• Korean Journal of Poultry Science
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• v.21 no.1
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• pp.21-34
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• 1994

The objective of this study was to develop a user-friendly computer model for economic analysis on the commercial egg production that could help the egg farmer make managerial diagnosis and rational decision in the changing environment. To raise the adequacy of the model, the program was run for every sample and adjusted to fit the data. The model, programmed with Microsoft QuickBASIC, was a user-friendly computer program in supporting the Korean language. The basic analytical tool used in the study was an engineering-type computerized simulation model which incorporates a cost-benefit analysis of a full-time egg farmer. The computer model developed in this study may be the powerful analytical tool used to evaluate both a managerial decision whether to alter the production system and its impact on production, costs, revenue, and profits. Ultimately, the program is expected to enable the egg farmer to make managerial planning and diagnosis. The program can also calculate the values of economic variables at user-chosen incremental values of market eggs and feed prices. It provides the information on the profit and cost. This may lead the egg farmer, by allowing to establish the best managerial strategy, to increase the profit aor to lessen the cost. The results of this study could be utilized in the evaluation and improvement of the management. It also may be utilized for the researchers and guiding farmers in collecting and analyzing the data on the laying hen. In particular, such a program would be potentially useful to researchers who wish to quickly estimate profits associated with various laying hen treatments. The program could also benefit the egg farmer interested in making managerial decisions based on either current or predicted market conditions. The model would make the egg farmer respond actively to the information-oriented society by promoting to use personal computer.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.41 no.1
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• pp.35-46
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• 2023

This study investigated and analyzed ancient records on the type, planting background, and construction process of Gwanbang forest(關防林) planned for military defense during the Joseon Dynasty to find out the purpose, location, and planting species of Gwanbang forest. The research results were as follows. During the Joseon Dynasty, Gwanbang forests were created around various government facilities(關防施設), such as Eupseong(邑城), major government offices, camps, and fortifications, for the purpose of defending against enemies. Gwanbang forest includes Yeongaeglim(嶺阨林), which was created on the crest of a strategically important hill, and Military Forest created for military purposes. Most of the spirit forest was designated as Geumsan(禁山) and protected and managed, and the Gwanbang forest was created for various purposes such as shielding, flood damage and river bank erosion prevention as well as external defense. In addition, in order to continuously and efficiently produce wood, which is a material for ships, buildings, and agricultural tools, in most cases, large areas were created as mixed forests. As for the species constituting the Gwanbang forest, there are records of tangerine tree, which is effective for defense because it has thorns, and deciduous broad-leaved trees such as zelkova, elm, willow, david hemiptelea, and oak appear. In the case of Ganghwa island, which served as the defense of the capital and the royal family during the Joseon Dynasty, several records have confirmed that a forest densely planted with trifoliate orange was created for the purpose of Gwanbang forest to reinforce the defense of the outer fortress. Based on historical research in the literature, assuming that the natural monument 'Gapgotri tangerine tree in Ganghwa Island' was planted in the 30th year of King Sukjong(1704), the first record of planting trifoliate orange in Ganghwa Island, the maximum age is estimated to be more than 319 years.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.107-122
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• 2017

Volatility in the stock market returns is a measure of investment risk. It plays a central role in portfolio optimization, asset pricing and risk management as well as most theoretical financial models. Engle(1982) presented a pioneering paper on the stock market volatility that explains the time-variant characteristics embedded in the stock market return volatility. His model, Autoregressive Conditional Heteroscedasticity (ARCH), was generalized by Bollerslev(1986) as GARCH models. Empirical studies have shown that GARCH models describes well the fat-tailed return distributions and volatility clustering phenomenon appearing in stock prices. The parameters of the GARCH models are generally estimated by the maximum likelihood estimation (MLE) based on the standard normal density. But, since 1987 Black Monday, the stock market prices have become very complex and shown a lot of noisy terms. Recent studies start to apply artificial intelligent approach in estimating the GARCH parameters as a substitute for the MLE. The paper presents SVR-based GARCH process and compares with MLE-based GARCH process to estimate the parameters of GARCH models which are known to well forecast stock market volatility. Kernel functions used in SVR estimation process are linear, polynomial and radial. We analyzed the suggested models with KOSPI 200 Index. This index is constituted by 200 blue chip stocks listed in the Korea Exchange. We sampled KOSPI 200 daily closing values from 2010 to 2015. Sample observations are 1487 days. We used 1187 days to train the suggested GARCH models and the remaining 300 days were used as testing data. First, symmetric and asymmetric GARCH models are estimated by MLE. We forecasted KOSPI 200 Index return volatility and the statistical metric MSE shows better results for the asymmetric GARCH models such as E-GARCH or GJR-GARCH. This is consistent with the documented non-normal return distribution characteristics with fat-tail and leptokurtosis. Compared with MLE estimation process, SVR-based GARCH models outperform the MLE methodology in KOSPI 200 Index return volatility forecasting. Polynomial kernel function shows exceptionally lower forecasting accuracy. We suggested Intelligent Volatility Trading System (IVTS) that utilizes the forecasted volatility results. IVTS entry rules are as follows. If forecasted tomorrow volatility will increase then buy volatility today. If forecasted tomorrow volatility will decrease then sell volatility today. If forecasted volatility direction does not change we hold the existing buy or sell positions. IVTS is assumed to buy and sell historical volatility values. This is somewhat unreal because we cannot trade historical volatility values themselves. But our simulation results are meaningful since the Korea Exchange introduced volatility futures contract that traders can trade since November 2014. The trading systems with SVR-based GARCH models show higher returns than MLE-based GARCH in the testing period. And trading profitable percentages of MLE-based GARCH IVTS models range from 47.5% to 50.0%, trading profitable percentages of SVR-based GARCH IVTS models range from 51.8% to 59.7%. MLE-based symmetric S-GARCH shows +150.2% return and SVR-based symmetric S-GARCH shows +526.4% return. MLE-based asymmetric E-GARCH shows -72% return and SVR-based asymmetric E-GARCH shows +245.6% return. MLE-based asymmetric GJR-GARCH shows -98.7% return and SVR-based asymmetric GJR-GARCH shows +126.3% return. Linear kernel function shows higher trading returns than radial kernel function. Best performance of SVR-based IVTS is +526.4% and that of MLE-based IVTS is +150.2%. SVR-based GARCH IVTS shows higher trading frequency. This study has some limitations. Our models are solely based on SVR. Other artificial intelligence models are needed to search for better performance. We do not consider costs incurred in the trading process including brokerage commissions and slippage costs. IVTS trading performance is unreal since we use historical volatility values as trading objects. The exact forecasting of stock market volatility is essential in the real trading as well as asset pricing models. Further studies on other machine learning-based GARCH models can give better information for the stock market investors.

• Animal Systematics, Evolution and Diversity
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• v.7 no.1
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• pp.151-176
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• 1991

The arthropods are the most diverse and successful animal group making up more than three quarters of the total animal species. They also live in a great diversity of habitats on the earth. Because of these unavoidable circumstances, the human life has always been affected by them. Therefore, in many countries from the past, governments have supported the studies of the arthropods on the basis of the national policy. However, the present situation of ours is far behind the other advanced contries, Now we urgently need governmental support fro the development of both the basic and the applied fields of arthropod studies in the well organized manner. Facing with this necessity, the present article reviewed the studies of Korean arthopods based on insect and crustacean representing most of the arthopods. Several subjects were reviewed in the section of the past and present studies on Korean arthropods. These are the studies on Korean arthropods in the past and present, their application to the national strategy, and the present condition of curating specimens, etc. From these reviews, several important points were suggested in the section of future plan. These are such subjects as the establishment of national institution for the curation of specimens , computerizing the data, diversification of research techniques, valid strategy concerning the control of harmful contribution to the nature conversation and environmental management , use as a research animal, the enhancement of public welfare, training of specialists, and policies for the national programs.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.397-407
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• 2014

Due to rapid development of medical information, a huge amount of information is being accumulated. Desires to conduct clinical researches by using this information are increasing, and medical institutions are encountering problems of aging society and drastic increase of medical expenses. Utilization of Big Data as an alternative is now being emphasized. The purpose of this study is to examine informatization of medical institutions and suggest political implications for Big Data utilization plans. Data was collected through literature searches and interviews with medical information professionals of medical institutions, from September to November, 2013, for four months. As a result of the study, it could be found that the hospital information system is improving from patient management and administration to researches and information strategies. Thus, national supports for medical expense reduction as well as fostering professional manpower should be provided, considering establishment of the system for utilization of Big Data and efficient application of unstructured data.

• Physical Therapy Korea
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• v.4 no.2
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• pp.89-99
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• 1997

임상 결과의 측정에서 새로운 관점을 갖는 것은 중요하다. 의료 재활은 심리적 측정의 질들(표준화, 신뢰도, 타당도)에서 충분한 노력에 수행되어지지 않아 왔기 때문에 환자와 프로그램 사이에 일반화된 기능적인 평가 범위가 부족하다. 장애의 적절한 측정을 위한 요구는 기능적인 상태에서 변화들을 알리고 치료의 필요성을 평가하고 치료를 계획하고 결과를 예측하고 보상 방법을 측정하기 위한 환자의 치료와 임상 연구에서 모두 나타난다. 세계적으로 사용되어지고 있는 기능 평가 도구인 FIM으로부터 이 연구는 신체적 측정의 기대되어진 것에 유사한 비율로 기능적 평가 측정들을 구성한다. 노인 재활에서 기능적인 결과의 측정은 중요한 몇 가지 점이 있다. 첫째는 접근에 기초한 기능적인 결과는 치료 목표 설정에 필요하다. 둘째는 도구는 기능적인 향상을 예상하는데 유용해야 한다. 셋째는 기능 평가는 적절한 타당도와 신뢰도와 함께 고려되어져야만 한다. 넷째는 다른 기능적 도구들이 함께 평가되어져야 할 필요가 있다는 것이다. FIM의 목록의 어려운 접들은 손상을 입은 집단에서는 다소 다양하다. 가장 중요한 부분이기 때문에 하나의 운동범위는 요통과 화상을 입은 환자를 제외한 모든 손상을 입은 집단들에게 적용되어 질 수 있다. 기능의 운동과 인지적인 면은 구분되어지는 것이 중요하였고 분리되어져서 치료되어 졌다. 어려운 목록들은 손상을 입은 집단에서 다양하였고, 다양한 손상의 종류의 독특한 영향을 반영하였다. FIM은 기능적인 장애를 측정하기 위해 고안되어진 또 다른 도구이다. 그리고 다른 것들은 의료 재활을 위한 국제적 자료 체계를 만들기 위한 것이다. FIM의 목적은 의료 재활의 결과를 확인하고 장애의 정도의 측정을 포함한다. FIM은 7가지 수준에서 사회적 인지, 의사 소통, 이동, 움직임 (mobility), 소변 관리, 자조 활동을 평가한다. 범위는 총체적 도움의 비율로부터 완전하게 독립적인 것까지의 범위이고 도움, 감독, 도구의 사용의 범위를 고려한다. 27,009의 환자를 조사한 최근 검사 기록들은 FIM이 움직임(motor)과 인지 기능을 평가하는 것이라는 것을 보여준다(Hinemann, 1993). FIM의 저자들은 자료가 프로그램 평가의 시도에서 즉각적으로 적용 할 수 있기를 기대한다. FSI은 어떤 과제의 수행에서 어려움에 관계된 정보를 제공하는 것을 나타내고 과제를 수행하기 위한 환자를 위한 변경된 전략들을 발달시키기 위해 노력하는 임상가들에게 유용할 수 있다. 두 도구 모두는 전통적인 범위들보다 고관절 골절을 동반한 장애의 좀더 정확한 정보를 모으도록 할 수 있다. 고찰된 모든 연구의 결과들은 골절 후에 남아 있는 잔여 장애의 중요한 수준을 강조한다. 골절 전의 보행으로 회복된 사람은 매우 드물었다. 대부분은 기본적인 움직임 혹은 옷입기, 개인 위생에 관계된 활동들에서 의존적이었다. 많은 사람들은 사회에서 활동을 할 수 없었다. 장애의 적절한 측정의 요구는 환자 치료와 기능적인 상태에서 변화를 알고 치료의 요구도를 측정하고 치료를 계획하고 결과를 예상하고 보상 수단을 결정하는 임상적 연구에서 모두 나타난다. 물리치료 분야는 분야의 다른 영역에서 기능적인 결과를 충족시키고 발달시키는 것이 필요하다.

• Journal of agricultural medicine and community health
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• v.47 no.3
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• pp.166-180
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• 2022

Objective: This study evaluated the effects of a non-face-to-face obesity management program, implemented during the pandemic. Methods: The non-face-to-face obesity management program used the Intervention mapping protocol (IMP). The program was put into effect over the course of eight weeks, from September 14 to November 13, 2020 in 48 overweight and obese adults, who applied to participate through the Daegu Citizen Health Support Center. Results: IMP was first a needs assessment was conducted; second, goal setting for behavior change was established; third, evidence-based selection of arbitration method and performance strategy was performed; fourth, program design and validation; fifth, the program was run; and sixth, the results were evaluated. The average weight after participation in the program was reduced by 1.2kg, average WC decreased by 3cm, and average BMI decreased by 0.8kg/m² (p<0.05). The results of the health behavior survey showed a positive improvement in lifestyle factors, including average daily intake calories, fruit intake, and time spent in walking exercise before and after participation in the program. A statistically significant difference was seen (p<0.05). The satisfaction level for program process evaluation was high, at 4.57±0.63 point. Conclusion: The non-face-to-face obesity management program was useful for obesity management for adults in communities, as it enables individual counseling by experts and active participation through self-body measurement and recording without restriction by time and place. However, the program had some restrictions on participation that may relate to the age of the subject, such as skill and comfort in using a mobile app.

• Journal of agricultural medicine and community health
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• v.29 no.1
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• pp.65-75
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• 2004

Objectives: Immunizations have been one of the most effective measures preventing from infectious diseases. It is quite important national infectious disease prevention policy to keep the immunizations rate high and monitor the immunizations rate continuously. To do this, Korean CDC introduced the National Immunization Registry Program(NIRP) which has been implementing since 2000 at the Public Health Centers(PHC). The National Immunization Registry Program will be near completed after sharing, connecting and transfering vaccination data between public and private sector. The aims of this study was to evaluate the immunization module of non-chart system in private clinic with health information system of public health center(made by POSDATA Co., LTD) and immunization registry program(made by BIT Computer Co., LTD). Methods: The analysis and survey were done by specialists in medical, health field, and health information fields from 2001. November to 2002. January. We made the analysis and recommendation about the immunization module of non-chart system in private clinic. Results and Conclusions: To make improvement on immunization module, the system will be revised on various function like receipt and registration, preliminary medical examination, reference and inquiry, registration of vaccine, print-out various sheet, function of transfer vaccination data, issue function of vaccination certification, function of reminder and recall, function of statistical calculation, and management of vaccine stock. There are needs of an accurate assessment of current immunization module on each private non-chart system. And further studies will be necessary to make it an accurate system under changing health policy related national immunization program. We hope that the result of this study may contribute to establish the National Immunization Registry Program.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.173-188
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• 2024

With the advancement of autonomous vehicle (AV) technology, autonomous driving on real roads has become feasible. However, there are challenges in achieving complete autonomy due to perceptual blind areas, which occur when the AV's sensory range or capabilities are limited or impaired by surrounding objects or environmental factors. This study aims to analyze AV accident patterns and safety issues of perceptual blind area that may occur in urban areas, with the goal of developing test scenarios for Level 4+ autonomous driving. It utilized AV accident data from the California Department of Motor Vehicles (DMV) to compare accident patterns and characteristics between AVs and conventional vehicles based on activation status of autonomous mode. It also categorized AV disengagement data to identify types and real-world cases of disengagements caused by perceptual blind areas. The analysis revealed that AVs exhibit different accident types due to their safe driving maneuvers, and three types of perceptual blind area scenarios were identified. The findings of this study serve as crucial foundational data for developing Level 4+ autonomous driving test scenarios, enabling the design of efficient strategies to mitigate perceptual blind areas in various scenarios. This, in turn, is expected to contribute to the effective evaluation and enhancement of AV driving safety on real roads.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.331-350
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• 2023

The purpose of this study is to investigate the academic librarians' perception of the current status and establishment of the development plans of domestic university libraries to suggest ways to increase usefulness of development plans. And this study sought ways to establish the academic library development plan that reflected the key components of the development plan. To this end, a survey was conducted on academic library librarians, and in-depth interviews were conducted with the persons in charge of the academic library development plan to supplement the limitations of survey. The results are as follows. First, the establishment of academic library development plans tend to be formal and passive, and has limitation in eliciting cooperation between external organizations and academic libraries. Second, most academic libraries do not disclose their development plans on their websites. Third, the awareness of the leaders of the academic library organization needs to be preceded, and a task force needs to be formed to establish development plan. As a result of the study, it is suggested that 'active changes in the perceptions and operation method within academic libraries', 'external disclosure of development plans and strengthening cooperation', and 'strengthening the initiative and role of librarians' are needed as improvement measures.