• 한국화재소방학회논문지
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• 제12권2호
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• pp.29-42
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• 1998

최근에 소방안천과 관련된 화재 현상의 수치해석 연구률 위한 컴퓨터의 이용이 크게 중가하고 있는 실정이다. 밀폐된 구획의 창유리(3mm, 4mm 두쩨) 파단시 화재의 동륙성을 초사하기 위하여 zone형 컴퓨터 수치해석 프로그햄인 FASTLite(version 1.1.2)와 창유리 파단 시간 계산 프로그랩인 BREAKl(ver¬S sion 1.0)을 사용하여 foam sofa 화재에 대한 모의 실험융 하였다. 본 연구률 흉하여 개방- 혹온 멀쩨-상태의 구획 화재의 동륙성과 밀떼된 구획의 창유리 파단시 화재 동특성 사이에 큰 차이가 있옴을 확인하였다. 또 4mm 두째 유리의 경우 벼쟁상 연소로 인해 발생 . 축객된 미연소 가연성 가스에 의해 backdraft 현상이 발생합융 볼 수 있었고, 않run와 4mm 두께의 유리 내 . 외면에 온도차가 있음을 확인하였다. 본 연구의 결과는 소방대원의 화재진압 혹은 피난을 위한 소방천술과 소방안전 공학도의 구획 화재 관련 컴퓨터 수치 혜석 프로그램의 운영 기법을 향상시키는데 큰 도용이 되리라 생각된다.

• 한국조명전기설비학회지:조명전기설비
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• 제9권4호
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• pp.49-54
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• 1995

This paper is an experimental study on the influence of the demonstration effect by color and light source in show window. This experiment used semantic differentical method in model show window of actual size. The important outcomes of this study are summarized below. 1. In the result by factor analysis, three factors are classified. They are diversity, emotion, lightness. 2. In the study on the influence by light source, incandescence lamp is the most effective light source in every items. 3. In the result of the study on the influence by color source, according to each factor bring out following result ; Green is the most effective in diversity factor and ligthness factor. Yellow is the most effective in emotion factor.

• ETRI Journal
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• 제35권1호
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• pp.80-88
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• 2013

A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide reliable detection outdoors. In this paper, two algorithms are proposed to reduce false alarms and provide trustworthy quality to surveillance systems. We gather PIR signals outdoors, analyze the collected data, and extract the target features defined as window energy and alarm duration. Using these features, we model target and false alarms, from which we propose two target decision algorithms: window energy detection and alarm duration detection. Simulation results using real PIR signals show the performance of the proposed algorithms.

• Wind and Structures
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• 제17권2호
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• pp.185-202
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• 2013

The goal of this study was to investigate the vulnerability of roof tile systems and metal shutters to roof tile debris. Three phases addressed the performance of tile roof systems and metal shutters impacted by roof tile debris. The first phase experimentally evaluated the tile fragment size and quantity generated by a tile striking a tile roof system. The second phase experimentally quantified the puncture vulnerability of common metal panel shutter systems as a function of tile fragment impact speed. The third phase provided context for interpretation of the experimental results through the use of a tile trajectory model. The results provide supporting evidence that while metal panel window shutters provide significant protection against a prevalent form of windborne debris, these systems are vulnerable to tile fragment puncture in design level tropical cyclones. These findings correlate with field observations made after Hurricane Charley (2004).

• 한국재료학회:학술대회논문집
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• 한국재료학회 2011년도 춘계학술발표대회
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• pp.244.1-244.1
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• 2011

Memristors have been studied for many years due to better scalability than DRAMs and FLASH memories thus they are considered now as a strong candidate for future memories. To describe the electrical behavior of memristors, various memristor models have been developed. Especially, many kinds of window function have been used to express the non-linearity of memristors which are thought to cause different voltage-current relationships in memristors. In this paper, the previous memristor models with different window functions are compared and analyzed. This comparative study can be very useful in not only understanding the diversity in memristor's electrical behaviors but also developing memristor circuits. This work was financially supported by the SRC/ERC program of MOST/KOSEF (R11-2005-048-00000-0). The CAD tools were supported by the IC Design Education Center (IDEC), Korea.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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• pp.272-273
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• 2017

As businesses put a greater emphasis on outward appearances, the demand for external window cleaning has been on the rise. However, with the conventional labor-intensive window cleaning method, it is hard to meet this demand. Therefore, this study proposes a Life Cycle Cost (LCC) analysis model for a guiderail-type cleaning robot, and estimate the LCCs of the conventional method and the cleaning robot. The findings of this research are expected to serve as a guide for future development of a cleaning robot.

• 정보과학회지
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• 제5권2호
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• pp.49-60
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• 1987

待期 理論(Queuing, waiting-Line Theory)은 例을 지어 待期하고 있는 現 象, 즉 各種 窓口에서 特定의 서어비스를 提供받기 위하여 個體가 기다리는 現象 에 관한 理論이며, 이와같은 理論的인 現象을 待期行列現象(Queuing phenomena, Waiting-Line phenomena)이라고 한다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.2070-2075
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• 2008

Identification of steady-state is the first step in developing a fault detection and diagnosis (FDD) system. In a complete FDD system, the steady-state detector will be included as a module in a self-learning algorithm which enables the working system's reference model to "tune" itself to its particular installation. In this study, a steady-state detector of a residential air conditioner based on moving windows was designed. Seven representing measurements were selected as key features for steady-state detection. The optimized moving window size and the feature thresholds was suggested through startup transient test and no-fault steady-state test. Performance of the steady-state detector was verified during indoor load change test. From the research, the general methodology to design a moving window steady-state detector was provided for vapor compression applications.

• Journal of Magnetics
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• 제18권1호
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• pp.74-79
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• 2013

This paper proposes a sampling-based optimization method for electromagnetic design problems, where design sensitivities are obtained from the elaborate surrogate models based on the universal Kriging method and a local window concept. After inserting additional sequential samples to satisfy the certain convergence criterion, the elaborate surrogate model for each true performance function is generated within a relatively small area, called a hyper-cubic local window, with the center of a nominal design. From Jacobian matrices of the local models, the accurate design sensitivity values at the design point of interest are extracted, and so they make it possible to use deterministic search algorithms for fast search of an optimum in design space. The proposed method is applied to a mathematical problem and a loudspeaker design with constraint functions and is compared with the sensitivity-based optimization adopting the finite difference method.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.377-379
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• 2023

Concept drift detection on data stream is the major issue to maintain the performance of the machine learning model. Since the online stream is to be a function of time, the classical statistic methods are hard to apply. In particular case of seasonal time series, a novel window strategy with Fourier analysis however, gives a chance to adapt the classical methods on the series. We explore the KS-test for an adaptation of the periodic time series and show that this strategy handles a complicate time series as an ordinary tabular dataset. We verify that the detection with the strategy takes the second place in time delay and shows the best performance in false alarm rate and detection accuracy comparing to that of arbitrary window sizes.