• Journal of Korea Water Resources Association
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• v.36 no.1
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• pp.129-142
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• 2003

In this study, the conduct of underground water flow system with 3 dimensions is interpreted in order to examine closely the actual condition regarding the flow of the underground water which is forecast from the tunnel segment and the interpretation result which selects the design and the construction technique of the tunnel segment was applied. Also, an obstacle to construct that relates with the underground water flow in construction duration in advance will be able to apply with information that is necessary in order to establish the countermeasure. The objective tunnel is the BEOPGI tunnel segment that is 2 parallel tunnels that are a one-way 2 lane and the parameters of the MODFLOW model executing the boring investigation and the permeability examination were presumed. The underground water flow of the excavation tunnel inside was interpreted by the MODFLOW model using the parameters which is presumed and two values which compared with calculated value and observed value are the same almost. Also, when the underground water discharge quantify that followed in tunnel excavation tries to compare, the underground water total discharge quantity from tunnel point of start until destination was presumed as 0.0269㎥/day/$m^2$.

• Journal of Korea Water Resources Association
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• v.32 no.2
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• pp.197-210
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• 1999

This study examines the duration and severity of droughts by the use of stochastic process considerations. The key annual flow statistics are used to estimate the related statistics of drought probability distributions for various combinations of return period and water demand. This study efforts initially focused on analyzing all the nation streamgage records that were judged to meet certain selection criteria, including those of record length, record quality. These analyses resulted in the determination of those annual flow statistics necessary to define the behavior of drought sequences for the selected streams. Using prior research results, the actual or estimated flow statistics are related to the probability distributions of maximum drought events, through the application of the theory of runs. This has resulted in assigning return periods to drought events at gaged locations, and permits an assessment of the probabilities of observed historical drought within the nation.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.268-277
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• 2009

This study seeks to promote the mental and physical efficiencies of the foreign workers working in our country through the promotion of their health, and provide help in their effective use of medical treatments and granting appropriate medical benefits, and provide the basic information helpful in managing the health of the foreign workers who are playing a role in the advancement of the industry in Korea for the companies and employers that are employing them by researching the health condition and management status centering on the foreign workers from a part of Asia and South America who are working in our country. I made a regression analysis toward 231 foreign workers who have employed in industrial workplace from Mar. 1 to Jun. 30, 2008. The result said the factors that affect significant impact on common health disorder of foreign workers in their daily circumstances were staying period in Korea($\beta$=.270),difficulty to access hospital($\beta$=.268), inferior sanitation of work place($\beta$=.218), smoking or not($\beta$=.170), actual condition of health maintenance($\beta$=-.251).($R^2$=0.501)

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.77-86
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• 2019

Due to the increasing demand for and complexity of plant construction projects, unpredictable risk factors are on the consequent increase. For that reason, the quantitative risk analysis is being called for, in order for the development of a risk assessment model using risk indicators for the plant construction projects. This study used the claim payout data collected at a global insurance company to reflect the actual financial losses in plant construction projects as dependent variables in the risk assessment model. In terms of independent variables, the geographic information, i. e., landform, and the construction information including test-run, schedule rate, total cost and duration are adopted. In addition, this study suggests that the regression model containing such independent variables that are statistically significant can be applied to as a foundational guideline for the plant construction project risk analysis during the phase of construction and commissioning.

• Journal of Family Resource Management and Policy Review
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• v.24 no.4
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• pp.1-20
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• 2020

This study aims to improve the family friendly certification system by analyzing the actual experience of family friendly certified companies with the certification's incentives and their demand for new incentives. We analyzed 2018 survey data of family friendly certified company incentives and interviewed representatives from 9 family friendly certified companies. First, the use of incentives differs according to the level of corporate classification, number of employees, industry, certification continuation training, and incentive impact. Current family friendly certification incentives indicate that the utilization rate of incentives is high when small and medium sized enterprises (SMEs) with less than 300 employees have newly received family friendly certification. Second, the use of the certification mark significantly differs by industry, certification duration, and incentive impact. Interviews with the companies' family friendly certification managers revealed that the incentives that companies use mainly are the Public Procurement Service bid points and priority immigration service. Large corporations hope for strong incentives, such as the National Tax Service's deferred tax investigation, interest rate cuts for bank loans, and corporate tax cuts. Lastly, the family friendly certification mark is a representative incentive used by 60% of family friendly certified companies. For the qualitative growth and stabilization of the family friendly certification system, the family friendly certification mark should be improved to become a more attractive incentive.

• Journal of Korean Society on Water Environment
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• v.27 no.2
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• pp.228-234
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• 2011

The goal of water quality management on stream and watershed is to focus not on discharged loads management but on a water quality management. Discharged loads management is not goal of water quality management but way for perform with total maximum daily loads management. It is necessary to estimate the relation between non-point source with stromwater runoff (NPSSR) and water quality to select a watershed where it is required to manage NPSSR for water quality improvement. To evaluate the effects of NPSSR on stream's water quality, we compare the aspects of water quality in dry and wet seasons using flow duration curve analysis based on flow rate variation data by actual surveying. In this study we attempt to quantify the variation characteristic of water quality and estimate the Inflow characteristic of pollution source with water quality and flow rate monitoring on 10 watersheds. We try to estimate water quality and flow rate by regression analysis and try again regression analysis with each high and low water quality data more than estimations. An analysis of relation between water quality and flow rate of 10 watersheds shows that the water quality of the Nonsan and the Ganggyeong streams had been polluted by NPSSR pollutants. Other eight streams were important point source more than NPSSR. It is wide variation range of $BOD_5$ also high average concentration of $BOD_5$. We have to quantify water quality variation by cv1 in wet season and cv365 in dry season with comparing the estimate of high water quality and low water quality. This method can be used to indicator for water quality variation according to flow rate.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.3
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• pp.77-84
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• 2022

Objectives This study is designed to identify the effectiveness of herbal medicine for osteoporosis in rheumatoid arthritis. Methods We will investigate 10 databases, 4 Korean databases (KoreaMed, KMBASE, Koreanstudies Information Service System [KISS], ScienceOn) and 6 of abroad (PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure [CNKI], WanFang, Citation Information by NII [CiNii]) without publication date, language limitation for clinical study of herbal medicine for osteoporosis in rheumatoid arthritis. Type, dose, duration, frequency of herb medicine will be analyzed. Results Randomized controlled trials about herbal medicine or herb extract for osteoporosis in rheumatoid arthritis should be included in the study. Cochrane's risk of bias tools will be used to assess quality of the study. Mean differences or standardized mean differences of 95% confidence intervals will calculated and data synthesis will be conducted using Review Manager (RevMan, ver.5.3; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark). Conclusions It is expected to provide basic data for the active use of herb medicine by systematically synthesizing and analyzing the actual situation, effectiveness, and safety of herb medicine for osteoporosis in rheumatoid arthritis.

• The Journal of Fisheries Business Administration
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• v.54 no.1
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• pp.37-49
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• 2023

Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.685-694
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• 2008

Recently, construction projects are being gradually changed to large projects with complicated work processes. As a result, claims are increasing as well. Of these, the claims by delayed construction duration are given much weight in the general construction claims. To solve this problem, researches to estimate damages due to delay are carried out in research institutes by analyzing the causes of schedule delay. A system to easily estimate responsible days by analyzing the complicated processes needs for project manager. This study suggests a methodology based on the time impact analysis method, which can utilize the consequential analytical method with the consideration of reduced construction period. The suggested methodology is verified by comparing with actual data of case study by the computerized system for estimating the responsible days.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.634-639
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• 2013

The aim of the study is to develop the 3D visualization of Building Information Model and integrated 4D model for optimization of resources in the construction project. This study discuss the process of methodology and creation of 4D model of the project and simulate it to monitor the workflow at the site. Different stages of the construction process and activities are generated by using Revit and MS Project. MS project has been used for creation of the schedules and these are linked with the Revit for 3D modeling. The time used as the fourth dimension and 4D model created by using Navisworks Time liner software. Narges shopping center is presented as a case study to realize the actual uses and benefits of Building Information Model (BIM). Narges shopping mall is located in Tehran, Iran. As a part of Hekmat master plan, Narges shopping center is an 11 stores building with a total area of 30000 Sq.m. This shopping and entertainment center is comprised of 150 retails and two multi-use public halls with a capacity of 400 persons each and underground parking with total 400 parking space. The main purpose of architecture was to create an urban public center along with its revolving, spiral like form and an ever changing continuous façade by means of different colors, materials, which is in harmony with the other building of the master plan. The approximate cost of the project is $17 million and duration of the project schedule is 30 months. The developed Building Information Model enabled us to identify the potential collisions or clashes between various structural and architectural systems. 4D model has been used for limiting the interaction between subcontractors installing the different systems so rework could be avoided and productivity maximized. It is also observed that the utility of BIM for construction stimulation and clash detection is the best suitable method. Clash detection before the implementation of work is highly recommended to avoid rework.