• 제목/요약/키워드: Network analysis method

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LANDSLIDE SUSCEPTIBILITY ANALYSIS USING GIS AND ARTIFICIAL NEURAL NETWORK

  • Lee, Moung-Jin;Won, Joong-Sun;Lee, Saro
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.256-272
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    • 2002
  • The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural network and to apply the newly developed techniques to the study area of Boun in Korea. Landslide locations were identified in the study area from interpretation of aerial photographs, field survey data, and a spatial database of the topography, soil type, timber cover, geology and land use. The landslide-related factors (slope, aspect, curvature, topographic type, soil texture, soil material, soil drainage, soil effective thickness, timber type, timber age, and timber diameter, timber density, geology and land use) were extracted from the spatial database. Using those factors, landslide susceptibility was analyzed by artificial neural network methods. For this, the weights of each factor were determinated in 3 cases by the backpropagation method, which is a type of artificial neural network method. Then the landslide susceptibility indexes were calculated and the susceptibility maps were made with a GIS program. The results of the landslide susceptibility maps were verified and compared using landslide location data. A GIS was used to efficiently analyze the vast amount of data, and an artificial neural network was turned out be an effective tool to maintain precision and accuracy.

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구조물 안전진단을 위한 C.R.P 기법의 응용에 관한 연구 (A Study on the Application of C.R.P. Method for Safety Diagnosis of Structures)

  • 신봉호;한성희;윤철규;엄재구
    • 한국측량학회지
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    • 제11권1호
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    • pp.47-54
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    • 1993
  • 최근 구조물의 붕괴사고가 빈번히 발생하고 있어 이에 대한 안전대책 마련이 요구되고 있다. 본 연구에서는 C.R.P(Close-Range Photogrammetry)를 이용하여 구조물 전면에 대한 변형측량을 주기적으로 실시하고 측지학적 network과 연결하여 절대변위량 도출을 꾀하였다. 또한 동시에 inclinometer 계측도 실시하여 이와의 상관관계도 아울러 분석하였다. 연구 결과 구조물의 시통 가능한 일부분에 기준점을 배치하여 기준점측량의 난제를 해결할 수 있었다. 또한 reference network과 control network을 연결하여 절대변형량 해석을 위한 좌표전환 parameter를 도출하므로써 지반 거동해석의 가능성을 제시할 수 있고 종래의 국부적인 계측으로 인한 비효율성을 보완할 수 있었다.

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Research on the Characteristics of Chinese Tourists Flow to Thailand: Application of the Social Network Analysis (SNA) Method

  • WANG, Xiao-Chuan;WANG, Chun-Yan;KIM, Hyung-Ho
    • The Journal of Asian Finance, Economics and Business
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    • 제8권11호
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    • pp.243-251
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    • 2021
  • The goal of this study is to examine the characteristics of Chinese visitors visiting Thailand, determine the rules, and give a reference for Thai tourism authorities and businesses when developing marketing strategies for the Chinese market. This paper constructs the tourism flow network and takes Bangkok as the major research target. The statistical characteristics of the network are studied using the SNA method, based on the trip notes of Thailand on www.mafengwo.cn, a prominent travel website in China as the data source. The results show that: Shanghai, Beijing, and Tianjin occupy important positions in the network; The flow direction of Chinese tourists to Thailand mainly tends to Bangkok, Chiang Mai, Pattaya, and Phuket Island; Grand Palace have strong tourism flow aggregation, diffusion, and control over other nodes in the whole network structure; Tom Yu Kuang has the greatest degree centrality in all Thai cuisine. The findings of the study can help relevant management departments create tourist policies and modify market strategies by developing the regular characteristics of China's tourism flow to Thailand in the theoretical field.

정지궤도위성 광학탑재체 복사 열제어 시스템 개념 설계 (A CONCEPTUAL DESIGN OF RADIATIVE THERMAL CONTROL SYSTEM IN A GEOSTATIONARY SATELLITE OPTICAL PAYLOAD)

  • 김정훈;전형열
    • 한국전산유체공학회지
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    • 제12권3호
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    • pp.62-68
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    • 2007
  • A conceptual thermal design is performed for the optical payload system of a geostationary satellite. The optical payload considered in this paper is GOCI(Geostationary Ocean Color Imager) of COMS of Korea. The radiative thermal control system is employed in order to expect a small thermal gradient in the telescope structure of GOCl. Two design margins are applied to the dedicated radiator dimensioning, and three kinds of configuration to the heater power sizing. A Monte-Carlo ray tracing method and a network analysis method are utilized to calculate radiative couplings and thermal responses respectively. At the level of conceptual design, sizing thresholds are presented for the radiator and heater on the purpose of determining the mass and power budget of the spacecraft.

스파이럴 이동자 코어를 가지는 영구자석여자 횡자속 선형전동기의 등가자기회로망법을 이용한 특성해석 (Characteristic Analysis using Equivalent Magnetic Circuit Network Method for Permanent Magnet Excited Transverse Flux Linear Motor with Spiral Core in a Mover)

  • 이지영;김지원;우병철;강도현;호앙트룽키엔;김광운
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.794_795
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    • 2009
  • This paper presents an analysis method for a permanent magnet excited Transverse Flux Linear Motor (TFLM) with spiral core in a mover. The spiral core is used as mover core in order to make 3-dimensional magnetic flux path at the TFLM which has 3-dimensional magnetic flux flow. Magnetic field is analyzed by three-dimensional Equivalent Magnetic Circuit Network (EMCN) method. And an imaginary part, 'flux barrier,' is introduced to consider the spiral core characteristic. The computed thrust forces is compared to the measured results to show the effect of presented analysis method.

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대규모 시스템의 모사와 관리를 위한 PERT네트워크 완료일자 추정기법에 관한 고찰 (An Investigation of Project Completion Time Estimation Method in PERT Network for Planning and Management in Large-Scale Systems)

  • 이제명;이호재;박미정;이정재
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2005년도 학술발표논문집
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    • pp.695-699
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    • 2005
  • Propriety of PERT network for planning and management in large-scale systems was investigated. We also review the example of small and middle size system to compare the appropriateness of PERT analysis method. For comparing the appropriateness of PERT analysis method the calculation time, and the variances were estimated. Eventualy, we proposed the criteria of PERT analysis method for planning and management large-scale systems.

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Study on Design Research using Semantic Network Analysis

  • Chung, Jaehee;Nah, Ken;Kim, Sungbum
    • 대한인간공학회지
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    • 제34권6호
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    • pp.563-581
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    • 2015
  • Objective: This study was conducted to investigate the potential of sematic network analysis for design research. Background: As HCD (Human-Centered Design) was emphasized, lots of design research methodologies were developed and used in order to find user needs. However, it is still difficult to discover users' latent needs. This study suggests the semantic network analysis as a complementary means for design research, and proved its potential through the practical application, which compares multi-screen purchase and usage behaviors between America and China. Method: We conducted an in-depth interview with 32 consumers from USA and China, and analyzed interview texts through semantic network analysis. Cross cultural differences in purchase and usage behaviors were investigated, based on measuring centrality and community modularity of devices, functions, key buying factors and brands. Results: Americans use more services and functions in the multi-screen environment, compared to Chinese. As a device substitutes other devices, traditional boundaries of the devices are disappearing in the USA. Americans consider function to recall Apple, but Chinese consider function, design and brand to recall Apple, Sony and Samsung as an important brand at the time of their purchase. Conclusion: This study shows the potential of semantic network analysis for design research through the practical application. Semantic network analysis presents how the concepts regarding a theme are structured in the cognitive map of users with visual images and quantitative data. Therefore, it can complement the qualitative analysis of the existing design research. Application: As the design environment becomes more and more complicated like multi-screen environment, semantic network analysis, which is able to provide design insights in the intuitive and holistic perspective, will be acknowledged as an effective tool for further design research.

HAZOP 분석 자동화를 위한 객체지향 모델링 (Object-Oriented Modelling for Automated HAZOP Analysis)

  • 이진명;허보경;황규석
    • 한국안전학회지
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    • 제13권1호
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    • pp.77-84
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    • 1998
  • Hazard and operability (HAZOP) analysis is one of the safety analysis method that is used in the chemical complex, because it can systematically identify causes and consequences of all the deviation that could occur. Since this method needs to hire specialized experts, it is costly and time-consuming. Therefore HAZOP Expert System has been developed to automate this analysis. This approach introduced object-oriented method and knowledge representation which is hierarchical tree of units to supply flexibility in the system, functional semantic network, propagation equation and rule-chaining method to set up the expert system for automating HAZOP analysis.

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사회-공간 네트워크 분석을 활용한 초등학교 공간계획방향에 관한 연구 (A Study on Improvement of the School Space through Socio-Spatial Network Analysis)

  • 전영훈;김윤영
    • 대한건축학회논문집:계획계
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    • 제35권5호
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    • pp.21-30
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    • 2019
  • The purpose of this study is to present the direction of the new space plan by reflecting the opinions of the user (student) in the existing standardized elementary school space planning. The purpose of this study is to investigate the activities of elementary school students by using socio - spatial network analysis method and to propose the direction of new elementary school space planning through the results. We analyzed the results of each centrality by using the analysis of closeness analysis, betweeness analysis, girvan-newman clustering, and concor analysis. The results of this study are as follows. First, it should be planned to use the classroom and the special room as one area by utilizing the corridor. Second, it should be planned that the outdoor space and the indoor space are closely related to each other by utilizing the hall, the lobby and the classroom. Third, the school should create a small space where physical activity is possible in an indoor space of the school. In order to improve the standardized elementary school space, this study proposes a method to reflect the opinions of the users in the school planning stage.

Sentiment Analysis on Indonesia Economic Growth using Deep Learning Neural Network Method

  • KRISMAWATI, Dewi;MARIEL, Wahyu Calvin Frans;ARSYI, Farhan Anshari;PRAMANA, Setia
    • 산경연구논집
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    • 제13권6호
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    • pp.9-18
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    • 2022
  • Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.