• Journal of Information Processing Systems
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• v.18 no.3
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• pp.332-343
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• 2022

To address the problems of the gravitational search algorithm (GSA) in which the population is prone to converge prematurely and fall into the local solution when solving the single-objective optimization problem, a sine map jumping gravity search algorithm based on asynchronous learning is proposed. First, a learning mechanism is introduced into the GSA. The agents keep learning from the excellent agents of the population while they are evolving, thus maintaining the memory and sharing of evolution information, addressing the algorithm's shortcoming in evolution that particle information depends on the current position information only, improving the diversity of the population, and avoiding premature convergence. Second, the sine function is used to map the change of the particle velocity into the position probability to improve the convergence accuracy. Third, the Levy flight strategy is introduced to prevent particles from falling into the local optimization. Finally, the proposed algorithm and other intelligent algorithms are simulated on 18 benchmark functions. The simulation results show that the proposed algorithm achieved improved the better performance.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.21 no.2
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• pp.269-276
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• 1976

This experiment was conducted to find out how to increase efficiency of fertilizer nitrogen and how to change the weed population with different methods of nitrogen application. Mudball deep placement, at 10-12cm soil depth, produced significantly the highest grain yield within the application methods with same amount of nitrogen (60kg N/ha). It produced also same grain yield with conventional application methods, timely split application method, with 90kg N/ha. Basal application of nitrogen increased weed population and it showed higher dry weight of weed than top dressing methods at early growth stage of rice.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.4
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• pp.221-230
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• 2017

Demographic change was considered to be the most major driver of land use change although there were several interacting factors involved, especially in the developing countries. This paper presents an approach to predict the future land use change using a hybrid model. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Experiment was conducted in Giao Thuy district, Nam Dinh Province, Vietnam. Demography and socio-economic variables dealing with urban sprawl were used to create a probability surface of spatio-temporal states of built-up land use for the years 2009, 2019, and 2029. The predicted land use maps for the years 2019 and 2029 show substantial urban development in the area, much of which are located in areas sensitive to source protections. It also showed that aquacultural land changes substantially in areas where are in the vicinity of estuary or near the sea dike. There was considerable variation between the communes; notably, communes with higher household density and higher proportion of people in working age have larger increases in aquacultural areas. The results of the analysis can provide valuable information for local planners and policy makers, assisting their efforts in constructing alternative sustainable urban development schemes and environmental management strategies.

• Journal of Plant Biotechnology
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• v.38 no.2
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• pp.117-124
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• 2011

Considering that the world population is expected to total 9 billion by 2050, it will clearly be necessary to sustain and even accelerate the rate of improvement in crop productivity. In the 21st century, we now face another, perhaps more devastating, environmental threat, namely climate change, which could cause irreversible damage to agricultural ecosystem and loss of production potential. Enhancing intrinsic yield, plant abiotic stress tolerance, and pest and pathogen resistance through agricultural biotechnology will be a critical part of feeding, clothing, and providing energy for the human population, and overcoming climate change. Development and commercialization of genetically engineered crops have significantly contributed to increase of crop yield and farmer's income, decrease of environmental impact associated with herbicide and insecticide, and to reduction of greenhouse gas emissions from this cropping area. Advances in plant genomics, proteomics and system biology have offered an unprecedented opportunities to identify genes, pathways and networks that control agricultural important traits. Because such advances will provide further details and complete understanding of interaction of plant systems and environmental variables, biotechnology is likely to be the most prominent part of the next generation of successful agricultural industry. In this article, we review the prospects for modification of agricultural target traits by genetic engineering, including enhancement of photosynthesis, abiotic stress tolerance, and pest and pathogen resistance associated with such opportunities and challenges under climate change.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.11-22
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• 2017

The purpose of the study is to come up with counter plans to the spatial change caused by an aging society. To achieve the purpose of this study, research methods are conducted in the literature survey and the census data are compared. This study focuses on an aging society, the current status of space and related problems, based on political economic spatial concepts, and then presents five countermeasures as follows. First, the planning considering the aging populations. Second, increase in total fertility rate and increase population absorption. Third, increased economic vitality of the elderly due to increased participation in the production of senior citizens. Forth, establishment and implementation of regional development plan for the elderly. Fifth, needs to transform the spatial policies of the aged to prepare a large gap in space. The result of this paper proposes the need to change the living space policies and planning to avoid mismatching between them, reducing the aging speed simultaneously. The study is expected to contribute to the establishment of a space plan for areas where the aging population is rapidly increasing.

• Journal of Environmental Health Sciences
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• v.45 no.3
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• pp.267-272
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• 2019

Objectives: The purpose of this study was to examine effect of anxiety about climate change on life satisfaction and mediating effect of subjective health status between anxiety about climate change and life satisfaction among older persons. Methods: This study used data from Statistics Korea 2018 Social Survey and a total of 7,870 older persons aged 65 and over were selected for the analyses. Descriptive statistics was used to identify characteristics of study participants and correlation analysis was used to examine the associations among anxiety about climate change, subjective health status, and life satisfaction. Also, multiple regression analyses were performed to examine effect of anxiety about climate change on life satisfaction and mediating effect of subjective health status between anxiety about climate change and life satisfaction. Results: Study findings show that anxiety about climate change had significant effect on life satisfaction. A higher level of anxiety decreased the level of life satisfaction of the elderly. A higher level of anxiety about climate change also decreased the level of subjective health status. In addition, the effect of anxiety about climate change on life satisfaction was partially mediated by subjective health status. Conclusions: Findings of the study suggest that the needs of older population should be considered in designing policy and interventions on climate change.

• KDI Journal of Economic Policy
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• v.34 no.4
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• pp.1-26
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• 2012

Greenhouse gas emission policy in Korea and elsewhere is based on emissions projections, a key element of which is the projected path of structural change from high productivity growth to low productivity growth economic sectors given sector specific labor productivity growth, emissions abatement across sectors and population growth. Thus, it is important to model the source of the structural change to forecast emissions correctly. Using data for the Korean economy, this study constructs and quantitatively evaluates a model of structural change and green growth to generate policy implications for Korea and the international greenhouse gas debate.

• Journal for History of Mathematics
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• v.24 no.2
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• pp.47-59
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• 2011

Various mathematical models have been widely studied recently in both fields of mathematics and ecology since they help us understand the dynamical process of population changes in biological species living in a certain habitat and give useful predictions. The world population model proposed by Malthus, a British economist, in his work 'An Essay on the Principle of Population' published in the period of 1789~1826 is one of the early mathematical models on population changes. Malthus' models and the carrying capacity models of Verhulst in 1845 were based on exponential type functions. The independent research field of mathematical ecology has been started from Lotka's works in 1920's. Since then various different mathematical models has been proposed and examined. This article mainly deals with single species population change models expressed in terms of ordinary differential equations.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.147-162
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• 2014

This study aims to provide the biological and geographical materials to identify the changes in population of Family Ardeidae included Egretta alba modesta, Egretta garzetta, Bubulcus ibis, and Nycticorax nycticorax and establish their conservation measurement in terms of the fragmented and deteriorated habitat by human development such as housing and park projects. Wonjucheon Stream was measured the highest species diversity since the survey site was relatively less interfered by the surrounding human beings showing lower disturbance elements. However, the closer the stream comes downstream, the more the artificial disturbance elements generate, confirming that the species better adapted to contamination grow in more density so that the species composition becomes simplified. It implies that feeding place as well as breeding-growing places is also more closely related to the changes in population structure and species composition of Family Ardeidae. The results of Family Ardeidae immigration in Taejang-dong, Wonju, among the other survey sites, revealed that a total of 231 came to the site in 2006; and 210 in 2011, showing more or less reduction in the population. In the mean while, Namyang-dong in Hwaseong City showed the continuous decrease in population number of Family Ardeidae with 135 before development and 60 during development, resulting in the number never growing but continuously narrowing over and over after development. As a result of surveying the number of Family Ardeidae that bred following the findings above, Taejang-dong in Wonju City had 4 species of Family Ardeidae being bred, however, showing the decrease in number of population from 998 in 2006 to 589 in 2011. Namyang-dong in Hwaseong was confirmed to have as many as 352 of the population in 2006 and 230 in 2008; after the deforestation on their habitat, they had not lived in the site any longer, suggesting that the development would significantly affect Family Ardeidae.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.69-78
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• 2012

Korean population has been rapidly aging. Most of people regard the aging population as future crisis due to the rate of change and agree to prepare for a soft-landing on aging society in South Korea. Particularly, the aging population growth in rural areas is much faster than urban areas. Also rural areas relatively have poorer social and economic conditions so the countermeasures for population aging considering related social and economic indices are required. Moreover, each rural region has the different preparedness level for rural aging based on regional socio-economic characteristics. In this study, we analyzed correlations of the rural aging rate and local characteristics and developed an evaluation index to show the regional preparedness status for rural aging. To test the applicability of developed indicators, we applied them to 161 rural regions and assessed regional preparedness level for rural aging. This study would provide basic data for establishing policies for rural aging.