• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.486-486
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• 2018

During the post green revolution era, wheat and rice were the main crops of concern to cater the food security issues of Pakistan. The use of semi dwarf high yielding varieties along with extensive use of fertilizers and surface and ground water lead to substantial increase in crop production. However, the higher crop productivity came at the cost of over exploitation of the precious land and water resources, which ultimately has resulted in the dwindling production rates, loss of soil fertility, and qualitative and quantitative deterioration of both surface and ground water bodies. Recently, during the past two decades, severe climate changes are further pushing the Pakistan's wheat-rice system towards its limits. This necessitates a careful analysis of the current crop water requirements and water footprints (both green and blue) to project the future trends under the most likely climate change phenomenon. This was done by using the FAO developed CROPWAT model v 8.0, coupled with the statistically-downscaled climate projections from the 8 Global Circulation Models (GCMs), for the two future time slices, 2030s (2021-2050) and 2060s (2051-2080), under the two Representative Concentration Pathways (RCPs): 4.5 and 8.5. The wheat-rice production system of Punjab, Pakistan was considered as a case study in exploration of how the changing climate might influence the crop water requirements and water footprints of the two major crops. Under the worst, most likely future scenario of temperature rise and rainfall reduction, the crop water requirements and water footprints, especially blue, increased, owing to the elevated irrigation demands originating from the accelerated evapotranspiration rates. A probable increase in rainfall as envisaged by some GCMs may partly alleviate the adverse impacts of the temperature rise but the higher uncertainties associated with the predicated rainfall patterns is worth considering before reaching a final conclusion. The total water footprints were continuously increasing implying that future climate would profoundly influence the crop evapotranspiration demands. The results highlighted the significance of the irrigation water availability in order to sustain and improve the wheat-rice production system of Punjab, Pakistan.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.693-703
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• 2019

Long-term coastal topographical data is critical for analyzing temporal and spatial changes in shorelines. Especially understanding the change trends is essential for future coastal management. For this research, in the data preparation, we obtained digital aerial images, terrestrial laser scanning data and UAV images in the year of 2009. 2018 and 2019 respectively. Also tidal observation data obtained by the Korea Hydrographic and Oceanographic Agency were used for Bangamoeri beach located in Ansan, Gyeonggi-do. In the process of it, we applied the photogrammetric technique to extract the coastline of 4.40 m from the stereo images of 2009 by stereoscopic viewing. In 2018, digital elevation model was generated by using the raw data obtained from the laser scanner and the corresponding shoreline was semi-automatically extracted. In 2019, a digital elevation model was generated from the drone images to extract the coastline. Finally the change rate of shorelines was calculated using Digital Shoreline Analysis System. Also qualitative analysis was presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.244-244
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• 2015

Managed Aquifer Recharge (MAR) in the form of Aquifer Storage and Recovery (ASR) systems are being applied for numerous water augmentation projects both in developed and developing countries. Given the onset of Climate Change and its influence on weather patterns and land use, it has been acknowledged the utilization of this technology will be ever increasing. This technique like all others does have its drawbacks or disadvantages, whereby to overcome these drawbacks or disadvantages it is recommended that logical planning process be followed. In this study, we developed a decision framework known as "Decision framework for the planning, designing, construction/testing and implementation of subsurface water storage system" to further standardize the planning and design process of subsurface water storage system to increase the probability of having a successful ASR/ASTR project. The formulation of this framework was based on earlier frameworks, guidelines, published papers and technical reports which were compiled into a data collection database. The database of which consider both qualitative and quantitative aspect for example recharge objectives, site location, water chemistry of the native, source and recovered water, aquifer characteristics(hydraulic conductivity, transmissivity, porosity), injection/pumping rate, ecological constraints, societal restrictions, regulatory restrictions etc. The assimilation of these factors into a singular framework will benefit the broad spectrum of stakeholder as it maps the chronological order under which ASR project should be undertaken highlighting at each stage the feasibility of the project. The final stage of which should result in fully operational ASR system. The framework was applied to two case studies and through the application of a modified ASR site selection suitability index (Brown et al., 2005) a score was derived to identify the performance of each site. A high score of which meant a maximize chance of success given the reduce presence of project constraints.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.139-154
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• 2016

The port incentive scheme currently implemented in various Korean ports is used as a marketing tool to increase price competitiveness. Typically, ports implement piecemeal imitation strategies to enhance their competitiveness, rather than a precisely designed system. A precise analysis of the effectiveness of a port's system and scheme redesign are lacking because budget allocation is done without input from customers and freight groups. This study models the incentives faced by ports using a linear programming model. We use the Gwangyang port as the base case. Our analysis of the Gwangyang port reveals that there are insufficient incentives implemented when a traditional qualitative analysis is used. We also identify any excess, deficiency, or absence of the incentive effect for each type of customer and freight group. We find the overall budget of the incentive scheme to be more rational when ports allocate funds to minimize port mileage, and allocate 61.77 percent and 38.23 percent of the budget on existing and new (or increased) cargo inventory, respectively. Future studies can build on our work by further considering basic inputs, and by adding a system to estimate the input data of our model to identify constraints and thus provide a more accurate incentive scheme.

• The Korean Journal of Archival Studies
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• no.29
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• pp.79-127
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• 2011

This study was designed for a theoretical and methodological discussion on a methodological medium, orality to historicize the 'Civilian Massacre', of countless counter-memories which are inherent in Korean society. In other words, prior to collection of oral sources, it is to produce reliable oral history through a discussion on oral history research methodology and qualitative research methodology of oral history, after theorizing occurrence process of dominant-memory and counter-memory, orality's meanings as a counter-memory and the necessity for historicization of neglected memories, focusing on a 'memory' which is a fundamental background of an 'oral' act. Based on this basic process, oral recording process was performed in Changsoo-myeon, Yeongdeok-gun, Kyung-book Province where was selected as a research target for the civilian massacre that is a case to figure out what kind of high-quality record is produced, with a precise understanding of a particular methodology, oral history.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.873-882
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• 2021

The study investigates the key factors that affect the adoption of the International Financial Reporting Standards (IFRS) by companies listed on Ho Chi Minh Stock Exchange (HOSE) in Vietnam. The factors that are studied in this research include total debt-to-equity ratio, firm size, return-on-equity ratio, audit quality, foreign investment, and financial institution category. The authors have utilized quantitative and qualitative analyses in combination with a logistics regression model and other available analytical tools for conducting the research. All statistics processed in the paper were based on 379 audited financial statements issued in 2018. The results reveal that factors like firm size, return on equity (ROE), audit quality, foreign investment, and financial institution category positively affect the IFRS adoption of HOSE-listed companies, while total debt-to-equity ratio negatively impacts the adoption. The findings suggest Vietnamese law and policy-makers, when promoting the adoption of IFRS by listed companies, should focus more on five variables with positive influence and they can disregard the total debt-to-equity ratio that is insignificant as a factor affecting the adoption of IFRS. This implication could be applied for other firms in Vietnam and for enterprises in other countries, which are in the same stage of IFRS application.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.47-53
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• 2021

With increasing interest in the 4th industrial revolution, data-driven scientific methodologies have developed. However, there are limitations of data collection in the real estate field of research. In addition, as the public becomes more knowledgeable about the real estate market, the qualitative sentiment comes to play a bigger role in the real estate market. Therefore, we propose a method to collect quantitative data that reflects sentiment using text mining and k-means algorithms, rather than the existing source data, and to predict the direction of housing index through artificial neural network learning based on the collected data. Data from 2012 to 2019 is set as the training period and 2020 as the prediction period. It is expected that this study will contribute to the utilization of scientific methods such as artificial neural networks rather than the use of the classical methodology for real estate market participants in their decision making process.

• The Mathematical Education
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• v.60 no.3
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• pp.341-362
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• 2021

The purpose of this study is to explore the qualitative characteristics of pre-service teachers' motivation while they are participating in group activities for developing mathematical essay assessment problem and revising it. For this purpose, we analyzed individual factors about group learning activities as well as contextual factors about practical competency (in developing and revising mathematical essay assessment problem through collecting data of student responses to the problem). As results of data analyses, autonomy, among individual factors regarding group learning activities, was one of the main characteristics in attainment value, utility value, and intrinsic value, whereas task, authority, and grouping, among contextual factors regarding practical competency, appeared to have a positive impact on task value. These results suggest how to think of specific ideas and articulate them in designing a curriculum to develop student-evaluation expertise for pre-service teachers.

• Journal of Hospice and Palliative Care
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• v.24 no.4
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• pp.214-225
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• 2021

Purpose: This study reviewed screening and assessment tools that are used to measure delirium in patients with cancer in hospice and palliative care settings and examined their psychometric properties. Methods: Four databases were searched for studies using related search terms (delirium, tools, palliative care, cancer, and others). The inclusion criteria were a) studies that included screening/assessment tools for measuring delirium in cancer patients receiving hospice/palliative care, and b) studies published in English or Korean. The exclusion criteria were a) studies that were conducted in an intensive care setting, and b) case studies, qualitative studies, systematic reviews, or meta-analyses. Results: Out of the 81 studies identified, only 10 examined the psychometric properties of tools for measuring delirium, and 8 tools were ultimately identified. The psychometric properties of the Memorial Delirium Assessment Scale (MDAS) were the most frequently examined (n=5), and the MDAS showed good reliability, concurrent validity, and diagnostic accuracy. The Delirium Rating Scale had good reliability and diagnostic accuracy. The Delirium Rating Scale-Revised 98 also showed good reliability and structural validity, but its diagnostic performance was not examined in hospice/palliative care settings. The Nursing Delirium Screening Scale showed relatively low diagnostic accuracy. Conclusion: The MDAS showed evidence of being a valid assessment tool for assessing delirium in patients with cancer in palliative care. Few studies examined the diagnostic performance of delirium tools. Therefore, further studies are needed to examine the diagnostic performance of screening/assessment tools for the optimal detection of delirium in patients with cancer in hospice/palliative care.

• Journal of People, Plants, and Environment
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• v.23 no.6
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• pp.589-602
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• 2020

Background and objective: There are many theories related to the development of agrotourism, and each stakeholder has its own role and function. If it is based on organizational functions, stakeholders need to be coordinated, and the state plays a major administrative role. But in the successful case of Yeongdong County, Chungcheongbuk province, the Republic of Korea, the government played an important role in the development of tourism, which grants us another perspective on the role of the government in promotion and development agrotourism activities. Methods: This article aims to examine the development of agrotourism through a cooperative approach, by clarifying the role of the local authorities in the Yeongdong region in the management and operation of the local agrotourism activities. The qualitative research method is based on a field survey conducted in Yeongdong County in 2019. Results: The study's findings show that in situations where conflicts of interest among stakeholders are prone to occur, the development of local tourism has a limited impact on the cooperative culture, and local governments play an important role. Accordingly, the local governments must actively formulate strategies to maintain and develop traditional agricultural industries and at the same time develop agrotourism activities. The government's ability to coordinate, cooperate, and participate reasonably is a key factor for the success of the sustainable development of the tourism industry. Conclusion: Based on coordination between stakeholders and a reasonable strategic direction, Yeongdong's agrotourism is being effectively deployed. The development of Yeongdong's agrotourism industry has achieved impressive results through an effective strategy, highlighting the important role of localgovernment in the consensus of local communities and collaboration with stakeholders. The role of outstanding local governments has been clearly demonstrated, especially in promoting, establishing, and contacting different organizations to effectively deploy agrotourism in the region.