• Journal of Korea Game Society
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• v.7 no.4
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• pp.117-123
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• 2007

This paper presents the Stone Influence, the Influence Point, and the Influence Area on computer Go. The Stone Influence is defined using the distance between stone and empty point. The Influence Point is defined using threshold value on the Stone Influence. The Influence Area is defined using lump of the Influence Points and its Core. In experiments using the Jeongseok data, the author obtained the threshold of Influence Points. The proposed method was verified by experiments where it was success fully applied to the influence in game of Go.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.4
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• pp.403-411
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• 2016

This research has the purpose to develop a method to evaluate whether station’s area of influence has been formed, and verify formation of the area of influence through empirical analysis of all subway stations in Seoul. First, we created buffers of 100m intervals from 100m to 1000m, based on subway station exits, calculated the average land price of each buffer, and divided station areas of influence into 10 clusters using K-means clustering with the average land prices as values of observation. Subsequently, we have assumed a decreasing price curve from increasing distance from a nearby subway station, estimated a price curve and evaluated whether the area of influence actually exists using regression analysis of each cluster. The 10 area of influence clusters were largely divided into strong, weak, and no area of influence of subway station. The stations where the strong areas of influence are formed are mainly located in center, sub-centers, and local centers; stations where weak and no areas of influence are formed are mostly located in the adjacent areas of center or sub-centers or suburbs.

• Geomechanics and Engineering
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• v.17 no.3
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• pp.287-294
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• 2019

The finite element method (FEM) is widely used to evaluate the seismic performance of pile-supported buildings. However, there are problems associated with modeling the pile end resistance using the FEM, such as the dependence on the mesh size. This paper proposes a new method of modeling around the pile tip to avoid the mesh size effect in two-dimensional (2D) analyses. Specifically, we consider the area of influence around the pile tip as an artificial constraint on the behavior of the soil. We explain the problems with existing methods of modeling the pile tip. We then conduct a three-dimensional (3D) analysis of a pile in various soil conditions to evaluate the area of influence of the soil around the pile tip. The analysis results show that the normalized area of influence extends approximately 2.5 times the diameter of the pile below the pile tip. Finally, we propose a new method for modeling pile foundations with artificial constraints on the nodal points within the area of influence. The proposed model is expected to be useful in the practical seismic design of pile-supported buildings via a 2D analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1D
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• pp.61-69
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• 2012

The purpose of this study is to draw the development direction of subway adjacent area by distance through an analysis on influence factors of land value by urban spatial constitution. The method of this study is analyzing influence factors of land value by the distance of subway adjacent area by using regression analysis method with urban spatial constitution variables from advanced research and drew the difference and extent of land value influence factors by distance of subway adjacent area. The result of analyzed the influence factors of land value by distance to draw the purpose of this study, which is the direction of development by distance of subway adjacent area, the connected area has shown the development direction as high density development centrally on commercial and improvement of accessibility and decrepit status, the directly influence area shows as complexity with high density centrally on commercial and business and lastly, the in directly influence area has shown the development direction as complexity of residential and commercial, improvement of accessibility and decrepit status. This study has used land value as a dependent variable to verify the speculation of this study based on the contents, the results of the analyze and the critical points of precedent studies to draw the development direction of subway adjacent influence area by using autonomous variables from advanced research. Upon this, drew a conclusion of this study as analyze of influence factors of land value could be a reference material for development of subway adjacent area.

• Journal of Environmental Impact Assessment
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• v.23 no.5
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• pp.393-405
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• 2014

In this study, the nonpoint sources were evaluated by calculating the Nadonggang basin regional water quality and nonpoint source pollution load discharged. And were selected the banks of first administration based on the results and the direction of the next administration. As a results of estimating the water quality about BOD concentration in the mid influence area in the Nakdonggang basin, it was founded that 10 sites for 'Ia' water quality level, 6 sites for 'lb' water quality level, 5 sites for 'II' water quality level, 1 sites for 'I' water quality level. The estimation of COD concentration in the mid influence area, It showed that 9 sites for 'Ib' water quality level, 6 sites for 'II' water quality level, 6 sites for 'III' water quality level, 1 site for 'IV' water quality level. The assessment of water quality made Mid influence area of Gumhogang, Nakdong Goryung, Nakdong Milyang and Namgang selected as the mid influence area of high pollution. And delivery loads of nonpoint sources were calculated for mid influence area in Nakdonggang basin(max delivery load : 17,706.7 kg/day for Gumhogang influence area). As the result of calculating NPS(nonpoint sources) delivery load and water quality at influence area in Nakdonggang basin, Gumhogang influence area was selected as an area for management priority among nonpoint sources.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.225-240
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• 1991

The purpose of this study is to find the main factor which influences the housing satisfaction of elderly who lives alone or with spouse and to make it sure that housing satisfaction is an important factor to life satisfaction of elderly. The specific purpose of this study is as follows; 1) How does the locus of control of elderly influence a housing satisfaction\ulcorner 2) How does the housing characteristics of elderly influence on the housing satisfaction and this relationship has any difference between urban and rural area. 3) Which variables influence upon the housing satisfaction and life satisfaction of elderly and how much do they influence \ulcorner The locus of control scale, housing satisfaction scale. life satisfaction scale were composed on the basis of precedent researches. For this study 202 elderly sho live in urban and rural area ere interviewed. To analyze the data, such as F-test, t-test, two-way ANOVA, Multiple regression analysis were used with SPSS program. The results are as follows; 1) The interrelation between locus of control and housing satisfaction is as follows. Namely , if he believes in his deeds and will rater than his fate, he feels more housing satisfaction. 2)the housing satisfaction of the elderly was found to be influenced by location, Namely, the elderly living in the urban area feels more housing satisfaction, especially he lives in apartment and unshared house. On the contrary, the elderly living in the rural area was not affected by housing type and the number of household who live together, The housing satisfaction of the elderly living in the rural area or the urban area equally influenced by the housing tenure, heating system, bathroom facility, flush toilet, and convenient service form the outside. 3) The main factoers which influence the housing satisfaction of the single household elderly are bathroom facility louse of control and income. When we concern about the location in urban area the housing satisfaction of the elderly were mainly influenced by income, but in the rural area, they were influenced by the service facility from the outside. As a Conclusion, the main factor which influenced life satisfaction of the elderly proved to be housing satisfaction inn both rural and urban area.

• Transactions of the Korean Society of Automotive Engineers
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• v.3 no.5
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• pp.1-9
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• 1995

The purpose of this study is to develop a computer simulation program for analyzing load transmission characteristics of a helical gear system in design stage. In this analysis, the rotational delay, load distribution, root stress, and contact area are investigated. That is, the influence function of deflection is obtained by finite element analysis and the influence function of approach and gear tooth error are considered. Load distribution, rotational delay, and contact area are calculated by solving load-deflection equation which includes these influence functions and tooth error, and the influence function of the bending moment is obtained by finite element analysis. The root stress is calculated by the load distribution and the influence function of the bending moment. The results of the simulation are cross-checked through a specially designed experimental set-up.

• Journal of Korean Port Research
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• v.14 no.3
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• pp.341-351
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• 2000

This study is on the purpose that the influence caused by noise and shaking through construction works shall be ranged to the fishing species of fishing area of the surface of sea. This study have been performed through analysis of physical effect by the value of noise and shaking test. The resulted purpose of this study has been carried out regarding whether influence factor of the fishing species and others are related or not as per the noise and shaking. For the purpose of the survey of noise and shaking, observances have been performed regarding the direct water surface of fishing area are as well as undersea. As for this result, the influence area for the injury at the fishing area caused by the noise and shaking have been stretched out to the distance of 10km from the source of sound. In this conclusion, this study is regarded as the reference basis of the compensation of injury for the species of fish and others in fishing area.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.139-145
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• 2005

`Influence Area` means the area that the traffic flow pattern of which is changed remarkably after the construction of highway facilities. The Influence area would be a significant criteria for demand forecasting and economic analysis. However existing methods for defining influence area such as O/D method, traffic volume variation method and rate of traffic volume variation method have no standard criteria. In this paper, some problems which existing methods have are analyzed and a new method travel time method - is introduced. Influence area can be induced as the area where the vehicles reach from starting traffic zone to ending zone to which 95 percentile vehicles want to travel. In addition, the value of standard criteria for defining influence ayes are induced via this method.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.3
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• pp.129-138
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• 2018

The purpose of this study is to analyze the daily living area of the elderly using the vast amount of travel route data collected through smart phones. In order to analyze the utilization status of the elderly into the visiting area and the living area, the subway station influence area was typed based on the number and ratio of the elderly visiting and the elderly living there. The characteristics of the elderly visiting area and the living area of the subway station area were derived by analyzing the walking route data for the three types of subway station influence areas where the elderly visit and live. First, we derive the range of visiting area and living area of the elderly near the subway station. Second, we derive the characteristic of moving distance which causes the linked walking of the elderly. Third, destination distribution and facility utilization are influenced by the subject of use, movement pattern, and facility awareness.