• 전기전자학회논문지
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• 제24권4호
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• pp.1028-1033
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• 2020

기존의 동일대역 간섭저감 방법은 무선기기 사이에 물리적인 이격거리를 지정하는 것으로 이격거리를 통해서 간섭을 억제한다. 만약 무선기기에서 동일대역 간섭을 저감할 수 있다면 물리적인 이격거리에 마진을 줄 수 있고, 수신기의 동작영역을 확장시키는 효과가 있으므로 간섭 대응 및 개선에 활용도가 크다. 본 논문에서는 동일대역 아날로그 간섭저감기의 구조를 제안하였고, 제안한 아날로그 간섭저감기의 설계와 구현에 대해서 기술하였다. 아날로그 간섭저감기를 설계하기 위해서 아날로그 간섭저감기의 성능에 영향을 미치는 지연(delay) 불일치, 위상오차 그리고 지연선로의 수에 따른 간섭저감 성능을 시뮬레이션 하였다. 16개의 지연선로로 구성된 아날로그 간섭저감기를 제작하였으며, 구현한 간섭저감기는 3.32㎓의 중심주파수에서 40MHz 대역폭을 갖는 5G(NR-FR1-TM-1.1) 신호에 대해서 약 10dB의 간섭저감 성능을 갖는다. 본 논문에서 제안한 아날로그 간섭저감기는 동일대역 간섭저감기로 활용가능하다.

• 한국농공학회논문집
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• 제63권2호
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• pp.75-84
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• 2021

As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.

• 한국농공학회논문집
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• 제64권1호
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• pp.15-26
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• 2022

3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.

• 화약ㆍ발파
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• 제40권2호
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• pp.1-14
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• 2022

본 연구에서는 발파전색재료와 밀폐용 플러그 장치의 압력 구속 효과를 평가하기 위하여 충격챔버 모델을 구성하여 발파 수치해석을 수행하였다. 현재 개발 중인 전단농화유체 기반의 전색물질과 일반적으로 사용되고 있는 전색재료인 모래의 전색효과를 서로 비교하였다. 또한 발파공 내부압력의 구속효과 강화를 위한 세 가지 형태의 플러그 장치를 시뮬레이션에 적용하였다. 그 결과로서 전단농화유체 기반의 전색재료가 모래전색보다 전색효과가 더 우수한 것으로 나타났다. 또한 전단농화유체 기반의 전색물질과 플러그 장치를 복합적으로 사용하였을 때 발파공 내의 폭발가스의 작용 시간과 영향범위를 효과적으로 향상할 수 있을 것으로 분석되었다.

• 한국농공학회논문집
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• 제64권5호
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• pp.67-77
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• 2022

Recently, the trend in structural analysis and design is moving towards the development of reliable system. The reliability-based method defines various limit states related to usability and failure, thereby enabling multiple levels of design according to the importance of a structure. Meanwhile, an actual structure is composed of a set of several elements, and particularly, a frame type is composed of a system in which the members are connected each other. At this time, the actual connection between members is in a semi-rigid condition, not in complete rigid or hinged. This semi-rigid is found in several structures, especially in agricultural facilities designed with lightweight materials. In this study, a system reliability analysis technique for frame structure was established, and applied to an analysis of the semi-rigid connection. Various conditions of correlation were applied to reflect the connectivity between members, and through this, the limitations of existing structural analysis method and the behavioral characteristics of structure were analyzed. The failure probability of the frame member component and the overall structure system was significantly different in consideration of the semi-rigid connection. In addition, it was evaluated that the behavior of structure can be more accurately analyzed if the correlation according to the position of members in a system is further investigated.

• 전자통신동향분석
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• 제36권2호
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• pp.43-55
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• 2021

National and social issues are becoming increasingly common, but traditional policy-making methods are no longer effective. Therefore, evidence-based policy making is emerging as an alternative paradigm. Digital twin technology is one of the digital support tools for the new data-driven policy-making process. This study presents ongoing government experiments in the world where digital twin technology is applied to policy making and describes our experience in developing digital twin platforms in Sejong-the de facto administrative capital of South Korea.

• 한국농공학회논문집
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• 제64권6호
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• pp.35-41
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• 2022

Heavy snow damage can be prevented in advance with an appropriate security system. To develop the security system, we developed a model that predicts snow depth after a few hours when the snow depth is observed, and utilized it to calculate a failure probability with various types of greenhouses and observed snow depth data. We compared the Markov chain model and Bayesian long short-term memory models with varying input data. Markov chain model showed the worst performance, and the models that used only past snow depth data outperformed the models that used other weather data with snow depth (temperature, humidity, wind speed). Also, the models that utilized 1-hour past data outperformed the models that utilized 3-hour data and 6-hour data. Finally, the Bayesian LSTM model that uses 1-hour snow depth data was selected to predict snow depth. We compared the selected model and the shifting method, which uses present data as future data without prediction, and the model outperformed the shifting method when predicting data after 11-24 hours.

• 대한정형도수물리치료학회지
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• 제28권3호
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• pp.69-77
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• 2022

Background: Ankle sprains, and the resulting ankle instability worsen to chronic due to recurrent ankle injuries or sprains, 78% of which are accompanied by posture instability and damage due to changes in the position of the talus of the ankle. The purpose of this study is to investigate the immediate effect of applying MWM taping on the patient's muscle strength and balance ability in patients with chronic ankle instability. Methods: 15 people with MWM taping and 15 people with Kinesio taping were applied, and after applying the taping of the ankle, 10 minutes of walking treadmill and 10 times of forward lunge operation, the change in ankle muscle strength and balance ability was confirmed. The strength test of the ankle was performed using a test device called Biodex system 4 (USA) for the movement of the dorsi-flexion and plantar flexion of the foot, and the balance of the two groups was measured using Biodex balance system (USA) to test balance ability. Results: The comparison of muscle strength changes in the ankle does not show a significant increase in the group applying MWM compared to the group applying kinesio taping (p<.05). In the comparison of equilibrium capabilities, the MWM taping group also showed a significant increase in the MWM taping group compared to the kinesio taping group (p<.05). Conclusion: When applying MWM taping and kinesio taping to patients with chronic ankle instability, there was no significant difference in comparison of muscle strength changes, but there was a significant difference in comparison of balance ability.

• 대한정형도수물리치료학회지
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• 제28권3호
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• pp.51-59
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• 2022

Background: This study aimed to investigate the effect of mobilization with movement (MWM) applied to the ankle joint, on the craniovertebral angle (CVA), pressure pain threshold, and neck disability index (NDI) in asymptomatic adults with a forward head posture (FHP). Methods: A total of 32 subjects with FHP were assigned to either the MWM group (N=16) or the cranio-cervical flexion exercise (CCFE) group (n=16). The CVA, pressure pain threshold and NDI were measured before and 4 weeks after the intervention. Results: A significant improvement in the CVA was observed in the MWM group (p<.05), whereas no significant changes (p>.05) were observed in the CCFE group. Both groups showed significant differences in the pressure pain threshold and NDI before and after the intervention (p<.05). Conclusion: The results of the study suggest that MWM applied to the ankle joint can effectively improve the CVA, pressure pain threshold, and NDI of adults with a forward head posture. Based on this study, the ankle MWM technique for dorsiflexion can be used as an objective research method for additional studies targeting FHP patients in the future.

• 한국농공학회논문집
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• 제64권4호
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• pp.21-30
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• 2022

Renewable energy systems aim to achieve carbon neutrality and replace fossil fuels. Photovoltaic technologies are the most widely used renewable energy. However, they require a large operating area, thereby decreasing available farmland. Accordingly, agrivoltaic systems (AVSs)-innovative smart farm technologies that utilize solar energy for crop growth and electricity production-are attracting attention. Although several empirical studies on these systems have been conducted, comprehensive research on their design is lacking, and no standard model suitable for South Korea has been developed. Therefore, this study created an integral design of AVS reflecting domestic crop cultivation conditions and conducted a structural analysis for safety assessment. The shading ratio, planting distance, and agricultural machinery work of the system were determined. In addition, national construction standards were applied to evaluate their structural safety using a finite element analysis. Through this, the safety of this system was ensured, and structural considerations were put forward. It is expected that the AVS model will allow for a stable utilization of renewable energy and smart farm technologies in rural areas.