Korean Journal of Construction Engineering and Management
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v.17
no.5
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pp.71-77
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2016
Solar energy is a viable source to replace fossil fuels. However, challenges associated with site selection for solar panel installation inhibit the uptake of solar energy systems. Expressway slopes offer a potentially attractive alternative for solar panel installation for the following reasons: expressway slopes are vacant public sites, they are abundant (about 4,193km in South Korea), and they are linear in nature. Traditoinally when selecting sites for solar systems conventional surveying methods are employed. Unfortunately, these methods can be dangerous, time consuming, and labor intensive. To overcome these limitations of conventional site selection methodologies, we propose an automated approach using numerical maps. First, contour and expressway polylines are extracted separately from numeric maps. The extracted contour lines are then converted into a digital terrain model; this is used to calculate aspect and slope information. Next, the extracted expressway lines are projected onto a binary image and refined to recover the disconnections, and then applied to create a buffer zone to narrow the search space. Finally, all data sets are overlaid to identify candidate sites for solar panel systems and are visually verified through comparisons with aerial photos.
This study was conducted to evaluate nutritional status with the analysis of the factors which might influence on the prevalent condition of nutrients-intake. 373 persons who are above 60 years old in Chung-Gu, Seoul were surveyed from March 15 to March 30 in 1985. Results were as follows ; 1. General Characteristics 1) Male respondents among the entire respondents comprised 54.3% and female respondents comprised 45.7%. As for age, male and female respondents comprised 55.0% and 37.2% respectively. 2) As for the educational level of the respondents, illiteracy was 49.9% which was the highest. and those who graduated elementary school was 28.1% which was the second highest. And as for the comparison of the education of the male and female respondents, the educational level of male respondents was much higher than that of female respondents. 3) As for the final occupation of the respondents, those who were engaged in commerce comprised 30.8% which was the highest rate, and who were engaged in agriculture comprised 20.1% which was the second highest rate. And those who were engaged in labor comprised 12.3%. 2. The State of Nutrients-intake The energy of the male respondents was 61.4% of RDA and the protein was nothing but 66.8% of RDA. Except vitamin A, vitamin $B_1$ and niacin, calcium, iron, vitamin $B_2$, vitamin C were lower than RDA (the range: $67.5%{\sim}97.3%$). The energy of the female respondents was 70.0% of RDA and the protein was 58.8% which were lower than RDA. Except vitamin A and vitamin $B_1$, calcium, iron, vitamin $B_2$ vitamin C, niacin were lower than RDA (the range: $68.2%{\sim}98.9%$). 3. The various factors related to nutrients-intake 1) The composition of family and the food environment those who were living with their spouses comprised 44.8% which was the highest rate, and those who were living with their son's family comprised 33.5% which was the second highest rate and those who were living with their doughter's family comprised only 4.6%. Those who were living alone comprised 16.4%. The correlation with nutrient intake didn't show a clear relation. 2) Socio-economic state Those who said that they lacked in living expense comprised 32.7% and those who said that they lacked in pocket-money comprised 23.9%, The female respondents outnumbered the male respondents in lacking living expense or pocket-money. In the correlation with socio-economic, there was no striking relation with education level. However, it was shown that little relation in energy, fat in male and also fat and iron in female. The living expense and the satisfaction in pocket-money had also little relation with energy fat and vitamin C in male. 3) Nutrition knowledge and food habit (a) The state of nutrition knowledge and food habit In nutrition knowledge, those who scored less than 60 points were 32.9%, and those who scored more than 90 points were 21.0%. In food habit, those who scored less than 60 points were 26.5% and those who scored more than 80 points were 45%. (b) The corelation with nutrition knowledge and food habit In case of female respondents, nutrition knowledge had a little relation with the intake of cabohydrate, iron, and vitamin C. And we couldn't see a distinct phenomenon in food habit.
This study aims to provide power generating plants with eco-efficiency information. To implement the purposes, of study, both DEA(Data, Envelopment Analysis) model and interview were incorporated in terms of methodologies. To analyze the managerial efficiency, total labor cost and number of employees were considered as input factors. CO2, NOx, and water also were considered as input factors to analyze eco-efficiency. Both annual total power product and annual total revenue were used as output factors. CRS(Constant Return to Scale) and VRS(Variable Return to) model were facilitated in this analysis. According to the findings, most of the power plants were evaluated as 'Efficient'' taking into consideration of average value, both 0.928 from CCR model and 0.969 from VRS model. 7 DMUs including DMU3 and DMU12 are efficient out of 35 DMUs relatively, other DMUs are inefficient. For results of inefficient output factors distribution, it was found that inefficiency for NOx was marked relatively higher than CO2. In order to improve the eco-efficiency in the power plants in the long term, the target amount of Co2 as well as NOx reduction needs to be properly proposed in consideration of particularity of power plants. In the long run, renewable energy, alternative fuels should be adapted to reduce the eco-inefficient.
The Journal of the Convergence on Culture Technology
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v.4
no.2
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pp.197-204
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2018
One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.
Lee, Myeong Ho;Yu, Seon Cheol;Ahn, Jong Wook;Shin, Dong Bin
Journal of Korean Society for Geospatial Information Science
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v.24
no.4
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pp.47-58
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2016
The purpose of this study was to select the sectoral vulnerable areas index in welfare field and analyze the socially vulnerable areas from comprehensive analysis. For this study, preceding research and theoretical background were reviewed. Through this, we selected for the analysis index and criteria, and data corresponding to the index are collected. Based on the index and criteria, the data analysis was performed in Seoul Metropolitan City selected as the spatial extent of this study. From the results of analysis, the sectoral lower rank 10% of social vulnerable areas was determined. In addition, Junggu, Yongsangu, and Seodaemungu from the comprehensive analysis of individual vulnerable areas were derived as a final vulnerable areas. In particular, Junggu was weak in all sectors; Yongsangu was in the medical sector; and Seodaemungu was poor in housing and education. Lower vulnerability index of all sectors (energy, housing, medical, transportation, and education) in 1st, 2nd, and 3rd residential areas by examining use zoning was showed. From the results of this study, we can expect time and labor saving of policy support in public sector.
Single span pipe greenhouses (pipe houses) are widely used in Korea because these simple structures are suitable for construction by farmers thus reducing labor cost. However, these pipe houses are very weak and frequently damaged by heavy snow and strong wind. Pipe house is constructed by pipe fabricator, which is anchored to the ground by inserting each pipe end into ground to $30\sim40cm$, so the ground support condition of pipe end is not clear for theoretical analysis on greenhouse structure. This study was carried out to find out the suitable ground support condition needed f3r structural analysis when pipe house was designed. The snow and wind loading tests on the actual size pipe house were conducted to measure the collapsing shape, displacement and strain. The experimental results were compared with the structural analysis results for 4 different ground support conditions of pipe ends(fixed at ground surface, hinged at ground surface, fixed under ground and hinged under ground). The pipe house under snow load was collapsed at the eaves as predicted, and the actual strain at the windward eave and ground support under wind load was larger than that under snow load. The displacement was the largest at the hinged support under ground, followed by the hinged at ground surface, the fixed under ground and then the fixed at ground surface independent of displacement direction and experimental loading condition. The experimental results agreed most closely with the results of theoretical analysis at the fixed condition under ground among 4 different ground support conditions. As the results, it was recommended that the pipe end support condition of single span pipe greenhouse was the fixed under ground for structural analysis.
Journal of the Korean Society for information Management
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v.24
no.2
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pp.161-179
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2007
As increasingly diverse kinds of information materials are available on the Internet, it becomes a challenge to define an adequate level of metadata provision for each different type of material in the context of digital libraries. This study explores issues of metadata provision for a particular type of material, statistical tables. Statistical data always involves numbers and numeric values which should be interpreted with an understanding of underlying concepts and constructs. Because of the unique data characteristics, metadata in the statistical domain is essential not only for finding and discovering relevant data, but also for understanding and using the data found. However, in statistical metadata research, more emphasis has been put on the question of what metadata is necessary for processing the data and less on what metadata should be presented to users. In this study, a case study was conducted to gauge the status of metadata provision for statistical tables on the Internet. The websites of two federal statistical agencies in the United States were selected and a content analysis method was used for that purpose. The result showing insufficient and inconsistent provision of metadata demonstrate the need for more discussions on statistical metadata from the ordinary web users' perspective.
No-tillage direct seeding of rice is consumed less labor and oil energy by no plowing and rotary tillage. And it has other advantages of soil and water conservation and accumulation of organic matter on paddy surface due to crowded water foxtail (Alopecurus aequalis var. amurensis). When no-tillage seeding of rice, many water foxtail occurred in winter paddy field. In this experiment their covering degrees were 97.6% and 95.2% in clay loam and sandy loam paddy soils, respectively. Because of this, Stellaria alsine var. undulata, Cardamine flexuosa, Rorippa indica and Ixeris chinensis etc. annual and perennial wintering weeds occurrence was reduced. And annual weeds Chenopodium serotinum and Polygonum hydropiper that occurred early in spring were also reduced. As well as Echinochloa crusgalli var. praticola, Cyperus difformis, Monochoria vaginalis and Lindernia procumbens etc. summer annual weeds that occurred after irrigation were also reduced. In conclusion, no-tillage direct seeding of rice has another advantages of weed management by water foxtail.
EUM Ki-Hyuk;SON Ji-Ho;CHO Eun-Il;LEE Suk-Mo;PARK Chung-Kil
Korean Journal of Fisheries and Aquatic Sciences
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v.29
no.5
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pp.629-636
/
1996
The developments of mariculture fisheries depend on both the natural environmental inputs such as sun, rain, wind, tide and the economic inputs such as ships, fuels, facilities, labor. for the enhancement of mariculture productivity in Deukryang Bay, a new attempt has been made to connect the environmental resources and the economic activity within one system. This study applies EMERGY analysis that evaluates environmental energies, fuels, goods and services in terms of solar emjoelus. In total EMERGY use $(69.65\times10^{20}\;sej/yr)$ the natural environment inputs is $78\%\;(54.60\times10^{20}\;sej/yr)$. This means that the mariculture in Deukryang Bay depends on mainly environmental resources. Net EMERGY yield ratio was 4.63 which indicated high value as a resource, EMERGY investment ratio was 0.28 that means to gain 3.6 times energy from the natural environment than those of economy. If the fisherie's products are made by renewable EMERGY input to Deukryang Bay, the calculated carrying capacity of fishes, crustaceans, shellfish and seaweeds were 1,140, 110, 1,553 and 9,074 ton/yr, respectively. If the quantity of renewable EMERGY input to mariculture grounds in Deukrysng Bay was calculated-based on only shellfish product, shellfish products was estimated as about 1,195 ton/yr.
Journal of the Korea Academia-Industrial cooperation Society
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v.11
no.1
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pp.307-313
/
2010
Recently in Korea, or companies considering overseas expansion is often already begun. Past, enterprise's overseas economic cooperation fund(OECF) was consisted of overseas economic cooperation fund(OECF) of most large enterprise leading but medium and small enterprises as well as large enterprise is recognized for factor that competitive power security through overseas economic cooperation fund(OECF) is indispensable by economy opening Tuesday such as deregulation of great foreign enemy environment change and a technology and capital introduction. In the case of Korea, that advance of the China is going through bottleneck among by far bank Vietnam advance gradually expand. Therefore, in this study, I wished to quote plan for efficient and desirable Vietnam advance strategy establishment regarding our country enterprise's Vietnam advance through economy, politics, social environment analysis. In this study, can do on the basis of Vietnam advance connection domestic?outside literature investigation and virtue study through theoretical investigation according to these purpose and behaved theoretical investigation and lift construction materials allied industry, labor-intensive manufacturing industry, fisheries farm produce cultivation, processing household mascot etc. as energy industry, refined oil and petrochemical industry, electric-power industry, other field by our country medium and small enterprise.
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