• The Korean Journal of Ecology
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• v.13 no.3
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• pp.191-202
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• 1990

For the maximun yield of the forest trees in the forest management, the growth of annual ring area of the major forest trees was analysed in the four areas in South Korea. The time to the maximum productivity and the optimum cutting time for the maximum yield were estimated. The growth curve of annual ring area showed sigmoid like that of other organisms. Only the growth coefficient among the areas between Fraxinus rhynchophylla and Pinus koraiensis represented significance (5% level). The growth coefficient among forest trees between Pinus densiflora and Abies holophylla, Larix kaempferi and Carpinus laxiflora, Larix kaempferi and Quercus mongolica, Larix kaempferi and Quercus serrata, Larix kaempferi and Pinus koraiensis, and Larix kaempferi and Abies holophylla represented significance (5% level). Among eight forest trees, the time to maximum productivity (tm) of Larix kaempferi was the earliest (21.4 year), and Abies holophylla was the latest (91.9 year). The optimum cutting time for the maximum yield (tc) of L. kaempferi was the earliest (29.4 year) and that of A, holophylla was the latest (122.2 year) of all communities. The optimum cutting time for the maximum yield was 1.33 times as late as the time to the maximum productivity. If the growth of annual ring area as the forest tree for wood is regarded, L. kaempferi and P. densiflora are thought to be more economical than A. holophylla and P. koraiensis.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.5
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• pp.87-95
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• 2010

The optimum volume of sediment settling pond is determined by the maximum rainfall and surface peak rate runoff from crop field. Based on analysis of measured rainfall and runoff data, it was found that rainfall intensity of 2 mm/min would result in peak rate runoff from the agricultural field of study area. Optimum pond volume under various slope scenarios were determined using the WEPP model calibrated with measured flow and sediment data for the study watershed. For the agricultural field with the slope of 7 % and area of $2,600\;m^2$ at the study area, at least $6.4\;m^3$ of sediment settling pond is needed as shown in this study. The results presented in this study could be used as a guide in designing appropriate volume of sediment settling pond at highland agricultural areas because both very detailed field measurement and calibrated WEPP model results are used in the analysis.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.4
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• pp.54-61
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• 2012

This paper proposes a fusion method of the queen-bee evolution into the rank-based control of mutation probability for improving the performances of genetic algorithms. The rank-based control of mutation probability which showed some performance improvements than the original method was a method that prevented individuals of genetic algorithms from falling into local optimum areas and also made it possible for the individuals to get out of the local optimum areas if they fell into there. This method, however, showed not good performances at the optimization problems that had a global optimum located in a small area regardless of the number of local optimum areas. We think that this is because the method is insufficient in the convergence into the global optimum, so propose a fusion method of the queen-bee evolution into this method in this paper. The queen-bee evolution inspired by reproduction process of queen-bee is a method that can strengthen the convergency of genetic algorithms. From the extensive experiments with four function optimization problems in order to measure the performances of proposed method we could find that the performances of proposed method was considerably good at the optimization problems whose global optimum is located in a small area as we expected. Our method, however, showed not good performances at the problems whose global optima were distributed in broad ranges and even showed bad performances at the problems whose global optima were located far away. These results indicate that our method can be effectively used at the problems whose global optimum is located in a small area.

• Journal of Biosystems Engineering
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• v.10 no.1
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• pp.1-12
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• 1985

The two agricultural zones, mid-and-northen region and southern region, were established according to the possibility of double cropping in the paddy field. For each agricultural zone typically mechanized farming systems with a power tiller for cultivating rice, barley and soybean were established. A computer program, which determines the optimum size of power tiller for the given farm size, the ratio of paddy area to total area and the ratio of double cropping area to the paddy area, was developed. The computer program was executed for the farm sizes, 1 to 3 ha, and the ratios of paddy area to the total area, 60~80%, and the ratio of double cropping area to the total paddy area, 70%. The following conclusions were drawn from analyzing the computer outputs. 1. In the mid-and-northern region, a smaller power tiller (5 or 6 PS) appeared to be more economical for the farm size up to 3 ha. From the viewpoint of fuel consumption a 6 PS power tiller appeared to be more favorable. 2. In the southern region, a smaller tiller (5 or 6 PS) appeared to be more economical for the farm size up to 1.5 ha. But, a larger power tiller (8 or 10 PS) appeared to become more economical as the farm size and the barley planted area increased. 3. For the southern region where rotary tilling is heavily required due to double cropping, it is recommended to develop a power tiller which weighs light like the conventional 5 or 6 PS small power tiller but has lager power.

• Journal of The Korea Institute of Healthcare Architecture
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• v.3 no.4
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• pp.35-49
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• 1997

The percentage of postnatal disabled people and elderly population is rapidly increased by the industrialization, and the improvement of medical technology. The disparity between the city and rural area is in the way to disabled people who need rehabilitation. To solve these problems, Community Based Rehabilitation(CBR) is suggested by WHO. In this study, at first, the CBR model considering the specific characteristics of AnSan City are presented. Secondly, the first, the second, and the third rehabilitation facilities in AnSan City are classified by the CBR model. Thirdly, the estimation of optimum space for physical therapy and occupational therapy at rehabilitation center and public health center are sugested, which are the second level rehabilitation facilities. There are some differences in the distribution of population between new and old area in AnSan City. In other words, the subject population of CBR program in old area is relatively higher than that of new area. So, the CBR program for AnSan City must reflect their regional characteristics. In this study, the therapeutic boundaries of second level rehabilitation facilities is decided through the survey of physical therapists and occupational therapists in general hospitals and nursing homes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.11 no.2
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• pp.17-26
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• 1993

This study aims to develop an effective model of the optimum route determination by using digital terrain model. So in this study I select testing areas and analyse comparing the usual method with the digital terrain model method. And then I present one of the optimum route determination models by analysing an anticipated view and other roads according to the development plan. In usual method, the selected area was analysed by using panoramic terrestrial and aerial photograph. But in this study I represent the present terrain by using digital terrain materials which was acquired by a check form map of the selected area, and predict the route line according to the view points by using basic development plan. As a result of using the digital terrain model method in the optimum route determination with terrestrial photograph, it is possible to explain the terrain in detail when the present conditions terrain is analysed. As we can anticipated many sided road in large scale development plan with digital terrain materials which was used in analysing the present terrain, it is possible to lead to more effective route planning, landers planning and the optimum road determination than the usual method in the basic plan.

• Computers and Concrete
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• v.10 no.3
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• pp.295-306
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• 2012

Optimum cost design of a simply supported reinforced concrete beam is presented in this paper. In the formulation of the optimum design problem, the height and width of the beam, and reinforcement steel area are treated as design variables. The design constraints are implemented according to ACI 318-08 and studies in the literature. The objective function is taken as the cost of unit length of the beam consisting the cost of concrete, steel and shuttering. The solution of the design problem is obtained using the artificial bee colony algorithm which is one of the recent additions to metaheuristic techniques. The artificial bee colony algorithm is imitated the foraging behaviors of bee swarms. In application of this algorithm to the constraint problem, Deb's constraint handling method is used. Obtained results showed that the optimum value of numerical example is nearly same with the existing values in the literature.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.2
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• pp.219-228
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• 1998

This study was investigated a optimum planting density of urban public park in seoul. Eight species commonly usd as landscape plants were selected. The survey was conducted to measure hight and width of the trees by five years interval. The results are summarized as follows. The average annual growth rates of the trees after planting were 7.4% in height 11.7% in width. Faster grown trees than average growth rate of the survey tres wee Metasequoia, glyptostroboides and Acer buergerianum, While the slower grown trees were Pinus koraiensis, Ginkgo biloba and Zelkova serrata. The average grown trees were Pinus strobus, Pinus densiflora and Acer palmatum . The planting density of survey area was 0.20tree/$m^2$. The optimum planting density was kept until five years after planting, however overcrowding density was found beyond five years after planting. This study also found the density of ten years after planting reaches about 3 times of optimum density.

• Journal of Korean Society of Forest Science
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• v.107 no.4
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• pp.436-445
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• 2018

This study aims to find out factors to affect forest area of public sector such as state forest and estimate optimum area of state forest in Korea. This study was carried out with the rate of public forest and public forest per capita as dependent variables and 15 independent variables to the 35 countries in OECD countries using analysis of linear regression. From research, optimum area of the public forests of Korea was estimated from to minimum 2,136,000 hectares to maximum 2,667,000 hectares, based on OECD countries. The public forest areas of Korea were 1,984,000 hectares in 2010. To reach the average level of OECD countries, it is required that public forest areas of Korea are expended from minimum 152,000 hectares to maximum 683,000 hectares. It is hard to expect that enhancing the areas of public forest in Korea through expanding local government owned forest areas. Therefore, it required that state forest areas are expanded by Korea government.

• 유체기계공업학회:학술대회논문집
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• 1999.12a
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• pp.324-332
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• 1999

This paper presents the artificial life algorithm which is remarkable in the area of engineering for optimum design. As artificial life organisms have a sensing system, they can find the resource which they want to find and metabolize it. And the characteristics of artificial life are emergence and dynamical interacting with environment. In other words, the micro interaction with each other in the artificial life's group results in emergent colonization in the whole system. In this paper, therefore, artificial life algorithm by using above characteristics is employed into functions optimization. The effectiveness of this proposed algorithm is verified through the numerical test of single and multi objective functions. The numerical tests also show that the proposed algorithm is superior to genetic algorithm and immune algorithm for the Multi-peak function. And artificial life algorithm is also applied to optimum design of high-speed, short journal bearings and verified through the numerical test.