• The Southeast Asian review
• /
• v.28 no.2
• /
• pp.47-84
• /
• 2018

Domestic debates on 'international development' has hitherto been rather more focused on the narrow topic of Official Development Assistance (ODA) - therefore, practical and practice-oriented enquiries for the former's effective implementation have dominated the field as a result. However, such lack of foundational debates on 'development' has rendered the field inept to respond to the rapidly changing development landscape since the new millennium both globally and in Southeast Asia. With this particular problematique in mind, the paper argues for the utility of critical Southeast Asian studies in enriching theoretical debates in Korea's international development studies. In doing so, we analysed the trend of academic research published since 2000, of which theme concern international development with a specific geographical focus on Southeast Asia. The result shows that such publication and the thematic issues have witnessed rapid quantitative growth since 2007 - while the nature of the publications still clearly remained practical and practice-oriented for effective execution of ODA. We therefore propose the critical Southeast Asian studies to overcome the problematique above by emphasising more inter-/multi-disciplinary approaches that challenge the hegemonic paradigm in the field.

• Journal of Wetlands Research
• /
• v.23 no.1
• /
• pp.67-73
• /
• 2021

As the impermeable area increases due to urbanization and industrialization, the influence of non-point pollutants caused by rainfall runoff on the water system is increasing. In the past, the best management practices(BMP) were used a lot to manage non-point pollutants, but recently, technology that naturally treats them through LID (Low Impact Development) technology is widely used. In this study, various rainfall events were simulated through the SWMM model based on the data of rainfall monitoring in bioretention among natural facilities. The characteristic of LID modeling research is that it is difficult to build accurate modeling data with short-term data because real data is the result obtained through natural facilities, and it is difficult to implement an accurate model. In this study, the data monitored for 3 years It is significant in that it has built a precise model. The actual data monitored a total of 18 times was simulated, and the inflow and outflow and the removal efficiency of five pollutants were simulated. As a result of performing the performance evaluation, most of the 7 items showed excellent indicators, and the TN and TP showed relatively low simulation performance. In the future, it is expected that Korea will introduce an integrated water management system in which the water supply system and the sewage system are substantially integrated and operated. Therefore, the results of this study are considered to play an important role in the initial stage of rainfall management in the future integrated water management system, and the extent of rainfall runoff reduction and pollutant reduction in the expected installation area can be predicted in advance. This is expected to prevent overdesign of bioretention.

• Journal of Marine Life Science
• /
• v.7 no.1
• /
• pp.29-36
• /
• 2022

Sea cucumber, Aposticopus japonicus, is a major invertebrate species in the coastal regions of Korea. To evaluate the short-term stress levels according to the releasing methods, this study investigated the gene expression profiles of heat shock protein 90 (HSP90) by real-time quantitative polymerase chain reaction. When the juvenile sea cucumbers were packed in the vinyl bag with oxygen followed by transportation for 30 min or air-exposed for 1 h, the HSP90 gene expression levels in the experimental groups were significantly increased compared to those of the control groups (transported group, p=0.001; air-exposed group, p=0.032). The experimental group at 6 h post-release by seed-spreading method and at 2~6 h post-release by underwater hose-releasing method on board a fishing boat showed that the levels of HSP90 gene expression were not statistically significant but decreased slightly compared to the control group (seed-spreading group, p=0.069; hose-releasing group, p=0.093). On the other hand, the HSP90 gene expression showed an increasing pattern as the time passed (~6 h) after underwater release of juvenile sea cucumbers by divers (p=0.061). These results suggest that HSP90 gene expression can be used to investigate short-term stress response and effective releasing methods of juvenile sea cucumbers.

• Korean Journal of Remote Sensing
• /
• v.38 no.3
• /
• pp.299-309
• /
• 2022

Recently, The sea water temperature around Korean Peninsula is steadily increasing. Water temperature changes not only affect the fishing ecosystem, but also are closely related to military operations in the sea. The purpose of this study is to suggest which model is more suitable for the field of water temperature prediction by attempting short-term water temperature prediction through various prediction models based on deep learning technology. The data used for prediction are water temperature data from the East Sea (Goseong, Yangyang, Gangneung, and Yeongdeok) from 2016 to 2020, which were observed through marine observation by the National Fisheries Research Institute. In addition, we use Long Short-Term Memory (LSTM), Bidirectional LSTM, and Gated Recurrent Unit (GRU) techniques that show excellent performance in predicting time series data as models for prediction. While the previous study used only LSTM, in this study, the prediction accuracy of each technique and the performance time were compared by applying various techniques in addition to LSTM. As a result of the study, it was confirmed that Bidirectional LSTM and GRU techniques had the least error between actual and predicted values at all observation points based on 1 hour prediction, and GRU was the fastest in learning time. Through this, it was confirmed that a method using Bidirectional LSTM was required for water temperature prediction to improve accuracy while reducing prediction errors. In areas that require real-time prediction in addition to accuracy, such as anti-submarine operations, it is judged that the method of using the GRU technique will be more appropriate.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.5
• /
• pp.13-24
• /
• 2022

SNS has become a very close service to our daily life. As marketing is done through SNS, places often called hot places are created, and users are flocking to these places. However, it is often crowded with a large number of people in a short period of time, resulting in a negative experience for both visitors and service providers. In order to improve this problem, it is necessary to recognize the congestion level, but the method to determine the congestion level in a specific area at an individual level is very limited. Therefore, in this study, we tried to propose a system that can identify the congestion level information and the characteristics of visitors to a specific tourist destination by using the data on the SNS. For this purpose, posting data uploaded by users and image analysis were used, and the performance of the proposed system was verified using the Naver DataLab system. As a result of comparative verification by selecting three places by type of tourist destination, the results calculated in this study and the congestion level provided by DataLab were found to be similar. In particular, this study is meaningful in that it provides a degree of congestion based on real data of users that is not dependent on a specific company or service.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.24 no.3
• /
• pp.179-189
• /
• 2022

Ice and water droplets rise and fall above the freezing altitude under the effects of strong updrafts and downdrafts, grow into hail, and then fall to the ground in the form of balls or irregular lumps of ice. Although such hail, which occurs in a local area within a short period of time, causes great damage to the agricultural and forestry sector, there is a paucity of domestic research toward predicting hail. The objective of this study was to introduce Land-Atmosphere Modeling Package (LAMP) hail prediction and measure its performance for 50 hail events that occurred from January 2020 to July 2021. In the study period, the frequency of occurrence was high during the spring and during afternoon hours. The average duration of hail was 15 min, and the average diameter of the hail was 1 cm. The results showed that LAMP predicted hail events with a detection rate of 70%. The hail prediction performance of LAMP deteriorated as the hail prediction time increased. The radar reflectivity of actual cases of hail indicated that the average maximum reflectivity was greater than 40 dBZ regardless of altitude. Approximately 50% of the hail events occurred when the reflectivity ranged from 30~50 dBZ. These results can be used to improve the hail prediction performance of LAMP in the future. Improved hail prediction performance through LAMP should lead to reduced economic losses caused by hail in the agricultural and forestry sector through preemptive measures such as net coverings.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.26 no.2
• /
• pp.96-109
• /
• 2021

Since terrestrial input plays a major role in coastal primary production, an understanding of land-ocean coupling (LOC) is key to understand coastal ecological changes. In this study, the LOC has been classified into three stages (i.e., the baseflow, plume event and residual flow). In order to characterize its pattern in Nakdong River estuary, multi-platform data were obtained from remote sensing (geostationary ocean color image (GOCI)), in-situ measurement (marine environment information system (MEIS)), on-site measurement (discharge data and meteorological data). The MEIS data were grouped into three stages of LOC using principal component analysis (PCA), and the LOC (2013 ~ 2018) was examined at each stage using multi-platform data. In the Nakdong River estuary, the maximum value of chlorophyll-a (chl-a) was unexpectedly appeared during the plume event. It is assumed that there was no significant increase in turbidity, expected during the typical plume event, together with the weak flushing effect, caused the enhanced phytoplankton growth. Compared with other estuaries, LOC is common in estuaries affected by freshwater inflow, but LOC has different pattern depending on the size of the plume. While estuaries that form small plumes of about 10 km (low freshwater discharge and weak flushing effect) observed high chl-a in the plume event because the phytoplankton can response to the increased nutrient more rapidly. estuaries that form large plumes of more than 100 km est (high freshwater discharge and strong flushing effect) follow the typical LOC pattern conceptualized in this study (high chl-a in the residual flow).

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.7
• /
• pp.1-15
• /
• 2021

With the prolonged COVID-19 pandemic situation, the attention on Metaverse has been soared throughout media and publications. Recently the entertainment industry is also changing to actively utilize the virtual world with artists working through Metaverse platforms. With the recent high interests on Metaverse, this study attempts to illuminate how the public perceives and accepts Metaverse experiences. While research on Metaverse has been mainly focused on specific technologies or technical objects, this study focuses on exploring how fans recognize and understand the concept of Metaverse through newly debuted idol group 'aespa', composing of 4 human members and 4 AI avatar members that integrate real and virtual world. For this, this study seeks to analyze the reaction and recognition of fans by exploring online community 'DC Inside'. As a result of analyzing the reactions of fans in the early days of aespa's debut, the perspectives of understanding AI members of aespa are categorized into three groups: first, the type of equating and accepting the real and the virtual world; second, the type of recognizing the real world and the virtual world separately and recognizing the virtual member as an avatar or concept, not a genuine member; and finally, a type of recognizing virtual worlds separately from reality. Based on these results, the implications that Metaverse contents may have in the entertainment industry are suggested.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.429-433
• /
• 2022

We analyzed both current local policies and in-depth survey data to find out a way to provide job opportunity and income source to local young people in so-called job guarantee system. The young generation in current Korean society has been experiencing both growth without employment and severe economic inequality at the same time, though they should have taken part actively in social development. Their rights for work and survival have also been threatened and losing hope for the future is an widespread symptom in this generation. Kwangju metropolitan city(KMC) has been supporting certain amount of case income and job experience to young people in Kwangju through a local government policy called Kwangju Young Generation Job Experience Dream Service. In spite of high level of satisfaction from the participants, limitations such as below average job performance level of participants and a barrier in the transition to regular position still remain. This study hopes that a case of Kwangju gives pragmatic insights for a realizable path to expanding universal welfare through assuring job opportunity to the young generation in local area.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.569-584
• /
• 2022

This study can be helpful in establishing and establishing company-wide marketing strategies from the supplier's point of view by analyzing the effects of rental service users' risk perception and service quality on customers' re-use intentions, and revealing differences according to demographic characteristics. It was intended to provide valid results. A total of 218 data were used as analysis data. Frequency, factor, mean, reliability and regression analysis, ANOVA, and t-test were performed through SPSS program (statistics). As a result of the study, first, as a result of analyzing the effect of risk perception on rental service quality, functional and psychological risks have a negative (-) effect on service quality. Second, in the relationship between service quality and re-use intention, the empathy factor has a high positive (+) effect, and as a result of analyzing the effect of risk perception on re-use intention, functional and psychological risk have the greatest influence, and financial Risk perception was also highly influential. In conclusion, the research results suggest that increasing the concentration of marketing strategies by reducing the negative (-) effect related to risk perception for short-term customers and housewives and enhancing the reliability and empathy for service quality can maximize the sales of suppliers.