• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.3
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• pp.131-146
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• 2011

This dissertation analyzed the satisfaction of corrective counseling programs for Korean domestic violence offenders. I conducted a survey of Korean domestic violence offenders scattered throughout the country. The survey period was between Mar Feb. 20, 2006 and Apr. 29, 2006. The specific objects of the survey are the 250 domestic violence offenders who got counseling in the Goyang branch office of the Justice Ministry-affiliated Uijeongbu Probation & Parole Center, Ansan Citizen Welfare Society's domestic violence counseling center, Korea Domestic Violence Counseling Center Association, Korea Women's Hot Line, Korea Family Law Counseling Center and its branch offices throughout the country, and the counseling centers commissioned by the court for domestic violence offenders. The study was based on a poll on 182 of the 250 offenders. The research result includes: First, the satisfaction of corrective counseling programs for offenders varies depending upon the age, educational background, location, job, income, and childhood abuse of offenders. In particular, the less experience of childhood abuse leads to greater effect of education. Second, of the types of corrective counseling programs for offenders, the satisfaction for those in couple counseling is the greatest. This is because couple counseling is more influential than individual in the professional education that helps to share and understand couple problems.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.69-76
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• 2021

Recentlly neural network approach for solving a singular perturbed integro-differential boundary value problem have been researched. Especially the model of the feed-forward neural network to be trained by the back propagation algorithm with various learning algorithms were theoretically substantiated, and neural network models such as deep learning, transfer learning, federated learning are very rapidly evolving. The purpose of this paper is to study the approaching method for developing a neural network model with high accuracy and speed for solving singular perturbed problem along with asymptotic methods. In this paper, we propose a method that the simulation for the difference between result value of singular perturbed problem and unperturbed problem by using neural network approach equation. Also, we showed the efficiency of the neural network approach. As a result, the contribution of this paper is to show the possibility of simple neural network approach for singular perturbed problem solution efficiently.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.436-438
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• 2022

National Research Data Commons aims to build a system that can be used jointly by arranging analysis resources such as computing infrastructure, software, toolkit, API, and services used for data analysis together with research data to maximize the use of research data. do. The sharing and utilization system for publications and research data in the R&D process is well known. However, the environment in which data and tightly coupled software and computing infrastructure can be shared and utilized is insignificant and there is no management system. In this study, a data model is designed to systematically manage information on digital research resources required in the data-oriented R&D research process. This will be used to register and manage digital research resource information in the National Research Data Commons Service.

• Tunnel and Underground Space
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• v.32 no.6
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• pp.568-585
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• 2022

In the present study, we proposed a numerical method for simulating thermally induced fracture slip using a grain-based distinct element model (GBDEM). As a part of DECOVALEX-2023, the thermo-mechanical loading test on a saw-cut rock fracture conducted at the Korea Institute of Civil Engineering and Building Technology was simulated. In the numerical model, the rock sample including a saw-cut fracture was represented as a group of random Voronoi polyhedra. Then, the coupled thermo-mechanical behavior of grains and their interfaces was calculated using 3DEC. The key concerns focused on the temperature evolution, thermally induced principal stress increment, and fracture normal and shear displacements under thermo-mechanical loading. The comparisons between laboratory experimental results and the numerical results revealed that the numerical model reasonably captured the heat transfer and heat loss characteristics of the rock specimen, the horizontal stress increment due to constrained displacement, and the progressive shear failure of the fracture. However, the onset of the fracture slip and the magnitudes of stress increment and fracture displacement showed discrepancies between the numerical and experimental results. We expect the numerical model to be enhanced by continuing collaboration and interaction with other research teams of DECOVALEX-2023 Task G and validated in further study.

• Journal of Agricultural Extension & Community Development
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• v.8 no.1
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• pp.59-72
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• 2001

이 연구는 1990년대 이후 헝가리 농촌지도의 특징적인 변화를 고찰하였다. 헝가리의 농촌지도사업은 오랜 역사를 가지고 있으며 주로 대규모 농장을 대상으로 한 농업기술전파에 주력하였다. 1990년대 이후 사유재산의 인정과 시장경제체제로의 전환과 함께 시장에서의 경쟁력이나 지속성에 대한 요구는 농촌지도사업의 방향전환을 요구하게 되었다. 유럽연합의 농업정보시스템 표준화에 요구와 헝가리 내의 농산업구조의 변화는 농업정보시스템 구축의 필요성을 낳게 되었다. 헝가리에서 농업정보시스템의 개발은 농업경제연구정보원(AKII, Research and Information Institute for Agricultural Economics)과 중앙통계사무소(Hungarian Central Statistical Office)에서 이루어졌다. 시스템 개발의 주요 분야는 농업통계, 농장회계자료네트웍, 시장정보시스템의 세 가지이며 이들의 복합적인 농업정보시스템으로 형성되었다. 본 연구에서는 위의 세 가지 주요 범주의 개발배경과 진행사항, 문제점들을 살펴보고 개선방향을 제시하였다. 헝가리 농업 농촌개발부(The Ministry of Agriculture and Rural Development)의 최근 정책의 특징은 전국적인 농촌지도상담 네트웍의 구축이라고 할 수 있다. 현재의 헝가리 농촌지도사업체계는 크게 세 부분으로 나누어 볼 수 있다. 첫째 농업농촌개발부의 군사무소는 지역사회의 독농가나 선도농가와의 밀접한 관계를 유지하며, 이러한 독농가나 선도농가로 하여금 지역의 농민들에게 도움을 줄 수 있도록 하는 것이다. 둘째는 민간 자문가들이 농장을 방문하여 현장에서 농민들에게 전문적인 도움을 주도록 하는 것이다. 민간 자문가들은 도 단위의 전문지도사들로부터 정보나 기술에 대한 전문적인 도움을 받는다. 세 번째는 전문교육기관을 통한 농민들에 대한 직접적인 교육이다. 이러한 교육들은 농민들에게 무료로 제공되며, 교육과정이나 프리젠테이션, 전시 등을 통해 이루어진다. 현재 헝가리 농촌지도체계는 그 실행과정, 효율성, 조직적인 면에서 완성되지 못하였고 전환기에 처해 있다. 효율적인 농촌개발을 위해서는 농촌지도상담의 효과나 조직면에서 많은 연구와 정비가 필요한데 이는 헝가리의 국가적 이익의 증대와 유럽연합의 목적에 부합하기 위해서도 적극적인 관심과 노력을 필요로 하는 분야이다. 이러한 필요성을 바탕으로 농촌지도사업의 새로운 모델을 제시하면, (1) 수도인 부다페스트에 농촌지도사업을 전반적으로 책임지는 중앙부서를 설립하여 효과적인 농촌발전을 지원하여, (2) 7개의 도에 농학계 대학과 연구소를 중심으로 하는 지역센터를 설립하여 도내의 농촌지도상담활동과 영농에서 농업관련 사안에 대해 문제해결 중심의 도움을 주도록 하며, 지역센터는 자율적, 독립적으로 운영하도록 하고, (3) 50여개의 군에 일선지도기관을 설립하여 농업인들이 쉽게 방문할 수 있도록 하며, 지역의 특수한 상황이나 사안에 대해 융통성 있게 대처할 수 있도록 하는 것이다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.735-747
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• 2023

In recent times, the sharp increase in extreme flood damages due to climate change has posed a challenge to effectively address flood-related issues solely relying on conventional flood management infrastructure. In response to this problem, this study aims to consider the effectiveness of nature-based flood management approaches, specifically levee retreat and relocation. To achieve this, we utilized a 1D numerical model, HEC-RAS, to analyze the flood reduction effects concerning floodwater levels, flow velocities, and time-dependent responses to a 100-year frequency flood event. The analysis results revealed that the effect of creating a flood buffer zone of the nature-based solution extends from upstream to downstream, reducing flood water levels by up to 30 cm. The selection of the flow roughness coefficient in consideration of the nature-based flood buffer space creation characteristics should be based on precise criteria and scientific evidence because it is sensitive to the flood control effect analysis results. Notably, floodwater levels increased in some expanded floodplain sections, and the reduction in flow velocities varied depending on the ratio of the expanded cross-sectional area. In conclusion, levee retreat and floodplain expansion are viable nature-based alternatives for effective flood management. However, a comprehensive design approach is essential considering flood control effects, flow velocity reduction, and the timing of peak water levels. This study offers insights into addressing the challenges of climate-induced extreme flooding and advancing flood management strategies.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.38 no.3
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• pp.219-224
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• 2012

European Union prohibited the marketing of cosmetic products containing constituents that have been examined through animal experiments. Thus, non-animal test models are needed to replace animal experiments. The reconstructed skin models are important as a test system for cosmetic, pharmaceutical, and medical device safety testing. In the present study, we tried to develop an optimal skin equivalent model containing basement membrane and epidermis. For this purpose, we used mesenchymal stem cells (MSCs) and/or preadipocytes as well as fibroblasts as the dermal matrix cells. The formation of basement membrane and epidermis was verified by immunohistochemical stains. Among various models, the epidermis was thickest when MSCs were used in the dermal matrix. Furthermore, PCNA and involucrin distribution showed that dermal matrix with MSCs resembled human skin. Therefore, skin equivalents with MSCs could be developed as a non-animal test model to replace animal experiments.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.416-429
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• 2018

Typhoons and floods are natural disasters that occur frequently, and the damage resulting from these disasters must be in advance predicted to establish appropriate responses. Direct damages such as building collapse, human casualties, and loss of farms and fields have more attention from people than indirect damages such as increase of consumer prices. But indirect damages also need to be considered for living. The agricultural products are typical consumer items affected by typhoons and floods. Sudden, powerful typhoons are mostly accompanied by heavy rains and damage agricultural products; this increases the retail price of such products. This study analyzes the influence of natural disasters on the price of agricultural products by using a deep learning algorithm. We decided rice, onion, green onion, spinach, and zucchini as target agricultural products, and used data on variables that influence the price of agricultural products to create a model that predicts the price of agricultural products. The result shows that the model's accuracy was about 0.069 measured by RMSE, which means that it could explain the changes in agricultural product prices. The accurate prediction on the price of agricultural products can be utilized by the government to respond natural disasters by controling amount of supplying agricultural products.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.35-43
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• 2021

Citrus quality is generally determined by its sugar content and acidity. In particular, sugar content is a very important factor because it determines the taste of citrus. Currently, the most commonly used method of measuring citrus sugar content in farms is a portable juiced sugar meter and a non-destructive sugar meter. This method can be easily measured by individuals, but the accuracy of the sugar content is inferior to that of the citrus NongHyup official machine. In particular, there is an error difference of 0.5 Brix or more, which is still insufficient for use in the field. Therefore, in this paper, we propose an AI model that predicts the citrus sugar content of unmeasured days within the error range of 0.5 Brix or less based on the previously collected citrus sugar content and meteorological data (average temperature, humidity, rainfall, solar radiation, and average wind speed). In addition, it was confirmed that the prediction model proposed through performance evaluation had an mean absolute error of 0.1154 for Seongsan area and 0.1983 for the Hawon area in Jeju Island. Lastly, the proposed model supports an error difference of less than 0.5 Brix and is a technology that supports predictive measurement, so it is expected that its usability will be highly progressive.

• Clean Technology
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• v.30 no.1
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• pp.37-46
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• 2024

Environmental problems caused by plastic waste have been continuously growing around the world, and plastic waste is increasing even faster after COVID-19. In particular, PP and PE account for more than half of all plastic production, and the amount of waste from these two materials is at a serious level. As a result, researchers are searching for an alternative method to plastic recycling, and plastic pyrolysis is one such alternative. In this paper, a numerical study was conducted on the pyrolysis behavior of non-condensable gas to predict the chemical reaction behavior of the pyrolysis gas. Based on gas products estimated from preceding literature, the behavior of non-condensable gas was analyzed according to temperature and residence time. Numerical analysis showed that as the temperature and residence time increased, the production of H₂ and heavy hydrocarbons increased through the conversion of the non-condensable gas, and at the same time, the CH₄ and C₆H₆ species decreased by participating in the reaction. In addition, analysis of the production rate showed that the decomposition reaction of C₂H₄ was the dominant reaction for H₂ generation. Also, it was found that more H₂ was produced by PE with higher C₂H₄ contents. As a future work, an experiment is needed to confirm how to increase the conversion rate of H₂ and carbon in plastics through the various operating conditions derived from this study's numerical analysis results.