• International Journal of Control, Automation, and Systems
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• 제4권6호
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• pp.705-713
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• 2006

For the analysis of multiunit extracellular neural signals as multiple spike trains, neural spike sorting is essential. Existing algorithms for the spike sorting have been unsatisfactory when the signal-to-noise ratio(SNR) is low, especially for implementation of fully-automated systems. We present a novel method that shows satisfactory performance even under low SNR, and compare its performance with a recent method based on principal component analysis(PCA) and fuzzy c-means(FCM) clustering algorithm. Our system consists of a spike detector that shows high performance under low SNR, a feature extractor that utilizes projection pursuit based on negentropy maximization, and an unsupervised classifier based on Gaussian mixture model. It is shown that the proposed feature extractor gives better performance compared to the PCA, and the proposed combination of spike detector, feature extraction, and unsupervised classification yields much better performance than the PCA-FCM, in that the realization of fully-automated unsupervised spike sorting becomes more feasible.

• Korean Journal of Mathematics
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• 제20권3호
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• pp.323-331
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• 2012

We present a high-order potential ow model for the motion of the impulsively accelerated unstable interface of infinite density jump. The Layzer model for the evolution of the interface is extended to high-order. The time-evolution solutions of the bubble and the spike in the interface are obtained from the high-order model. We show that the high-order model gives improvement on the prediction of the evolution of the bubble and the spike.

• 농업과학연구
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• 제43권2호
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• pp.275-287
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• 2016

This study attempts to estimate the benefits of using water ensuing from the Chilgap multipurpose reservoir for environmental improvement. The contingent valuation method (CVM) was used to elicit the willingness to pay (WTP) for providing environmental improvement water from the Chilgap reservoir to Daechi-stream and Ji-stream. The DCDB (double-bound dichotomous choice) survey method was used to collect data for the analysis. Due to the usually high cost of increasing the sample size, the use of follow-up questions was implemented as an inexpensive method of improving the efficiency of the estimation. A spike model was used in this study because a number of respondents showed zero WTP. The spike model can be estimated as easily as the conventional model. Results show that the average annual household's WTP is 4,516 won using the conventional model and 8,644 won using the spike model. Applying the estimated average annual household's WTP to the Chungnam and Daejeon regional levels, the benefits of environmental improvement water from the Chilgap reservoir is estimated at 11.9 billion won per year. The temporal benefits of providing water for environmental improvement, for a 50-year period at a 6.0% discount rate, is estimated at about 190 billion won in the Chungnam and Daejeon areas. These results could be useful especially when the government tries to determine an appropriate level of investment and to make a policy related to providing environmental improvement water.

• 대한수학회지
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• 제37권5호
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• pp.779-791
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• 2000

The nonlinear stage of the evolution of free boundary between a light fluid and a heavy fluid driven by an external force is studied by a potential flow model with a source singlarity. The potential flow model is applied to a bubble and spije evolution for constantly accelerated interface (Rayleigh-Taylor instability) and impulsively accelerated interface (Richtmyer-Meshkow instability). The numerical results of the model show that, in constantly accelerated intergace, bubble grows with constant velocity and the spike falls with gravitational acceleration at later times, while the velocity of the bubble in impulsively accelerated interface decay to zero asymp flow model for the bubble and spike for constantly accelerated interface and impulsively accelerated interface.

• IMMUNE NETWORK
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• 제23권2호
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• pp.19.1-19.10
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• 2023

Endemic human coronaviruses (HCoVs) have been evidenced to be cross-reactive to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although a correlation exists between the immunological memory to HCoVs and coronavirus disease 2019 (COVID-19) severity, there is little experimental evidence for the effects of HCoV memory on the efficacy of COVID-19 vaccines. Here, we investigated the Ag-specific immune response to COVID-19 vaccines in the presence or absence of immunological memory against HCoV spike Ags in a mouse model. Pre-existing immunity against HCoV did not affect the COVID-19 vaccine-mediated humoral response with regard to Ag-specific total IgG and neutralizing Ab levels. The specific T cell response to the COVID-19 vaccine Ag was also unaltered, regardless of pre-exposure to HCoV spike Ags. Taken together, our data suggest that COVID-19 vaccines elicit comparable immunity regardless of immunological memory to spike of endemic HCoVs in a mouse model.

• 로봇학회논문지
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• 제1권2호
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• pp.163-171
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• 2006

This paper introduces the research progress on the artificial brain in the Telerobotics and Control Laboratory at KAIST. This series of studies is based on the assumption that it will be possible to develop an artificial intelligence by copying the mechanisms of the animal brain. Two important brain mechanisms are considered: spike-timing dependent plasticity and dopaminergic plasticity. Each mechanism is implemented in two coding paradigms: spike-codes and rate-codes. Spike-timing dependent plasticity is essential for self-organization in the brain. Dopamine neurons deliver reward signals and modify the synaptic efficacies in order to maximize the predicted reward. This paper addresses how artificial intelligence can emerge by the synergy between self-organization and reinforcement learning. For implementation issues, the rate codes of the brain mechanisms are developed to calculate the neuron dynamics efficiently.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2004년도 제23회 추계학술대회 논문집
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• pp.57-61
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• 2004

레이저 추진의 개념을 이용한 공기 흡입 레이저 스파이크 엔진은 대기권 내의 비행체에 사용될 수 있다. 레이저 스파이크 엔진은 연소 과정 대신 레이저 에너지에 의해 유도된 폭풍파에 의해서 추력을 얻는다. 그리고 이 엔진은 공기를 추진제로 사용하기 때문에 추진제를 따로 탑재할 필요가 없다. 실험에서는 초음속 풍동과 스파크 발생기를 사용하였다. 2차원 레이저 스파이크 엔진 모형을 사용하여 유동을 가시화 하였으며, 동일한 형태에 대한 수치 해석을 시행하였다.

• 응용통계연구
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• 제34권3호
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• pp.491-505
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• 2021

본 연구에서는, 고차원상황(p ≫ n)에서의 회귀분석 모형을 고려하여 다양한 베이지안 회귀분석 방법들을 비교하였다. Spike and slab 사전분포는 고차원 베이지안 회귀분석에서 가장 많이 사용되는 사전분포 중 하나이지만, 탐험해야 하는 모형 공간이 너무 크기 때문에 유한 표본에서 좋지 않은 성능을 보일 수 있다는 문제가 있다. 이에 대한 대안으로, horseshoe 사전분포를 비롯한 다양한 연속 수축사전분포들이 제안되어 사용되고 있다. 비록 위 사전분포들 각각에 대해서는 많은 연구들이 진행되고 있지만, 이들에 대한 포괄적인 비교연구는 매우 드물게 진행되고 있다. 따라서 본 연구에서는, spike and slab 사전분포와 다양한 연속수축사 전분포들을 다양한 상황에서 비교하는 연구를 진행 하였다. 각 방법의 성능은 회귀계수 추정 측면과 변수선택 측면을 나누어 비교하였다. 최종적으로, 본 연구에서 진행된 시뮬레이션 연구에 기반하여, 사용시 몇 가지 주의점과 제안들을 제시하였다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2002년도 추계 학술대회논문집
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• pp.109-113
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• 2002

Numerical analysis of aerodynamic heating for KPSAM is performed using aerodynamic heating model suitable to KPSAM, which has complex flow field resulting from the spike attached to the dome, such as large separation area and the strong shock/boundary layer interaction region around reattachment point on the dome. The aerodynamic heating model is validated and modified through the comparison between the flight test measurement and the thermal analysis results. TFD temperature sensors are installed on the dome to measure surface temperature during the flight. Computation results, obtained from the heat transfer analysis on the sensors, agree well with flight test data. The aerodynamic heating model provides heat transfer rate into surface as a boundary condition of unsteady 1D/axisymmetric thermal analysis on the missile structure. The axisymmetric thermal analysis using FLUENT is more versatile than the 1D analysis and can be applied to the heating problem related with complex structures and multi-dimensional heat transfer problems such as prediction of temperature rise at contact surface of different materials.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (B)
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• pp.5-8
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• 2007

본 논문은 스파이크 뉴런의 응답 모델에 대하여 논의한다. 먼저, 스파이크 뉴런의 코딩 방법과 스파이크 기능에 대하여 논의하고, 커널 함수의 중첩(superposition)에 의한 스파이크 뉴런의 활동 전위 구성에 대하여 논의한다. 이 방법은 IF(Integrate-and-Fire) 뉴런 모델에서 사용하는 활동 전위 방정식보다 일반적인 것이라는 것을 설명하였다. 다음에 스파이크 출력의 기능으로서 우연성 동시 검출과 가중치 계산을 논의하고 뉴런 집단(population)의 스파이크 출력에 대하여 논의한다.