• Journal of Wetlands Research
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• v.17 no.2
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• pp.130-138
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• 2015

According to the "Safety Evaluation Detailed Instructions (Dam)", a precise safety inspection is carried out for dams that exceed a certain scale. However, as the Hydrological Safety Evaluation from various evaluation standards is designed to evaluate the safety of existing dams considering PMF(Probable Maximum Flood), the evaluation is much less applicable for most agricultural reservoirs. Therefore, the Hydrological Safety Guidelines for agricultural reservoirs are expected to be re-evaluated considering the diverse risk factors with the coefficient model and AHP(Analytic Hierarchy Process) in this study. The coefficient model has been developed by selecting the hydrological safety superordinate subordinate evaluation factors to reflect diverse risk factors of agricultural reservoirs. This study indicated that in the short term, improving the safety check condition evaluation grade will be useful to improve the hydrological safety of the agricultural reservoir because it can be performed immediately.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.2
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• pp.13-23
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• 2016

Many traffic centers are highly hesitant in employing existing Automatic Incident Detection Algorithms due to high false alarm rate, low detection rate, and enormous effort taken in maintaining algorithm parameters, together with complex algorithm structure and filtering/smoothing process. Concerns grow over the situation particularly in Freeway Incident Management Area This study proposes a new algorithm and introduces a novel concept, the Displaced Flow Index (DiFI) which is similar to a product of relative speed and relative occupancy for every execution period. The algorithm structure is very simple, also easy to understand with minimum parameters, and could use raw data without any additional pre-processing. To evaluate the performance of the DiFI algorithm, validation test on the algorithm has been conducted using detector data taken from Naebu Expressway in Seoul and following transferability tests with Gyeongbu Expressway detector data. Performance test has utilized many indices such as DR, FAR, MTTD (Mean Time To Detect), CR (Classification Rate), CI (Composite Index) and PI (Performance Index). It was found that the DR is up to 100%, the MTTD is a little over 1.0 minutes, and the FAR is as low as 2.99%. This newly designed algorithm seems promising and outperformed SAO and most popular AIDAs such as APID and DELOS, and showed the best performance in every category.

• Cross-Cultural Studies
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• v.44
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• pp.373-391
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• 2016

Since the 2000's, interest toward Africa in Korea has increased rapidly. Korea's interest in Africa began in the second half of the 1960's. However, this interest in the 1960's was motivated by political and diplomatic necessity at the time rather than the needs of indigenous groups in Africa. Korea had to oppose North Korea's diplomatic expansion in Africa to gain the support of international organizations like the United Nations. This interest in Africa motivated by diplomatic needs vanished quickly after the end of the cold war in the 1990's. Authentic Korean interest in Africa began to emerge in the 2000's. Korea's rising international status based on economic development led to a natural interest in Africa, which was the last frontier on earth. As a result, African studies in Korea increased significantly after 2010. The increase in the number of theses, articles and books was remarkable from 2010-2016, in comparison with 1957-2010. In spite of the increase in the quantity of thesis, articles, and books, the problem with Korea's African studies is above all, its preponderance. Over 75% of thesis and 70% of articles are concentrated in the domain of politics and economics. This reflects the fact that Korea's interest in Africa is based on short term political and economic interest, indicating that Korea's African studies did not deviate from the rudimentary phase in its quantity and quality. Another problem with Korea's African studies is the lack of integration of different types of research. African studies in Korea has three components, government funded research centers, university laboratories and individual researchers. The government funded research centers focus on the overview of African nations and their political and economic information. University laboratories mainly perform research on the theoretical aspects of politics, economics, human sciences and culture in Africa. Individual researchers are concerned with various categories. However, these three groups have failed to achieve a synergic effect on African studies in Korea and most of the research on Africa does not extend beyond each academic area. To overcome this problem, first of all, a live exchange may be necessary between domestic researchers.

• Journal of Forest and Environmental Science
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• v.27 no.2
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• pp.101-111
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• 2011

The Returning Land for Farming to Forestry Project in China is similar to the 'The 10-year National Greening Project' of Korea, and is one of the great strategic policies that started in order to develop the people, resources and the environment by the central government of China. Using the ecosystem recovery as the slogan, The Returning Land for Farming to Forestry Project of China has a long history of 70 years, but the accomplishments has been insignificant when compared to the long history. The Returning Land for Farming to Forestry Project was not a trend due to the societal and economical issues of China, but with the increasing interest on the environmental protection in the late 1990s the extent of the ecosystem is gradually increasing. The most difficult, yet most important matter of the Returning Land for Farming to Forestry Project, is that it must consider the ecosystem with the economy. The farmers want financial gains in a short term, and the government aims is gaining cost-benefit over a long period which is why a rational the Returning Land for Farming to Forestry Project of the central government in China is most important. In order for the Returning Land for Farming to Forestry Project of China to develop further in the future, the standardization and distinction of the economic compensation policy is most urgent. Other than this, a new policy and the government interest on the livelihood of the farmers after the completion of the Returning Land for Farming to Forestry Project are needed, and there must be a clear and fair policy enactment environment so that the opinions of the farmers can influence the policy in the policy enactments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.545-553
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• 2021

The frequency by water disaster in urban areas are increasing continuously due to climate change and urbanization. Countermeasures are being conducted to reduce the damage caused by water disasters. An analysis based on permeability, one of the parameters that affect runoff, is needed to predict quantitative runoff in urban watersheds and study runoff reduction. In this study, the SWAT model was simulated for the oncheon stream basin, a representative urban stream in Busan. The permeability map was prepared by calculating the CN values for each hydrologic response unit. Based on the permeability map prepared, EPA SWMM analyzed the effect of LID technology application on the water cycle in the basin for short-term rainfall events. The LID element technology applied to the oncheon stream basin was rooftop greening in the residential complex, and waterproof packaging was installed on the road. The land cover status of the land selected based on the permeability map and the application of LID technology reduced the outflow rate, peak flow rate, and outflow rate and increased the infiltration. Hence, LID technology has a positive effect on the water cycle in an urban basin.

• Phonetics and Speech Sciences
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• v.11 no.3
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• pp.77-87
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• 2019

The study aimed to develop Speech Range Profile (SRP) and to examine and validate its clinical application. Forty-five participants without voice disorders aged 18-29 years were compared using SRP and Voice Range Profile (VRP). The authors developed the "Fire!" paragraph as a SRP task compromising 14 sentences including all Korean spoken phonemes and sentence types. To compare SRP and VRP results, the participants read the paragraph (reading) and counted from 21 to 30 (counting) as a part of SRP tasks, and produced a vowel /a/ from low to high frequencies (gliding) and a shortened form of the VRP as a part of VRP tasks. $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, $I_{min}$, and $I_{range}$ for each task were measured and compared, showing that $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, and $I_{range}$ were not different between reading and gliding. $I_{min}$, had the lowest value in counting. It is concluded that the newly developed SRP task, reading the "Fire" paragraph, can yield a maximum phonation range similar to that found by VRP. Therefore, it is expected that voice evaluation can be effectively performed in a relatively short time by applying SRP with the "Fire" paragraph, a functional utterance task, in place of VRP, which may be difficult to measure long term or in cases of severe voice disorders.

• The Journal of Bigdata
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• v.3 no.2
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• pp.59-70
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• 2018

In order to provide stable district heat supplying service to the certain limited residential area, it is the most important to forecast the short-term future demand more accurately and produce and supply heat in efficient way. However, it is very difficult to develop a universal heat demand forecasting model that can be applied to general situations because the factors affecting the heat consumption are very diverse and the consumption patterns are changed according to individual consumers and regional characteristics. In particular, considering all of the various variables that can affect heat demand does not help improve performance in terms of accuracy and versatility. Therefore, this study aims to develop a demand forecasting model using deep learning based on only limited information that can be acquired in real time. A demand forecasting model was developed by learning the artificial neural network of the Tensorflow using past data consisting only of the outdoor temperature of the area and date as input variables. The performance of the proposed model was evaluated by comparing the accuracy of demand predicted with the previous regression model. The proposed heat demand forecasting model in this research showed that it is possible to enhance the accuracy using only limited variables which can be secured in real time. For the demand forecasting in a certain region, the proposed model can be customized by adding some features which can reflect the regional characteristics.

• Journal of Legislation Research
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• no.44
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• pp.155-184
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• 2013

This study takes a critical perspective that current vertical regulatory framework for broadcasting, telecommunications, films and games cannot cope with media development in the age of convergence. Changes in media environment mitigate the uniqueness of terrestrial television causing doubts as to why television contents should be treated more strictly than the rest of media contents. Consensus is being reached that horizontal regulation would be the appropriate regulatory measure for media contents. However, which content should be aligned to what level of regulations have not been fully dealt with. The paper shows that the current regulatory framework which is established according to each delivery platform is no longer valid in convergent media environment. It shows why all content regulation should be applied in platform neutral manner. Then it also suggests both short and long term regulatory changes that need to be made in order to meet the future challenges in media convergence era.

• The Journal of Bigdata
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• v.5 no.2
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• pp.17-27
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• 2020

District heating system supplies heat from low-cost high-efficiency heat production facilities to heat demand areas through a heat pipe network. For efficient heat supply system operation, it is important to accurately predict the heat demand within the region and optimize the heat production plan accordingly. In this study, a heat demand forecasting model is proposed considering real-time calorimeter information from local heat demands. Previous models considered ambient temperature and heat demand history data to predict future heat demands. To improve forecast accuracy, the proposed heat demand forecast model added big data from real-time calorimeters installed in the heat demands within the target region. By employing calorimeter information directly in the model, it is expected that the proposed forecast model is to reflect heat use pattern of each demand. Computational experiemtns based on the actual heat demand data shows that the forecast accuracy of the proposed model improved when the calorimeter big data is reflected.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.117-129
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• 2021

Nowadays, the trend of early childhood education has focused on finding educational activities to enhance quality of learning with integrative, learner-centered experience by combining each subject and domain. Pre-service early childhood teacher's music drama activity is a sort of integrated education including literature, instrumental music, play, art and movement that are included in the culture and art for preschoolers to help them understand role and value of the art and directly influence personality and creativity and motive to arouse interest in various learning directly. It's expected to see that development of creative teaching plan for the music drama using piano ensemble could support basic research in integrated educational activity in the teacher training course and also, activate the music drama activity. Research findings and suggestion are as follows. First, the music drama activities are systematically and step-by-step implemented according to the audience according to the cooperative learning and creative plans of pre-service early childhood teachers. Second, if understanding characteristics of casts in the music drama and assigning their roles efficiently, it enhances approach of pre-service early childhood teacher music drama activity and activate it. Third, making music in music drama activities can be composed and arranged to suit the musical literacy and level of pre-service early childhood teacher. Fourth, pre-service early childhood teachers could have integrated experience and evaluation efficiently in the short term to use as reference for the teaching plan and data for the music drama.