• 대한가정학회지
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• 제36권12호
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• pp.25-41
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• 1998

HALS(Hypermedia-Aided Learning System) is very useful computer networking educational system in high information society, and was developed by Kyungwon University. This system has three characteristics; 1) face to face learning, 2) ultra high speed information networing, 3) web based hypermedia courseware. So, the purpose of this study is to try the application to pre-parent eucational program(session 4 : becoming parents through the experience of pregnancy and childbirth). For this purpose it is described the definition and characteristics of HALS. Next, it is represented the model of pre-parent educational program applied to HALS and the pictures of the session 4 (initial window, help function window, etc).

• Journal of Welding and Joining
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• 제32권2호
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• pp.43-47
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• 2014

Famous artificial neural network (ANN) is applied to predict proper process window of arc welding. Target weldment is variously combined lap joint fillet welding of automotive steel plates. ANN's system variable such as number of hidden layers, perceptrons and transfer function are carefully selected through case by case test. Input variables are welding condition and steel plate combination, for example, welding machine type, shield gas composition, current, speed and strength, thickness of base material. The number of each input variable referred in welding experiment is counted and provided to make it possible to presume the qualitative precision and limit of prediction. One of experimental process windows is excluded for predictability estimation and the rest are applied for neural network training. As expected from basic ANN theory, experimental condition composed of frequently referred input variables showed relatively more precise prediction while rarely referred set showed poorer result. As conclusion, application of ANN to arc welding process window derivation showed comparatively practical feasibility while it still needs more training for higher precision.

• ETRI Journal
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• 제16권1호
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• pp.17-34
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• 1994

In this paper, we present an architecture of the constant false alarm rate (CFAR) detector called the generalized order statistics (GOS) CFAR detector, which covers various order statistics (OS) and cell-averaging (CA) CFAR detectors as special cases. For the proposed GOS CFAR detector, we obtain unified formulas for the false alarm and detection probabilities. By properly choosing coefficients of the GOS CFAR detector, one can utilize any combination of ordered samples to estimate the background noise level. Thus, if we use a reference window of size N, we can realize $(2^N-1)$ kinds of CFAR processors and obtain their performances from the unified formulas. Some examples are the CA, the OS, the censored mean level, and the trimmed mean CFAR detectors. As an application of the GOS CFAR detector to multiple target detection, we propose an algorithm called the adaptive mean level detector, which censors adaptively the interfering target returns in a reference window.

• Nuclear Engineering and Technology
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• 제49권6호
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• pp.1172-1180
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• 2017

The application of Monte Carlo (MC) to large-scale fixed-source problems has recently become possible with new hybrid methods that automate generation of parameters for variance reduction techniques. Two common variance reduction techniques, weight windows and source biasing, have been automated and popularized by the consistent adjoint-driven importance sampling (CADIS) method. This method uses the adjoint solution from an inexpensive deterministic calculation to define a consistent set of weight windows and source particles for a subsequent MC calculation. One of the motivations for source consistency is to avoid the splitting or rouletting of particles at birth, which requires computational resources. However, it is not always possible or desirable to implement such consistency, which results in inconsistent source biasing. This paper develops an original framework that mathematically expresses the coupling of the weight window and source biasing techniques, allowing the authors to explore the impact of inconsistent source sampling on the variance of MC results. A numerical experiment supports this new framework and suggests that certain classes of problems may be relatively insensitive to inconsistent source sampling schemes with moderate levels of splitting and rouletting.

• 반도체디스플레이기술학회지
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• 제17권3호
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• pp.108-112
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• 2018

In this paper, a respiration measurement method using FMCW signal for off-the-shelf smartphone is presented and investigated. The proposed algorithm transmits FMCW signal periodically instead of transmitting continuously so that one can reduce the power consumption from speaker in smartphone and the algorithm complexity. In order to eliminate the clicking noise generated when transmitting FMCW signal, Tukey window with ${\alpha}=0.01$ is applied to prevent the noise from being heard. An application program for Android OS which can transmit FMCW signal through speaker and record the reflected signals through MIC has been developed. Since the total duration of the signal transmission is set to 20msec per 1 second for the experiments, the power consumption can be decreased by 80% compared to the continuous transmission. It was confirmed that the clicking noise is inaudible as long as a smartphone is located at more than 10cm from ears. In the experiments on a sleeping child, the breathing signal of about 0.27Hz was measured.

• Communications for Statistical Applications and Methods
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• 제31권1호
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• pp.87-104
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• 2024

Most functional magnetic resonance imaging (fMRI) studies in resting state have assumed that the functional connectivity (FC) between time series from distinct brain regions is constant. However, increased interest has recently been in quantifying possible dynamic changes in FC during fMRI experiments. FC study may provide insight into the fundamental workings of brain networks to brain activity. In this work, we focus on the specific problem of estimating the dynamic behavior of pairwise correlations between time courses extracted from two different brain regions. We compare the sliding-window techniques such as moving average (MA) and exponentially weighted moving average (EWMA), dynamic causality with vector autoregressive (VAR) model, dynamic conditional correlation (DCC) based on volatility, and the proposed alternative methods to use differencing and recursive residuals. We investigate the properties of those techniques in a series of simulation studies. We also provide an application with major depressive disorder (MDD) patient fMRI data to demonstrate studying dynamic correlations.

• 한국콘텐츠학회논문지
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• 제8권12호
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• pp.214-221
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• 2008

지자기는 시간의 경과와 더불어 변동하는데 지자기의 화석이라 할 수 있는 각종 잔류자화를 통해 그 흔적을 남겨두고 있다. 고고지자기 연대법은 소토의 열잔류자화를 통해 과거의 지자기 변동을 측정하여 소토가 출토되는 고고유적의 연대를 알아내는 연대측정법이다. 본고에서는 울산 매곡동 Ⅰ지구 유적의 측구부탄요에서 채취한 14점의 소토시료를 통해 고고유적에 대한 고고지자기 연대법의 적용 방법을 알아보았다. 유물이 출토되지 않아 주변 유구들과의 배치관계 등을 통해 삼국시대라고 추정한 측구부탄요의 불확실한 고고학적 편년에 대해, 고고지자기 연대법에 의해 산출된A.D.440${\pm}$15년의 연대는 확실한 증거자료가 되었다. 고고지자기 연대법은 오염제거가 비교적 용이하고 특히 측정연대의 오차 폭이 상당히 좁아서 신뢰도 높은 결과를 구할 수 있으므로, 고고유적의 연대측정에 있어서 유력한 자연과학적 분석법의 한 분야로 정착되어 가고 있다.

• 한국전기전자재료학회논문지
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• 제27권4호
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• pp.203-208
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• 2014

In this study, Sputtering method was used to grow Al-dopes ZnO films on a CIGS absorber layer, in order to examine the effect of TCO on properties of CIGS solar cell devices. Structural, electrical and optical properties were investigated by varied thickness of Al-dopes ZnO films. Also, relation to the application as a window layer in CIGS thin film solar cell were studied. It was found that the electrical and structural properties of ZnO:Al film improved with increasing its thickness. However, the optical properties degraded. Jsc of the fabricated CIGS based solar cells was significantly influenced by the variation of the ZnO:Al window layer thickness. Because ZnO:Al window layer is one of the Rs factors in CIGS solar cell. Rs has the biggest influence on efficiency characteristic. In order to obtain high efficiency of CIGS solar cell, ZnO:Al window layer should be fabricated with electrically and optically optimized.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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• pp.126-129
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• 2007

최근 유무선 혼합망의 사용이 증가됨에 따라 무선망의 핸드오프, 경로 손실, 페이딩, 등과 같은 전송 오류의 원인을 개선하기 위한 연구가 전개되고 있다. 유선의 신뢰성을 보장하는 표준 TCP, SCTP를 무선망에 적용하는 것은 혼잡제어, 흐름제어의 메커니즘을 적용함으로써 데이터 전송의 효율을 저하시킨다. 본 연구는 무선망에서 SCTP를 적용하기 위해서 SCTP와 SNOOP을 혼합하는 것으로, 무선망에서 전송오류가 발생했을 때 BS의 동작과정을 개선한 것이다. BS(Basic Station : 기지국)는 전송오류 시 ZWP(Zero Window Probe)를 MN(Mobile Node:이동노드)에게 보내어 경로와 상태를 확인하고 RWND를 갱신하여 에러상태를 확인한다. 그리고 새로운 경로를 선택하고, FH(Fixed Host : 고정호스트)에게는 ZWA(Zero Window Advertisement)를 보내어 혼잡제어나, 흐름제어 메커니즘을 호출하는 것을 방지하고 대기상태로 기다리게 한다. 무선망의 연결이 안정된 후에 데이터 전송을 함으로써 데이터의 전송 효율을 약 10% 향상한다.

• 한국기계가공학회지
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• 제8권4호
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• pp.110-121
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• 2009

It is essential to embed product quality in the design process to win the global competition. Many components found in many products including automobiles and electronic devices are fabricated using sheet metal forming processes. Wrinkle and fracture are two types of defects frequently found in the sheet metal forming process. Reducing such defects is a hard problem as they are affected by many uncontrollable factors. Attempts to solve the problem based on traditional deterministic optimization theories are often led to failures. Furthermore, the wrinkle and fracture are conflicting defects in such a way that reducing one defect leads to increasing the other. Hence, it is a difficult task to reduce both of them at the same time. In this research, a new design method for reducing the rates of conflicting defects under uncontrollable factors is presented by using operating window and a sequential search procedure. A new SN ratio is proposed to overcome the problems of a traditional SN ratio used in the operating window technique. The method is applied to optimizing the robust design of a sheet metal forming process. To show the effectiveness of the proposed method, a comparison is made between the traditional and the proposed methods using simulation software, applied to a design of particular sheet metal forming process problem. The results show that the proposed method always gives a more robust design that is less sensitive to noises than the traditional method.