• Title/Summary/Keyword: Window Sensor

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Fabrication of Silicon Window for Low-price Thermal Imaging System (저가형 열영상 시스템을 위한 실리콘 윈도우 제작)

  • Sung, Byung Mok;Jung, Dong Geon;Bang, Soon Jae;Baek, Sun Min;Kong, Seong Ho
    • Journal of Sensor Science and Technology
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    • v.24 no.4
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    • pp.264-269
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    • 2015
  • An infrared (IR) bolometer measures the change of resistance by absorbing incident IR radiation and generates a signal as a function of the radiation intensity. Since a bolometer requires temperature stabilization and light filtering except for the infrared rays, it is essential for the device to be packaged meeting conditions that above mentioned. Minimization of heat loss is needed in order to stabilize temperature of bolometer. Heat loss by conduction or convection requires a medium, so the heat loss will be minimized if the medium is a vacuum. Therefore, vacuum packaging for bolometer is necessary. Another important element in bolometer packaging is germanium (Ge) window, which transmits IR radiation to heat the bolometer. To ensure a complete transmittance of IR light, anti-reflection (AR) coatings are deposited on both sides of the window. Although the transmittance of Ge window is high for IR rays, it is difficult to use frequently in low-price IR bolometer because of its high price. In this paper, we fabricated IR window by utilizing silicon (Si) substrate instead of Ge in order to reduce the cost of bolometer packaging. To enhance the IR transmittance through Si substrate, it is textured using Reactive Ion Etching (RIE). The texturing process of Si substrate is performed along with the change of experimental conditions such as gas ratio, pressure, etching time and RF power.

Efficient Stream Sequence Matching Algorithms for Handheld Devices over Time-Series Stream Data (시계열 스트림 데이터 상에서 핸드헬드 디바이스를 위한 효율적인 스트림 시퀀스 매칭 알고리즘)

  • Moon Yang-Sae;Loh Woong-Kee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8B
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    • pp.736-744
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    • 2006
  • For the handhold devices, minimizing repetitive CPU operations such as multiplications is a major factor for their performances. In this paper, we propose efficient algorithms for finding similar sequences from streaming time-series data such as stock prices, network traffic data, and sensor network data. First, we formally define the problem of similar subsequence matching from streaming time-series data, which is called the stream sequence matching in this paper. Second, based on the window construction mechanism adopted by the previous subsequence matching algorithms, we present an efficient window-based approach that minimizes CPU operations required for stream sequence matching. Third, we propose a notion of window MBR and present two stream sequence matching algorithms based on the notion. Fourth, we formally prove correctness of the proposed algorithms. Finally, through a series of analyses and experiments, we show that our algorithms significantly outperform the naive algorithm. We believe that our window-based algorithms are excellent choices for embedded stream sequence matching in handhold devices.

Distance Functions to Detect Changes in Data Streams

  • Bud Ulziitugs;Lim, Jong-Tae
    • Journal of Information Processing Systems
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    • v.2 no.1
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    • pp.44-47
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    • 2006
  • One of the critical issues in a sensor network concerns the detection of changes in data streams. Recently presented change detection schemes primarily use a sliding window model to detect changes. In such a model, a distance function is used to compare two sliding windows. Therefore, the performance of the change detection scheme is greatly influenced by the distance function. With regard to sensor nodes, however, energy consumption constitutes a critical design concern because the change detection scheme is implemented in a sensor node, which is a small battery-powered device. In this paper, we present a comparative study of various distance functions in terms of execution time, energy consumption, and detecting accuracy through simulation of speech signal data. The simulation result demonstrates that the Euclidean distance function has the highest performance while consuming a low amount of power. We believe our work is the first attempt to undertake a comparative study of distance functions in terms of execution time, energy consumption, and accuracy detection.

Graphic User Interface Scheme for Wireless Universal Serial Bus

  • Lee, Hyun-Jeong;Kim, Jong-Won;Huh, Jae-Doo
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.183-186
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    • 2005
  • WUSB is a new technology which combines the speed and the security of wired USB with the easy use of wireless technology. In this paper, GUI for WUSB is designed and implemented to show the connectivity and contents of the WUSB devices. Also, the proposed GUI shows the log window while content transfers occur between the host and device. The proposed GUI can be used for various wireless technologies which provide wireless function with existing USB hosts and devices.

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Development of a Ubiquitous Sensor for Monitoring Insulators and Arresters (애자/피뢰기 모니터링을 위한 유비쿼터스 센서 개발)

  • Kil, G.S.;Shin, G.C.;Park, J.K.;Sim, J.W.;Song, J.Y.
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.736-741
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    • 2006
  • In this study, a ubiquitous sensor for condition monitoring of insulators and lightning arresters installed in power distribution lines and electric traction vehicles is presented. The sensor consists of two parts; a leakage current measurement and a lightning surge detection. Measured data are transmitted to a supervisory computer through ZigBee protocol based on IEEE 802.15.4. To detect leakage current, a window type Mn-ZCT is used and a low-noise amplifier with a gain of 60dB is designed, and this can measure leakage current in ranges of $100{\mu}A{\sim}5mA$. A sample-hold(S/H) and a Rogowski coil are injected to analyze the magnitude of surge current in ranges from 500A to 10kA with $8/20{\mu}s$-waveform.

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A Method of Frequent Structure Detection Based on Active Sliding Window (능동적 슬라이딩 윈도우 기반 빈발구조 탐색 기법)

  • Hwang, Jeong-Hee
    • Journal of Digital Contents Society
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    • v.13 no.1
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    • pp.21-29
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    • 2012
  • In ubiquitous computing environment, rising large scale data exchange through sensor network with sharply growing the internet, the processing of the continuous stream data is required. Therefore there are some mining researches related to the extracting of frequent structures and the efficient query processing of XML stream data. In this paper, we propose a mining method to extract frequent structures of XML stream data in recent window based on the active window sliding using trigger rule. The proposed method is a basic research to control the stream data flow for data mining and continuous query by trigger rules.

Practical Pinch Torque Detection Algorithm for Anti-Pinch Window Control System Application

  • Lee, Hye-Jin;Ra, Won-Sang;Yoon, Tae-Sung;Park, Jin-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2526-2531
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    • 2005
  • A practical pinch torque estimator based on the Kalman filter is proposed for low-cost anti-pinch window control systems. To obtain the accurate angular velocity from Hall-effect sensor measurements, the angular velocity calculation algorithm is executed with additional procedures for removing the measurement noises. Apart from the previous works using the angular velocity estimates and torque estimates for detecting the pinched condition, the torque rate is augmented to the system model and the proposed pinch estimator is derived by applying the steady-state Kalman filter recursion to the model. The motivation of this approach comes from the idea that the bias errors in torque estimates due to the motor parameter uncertainties can be almost eliminated by introducing the torque rate state. For detecting the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Simulation results are given to certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.

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Enhanced Auto-focus algorithm detecting target object with multi-window and fuzzy reasoning for the mobile phone (목적물 인식 및 자동 선택이 가능한 모바일 폰 용 자동초점 알고리즘)

  • Lee, Sang-Yong;Oh, Seung-Hoon;Kim, Soo-Won
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.3 s.357
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    • pp.12-19
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    • 2007
  • This paper proposes the enhanced auto-focus algorithm detecting several objects and selecting the target object. Proposed algorithm first detects some objects distributed in the image using focus measure operator and multi-window and then selects the target object through fuzzy reasoning with three fuzzy membership functions. Implementation can be simple because it only needs image sensor instead of infrared or ultrasonic equipment. Experimental result shows that the proposed algorithm can improve the quality of image by focusing to the target object.

Light Factor Performance of a Room with Light Guide and Blind Systems by Mockup Experiments (혼합형 채광조절장치가 실내공간의 주광조도분포에 미치는 영향에 관한 Mockup 실험평가)

  • Shin, Hwa Young;Kim, Jeong Tai
    • KIEAE Journal
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    • v.7 no.1
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    • pp.23-31
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    • 2007
  • This study aims to evaluate the illuminance performance of sloped light guide with automated venetian blind systems. For the purpose, a mock-up model was constructed as a prototype of Korean office building with $12.0m{\times}7.3m{\times}3.7m$ ($w{\times}d{\times}h$) and south facing side-window mounted between the clerestory window($2.0m^2$) and the view window($5.6m^2$). The light guide of 1.28m deepth and $29^{\circ}$ tilted angle, is covered with 0.6mm galvanized steel sheet and 97% reflective film. To protect the room from low solar angle, a blind systems, 0.15m deepth and $30^{\circ}$ automated slat angle was installed. To assess illuminance performance, the totally 37 measuring points for illuminance were monitored. For the detailed analysis, photometric sensors were installed at work-plane (8 points), wall (7 points), ceiling (3points), and exterior horizontal illuminance (1 point) respectively. The performance was measured under clear sky and is monitored by Agilent data logger, photometric sensor Li-cor and the Radiant Imaging ProMetric 1400. Comparisons of light factor and uniformity are discussed.

Causality join query processing for data stream by spatio-temporal sliding window (시공간 슬라이딩윈도우기법을 이용한 데이터스트림의 인과관계 결합질의처리방법)

  • Kwon, O-Je;Li, Ki-Joune
    • Spatial Information Research
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    • v.16 no.2
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    • pp.219-236
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    • 2008
  • Data stream collected from sensors contain a large amount of useful information including causality relationships. The causality join query for data stream is to retrieve a set of pairs (cause, effect) from streams of data. A part of causality pairs may however be lost from the query result, due to the delay from sensors to a data stream management system, and the limited size of sliding windows. In this paper, we first investigate spatial, temporal, and spatio-temporal aspects of the causality join query for data stream. Second, we propose several strategies for sliding window management based on these observations. The accuracy of the proposed strategies is studied by intensive experiments, and the result shows that we improve the accuracy of causality join query in data stream from simple FIFO strategy.

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