• 제목/요약/키워드: Built in sensor

검색결과 507건 처리시간 0.029초

배열 압전 능동 센서를 이용한 복합재 보강판의 충격 손상 탐지 (Impact Damage Detection in a Composite Stiffened Panel Using Built-in Piezoelectric Active Sensor Arrays)

  • 박찬익;조창민
    • Composites Research
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    • 제20권6호
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    • pp.21-27
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    • 2007
  • 복합재 보강판에 영구히 부착된 배열 압전 능동 센서를 사용하여 저속 충격 손상을 탐지하였다. 압전 능동센서를 사용하여 구조에 램파를 전파시키기 위한 다양한 진단신호를 생성하였으며, 손상으로 인한 구조 진동의 특성 변화를 탐지하기 위하여 그 응답을 측정하였다. 이 신호 변화 특징을 한 개의 손상 지수로 표현하기 위하여 3가지 알고리즘-ADI(Active Damage Interrogation), TD RMS (Time Domain Root Mean Square), STFT(Short Time Fourier Transform) -이 검토되었다. 손상 탐지시험을 수행하여, 사용한 기법과 진단신호로 저속 충격으로 인한 두 개의 층간분리를 탐지하였으며, 그 위치를 추정하였다.

$\textrm{I}_{DDQ}$ 테스팅을 위한 빠른 재장형 전류감지기 (Fast built-in current sensor for $\textrm{I}_{DDQ}$ testing)

  • 임창용;김동욱
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.811-814
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    • 1998
  • REcent research about current testing($\textrm{I}_{DDQ}$ testing) has been emphasizing that $\textrm{I}_{DDQ}$ testing in addition to the logical voltage testing is necessary to increase the fault coverage. The $\textrm{I}_{DDQ}$. testing can detect physical faults other than the classical stuck-at type fault, which affect reliability. One of the most critical issues in the $\textrm{I}_{DDQ}$ testing is to insert a built-in current sensor (BICS) that can detect abnormal static currents from the power supply or to the ground. This paper presents a new BICS for internal current testing for large CMOS logic circuits. The proposed BICS uses a single phase clock to minimize the hardware overhead. It detects faulty current flowing and converts it into a corresponding logic voltage level to make converts it into a corresponding logic voltage level to make it possible to use the conventional voltage testing techniqeus. By using current mirroring technique, the proposed BICS can work at very high speed. Because the proposed BICS almost does not affects normal operation of CUT(circuit under test), it can be used to a very large circuit without circuit partitioning. By altenating the operational modes, a circuit can be $\textrm{I}_{DDQ}$-tested as a kind of self-testing fashion by using the proposed BICS.

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고속 전류 테스팅 구현을 위한 내장형 CMOS 전류 감지기 회로의 설계에 관한 연구 (A Study on the Design of Built-in Current Sensor for High-Speed Iddq Testing)

  • 김후성;박상원;홍승우;성만영
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2004년도 하계학술대회 논문집 Vol.5 No.2
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    • pp.1254-1257
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    • 2004
  • This paper presents a built-in current sensor(BICS) that can detect defects in CMOS integrated circuits through current testing technique - Iddq test. Current test has recently been known to a complementary testing method because traditional voltage test cannot cover all kinds of bridging defects. So BICS is widely used for current testing. but there are some critical issues - a performance degradation, low speed test, area overhead, etc. The proposed BICS has a two operating mode- normal mode and test mode. Those methods minimize the performance degradation in normal mode. We also used a current-mode differential amplifier that has a input as a current, so we can realize higher speed current testing. Furthermore, only using 10 MOSFETS and 3 inverters, area overhead can be reduced by 6.9%. The circuit is verified by HSPICE simulation with 0.25 urn CMOS process parameter.

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A METHOD OF DEVELOPING SOFT SENSOR MODEL USING FUZZY NEURAL NETWORK

  • Chang, Yuqing;Wang, Fuli;Lin, Tian
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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    • pp.103-109
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    • 2001
  • Soft sensor is an effective method to deal with the estimation of variables, which are difficult to measure because of the reasons of economy or technology. Fuzzy logic system can be used to develop the soft sensor model by infinite rules, but the fuzzy dividing of variable sets is a key problem to achieve an accurate fuzzy logic model, In this paper, we proposed a new method to develop soft sensor model based on fuzzy neural network. First, using a novel method to divide the variable fuzzy sets by the process input and output data. Second, developing the fuzzy logic model based on that fuzzy set dividing. After that, expressing the fuzzy system with a fuzzy neural network and getting the initial soft sensor model based FNN. Last, adjusting the relative parameters of soft sensor model by the BP learning method. The effectiveness of the method proposed and the preferable generalization ability of soft sensor model built are demonstrated by the simulation.

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Detecting user status from smartphone sensor data

  • Nguyen, Thu-Trang;Nguyen, Thi-Hau;Nguyen, Ha-Nam;Nguyen, Duc-Nhan;Choi, GyooSeok
    • International Journal of Advanced Culture Technology
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    • 제4권1호
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    • pp.28-30
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    • 2016
  • Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.

Intelligent Data Reduction Algorithm for Sensor Network based Fault Diagnostic System

  • Youk, Yui-Su;Kim, Sung-Ho;Joo, Young-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권4호
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    • pp.301-308
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    • 2009
  • In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

초정밀 사출렌즈 금형 기술 (Mold Technology for Precision Injection Lens)

  • 하태호;조형한;송준엽;전종
    • 한국정밀공학회지
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    • 제31권7호
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    • pp.561-567
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    • 2014
  • Precision injection mold is an essential element in order to manufacture small and precision plastic lenses used for phone camera. There are many critical factors to meet the requested specifications of high quality plastic lenses. One of the main issues to realize high quality is minimizing decenter value, which becomes more critical as pixel numbers increases. This study suggests the method to minimize decenter value by modifying ejecting structure of the mold. Decenter value of injection-molded lens decreased to 1 ${\mu}m$ level from 5 ${\mu}m$ by applying suggested ejecting method. Also, we also developed BIS (Built-in Sensor) based smart mold system, which has pressure and temperature sensors inside of the mold. Pressure and temperature profiles from cavities are obtained and can be used for deduction of optimal injection molding condition, filling imbalance evaluation, status monitoring of injection molding and prediction of lens quality.

스마트폰을 활용한 블루투스 기반의 자전거 안전장비 설계 및 구현 (A Design and Implementation of a Bluetooth-Based Safety Equipment for Bicycle Using Smartphone)

  • 박원호;이기영
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 춘계학술대회
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    • pp.919-922
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    • 2013
  • 현대 사회는 건강을 중요시하게 여기는 추세로 변해가고 있다. 그 결과 개인의 자전거 보급률이 높아짐과 동시에 자전거 사고율 또한 매년 높아지고 있다. 이러한 자전거 사고율을 줄이기 위해, 보편화 되가는 스마트폰을 활용하여 스마트폰을 이용한 자전거 안전장비를 개발하였다. 작동원리는 블루투스 칩을 탑재한 자전거 안전장비와 스마트폰 간 블루투스 방식을 이용하여 통신이 가능하도록 만든 후, 스마트폰의 자이로센서 값을 블루투스 통신에 실어서 자전거의 운행정보를 전송하도록 개발하였다. 자이로센서 값을 계속해서 측정해가면서 방향을 알려주는 알고리즘을 만들었다. 좌 우측 방향지시등, 브레이크 등을 효과적으로 전송하여 자전거의 사고율을 줄일 수 있다.

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