자로 및 내부구조물 절단해체 공정에 대한 연구 (A Study on Segmentation Process of the K1 Reactor Vessel and Internals)

  • 황영환;황석주;홍성훈;박광수;김남균;정덕원;김천우
    • 방사성폐기물학회지
    • /
    • 제17권4호
    • /
    • pp.437-445
    • /
    • 2019
  • 고리1호기의 영구정지 이후 해체공정에 대해 관심이 집중되고 있다. 방사선관리구역 내부 방사화구조물의 해체는 2026년 이후 본격적으로 진행될 예정이다. 원자로와 내부구조물은 원자력발전소의 구조물 중 가장 높은 수준의 방사능을 갖고 있으며 1차측의 대표적인 중량물로, 절단해체 과정에서 방사선학적 측면과 산업안전 측면에서 주의가 요구된다. 효율적인 해체 폐기물 관리를 달성하기 위해 원자로와 내부구조물의 절단해체공정에 대한 연구가 수행되었다. 방사화 평가결과 내부구조물의 노심 측면부와 상/하부의 일부는 중준위 폐기물로 평가되었고 이외의 구성품은 저준위로 평가되었다. 상대적으로 방사화가 많이 되고 복잡한 형상을 갖는 내부구조물의 경우 작업자의 피폭을 저감하기 위해 수중에서 다양한 절단방법을 통해 원격절단하는 방안이 제안되었고, 절단물은 약 19개의 극저준위/저준위 포장용기와 9개의 중준위 포장용기에 적재될 것으로 예상되었다. 방사화 평가결과 원자로의 노심 측면부는 저준위 폐기물로 평가되었고 이외의 부분은 극저준위 또는 자체처분수준의 폐기물로 확인되었다. 상대적으로 방사화가 적게 된 원자로의 경우 열적절단 방법을 사용해 현재위치에서 인양하며 공기중에서 원격절단하는 방안이 제안되었고, 절단물은 약 42개의 극저준위/저준위 포장용기에 적재될 것으로 예상되었다.

일부 대체세정제 제조업체의 물질안전보건자료의 실태와 그 화학물질의 유해성 평가에 관한 연구 (Survey of Actual Conditions of Material Safety Data Sheet and Quantitative Risk Assessment of Toxic Substances : Substitutes for Degreasing Agents)

  • 윤종국;전태원;정진갑;이명희;이상일;차상은;유일재
    • 한국산업보건학회지
    • /
    • 제10권2호
    • /
    • pp.18-26
    • /
    • 2000
  • Since the regulation of MSDS (Material Safety Data Sheets) had started from July 1996, employers were required to furnish MSDS for the chemicals in use in their workplace. However, many MSDS did not contain upright information for the chemicals, and they were not updated regularly, and were not written in the standard format required by the Industrial Safety and Health Act (ISHA). The purposes of this study were 1) to examine the reliability of MSDS for mixed solvents, 2) to provide reliable MSDS to employers or employees, 3) to find out any difficulties in implementing MSDS after the initiation, and 4) to promote regular MSDS updating and to ensure the reliability of MSDS for chemical manufacturers. To check the reliability of MSDS of mixed chemicals, 21 samples of mostly degreasing solvents were collected along with their MSDS from the work place. The samples were analyzed by gas chromatography-mass selective detector(GC-MSD). Their components were classified as saturated hydrocarbon, cyclic hydrocarbon, aromatics, and halogen containing hydrocarbon, and the amount of each class were measured. Manufacture's MSDS were compared with the actual composition of the collected samples, and further examined the reliability by checking whether the chemicals analyzed were included in the MSDS correctly. Finally, each item of MSDS was evaluated whether the MSDS correspond to the regulation required by ISHA. The results were following: 1) most of the degreasing solvents in MSDS were incorrect in their composition and contents, 2) the information in the MSDS including hazard classification, exposure level, toxicity, regulatory information were incorrectly provided, and 3) some MSDS did not disclose carcinogens in their MSDS. Continuous monitoring of MSDS was required to ensure reliability of MSDS. The Chemicals containing hydrocarbons from C10-C15 need to be tested to provide toxicity data. In addition, governmental support for providing correct MSDS was recommended to ensure reliability of MSDS. The MSDS regulation relating to the confidential business information may need to be revised to ensure reliability of MSDS.

  • PDF

가시광 및 근적외선 전투과 스펙트럼을 이용한 갈색 혈란 비파괴선별 방법 개발 (Development of Nondestructive Sorting Method for Brown Bloody Eggs Using VIS/NIR Spectroscopy)

  • 이홍석;김대용;라리트 칸드팔;이상대;모창연;홍순중;조병관
    • 비파괴검사학회지
    • /
    • 제34권1호
    • /
    • pp.31-37
    • /
    • 2014
  • 본 논문에서는 가시광 및 근적외선(VIS/NIR) 분광기술을 이용하여 혈란을 비파괴적으로 검출할 수 있는 측정방법을 개발하고자 하였다. 실험에 사용된 혈란 시료는 0.1 mL, 0.07 mL, 0.04 mL, 0.01 mL의 닭의 혈을 인공적으로 노른자 주변에 주입하여 제작하였다. 분석을 위해 사용된 스펙트럼 영역은 471 ~ 1154nm 이었으며, 스펙트럼 해상도는 1.5 nm이었다. 혈란 측정을 위한 두 개 광원의 각도는 30도이었으며 광원과 시료간 거리는 100 mm로 설정하였다. 또한 광원의 열로 인해 시료가 손상되지 않도록 측정을 위한 노출시간은 30 ms으로 설정하였다. 측정된 스펙트럼에 부분최소자승 분류방법(PLS-DA)을 적용하여 선별모델을 개발하였다. 개발된 모델들로 분석한 결과 혈란의 선별 정확도는 0.1 mL, 0.07 mL 0.04 mL, 0.01 mL 혈란 시료에 대해 각각 97.9%, 97.9%, 94.8%, 86.5% 이었다. 가시광 및 근적외선 스펙트럼 기술은 0.04 mL 이상의 혈점이 포함된 혈란을 비파괴적으로 선별 할 수 있는 가능성을 보여 주었다.

충남 일부 지역 병의원의 농약살포 중 중독 사례 분석 및 보건관리방안 연구 (A Study on the Case Analysis and Health Management of Patients with Pesticide Poisoning from Spraying Pesticide in Hospitals in the Chungnam, Korea)

  • 문선인;최지희;노상철
    • 한국산업보건학회지
    • /
    • 제29권4호
    • /
    • pp.541-549
    • /
    • 2019
  • Objectives: This study aims to examine patients who developed acute pesticide poisoning while spraying or using pesticide and presented to the emergency department in hospitals in Chungcheongnam-do Province. Based on the findings, this study will provide implications for safety and health management pertaining to the use of pesticides. Methods: Pesticide poisoning data collected by the Chungnam Center for Farmers' Safety and Health from 2014 to 2018 was cross-sectionally analyzed. A total of 331 patients with pesticide poisoning presented to one of hospitals and four of medical centers in the region(Dankuk University Hospital, Gongju and Hongsung, Cheongyang, Cheonan Medical Center). Seventeen of these patients (15 men and two women) developed poisoning while spraying pesticide. The patients' charts were reviewed to collect data on pesticide poisoning, namely currently working in farming-related occupation, means of transportation to the hospital, place of poisoning, symptoms of acute pesticide poisoning, treatment, pesticide used when poisoning occurred, and classification by technical ingredients. Results: Fifteen out of 17 patients who developed poisoning while spraying pesticide were men. Insecticide was used in 35.3% of the cases, and herbicide was used in 29.4% of the cases, which was different from cases of poisoning from ingestion poisoning. The major symptoms were vomiting (35.3%), nausea (29.4%), dizziness (29.4%), and headache (23.5%). A total 11 ingredients were identified in 12 patients, and the most common ingredient was glyphosate, which is an herbicide. Most patients showed a state of mild toxicity, but two patients showed a state of severe toxicity. These patients respectively used glyphosate and paraquat. Conclusions: Our findings can be useful for suggesting the need for a national healthcare system to manage occupational pesticide poisoning among farmers. Further, these findings can be used to increase the awareness of the risk of acute poisoning during pesticide spraying and suggest the need for a safety health education to increase farmers' awareness of pesticide poisoning.