• 대한전기학회논문지:시스템및제어부문D
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• 제52권9호
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• pp.533-539
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• 2003

Reinforcement learning (RL) has been widely used as a learning mechanism of an artificial life system. However, RL usually suffers from slow convergence to the optimum state-action sequence or a sequence of stimulus-response (SR) behaviors, and may not correctly work in non-Markov processes. In this paper, first, to cope with slow-convergence problem, if some state-action pairs are considered as disturbance for optimum sequence, then they no to be eliminated in long-term memory (LTM), where such disturbances are found by a shortest path-finding algorithm. This process is shown to let the system get an enhanced learning speed. Second, to partly solve a non-Markov problem, if a stimulus is frequently met in a searching-process, then the stimulus will be classified as a sequential percept for a non-Markov hidden state. And thus, a correct behavior for a non-Markov hidden state can be learned as in a Markov environment. To show the validity of our proposed learning technologies, several simulation result j will be illustrated.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1999년도 가을 학술발표회 논문집
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• pp.429-436
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• 1999

The best available solution to predict the fatigue life of structural steels is the implementation of EPFM approach based on the principles and techniques of elasto plastic fracture mechanics. To predict the fatigue life, the conventional Paris law has been modified by substituting the range of J-value denoted by ΔJ for ΔK that is calculated by the proposed p-version model. The proposed P-version finite element model is formulated by the incremental theory of Plasticity that consists of the constitutive equation fur elastic-perfectly plastic materials, Tresca/von-Mises yield criteria, and associated flow rule. The experimental fatigue test is conducted with five UP(Center Clucked Panels) specimens to validate the accuracy of the p-version finite element model. Also, the results obtained by LTM approach have been compared with those by EPFM approach.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.442-447
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• 2001

The process and results of the Coupled Loads Analysis performed in the course of the development of the KOMPSAT-1 were introduced in this paper. The process of performing the Coupled Loads Analysis was explained. The finite-element model of KOMPSAT-1 was explained. The load cases analyzed were introduced. With the results obtained from the Coupled Loads Analysis, it was confirmed that the KOMPSAT-1 was safe from the loads transmitted from the launch vehicle during launch vehicle flight.

• 한국의학물리학회지:의학물리
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• 제20권4호
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• pp.308-316
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• 2009

조사면의 크기와 한계 측정부위의 선량평가에는 형체가 자유로운 열형광분말체를 이용하는 것이 적합함을 뒷받침하기 위하여 LiF:Mg,Cu,P TLD 분말체의 선량특성을 조사하고, 작성된 평가 알고리즘에 따라 선형가속기의 출력선량을 눈가림법으로 조사한 TLD에 적용했을 때 평가 신뢰성을 확인하고자 한다. 열형광분말소자는 PTW 사의 LiF:Mg,Cu,P (200 Mesh)이며, 판독기는 LTM (LTM Co, France)이다. 물의 흡수선량은 전리함과 전위계를 표준선량평가기관에서 교정한 흡수선량계수를 사용하여 구하였으며, TLD 조사는 자체 제작한 미니 프라스틱 수조의 중앙에 삽입하여 조사면 $10{\times}10\;cm^2$로 시행 하였다. 방사선조사는 두 대학병원에 설치된 선형가속기(Oncor, Siemens와 Clinac Ix, Varian)의 6 MV 광자선으로 하였으며, TLD의 눈가림법 선량평가는 glow 곡선의 특성과 분말질량에 의한 감도변화, 선량률의존성, 선량-TL 강도의 비례성과 퇴행성 조사를 통해 시행되었다. LiF:Mg,Cu,P TLD는 3개의 glow peak를 보였고 232도에 나타나는 peak는 선량과 비례성이 높고 감도가 높으며 퇴행현상이 적어 선량계로써 좋은 조건을 보이고 있다. 열형광선량분말체는 1,000 cGy까지 대략적인 선형관계를 유지하였으나, 정밀 측정평가를 위해 비선형 함수를 통해 평균 1% 오차범위에서 평가할 수 있었다. LiF:Mg,Cu,P TLD는 선량률 22.2 cGy/min에서 600 cGy/min까지 TL 감도에 거의 영향을 주지 않았으나, 가열판(Planchette)의 분말체의 량에 따라서는 TL 감도에 변화가 있음을 확인하였다. 눈가림법으로 두 기관의 선형가속기에서 15회와 10회 조사하였고, 선량범위는 15~800 cGy였다. 눈가림법에 의한 양 기관의 TL 선량은 평균 1% 이하의 오차범위에서 일치하고 편차는 각각 ${\pm}1.9%$와 ${\pm}2.58$ 이내에 있었다. 열형광분말소자를 사용하여 눈가림법으로 출력선량을 평가한 결과 실험오차범위에서 표준전리함의 선량과 잘 일치하였으며, 전리함으로 접근할 수 없는 작은 조사면이나 경계성 조사면에 대한 선량평가에 신뢰성 있는 평가를 할 수 있을 것으로 생각한다.

• 한국환경생태학회지
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• 제24권4호
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• pp.487-492
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• 2010

본 연구는 집박쥐의 비번식기 행동권을 분석하기 위하여 경상북도 경주시의 집박쥐 주간 휴식장소를 대상으로 수행하였다. 박쥐의 포획은 새끼의 출산이 이루어지기 이전인 2009년 5월 4, 10, 18일에 하였으며, 암, 수 각각 3개체씩 총 6개체를 이용하였다. 행동권 분석을 위한 원격무선추적은 발신기(LTM Single Stage Radio Transmitter, 0.38g), 수신기(R2000 ATS receiver, Advanced Telemetry Systems, Inc., Isanti, MN), Yagi 안테나(Three element Yagi antenna) 및 차량용 안테나(Roof mounted antenna)를 이용하였으며, 분석에는 ArcGIS 3.3 (ESRI Inc.) Animal Movement Extension 2.0을 이용하였다. 집박쥐의 행동권 분석결과 평균 행동권은 $14.46{\pm}3.44ha$로 조사되었으며, 암컷은 $16.83{\pm}1.96ha$ 그리고 수컷은 $12.08{\pm}2.96ha$의 행동권을 가지는 것으로 나타났다. 본 연구에서는 암컷과 수컷의 행동권에서 평균적으로 암컷이 더 큰 행동권을 보이는 결과를 나타내었으나, 통계적으로 유의적인 차이는 확인되지 않았다(t=2.32, p>0.05). 또한 각각의 위치정보를 기준으로 주간 휴식지에서의 최대 이동 거리는 평균 $468.73{\pm}94.38m$ 로 나타났으며, 암컷($422.73{\pm}10.38m$)과 수컷($514.74{\pm}125.74m$)간의 유의적인 차이는 나타나지 않았다(t=-1.26, p>0.05).

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.63-72
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• 2009

Korean Land Spatialization Program (KLSP) is an R&D program of the National GIS Project for developing ubiquitous GIS technologies under the control of the M inistry of Land, Transport and Maritime Affairs (M LTM). The first program of the KLSP, which lasts from 2006 to 2012, initiated with $132 million of national funds and $42 million of private matching funds. Aiming to develop the 'Innovation of GIS technology for ubiquitous Korean land', the KLSP consists of five core research projects and one research coordination project to practically utilize and commercialize the results of core research projects. The Korean Land Spatialization Group (KLSG) is planning the KLSP Test-Bed for testing, integrating, and exhibiting the KLSP's outcomes. About 40% of the outcomes are related products to geo-sensor and wireless sensor network (W SN). Thus, interoperable, scalable and web accessible frameworks like an OGC SWE (Open Geospatial Consortium Sensor Web Enablement) are mandatory because some of the products must be connected to each other in a KLSG Test-Bed. The main objective of this paper is to introduce the KLSP Test-Bed and the SWE SOS (Sensor Observation Service) prototype, which is developed for interoperable geo-sensor networks of the KLSP.

• 대한원격탐사학회지
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• 제36권1호
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• pp.15-27
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• 2020

Accurate knowledge of land use/land cover (LULC) features and their relative changes over upon the time are essential for sustainable urban management. Urban sprawl growth has been always also a worldwide concern that needs to carefully monitor particularly in a developing country where unplanned building constriction has been expanding at a high rate. Recently, remotely sensed imageries with a very high spatial/spectral resolution and state of the art machine learning approaches sent the urban classification and growth monitoring to a higher level. In this research, we classified the Quickbird satellite imagery by object-based image analysis of Dempster-Shafer (OBIA-DS) for the years of 2002 and 2015 at Karbala-Iraq. The real LULC changes including, residential sprawl expansion, amongst these years, were identified via change detection procedure. In accordance with extracted features of LULC and detected trend of urban pattern, the future LULC dynamic was simulated by using land transformation model (LTM) in geospatial information system (GIS) platform. Both classification and prediction stages were successfully validated using ground control points (GCPs) through accuracy assessment metric of Kappa coefficient that indicated 0.87 and 0.91 for 2002 and 2015 classification as well as 0.79 for prediction part. Detail results revealed a substantial growth in building over fifteen years that mostly replaced by agriculture and orchard field. The prediction scenario of LULC sprawl development for 2030 revealed a substantial decline in green and agriculture land as well as an extensive increment in build-up area especially at the countryside of the city without following the residential pattern standard. The proposed method helps urban decision-makers to identify the detail temporal-spatial growth pattern of highly populated cities like Karbala. Additionally, the results of this study can be considered as a probable future map in order to design enough future social services and amenities for the local inhabitants.

• 세라미스트
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• 제21권2호
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• pp.4-18
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• 2018

Lastly, neuromorphic computing chip has been extensively studied as the technology that directly mimics efficient calculation algorithm of human brain, enabling a next-generation intelligent hardware system with high speed and low power consumption. Three-terminal based synaptic transistor has relatively low integration density compared to the two-terminal type memristor, while its power consumption can be realized as being so low and its spike plasticity from synapse can be reliably implemented. Also, the strong electrical interaction between two or more synaptic spikes offers the advantage of more precise control of synaptic weights. In this review paper, the results of synaptic transistor mimicking synaptic behavior of the brain are classified according to the channel material, in order of silicon, organic semiconductor, oxide semiconductor, 1D CNT(carbon nanotube) and 2D van der Waals atomic layer present. At the same time, key technologies related to dielectrics and electrolytes introduced to express hysteresis and plasticity are discussed. In addition, we compared the essential electrical characteristics (EPSC, IPSC, PPF, STM, LTM, and STDP) required to implement synaptic transistors in common and the power consumption required for unit synapse operation. Generally, synaptic devices should be integrated with other peripheral circuits such as neurons. Demonstration of this neuromorphic system level needs the linearity of synapse resistance change, the symmetry between potentiation and depression, and multi-level resistance states. Finally, in order to be used as a practical neuromorphic applications, the long-term stability and reliability of the synapse device have to be essentially secured through the retention and the endurance cycling test related to the long-term memory characteristics.

• 한국초지조사료학회지
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• 제42권3호
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• pp.201-207
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• 2022

Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.