• Proceedings of the KIEE Conference
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• 2003.04a
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• pp.281-284
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• 2003

본 논문에서는 비선형 단상부하에 의해 발생하는 전류 고조파를 보상하기 위한 단상능동전력필터의 제어방법을 제안한다. 정규의 단상에 시간지연을 주어 가상의 두 번째 상을 만들어 단상시스템을 두 축을 갖는 직교 좌표로 변환시킬 수 있다. 두 개의 상은 3상 2상 변환에서 사용하는 것과 같이 직교 좌표 시스템을 만들 수 있다. 이 것은 순시 무효전력을 계산하는 방법인 복소계산을 가능하게 한다. 고정 좌표계에서 순시무효전력이론을 적용한 기존의 방법 대신, 본 논문에서는 수정된 동기 좌표계를 이용하여 정상분과 역상분을 계산하여 보상전류 지령치를 결정하였다. 제안된 방법은 고조파저감과 PF개선에 있어 우수한 성능을 보여준다. 시뮬레이션 패키지(PSIM)를 사용하여 모의실험을 하였으며, 제안된 방법의 유효성을 입증하였다.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.10a
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• pp.35-40
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• 1999

PID 제어기를 이용한 피드백 제어가 공정 제어에 도입된 이래로 PID 제어 알고리즘 및 적정 파라미터 계산에 대한 연구가 계속 진행되어 왔다. 일반적으로 PID 제어기 파라미터는 제어대상 프로세스의 1차 시간지연 모델로 근사화 하여 계산하는 방법과 임계이득 및 임계주파수를 구하여 계산하는 방법이 있다. 본 논문에서는 먼저 발전플랜트의 변수들 사이의 인과관계를 표현하는 신호 흐름도와 현장에서 취득한 데이터를 이용한 보일러 온도제어 계통의 모델링 및 제어기의 구성에 관하여 기술하고자 한다. 이러한 현장 운전 데이터에 의해 산출된 프로세스 모델을 이용하여 임계이득 및 임계주파수에 의한 PI 제어기의 적정 파라미터를 구하고, PI 제어기에 현장 데이터를 입력하여 컴퓨터 시뮬레이션 함으로써 프로세스 모델 및 PI 제어기의 성능을 검증하고자 한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.149-152
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• 2000

통신기술의 발달과 정보화 사회로 빠르게 변화되면서, 유선ㆍ무선, 핸즈프리, 원거리 화상회의 등의 다양한 방식의 통신이 이루어지고 있다. 음성통신의 어려운 문제 중에 하나는 주위의 소음이다. 소음은 상황에 따라서 다양하고 복잡하여 그 특성을 분석하기가 어렵다. 소음의 특성과 반향 등을 분석하기 위해서는 수 천 개의 적응필터 탭이 필요하게 된다. 따라서 실시간 소음제거를 위해서는 계산량이 많아 어려움이 따르므로 계산량 감소를 위해 FFT연산에 근거한 주파수 영역의 FDAF 적응필터를 이용하게 되었다. 하지만 계산량은 상당히 감소되었지만, 적응필터의 차수가 증가하면서 시간지연과 하드웨어적으로 복잡하게 되어 블록의 차수를 줄일 수 있는 MDF를 비교 검토하였다.

• Fire Science and Engineering
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• v.22 no.3
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• pp.234-238
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• 2008

Autoignition suppression of hydrogen/air premixed mixtures by $CF_3CHFCF_3(HFP)$ was investigated computationally. Numerical simulation was performed in isobaric and homogeneous system to evaluate the induction times. The detailed chemistry of 93 species and 817 reaction mechanism was introduced for hydrogen/air/HFP mixtures. The result of pure hydrogen/air mixture show that the resulting value of induction time depends relatively weakly on the definition used event though there are various criteria for defining the induction time such as the inflection of temperature, OH and $O_2$ concentrations generally. Also, the autoignition temperature of $H_2/air$ mixture is estimated to about 850K, which is corresponds to the literature value. In the case of HFP addition in $H_2/air$ mixture, the results shows that there are several inflection points of radical concentration, and hence it might be to use the temperature for defining ignition delay. When HFP is added to stoichiometric $H_2/air$ mixture, the effect of ignition delay is outstanding above 10% HFP concentration. As HFP concentration increases, both dilution and chemical effects contribute to delay the ignition. Also, the chemical effect on the ignition delay is more considerable with the higher HFP concentration.

• Journal of KIISE:Information Networking
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• v.32 no.6
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• pp.668-675
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• 2005

With the proliferation of wireless network and the advances of the embedded systems, the traditional distributed systems begin to include the wireless embedded systems. Clock synchronization in the distributed systems is one of the major issues that should be considered for diverse Purposes including synchronization, ordering, and consistency. Many clock synchronization algorithms have been proposed over the years. Since clock synchronization in wireless embedded systems should consider the low bandwidth of a network and the poor resources of a system, most traditional algorithms cannot be applied directly. We propose a clock synchronization algorithm in wireless embedded systems, extending IEEE 802.11 standard. The proposed algorithm can not only achieve high precision by loosening constraints and utilizing the characteristics of wireless broadcast but also provide continuous time synchronization by tolerating the message losses. In master/slave structure the master broadcasts the time information and the stave computes the clock skew and the drift to estimate the synchronized time of the master. The experiment results show that the achieved standard deviation by the Proposed scheme is within the bound of about 200 microseconds.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.2
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• pp.95-98
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• 2013

The LMS(Least Mean Square) algorithm, one of the most famous, is generally used because of tenacity and high mating spots and simplicity of realization, But it has trade-off between nonuniform collection and EMSE(Excess mean square error). To overcome this weakness, a variable step size is used widely, but it needs a lot of calculation loads. In this paper, we suggest changed algorithm in case of environment changes of cars and reduce amount of calculation as it uses original signal and noise signal of IGC(Instantaneous Gain Control) algorithm. In this paper, logarithmic function is removed because of real-time processing IGC. The performance of proposed algorithm is tested to adaptive noise canceller in automobile.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.5
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• pp.459-467
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• 2009

Purpose: The maximum likelihood-expectation maximization (ML-EM) is the statistical reconstruction algorithm derived from probabilistic model of the emission and detection processes. Although the ML-EM has many advantages in accuracy and utility, the use of the ML-EM is limited due to the computational burden of iterating processing on a CPU (central processing unit). In this study, we developed a parallel computing technique on GPU (graphic processing unit) for ML-EM algorithm. Materials and Methods: Using Geforce 9800 GTX+ graphic card and CUDA (compute unified device architecture) the projection and backprojection in ML-EM algorithm were parallelized by NVIDIA's technology. The time delay on computations for projection, errors between measured and estimated data and backprojection in an iteration were measured. Total time included the latency in data transmission between RAM and GPU memory. Results: The total computation time of the CPU- and GPU-based ML-EM with 32 iterations were 3.83 and 0.26 see, respectively. In this case, the computing speed was improved about 15 times on GPU. When the number of iterations increased into 1024, the CPU- and GPU-based computing took totally 18 min and 8 see, respectively. The improvement was about 135 times and was caused by delay on CPU-based computing after certain iterations. On the other hand, the GPU-based computation provided very small variation on time delay per iteration due to use of shared memory. Conclusion: The GPU-based parallel computation for ML-EM improved significantly the computing speed and stability. The developed GPU-based ML-EM algorithm could be easily modified for some other imaging geometries.

• Journal of Advanced Navigation Technology
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• v.20 no.2
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• pp.155-160
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• 2016

Recently, underwater acoustic communication (UWAC) has been studied by many scholars and researchers. In order to use UWAC, we need to estimate time difference between the two signals in underwater environment. Typically, there are major three methods to estimate the time-difference between the two signals such as estimating the arrival time of the first non-background segment and calculate the temporal difference, calculating the cross-correlation between the two signal to infer the time-lagged, and estimating the phase delay to infer the time difference. In this paper, we present calculating the cross-correlation between the two signals to infer the time-lagged to apply UWAC. We also present the experimental result of estimating the arrival time by using cross-correlation. We get EXCORR = 0.003055 second as the estimation error in mean absolute difference.

• Proceedings of the KIPE Conference
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• 2018.11a
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• pp.169-170
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• 2018

전압형 인버터의 경우 IGBT와 같은 전력용 반도체 소자를 사용하여 스위칭을 하게 되는데 이상적으로 on, off 되지 않기 때문에 시간 지연이 발생하게 되고, 공정 상의 이유로 기생 커패시터가 생성되어 사용자가 원하는 시간에 스위치의 on, off가 일어나지 않게 된다. 또한, 전압형 인버터에서는 스위칭 시에 윗단과 아랫단의 스위치가 단락되는 현상을 막기 위하여 데드타임이라는 여유 시간을 주게 되는데 이러한 요인들이 인버터의 비선형성을 일으키게 된다. 인버터의 비선형성은 사용자가 플랜트로 보내고자 하는 전압과 플랜트가 받는 전압 사이에 오차를 발생시키게 된다. 본 논문에서는 이러한 전압 왜곡을 보상하기 위하여 인버터로 전압을 직접 인가하는 방식을 통해서 전압 왜곡을 계산하고 실험적으로 얻어낸 정확한 데이터를 기반으로 수식에 대입하여 전압 보상을 진행한다. 본 논문에서는 측정 시퀀스를 하나의 알고리즘으로 구현하여 짧은 시간 내에 정확히 측정해 낼 수 있는 방식을 제안한다.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.525-533
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• 2009

Staging technique is used to provide files for a job in the Grid. If a staged file has large volume, the start time of the job is delayed and the throughput of job in the Grid may decrease. Therefore, removal of staging overhead helps the Grid operate more efficiently. In this paper, we present two methods for efficient file provisioning to clear the overhead. First, we propose RA-RFT, which extends RFT of Globus Toolkit and enables it to utilize RLS with replica information. RA-RFT can reduce file transfer time by doing partial transfer for each replica in parallel. Second, we suggest Remote Link that uses remote I/O instead of file transfer. Remote link is able to save storage of computational nodes and enables fast file provisioning via prefetching. Through various experiments, we argue that our two methods have an advantage over existing staging techniques.