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GIS를 이용한 경기도 화남2지구의 지하수오염 예측에 관한 연구 (A STUDY ON THE PREDICTION OF GROUNDWATER CONTAMINATION USING THE GIS IN HWANAM 2 SECTOR, GYEONGGI PROVINCE, KOREA)

  • 손호웅
    • 지구물리
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    • 제4권4호
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    • pp.267-285
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    • 2001
  • 본 연구는 DRASTIC 모델에 구조선밀도, 토지이용 인자를 추가한 수정 DRASTIC 모델을 개발하여 경기도 화남2지구의 지하수오염 가능성를 예측하고자 하였다. 우리나라의 수리지질 환경에서 대수층은 대부분 암반 대수층인 점을 고려했을 때, 구조선밀도는 지하수 및 오염물질 유동에 직접적인 영향을 미치고, 토지이용은 점오염원 혹은 비점오염원의 영향을 간접적으로 반영할 수 있기 때문이다. 통계분석을 위하여 각 인자별 격자 레이어를 생성하고, 각각의 상관계수를 분석함으로써 신뢰도 여부를 판단하였다. 최종 결과물인 종합오염현황도는 수정 DRASRIC Potential과 여러 가지 오염원의 발생 부하량 값을 논리비교함으로써 수리지질학적인 측면에서의 오염가능성 지역과 수질측면에서의 오염가능성 지역을 예측할 수있는 방안을 제시할 수 있었다.

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풍력 발전기의 Rotor-Blades 회전체 시스템 공력 해석 (Analysis of Flows around the Rotor-Blades as Rotating Body System of Wind Turbine)

  • 김동진;곽승현;이경호
    • 한국해양공학회지
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    • 제23권5호
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    • pp.25-31
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    • 2009
  • The most important component of wind turbine is rotor blades. The developing method of wind turbine was focused on design of rotor blade. By the way, the design of a rotating body is more decisive process in order to adjust the performance of wind turbine. For instance, the design allows the designer to specify the wind characteristics derived by topographical map. The iterative solver is then used to adjust one of the selected inputs so that the desired rotating performance which is directly related to power generating capacity and efficiency is achieved. Furthermore, in order to save the money for manufacturing the rotor blades and to decrease the maintenance fee of wind power generation plant, while decelerating the cut-in speed of rotor. Therefore, the design and manufacturing of rotating body is understood as a substantial technology of wind power generation plant development. The aiming of this study is building-up the profitable approach to designing of rotating body as a system for the wind power generation plant. The process was conducted in two steps. Firstly, general designing and it’s serial testing of rotating body for voltage measurement. Secondly, the serial test results above were examined with the CFD code. Then, the analysis is made on the basis of amount of electricity generated by rotor-blades and of cut-in speed of generator.

한국산 진범 종집단의 서식상황: GIS를 이용한 분석과 검증 (Distribution of Subgenus Lycoctonum in Korea: Analysis and Verification by GIS)

  • 이수랑;정종철;박종욱
    • Spatial Information Research
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    • 제15권2호
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    • pp.135-146
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    • 2007
  • 국내에 분포하는 진범아속의 식물종 개체군을 대상으로 GIS분석을 통해 서식환경을 분석 검증함으로써 이를 통해 환경변화에 취약한 고산식물종의 보전과 관리를 위한 새로운 방안을 모색하고자 본 연구를 수행하였다. 표본조사와 문헌조사를 바탕으로 작성된 진범아속의 분포도를 중심으로 현장조사에서 정확한 분포좌표와 서식환경 등의 지리적 및 생물학적 인자를 조사하여 이를 바탕으로 수치지형도를 이용하여 서식지 모형을 만들어냈다. 진범아속의 식물개체군은 해발고도 $470{\sim}1320m$ 구간이며 북향의 $15.5{\sim}36^{\circ}$ 사이의 경사지역으로 수계에서 가까운 활엽수림에 주로 분포하였다. 이를 바탕으로 GIS 프로그램을 사용하여 서울인근의 양수와 목동 두 개의 도엽에서 고도 향 경사 등의 요소의 중첩과 수계와의 거리, 토지피복분류에 따른 주변 식생 등을 조합하여 적합서식지를 확인하였고 현장 검증에서 이 적합서식지에 실제 진범아속 식물의 분포를 검증하였다. 이를 통하여 보전을 요하는 식물군의 미확인 서식지의 추측이나 대체서식지의 선정과정에 있어 GIS가 획기적으로 사용될 수 있음을 확인하였다.

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경북 불영계곡 소나무(Pinus densiflora)임(林)의 재생(再生) 과정(科程)에 관한 연구(硏究) (Regeneration Process of the Pine(Pinus densiflora) Forest in Bulying-Gyegog, Kyungsangbuk-Do, Korea)

  • 김성덕;송호경
    • 한국산림과학회지
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    • 제84권2호
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    • pp.258-265
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    • 1995
  • 본(本) 연구(硏究)는 경상북도(慶尙北道) 울진군(蔚珍群) 불영계곡 일대(一帶)에서 토지극상(土地極相)을 형성(形成)하고 있는 소나무림(林)을 대상(對象)으로 임분(林分)의 재생(再生) 과정(過程)을 밝히고자 하였다. 소나무 임분(林分)은 수고(樹高)가 12-5m 정도(程度)이며, 상층목(上層木)은 개체(個體)가 중심(中心)이 되어 임의적으로 분포(分布)하고 있으며, 하층목(下層木)은 집중반(集中斑)으로 분포(分布)하고 있다. 상층목(上層木)은 주로 60-80년(年) 정도(程度)의 정점을 갖는 단봉형(單峰型)의 분포(分布)를 나타내고 있으며, 이들 임분(分布)의 수평적(水平的) 분포(分布)는 대체로 동령적(同齡的) 집단(集團)을 보여주고 있다. 상층목(上層木)의 초기(初期) 25년(年) 동안의 비대생장(肥大生長) 속도(速度)는 중(中) 하층목(下層木) 보다 빠르다. 소나무림(林)의 재생(再生) 과정(過程)은 임내(林內)에 gap이 형성(形成)된 이후(以後)에 집중적(集中的)으로 발생(發生)한 후생(後生)한 추수(推樹)가 성장(成長)하여 그 중(中)의 몇 개체(個體)가 임관(林冠)을 형성(形成)하는 것으로 추정(推定)된다.

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Accelerated Monte Carlo analysis of flow-based system reliability through artificial neural network-based surrogate models

  • Yoon, Sungsik;Lee, Young-Joo;Jung, Hyung-Jo
    • Smart Structures and Systems
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    • 제26권2호
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    • pp.175-184
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    • 2020
  • Conventional Monte Carlo simulation-based methods for seismic risk assessment of water networks often require excessive computational time costs due to the hydraulic analysis. In this study, an Artificial Neural Network-based surrogate model was proposed to efficiently evaluate the flow-based system reliability of water distribution networks. The surrogate model was constructed with appropriate training parameters through trial-and-error procedures. Furthermore, a deep neural network with hidden layers and neurons was composed for the high-dimensional network. For network training, the input of the neural network was defined as the damage states of the k-dimensional network facilities, and the output was defined as the network system performance. To generate training data, random sampling was performed between earthquake magnitudes of 5.0 and 7.5, and hydraulic analyses were conducted to evaluate network performance. For a hydraulic simulation, EPANET-based MATLAB code was developed, and a pressure-driven analysis approach was adopted to represent an unsteady-state network. To demonstrate the constructed surrogate model, the actual water distribution network of A-city, South Korea, was adopted, and the network map was reconstructed from the geographic information system data. The surrogate model was able to predict network performance within a 3% relative error at trained epicenters in drastically reduced time. In addition, the accuracy of the surrogate model was estimated to within 3% relative error (5% for network performance lower than 0.2) at different epicenters to verify the robustness of the epicenter location. Therefore, it is concluded that ANN-based surrogate model can be utilized as an alternative model for efficient seismic risk assessment to within 5% of relative error.

Network Analyses of Gene Expression following Fascin Knockdown in Esophageal Squamous Cell Carcinoma Cells

  • Du, Ze-Peng;Wu, Bing-Li;Xie, Jian-Jun;Lin, Xuan-Hao;Qiu, Xiao-Yang;Zhan, Xiao-Fen;Wang, Shao-Hong;Shen, Jin-Hui;Li, En-Min;Xu, Li-Yan
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권13호
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    • pp.5445-5451
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    • 2015
  • Fascin-1 (FSCN1) is an actin-bundling protein that induces cell membrane protrusions, increases cell motility, and is overexpressed in various human epithelial cancers, including esophageal squamous cell carcinoma (ESCC). We analyzed various protein-protein interactions (PPI) of differentially-expressed genes (DEGs), in fascin knockdown ESCC cells, to explore the role of fascin overexpression. The node-degree distributions indicated these PPI sub-networks to be characterized as scale-free. Subcellular localization analysis revealed DEGs to interact with other proteins directly or indirectly, distributed in multiple layers of extracellular membrane-cytoskeleton/ cytoplasm-nucleus. The functional annotation map revealed hundreds of significant gene ontology (GO) terms, especially those associated with cytoskeleton organization of FSCN1. The Random Walk with Restart algorithm was applied to identify the prioritizations of these DEGs when considering their relationship with FSCN1. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile following fascin knockdown to future examine the roles and mechanisms of fascin action.

임베디드 보드에서 실시간 의미론적 분할을 위한 심층 신경망 구조 (A Deep Neural Network Architecture for Real-Time Semantic Segmentation on Embedded Board)

  • 이준엽;이영완
    • 정보과학회 논문지
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    • 제45권1호
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    • pp.94-98
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    • 2018
  • 본 논문은 자율주행을 위한 실시간 의미론적 분할 방법으로 최적화된 심층 신경망 구조인 Wide Inception ResNet (WIR Net)을 제안한다. 신경망 구조는 Residual connection과 Inception module을 적용하여 특징을 추출하는 인코더와 Transposed convolution과 낮은 층의 특징 맵을 사용하여 해상도를 높이는 디코더로 구성하였고 ELU 활성화 함수를 적용함으로써 성능을 올렸다. 또한 신경망의 전체 층수를 줄이고 필터 수를 늘리는 방법을 통해 성능을 최적화하였다. 성능평가는 NVIDIA Geforce gtx 1080과 TX1 보드를 사용하여 주행환경의 Cityscapes 데이터에 대해 클래스와 카테고리별 IoU를 평가하였다. 실험 결과를 통해 클래스 IoU 53.4, 카테고리 IoU 81.8의 정확도와 TX1 보드에서 $640{\times}360$, $720{\times}480$ 해상도 영상처리에 17.8fps, 13.0fps의 실행속도를 보여주는 것을 확인하였다.

Analysis of MAPK Signaling Pathway Genes in the Intestinal Mucosal Layer of Necrotic Eenteritis-Afflicted Two Inbred Chicken Lines

  • Truong, Anh Duc;Hong, Yeojin;Lee, Janggeun;Lee, Kyungbaek;Lillehoj, Hyun S.;Hong, Yeong Ho
    • 한국가금학회지
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    • 제44권3호
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    • pp.199-209
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    • 2017
  • Mitogen-activated protein kinase (MAPK) signaling pathways play a key role in innate immunity, inflammation, cell proliferation, cell differentiation, and cell death. The main objective of this study was to investigate the expression level of candidate MAPK pathway genes in the intestinal mucosal layer of two genetically disparate chicken lines (Marek's disease-resistant line 6.3 and Marek's disease-susceptible line 7.2) induced with necrotic enteritis (NE). Using high-throughput RNA sequencing, we investigated 178 MAPK signaling pathway related genes that were significantly and differentially expressed between the intestinal mucosal layers of the NE-afflicted and control chickens. In total, 15 MAPK pathway genes were further measured by quantitative real-time PCR(qRT-PCR) and the results were consistent with the RNA-sequencing data. All 178 identified genes were annotated through Gene Ontology and mapped onto the KEGG chicken MAPK signaling pathway. Several key genes of the MAPK pathway, ERK1/2, JNK1-3, p38 MAPK, MAP2K1-4, $NF-{\kappa}B1/2$, c-Fos, AP-1, Jun-D, and Jun, were differentially expressed in the two chicken lines. Therefore, we believe that RNA sequencing and qRT-PCR analysis provide resourceful information for future studies on MAPK signaling of genetically disparate chicken lines in response to pathogens.

식장산 산림식생유형과 세천계곡부의 식생구조 (Vegetation Structure of Secheon Valley Area and Forest Vegetation Types in Mt. Sikjang)

  • 황선미;윤충원
    • 환경생물
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    • 제25권3호
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    • pp.249-259
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    • 2007
  • 식장산의 현존식생과 입지환경을 고려한 식생조사구 총 114개소를 설치하여 식생구조를 분석한 결과 산지림유형, 계곡림유형, 인공림유형의 3개 유형으로 분류되었고, 총 23개의 군락으로 구분되었다. 식생 분포는 사면상부와 능선부에 신갈나무군락이, 남사면에는 소나무군락과 굴참나무군락이 각각 분포하였으며, 신갈나무군락의 점유 면적이 34,213ha로 전체 면적의 31.9%로 가장 넓은 영역을 차지하고 있었고 계곡림은 좁은 면적에 매우 많은 군락들로 구성되어 있었다. 계곡림 유형에서는 졸참나무, 갈참나무, 물푸레나무, 고로쇠나무, 까치박달, 산딸나무 등의 수종들의 층위별 중요치가 높았다. 종다양도는 인공림유형의 물오리나무군락이 0.2191로서 가장 낮았고, 계곡림 유형의 종다양도지수가 약 0.9로서 가장 높았다.

Virtual Network Embedding through Security Risk Awareness and Optimization

  • Gong, Shuiqing;Chen, Jing;Huang, Conghui;Zhu, Qingchao;Zhao, Siyi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권7호
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    • pp.2892-2913
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    • 2016
  • Network virtualization promises to play a dominant role in shaping the future Internet by overcoming the Internet ossification problem. However, due to the injecting of additional virtualization layers into the network architecture, several new security risks are introduced by the network virtualization. Although traditional protection mechanisms can help in virtualized environment, they are not guaranteed to be successful and may incur high security overheads. By performing the virtual network (VN) embedding in a security-aware way, the risks exposed to both the virtual and substrate networks can be minimized, and the additional techniques adopted to enhance the security of the networks can be reduced. Unfortunately, existing embedding algorithms largely ignore the widespread security risks, making their applicability in a realistic environment rather doubtful. In this paper, we attempt to address the security risks by integrating the security factors into the VN embedding. We first abstract the security requirements and the protection mechanisms as numerical concept of security demands and security levels, and the corresponding security constraints are introduced into the VN embedding. Based on the abstraction, we develop three security-risky modes to model various levels of risky conditions in the virtualized environment, aiming at enabling a more flexible VN embedding. Then, we present a mixed integer linear programming formulation for the VN embedding problem in different security-risky modes. Moreover, we design three heuristic embedding algorithms to solve this problem, which are all based on the same proposed node-ranking approach to quantify the embedding potential of each substrate node and adopt the k-shortest path algorithm to map virtual links. Simulation results demonstrate the effectiveness and efficiency of our algorithms.