• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.236-241
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• 2023

Water quality problems in rivers, lakes, and estuaries have become serious in Korea. In order to overcome eutrophication of freshwater lakes and river basins, systematic management of water quality is necessary. To manage water quality in freshwater lakes and basins, apply hydrological models suitable for the basin and water quality models such as rivers and lakes to reduce water pollution based on the prediction results of these models. Improvement measures must be presented. In order to apply appropriate water pollution improvement measures in the watershed, accurate pollution sources must be identified and pollution loads must be predicted and presented. Based on GIS, the connection between the pollutant database and the hydrological and water quality prediction model will be integrated based on spatial location, making it possible to provide systematic support to improve watershed water quality by comprehensively including the water quality modeling process. In this paper, in order to accurately predict water pollution in freshwater lakes and river basins, a water quality model system is established using GIS-based spatial information to present a comprehensive water quality management method for freshwater lake basins in the future, and to systematically manage pollution sources through water quality modeling. This study was conducted to easily and efficiently operate hydrological and water quality models using automated spatial information.

• Journal of the Korea Organic Resources Recycling Association
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• v.18 no.2
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• pp.55-61
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• 2010

This study was carried out to analyze national and regional distribution of the organic wastes generation and build their distribution maps including food wastes, paper and wood wastes, wastewater and slaughterhouse wastes. The information for the annual waste production was modified using statistics from Ministry of Environment (MOE). Based on waste generation resources data, we established database architecture table about waste generation. The distribution maps for food wastes were built up in both national and regional scales and distribution maps for paper and wood wastes, wastewater and slaughterhouse wastes were also produced, respectively. The distribution maps of waste generation graphically provide the information regarding biomass resources to policy-makers, farmers, general users and it is highly expected to be utilized for policy-making of environmental-friendly agriculture and bioenergy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.173-182
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• 2024

In recent, there has been a trend toward primarily utilizing data-driven models employing artificial intelligence technologies, such as machine learning, for flood prediction. These data-driven models offer the advantage of utilizing pre-training results, significantly reducing the required simulation time. However, it remains that a considerable amount of flood data is necessary for the pre-training in data-driven models, while the available observed data for application is often insufficient. As an alternative, validated simulation results from physically-based models are being employed as pre-training data alongside observed data. In this context, we developed a flood mapping accelerator to generate flood maps for pre-training. The proposed accelerator automates the entire process of flood mapping, i.e., estimating flood discharge using HEC-1, calculating water surface levels using HEC-RAS, simulating channel overflow and generating flood maps using RAS Mapper. With the accelerator, users can easily prepare a database for pre-training of data-driven models from hundreds to tens of thousands of rainfall scenarios. It includes various convenient menus containing a Graphic User Interface(GUI), and its practical applicability has been validated across 26 test-beds.

• Journal of the Korea Society for Simulation
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• v.33 no.3
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• pp.13-26
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• 2024

The CBRN(Chemical, Biological, Radiological, and Nuclear) hazard prediction model is a system that supports commanders in making better decisions by creating contamination distribution and damage prediction areas based on the weapons used, terrain, and weather information in the events of biochemical and radiological accidents. NBC_RAMS(Nuclear, Biological and Chemical Reporting And Modeling S/W System) developed by ADD (Agency for Defense Development) is used not only supporting for decision making plan for various military operations and exercises but also for post analyzing CBRN related events. With the NBC_RAMS's core engine, we introduced a CBR hazard assessment scenario analysis system that can generate contaminant distribution prediction results reflecting various CBR scenarios, and described how to apply it in specific purposes in terms of input information, meteorological data, land data with land coverage and DEM, and building data with pologon form. As a practical use case, a technology development case is addressed that tracks the origin location of contaminant source with artificial intelligence and a technology that selects the optimal location of a CBR detection sensor with score data by analyzing large amounts of data generated using the CBRN scenario analysis system. Through this system, it is possible to generate AI-specialized CBRN related to training and analysis data and support planning of operation and exercise by predicting battle field.

• Cartoon and Animation Studies
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• s.37
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• pp.159-195
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• 2014

An animation film, , is a work that declared a perfect revival of Disney. It is considered that the success was the result of its impressive theme song and characters working influentially. The main characters let audience experience empathy as well as catharsis by building the image of women making their own future without relying on men, and among the characters, Elsa is still popular even if one year has passed since its premiere in Korea. In the narrative genre, the character's degree of completion is regarded to be so important that it can even determine the work's success or failure. Accordingly, to analyze the personality structure among the major components of character rising, this study focuses on the psychodynamics of fear and desire which determines the directions of thought or behavior. Fear is the emotion attributed not to a real threat but to an ominous assumption about the future. Because fear that is originated from the memory of any deficit or suppression distorts our sound needs, escaping from fear means facing the reality. To verify the unique psychodynamics of the characters, the researcher analyzed the hierarchy of their attitudes, psychological dispositions, and psychic functions by using 'MBTI Personality Typology'. According to the results, (1) Elsa and Anna are in a conflicting relationship in terms of psychic functions. Although they are the combination that shows the highest possibility of conflict, the two sisters overcome it basically grounded on fellowship and family love. (2) Although Hans and Kristoff, too, are against each other in terms of psychic functions, the two male characters do not interact with each other in the work. (3) Hans is a person equipped with psychic functions that can complement both Elsa and Anna the most effectively, but he abuses it and turns into the most fatal opponent to them. (4) Olaf is a type of person combining Anna's attitudes with Elsa's psychological dispositions. And according to the results of analyzing the frequency of expressing fear and desire, (1) Elsa employs overwhelming fear and Anna and others characters use desire as the major drive of their behavior. (2) Fear is the underlying deficit internalized in every character and is attributed to 'the deficit of family love', and as a result, they all share the pain of 'loneliness and isolation'. It is thought that analyzing psychodynamics will help us understand the character's growth tale, that is, the narration that they distort their desire for the first motive to avoid fear and end up being ruled by it, and also, they realize the underlying reason for the distorted desire in the process of getting rid of their own fear and reach self-healing. Lastly, regarding character rising in the animation, it is expected that the directions and analysis results of this research will be referred to as a database in creating characters and setting up relations among them.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.3
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• pp.263-268
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• 2009

The Yellow Sea is extremely important to the economy and to the health and well-being of surrounding countries, Korea and China. Recently, the Yellow Sea is under constantly increasing threat of degradation due to the increase of environmental pollution and over-fishing. The governments of Korea and China have been aware of the importance of the Yellow Sea and reached an Environmental Agreement between Korea and China at the governmental level(November, 1993) According to this environmental agreement the Yellow Sea Environmental Cooperative Research between Korea and China has been undertaken since 1997. The joint cruise had been conducted once a year at 33 stations in the 4 lines of the Yellow Sea where the 9 stations of the D line was newly added in the 7th cruise in 2003. The samples were analyzed by scientists of both countries at the WSFRI, Korea and the OEMNC of the SEPA, China in turn, the annual report has been published every year during 1998-2008. The scientific efforts to fix the cruise time in October and to extend research frequency, as twice a year, should be considered, and this requires the governmental supports such as research funds and other related administrational assistance on both sides. Finally, scientists should also pay a concentrated attention to standardize the analytical methods including quality control and to improve this Yellow Sea research as one of the most representative international projects in the Yellow Sea where sharing additional informations available, if exist of dumping sites and material content, and of the freshwater quality will be of great help to broaden the output of this joint research project.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.469-478
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• 2003

Internet information search engines using web robots visit servers conneted to the Internet periodically or non-periodically. They extract and classify data collected according to their own method and construct their database, which are the basis of web information search engines. There procedure are repeated very frequently on the Web. Many search engine sites operate this processing strategically to become popular interneet portal sites which provede users ways how to information on the web. Web search engine contacts to thousands of thousands web servers and maintains its existed databases and navigates to get data about newly connected web servers. But these jobs are decided and conducted by search engines. They run web robots to collect data from web servers without knowledge on the states of web servers. Each search engine issues lots of requests and receives responses from web servers. This is one cause to increase internet traffic on the web. If each web server notify web robots about summary on its public documents and then each web robot runs collecting operations using this summary to the corresponding documents on the web servers, the unnecessary internet traffic is eliminated and also the accuracy of data on search engines will become higher. And the processing overhead concerned with web related jobs on web servers and search engines will become lower. In this paper, a monitoring system on the web server is designed and implemented, which monitors states of documents on the web server and summarizes changes of modified documents and sends the summary information to web robots which want to get documents from the web server. And an efficient web robot on the web search engine is also designed and implemented, which uses the notified summary and gets corresponding documents from the web servers and extracts index and updates its databases.

• Korean Journal of Food Science and Technology
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• v.52 no.1
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• pp.1-10
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• 2020

The present study identified the restrictions on the use of sous-vide products in the Korean HMR market for small and medium-sized manufacturing companies. A detailed literature review revealed that the HMR market in Korea is close to saturation. Notably, the technologically advanced products produced using sous-vide seem to display significant potential to overcome market saturation. The sous-vide method differs from conventional cooking techniques and is characterized by maintenance of food texture along with flavor enhancement. However, due to the unfamiliarity of the manufacturers with this method and the unclear food safety regulations, mass food manufacturing companies do not agree on using this method; hence, sous-vide production is usually undertaken by small/medium sized companies catering primarily through online marketing portals. This study highlights the various restrictions to the implementation of sous-vide production, and discusses several practical implications of sous-vide production that would help users of this technique enter the HMR market.

• Journal of Environmental Policy
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• v.12 no.3
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• pp.21-47
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• 2013

The aim is to analysis landslide vulnerability in Inje, Korea, using GCI(Geospatial Correlative Integration) and probability rainfalls based on geographic information system (GIS). In order to achieve this goal, identified indicators influencing landslides based on literature review. We include indicators of exposure to climate(rainfall probability), sensitivity(slope, aspect, curvature, geology, topography, soil drainage, soil material, soil thickness and soil texture) and adaptive capacity(timber diameter, timber type, timber density and timber age). All data were collected, processed, and compiled in a spatial database using GIS. Karisan-ri that had experienced 470 landslides by Typhoon Ewinia in 2006 was selected for analysis and verification. The 50% of landslide data were randomly selected to use as training data, while the other 50% being used for verification. The probability of landslides for target years (1 year, 3 years, 10 years, 50 years, and 100 years) was calculated assuming that landslides are triggered by 3-day cumulative rainfalls of 449 mm. Results show that number of slope has comparatively strong influence on landslide damage. And inclination of $25{\sim}30^{\circ}C$, the highest correlation landslide. Improved previous landslide vulnerability methodology by adopting GCI. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing landslide mitigation policies.

• Journal of Nutrition and Health
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• v.47 no.4
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• pp.268-276
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• 2014

Purpose: The aim of this study is to estimate total sugar intake and identify major food sources of total sugar intake in the diet of the Korean population. Methods: Dietary intake data of 33,745 subjects aged one year and over from the KNHANES 2008-2011 were used in the analysis. Information on dietary intake was obtained by one day 24-hour recall method in KNHANES. A database for total sugar content of foods reported in the KNHANES was established using Release 25 of the U.S. Department of Agriculture National Nutrient Database for Standard Reference, a total sugar database from the Ministry of Food and Drug Safety, and information from nutrition labeling of processed foods. With this database, total sugar intake of each subject was estimated from dietary intake data using SAS. Results: Mean total sugar intake of Koreans was 61.4 g/person/day, corresponding to 12.8% of total daily energy intake. More than half of this amount (35.0 g/day, 7.1% of daily energy intake) was from processed foods. The top five processed food sources of total sugar intake for Koreans were granulated sugar, carbonated beverages, coffee, breads, and fruit and vegetable drinks. Compared to other age groups, total sugar intake of adolescents and young adults was much higher (12 to 18 yrs, 69.6 g/day and 19 to 29 yrs, 68.4 g/day) with higher beverage intake that beverage-driven sugar amounted up to 25% of total sugar intake. Conclusion: This study revealed that more elaborated and customized measures are needed for control of sugar intake of different subpopulation groups, even though current total sugar intake of Koreans was within the range (10-20% of daily energy intake) recommended by Dietary Reference Intakes for Koreans. In addition, development of a more reliable database on total sugar and added sugar content of foods commonly consumed by Koreans is warranted.