• Title/Summary/Keyword: 중력망

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Analysis of Japan's CPTPP Trade Effect Using Gravity Model (중력모형을 이용한 일본의 CPTPP 교역 효과 분석)

  • Jongin Kim;Seong-Hyuk Hwang
    • Journal of Industrial Convergence
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    • v.21 no.5
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    • pp.43-50
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    • 2023
  • The South Korean government announced its plan to pursue membership in the CPTPP in 2022, aiming to establish a stable supply chain within the Asia-Pacific region. The CPTPP, led by Japan, was ratified in 2018 by 11 countries with the goal of eliminating tariffs and establishing new trade rules. According to our analysis, since the implementation of the CPTPP, there has been a trade promotion effect among Japan and member countries, with greater effects observed in countries with higher GDP per capita and closer geographical distance. As long as tariff elimination and reduction proceed as planned, the trade promotion effects are expected to expand gradually. However, the expansion of trade between Japan and CPTPP member countries may also indicate a relative contraction in trade with non-member countries, potentially posing a threat to the stable supply chain in the Korean industry within the Asia-Pacific region. As Japan is Korea's fourth-largest trading partner, it is necessary to carefully consider the impact of CPTPP on Japan's future trade with member countries and engage in discussions regarding Korea's participation and negotiation content based on a thorough examination of the matter.

The Estimation of the Uplift Pressure and Seepage Discharge under Gravity Dam: Development of a 3-D FDM Model in Heterogeneous Media (중력댐 하부 침투류에 의한 양압력과 누수량 산정 -비균질 3차원 FDM 모형의 개발 및 적용-)

  • Kim, Sang-Jun
    • Journal of Korea Water Resources Association
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    • v.46 no.12
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    • pp.1221-1234
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    • 2013
  • The purpose of this study is to suggest the methodology for the computation of uplift pressure and discharge of the seepage flow under gravity dam. A 3-dimensional FDM model is developed for this purpose and this model can simulate the saturated Darcian flow in heterogeneous media. For the verification of the numeric model, test simulation has been executed and the mass balance has been checked. The error does not exceed 3%. Using the developed model, The uplift pressure and seepage flow discharge under gravity dam has been calculated. The uplift pressure shows the similar pattern, comparing with the result of flow-net method. As the length of grout curtain increases, the uplift pressure decreases linearly, but the seepage flow discharge shows the non-linear decreasing pattern. The coefficients of the formulas in the dam-design criteria have been analysed, and ${\alpha}=1/3$ corresponds to the value when the length of curtain grout is 70% of the aquifer height. The uplift pressure near the pressure relief drain has the big curvature vertically and horizontally. The developed model in this study can be used for the evaluation of the effects of seepage flow under gravity dam.

Capacity Analysis of Civil Defense Shelter and Optimal Positioning Using Spatial-Database and Genetic Algorithm (공간데이터베이스와 유전자 알고리즘을 활용한 민방위대피소 수용 능력 분석 및 최적 위치 선정)

  • Yoo, Su Hong;Bae, Jun Su;Lee, Ji Sang;Sohn, Hong Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.955-963
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    • 2019
  • Currently, the establishment and management of civil defense shelters are under the initiative of the government and local governments to protect the lives of citizens. In the future, there is a need for efficient civil defense shelters operation through the expansion of general shelters, including designated dedicated shelters. Therefore, it is more efficient to consider the distribution of residents and the location of access to shelters, not the quantitative operation considering only the number of residents. This study uses genetic algorithms and Huff gravity model based on census output data, building data, and road network information to understand the distribution of inhabitants more precisely than existing administrative district data. In addition, the spatial- database was used for efficient data management and fast processing, and if this study is improved, it can be used as a basis for the selection and improvement of general shelters positioning for a wider area.

Development of Network based Gravity and Magnetic data Processing System (네트워크에 기반한 중력.자력 자료의 처리기술 개발 연구)

  • Kwon, Byung-Doo;Lee, Heui-Soon;Oh, Seok-Hoon;Chung, Ho-Joon;Rim, Hyoung-Rae
    • Journal of the Korean Geophysical Society
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    • v.3 no.4
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    • pp.235-244
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    • 2000
  • We studied basic ideas of a network based Gravity/Magnetic data processing server/client system which provides functions of data processing, forward modeling, inversion and data process on Data Base. This Java technology was used to provide facilities, socket communication and JDBC(Java Database Connectivity) technology to produce an effective and practical client application. The server computers are linked by network to process the MPI parallelized computing. This can provide useful devices of the geophysical process and modeling that usually require massive computing performance and time. Since this system can be accessed by lots of users, it can provides the consistent and confident results through the verified processing programs. This system also makes it possible to get results and outputs through internet when their local machines are connected to the network. It can help many users who want to omit the jobs of system administration and to process data during their field works.

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Modeling the Distribution Demand Estimation for Urban Rail Transit (퍼지제어를 이용한 도시철도 분포수요 예측모형 구축)

  • Kim, Dae-Ung;Park, Cheol-Gu;Choe, Han-Gyu
    • Journal of Korean Society of Transportation
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    • v.23 no.2
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    • pp.25-36
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    • 2005
  • In this study, we suggested a new approach method forecasting distribution demand of urban rail transit usign fuzzy control, with intend to reflect irregularity and various functional relationship between trip length and distribution demand. To establish fuzzy control model and test this model, the actual trip volume(production, attraction and distribution volume) and trip length (space distance between a departure and arrival station) of Daegu subway line 1 were used. Firstly, usign these data we established a fuzzy control model, nd the estimation accuracy of the model was examined and compared with that of generalized gravity model. The results showed that the fuzzy control model was superior to gravity model in accuracy of estimation. Therefore, wwe found that fuzzy control was able to be applied as a effective method to predict the distribution demand of urban rail transit. Finally, to increase the estimation precision of the model, we expect studies that define membership functions and set up fuzzy rules organized with neural networks.

Application of Geophysical Methods to Cavity Detection at the Ground Subsidence Area in Karst (물리탐사 기술의 석회암 지반침하 지역 공동탐지 적용성 연구)

  • Kim, Chang-Ryol;Kim, Jung-Ho;Park, Sam-Gyu;Park, Young-Soo;Yi, Myeong-Jong;Son, Jeong-Sul;Rim, Heong-Rae
    • Geophysics and Geophysical Exploration
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    • v.9 no.4
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    • pp.271-278
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    • 2006
  • Investigations of underground cavities are required to provide useful information for the reinforcement design and monitoring of the ground subsidence areas. It is, therefore, necessary to develop integrated geophysical techniques incorporating different geophysical methods in order to accurately image and to map underground cavities in the ground subsidence areas. In this study, we conducted geophysical investigations for development of integrated geophysical techniques to detect underground cavities at the field test site in the ground subsidence area, located at Yongweol-ri, Muan-eup, Muan-gun, Jeollanam-do. We examined the applicability of geophysical methods such as electrical resistivity, electromagnetic, and microgravity to cavity detection with the aid of borehole survey results. The underground cavities are widely present within the limestone bedrock overlain by the alluvial deposits in the test site where the ground subsidences have occurred in the past. The limestone cavities are mostly filled with groundwater or clays saturated with water in the site. The cavities, thus, have low electrical resistivity and density compared to the surrounding host bedrock. The results of the study have shown that the zones of low resistivity and density correspond to the zones of the cavities identified in the boreholes at the site, and that the geophysical methods used are very effective to detect the underground cavities. Furthermore, we could map the distribution of cavities more precisely with the study results incorporated from the various geophysical methods. It is also important to notice that the microgravity method, which has rarely used in Korea, is a very promising tool to detect underground cavities.

Statistical Analysis of Aquifer Characteristics Using Pumping Test Data of National Groundwater Monitoring Wells for Korea (국가지하수 관측망의 양수시험 자료를 이용한 국내 대수층 특성의 통계적 분석)

  • Jeon Seon-Keum;Koo Min-HO;Kim Yongje;Kang In-Oak
    • Journal of Soil and Groundwater Environment
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    • v.10 no.6
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    • pp.32-44
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    • 2005
  • 314 pumping test data of the National Groundwater Monitoring Wells (NGMWs) are analyzed to present statistical properties of fractured-rock and alluvial aquifers of Korea such as distribution of hydraulic conductivity, empirical relations between transmissivity and specific capacity, and time-drawdown patterns of pumping and recovery test. The mean hydraulic conductivity of alluvial aquifers (1.26 m/day) is 17 times greater than that of fractured-rock aquifers (0.076 m/day). Hydraulic conductivity of fracture-rock aquifers ranges in value over 4 orders of magnitude which coincide with representative values of fractured crystalline rocks and shows distinctive differences among rock types with the lowest values for metamorphic rocks and the highest values for sedimentary rocks. In consideration of the estimated transmissivity with some simplifying assumptions, it Is likely that $32\%$ of groundwater flow for NGMWs would occur through fractured-rock aquifers and $68\%$ through alluvial aquifers. Based on 314 pairs of data, empirical relations between transmissivity and specific capacity are presented for both fractured-rock and alluvial aquifers. Depending on time-drawdown patterns during pumping and recovery test, NGMWs are classified into $4\~5$ types. Most of NCMWs $(83.7\%)$ exhibit the recharge boundary type, which call be attributed to sources of water supply such as streams adjacent to the pumping well, the vertical groundwater flux between fractured-rock and the alluvial aquifers, and the delayed yield associated with gravity drainage occurring in unconfined aquifers.

Numerical Simulation of Groundwater Flow in Feterogenetic Rockmass of Unsaturated Condition (암반의 불균질성을 고려한 불포화대 지하수 유동 평가)

  • Ha, Jaechul;Lee, Jeong Hwan;Cheong, Jae-yeol;Jung, Haeryong
    • The Journal of Engineering Geology
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    • v.26 no.1
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    • pp.87-99
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    • 2016
  • We present the results of two-dimensional numerical simulations predicting the flow of groundwater in a fractured unsaturated zone. We applied the k-field distribution of permeability derived from discrete fracture network (DFN) modeling as the hydraulic properties of a model domain. To model an unsaturated zone, we set the depth from the ground surface to the underground aquifer. The rate of water infiltration into the unsaturated zone was divided into two parts, an artificial structure surface and unsaturated soil zone. The movement of groundwater through the unsaturated zone was simulated with particular emphasis on contaminant transport. It was clearly observed that the contaminants dissolved in groundwater transported vertically from the ground surface to the saturated zone.

Intuitive Controller based on G-Sensor for Flying Drone (비행 드론을 위한 G-센서 기반의 직관적 제어기)

  • Shin, Pan-Seop;Kim, Sun-Kyung;Kim, Jung-Min
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.319-324
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    • 2014
  • In recent years, high-performance flying drones attract attention for many peoples. In particular, the drone equipped with multi-rotor is expanding its range of utilization in video imaging, aerial rescue, logistics, monitoring, measurement, military field, etc. However, the control function of its controller is very simple. In this study, using a G-sensor mounted on a mobile device, implements an enhanced controller to control flying drones through the intuitive gesture of user. The implemented controller improves the gesture recognition performance using a neural network algorithm.

Case Studies for Optimizing Heat Exchanger Networks in Steam-assisted Gravity Drainage Oil Sands Plant (SAGD 법을 이용한 오일샌드 플랜트 열교환기망 최적화를 위한 사례연구)

  • Cho, Eunbi;Jeong, Moon;Kang, Choonhyoung
    • The KSFM Journal of Fluid Machinery
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    • v.19 no.3
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    • pp.19-24
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    • 2016
  • Oil sands are a mixture of sand, clay, and a high-viscosity petroleum called bitumen. Steam-Assisted Gravity Drainage (SAGD) is the most viable and environmentally safe recovery technology for extracting bitumen. It extracts the viscosity-lowered bitumen by high pressure, high temperature steam injected into the bitumen reservoir. The steam is produced at the Central Processing Facility (CPF). Typically, more than 90% of the energy consumed in producing bitumen are used to generate the steam. Fuels are employed in the process, which cause economic and environmental problems. This paper explores the retrofit of heat exchanger network to reduce the usage of hot and cold utilities. The hot and cold utilities are reduced respectively 6% and 37.3% which in turn resulted in 5.3% saving of total annual cost by improving the existing heat exchanger network of the CPF.