Gyeongnam Development Institute
Gyeongnam Development Institute
Kim M.,Chonnam National University |
Yun H.,Gyeongnam Development Institute
Vegetation History and Archaeobotany | Year: 2011
Analysis of wood charcoal that was conducted as a part of an interdisciplinary project at Pyeonggeo-dong, a multi-period agricultural complex located in Jinju, South Korea, reveals oak (Quercus sp.) to be the most commonly encountered wood over the period of 4000-1500 cal. b. p. The charcoal data indicate that Quercus was one of the most abundant woody plants in the surrounding vegetation, although its dominance in the charcoal assemblage may partly represent preferential human selection in the past. The data suggest that Quercus-dominant forest declined with the growth of a secondary forest of Platycarya strobilacea around the site from about a. d. 300. This change postdates by more than a thousand years the earliest evidence of large-scale agriculture, which is visible in the form of carbonized crops and large tracts of prehistoric agricultural fields. A relatively large number of pit dwellings for the Three-Kingdoms period (ca. a. d. 300-500) at Pyeonggeo-dong suggests that this late sign of human impact on vegetation is related to the extension of agricultural fields to previously uncultivated hilly areas and/or increased needs for fuel and timber caused by high population density of the site. © 2010 Springer-Verlag.
Hwang J.Y.,Gyeongnam Development Institute |
Kim Y.D.,Inje University |
Kwon J.H.,Inje University |
Park J.H.,Inje University |
And 2 more authors.
KSCE Journal of Civil Engineering | Year: 2014
The Seonakdong River is an impound stream whose flowrate is controlled by the Daejeo and Noksan gates. Therefore, constant natural flow of the Seonakdong River does not occur. In contrast, pollutant loadings occur constantly occurring as water flows into the river from the watershed. The Daejeo gate is located at the upstream head and the Noksan gate is at the downstream end of the Seonakdong River. The Seonakdong River is an estuarine tributary of the Nakdong River. It is a reservoir-like river used for agricultural irrigation, with the Noksan gate at the river mouth serving to prevent the intrusion of saline water. In this study, a steadystate model, QUAL2E, and an unsteady-state model, CE-QUAL-RIV1, were chosen for comparative simulations. The results of the simulations of river water quality changes were verified with respect to short-term variations of water quality due to the increasing water flow from the Daejeo gate and the discharging flow from the Noksan gate. Field measurements were performed to monitor the flowrate and water quality during the operation of the Daejeo and Noksan gates in the Seonakdong River. The general trend observed is that the water quality worsens after the opening of the gates. The reduction in water quality ranges from 3% to 38%. These results show that the gate operators should carefully select the most appropriate operating plan to obtain better water quality in the Seonakdong River. The numerical simulation shows that a discharge of 300 CMS, which is a peak inflow from the Daejeo water gate to the river, can make it possible to achieve the target water quality of the Seonakdong River if the Daejeo water gate can remain open in connection with the Noksan water gate operation. © 2014 Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg.
Yamaguchi S.,National Institute of Mental Health |
Ling H.,Osaka Prefecture University |
Kim K.,Gyeongnam Development Institute |
Mino Y.,Mino Mental Health Center
International Journal of Culture and Mental Health | Year: 2014
There is great concern over stigmatisation amongst young people towards people with mental health problems. However, few studies have conducted international comparisons between young people living in Asian countries. This study investigated the knowledge and attitudes towards people with mental health problems in secondary school students in Osaka (Japan), Shenyang (China) and Busan (South-Korea) to determine which factors influence their understandings and attitudes towards people with mental health problems. The study included 380 participants from Osaka, 294 from Shenyang and 350 from Busan. A cross-sectional survey was conducted to assess knowledge and social distance towards people with mental health problems, as understandings and attitudes. Stigmatising knowledge and attitudes were held by students in Osaka, Shengyang and Busan. The students in Busan were more likely to give positive responses than those in Osaka and Shenyang. There was a relationship between students' knowledge and social distance in the three cities. Students' attitudes were associated with knowing someone with mental health problems in Osaka and Busan, but not in Shenyang. The results indicated that the students in the three cities have misunderstandings and stigmatising attitudes, although there are differences in the degree of stigmatisation and its factors. © 2013 © 2013 Taylor & Francis.
Kang M.H.,University of Arkansas at Little Rock |
Choi H.R.,Dong - A University |
Kim H.S.,Dong - A University |
Park B.J.,Gyeongnam Development Institute
Applied Intelligence | Year: 2012
Recently, the port logistics market is rapidly expanding, along with the active maritime trade. To adjust to this trend and gain a competitive advantage, competition among shipping companies at home and abroad has intensified, and many efforts are being made for the improvement of customer services and cost saving. In particular, car carriers transporting more than 80% of total car import/export volume must quickly make efforts to reduce transportation costs. Much research has been conducted to improve the efficiency of maritime transportation, but studies on car carriers, which are given relatively less importance, have been lacking. The car carrier's transportation planning is similar to the vehicle routing problem, but it is much more complicated in that cars and cargo are prepared at different points in time, and cargo can be loaded not only at the departing port but also at other ports. Therefore, in an effort to solve the problem, this study has developed a meta-heuristic algorithm based on a genetic algorithm, and we have succeeded in developing a maritime transportation planning support system with the algorithm, thus making it possible to prepare various alternatives, evaluate them, and consequently support user's decision making. © 2011 Springer-Verlag.
Kim J.Y.,Gyeongnam Development Institute |
Jeong H.C.,University of Suwon |
Kim H.,Southwest Research Institute |
Fisheries Research | Year: 2015
Japanese anchovies, Engraulis japonicus, have exhibited substantial fluctuations in production in Korean waters. Anchovy drag net and drift gillnet fisheries are the major types of fishery that target different sizes of anchovies during different fishing seasons. We analyzed the monthly catch per unit effort (CPUE) for 1987-2012 using exponential smoothing methods, seasonal autoregressive integrated moving average (SARIMA), autoregressive neural network (ANN), and autoregressive recurrent neural network (ARNN) models to forecast the abundance of anchovies based on the fishing conditions. For the drag net fisheries, SARIMA provided better statistical insight than the other models, but the ARNN model was best for future forecasting (r2=0.819, PI=0.733). Additive Winters' exponential smoothing (AWES) was the most effective of the three smoothing methods, but its validation was poor compared with SARIMA and the other neural network models. AWES, SARIMA, ANN and ARNN were less suitable for the drift gillnet fisheries. A comparison of the CPUE of drift gillnet fisheries to that of drag net fisheries showed that the data had been contaminated by factors such as periods when anchovy fishing was prohibited or a fishery had been abandoned due to economic reasons, rather than biological factors. Nevertheless, ARNN proved to be an effective and accurate model in the training phase, and its forecasts showed a comparatively strong statistical performance (r2=0.797, PI=0.662) in the context of short-to-medium-length time periods. Additionally, whereas SARIMA performed worse than ANN or ARNN, its forecasting capability was comparatively satisfactory (r2=0.713, PI=0.584). Finally, SARIMA has the advantage of providing statistical descriptions of the catches. © 2014 Elsevier B.V.