Journal of the Korean Institute of Landscape Architecture
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v.43
no.2
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pp.114-124
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2015
In the city, the urban park contributes to the quality of citizen life in many ways, and the importance of the urban park as an urban planning facility is growing each day. In this study, evaluation of park service supply adequacy in Suwon-si, the difference in analysis methods, and the type of land use at urban park catchment area analysis were analyzed. As a result, there were remarkable differences between the two analysis methods. In Suwon-si, the catchment area by network analysis was only about 41% of catchment area by buffer analysis. However, when basic local authorities establish planning of parks and green areas, they use buffer analysis to calculate the park service area. It means that such calculations of urban park service areas may be wider than actually used. Also, because there were differences between urban park catchment areas by land use types, guidelines of planning parks and green areas will be adjusted. Although quantitative expansion of the park area is also important for the realization of green welfare, it is necessary to consider city characteristics such as the population size, population density, land use types, and so on.
Journal of the Korea Institute of Information and Communication Engineering
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v.15
no.2
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pp.413-418
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2011
The thermodynamic properties of steam table are obtained by measurement or approximate calculation under appropriate assumptions. Therefore they are supposed to have basic measurement errors. And thermodynamic properties should be modeled through function approximation for using in numerical analysis. In order to make noised thermodynamic properties corresponding to measurement errors, random numbers are generated, adjusted to appropriate magnitudes and added to original thermodynamic properties. Both neural networks and quadratic spline interpolation method are introduced for function approximation of these modified thermodynamic properties in the saturated water based on pressure and temperature. In analysis spline interpolation method gives much less relative errors than neural networks at both ends of data. Excluding the both ends of data, the relative errors of neural networks is generally within ${\pm}0.2%$ and those of spline interpolation method within ${\pm}0.5$~1.5%. This means that the neural networks give smaller relative errors compared with quadratic spline interpolation method within range of use. From this fact it was confirmed that the neural networks trace the original values better than the quadratic interpolation method and neural networks are more appropriate method in modelling the saturated steam table.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.2
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pp.698-705
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2014
R&D investment has rised in recent years. Korea's R&D budget is 43.8 trillion won which is 3.74% adjusted gross domestic product in 2010. Technological advances and technical inovation will bring productivity growth to Firm and Firm's productivity growth will increase GDP in sequence. Therefore the importance of study on the Firm's R&D industry is getting growing. In this study we attempt to analyse the economic impact of the Firm's R&D industry through several years using an inter-industry analysis. Specifically, this study analyze production-inducing effect, value added inducing effect, and employ-inducing effect based on demand-driven model. The analysed results of year from 1995 to 2009, the Firm's R&D investment increases production-inducing effect, value added inducing effect, and employ-inducing effect with the course of time. This means that influence of the Firm's R&D industry has increased.
Purpose - I analyzes risk-to-performance evaluated in the market using data from sale and lease back. Specifically, I analyze from the perspective of financial institutions that purchase sale and lease back based on the cases of investment by ship investment companies and acquisition of ships. Design/methodology/approach - I use 49 sale and lease back data from 2017 to 2019 for empirical analysis. Findings - The main results of this paper are as follows. First, after sale and lease back of domestic ships, the average amount of sales by the leased shipping company is 25.1 billion won, the average amount of investment by the purchased financial institution is 14.6 billion won (60%) and the average length of the ship is nine years. In ship finance, sale and lease back is deemed to be appropriately used as a means of restructuring for a large amount of money. Second, the main risk factor for sale and lease back of domestic ships is credit risk and can be measured in VaR in practice. As a result of the empirical analysis, the average credit risk burden ratio is 9%. As a major risk factor, low creditworthiness of restructuring companies is the key. Third, as a result of measuring the profitability of financial institutions that purchase sale and lease back of domestic ships at a net current price, it has an average value of 300 million won, but the deviation by case is very large. Fourth, the risk adjusted performance of sale and lease back of domestic ships is 0.54 on average compared to the total risk capital, and 0.52 compared to the stock-risk capital, and as with profitability earlier, the deviation of each case is very large and misaligned. In order to boost the sale and lease back market for large and long-term assets, in order to overcome low profitability as a prerequisite for future participation of commercial purchased financial institutions, it is expected that purchase decisions based on expectations versus risk will be necessary. Research implications or Originality - The results of this paper are expected to broaden the understanding of sale and lease back and foster the ability to assess long-term risk and performance. Based on this, it is believed that rapid restructuring of companies through sale and lease back of large amounts of long-term assets will greatly increase the utility of the domestic financial market.
This study analyzed the risk spillover of BDI on shipping company stock prices through the Copula-CoVaR method based on daily data from January 4, 2010, to October 31, 2022. The main empirical analysis results and policy implications are as follows. First, copula results showed that there was a weak dependence between BDI and shipping company stock prices, and PAN, KOR, and YEN were selected as the most fitting model for dynamic Student-t copula, HMM was selected as the rotated Gumbel copula, and KSS was selected as the best model. Second, in the results of CoVaR, it was confirmed that the upside (downside) CoVaR was significantly different from the upside (downside) VaR in all shipping companies. This means that BDI has a significant risk spillover on shipping companies. In addition, as for the risk spillover, the downside risk is generally lower than the upside risk, so the downside and upside risk spillover were found to be asymmetrical. Therefore, policymakers should strengthen external risk supervision and establish differentiated policies suitable for domestic conditions to prevent systematic risks from BDI shocks. And investors should reflect external risks from BDI fluctuations in their investment decisions and construct optimal investment portfolios to avoid risks. On the other hand, investors propose that the investment portfolio should be adjusted in consideration of the asymmetric characteristics of up and down risks when making investment decisions.
This study attempted to analyse the results of investments from each individual ship investment company(SIC) in Korea which is operating under its ship investment company system. We analyzed investment result of ship investment company by means of Market Adjusted Return Method for measurement of abnormal return(AR) and cumulative abnormal return(CAR). Some implications from the results of this study are suggested. First, we find that the initial abnormal return of IPO, 30-day CAR and long-term CAR are not significantly different between A and B shipping fund management company. And then, the initial abnormal return of IPO and long-term CAR are not significantly different between newbuilding and secondhand ship SIC. But the 30-day CAR is significantly different between newbuilding and secondhand vessel SIC. Third, the 30-day CAR and long-term CAR are not significantly different between newbuilding and secondhand vessel SIC. But the 30-day AR is not significantly different between container and non-container ship SIC. Finally, newbuilding ship SCI is more stable than secondhand vessel SIC, and container ship SIC is more stable than non-container ship SIC in 3-month cumulative return over the past two and half years, from February 2008 to July 2011.
Tae-Whan Park;Eun-Yeong Lee;Yeunhae Jung;Yu Min Son;Sang-Hyon Oh;Doo-Hwan Kim;Chul Young Lee;Seon-Tea Joo;Jae-Cheol Jang
Journal of Animal Science and Technology
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v.65
no.6
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pp.1242-1253
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2023
The present study aimed to investigate the feasibility of using a diet low in lysine content as a means for increasing the intramuscular fat (IMF) content and pork muscle quality of finishing pigs. Thirty-two crossbred gilts and barrows weighing approximately 80 kg were fed either a low-lysine diet (0.60%; Low-lys) or a control diet (0.80% lysine; Med-lys) under a 2 × 2 factorial arrangement of treatments. The animals were slaughtered at a 132-kg body weight (BW) on average, followed by physicochemical analyses and sensory evaluation on Longissimus lumborum (LL) and Semitendinosus (ST) muscles. The average daily gain (ADG) did not differ between the Med-lys and Low-lys groups. However, ADG exhibited a tendency of sex × diet interaction (p = 0.09), being greater for barrows vs. gilts on the Low-lys diet (p < 0.05), but not on the Med-lys diet. Backfat thickness adjusted for 132-kg BW also exhibited the interaction; it was greater for the Low-lys vs. Med-lys group within gilts but tended to be less for the former in barrows (p = 0.08). The IMF content was not influenced by the diet or sex in either LL or ST. The a*, b*, and Warner-Bratzler Shear Force values and fatty acid composition were influenced by the sex or diet in either or both of the muscles, but the treatment effects did not apparently influence the meat quality. Sensory scores for the flavor, juiciness, tenderness, umami, and palatability of cooked muscle were not influenced by the diet in either LL or ST. When the LL and ST data were pooled, scores for those sensory attributes were positively correlated with the IMF content, which was associated with overall greater IMF contents and greater sensory scores for ST vs. LL. Collectively, the Low-lysine diet seemingly elicited the intended lysine deficiency in gilts as indicated by the increased BFT due to the diet. However, the Low-lys diet was not effective for increasing the IMF deposition or eating quality of the pork muscle of finishing pigs slaughtered at high BW probably because its lysine content was not low enough to elicit either outcome.
In the newly encountered economy caused by the Corona virus Disease-19, remote transaction becomes a new normal that disrupt traditional economic order. In the middle of the disruption, mobile tech is placed and remote finance on mobile is highly noticed and considered as an infra-tech to support the new ecology, In mobile finance. remote payment is becoming the most common service and personal identification on it is critical to operate the new service. There are various means of remotely identifying a person. Recently the use of biometric information is increasing. In this study, a correlation analysis was conducted on factors that effects to biometrics usage and the intention to use in remote personal identification. Variables for critical factor in the remote identification were classified into 4 groups such as Performance expectancy, Effort expectancy, Social influence, and Security. The empirical analysis based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was conducted. The relationship between variables and the intention to use is also analyzed. In the study, stepwise regression analysis was conducted four times in which variables were adjusted in individual stage. As a result, the analysis suggests that performance expectancy, effort expectancy, social influence, security have positive effects for intention to use. Additionally, effort expectancy and security have moderating effects to intention to use depends on biometric authentication experience. The analysis has shown positive effect of variables grouped on the intention to use them. It also suggests that the intention to use biometric authentication will quickly grow. This study is expected to make a contribution to utilize and improve the use of biometric information in mobile payment.
The floristic target species (FTS) has been widely used as a important tool for environmental assessment in Korea. Here the floristic district is a key criterion for the selection and evaluation of FTS. The aim of this study is to clarify the intellectual meaning of the floristic district i.e. a sort of phytogeographical subunit. We reviewed 7 main literatures related to the floristic district. Nakai's 1919 Ulleungdo flora survey report was first to mention a region and/or province in terms of general geographical divisions. In 1977, the floristic district map of the Korea vascular plants was first described by Oh. In 1978, Lee & Yim proposed a new floristic district map dividing the central and southern regions, and the district boundaries have been adjusted by many other researchers. In the end, the floristic district map modified slightly from Lee & Yim's map was nationally recognized in 2018. However, the boundaries of floristic districts were inconsistent, both in their setting and adjustment, as well as the indicator species of the district. No basis for this inconsistency could be confirmed. We concluded that all district maps depend on arbitrary lines drawn a priori, and finally proposed the following two ecological strategies to ensure the effectiveness and practicality of the FTS as a scientific means for environmental impact assessment and national flora evaluation: (i) designing to achieve the flora list and the floristic district based on nativeness of plant distribution, (ii) constructing a habitat-based floral monitoring system.
The purpose of this study is to develop indoor air quality management strategies regarding indoor air pollutants while considering various factors affecting indoor pollutants concentration. The Integrated Indoor Air Quality model(IIAQ) developed by Seoul National University is used for this study. The IIAQ model is a tool that can provide an integrated view to indoor environmental pollution by simulating suggested scenarios. The results of the modeling are used to assess health risk. The concentrations that are used for the risk characterization are weighted concentrations based on the period of time in each place and existing Indoor Air Quality(IAQ) standards. The estimated concentration of toluene and formaldehyde for 10 years through the IIAQ model was 207.3 $ug/m^3$ and 36.4 $ug/m^3$ in indoors, and 55.9 $ug/m^3$ and 8.62 $ug/m^3$ in outdoors. These concentrations are lower than the existing IAQ standards. The estimated carcinogenic risk of formaldehyde is up to 1.05E-03 for the adult male group and exceeds 1E-06 for all receptor groups. This value means that cancer could affect one person out of 1000. The estimated non-carcinogenic risk of toluene was lower than 1, which means that there was no serious non- carcinogenic risk. The result of modeling shows that using low emitting indoor sources is the most effective strategy for both formaldehyde and toluene. This risk assessment suggests that the total exposure levels of existing IAQ standards may cause serious carcinogenic risk. In order to avoid uncontrolled risk, it is suggested that the current IAQ standards should be adjusted by taking into account the total amount of exposure from all exposure pathways from indoor and outdoor sources.
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