• 산업경영시스템학회지
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• 제43권2호
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• pp.48-55
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• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• 한국멀티미디어학회논문지
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• 제24권1호
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• pp.30-39
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• 2021

Research in the field of health lighting has continued to advance to reproduce the color temperature of natural light which periodically changes. However, most of this research could only reproduce a uniform circadian color temperature of natural light, therefore failing to realize the characteristics of the circadian cycle of color temperature difference by latitude and longitude. To reproduce the color temperature of natural light on which the characteristics of a region are reflected, the collection technology of real-time characteristics of natural light is needed. If the color temperatures which are not within a periodical pattern due to climate changes, etc., are measured, it will be difficult to judge the occurrence (presence) of the anomalies and to reproduce the circadian cycle of the color temperature of natural light. Therefore, this study proposes an algorithm for judging the anomalies in real time based on the sliding window to reproduce the color temperature of natural light. First, the natural light characteristics DB collected through the on-site measurement were analyzed, the differential values at a one-minute interval were calculated and examined, and then representative color temperature circadian patterns by solar terms were drawn. The anomalies were then detected by the application of the sliding window that calculated the deviation of the color temperature for the measured color temperature data set, which was collected through RGB sensors, while moving along the time sequence. In addition, the presence of anomalies was verified through the comparison study between the detection results and the representative circadian cycle of the color temperature by solar term. The judgment method for the anomalies from the measured color temperature of natural light was proposed for the first time, confirming that the proposed method was capable of detecting the anomalies with an average accuracy of 94.6%.

• KIEAE Journal
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• 제17권3호
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• pp.15-21
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• 2017

Purpose: "Building energy design standard" is used to limit the thermal transmittance of building in Korea. However, it only covers the insulation standard for each appropriate elements of a building, not the thermal performance of Junction thermal bridge of windows and doors installed in wall. Therefore in this study, we have evaluated the thermal performance of Junction thermal bridge depending on installation method and position of windows and provide it as design data. Method: We analyzed heat transfer of 4-Track sliding window and tilt & turn triple glazed window that are placed in the first class category on window energy efficiency rating using Window 7.4 and Therm 7.4. Result : First, linear thermal transmittance of 4-Track sliding window differs by 2.2 times or more depending of installation method and location. It is higher than the linear thermal transmittance, 0.01W/mK, proposed by Passivhaus. Second, linear thermal transmittance of Tilt & turn triple glazed window differs by 7.7 times or more depending of installation method and location. The average linear thermal transmittance was less than 0.01W /mK when windows were installed on the internal wall insulation by the fixed hardware attachment method. Third, the thermal losses of a window caused by a junction thermal bridge are inversely proportional to the window area and converge gradually as the area increased.

• 한국전자거래학회지
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• 제23권3호
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• pp.225-237
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• 2018

대용량 데이터의 발생과 처리가 대중화되면서 대용량 데이터 스트림 처리에 대한 수요가 급격하게 증가하고 있다. 이 수요에 따라 다양한 대용량 데이터 처리 기술이 개발되고 있다. 한 분야로 주목받고 있는 방식은 슬라이딩 윈도우를 사용한 데이터 스트림 클러스터링이다. 슬라이딩 윈도우를 사용한 데이터 스트림 클러스터링은 윈도우가 이동할 때마다 새로운 클러스터를 생성한다. 기존의 슬라이딩 윈도우 상의 클러스터링 기법은 코어셋(Coreset)을 기반으로 데이터 스트림 클러스터링을 구현하고 있다. 이 연구에서는 코어셋을 활용한 그룹특징을 이용한 알고리즘 내에서 이용하는 클러스터링 알고리즘을 변경하였다. 그리고 이를 통해 제안 알고리즘과 기존 알고리즘의 파라미터 값 변화에 따른 성능 비교 실험을 진행하였다. 개선된 사항에 대해 논하여 두 알고리즘을 비교하고 실험자에게 파라미터에 따른 이용 방향을 제시한다.

• 한국군사과학기술학회지
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• 제3권1호
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• pp.116-126
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• 2000

Turbo codes are the most exciting and potentially important development in coding theory in recent years. They were introduced in 1993 by Berrou, Glavieux and $Thitimajshima,({(1)}$ and claimed to achieve near Shannon-limit error correction performance with relatively simple component codes and large interleavers. A required Eb/N0 of 0.7㏈ was reported for BER of $10^{-5}$ and code rate of $l/2.^{(1)}$ However, to implement the turbo code system, there are various important details that are necessary to reproduce these results such as AGC gain control, optimal wordlength determination, and metric rescaling. Further, the memory required to implement MAP-based turbo decoder is relatively considerable. In this paper, we confirmed the accuracy of these claims by computer simulation considering these points, and presented a optimal wordlength for Turbo code design. First, based on the analysis and simulation of the turbo decoder, we determined an optimal wordlength of Turbo decoder. Second, we suggested the MAP decoding algorithm based on sliding-window method which reduces the system memory significantly. By computer simulation, we could demonstrate that the suggested fixed-point Turbo decoder operates well with negligible performance loss.

• 대한전자공학회논문지TC
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• 제48권7호
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• pp.9-16
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• 2011

본 논문에서는 높은 처리율을 가지는 다양한 터보 복호 방식을 소개하고 각각의 장점을 기반으로 한 새로운 고속 터보 복호 기법을 제안한다. 제안된 기법은 기본적으로 슬라이딩 윈도우, 복류 복호, 셔플 복호 방식을 사용하며 모의실험 결과, 제안된 기법은 기존의 방법에 비해서 적은 클록 사이클로도 동일한 BER 성능을 얻을 수 있음을 확인하였다. 게다가 슬라이딩 윈도우 크기를 적절하게 조정하면 메모리 사용량도 줄일 수 있음을 확인하였다. 따라서 본 논문에서 제안한 터보 복호 기법을 사용함으로써 저 전력, 저 면적의 고속 터보 복호기의 설계가 가능하다.

• 한국정보전자통신기술학회논문지
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• 제4권2호
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• pp.103-110
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• 2011

u-Health 시스템의 센서들로부터 측정된 데이터에 대한 정확하고 에너지 효율적인 관리가 필요하다. 센서네트워크에서 대용량의 입력 스트림 데이터 전체를 데이터베이스에 모두 저장하여 한꺼번에 처리하는 것은 효율적이지 못하다. 본 논문에서는 u-Health 시스템 내 센서 네트워크의 에너지 효율성과 정확성을 고려하여 여러 센서에서 지속적으로 들어오는 다차원 스트림 데이터의 처리 성능을 높이고자 한다. 효율적인 입력 스트림 처리를 위해서 슬라이딩 윈도우 기반으로 질의를 처리하고 Mjoin 방법으로 다중 질의 계획을 수립한 후 역전파 알고리즘을 통해 저장 데이터를 축소하는 효율적인 처리 기법을 제안한다. 14,324개의 데이터 집합을 사용하여 실험한 결과 실제 입력되는 데이터보다 저장 공간의 18.3%를 축소함으로써 효과적임을 보였다.

• Journal of Communications and Networks
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• 제9권3호
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• pp.330-341
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• 2007

This work analyzes the performance of the parallel packet switch (PPS) with a sliding window (SW) method. The PPS involves numerous packet switches that operate independently and in parallel. The conventional PPS dispatch algorithm adopts a round robin (RR) method. The class of PPS is characterized by deployment of parallel low-speed switches whose all memory buffers run more slowly than the external line rate. In this work, a novel SW packet switching method for PPS, called SW-PPS, is proposed. The SW-PPS employs memory space more effectively than the existing PPS using RR algorithm. Under identical Bernoulli and bursty data traffic, the SW-PPS provided significantly improved performance when compared to PPS with RR method. Moreover, this investigation presents a novel mathematical analytical model to evaluate the performance of the PPS using RR and SW method. Under various operating conditions, our proposed model and analysis successfully exhibit these performance characteristics including throughput, cell delay, and cell drop rate.

• Journal of Power Electronics
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• 제10권4호
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• pp.412-418
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• 2010

This paper proposes a new algorithm to generate a reference signal for an active power filter using a sliding-window FFT operation to improve the steady-state performance of the active power filter. In the proposed algorithm the sliding-window FFT operation is applied to the load current to generate the reference value for the compensating current. The magnitude and phase-angle for each order of harmonics are respectively averaged for 14 periods. Furthermore, the phase-angle delay for each order of harmonics passing through the controller is corrected in advance to improve the compensation performance. The steady-state and transient performance of the proposed algorithm was verified through computer simulations and experimental work with a hardware prototype. A single-phase active power filter with the proposed algorithm can offer a reduction in THD from 75% to 4% when it is applied to a non-linear load composed of a diode bridge and a RC circuit. The active power filter with the proposed reference generation method shows accurate harmonic compensation performance compared with previously developed methods, in which the THD of source current is higher than 5%.

• Journal of Computing Science and Engineering
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• 제7권4호
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• pp.220-230
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• 2013

In recent years, progress in hardware technology has resulted in the possibility of monitoring many events in real time. The volume of incoming data may be so large, that monitoring all individual data might be intractable. Revisiting any particular record can also be impossible in this environment. Therefore, many database schemes, such as aggregation, join, frequent pattern mining, and indexing, become more challenging in this context. This paper surveys the previous efforts to resolve these issues in processing data streams. The emphasis is on specifying and processing sliding window queries, which are supported in many stream processing engines. We also review the related work on stream query processing, including synopsis structures, plan sharing, operator scheduling, load shedding, and disorder control.