• 제목/요약/키워드: Artificial contamination

검색결과 127건 처리시간 0.025초

이미지 인식 기반의 컵 오염 여부 측정 시스템의 설계 및 구현 (Design and Implementation of Dangerous of Image Recognition based Cup Contamination Measurement System)

  • 이태준;채희석;이상원;김재민;정회경
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 추계학술대회
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    • pp.213-215
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    • 2022
  • 최근 이미지를 처리하는 딥러닝 기술이 화재 감지나 자율주행, 불량품 검출 등에서 다양하게 활용되고 있다. 특히, 제품이 오염되었는지 아닌지를 파악하기 위해 기존 센서 데이터에서 넘어온 오염물질을 통해 파악할 수 있지만, 제품의 균열이나 오염물질 자체를 이미지로 인식하는 기술도 다양한 분야에서 활발히 연구되고 있다. 본 논문에서는 오염되지 않은 정상적인 컵과 오염된 컵을 이미지를 통해 분류하는 시스템을 설계하고 이를 구현하였다. 이미지는 오픈 이미지와 촬영한 이미지를 사용하였고, 3D 객체 인식을 위한 Google Objectron을 활용해 컵 이미지의 상단 부분을 추출하여 이미지를 분석하였다. 본 연구를 통해 위생 분야에서 필요한 제품의 오염도를 이미지 기반으로 추출할 수 있는 연구에 다각도로 활용할 것으로 사료된다.

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배치 실험을 이용한 암모니아 제거 기작 및 효율 평가 (Evaluation of Ammonia Removal Mechanisms and Efficiencies Through Batch Experiments)

  • 장지은;강지영;김혜원;신규진;진성욱
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제27권6호
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    • pp.37-46
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    • 2022
  • As the amount of livestock wastewater increases, ammonia contamination in surface water and groundwater is also increasing, and its treatment is urgently needed. In this study, indigenous soil bacteria was utilized for ammonia removal in artificial wastewater and associated removal mechanisms and efficiencies were evaluated. Two batch reactors were configurated to contain natural soil and artificial wastewater at 1:10 mass ratio, and incubated for 84 and 168 hours, respectively. The results showed that ammonia was completely removed within 48 and 72 hours in the first and second reactors, respectively. There were no significant changes in ammonia concentrations in the control groups without soil. Nitrate was formed in the reactors, indicating that the main removal mechanism of ammonia was nitrification by nitrifying bacteria. Nitrate was further converted to nitrogen gas by denitrification in the anaerobic environment, which was caused by consumption of oxygen during the nitrification process.

Hydrochemical Characteristics and Nitrate-Nitrogen Contamination in Shallow Groundwater in Two Agricultural areas in Korea

  • Sul-Min Yun;Hang-Tak Jeon;Ji-Min Hwang;MoonSu Kim;HyunKoo Kim;Se-Yeong Hamm
    • 한국지구과학회지
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    • 제44권4호
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    • pp.291-306
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    • 2023
  • Shallow groundwater in rural areas is primarily polluted by agricultural activities. Nitrate-nitrogen is an indicator of artificial pollution. In this study, the hydrochemical characteristics and nitrate-nitrogen pollution of shallow groundwater were examined in two agricultural villages (Hyogyo-ri and Sinan-ri) in Chungcheongnam-do Province, Korea. Physicochemical quality analysis of shallow groundwater and stream water in the field, and chemical analysis in the laboratory were conducted from July 2020 to October 2021. In Hygyo-ri and Sinan-ri villages, shallow groundwater mainly belonged to the Ca-Cl, Ca-H CO3, Na-HCO3, and Na-Cl types, whereas stream water predominantly belonged to the Ca-HCO3 type. The nitrate-nitrogen concentration in shallow groundwater varied depending on the season, displaying an increased concentration of nitrate-nitrogen in the dry season compared to the rainy season. Stream water may be influenced by runoff into villages from the surrounding area, although both shallow groundwater and stream water are affected by artificial pollution. In addition, the nitrate-nitrogen concentration in stream water was lower than that in shallow groundwater.

Deep Learning for Weeds' Growth Point Detection based on U-Net

  • Arsa, Dewa Made Sri;Lee, Jonghoon;Won, Okjae;Kim, Hyongsuk
    • 스마트미디어저널
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    • 제11권7호
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    • pp.94-103
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    • 2022
  • Weeds bring disadvantages to crops since they can damage them, and a clean treatment with less pollution and contamination should be developed. Artificial intelligence gives new hope to agriculture to achieve smart farming. This study delivers an automated weeds growth point detection using deep learning. This study proposes a combination of semantic graphics for generating data annotation and U-Net with pre-trained deep learning as a backbone for locating the growth point of the weeds on the given field scene. The dataset was collected from an actual field. We measured the intersection over union, f1-score, precision, and recall to evaluate our method. Moreover, Mobilenet V2 was chosen as the backbone and compared with Resnet 34. The results showed that the proposed method was accurate enough to detect the growth point and handle the brightness variation. The best performance was achieved by Mobilenet V2 as a backbone with IoU 96.81%, precision 97.77%, recall 98.97%, and f1-score 97.30%.

Effect of Human or Mouse IL-7 on the Homeostasis of Porcine T Lymphocytes

  • Ji Hwa Hong;Sang Hoon Kim;Hyun Gyung Kim;Jun Ho Jang;Ryeo Gang Son;Seung Pil Pack;Young-Ho Park;Philyong Kang;Kang-Jin Jeong;Ji-Su Kim;Hanbyeul Choi;Sun-Uk Kim;Yong Woo Jung
    • IMMUNE NETWORK
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    • 제21권3호
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    • pp.24.1-24.13
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    • 2021
  • Due to the inconsistent fluctuation of blood supply for transfusion, much attention has been paid to the development of artificial blood using other animals. Although mini-pigs are candidate animals, contamination of mini-pig T cells in artificial blood may cause a major safety concern. Therefore, it is important to analyze the cross-reactivity of IL-7, the major survival factor for T lymphocytes, between human, mouse, and mini-pig. Thus, we compared the protein sequences of IL-7 and found that porcine IL-7 was evolutionarily different from human IL-7. We also observed that when porcine T cells were cultured with either human or mouse IL-7, these cells did not increase the survival or proliferation compared to negative controls. These results suggest that porcine T cells do not recognize human or mouse IL-7 as their survival factor.

Effects of mining activities on Nano-soil management using artificial intelligence models of ANN and ELM

  • Liu, Qi;Peng, Kang;Zeng, Jie;Marzouki, Riadh;Majdi, Ali;Jan, Amin;Salameh, Anas A.;Assilzadeh, Hamid
    • Advances in nano research
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    • 제12권6호
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    • pp.549-566
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    • 2022
  • Mining of ore minerals (sfalerite, cinnabar, and chalcopyrite) from the old mine has led in significant environmental effects as contamination of soils and plants and acidification of water. Also, nanoparticles (NP) have obtained global importance because of their widespread usage in daily life, unique properties, and rapid development in the field of nanotechnology. Regarding their usage in various fields, it is suggested that soil is the final environmental sink for NPs. Nanoparticles with excessive reactivity and deliverability may be carried out as amendments to enhance soil quality, mitigate soil contaminations, make certain secure land-software of the traditional change substances and enhance soil erosion control. Meanwhile, there's no record on the usage of Nano superior substances for mine soil reclamation. In this study, five soil specimens have been tested at 4 sites inside the region of mine (<100 m) to study zeolites, and iron sulfide nanoparticles. Also, through using Artificial Neural Network (ANN) and Extreme Learning Machine (ELM), this study has tried to appropriately estimate the mechanical properties of soil under the effect of these Nano particles. Considering the RMSE and R2 values, Zeolite Nano materials could enhance the mine soil fine through increasing the clay-silt fractions, increasing the water holding capacity, removing toxins and improving nutrient levels. Also, adding iron sulfide minerals to the soils would possibly exacerbate the soil acidity problems at a mining site.

지하수의 질산염 오염 특성 - 옥천지역 사례 연구 - (Characteristics of Nitrate Contamination of Groundwater - Case Study of Ogcheon Area -)

  • 박호림;김명균;홍상표
    • 환경영향평가
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    • 제24권1호
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    • pp.87-98
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    • 2015
  • 본 연구에서는 충청북도 옥천군 일부지역에 분포된 지하수를 대상으로 지구화학적 특성, 수질 특성, $NO_3{^-}$에 의한 오염 특성과 그에 따른 $NO_3{^-}$의 기원을 추정하고자 하였다. 연구지역 지하수는 약산 내지 약알칼리성의 환원환경이며, 변성퇴적암류를 구성하는 석회암과 백운암의 높은 용해도로 인해 변성퇴적암 지하수는 pH와 주요 용존 성분의 함량이 화강암 지하수 보다 높은 분포를 나타낸다. 파이퍼 다이어그램에 도시된 연구지역 지하수의 수질 유형은 대부분 $(Ca+Mg)+HCO_3$형이나, 요인 분석 결과 $NO_3{^-}$$Cl^-$이 요인 1의 구성 성분으로 추출되어 $(Ca+Mg)+(Cl+NO_3)$형도 상당수 분포한다. 이와 같은 결과는 연구지역이 $NO_3{^-}$$Cl^-$로 인한 오염이 우려되는 지역임을 시사하는 것으로 국내외 농촌지역 지하수 오염 특성과 동일한 결과를 나타낸다. 중금속 원소로 인한 오염의 양상은 나타나지 않고 있으며, 탄산염 광물의 지구화학적 풍화작용과 인위적 오염 성분 유입 등의 복합적인 작용이 연구지역 지하수의 지구화학적 특성과 수질 특성을 결정짓는 요인이다. 질소 동위원소 분석 결과에 의한 $NO_3{^-}$ 기원은 주로 농업 활동과 분뇨등이 지배적인 것으로 나타났다.

GIS 모델링을 이용한 국내 지질 기원 토양오염의 분포 현황과 공간적 개연성 연구 (Using GIS Modeling to Assess the Distribution and Spatial Probability of Soil Contamination of Geologic Origin in Korea)

  • 최재진;차경훈;정교철;김종태;박성철
    • 지질공학
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    • 제33권1호
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    • pp.39-49
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    • 2023
  • 국내에서 관리되고 있는 토양오염물질 중 지질 기원의 영향이 큰 물질로는 비소, 카드뮴, 구리, 납, 아연, 니켈, 수은, 불소 등이 있다. 본 연구에서는 국내 토양오염 조사 자료를 바탕으로 GIS 모델링을 통해 오염물질의 분포 현황을 파악하고 오염원과의 공간적 개연성을 확인하였다. 그 결과, 카드뮴, 구리, 납, 니켈, 수은의 경우 1% 미만의 낮은 기준초과 빈도를 나타내고 있다. 비소와 아연의 경우 각각 광산 영향범위와 산업단지 부지 내에서 높은 초과 빈도를 나타내며, 주변 오염인자에 의한 영향이 매우 높은 것으로 확인되었다. 그러나 불소의 경우 조사지점 수가 가장 적고, 기준초과 빈도가 가장 높음에도 불구하고 뚜렷한 인위적 오염원이 확인되지 않았고, 분포 특성 또한 광역적인 연속성을 보임에 따라 지질 분포와의 개연성이 매우 높을 것으로 추정된다. 불소 항목의 기준초과 지점에 대한 지질 분포 현황을 확인한 결과, 쥐라기 화강암(40.00%)과 선캄브리아기 호상편마암(34.12%)에서 집중적인 초과 빈도를 나타내고 있다. 이는 화강암과 편마암에 존재하는 높은 불소 함량이 암석의 풍화에 따른 토양의 생성 과정에서 토양의 구성 성분으로 존재함에 따라 이들 암석이 분포하는 지역의 토양 중 불소 농도가 높게 나타난 것으로 판단된다.

무동력 배수시스템을 활용한 도상월류 및 라돈저감방안 연구 (A Study on Drainage System of Non-motorized For Overtopping and Radon Reduction)

  • 고성기;국윤모;김만화;박종헌
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 춘계학술대회 논문집
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    • pp.208-213
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    • 2011
  • Seoul Metropolitan Rapid Transit Corporation has 148's stations. Total length is 152km and most of the station is located in the basement and Groundwater occur inflow of 700,000 tons per day. Groundwater is treated as a natural flow way instead of artificial ways. Therefore, most of the collection wells is located in the low place or station for the efficient induction and collecting water. Manhole overtopping is occurring frequently because groundwater is concentrated in the drain pipe near the collecting well and heavy rainfall in summer. As a result, ballast contamination and radon levels are increased in tunnel. This paper introduces a solution is increasing overflow in tunnel, which introduces drainage system of non-motorized that uses differencial head between collecting well and manhole.

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Distribution and Characteristics of PAHs in Bivalves from Gwangyang Bay, Korea

  • Yim, U.H.;Hong, S.H.;Shim, W.J.;Oh, J.R.
    • 환경생물
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    • 제22권
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    • pp.78-85
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    • 2004
  • Polyeyclic aromatic hydrocarbons (PAHs) were quantitatively determined in bivalves from Gwangyang Bay. Twenty-four kinds of target PAHs were detected in the entire samples. Total PAHs concentrations ranged 86.1∼1,210 ng g$\^$-1/ dry weight with a average concentration of 309 ng g$\^$-1/, which is much lower than those of other industrialized bays in Korea. Strong tidal currents and artificial interferences like reclamation and dredging activity were suggested as major reason for disparity between highly industrialization and low contamination status. There was no correlation between total PAHs and lipid contents, implying that lipid content is not the one major parameter for the accumulation of PAHs by bivalves. Input sources were inferred as petrogenic and pyrogenic PAHs. With help of PCA analysis, signals of seasonal variations, not only concentrations but also compositions were found.