• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.5-8
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• 2007

This paper discusses the spike response model of neurons. First, this paper discusses the coding of spikes, the function of spikes, and the construction of the spikes of neurons by the superposition of simple kernel functions. This paper discusses the method of kernel superposition is general than the response of the IF (Integrate-and-Fire) neuron model, too. Next, this paper discusses the coincidence detection and the input weight computation of spiking neurons and the activity of neuron populations in some detail.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.156-157
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• 2019

본 논문에서는 스파이크그램 기반의 주파수 및 시간 특성을 이용한 음속 인식 방법을 제안한다. 기존의 MFCC 특성은 프레임 단위의 평균 특성이기 때문에 시간 해상도가 낮고, 짧은 음소의 특성을 반영하기에는 어렴움이 있다. 반면, 스파이크그램은 청각 모델을 기반으로 샘플 단위로 계산하기 때문에높은 시간 해상도를 가진다. 고 해상도의 스파이크그램을 분석하면 음소 인식에 특화된 특성 벡터를 추출할 수 있다. 추출된 특성으로 심층 신경망을 학습시켜 음소 인식기를 구현하였고, TMIT 테이터 세트로 성능을 평가하였다. 성능 평가를 통하여 스파이크그램 기반의 새로운 시간-주파수 특성을 사용하여 MFCC 특성과 유사한 성능의 음소인식이 가능한 것을 확인하였다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.1
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• pp.1-7
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• 2022

It has been found through physiological experiments that the visual neurons constituting the human visual cortex do not respond to all visual stimuli, but to a visual stimuli with specific conditions. In order to interpret such physiological experiments, a model that can simulate the firing characteristics of neurons including a linear filter with random gain was proposed. It has been proven through experiments that subspaces are formed. To verify the validity of the implemented model, the distribution of values for two pixels randomly extracted from four different visual stimulus data was observed. The difference between the two distributions was confirmed by extracting the central coordinate value, that is, the coordinate value with the most values, from the distribution of the total stimulus data and the spike ignition stimulus data. In the case of the entire set, it was verified through experiments that the stimulus data generating spikes is a subset or subspace of the entire stimulus data. This study can be used as a basic study related to the mechanism of spikes in response to visual stimuli.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.47-57
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• 2021

Neuromorphic technology is proposed to complement the shortcomings of existing artificial intelligence technology by mimicking the human brain structure and computational process with hardware. NA-IDE has also been proposed for developing neuromorphic hardware-based IoT applications. To implement an SNN model in NA-IDE, commonly used input data must be transformed for use in the SNN model. In this paper, we implemented a neural coding method encoder component that converts image data into a spike train signal and uses it as an SNN input. The decoder component is implemented to convert the output back to image data when the SNN model generates a spike train signal. If the decoder component uses the same parameters as the encoding process, it can generate static data similar to the original data. It can be used in fields such as image-to-image and speech-to-speech to transform and regenerate input data using the proposed encoder and decoder.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.735-742
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• 2019

In this paper, we propose a method of extracting speech features for phoneme recognition based on spikegram. The Fourier-transform-based features are widely used in phoneme recognition, but they are not extracted in a biologically plausible way and cannot have high temporal resolution due to the frame-based operation. For better phoneme recognition, therefore, it is desirable to have a new method of extracting speech features, which analyzes speech signal in high temporal resolution following the model of human auditory system. In this paper, we analyze speech signal based on a spikegram that models feature extraction and transmission in auditory system, and then propose a method of feature extraction from the spikegram for phoneme recognition. We evaluate the performance of proposed features by using a DNN-based phoneme recognizer and confirm that the proposed features provide better performance than the Fourier-transform-based features for short-length phonemes. From this result, we can verify the feasibility of new speech features extracted based on auditory model for phoneme recognition.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.4
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• pp.940-949
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• 1998

The paper proposes an effective mechanism hiring the adaptive buffer control schemes on the mobile seceiver's side that can resolve the problems of delay spikes caused by the handover process onthe cell boundaries when they transmit real-time moving images through the high speed wireless channels. to confirm the effectiveness of the proposed schemes, we have modeled the characteristics of the random errors on the wireless channels, the burst errors and that of the transmission delay by the handover. We also compared the rate of the delay-adaptation of the receive buffers caused by the delay and delay spikes. the comparison was done by testing the suggested schemes against the existing schemes by applying tehm to the packet delay model. We also could identify the noticable reduction of the casesof buffer delay and overflow compared with the conventional schemes, by applying the suggested algorithm to the video image compressed by H.263.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.72-72
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• 2017

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.283-284
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• 2021

최근 SARS-CoV-2 백신들의 예방접종이 진행됨에 따라 코로나 19 팬데믹의 종결이 예상되고 있다. 하지만 계속해서 출현 중인 변종 바이러스들은 팬데믹 종결의 위험요소로 남아있다. 본 논문에서는 사전학습된 단백질 BERT와 단백질-단백질 상호작용 모델을 활용한 SARS-CoV-2 스파이크 단백질의 변이 예측 분석 알고리즘을 제안한다. 제안하는 기술은 변이 단백질 서열의 예측과 변이 단백질과 human ACE2 수용체의 친화도에 따른 자연선택으로 이루어진다. 이를 통해 시간이 지나며 나타날 수 있는 변종 바이러스들을 시뮬레이션 할 수 있어 변종 바이러스들의 해결에 기여할 것으로 기대된다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.32 no.3
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• pp.58-65
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• 2004

Thermal and structural finite element analyses were performed for the turbopump turbine bladed disk model with shroud of a liquid rocket engine. The only 1/80 part model was analyzed which consists of 3D eight node isoparametric solid elements. The applied loading history consists of a startup condition with a thermal spike and a steady state. Heat transfer coefficient on the blade was predicted using the commercial Navier-Stokes solver, Fluent. Transient thermal responses during startup and steady states were calculated using a 3D finite element code developed. Maximum stress and shroud tip displacement under the influence of centrifugal and thermal loading were also determined.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.1
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• pp.101-111
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• 2018

The Korean government has been trying to conserve a marine ecosystem that has been shifting due to climate change. As part of this effort, the government designated seventy-seven marine species that have been disappearing and deserve to be protected as endangered managing them specially. To generate basic data to guide policy for these endangered species, their value must be measured. OOf the species declared endangered, coral is particularly threatened by climate change, and its management is important. Accordingly, understanding the potential value of reefs, can be an effective way of proving the benefits of continuous management to decision makers and the general public alike. To this end, we have applied the contingent valuation method (CVM), an economic technique of for valuing a environmental and non-market goods such as a coral reef. A national face-to-face survey of 1,000 randomly selected households was conducted in order to determine the public's willingness to pay (WTP) for conserving coral reefs. A one-and-one-half-bound (OOHB) model was adopted to interpret WTP responses, and a spike model was employed to deal with zero WTP responses. The results show that the conservation value of a coral reef can be estimated at 3,016 won per household per year, statistically significant at the 1 % level. Expanding values to the national population gives an annual value of 58.9 billion won. We can conclude that the public is willing to pay a significant amount to conserve coral reefs.