• 농업과학연구
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• 제43권4호
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• pp.507-521
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• 2016

Landslides are one of the most common natural hazards causing significant damage and casualties every year. In Korea, the increasing trend in landslide occurrence in recent decades, caused by climate change, has set off an alarm for researchers to find more reliable methods for landslide prediction. Therefore, an accurate landslide-susceptibility assessment is fundamental for preventing landslides and minimizing damages. However, analyzing the stability of a natural slope is not an easy task because it depends on numerous factors such as those related to vegetation, soil properties, soil moisture distribution, the amount and duration of rainfall, earthquakes, etc. A variety of different methods and techniques for evaluating landslide susceptibility have been proposed, but up to now no specific method or technique has been accepted as the standard method because it is very difficult to assess different methods with entirely different intrinsic and extrinsic data. Landslide prediction methods can fall into three categories: empirical, statistical, and physical approaches. This paper reviews previous research and surveys three groups of landslide prediction methods.

• Journal of Biosystems Engineering
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• 제33권5호
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• pp.289-295
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• 2008

The task of chemical spraying has been seriously considered as an irritating and annoying job for Korean rice farmers. An agricultural unmanned helicopter was suggested to solve this problem so as the farmers to have more decent farming condition. The objectives of this study were to analyze the adoptability of an experimental rotor blade (SW05) using the CFD simulation and also to compare the simulation results with experimental results. The simulation results showed that the induced power of this rotor reached to $57{\sim}63%$ of total power and the profile power was about $37{\sim}43%$ of total power. Therefore it can be concluded that this rotor's performance characteristics were not so efficient for the size of unmanned helicopter due to the low induced power and high profile power relatively compared with ones of conventional rotors. The comparison with experimental results showed that the tested lifts were less than 70% of simulated ones at the grip pitch of $12^{\circ}$ and decreased to 40% at the $18^{\circ}$ grip pitch. Therefore, it can be concluded that the rotor was too oversized to be used for a 15.4 kW (21 PS) engine.

• 한국산업보건학회지
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• 제28권3호
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• pp.267-272
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• 2018

Objective: This study aimed to test the accuracy of self-reported information used in indirect estimation of pesticide exposure. Methods: To do so, self-reported values on the duration of pesticide application per day were compared with observed values. The number of days of pesticide application per year as recorded in self-administered logs was compared with recalled values. Results: It was found that participants underestimated the duration and frequency of actual pesticide use. High correlations were found between self-reported values and observed values, as well as between recalled values and recorded values. Conclusions: The reason might be that farmers unconsciously under-recall the application of pesticide since many customers prefer eco-friendly agricultural products. Farmers thought the task of applying pesticides to be essential, and this may explain why the participants in this study tended to accurately recall their pesticide-related work.

• 농촌지도와개발
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• 제16권2호
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• pp.285-304
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• 2009

The objectives of this study were finding out some methods about development of oversea agriculture in Korea. It is a tough task that faces us now. China is a big agricultural country, most agricultural investment country and the nearest located in Korea. So this study researches on the quality of farmers and characters of rural human resources in China. In China, agriculture industry is the basic industry among national economy developments. The majority of populations in China are living in rural region. Agriculture, villages and farmers are main issues in China. From this point, An analysis of Chinese farmers' characters and qualities; general conditions of farmers' knowledge of science and technology, their education level, quality of minds and sprit, and rural public health service situation in China. The result of this study is following; First, Chinese farmers' factors that low education level, big cultural differences between cities and country sides affect the development of China's agriculture as obstruction factors. Second, Practice conditions of farmers' science knowledge and technology are low level, output of higher rural human resources, low quality of minds and sprit and problems of agricultural extension service. It is negative influenced of agriculture and farmers economic development in China. Third, unsociable culture of the peasantry influences Chinese farming in the negative ways. Also, conventional notions of family are getting weaker, it makes connection of the kinship weaken. But, Chinese think that this kind of kinship is the most important thing in their life. Fourth, in the case of situations that the farmer's sanitation and health, low level of the medical service is getting worse than before relatively. And there are a lot of discordances between a planned childbirth policy and personal recognitions. Also, lacking of nourishment makes labor productivity falling tendencies. The medical industry falls short of the standard as compared to the number of farming people. Fifth, in the peasantry's consciousness of the legal system, this causes difficulties to farmers in the market. Shortage of the legal knowledge exerts a bad influence upon rural economy.

• 한국농공학회지
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• 제29권3호
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• pp.125-137
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• 1987

The purpose of this paper is to examine some difficulties in water management of agricultural reservoirs in Korea, for there are approximately more than 15,000 reservoirs which are now being utilized for the purpose of irrigation, along with the much amount of expenses and labors to be invested against droughts and floods periodically occurred. Recently, the effective use of water resources in the agricultural reservoirs with a single purpose, is becomming multiple according to the alterable environment of water use. Therefore, the task to allocate agricultural water rationally and economically must be solved for the multiple use of agricultural reservoirs. On the basis of the above statement, this study aims at suggesting the rational method of water management by introducing an optimal technique to allocate the water in an existing agricultural reservoir rationally, for the sake of maximizing the economic effect. To achieve this objective, a reservoir, called "0-Bongje" as a sample of the case study, is selected for an agricultural water development proiect of medium scale. As a model for the optimum allocation of water in the multi-purpose use of reservoirs a linear programming model is developed and analyzed. As a result, findings of the study are as follows : First, a linear programing model is developed for the optimum allocation of water in the multi-purpose use of agricultural reservoirs. By adopting the model in the case of reservoir called "O-Bongje," the optimum solution for such various objects as irrigation area, the amount of domestic water supply, the size of power generation, and the size of reservoir storage, etc., can be obtained. Second, by comparing the net benefits in each object under the changing condition of inflow into the reservoir, the factors which can most affect the yearly total net benefit can be drawn, and they are in the order of the amount of domestic water supply, irrigation area, and power generation. Third, the sensitivity analysis for the decision variable of irrigation which may have a first priority among the objects indicate that the effective method of water management can be rapidly suggested in accordance with a condition under the decreasing area of irrigation. Fourth, in the case of decision making on the water allocation policy in an existing multi-purpose reservoir, the rapid comparison of numerous alternatives can be possible by adopting the linear programming model. Besides, as the resources can be analyed in connection with various activities, it can be concluded that the linear programing model developed in this study is more quantitative than the traditional methods of analysis. Fifth, all the possible constraint equations, in using a linear programming model for adopting a water allocation problem in the agricultural reservoirs, are presented, and the method of analysis is also suggested in this study. Finally, as the linear programming model in this study is found comprehensive, the model can be adopted in any different kind of conditions of agricultural reservoirs for the purpose of analyzing optimum water allocation, if the economic and technical coefficients are known, and the decision variable is changed in accordance with the changing condition of irrigation area.

• 한국응용곤충학회지
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• 제61권1호
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• pp.249-254
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• 2022

오래전부터 산업곤충으로서 이용되어온 누에는 최근 바이오 신소재 생산을 위한 생체공장으로써 주목받고 있다. 소재생산을 위해서는 주로 형질전환 기술을 이용하게 되며, 이는 배아가 있는 알 속으로 목적 유전자를 삽입하는 마이크로인젝션(microinjection) 방식으로 이루어진다. 마이크로인젝션을 위해서는 알을 고정하는 과정이 필수적이며 시간 소모 및 피로도가 높은 작업이다. 따라서 본 연구에서는 시간 소모 및 피로도 개선을 통하여 형질전환 효율을 높이고자 3D 프린팅을 이용하여 알의 정렬 및 고정에 도움을 줄 수 있는 알 배열판(egg liner) 및 접착제 줄눈판(glue drawer)을 3DCADian 프로그램을 이용하여 모델링하고, Fusion 360를 이용하여 3차원 도면을 제작 후 프린팅하여 제작하였다. 제작된 두 도구를 이용하여 슬라이드 글라스에 알을 고정하고, 소요된 시간을 분석한 결과 도구를 사용하지 않았을 때에 비하여 2가지 도구를 이용했을 때 작업시간이 약18.6% 감소하였으며, 연구자의 작업 편의성을 향상시키고 마이크로인젝션을 위한 현미경 및 로봇 팔(manipulator) 조작을 유리하게 하였다. 따라서 알의 배열 수 또는 조작 편의성을 개선할 수 있는 추가적인 연구 및 개량이 이루어진다면, 알 배열판 및 접착제 줄눈판이 누에 형질전환 효율성 개선 및 다른 산업 곤충의 형질전환 연구에도 이용될 수 있을 것으로 판단된다.

• Journal of Computing Science and Engineering
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• 제10권2호
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• pp.58-67
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• 2016

With the large amount of complex network data that is increasingly available on the Web, link prediction has become a popular data-mining research field. The focus of this paper is on a link-prediction task that can be formulated as a binary classification problem in complex networks. To solve this link-prediction problem, a sparse-classification algorithm called "Truncated Kernel Projection Machine" that is based on empirical-feature selection is proposed. The proposed algorithm is a novel way to achieve a realization of sparse empirical-feature-based learning that is different from those of the regularized kernel-projection machines. The algorithm is more appealing than those of the previous outstanding learning machines since it can be computed efficiently, and it is also implemented easily and stably during the link-prediction task. The algorithm is applied here for link-prediction tasks in different complex networks, and an investigation of several classification algorithms was performed for comparison. The experimental results show that the proposed algorithm outperformed the compared algorithms in several key indices with a smaller number of test errors and greater stability.

• 농촌의학ㆍ지역보건
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• 제44권3호
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• pp.138-143
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• 2019

양봉 작업은 들기 작업이 많아 근골격계 부담이 컸으며 양봉 농업인의 대부분이 지난 1년 동안 직업과 관련된 근골격계 질환 증상을 호소했다. 보조도구인 벌통리프트를 사용하면 양봉 작업으로 인한 근골격계 부담을 줄일 수 있다.

• 한국안전학회지
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• 제31권2호
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• pp.127-132
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• 2016

In this study, the plan to construct a disaster information categorization system that can be objectively and efficiently performed was suggested in order to perform disaster management task systematically. Recently, the damage of natural disasters is gradually growing larger and faster, increasing the economic loss. Especially, as for the domestic storm damage, the damage from strong wind was found to be greater than the damage from torrential rain. Also, strong wind was found to be inflicting a great damage on human life, property and agricultural crops, so the necessity to study damage restoration from strong wind is increasing. Nevertheless, the damage items categorized in the domestic disaster year book are often comprehensive or unclear in criteria, and thus fail to reflect items or matters due to actual disaster damage. It is difficult to aggregate damage accurately such that it does not correspond to the national compensation scope or the damage amount is calculated according to subjective judgment of the investigator in charge. As such, if the disaster information management is inadequate by not applying accurate categorization criteria from damage amount calculation, there can be an issue with fairness when paying the damage support aid. Therefore, this study suggested a categorization plan for objective and efficient execution of disaster information management task in order to resolve such issues. It is expected that quick and efficient execution would be possible in disaster information management and task procedure domestically by constructing systematic categorization system related to disaster information.

• 한국환경보건학회지
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• 제36권3호
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• pp.191-198
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• 2010

The aim of this study was to determine the concentrations of air-borne microorganisms (bacteria, fungi, gram negative bacteria (GNB), endotoxins, and respirable suspended particles (RSPs), and their correlation with environmental parameters (temperature, humidity, and carbon dioxide levels) in duck houses. The mean concentrations of bacteria, fungi, and GNB were very high (> $10^6\;CFU/m^3$), and endotoxin levels exceeded $10^3\;EU/m^3$. Among the various work stages, in the task of receiving ducks, bacteria were $6.2{\times}10^6;CFU/m^3$, and GNB were $5.4{\times}10^6\;CFU/m^3$, while RSPs levels were $397.6\;{\mu}g/m^3$ and endotoxin levels were $47.2{\times}10^3\;EU/m^3$ in the task of dividing the ducks, and fungi were $4.9{\times}10^6\;CFU/m^3$ in the task of shipping the ducks. The concentrations of RSPs and endotoxins were significantly higher in tasks involving greater movement of ducks in the house, relative to tasks involving little movement of ducks (p<0.05). Further, with progression in growth of the ducks, the concentrations of bacteria, GNB, endotoxins, and RSPs were significantly increased. There was significant correlation between levels of GNB with bacteria (r=0.75) and fungi (r=0.86), endotoxins with RSPs (r=0.75), bacteria with fungi (r=0.39), and carbon dioxide with RSPs (r=0.38), bacteria (r=0.33), and endotoxins (r=0.31). These results suggest considerable respiratory hazard for farmers in these environments.