• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.7B
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• pp.1351-1360
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• 1999

In frequency selective channels, conventional PN code acquisition schemes are not ideal candidates. This is because they are primarily designed for the AWGN channel. In this paper, a direct-sequence spread-spectrum(DSSS) PN code acquisition system based on digital matched filtering (DMF) with automatic threshold control(ATC) algorithm is presented and analyzed with regards to probability of detection and probability of false alarm. These two important probabilities, the probability of detection ($P_D$) and the probability of false alarm ($P_{FA}$) are derived and analyzed in considering Doppler shift, sampling rate, mean acquisition time, and PN chip rate in frequency selective Rayleigh fading channel when using serial-search method as detection technique. From computer simulation results of a DMF acquisition system model, it is shown that the performance of the acquisition system using ATC algorithm is better than that of constant threshold system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.8
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• pp.1356-1362
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• 2008

In this paper. we propose a novel auto white balance algorithm which is one of the representative functions on cameras. White balance is the process of removing unrealistic color casts, which will make the captured white objects appear white. For white balance, we employ $CIEL^*a^*b^*$ color space which is the most complete color model available and is conventionally used to describe all the colors visible to the human eye and estimate the color difference on white objects with distribution of the image which is called the reference white estimation. For accuracy, we form groups or sets of pixels that are altered by the light sources and other elements. Moreover, Standard group is decided by judgment of specific-case images with the information of groups. Then, the reference white estimation is performed by the color sampling which is to choose all the accumulated pixels contained within the standard group. The color gain for image compensation by considering the color saturation is also computed. the proposed algorithm provides a significant performance.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.141-141
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• 2012

X-선 반사율 측정법(XRR)은 비파괴적인 측정방법과 수 nm의 두께를 정밀하게 측정할 수 있는 장점으로 인하여 반도체 산업현장에서 많은 관심과 연구가 이루어지고 있다. 이러한 XRR은 두께 분석 측정의 정밀도를 향상시키고 부정확한 결과를 방지하기 위하여 측정기기를 검증하고 보정할 수 있는 두께 표준물질을 필요로 하고 있다. 본 연구에서는 XRR용 두께 표준물질을 이온빔 스퍼터링 증착방법을 이용하여 제작하였다. 두께 표준물질 제작에 있어 공기 중 노출에 의해 산화가 되지 않는 산화물 박막과 산화물 기판을 선택하였다. 후보물질은 glass, sapphire, quartz, SiO2기판과 HfO2, Ta2O5, Cr2O3 산화물 타켓을 이용하여 박막을 제작하였다. 제작된 후 보물질은 교정된 XRR을 통하여 박막의 두께, 계면 및 표면 거칠기, 밀도등 박막의 구조특성분석을 하였다. Glass, quartz의 경우 기판 표면 거칠기가 좋지 않아 제작된 샘플의 X-선 반사율 곡선이 급격히 떨어지면서 측정되는 각도의 영역이 작아졌다. Sapphire로 제작한 시편은 측정된 데이터와 simulation의 curve fitting이 양호하지 않았다. 이 중 SiO2기판을 사용하고 HfO2박막을 증착한 샘플이 다른 후보물질보다 XRR curve fitting 결과가 가장 양호하여 두께 표준물질로 응용하기에 적절하였다. 그리고 AFM (Atomic Force MicroScope)을 이용하여 기판의 거칠기 및 증착한 박막표면 거칠기 측정을 하였고, TEM (Transmission Electron Microscope)으로 두께 측정을 하여 XRR로 얻은 데이터와 비교하였다. 이러한 결과를 토대로 XRR용 두께 표준물질 제작할 수 있었고, 추후 불확도 평가 및 비교실험을 통하여 제작된 XRR용 두께 표준물질을 이용할 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.847-849
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• 2008

상수도시설은 준공후 관련지자체에 이관 관리하는 시설로서 사용관종이 현재 다양하게 생산 보급되고 있어 관종 선정시 다각적인 측면에서 검토하여 채택하여야 한다. 최근 한국토지공사에서 사용하고 있는 상수도 관종은 대부분 택지개발계획 등 인허가 당시부터 관리주체인 지자체 등과의 협의과정을 거쳐 선정되는 경우가 많아 자재선택에 한계성이 있다. 이를 극복하기 위해서는 자재 성능에 대한 공사내 명확한 기준이 제시되어야 한다. 따라서 본 연구에서는 공사가 시공하여 준공한 사업지구내 매설된 상수도 자재에 대한 샘플링조사를 통하여 적정한 관의 선정과 년도별, 관종별, 용도별 사용 현황을 파악하여 향후 대응방안을 마련하고, 기존 상수도관의 선정시 비교검토된 관의 제원(관의 재질 및 개요, 생산규격, 특성, 관접합 및 수밀성, 시공성, 경제성, 공사비, 관종선정(안) 결정)별 비교검토서를 보완 작성하고, 국내에서 생산되고 있는 각종 상수도관에 대한 정량적 분석을 수행하였다. 이를 통하여 상수도 관종 설계 및 시공에 대한 적용방안을 마련하였다.

• Journal of KIISE:Databases
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• v.30 no.2
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• pp.176-183
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• 2003

Various techniques including histograms, sampling and parametric techniques have been proposed to estimate query result sizes for the query optimization. Histogram-based techniques are the most widely used form for the selectivity estimation in relational database systems. However, in the spatio-temporal databases for the moving objects, the continual changes of the data distribution suffer the direct utilization of the state of the art histogram techniques. Specifically for the future queries, we need another methodology that considers the updated information and keeps the accuracy of the result. In this paper we propose a novel approach based upon the duality and the marginal distribution to construct a histogram with very little time since the spatio-temporal histogram requires the data distribution defined by query predicates. We use data synopsis method in the dual space to construct spatio-temporal histograms. Our method is robust to changing data distributions during a certain period of time while the objects keep the linear movements. An additional feature of our approach supports the dynamic update incrementally and maintains the accuracy of the estimated result.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.8A
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• pp.1367-1377
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• 2001

고전력 증폭기의 비선형성, 수신 주파수 편차 및 심볼 타이밍 편차가 모두 존재하는 실제 IEEE 802.11a 무선 LNA 시스템의 성능을 분석하였다. 이러한 시스템에서 데이터가 OFDM 변조된 후 주파수 선택적 Rayleigh 페이딩 채널을 통하여 전송될 때의 비트 오류율을 구하였다. 증폭기의 최대 출력 전력 대 평균 출력 전력비가 6dB이며 주파수 편차가 0.01이고 심볼 타이밍 편차가 2 샘플링 주기 시간인 경우에, 이 무선 LAN 시스템에서 10-5의 비트 오류율을 얻기 위하여 필요한 $E_{b}$ /$N_{o}$ 의 크기는 대략 20~24dB로 분석되었다. 이와 같은 실제 시스템과 정확한 채널 추정, 선형 증폭기, 정확한 주파수 동기 및 심볼 동기 가정의 이상적인 시스템간의 성능을 비교한 결과, 같은 크기의 비트 오류율을 얻기 위하여 이 실제 시스템에서 대략 1~3dB 정도의 $E_{b}$ /$N_{o}$ 가 더 소요된다.

• Journal of KIISE:Databases
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• v.33 no.2
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• pp.214-223
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• 2006

Recently there is a need to store and process enormous spatial data in spatio-temporal databases. For effective query processing in spatio-temporal databases, selectivity estimation in query optimization techniques, which approximate query results when the precise answer is not necessary or early feedback is helpful, has been studied. There have been selectivity estimation techniques such as sampling-based techniques, histogram-based techniques, and wavelet-based techniques. However, existing techniques in spatio-temporal databases focused on selectivity estimation for future extent of moving objects. In this paper, we construct a new histogram, named T-Minskew, for query optimization of past spatio-temporal data. We also propose an effective selectivity estimation method using T-Minskew histogram and effective histogram maintenance technique to prevent frequent histogram reconstruction using threshold.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.3
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• pp.263-273
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• 2008

The precision of sensors' position is particularly important in the application of road extraction or digital map generation. In general, the various ranging solution systems such as GPS, Total Station, and Laser Ranger have been employed for the position of the sensor. Basically, the ranging solution system has problems that the signal may be blocked or degraded by various environmental circumstances and has low temporal resolution. To overcome those limitations a IMU/range integrated system could be introduced. In this paper, after pointing out the limitation of extended Kalman filter which has been used for workhorse in navigation and geodetic community, the two sampling based nonlinear filters which are sigma point Kalman filter using nonlinear transformation and carefully chosen sigma points and particle filter using the non-gaussian assumption are implemented and compared with extended Kalman filter in a simulation test. For the ranging solution system, the GPS and Total station was selected and the three levels of IMUs(IMU400C, HG1700, LN100) are chosen for the simulation. For all ranging solution system and IMUs the sampling based nonlinear filter yield improved position result and it is more noticeable that the superiority of nonlinear filter in low temporal resolution such as 5 sec. Therefore, it is recommended to apply non-linear filter to determine the sensor's position with low degree position sensors.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.12 s.354
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• pp.55-64
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• 2006

This work proposes a calibration-free 14b 70MS/s 0.13um CMOS ADC for high-performance integrated systems such as WLAN and high-definition video systems simultaneously requiring high resolution, low power, and small size at high speed. The proposed ADC employs signal insensitive 3-D fully symmetric layout techniques in two MDACs for high matching accuracy without any calibration. A three-stage pipeline architecture minimizes power consumption and chip area at the target resolution and sampling rate. The input SHA with a controlled trans-conductance ratio of two amplifier stages simultaneously achieves high gain and high phase margin with gate-bootstrapped sampling switches for 14b input accuracy at the Nyquist frequency. A back-end sub-ranging flash ADC with open-loop offset cancellation and interpolation achieves 6b accuracy at 70MS/s. Low-noise current and voltage references are employed on chip with optional off-chip reference voltages. The prototype ADC implemented in a 0.13um CMOS is based on a 0.35um minimum channel length for 2.5V applications. The measured DNL and INL are within 0.65LSB and l.80LSB, respectively. The prototype ADC shows maximum SNDR and SFDR of 66dB and 81dB and a power consumption of 235mW at 70MS/s. The active die area is $3.3mm^2$.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.889-900
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• 2006

Even though sensor networks are different in user requests and data characteristics depending on each application area, the existing researches on stream data transmission problem focus on the performance improvement of their methods rather than considering the original characteristic of stream data. In this paper, we introduce a hierarchical or distributed sensor network architecture and data model, and then evaluate the multivariate data reduction methods suitable for user requirements and data features so as to apply reduction methods alternatively. To assess the relative performance of the proposed multivariate data reduction methods, we used the conventional techniques, such as Wavelet, HCL(Hierarchical Clustering), Sampling and SVD (Singular Value Decomposition) as well as the experimental data sets, such as multivariate time series, synthetic data and robot execution failure data. The experimental results shows that SVD and Sampling method are superior to Wavelet and HCL ia respect to the relative error ratio and execution time. Especially, since relative error ratio of each data reduction method is different according to data characteristic, it shows a good performance using the selective data reduction method for the experimental data set. The findings reported in this paper can serve as a useful guideline for sensor network application design and construction including multivariate stream data.