• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.254-263
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• 2020

This study developed indexes of farmers' acceptance factors for new farming technologies and evaluated the importance of the developed. For this study, farming technologies were classified according to the criteria established by the Rural Development Administration, and the Delphi technique was applied to evaluate the importance of the indexes. The indexes were composed of two tiers and evaluated by the analytic hierarchy process (AHP). Results showed that the importance of the first tier was finance and profitability with 43.9%, technology affairs 23.6%, labor environments 22.4%, and related industries and service system 10.1%. The importance of the second tier was the ease of technology acceptance 64.9% and technology completion 35.1% for technology affairs in the first tier, labor intensity 53.7%, work hazard 26.7%, working hours 19.6% for labor environment, farm income increment 69.9% and new fund required 30.1% for finance and profitability, and training and service system 66.7% and activation of related industries 33.7% for related industry and service system. This study may contribute to farmers' acceptance of new farming technologies and increase the efficiency and effectiveness of agricultural research and extension activities by the Rural Development Administration.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.617-629
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• 2020

In order to overcome the limitations of the rule-based intrusion detection system due to changes in Internet computing environments, the emergence of new services, and creativity of attackers, network anomaly detection (NAD) using machine learning and deep learning technologies has received much attention. Most of these existing machine learning and deep learning technologies for NAD use supervised learning methods to learn a set of training data set labeled 'normal' and 'attack'. This paper presents the feasibility of the unsupervised learning AutoEncoder(AE) to NAD from data sets collecting of secured network traffic without labeled responses. To verify the performance of the proposed AE mode, we present the experimental results in terms of accuracy, precision, recall, f1-score, and ROC AUC value on the NSL-KDD training and test data sets. In particular, we model a reference AE through the deep analysis of diverse AEs varying hyper-parameters such as the number of layers as well as considering the regularization and denoising effects. The reference model shows the f1-scores 90.4% and 89% of binary classification on the KDDTest+ and KDDTest-21 test data sets based on the threshold of the 82-th percentile of the AE reconstruction error of the training data set.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.159-169
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• 2012

The purpose of this study was to assess the vulnerability of forest ecosystem to climate change in South Korea using socio-environmental indicators and the results of two vegetation models named as Hydrological and Thermal Analogy Group(HyTAG), and MAPSS-Century 1(MC1). The changing frequency and direction of biome types estimated by HyTAG model was used for quantifying sensitivity and adaptive capacity of forest distribution. Similarly, the variation and changing tendency of net primary production and soil carbon storage estimated by MC1 model was used for quantifying sensitivity and adaptive capacity of forest function. As socio-environmental indicators, many statistical data such as financial autonomy rate and the number of forestry officer was prepared. All indicators were standardized, and then calculated using the vulnerability assessment equation. The period of vulnerability assessment was divided into the past(1971-2000) and the future(2021-2050). To understand what policy has a priority to climate change, distribution maps of each indicators was depicted and the vulnerability results were compared among administrative districts. Evident differences could be found in entire study area. These differences were mostly derived from regionalspecific adaptive capacity. The result and methodology of this study would be helpful for the development of decision-making supporting system and policy making in forest management with respect to climate change.

• Korean Journal of Remote Sensing
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• v.34 no.2_1
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• pp.179-190
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• 2018

The purpose of this study is an analysis of the risk of soil erosion before and after the maintenance of riparian area using the Revised Universal Soil Loss Equation (RUSLE) model based on GIS and digitizing data. To analysis of soil erosion loss in the study area, land cover maps, topographical maps, soil maps, precipitation and other data were used. After digitizing the riparian area of the Geumhogang, the area is divided into administrative district units, respectively. Amount of soil loss was classified into 5 class according to the degree of loss. Totally, 1 and 5 class were decreased, and 2-4 class were increased. Daegu and Yeongcheon decreased the area of 5 class, and Gyeongsan did not have area of 5 class. The reason for this is thought to be the decrease of the 5 class area due to the park construction, expansion of artificial facilities, and reduction of agricultural land. Simplification of riverside for river dredging and park construction has increased the flow rate of the riverside and it is considered that the amount of soil erosion has increased.

• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.653-666
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• 2020

Understanding the vegetation structure is important to manage forest resources for sustainable forest development. With the recent development of technology, it is possible to apply new technologies such as drones and deep learning to forests and use it to estimate the vegetation structure. In this study, the vegetation structure of Gongju, Samchuk, and Seoguipo area was identified by fusion of drone-optical images and LiDAR data using Artificial Neural Networks(ANNs) with the accuracy of 92.62% (Kappa value: 0.59), 91.57% (Kappa value: 0.53), and 86.00% (Kappa value: 0.63), respectively. The vegetation structure analysis technology using deep learning is expected to increase the performance of the model as the amount of information in the optical and LiDAR increases. In the future, if the model is developed with a high-complexity that can reflect various characteristics of vegetation and sufficient sampling, it would be a material that can be used as a reference data to Korea's policies and regulations by constructing a country-level vegetation structure map.

• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.693-706
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• 2020

For ten meteorological observatories running an automated synoptic observing system (ASOS), we classified the observation environments into five classes based on the World Meteorological Organization (WMO) classification guidelines. Obstacles (such as topography and buildings) and land-cover types were the main factors in evaluating the observation environments for the sunshine duration, air-temperature, and surface wind. We used the digital maps of topography, buildings, and land-cover types. The observation environment of the sunshine duration was most affected by the surrounding buildings when the solar altitude angle was low around the sunrise and sunset. The air-temperature observation environment was determined based on not only the solar altitude angle but the distance between the heat/water source and ASOS. There was no water source around the ASOSs considered in this study. Heat sources located near some ASOSs were not large enough to affect the observation environment. We evaluated the surface wind observation environment based on the roughness length around the ASOS and the distance between surrounding buildings and the ASOS. Most ASOSs lay at a higher altitude than the surroundings and the roughness lengths around the ASOSs were small enough to satisfy the condition for the best level.

• Journal of Broadcast Engineering
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• v.12 no.1 s.34
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• pp.11-27
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• 2007

T-DMB(Terrestrial-Digital Multimedia Broadcasting) for portable and mobile broadcasting service was officially launched in the metropolitan area of Korea in December 2005. The development of interactive data services and the expansion of T-DMB network have been now progressed, and the regional T-DMB broadcasters will be selected in the near future. Although it is important to evaluate service area and reduce a fringe area for optimizing RF coverage of T-DMB, there was no professional system to support those works, and therefore lots of resources in budget, manpower and time were required. The measurement considering characteristics of SFN(Single Frequency Network) is essential in the implementation of T-DMB network which needs to control synchronization, spacing and output power of transmitters. In addition, mobile measurement, enough measured parameters for many-sided analysis of reception quality, efficient management of enormous measured data and representation of measured results on the electronic map are also important in evaluating service area. In this paper, we derived requirements for a new measurement system in T-DMB by considering the above details, and we proposed and developed an integrated measurement and analysis system. The developed system was applied to the implementation of T-DMB network of KBS and field tests, and it proved its efficiency and accuracy in result.

• Biomedical Science Letters
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• v.2 no.1
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• pp.121-126
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• 1996

Specific monoclonal antibodies(mAbs) against bis-indole alkaloids related to vinblastine were established to develop a simple and specific immunoassay system for the quantitation of Vinca alkaloids. Vinca alkaloids were extracted from tissue cultured cells of periwinkle plant (Vinca rosea L.). Spleen cells from Balb/c mice immunized with vinblastine-bovine serum albumin(VBL-BSA) conjugate as immunogen were fused with myeloma cells(Sp2/0-Ag.14) in the presence of polyethylene glycol. In the preliminary experiments, 32 clones which highly reacted with VBL-BSA conjugate were selected by ELISA(Enzyme-linked immunosorbent assay).These clones were further analyzed by inhibition assay of ELISA. The results obtained with two typical monoclonal antibodies, KN-1 and KN-2, were described. KN-1 exhibited considerable reactivities with soluble dimeric bis-indole alkaloids, whereas no cross reacted with monomeric bis-indole alkaloids. However KN-2 showed cross reactivity with mono- and di-meric bis-indole alkaloids. Furthermore, KN-1 was applied to the immunoassay system for determining the VBL amounts of in vitro cultured cell extracts. This assay system could detect dimeric vinca alkaloid as low as 0.05 nM.

• Investigative Magnetic Resonance Imaging
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• v.15 no.2
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• pp.130-138
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• 2011

Purpose : To compare fMRIs of visual and auditory word generation tasks, and to evaluate the difference of its activated areas and lateralization according to the mode of stimuli. Materials and Methods : Eight male normal volunteers were included and all were right handed. Functional maps were obtained during auditory and visual word generation tasks in all. Normalized group analysis were performed in each task and the threshold for significance was set at p<0.05. Activated areas in each task were compared visually and statistically. Results : In both tasks, left dominant activations were demonstrated and were more lateralized in visual task. Both frontal lobes (Broca's area, premotor area, and SMA) and left posterior middle temporal gyrus were activated in both tasks. Extensive bilateral temporal activations were noted in auditory task. Both occipital and parietal activations were demonstrated in visual task. Conclusion : Modality independent areas could be interpreted as a core area of language function. Modality specific areas may be associated with processing of stimuli. Visual task induced more lateralized activation and could be a more useful in language study than auditory task.

• The Korean Journal of Nuclear Medicine
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• v.26 no.1
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• pp.49-57
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• 1992

혈관확장제 투여에 의한 약물부하 심근스캔시는 운동부하 심근스캔시와 비교하여 심박출량과 관상 동백 혈류의 증가정도가 달라서 심근내 T1-201의 농도가 달라진다. 그러므로 부하 심근관류스캔의 정량적 판독시에 각각의 부하에 특이적인 Normal file을 사용하지 않으면 이러한 심근내 T1-201 농도의 차이로 인하여 관류 결손의 크기가 다르게 나타날 수 있으리라 추측할 수 있다. 본 연구는 좌전하행지의 유의한 협착이 있는 34명의 단일 혈관 관상동맥 환자에서 이러한 가정이 실제적으로 어떻게 나타나는가를 조사하였다. 환자들은 adenosine 140ug/kg/min을 정맥주사하고 T1-201 SPECT를 실시하였다. 관류결손의 크기는 답차운동부하 T1-201 스캔을 실시한 정상인에서 구한 Normal File (File-ex)과 adenosine T1-201 스캔의 Normal File (File-ad)을 각각 이용하여 만든 극성지도에서 구한 adenosine 심근스캔의 관류결손의 범위지수(extent score)와 중증도지수(severity score)로 표시하였고, 이들의 값을 비교하여 아래의 결과를 얻었다. File-ex로 구한 관류결손의 범위지수는 $19{\pm}13%$였고 File-ad로 구한 범위는 $11{\pm}10%$였다(차이 $8.1{\pm}1.6%$, p=0.0001), 중증도지수는 File-ex를 사용하였을 때 $582{\pm}479$였고 File-ad를 사용하였을때는 $310{\pm}309$였다(차이 $272{\pm}49$, p<0.0001). $50\sim70%$의 중등도의 내경 협착이 있었던 20명의 환자에서는 범위지수는 File-ex와 File-ad에서 각각 $17{\pm}10$과 $7{\pm}7%$(p=0.001)였고, 70% 이상의 내경 협착이 있었던 14명에서의 범위 지수는 각각 $24{\pm}16$과 $18{\pm}10%$ (p=0.03)로 모두에서 File-ex를 사용하였을때의 값이 컸다. 이와 같은 성적으로 보아 T1-201 스핀에서 관류결손의 정도를 정량적으로 첨가할 시에는 부하에 특이적인 Normal File을 사용하여야 관류 결손의 정도를 정확하게 추출할 수 있다는 사실을 알 수가 있다. 즉 dipyridamole이나 adenosine부하경사에서 운동부하의 Normal File을 사용하면 관류결손의 정도가 과대평가 된다는 것이다.