• 한국분무공학회지
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• 제10권3호
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• pp.1-8
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• 2005

The purpose of this study is to investigate the internal structure of the impinged diesel spray at various experimental conditions. To examine the effect of various factors on the development of a diesel spray impinging on the wall, experiments were conducted at the various Injection pressures, wall distances from the nozzle tip and angles of wall inclination. The PIV system consists of a double pulsed Nd:YAG laser was utilized to analyze the internal flow structure of impinged diesel sprays. The velocity fields from the PIV system were compared with the results measured by the phase Doppler particle analyzer(PDPA)system. The results show that internal flow pattern of the impinged spray was similar with the results from the PDPA system. The radial velocity of the impinged spray was increased with the increase in the injection pressure and near the nozzle-wall distance. The generation of vortex was also promoted with the Increase in angles of wall inclination.

• 한국전자파학회논문지
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• 제28권11호
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• pp.872-879
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• 2017

본 논문은 direct digital synthesizer, 연산 증폭기 및 이득/위상 검출기로 구성된 소형 임피던스 분석기를 사용하여 차분 주파수 영역 반사 계측을 기반으로 한 케이블 결함 모니터링 시스템을 제시한다. 제안된 시스템은 주파수 영역 반사계측을 위한 고가의 벡터 네트워크 분석기를 저비용으로 대체할 수 있으므로, 장기간 동안 다중 지점을 모니터링하는 센서 네트워크 구성이 가능하다. 이 시스템의 성능은 전원 케이블의 결함 지점을 진단하는 실험을 통해 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.404-420
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• 2021

In this paper, an automatic system of locating the indoor area with weak or no mobile signal was proposed and demonstrated experimentally by using the Internet of Things (IoT) technology. Nowadays, the technicians of mobile services providers need to go along with numerous heavy equipment to measure and record the mobile signal strength at outside environment. Recently, there are systems proposed to do such measurement at outdoor area by using the IoT technology automatically. However, these works could not be applied in the indoor area since there are difficulties to do the indoor mapping and positioning. In this work, the Bluetooth Low Energy (BLE) was used to tackle these two difficulties. After a proper placement of BLE in the testing site, while the technician walk around with a handheld analyzer, the data can be obtained accordingly for further analysis in the proposed system which includes the construction of floor plan, detection of mobile signal strength and suggestion of indoor base stations. The gift wrapping and centroid algorithms were used during the analysis. The experimental results showed that the proposed system successfully demonstrated the indoor mapping, positioning of weak mobile signal area and suggestion of indoor base stations for the normal rectangular rooms with an area of 100 m² on single floor.

• 한국인터넷방송통신학회논문지
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• 제23권5호
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• pp.115-121
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• 2023

RISC-V는 오픈소스 명령어집합 아키텍처로, 누구나 자유롭게 RISC-V 마이크로프로세서를 설계하고 구현할 수 있다. 본 논문에서는 RISC-V 아키텍처를 설계하고 시뮬레이션한 후, FPGA에 구현 및 합성하고 로직아날라이저(ILA)를 이용하여 검증하였다. RISC-V 코어는 SystemVerilog로 작성되어 효율적인 설계와 높은 재사용성을 나타내며, 다양한 응용 분야에서 사용 가능하다. Vivado를 사용하여 Ultra96-V2 FPGA보드에 합성함으로써 RISC-V 코어를 하드웨어로 구현하였고, 통합로직아날라이저(ILA)를 통해 설계의 정확성과 동작을 검증하였다. 실험 결과, 설계된 RISC-V 코어는 기대한 동작을 수행함을 확인하였으며, 이러한 연구 결과는 RISC-V 기반 시스템 설계와 검증에 중요한 기여를 할 수 있다.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.129-134
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• 2024

This study aims to talk about the necessity of solving the PFC gas emission problem raised by the recent development of the semiconductor industry and the remote plasma source method monitoring system used in the semiconductor industry. The 'monitoring system' means that the researchers applied machine learning to the existing monitoring technology and modeled it. In the process of this study, Residual Gas Analyzer monitoring technology and linear regression model were used. Through this model, the researchers identified emissions of at least 12700mg CO2 to 75800mg CO2 with values ranging from ion current 0.6A to 1.7A, and expect that the 'monitoring system' will contribute to the effective calculation of greenhouse gas emissions in the semiconductor industry in the future.

• 한국자기학회지
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• 제20권1호
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• pp.18-23
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• 2010

본 연구에서는 벡터 네트워크 분석기(vector network analyzer; VNA)와 코플라나 전송선(coplanar waveguide; CPW)을 이용한 강자성 공명 측정 방법을 개발하기 위해 두께가 각각 10, 20, 40 nm인 $Ni_{81}Fe_{19}$(Permalloy; Py) 합금 박막을 증착하여 측정하였다. 유리기판 위에 패터닝 작업을 거쳐 CPW를 형성하고 제작된 CPW 위에 Py 박막을 직접 올려놓아 시료의 반사/투과계수인 S-파라미터를 측정하였다. 외부자기장을 0 Oe에서 490 Oe까지 변화 시키며 측정해본 결과 Py 박막의 공명주파수는 2.5 GHz에서 7 GHz 범위 내에서 나타났으며 외부자기장의 세기가 커짐에 따라 공명주파수도 증가함을 확인하였다. S-파라미터를 분석하여 나온 공명주파수와 반치폭을 이용하여 포화자화량과 길버트 감쇠 상수를 구한 결과 Py 박막 40 nm에서 길버트 감쇠 상수 값 0.0124($\pm$0.0008)를 구했고 이는 선행 연구되었던 일반적인 강자성 공명 측정값과 일치함을 볼 수 있었다. 또한 두께별 의존도를 조사해본 결과 두께가 작아질수록 S-파라미터의 세기가 작아지는 것을 확인 할 수 있었으며, 강자성공명 분석 결과에서 Py 박막의 두께가 10 nm에서 40 nm까지 증가할 때 유효 포화 자화가 7.205($\pm$0.013) kOe에서 7.840($\pm$0.014) kOe로 증가하는 것을 확인 할 수 있었다.

• Journal of Information Technology Applications and Management
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• 제24권1호
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• pp.25-32
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• 2017

For repairable software systems, the Mean Time Between Failure (MTBF) is used as a measure of software system stability. Therefore, the evaluation of software reliability requirements or reliability characteristics can be applied MTBF. In this paper, we want to compare MTBF in terms of parameter estimation using Makeham life distribution. The parameter estimates used the least square method which is regression analyzer method and the maximum likelihood method. As a result, the MTBF using the least square method shows a non-decreased pattern and case of the maximum likelihood method shows a non-increased form as the failure time increases. In comparison with the observed MTBF, MTBF using the maximum likelihood estimation is smallerd about difference of interval than the least square estimation which is regression analyzer method. Thus, In terms of MTBF, the maximum likelihood estimation has efficient than the regression analyzer method. In terms of coefficient of determination, the mean square error and mean error of prediction, the maximum likelihood method can be judged as an efficient method.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.175-178
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• 1996

The purpose of this thesis is the propose of various signal processing algorithm for the ECG(electrocardiogram) and the design of realtime automated ECG analyzer feasible with these algorithms. The algorithms are composed of (1)filtering procedure fer the estimation and removal of baseline drift, 60Hz power line interference, and muscle artifacts (2)detection procedure of QRS complex and P wave (3)typification procedure for the pattern classification according to the morphologies (4) selection of representative beat, significant point and wave boundary decision procedure and (5) parameter extraction and diagnosis procedure. All verifications are carried out between the algorithms proposed in this paper and other algorithms already proposed by many researchers, for the objective comparison in each procedure. The efficiency of proposed algorithms are demonstrated with the aid of internationally validated CSE database and the performances of filtering procedure are compared on artificial noise signal as well as actual ECG signals with appropriate noise components. for the comparison on the performance of designed automated ECG analyzer, the diagnosis results were compared with ECG analyzer manufactered by Fukuda denshi in Japan.

• 전기학회논문지
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• 제68권1호
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• pp.102-107
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• 2019

This paper proposes a method to improve the mass spectral detection performance of the residual gas analyzer. By improving the mode estimation method for setting the threshold value and improving the additive noise elimination method, it is possible to detect mass spectrums having low peak values of the threshold level difficult to distinguish from noise. Ion signal blocks for each mass index with noise removed by the improved method are effective for eliminating invalid ion signals based on the linear and quadratic fittings. The mass spectrum can be obtained from the quadratic fitted curves for the reconstructed ion signal block using only the valid ion signals. In addition, the resolution of the mass spectrum can be improved by correcting the error caused by the shift of the spectral peak position. To verify the performance of the proposed method, computer simulations were performed using real ion signals obtained from the residual gas analysis system under development. The simulation results show that the proposed method is valid.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.77-84
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• 2023

The utilization of GPUs on general-purpose computers is currently on the rise due to the increase in its programmability and performance requirements. The utility of tools like NVIDIA's CUDA have been designed to allow programmers to code algorithms by using C-like language for the execution process on the graphics processing units GPU. Unfortunately, many of the performance and correctness bugs will happen on parallel programs. The CUDA tool support for the parallel programs has not yet been actualized. The use of a dynamic analyzer to find performance and correctness bugs in CUDA programs facilitates the execution of sophisticated processes, especially in modern computing requirements. Any race conditions bug it will impact of program correctness and the share memory bank conflicts to improve the overall performance. The technique instruments the programs in a way that promotes accessibility of the memory locations accessed by different threads well as to check for any bugs in the code of a program. The instrumented source code will be used initiated directly in the device emulation code of CUDA to send report for the user about all errors. The current degree of automation helps programmers solve subtle bugs in highly complex programs or programs that cannot be analyzed manually.