• Title/Summary/Keyword: Location Coefficient

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A Study on the Changes in Specialization Degree and Cargo Volume by Cargo Type in Major Ports in Korea (우리나라 주요항만의 품목별 특화도와 물동량의 변동에 관한 연구)

  • Lee, Choong-bae;Su, Miao;Liu, Yanfeng
    • Journal of Korea Port Economic Association
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    • v.37 no.1
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    • pp.103-119
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    • 2021
  • Ports in Korea have been increasing in terms of volume while they have performed functions and roles such as industrial ports in promoting industries of their hinterlands as well as commercial ports supporting imports and exports. Nevertheless, specialization degree is different from port to port by cargo type and the changes in cargo volume. This study aims to analyze the structural changes and the degree of concentration and specialization by cargo type and port between 2001 and 2020. Top 10 ports were analyzed in terms of traffic volume by categorizing liquid, dry, general cargo and containers. HHI(Herfindahl-Hirschman Index), LQ(Location Coefficient), and shift-share analysis were employed in order to identify the degree of concentration, specialization and changes in cargo volume by port and cargo type. As a result of the analysis, the degree of port concentration and specialization for each cargo of 4 categories have maintained a high level, and no significant difference were found in fluctuations over the past 20 years. As a result of calculating the flucation of cargo volume through the shift-share analysis, the growth rate of liquid cargo was high in Yeosu Gwangyang Port, Pyeongtaek Dangjin Port in dry cargo, and Busan Port in general cargo and container ports. The result implies that it is not expected that the structural changes including degree of cargo concentration, specialization and relative fluctuation of cargo volume is significant in Korean ports in the future since the effects of economies of scale and clustering were achieved to the great degree.

An Analysis of the Absolute Vs. Conditional Convergency Hypothesis and the Determinants of Labor Productivity in Manufacturing Industries: The Korean Case (16개 광역시도별 제조업 부문에 대한 절대적 및 조건부 수렴가설 검증 및 생산성 결정요인 분석)

  • Park, Chuhwan;Shin, Kwang Ha
    • International Area Studies Review
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    • v.17 no.4
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    • pp.89-106
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    • 2013
  • In this paper, we analysed the absolute and conditional convergency hypothesis and the determinants of productivity in manufacturing industries from 2000 to 2009 with 16 provinces and metro-cities by using panel analysis. In terms of convergency hypothesis test, the results show that both of the convergency hypothesis, the absolute vs. conditional hypothesis, reject the null hypothesis(H0) implying the labor productivity of the 16 province and metro-cities converged to the steady state equilibrium. Also, the speed of the absolute and conditional convergency for the 16 province and metro-cities are average 4.4% and 0.73% respectively. In addition, the results of the determinants of the labor productivity in manufacturing industry show that human capital and manufacturing location coefficient affect to the value- added per capita significantly, but government expenditure per capita doesn't affect to the value- added per capita. As for the total factor productivity, government expenditure per capita and fixed capital per capita are important factors, but research and development doesn't. Hence the government has to revise the balanced regional development policy to develop regional manufacturing industries for the vulnerable regions. Also, it requires more study regarding income disparities and productivity.

Correlations and Comparison among Swallowing Function, Dietary Level, Cognitive Function, Daily Living according to Characteristic in Stroke Patients with Dysphagia (삼킴장애가 있는 뇌졸중 환자의 특성에 따른 삼킴기능, 식이수준, 인지기능, 일상생활의 비교 및 상관관계)

  • Moon, Jong Hoon;Kim, Kye Ho;Won, Young Sik
    • 재활복지
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    • v.20 no.4
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    • pp.265-281
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    • 2016
  • This study was to investigate the correlation among swallowing function, dietary level, cognitive function, daily living, and comparison for general characteristics in stroke patients with dysphagia. Subjects of this study participated to 56 stroke patients with dysphagia. Outcome measures is evaluated by Functional Dysphagia Scale(FDS), and Amerian Speech-Language-Hearing Association National Outcomes Measurements System(ASHA NOMS), and Korean Mini-Mental State Examination(K-MMSE), and Korean Modified Barthel Index(K-MBI). Collected all data analyezed to independent t test for four assessments, and general characteristics of study subjects analyzed by pearson correlation coefficient for four assessments. Results of study, swallowing function according to lesion location differed significantly(p<.05). Cognitive function according to onset duration differed significantly(p<.05). Age of subjects and dietary level, cognitive function showed a significant correlation(p<.05). Swallowing function and dietary level, cognitive function showed a significant correlation(p<.05). Cognitive function and dietary level, daily living showed a significant correlation(p<.05). Based on current results, we suggest that swallowing rehabilitation for stroke patients with dysphagia performed with consideration for cognitive function and characteristic of patients.

Development for Prediction Model of Disaster Risk through Try and Error Method : Storm Surge (시행 착오법을 활용한 재난 위험도 예측모델 개발 : 폭풍해일)

  • Kim, Dong Hyun;Yoo, HyungJu;Jeong, SeokIl;Lee, Seung Oh
    • Journal of Korean Society of Disaster and Security
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    • v.11 no.2
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    • pp.37-43
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    • 2018
  • The storm surge is caused by an typhoons and it is not easy to predict the location, strength, route of the storm. Therefore, research using a scenario for storms occurrence has been conducted. In Korea, hazard maps for various scenarios were produced using the storm surge numerical simulation. Such a method has a disadvantage in that it is difficult to predict when other scenario occurs, and it is difficult to cope with in real time because the simulation time is long. In order to compensate for this, we developed a method to predict the storm surge damage by using research database. The risk grade prediction for the storm surge was performed predominantly in the study area of the East coast. In order to estimate the equation, COMSOL developed by COMSOL AB Corporation was utilized. Using some assumptions and limitations, the form of the basic equation was derived. the constants and coefficients in the equation were estimated by the trial and error method. Compared with the results, the spatial distribution of risk grade was similar except for the upper part of the map. In the case of the upper part of the map, it was shown that the resistance coefficient, k was calculated due to absence of elevation data. The SIND model is a method for real-time disaster prediction model and it is expected that it will be able to respond quickly to disasters caused by abnormal weather.

Experiment on the Correlation between Mass Flux of Heptane and Material Property of Wall in Compartment Fire (구획 화재 시 벽면 재료 특성과 헵탄의 질량유속 상관관계 실험)

  • Park, Jung Wook;Shin, Yeon Je;Kim, Jeong Yong;You, Woo Jun
    • Fire Science and Engineering
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    • v.33 no.1
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    • pp.39-44
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    • 2019
  • In this study, the relationships between the material properties of the wall and the fuel mass flux in compartment fire. The fire resistant board (fire-board) and steel plate compartments are constructed with a 0.3 m width, 0.5 m height and 3.0 m length. To obtain the mass loss rate considering the location of the fire origin in compartment, experiments of a heptane pool fire are performed with a combustion area of $0.01m^2$ and $0.0225m^2$. The results show that the initial mass flux of heptane, $0.0087kg/m^2{\cdot}s$, is increased to $0.166kg/m^2{\cdot}s$ for fire board and $0.019kg/m^2{\cdot}s$ for steel plate. It means that the fire-scenario should be considered with the thermal characteristics of the material properties and geometric shapes of the compartment to predict fire propagation accurately in a compartment space.

AutoML and Artificial Neural Network Modeling of Process Dynamics of LNG Regasification Using Seawater (해수 이용 LNG 재기화 공정의 딥러닝과 AutoML을 이용한 동적모델링)

  • Shin, Yongbeom;Yoo, Sangwoo;Kwak, Dongho;Lee, Nagyeong;Shin, Dongil
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.209-218
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    • 2021
  • First principle-based modeling studies have been performed to improve the heat exchange efficiency of ORV and optimize operation, but the heat transfer coefficient of ORV is an irregular system according to time and location, and it undergoes a complex modeling process. In this study, FNN, LSTM, and AutoML-based modeling were performed to confirm the effectiveness of data-based modeling for complex systems. The prediction accuracy indicated high performance in the order of LSTM > AutoML > FNN in MSE. The performance of AutoML, an automatic design method for machine learning models, was superior to developed FNN, and the total time required for model development was 1/15 compared to LSTM, showing the possibility of using AutoML. The prediction of NG and seawater discharged temperatures using LSTM and AutoML showed an error of less than 0.5K. Using the predictive model, real-time optimization of the amount of LNG vaporized that can be processed using ORV in winter is performed, confirming that up to 23.5% of LNG can be additionally processed, and an ORV optimal operation guideline based on the developed dynamic prediction model was presented.

Characteristics of the Segregation Sedimentation for Dredged Soil Depending on Fines Content (세립분 함량에 따른 준설토의 분리 퇴적 특성)

  • Park, Minchul;Lee, Jongkyung;Shin, Hyohee;Lee, Song
    • Journal of the Korean GEO-environmental Society
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    • v.12 no.6
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    • pp.25-34
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    • 2011
  • Dredged and reclaimed ground in progress at the West Coast has a high content of coarse particles. There will be different behaviors depending on the location of outlet and engineering properties of soil when its ground is dredged by a pump. Therefore, the experiments were conducted that were manufactured about the chamber equipment of length 2,650mm, width 770mm, height 735mm, experimented step filling method and water content about 300%, 500% and 700% respectively with SM and ML samples in order to realize segregating sediment characteristics of dredged ground with changing much fine. With results of analysis, ML sample by higher initial water content was reached to the period of complete sedimentation and coefficient of sedimentation consolidation increased with increases of diffusion distance. SM samples showed behavior of coarse soil with diffusion distance 120cm, diffusion distance of more than 120cm showed a similar tendency with ML sample under the influence of fines. In ML sample, it could be also found that lower depth and the more increasing diffusion distance increase in percentage of sieve #200 but water content decreases. In SM sample, it could be also found that coarse soil was piled at near the diffusion distance zone but fine soil was piled at the far diffusion distance zone and prominent difference showed between percentage of sieve #200 and water content(%) by boundary point 120cm~160cm of both samples. Also, shear strength was expressed ML-maximum 2.97kPa, SM-maximum 10.2kPa with diffusion distance.

Development of TDR-based Water Leak Detection Sensor for Seawater Pipeline of Ship (시간영역반사계를 이용한 해수배관시스템의 누수 탐지용 센서 개발 연구)

  • Hwang, Hyun-Kyu;Shin, Dong-Ho;Kim, Heon-Hui;Lee, Jung-Hyung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.6
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    • pp.1044-1053
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    • 2022
  • Time domain reflectometry (TDR) is a diagnostic technique to evaluate the physical integrity of cable and finds application in leak detection and localization of piping system. In this study, a cable-shaped leak detection sensor was proposed using the TDR technique for monitoring leakage detection of ship's engine room seawater piping system. The cable sensor was developed using a twisted pair arrangement and wound by an absorbent material. The availability and performance of the sensor for leak detection and localization were evaluated on a lab-scale pipeline set up. The developed sensor was installed onto the pipes and flanges of the lab-scale set up and various TDR waveforms were acquired and analyzed according to the dif erent variables including the number of twists and sheath thickness. The result indicated that the twisted cable sensor was able to produce clear and smooth signal as compared to the TDR sensor with a parallel arrangement. The optimal number of twist was determined to be above 10 per the unit length. The optimal diameter of sheath thickness that results in the desired sensitivity was determined to be ranging from 80% up to 120% of the diameter of the conductor. The linear regression analysis for estimation of leak localization was carried out to estimate the location of the leakage, and the result was a determination coefficient of 0.9998, indicating a positive relationship with the actual leakage point. The proposed TDR based leak detection method appears to be an effective method for monitoring leakage of ship's seawater piping system.

A study of artificial neural network for in-situ air temperature mapping using satellite data in urban area (위성 정보를 활용한 도심 지역 기온자료 지도화를 위한 인공신경망 적용 연구)

  • Jeon, Hyunho;Jeong, Jaehwan;Cho, Seongkeun;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.55 no.11
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    • pp.855-863
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    • 2022
  • In this study, the Artificial Neural Network (ANN) was used to mapping air temperature in Seoul. MODerate resolution Imaging Spectroradiomter (MODIS) data was used as auxiliary data for mapping. For the ANN network topology optimizing, scatterplots and statistical analysis were conducted, and input-data was classified and combined that highly correlated data which surface temperature, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), time (satellite observation time, Day of year), location (latitude, hardness), and data quality (cloudness). When machine learning was conducted only with data with a high correlation with air temperature, the average values of correlation coefficient (r) and Root Mean Squared Error (RMSE) were 0.967 and 2.708℃. In addition, the performance improved as other data were added, and when all data were utilized the average values of r and RMSE were 0.9840 and 1.883℃, which showed the best performance. In the Seoul air temperature map by the ANN model, the air temperature was appropriately calculated for each pixels topographic characteristics, and it will be possible to analyze the air temperature distribution in city-level and national-level by expanding research areas and diversifying satellite data.

Water Management Plan for the Nakdong River Using TOC and COD (총유기탄소와 화학적산소요구량을 이용한 낙동강 물관리 방안)

  • Bo Eun Kim;Meea Kang;Gyo-Cheol Jeong
    • The Journal of Engineering Geology
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    • v.33 no.1
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    • pp.51-59
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    • 2023
  • The Nakdong river is both a natural resource crucial to underwater ecosystems and a water source for its basin's residents. Industrial wastewater and domestic sewage must meet the relevant standards for discharged water before they can flow into the river. The correlation between old and new measures of organic matter was examined using water quality data from 50 monitoring locations in the main stream of the Nakdong river. The coefficient of determination (R2) for total organic carbon (TOC), the new measure of organic matter, and chemical oxygen demand (COD), the old measure of organic matter, in the main stream of the Nakdong river was 0.6134, indicating high correlation. Water quality at each location assessed using TOC and COD showed disparities that cannot be ignored: quality appeared higher when evaluating the main stream of the Nakdong river using TOC instead of COD. Therefore, there remains a need to review water quality ratings based on TOC; continuous monitoring of COD is also required. In addition, the cause of the difference should be clearly identified to help assess artificial sources of pollution and natural factors affecting organic matter. Water management of the Nakdong river will then be possible using the water quality rating.