• Journal of Korean Society of Environmental Engineers
• /
• v.34 no.4
• /
• pp.288-294
• /
• 2012

The current growth of nano-industries has resulted in released nanoparticles entering into water and soil ecosystems via various direct or indirect routes. Physicochemical properties of nanoparticles differ from bulk materials, and nanomaterials influence the fates of nanoparticles and the interactions of living or non-living things in the environment. Microcosm analysis is a research methodology for revealing natural phenomena by mimicking part of an ecosystem under controlled conditions. Microcosm study allows for the integrated analysis of toxic effects and fates of nanoparticles in the ecosystem. Ecotoxicity studies of nanomaterials are steadily increasing, and microcosm studies of nanomaterials are currently beginning to surface. In this study, microcosm studies of nanomaterials in water and soil ecosystems were extensively investigated based on SCI(E) papers. We found that the microcosm studies have been reported in 12 instances, and mesocosm studies have been reported in only once until now. Advanced research was mostly evaluated at the microorganism level. But integrated analysis of nanotoxicity is required to research the interactions based of various species. Thus, our studies analysed the trend of microcosm studies on nanomaterials in water and soil ecosystems and suggested future directions of microcosm research of nanomaterials.

• Journal of Applied Biological Chemistry
• /
• v.55 no.4
• /
• pp.227-234
• /
• 2012

We observed that oil began to accumulate at 25 seed days after flowering (DAF) and reached the maximum potential at 35 seed DAF of oilseed rape, and the greatest weight of 100 seeds was obtained at 35 seed DAF. To survey a broad analysis of gene expression in developing embryos of Brassica napus, the Bn 300k microarray have been constructed. The Bn 300k Microarrary was designed from 80,696 unigenes clustered from 543,448 ESTs and 780 cDNA at NCBI. These arrays have been hybridized in a series of experiments with probes derived from seeds and leaf of B. napus. Approximately 8.5% of the 7,000 genes were expressed as ratios 2-fold higher in seed (25 DAF) than leaves and 0.4% at ratios 10. Also we observed that storage and cell differentiation-related genes were highly expressed at 10 DAF, whereas energy-related genes including fatty acid metabolism were increased up depending on seed maturation using Microarray, which was confirmed by reverse transcriptase polymerase chain reaction. These results suggest that B. napus arrays provide a very useful data set of seed-specific expression that can be further analyzed by examination of the promoter regions of these genes and help our understanding of the complex regulatory network in developing seeds.

• Microbiology and Biotechnology Letters
• /
• v.34 no.2
• /
• pp.83-93
• /
• 2006

In heavily industrialized areas, soil sites are contaminated with high concentrations of heavy metals. These pollutants are highly accumulated to the human body through the food web and cause serious diseases. To remove heavy metals from the soil, a potential strategy is the environmental friendly and cost effective phytoremediation. For the enhancement of remediation efficiency, the symbiotic interaction between the plant and plant growth-promoting rhizobacteria (PGPR) has been attended. In this review, the interaction of the plant and PGPR in the heavy metal-contaminated soil has been reviewed. The physicochemical and biological characteristics of the rhlzosphere can influence directly or indirectly on the biomass, activity and population structure of the rhizobacteria. The root exudates are offered to the soil microbes as useful carbon sources and growth factors, so the growth and metabolism of rhizobacteria can be promoted. PGPR have many roles to lower the level of growth-inhibiting stress ethylene within the plant, and also to provide iron and phosphorus from the soil to plant, and to produce phytohormone such as indole acetic acid. The plant with PGPR can grow better in the heavy metal contaminated soil. Therefore higher efficiency of the phytoremediation will be expected by the application of the PGPR.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.5
• /
• pp.1100-1108
• /
• 2009

The Objectives: The purpose of this study is to identify the factors related to management of DM in Korea. Methods: The subjects selected by using data of National Health and Nutrition Survey(NHANS) in 2005 were 415 adults, aged 20 and older, and diagnosed with DM. This study used data mining algorithms. This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and Neural Network on the basic of validation, it was found that the model performance of decision tree was the best among the above three techniques. Result: First, awareness of DM was positively associated with age, residential area, and job. The most important factor of DM awareness is age. Awareness rate of DM with 52 age over is 76.1%. Among the ${\geq}52$ age group, an important factor is family history. Among patients who are 52 years or over with family history of DM, an important factor is job. The awareness rate of patients who are 52 age over, family, history of DM, and professionals is 95.0%. Second, treatment of DM was also positively associated with awareness, region, and job. The most important factor of DM treatment is DM awareness. Treatment rate of patients who are aware of DM is 84.8%. Among patients who have awareness of DM, an important factor is region. The awareness rate of patients who are aware of DM in rural area is 10.4%. Conclusion: Finally, the result of analysis suggest that DM management programs should consider group characteristic of DM patients.

• Korean Journal of Cognitive Science
• /
• v.16 no.4
• /
• pp.369-386
• /
• 2005

Although Intelligent Tutoring System(ITS) offers individualized learning environment that overcome limited function of existent CAI, and consider many learners' variable, there is little development to be using at the sites of schools because of inefficiency of investment and absence of pedagogical content knowledge representation techniques. To solve these problem, we should study a method, which represents knowledge for ITS, and which reuses knowledge base. On the pedagogical content knowledge, the knowledge in education differs from knowledge in a general sense. In this paper, we shall primarily address the multi-complex structure of knowledge and explanation of learning vein using multi-complex structure. Multi-Complex, which is organized into nodes, clusters and uses by knowledge base. In addition, it grows a adaptive knowledge base by self-learning. Therefore, in this paper, we propose the 'Extended Neural Logic Network(X-Neuronet)', which is based on Neural Logic Network with logical inference and topological inflexibility in cognition structure, and includes pedagogical content knowledge and object-oriented conception, verify validity. X-Neuronet defines that a knowledge is directive combination with inertia and weights, and offers basic conceptions for expression, logic operator for operation and processing, node value and connection weight, propagation rule, learning algorithm.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.28 no.4
• /
• pp.421-427
• /
• 1995

To know the variation in the growth of the sea urchin, Pseudocentrotus depressus according to their localities, three different populations including the culture populations, the released populations, and the wild populations were investigated using the cluster analysis. For this purpose, pigment banding pattern on the genital plate was used as an age character. The population composed of the same year class was born between September 25th and October 5th every year. The population of 9 to 10 months old had no $r_1,\;whereas\;r_1$, was observed in the population of either 1 year and 10 or 11 months old, and both $r_1,\;and\;r_2$ in the population of either 2 year and 9 or 10 months old. Therefore, $r_1,\;and\;r_2$ radius were regarded as an annual ring. Growth in the culture populations was much better than that In either the released or the wild populations. However, when the cultured populations composed of 8 to 12 mm in test diameter was released to the shove near a culture farm, its growth appeared to be similar to that of the wild Populations. The wide distribution patterns of test diameter measured from the same year class of both the cultured and the wild populations were probably due to either long spawning period or growth differences between individuals. Except Yamaguchi and Cheju populations, the move closely located populations showed the more similar growth pattern. However, the growth of Cheju population appeared to be similar to that of Aba, Mogi, Toishi rather than Kasiwazima although Cheju Island was more closely located with Kasiwazima than other localities. In addition, the population of Yamaguchi, located at the highest latitute, revealed the similar growth pattern to that of Nomozaki, located at the lowest latitute.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.33 no.5 s.112
• /
• pp.43-56
• /
• 2005

This study was conducted to examine the inhabitation of wild birds at the World Cup Park and to offer the Park ecological management data. Land use md actual vegetation were examined to analyze the inhabitation of wild birds. Characteristics of bird communities were analyzed by dominance, density, diversity index and guild concept. You compare inhabitation before and after the Park was built. We classified the land use and actual vegetation into twenty-six types. Robinia pseudoacacia dominated the study area. Pyeonghwa Park and Nanji-cheon Park were simple-layer structures composed of alien woody species. The observed birds after the World Cup Park included 33 families 77 species, and 9,751 individuals. Among Wild Life types, the shrub and bush type was dominant. There were 26 species of resident birds, 20 species of summer visitors, 18 species of winter visitors, and 12 species of passage migrants. The following numbers of species and individuals were observed: in Hanul park, 38 species, 3,151 individuals; in Noul park, 45 species, 2,061 individuals; in Nanji-cheon park, 42 species, 2,742 individuals; in Pyeonghwa park, 29 species, 875 individuals; and in Maebongsan(Mt.) area, 35 species, 922 individuals. Species diversities for each area were as follows: Noul park, 2.613; Hanul park, 2,301; Nanji-cheon, 2.228; and Pyeonghwa park, 2,019; and each season: summer, 2.652; spring, 2.650: winter, 2.561; and autumn 2.176. The diversity of species increased from 1.135 in 1994 to 2.324 in 2001. We recommended that the park be differented into different ecological areas in order to encourage the appearance of wild birds at the World Cup Park. The management area was divided into three districts(conservation area, preservation and restoration area, use area). The conservation area was established to the west of a waste landfill and in the downstream area of NanJi-cheon, the preservation and restoration area was established in the midstream area of Nanji-cheon, and the use area was established in the buffer zone of Pyeonghwa Park and the Nanji pond greenspace.

• Korea journal of population studies
• /
• v.24 no.1
• /
• pp.123-148
• /
• 2001

This study explores the factors affecting emotional support between aging parents and adult children living in separate households. With a social exchange perspective on intergenerational family relationship as theoretical framework, the effects of aging parents\` demographic characteristics, potential reward resources. and need for care were tested by analyzing data collected from 2.535 persons aged 65 and over in 9,355 sample households of \`National Survey of Living Status and Welfare Needs of the Elders-1998\`. The statistical analysis of 2,205 aging parents with adult children living in seperate households reveals that the aging parents who have potential reward resources are provided more emotional support by their children than the aging parents without resources are. Findings also show that the elders who live in same households with their own children, and need help from other people with instrumental activities of daily living obtain less emotional support from their children living in separate households. The empirical findings of this study support the social exchange perspectives on family ties between aging parents and adult children living in separate households. but only 8.9 per cents of variance in degree of emotional support is explained by the variables included in the model.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.34 no.4
• /
• pp.1105-1116
• /
• 2014

A stochastic rainfall model, NSRPM (Neyman-Scott Rectangular Pulse Model), is able to reflect the cluster characteristics of rainfall events which is unable in the RPM (Rectangular Pulse Model). Therefore NSRPM has advantage in the hydrological applications. The NSRPM consists of five model parameters and the parameters are estimated using optimization techniques such as DFP (Davidon-Fletcher-Powell) method and genetic algorithm. However the DFP method is very sensitive in initial values and is easily converge to local minimum. Also genetic algorithm has disadvantage of long computation time. Nelder-Mead method has several advantages of short computation time and no need of a proper initial value. In this study, the applicability of parameter estimation methods was evaluated using rainfall data of 59 national rainfall networks from 1973-2011. Overall results demonstrated that accuracy in parameter estimation is in the order of Nelder-Mead method, genetic algorithm, and DFP method.

• Journal of Cadastre & Land InformatiX
• /
• v.48 no.1
• /
• pp.169-186
• /
• 2018

The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.