• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.436-442
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• 2022

In this paper, the performance of the selective combining according to the channel selection decision method of frequency diversity is evaluated in the underwater frequency selective channel. The underwater acoustic channel in the shallow sea has a complex multipath characteristic by combining various environmental factors such as boundary surface reflection and sound wave refraction according to the water temperature layer. In particular, frequency selectivity due to multipath causes energy fluctuation in a communication channel, which reduces SNR (Signal to Noise Ratio) and deteriorates communication performance. In this paper, we applied the frequency diversity technique using multiple channels to secure the communication performance according to the frequency selectivity by multipath. For each channel, 4-FSK (Frequency Shift Keying) and selective combining were applied, the performance was evaluated by applying the maximum value, average value, and majority decision of the signal in order to decide the demodulation channel selection of the selective combining.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.129.1-129.1
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• 2011

최근 급격한 경제성장과 고도 산업사회로의 전환에 따라 에너지 수요가 크게 증가하고 있다. 이에 따라 석유, 가스 등 화석에너지의 소비량과 온실가스 배출량이 급격히 늘어나고 있는 실정이다. 따라서 화석에너지의 소비와 온실가스 배출을 저감시키기 위해 친환경적인 에너지를 이용하기 위한 많은 연구가 이루어지고 있다. 이와 같은 노력 중 하나가 바로 태양열에너지를 이용하는 방법이다. 태양열에너지는 자원 고갈의 우려가 없고, 에너지의 이용 과정에서 공해 물질을 배출하지 않아 대체 에너지원으로 각광을 받고 있다. 하지만 에너지 밀도가 낮고 에너지의 공급이 기상조건에 따라 큰 영향을 받으므로 태양열에너지를 이용하기 위해서는 효율적인 집열시스템이 필요하다. 따라서 본 연구에서는 우수한 열적특성을 가진 탄소나노유체를 히트파이프 작동유체에 적용하여, 태양열 집열기의 효율을 향상시키기 위해 탄소나노유체의 열전도도 및 점도특성을 비교분석하였다. 나노유체는 에탄올에 산화 다중벽 탄소나노튜브(Oxidized Multi-walled Carbon Nanotubes, OMWCNTs)를 혼합하고, 초음파 분산하여 제조하였다. 에탄올-산화탄소나노유체의 열전도도와 점도는 저온($10^{\circ}C$), 상온($25^{\circ}C$), 고온($70^{\circ}C$)에서 측정하여 비교분석하였으며, 열전도도는 전기 전도성 유체의 비정상 열선법(Transient Hot-wire Method)을 이용하여 측정하였고, 점도는 회전형 디지털 점도계를 이용하였다. 실험 결과 0.1 vol%의 에탄올-산화탄소나노유체의 열전도도는 기본 유체 대비 33.72%($10^{\circ}C$), 33.14%($25^{\circ}C$), 32.26%($70^{\circ}C$)가 향상되었으며, 점도 또한 기본유체보다 크게 증가하지 않아 히트파이프 작동유체로서 우수한 효과를 나타낼 수 있음을 확인하였다. 본 연구의 결과는 태양열 집열기 히트파이프의 효율 향상을 위한 기초자료로써 유용한 정보를 제공할 것이라 판단된다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.2
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• pp.14-26
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• 2002

A new model for degenerate semiconductor quantum well devices was developed. In this model, the multi-subband Boltzmann transport equation was formulated by applying the Pauli exclusion principle and coupled to the Schrodinger and Poisson equations. For the solution of the resulted nonlinear system, the finite difference method and the Newton-Raphson method was used and carrier energy distribution function was obtained for each subband. The model was applied to a Si MOSFET inversion layer. The results of the simulation showed the changes of the distribution function from Boltzmann like to Fermi-Dirac like depending on the electron density in the quantum well, which presents the appropriateness of this modeling, the effectiveness of the solution method, and the importance of the Pauli -exclusion principle according to the reduced size of semiconductor devices.

• Geophysics and Geophysical Exploration
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• v.25 no.3
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• pp.99-108
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• 2022

Among induced polarization (IP) methods, spectral IP (SIP) uses alternating current as a transmission source to measure amplitudes and phase of complex electrical resistivity at each source frequency, which disperse with respect to source frequencies. The frequency dependence, which can be explained by a relaxation model such as Cole-Cole model or equivalent models, is analyzed to estimate SIP parameters from dispersion curves of complex resistivity employing multi-objective optimization (MOO). The estimation uses a generic algorithm to optimize two objective functions minimizing data misfits of amplitude and phase based on Cole-Cole model, which is most widely used to explain IP relaxation effects. The MOO-based estimation properly recovered Cole-Cole model parameters for synthetic examples but hardly fitted for the real laboratory measures ones, which have relatively smaller values of phases (less than about 10 mrad). Discrepancies between scales for data misfits of amplitude and phase, used as parameters of MOO method, and it is in necessity to employ other methods such as machine learning, which can deal with the discrepancies, to estimate SIP parameters from dispersion curves of complex resistivity.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.580-580
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• 2013

공정 플라즈마에서 사용할 수 없는 단일 랭뮤어 탐침법의 단점을 극복하기 위해서 부유 고조화파 탐침법이 개발되었고, 개선되어왔다. 다중 주파수를 인가하여 발생하는 고조화파 신호들 중 상호간섭주파수의 진폭을 이용하는 Sideband 방법과 원신호의 주파수 진폭을 이용하는 이중 주파수 방법이 있는데, 본 연구에서는 위와 같이 응용된 방법들과 기존의 부유 고조화파 탐침법의 장단점을 파악하고, 차이점을 규명하였다. 플라즈마 변수를 이끌어내기 위해 사용된 베셀함수의 민감도를 통해 특정 전자온도 영역에서의 각 방법들의 신뢰성을 비교해보았고, 측정값에서의 차이를 주파수 응답 특성 차이 및 전자 에너지 분포의 차이로 설명하였다. 이런 비교 연구를 통해 상황 별 적합한 측정 방법을 선택적 이용할 수 있을 뿐만 아니라, 이를 통해 측정하는 플라즈마 변수의 신뢰성을 향상시킬 수 있을 것으로 예상된다.

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.3
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• pp.605-616
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• 2001

Generally, there are two methods in researching internal combustion engines. One is by experimental research and the other is by computer simulation. The experimental research has many merits that researchers can get data for engine performance, but it has also some demerit of cost and time. If there is an engine simulation code with accuracy for the solution, it is very convenient to predict the performance and optimum design value of the engine. In this study, engine performance simulation program has been improved to predict the transient variation of properties of gas in cylinder, intake and exhaust manifolds, There total program code was developed to calculate the pressure, flame factor and turbulent intensity, As a result of present study, the authors could predicted the in-cylinder pressure, intake manifold pressure and the engine performance in various conditions. The authors also could easily prepare the tool if optimum design of manifold and in-cylinder geometry.

• Journal of Energy Engineering
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• v.20 no.2
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• pp.103-108
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• 2011

$Li_2MnSiO_4$/C was synthesized by solid state reaction and solution synthesis with sucrose for carbon source. The X-ray diffraction patterns of solid state reaction indicates small amount of impurities. By FE-SEM and HR-TEM, solution synthesis comprised several tens of nanometer comparing to 500~600 nm of $Li_2MnSiO_4$/C prepared by solid state reaction. The $Li_2MnSiO_4$/C prepared by solution synthesis show better electrochemical performance than solid state reaction. The first charge-discharge capacity are 236, 189 mAh/g respectively by solution synthesis. But its cycle performance was poor as yet and its capacity retention was 62% after 10 cycles.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.175-181
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• 2021

This paper analyzes the artificial intelligence-based approach for short-term energy consumption prediction. In this paper, we employ the reinforcement learning algorithms to improve the limitation of the supervised learning algorithms which usually utilize to the short-term energy consumption prediction technologies. The supervised learning algorithm-based approaches have high complexity because the approaches require contextual information as well as energy consumption data for sufficient performance. We propose a deep reinforcement learning algorithm based on multi-agent to predict energy consumption only with energy consumption data for improving the complexity of data and learning models. The proposed scheme is simulated using public energy consumption data and confirmed the performance. The proposed scheme can predict a similar value to the actual value except for the outlier data.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.2
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• pp.27-38
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• 2002

A new self-consistent mathematical model for semiconductor quantum well device was developed. The model was based on the direct solution of the Boltzmann transport equation, coupled to the Schrodinger and Poisson equations. The solution yielded the distribution function for a two-dimensional electron gas(2DEG) in quantum well devices. To solve the Boltzmann equation, it was transformed into a tractable form using a Legendre polynomial expansion. The Legendre expansion facilitated analytical evaluation of the collision integral, and allowed for a reduction of the dimensionality of the problem. The transformed Boltzmann equation was then discretized and solved using sparce matrix algebra. The overall system was solved by iteration between Poisson, Schrodinger and Boltzmann equations until convergence was attained.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2534-2542
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• 2011

In this paper, we show that performance can be improved by using multiple antennas in the conventional orthogonal code hopping multiplexing (OCHM) scheme, which was proposed for accommodating a larger number of users with low channel activities than the number of orthogonal codewords used in code division multiple access (CDMA)-based communication systems through downlink statistical multiplexing. First, we introduce two different types of OCHM systems together with orthogonal codeword allocation strategies, and then derive their mathematical expression for log-likelihood ratio (LLR) values according to the two different schemes. Next, when a turbo encoder based on the LLR computation is used, we evaluate performance on the frame error rate (FER) for the aformentioned OCHM system. For comparison, we also show performance for the existing symbol mapping method using multiple antennas, which was used in 3GPP standards. As a result, it is shown that our OCHM system with multiple antennas based on the proposed orthogonal codeword allocation strategy leads to performance gain over the conventional system---energy required to satisfy a target FER is significantly reduced.