• Title/Summary/Keyword: Spatial network analysis

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Development of flood inundation area GIS database for Samsung-1 drainage sector, Seoul, Korea (서울 삼성 1분구에 대한 침수면적 GIS 데이터베이스 구축)

  • Oh, Minkwan;Lee, Dongryul;Kwon, Hyunhan;Kim, Dongkyun
    • Journal of Korea Water Resources Association
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    • v.49 no.12
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    • pp.981-993
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    • 2016
  • This study explains the GIS database of flood inundation area developed for Samsung-1 Drainage Sector, Seoul, Korea. The XP-SWMM dual drainage model was developed for the study area, and the time series observed at the watershed outlet was used to obtain the watershed time of concentration and to calibrate the XP-SWMM model. The rainfall scenario was developed by dividing the 40 minute watershed time of concentration into two 20-minute time steps and then applying the gradually increasing 5 mm/hr interval rainfall intensity to each of the time step up to 200 mm/hr, which is the probable maximum precipitation of the study area. The developed rainfall scenarios was used as the input of the XP-SWMM model to obtain the database of the flood inundation area. The analysis on the developed GIS database revealed that: (1) For the same increment of the rainfall, the increase of the flooded area can be different, and this was caused by topographic characteristics and spatial formation of pipe network of the study area; (2) For the same flooded area, the spatial extent can be significantly different depending on the temporal distribution of rainfall; and (3) For the same amount of the design rainfall, the flood inundation area and the extent can be significantly different depending on the temporal distribution of rainfall.

Streamflow Estimation using Coupled Stochastic and Neural Networks Model in the Parallel Reservoir Groups (추계학적모형과 신경망모형을 연계한 병렬저수지군의 유입량산정)

  • Kim, Sung-Won
    • Journal of Korea Water Resources Association
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    • v.36 no.2
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    • pp.195-209
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    • 2003
  • Spatial-Stochastic Neural Networks Model(SSNNM) is used to estimate long-term streamflow in the parallel reservoir groups. SSNNM employs two kinds of backpropagation algorithms, based on LMBP and BFGS-QNBP separately. SSNNM has three layers, input, hidden, and output layer, in the structure and network configuration consists of 8-8-2 nodes one by one. Nodes in input layer are composed of streamflow, precipitation, pan evaporation, and temperature with the monthly average values collected from Andong and Imha reservoir. But some temporal differences apparently exist in their time series. For the SSNNM training procedure, the training sets in input layer are generated by the PARMA(1,1) stochastic model and they covers insufficient time series. Generated data series are used to train SSNNM and the model parameters, optimal connection weights and biases, are estimated during training procedure. They are applied to evaluate model validation using observed data sets. In this study, the new approaches give outstanding results by the comparison of statistical analysis and hydrographs in the model validation. SSNNM will help to manage and control water distribution and give basic data to develop long-term coupled operation system in parallel reservoir groups of the Upper Nakdong River.

Foreign Immigrants‘ Recognition on Macro-contexts of Transnational Migration (외국인 이주자의 거시적 이주 배경에 관한 인지)

  • Choi, Byung-Doo;Lee, Gyung-Ja
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.1
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    • pp.64-88
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    • 2010
  • Rapidly increasing transnational migration can be seen as a typical process which has proceeded under macro-contexts of socio-spatial characters of origin and destination country and their relationships, shaped with global uneven regional development in the process of glocalization and development of transportation and communication on the global level. In order to consider macro-contexts of transnational migration, this paper emphasizes the concept of multicultural space and some key elements implied in it, that is, place, territory, network, scale (suggested by Jessop et al.) and spatial flow and difference. As results of questionnaire analysis of foreign immigrants' recognition of macro-contexts, this paper suggests some findings: that is, a high level of recognition of all types of foreign immigrants on global changes, the most negative recognition of migrant workers among 4 types of foreign immigrants on economic and social conditions of their origin country, a positive recognition of people in all regions of their origin (except few countries such as Japan) on international migration, and a low level of their recognition in all types on S. Korea's characters as their destination country.

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Does sports intelligence, the ability to read the game, exist? A systematic review of the relationship between sports performance and cognitive functions (게임을 읽는 머리, 스포츠 지능이 존재하는가? 스포츠 수행과 관련된 인지기능에 관한 문헌고찰)

  • Yongtawee, Atcharat;Park, Jin-Han;Woo, Min-Jung
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.325-339
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    • 2021
  • The purpose of the study is to examine sports-related cognitive functions through a systematic review and to suggest effective instruments to measure the cognitive functions. The present study was conducted based on the systematic review and meta-analysis protocol-the PRISMA. Of 429 articles searched through keywords from 2008 to 2020, 45 articles that met the selection criteria were analyzed. It was revealed that athletes had better cognitive functions than non-athletes, that the higher the sports expertise was, the higher the cognitive functions, and that there were differences in cognitive functions according to the sport types. The primary cognitive functions related to sports performance summarized as executive functions (inhibition ability, cognitive flexibility), information processing speed, spatial ability, and attention. As tasks for measuring each cognitive function, a stop signal task for inhibition ability, a design flexibility task for cognitive flexibility, a simple and choice reaction time test for information processing, a mental rotation task for spatial ability, and an attention network test for attention are appropriate.

Development of a Stochastic Precipitation Generation Model for Generating Multi-site Daily Precipitation (다지점 일강수 모의를 위한 추계학적 강수모의모형의 구축)

  • Jeong, Dae-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5B
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    • pp.397-408
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    • 2009
  • In this study, a stochastic precipitation generation framework for simultaneous simulation of daily precipitation at multiple sites is presented. The precipitation occurrence at individual sites is generated using hybrid-order Markov chain model which allows higher-order dependence for dry sequences. The precipitation amounts are reproduced using Anscombe residuals and gamma distributions. Multisite spatial correlations in the precipitation occurrence and amount series are represented with spatially correlated random numbers. The proposed model is applied for a network of 17 locations in the middle of Korean peninsular. Evaluation statistics are reported by generating 50 realizations of the precipitation of length equal to the observed record. The analysis of results show that the model reproduces wet day number, wet and dry day spell, and mean and standard deviation of wet day amount fairly well. However, mean values of 50 realizations of generated precipitation series yield around 23% Root Mean Square Errors (RMSE) of the average value of observed maximum numbers of consecutive wet and dry days and 17% RMSE of the average value of observed annual maximum precipitations for return periods of 100 and 200 years. The provided model also reproduces spatial correlations in observed precipitation occurrence and amount series accurately.

Analyzing Perceptions of Unused Facilities in Rural Areas Using Big Data Techniques - Focusing on the Utilization of Closed Schools as a Youth Start-up Space - (빅데이터 분석 기법을 활용한 농촌지역 유휴공간 인식 분석 - 청년창업 공간으로써 폐교 활용성을 중심으로 -)

  • Jee Yoon Do;Suyeon Kim
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.556-576
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    • 2023
  • This study attempted to find a way to utilize idle spaces in rural areas as a way to respond to rural extinction. Based on the keywords "startup," "youth start-up," and "youth start-up+rural," start-up+rural," the study sought to identify the perception of idle facilities in rural areas through the keywords "Idle facilities" and "closed schools." The study presented basic data for policy direction and plan search by reviewing frequency analysis, major keyword analysis, network analysis, emotional analysis, and domestic and foreign cases. As a result of the analysis, first, it was found that idle facilities and school closures are acting importantly as factors for regional regeneration. Second, in the case of youth startups in rural areas, it was found that not only education on agriculture but also problems for residence should be solved together. Third, in the case of young people, it was confirmed that it was necessary to establish digital utilization for agriculture by actively starting a business using digital. Finally, in order to attract young people and revitalize the region through best practices at home and abroad, policy measures that can serve as various platforms such as culture and education as well as startups should be presented in connection with local residents. These results are significant in that they presented implications for youth start-ups in rural areas by reviewing start-up recognition for the influx of young people as one of the alternatives for the use of idle facilities and regional regeneration, and if additional solutions are presented through field surveys, they can be used to set policy goals that fit the reality.

A Numerical Study of Sandwich Injection Mold Filling Process (샌드위치 사출성형의 충전 공정 해석에 대한 수치모사 연구)

  • 송효준;이승종
    • The Korean Journal of Rheology
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    • v.11 no.2
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    • pp.159-167
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    • 1999
  • Sandwich injection molding is one of the remarkable polymer processes recently developed from conventional injection molding. But it is almost impossible to do theoretical investigation that we've researched it through numerical simulation. In this paper, numerical simulation on the study of sandwich injection molding is based on Finite Element Method and FAN/Control Volume method. In addition to conventional filling parameter that can confirm skin polymer melt front, new filling parameters have been introduced to confirm core polymer melt front advancement. These filling parameters are defined in each layer which is divided to solve temperature field along the thickness direction. One can notice different filling patterns resulted from the variation of material properties such as viscosities and power-law indexes, and processing conditions such as switch-over times and wall temperatures. It gives us a better understanding of the sandwich injection molding process. And we can recognize that it's the core polymer spatial distribution after the completion of filling that is the most important key point to use this process for industrial molding process.

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A Study on the Development Plan of Situation-Aware Service Based on the Characteristics Analysis of Smartphone (스마트폰의 현황 분석을 통한 상황인식서비스의 발전방향 제시)

  • Lee, Hyun-Jik;Koo, Dae-Sung;Park, Chan-Ho;Lee, Jung-Bin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.3
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    • pp.303-309
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    • 2011
  • Situation awareness services which increasingly expand their influence in everyday life can be classified into location-based service and social network service. Their quality of service (QoS) can be differed based on the location accuracy of smart phones and accuracy of directional recognition technology. This study was conducted to analyze GPS, digital compass, radio communication, and geospatial web information which can provide a clue in using the situation aware services based on lab experiments and surveys. According to the result of lab experiment on accuracy of determining location / direction with smart phones, owing to inherent lack of indoor accuracy in determining position and direction, as well as errors in spatial data used as platform, it was found that devices were not provided with sufficiently accurate data when using the situation aware services indoors compared to outdoors. To enhance accuracy of determining indoor positions, there are several methods including location metering based on Wi-Fi, which had several problems compared with GPS used in outdoor environment. Thus, it was determined that more study would be necessary to solve these issues.

Verification of Water Environment Network Representative at the Baekcheon Junction of the Nakdong River (낙동강 백천 합류부 지점의 물환경측정망 대표성 검증)

  • Ahn, Jung Min;Im, Teo Hyo;Kim, Sung Min;Kim, Shin;Kim, Gyeong Hoon;Kwon, Heon Gak;Shin, Dongseok;Yang, Deuk Seok
    • Journal of Environmental Science International
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    • v.27 no.6
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    • pp.371-381
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    • 2018
  • Multifunctional weirs constructed through the Four Major Rivers Restoration Project are operated as management water levels. The purpose of this study was to evaluate the effect of water level in the main stem on the tributary water level according to multifunctional weir operation, because the operation of multifunctional weirs for water level management influences the drainage of tributaries. In this study, water level pressure gauges were installed and spatial and temporal water quality was observed. The LOcally Weighted Scatterplot Smoothing (LOWESS) technique was applied to the Nakdong River and the Baekcheon Junction, both upstream of the Gangjeong-Goryeong weir, in order to analyze water quality trends. When considering the overall analysis and observations, it was found that the water quality forecasting point located at the Baekcheon estuary point should be transferred to the Dosung Bridge, which is located upstream of the Sunwon Bridge.

A Study on Spatial Application of Digital Modulation Patterns - Focusing on generating digital patterns - (디지털 패턴의 생성과 공간적용방법 연구 - 디지털패턴의 생성을 중심으로 -)

  • Park, Jeong-Joo
    • Korean Institute of Interior Design Journal
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    • v.19 no.6
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    • pp.100-111
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    • 2010
  • 'Pattern' is the term that is frequently used in the aspects of history, society, and science. It always appears in the remains or relics of the age of civilization when recording was started, and its evaluation and value differ by time. Patterns in the ancient civilization were symbolic, social, and spatially crucial. However, after the modernization, they were considered to be immoral and unnecessary, so the range of their significance came to reduce. Due to the development of science, ornament patterns lost the limitation of its range of use along with new interpretation of them. Especially with the advent of new scientific theories such as the evolution theory from the biological aspect, quantum mechanics, and super string theory, morphological possibilities more than the human scale perceived by men came to be discovered. Living organisms maintain their lives through patterns, structures, and processes in order to produce a system alive. Among them, patterns are the organization of relations determining the characteristics of the system. The present patterns may correspond to this meaning. The pattern in a space is the matter of how to relate the components after all. In a space, however, there are numerous components mingled with one another. If these tasks are conducted as analogue work, it will take a lot of time and effort. However, if digital media are utilized to perform the tasks like analysis, generation, or fabrication, it will produce a result with higher precision and efficiency. In this sense, parametric modeling is quite useful media. Opening morphological variation, it realizes more possibilities, connects conveniently the relations between complex components composing a space, and helps produce creative patterns.