• Journal of the Institute of Convergence Signal Processing
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• v.25 no.1
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• pp.1-6
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• 2024

The main function of intercept array sonar is to detect pulses radiated from enemy surface ships, submarines, and torpedoes. When a pulse is detected, it is a high risk situation for the own ship, so it is very important to find the target's location for the ship's maneuverability and survival. The target's location is calculated by finding the starting point of the pulse received form each sensor and calculating the time delay between sensors. In order to find starting point, the envelope of the signal is calculated and differential filtering is performed. However, since intercept array sonar has a high sampling frequency of the signal, the number of samples to be processed is large, so this process has a problem with a large computational amount. In this paper, we propose a pulse starting point calculation method using decimation for reducing computational amount. Simulations were performed while changing the decimation factor, and it was confirmed that computational amount was reduced. The proposed method is expected to be effective in real-time processing system and have advantages in resource utilization.

• 한국지구물리탐사학회:학술대회논문집
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• 2006.06a
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• pp.117-122
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• 2006

In the geophysical monitoring to understand the change of subsurface material properties with time, the time-invariant static subsurface model is commonly adopted to reconstruct a time-lapse image. This assumption of static model, however, can be invalid particularly when fluid migrates very quickly in highly permeable medium in the brine injection experiment. In such case, the resultant subsurface images may be severely distorted. In order to alleviate this problem, we develop a new least-squares inversion algorithm under the assumption that the subsurface model will change continuously in time. Instead of sampling a time-space model into numerous space models with a regular time interval, a few reference models in space domain at different times pre-selected are used to describe the subsurface structure continuously changing in time; the material property at a certain space coordinate are assumed to change linearly in time. Consequently, finding a space-time model can be simplified into obtaining several reference space models. In order to stabilize iterative inversion and to calculate meaningful subsurface images varying with time, the regularization along time axis is introduced assuming that the subsurface model will not change significantly during the data acquisition. The performance of the proposed algorithm is demonstrated by the numerical experiments using the synthetic data of crosshole dc resistivity tomography.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.425-425
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• 2009

그라핀을 금속 촉매를 이용하여 상압 혹은 저진공 CVD로 성장할 경우 대형 기판을 쉽게 얻을 수 있으므로 최근 들어 금속 촉매를 이용한 CVD 기술이 재 각광받고 있다. 최근 MIT의 Jing Kong 그룹, Purdue 대학의 Yong P. Chen 그룹, 국내에서는 성균관대학에서 이에 대한 논문을 발표한 바 있다. CVD 방법의 가장 큰 장점은 그라핀 박막의 가장 큰 문제점 중 하나인 대형 기판에 매우 유리하다는 점이다. 본 연구에서는 결함 없는 대형 그라핀기판을 얻기위해 Si/$SiO_2$/Ni 박막위에 그라핀을 LPCVD로 성장하는 실험을 진행하였다. 우선 시료는 Si위에 $SiO_2$를 Sputtering으로 증착하였고, 그 위에 250nm, 300nm두께의 Ni 박막을 e-beam evaporator로 증착하였다. $0.5-1cm^2$ 크기의 샘플을 Thermal CVD 장비를 이용하여 그라핀을 성장하는 실험을 진행하였다. 성장 압력은 95 torr, 성장온도는 $800^{\circ}C$, $850^{\circ}C$, $900^{\circ}C$에서 Hydrocarbon ($C_2H_2$)을 5min, 10min으로 성장시간을 split하였다. Hydrocarbon을 흘리기 전에 Ni grain을 성장하기 위해 성장온도에서 30~60min정도 $H_2$분위기에서 Ni 산화막의 환원 및 어닐링을 진행하였다. 그림.1은 $850^{\circ}C$, 5분간 성장한 그라핀/Ni 샘플의 광학사진이다. 그림.2는 $850^{\circ}C$에서 5min, 10min 성장한 샘플의 Raman spectrum이다. (파장은 514.532nm). 850C 10min 샘플은 G>G' peak 이지만, 5min으로 성장한 샘플의 경우 G'>G peak 임을 알 수 있고, 따라서 5min의 조건에서는 층 두께가 4층 미만의 그라핀 박막을 얻을 수 있음을 보여준다. 또한 G' peak의 위치가 두께가 감소할수록 내려감을 확인할 수 있다. 다만 D peak가 실험한 대부분의 샘플에서 보여서 아직 성장한 그라핀의 결합이 많은 것으로 보인다. 이러한 이유는 성장온도가 낮은 것이 일차 원인으로 생각되며 박막의 균일도 향상과 결함을 줄이기 위한 추가적인 개선 실험을 진행 중이다.

• The Journal of the Acoustical Society of Korea
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• v.26 no.8
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• pp.381-389
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• 2007

In this paper, the measuring method of underwater acoustic communication channel characteristics in the shallow water using the autocorrelation characteristic of PN sequence and the undorwater communication channel analysis results from the received signal sample data are described. For measuring the underwater acoustic communication channel characteristics, two PN sequences are used as a transmitted data of I-channel and Q-channel of QPSK symbol and QPSK signal is transmitted with symbol rate of 5 kHz and carrier frequency of 25 kHz. In the receiver the received signal, which pass through 675 m and 1492 m, is sampled and then stored. Using the stored sample data, the scattering function, coherent time, delay power profile, spaced-tone autocorrelation function, delay spread, and coherent bandwidth of each propagation distance cases are analyzed. Based on the analysis results, several guidelines are suggested for the design and implementation of underwater transmission system.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.97-102
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• 2008

A wireless sensor network consists of many sensors that collect and transmit physical or environmental conditions at different locations to a server continuously. Many researches mainly focus on processing continuous queries on real-time data stream. However, they do not concern the problem of storing the historical data, which is mandatory to the historical queries. In this paper, we propose two time-based storage methods to store the sensor data stream and reduce the managed tuples without any loss of information, which lead to the improvement of the accuracy of query results.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.5
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• pp.419-425
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• 2017

This paper presents CMOS UWB RFIC based radar system for high speed target detection. The system can achieve resolution of 15 cm and detection range of 15 m. For developed system, single chip CMOS UWB IC is implemented. To reduce the measuring and processing time, envelope detection and equivalent time sampling technique are used. Measurement results show that the bandwidth and center frequency of UWB pulse can be adjusted in the range of 0.5 GHz~1.0 GHz, 3.5 GHz~4.5 GHz, respectively. Signal processing time including scan time over 15 m distance is about $150{\mu}sec$.

• Korean Journal of Optics and Photonics
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• v.11 no.5
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• pp.347-352
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• 2000

We have stabIhzed the laser frequency of a commercial dIode laser using a ULE (Ultra-low expansion material) reference cavIty and the cunent modulation charactenstics of the dIode itself The liuewIdth of the frce running laser was about a 1 MHz (rms) for a sampling time of 1 s and the drift rate was 300 kHz/s. Vvhen the laser is locked to oue sIde of the transmission signal from the ULE reference cavity, the lincwidth was reduced to 46 kHz (nus) for a sampling time longer than 10 ms. The root Allan variance was less than 2 kHz for a sampling time langeI than10 ms. 10 ms.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.667-669
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• 2005

최근 새로운 데이터마이닝 방법인 지도 군집화가 소개되고 있다. 지도 군집화의 목적은 동일한 클래스가 한 군집에 포함되도록 하는 것이다. 지도 군집화는 데이터에 대한 배경 지식을 획득하거나 분류 방법의 성능을 향상시키기 위한 방법으로 사용된다. 그러나 군집화 방법에서 파생된 지도 군집화 역시 군집화 개수 설정 방법에 따라 효율성이 좌우된다. 따라서 클래스 분포에 따라 최적의 지도 군집화 개수를 찾기 위해 진화알고리즘을 적용할 수 있으나, 진화알고리즘은 대용량 데이터를 처리할 경우 수행 시간이 증가되어 효율성이 감소되는 문제가 있다. 본 논문은 지도 군집화보다 강인한인 지도 퍼지 군집화를 효율적으로 생성하기 위해 진화성이 우수한 휴리스틱 분할 진화알고리즘을 제안한다. 휴리스틱 분할 진화알고리즘은 개체를 생성할 때 문제영역의 지식을 반영한 휴리스틱 연산으로 탐색 시간을 단축시키고, 개체 평가 단계에서 전체 데이터 대신 샘플링된 부분 데이터들을 이용하여 진화하는 분할 진화 방법으로 수행 시간을 단축시킴으로써 진화알고리즘의 효율성을 높인다. 또한 효율적으로 개체를 평가하기 위해 지도 퍼지 군집화 알고리즘인 지도 분할 군집화 알고리즘(SPC: supervised partitional clustering)을 제안한다. 제안한 방법은 이차원 실험 데이터에 대해서 정확성과 효율성을 분석하여 그 타당성을 확인한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.1-8
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• 2009

In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. The optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement is generally accepted. The Bayesian parametric inference of model using log Poisson execution time employ tool of Markov chain(Gibbs sampling and Metropolis algorithm). In a numerical example by T1 data was illustrated. make out estimating software optimal release time from the maximum likelihood estimation and Bayesian parametric estimation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.5
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• pp.501-509
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• 2011

Software defined radio(SDR) has a goal that places the analog-to-digital converter(ADC) as near the antenna as possible. But current technique actually can't do analog-to-digital converting about RF band signals. So one method is studying that samples RF band signals to IF band. One of the ways Sub-Sampling technique can convert signals from RF band to IF band without oscillator. If Sub-Sampling technique is used, over 2 bands can convert signals from RF band to IF band. But due to the filter performance in RF band, it is possible to generate interference between signals that is converted in low frequency band. The effect degrades performance. In this paper, we propose one method that uses time division multiplexing(TDM) method as a solution to avoid interference between signals. By doing TDM and Sub-Sampling at the same time that method can get signals without large changes of structures.