• Journal of the Institute of Convergence Signal Processing
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• v.17 no.2
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• pp.83-92
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• 2016

In this paper, we introduce the results of the testing and observation systems for performance wideband expansion in the Korean VLBI Network(KVN). The KVN performs VLBI observations to 1024 Mbps data rate, and 8192 Mbps observing for four simultaneous observation is now evaluating for normal operation. The VLBI stations in several world countries developed their own wideband observing systems to observe the celestial objects with high precision and high resolution or are working with several countries. The KVN is planning to introduce a high-speed sampler, OCTAD, for sampling directly up to 2048 MHz bandwidth for RF signal of K/Q/W/D band in the frequency band without conversion. Therefore, as a preliminary study for the performance scalability of the KVN then through the close cooperation with National Astronomical Observatory of Japan (NAOJ), the OCTAD high-speed sampler and OCTADISK2 high-speed recorder were installed in the KVN Yonsei station, and verify the performance through a wideband.

• The Journal of the Acoustical Society of Korea
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• v.34 no.1
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• pp.36-45
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• 2015

Recently, a lot of studies have been made about the methods used to generate turbulent velocity fields stochastically in order to effectively predict broadband flow noise. Among them, the FRPM (Fast Random Particle Mesh) method which generates turbulence with specific statistical properties using turbulence kinetic energy and dissipation obtained from the steady solution of the RANS (Reynolds Averaged Navier-Stokes) equations has been successfully applied. However, the FRPM method cannot be applied to the flow noise problems involving intrinsic unsteady characteristics such as centrifugal fan. In this paper, to effectively predict the broadband noise generated by centrifugal fan, U-FRPM (unsteady FRPM) method is developed by extending the FRPM method to be combined with the unsteady numerical solutions of the unsteady RANS equations to generate the turbulence considered as broadband noise sources. Firstly, an unsteady flow field is obtained from the unsteady RANS equations through CFD (Computational Fluid Dynamics). Then, noise sources are generated using the U-FRPM method combined with acoustic analogy. Finally, the linear propagation model which is realized through BEM (Boundary Element Method) is combined with the generated sources to predict broadband noise at the listeners' position. The proposed technique is validated to compare its prediction result with the measured data.

• The Korean Journal of Ecology
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• v.16 no.4
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• pp.377-395
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• 1993

Habitat types, community structure and population characteristics of Koelreuteria paniculata were investigated in Mt. Wolak, Chungbuk and Naesokdong, Daegu, which are natural habitats of the species in inland region of Korea, and its origin was discussed. Habitats of Koelreuteria paniculata were classified to 3 types: sand bar formed by the sands flooded in the course of flow of the mountain stream (Type 1). crevice on the rock bed within the mountain stream (Type 2) and crevice of the rock around the edge of mountain stream (Type 3). Most Koelreuteria paniculata communities in Mt. Wolak site were composed of 3 layers of subtree layer, shrub layer and herb layer and that of Daegu site was 4 layers including tree layer. In the floristic composition of the Koelreuteria paniculata community, plants occurring frequently in the wet and open site, such as Zelkova serrata and Fraxinus rhynchoph-vlla showed high frequency. Frequency distribution of diameter at ground surface of Koelreutrria paniculata showed reversed J-shaped type. It was supposed that expansion of Koelreuteria paniculata community in Mt. Wolak site might be accomplished by the flow of the stream. Many saplings capable of becoming a successor of mature trees in Daegu site in near degenerating phase were established on the forest floor of the Koelreuteria paniculata community. From this result, it was supposed that these saplings originated from the seeds dispersed from a seed tree might form the Koelreuteria paniculata community of the next generation. On the other hand, the origin of Koelreutevia paniculata in inland sites was explained by two hypotheses: the one was that Koelreuteria paniculata might be transplanted by human and the other was that the present site might be native habitat of the community.

• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.2
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• pp.138-149
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• 2000

Various modeling techniques for ultrasonic wave propagation and scattering problems in finite solid media are presented. Elastodynamic boundary value problems in inhomogeneous multi-layered plate-like structures are set up for modal analysis of guided wave propagation and numerically solved to obtain dispersion curves which show propagation characteristics of guided waves. As a powerful modeling tool to overcome such numerical difficulties in wave scattering problems as the geometrical complexity and mode conversion, the Boundary Element Method(BEM) is introduced and is combined with the normal mode expansion technique to develop the hybrid BEM, an efficient technique for modeling multi mode conversion of guided wave scattering problems. Time dependent wave forms are obtained through the inverse Fourier transformation of the numerical solutions in the frequency domain. 3D BEM program development is underway to model more practical ultrasonic wave signals. Some encouraging numerical results have recently been obtained in comparison with the analytical solutions for wave propagation in a bar subjected to time harmonic longitudinal excitation. It is expected that the presented modeling techniques for elastic wave propagation and scattering can be applied to establish quantitative nondestructive evaluation techniques in various ways.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.449-456
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• 2004

This paper proposes a novel recognition model, a recurrent fuzzy associative memory(RFAM), for recognizing time-series patterns contained an ambiguity. RFAM is basically extended from FAM(Fuzzy Associative memory) by adding a recurrent layer which can be used to deal with sequential input patterns and to characterize their temporal relations. RFAM provides a Hebbian-style learning method which establishes the degree of association between input and output. The error back-propagation algorithm is also adopted to train the weights of the recurrent layer of RFAM. To evaluate the performance of the proposed model, we applied it to a word boundary detection problem of speech signal.

• 한국정보통신설비학회:학술대회논문집
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• 2005.08a
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• pp.97-103
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• 2005

본 고에서는 전력선통신 기술동향을 분석하고 국내 기술기준에서 어떻게 규제를 받는지 분석하였다. 전력선통신은 초기에 전기 이용기기의 원격 제어용으로 비교적 적은 데이터를 송수신하는데 이용되었다. 그러나 광대역 통신 요구에 따라서 전력선을 이용한 고속 전력선모뎀 기술이 개발되어 인터넷 등과 같은 고속 데이터 통신을 할 수 있게 되었다. 그러나 전력선통신은 기존 전선로를 사용하므로 높은 주파수의 신호를 전송하면 전파 방사에 의해서 다른 무선설비에 영향을 줄 수 있다. 현재 30MHz 이하의 대역을 사용하고 있으나 이 대역은 해상, 항공 등 인명 안전을 위한 중요 통신에서 이용하고 있다. 그러므로 전력선모뎀이 기존 무선설비에 간섭을 주지 않으면서 주파수 대역을 공유하기 위해서는 간섭을 최소화할 수 있는 spread spectrum이나 OFDM과 같은 기술을 활용해서 설계되어야 한다. 이미 이러한 기술들을 활용한 전력선 모뎀이 상용화되어 있으며 옥내 뿐 만 아니라 옥외까지 용도를 확장하기 위해서 간섭 완화기술 및 방법 등이 활발히 연구되고 있다. 본 고에서는 전력선통신의 고속화를 위한 기술 동향 및 간섭 완화 방법 기술을 분석하고, 구현된 시스템이 다른 무선설비와 간섭 없이 사용될 수 있도록 규정하고 있는 관련 기술기준을 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.65-66
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• 2018

국내 항만의 건설 및 확장 보수를 위한 설계 단계에서의 평면배치 검토시 항내측으로 내습하는 파랑변형특성에 대한 정밀한 평가는 필수적이다. 이에 따라 많은 수학적 모델들이 연안역과 항만에서의 파랑전파와 변형에 대해 개발되어 왔다. 특히 항내정온도의 해석은 항만 사용성 측면에서 매우 중요하며 실제 해상의 파랑상태와 유사한 불규칙파로의 해석이 요구되어 지고 있다. 항내정온도 해석에 있어서 항내파랑장 형성에 크게 영향을 미치는 구조물의 반사율을 효과적으로 적용하는 것은 매우 중요하다. 하지만, 구조물의 반사율은 이론계산이 어렵고, 일반적으로는 모형실험 혹은 현지관측에 의해 추정된다. 따라서, 일반적인 경우 비용 및 시간상의 제약으로 인해 평면 파랑모형으로 정온도 해석시 반사율의 적용은 구조형식별로 연구자들에 의해 개략 제시된 반사율을 적용하고 있다. 특히, 다방향 불규칙파의 적용시에 경계조건으로는 다방향 불규칙파를 효과적으로 제어할 수 있는 부분반사 경계면과 계산영역 밖으로 나가는 파랑에 대해서 인공적인 흡수층 또는 감쇠층(artificial damping layer)을 설정하여 반사를 제어하는 기법을 많이 적용하고 있다. 이때 항만구조물의 부분반사는 파랑제원에 따른 damping layer의 parameter의 조정에 의해 구조물의 구조형식별 반사율을 적절히 재현할 필요성이 있다. 본 연구에서는 불규칙파를 대상으로 damping layer의 parameter(무차원 감쇠계수, 감쇠층의 두께)등의 변화에 따른 반사율의 변화특성을 고찰하고, 향후 부분반사 경계면으로 damping layer가 적용되는 평면 파랑모형의 정온도 해석시 부분반사의 적용에 대한 기초자료를 제공하고자 한다.

• Geophysics and Geophysical Exploration
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• v.10 no.4
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• pp.229-240
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• 2007

In this study, seismic anisotropic tomography algorithm was developed for imaging the seismic velocity anisotropy of the subsurface. This algorithm includes several inversion schemes in order to make the inversion process stable and robust. First of all, the set of the inversion parameters is limited to one slowness, two ratios of slowness and one direction of the anisotropy symmetric axis. The ranges of the inversion parameters are localized by the pseudobeta transform to obtain the reasonable inversion results and the inversion constraints are controlled efficiently by ACB(Active Constraint Balancing) method. Especially, the inversion using the Fresnel volume is applied to the anisotropic tomography and it can make the anisotropic tomography more stable than ray tomography as it widens the propagation angle coverage. The algorithm of anisotropic tomography is verified through the numerical experiments. And, it is applied to the real field data measured at limestone region and the results are discussed with the drill log and geological survey data. The anisotropic tomography algorithm will be able to provide the useful tool to evaluate and understand the geological structure of the subsurface more reasonably with the anisotropic characteristics.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.105-112
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• 2010

In this paper, the bio-signals, such as EEG, ECG were measured with a sensor and their characters were drawn out and analyzed. With results from the analysis, four emotion of rest, concentration, tension and depression were inferred. In order to assess one's emotion, the characteristic vectors were drawn out by applying various ways, including the frequency analysis of the bio-signals like the measured EEG and HRV. RBFN, a neural network of the complex structure of unsupervised and supervised learning, was applied to classify and infer the deducted information. Through experiments, the system suggested in this thesis showed better capability to classify and infer than other systems using a different neural network. As follow-up research tasks, the recognizance rate of the measured bio-signals should be improved. Also, the technology which can be applied to the wired or wireless sensor measuring the bio-signals more easily and to wearable computing should be developed.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.133-140
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• 2008

The cable TV network has delivered downward broadcasting signals from distribution centers to subscribers. Since the traditional coaxial cable has been upgraded by the Hybrid Fiber Coaxial(HFC) cable, the upward channels has expanded broadband services such as Internet. This upward channel is vulnerable to ingress noises. When the noises from the children nodes accumulated in an amplifier exceeds a certain level, that node has to be cut off to prevent the noise propagation. The node selection problem(NSP) is defined to select nodes so that the noise in each node does not exceed the given threshold value and the sum of Profits of selected nodes can be maximized. The NSP has shown to be NP-hard. In this paper, we have proposed heuristics to find the near-optimal solution for NSP. The experimental results show that interval partitioning is better than greedy approach. Our heuristics can be used by the HFC network management system to provide privileged services to the premium subscribers on HFC networks.