• 제목/요약/키워드: Multiple sensor signals

검색결과 107건 처리시간 0.025초

전력선 주파수를 이용한 가시광 채널의 시분할 전송 (Time Division Transmission of Visible Light Channels Using Power Line Frequency)

  • 이성호
    • 센서학회지
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    • 제23권5호
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    • pp.349-355
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    • 2014
  • In this paper, we developed a new method to transmit multiple visible light channels in time division mode using the AC power line frequency in order to prevent the crosstalk between adjacent optical signals. Synchronizing pulses are generated from the 220 V power line, and one pulse period is subdivided into several time slots for visible light channels. Each channel transmits data in a predefined time slot without interfering adjacent channels. In experiments, synchronizing pulses with a repetition rate of 240 Hz were generated from the 60 Hz power line, and three VLC channels with a bit rate of 9.6 kbps transmitted data independently using the time slots between synchronizing pulses. This configuration is very useful in constructing time division VLC networks for multiple sensors.

배전선로 원격 진단을 위한 ZigBee 무선통신 시스템 개발 (Development of ZigBee Wireless Communication System for Remote Diagnosis in Distribution Power Lines)

  • 이경섭;정동현
    • 한국전기전자재료학회논문지
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    • 제28권9호
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    • pp.602-606
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    • 2015
  • This paper presents a ZigBee wireless communication system for remote diagnosis in overhead distribution power lines. The system is divided in three parts in the functional aspect - a host computer module, a remote controller module and a diagnostic system module. The host computer module designed as USB interface transmits control signals and receive data measured by sensor. The remote controller module operates the diagnostic system. Diagnostic system module communicates with internal main controller and host computer USB. Multiple communication channel is adopted for simultaneous operations of several diagnostic system. Dedicated protocol for each module is developed. The system is designed with a focus on low cost and small size suitable for lightweight and small diagnostic system.

Dynamic Control Allocation for Shaping Spacecraft Attitude Control Command

  • Choi, Yoon-Hyuk;Bang, Hyo-Choong
    • International Journal of Aeronautical and Space Sciences
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    • 제8권1호
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    • pp.10-20
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    • 2007
  • For spacecraft attitude control, reaction wheel (RW) steering laws with more than three wheels for three-axis attitude control can be derived by using a control allocation (CA) approach.1-2 The CA technique deals with a problem of distributing a given control demand to available sets of actuators.3-4 There are many references for CA with applications to aerospace systems. For spacecraft, the control torque command for three body-fixed reference frames can be constructed by a combination of multiple wheels, usually four-wheel pyramid sets. Multi-wheel configurations can be exploited to satisfy a body-axis control torque requirement while satisfying objectives such as minimum control energy.1-2 In general, the reaction wheel steering laws determine required torque command for each wheel in the form of matrix pseudo-inverse. In general, the attitude control command is generated in the form of a feedback control. The spacecraft body angular rate measured by gyros is used to estimate angular displacement also.⁵ Combination of the body angular rate and attitude parameters such as quaternion and MRPs(Modified Rodrigues Parameters) is typically used in synthesizing the control command which should be produced by RWs.¹ The attitude sensor signals are usually corrupted by noise; gyros tend to contain errors such as drift and random noise. The attitude determination system can estimate such errors, and provide best true signals for feedback control.⁶ Even if the attitude determination system, for instance, sophisticated algorithm such as the EKF(Extended Kalman Filter) algorithm⁶, can eliminate the errors efficiently, it is quite probable that the control command still contains noise sources. The noise and/or other high frequency components in the control command would cause the wheel speed to change in an undesirable manner. The closed-loop system, governed by the feedback control law, is also directly affected by the noise due to imperfect sensor characteristics. The noise components in the sensor signal should be mitigated so that the control command is isolated from the noise effect. This can be done by adding a filter to the sensor output or preventing rapid change in the control command. Dynamic control allocation(DCA), recently studied by Härkegård, is to distribute the control command in the sense of dynamics⁴: the allocation is made over a certain time interval, not a fixed time instant. The dynamic behavior of the control command is taken into account in the course of distributing the control command. Not only the control command requirement, but also variation of the control command over a sampling interval is included in the performance criterion to be optimized. The result is a control command in the form of a finite difference equation over the given time interval.⁴ It results in a filter dynamics by taking the previous control command into account for the synthesis of current control command. Stability of the proposed dynamic control allocation (CA) approach was proved to ensure the control command is bounded at the steady-state. In this study, we extended the results presented in Ref. 4 by adding a two-step dynamic CA term in deriving the control allocation law. Also, the strict equality constraint, between the virtual and actual control inputs, is relaxed in order to construct control command with a smooth profile. The proposed DCA technique is applied to a spacecraft attitude control problem. The sensor noise and/or irregular signals, which are existent in most of spacecraft attitude sensors, can be handled effectively by the proposed approach.

System identification of soil behavior from vertical seismic arrays

  • Glaser, Steven D.;Ni, Sheng-Huoo;Ko, Chi-Chih
    • Smart Structures and Systems
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    • 제4권6호
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    • pp.727-740
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    • 2008
  • A down hole vertical seismic array is a sequence of instruments installed at various depths in the earth to record the ground motion at multiple points during an earthquake. Numerous studies demonstrate the unique utility of vertical seismic arrays for studying in situ site response and soil behavior. Examples are given of analyses made at two sites to show the value of data from vertical seismic arrays. The sites examined are the Lotung, Taiwan SMART1 array and a new site installed at Jingliao, Taiwan. Details of the installation of the Jingliao array are given. ARX models are theoretically the correct process models for vertical wave propagation in the layered earth, and are used to linearly map deeper sensor input signals to shallower sensor output signals. An example of Event 16 at the Lotung array is given. This same data, when examined in detail with a Bayesian inference model, can also be explained by nonlinear filters yielding commonly accepted soil degradation curves. Results from applying an ARMAX model to data from the Jingliao vertical seismic array are presented. Estimates of inter-transducer soil increment resonant frequency, shear modulus, and damping ratio are presented. The shear modulus varied from 50 to 150 MPa, and damping ratio between 8% and 15%. A new hardware monitoring system - TerraScope - is an affordable 4-D down-hole seismic monitoring system based on independent, microprocessor-controlled sensor Pods. The Pods are nominally 50 mm in diameter, and about 120 mm long. An internal 16-bit micro-controller oversees all aspects of instrumentation, eight programmable gain amplifiers, and local signal storage.

심층 학습 모델을 이용한 EPS 동작 신호의 인식 (EPS Gesture Signal Recognition using Deep Learning Model)

  • 이유라;김수형;김영철;나인섭
    • 스마트미디어저널
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    • 제5권3호
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    • pp.35-41
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    • 2016
  • 본 논문에서는 심층 학습 모델 방법을 이용하여 EPS(Electronic Potential Sensor) 기반의 손동작 신호를 인식하는 시스템을 제안한다. 전기장 기반 센서인 EPS로부터 추출된 신호는 다량의 잡음이 포함되어 있어 이를 제거하는 전처리과정을 거쳐야 한다. 주파수 대역 특징 필터를 이용한 잡음 제거한 후, 신호는 시간에 따른 전압(Voltage) 값만 가지는 1차원적 특징을 지닌다. 2차원 데이터를 입력으로 하여 컨볼루션 연산을 하는 알고리즘에 적합한 형태를 갖추기 위해 신호는 차원 변형을 통해 재구성된다. 재구성된 신호데이터는 여러 계층의 학습 층(layer)을 가지는 심층 학습 기반의 모델을 통해 분류되어 최종 인식된다. 기존 확률 기반 통계적 모델링 알고리즘은 훈련 후 모델을 생성하는 과정에서 초기 파라미터에 결과가 좌우되는 어려움이 있었다. 심층 학습 기반 모델은 학습 층을 쌓아 훈련을 반복하므로 이를 극복할 수 있다. 실험에서, 제안된 심층 학습 기반의 서로 다른 구조를 가지는 컨볼루션 신경망(Convolutional Neural Networks), DBN(Deep Belief Network) 알고리즘과 통계적 모델링 기반의 방법을 이용한 인식 결과의 성능을 비교하였고, 컨볼루션 신경망 알고리즘이 다른 알고리즘에 비해 EPS 동작신호 인식에서 보다 우수한 성능을 나타냄을 보였다.

2차원 멀티베이스라인 방향탐지 배열 구조 설계 (The Design of Array Geometry in 2-D Multiple Baseline Direction Finding)

  • 박철순;김대영
    • 한국통신학회논문지
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    • 제31권10A호
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    • pp.988-995
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    • 2006
  • 본 논문에서는 방위각과 고각을 동시에 탐지하는 2차원 멀티베이스라인 센서 배열 설계에서 DOA(Direction Of Arrival) 정확도를 유지하면서 센서 안테나수를 최소화하기 위해 위상차 공간에서 유클리드 최소 거리함수를 이용한 논하모닉 배열 구조 설계 메소드를 제안한다. 제안된 메소드는 기존 메소드와 달리 최소 이격 거리비가 반파장 이상인 경우에도 적용 가능할뿐더러 임의 배열구조에서도 적용이 가능한 장점을 갖는다. 다중신호 입사조건에서 초분해능 알고리즘을 적용한 모의 실험을 통해 설계 접근성의 효율성을 제시하였다. 또한 제안된 메소드를 적용하여 2차원 비대칭 배열 안테나를 설계하였고, 제작된 배열 안테나를 이용한 실험 결과를 통해 그 성능을 확인하였다.

AE 센서와 신경회로망을 이용한 NAK80 금형강의 자기연마 가공특성 모니터링 (Surface Condition Monitoring in Magnetic Abrasive Polishing of NAK80 Using AE Sensor and Neural Network)

  • 김광희;신창민;김태완;곽재섭
    • 한국생산제조학회지
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    • 제21권4호
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    • pp.601-607
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    • 2012
  • The magnetic abrasive polishing (MAP), for online monitoring with AE sensor attachment, was performed in this study. To predict the surface roughness after the magnetic abrasive polishing of NAK80, the signal data acquired from the AE sensor were analyzed. A dimensionless coefficient, which consisted of average of AErms and standard deviation of AE signal, was defined as a characteristic of the MAP and a prediction model was obtained using least square method. A neural network, which had multiple input parameters from AE signals and polishing conditions, was applied for predicting the surface roughness. As a result of this study, it was seen that there was very close correlation between the AE signal and the surface roughness in the MAP. And then on-line prediction of the surface roughness after the MAP of the NAK80 was possible by the developed prediction model.

복합재료 지능구조물의 제어를 위한 압전소자를 이용한 변형형상예측 (Shape Estimation for the Control of Composite Smart Sstructure Using Piezoceramics)

  • 하성규;조영수
    • 대한기계학회논문집A
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    • 제20권4호
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    • pp.1133-1145
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    • 1996
  • A method is proposed to predict the deformed shape of the structure subjected to the unknown external loads using the signal from the piezoceramic sensors. Such a shape estimation is based on the linear relationship between the deformation of structure and the signal from sensor, which is calculated using finite element method. The deformed shape is, then calculated using the linear matrix and the signals from the piezoceramic sensors attached to the structures. For the purpose, a structural analysis program is developed using a multi-layerd finite element of 8 nodes with 3 displacement and one voltage degrees of freedom at each node. The multiple layers with the different material properties can be layered within the element. The incompatible mode with the element is found to be crucial to catch the bending behavior accurately. The accuracy of the program is, then, verified by being compared with the experimental results performed by Crawley. The proposed shape estimation method is also verified for the different loads and sensor size. It is shown that the results of shape estimation method using the linear matrix well predicts the deflections compared with those of finite element method.

통합형 메디컬센서노드와 모바일 환자생체정보 관리 시스템 설계 (Design of Integrated medical sensor node and Mobile Vital Healthcare diagnosis System)

  • 이승철;권태하;정완영
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.302-305
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    • 2009
  • 본 논문에서는 환자나 만성질환자가 공간적으로 구속을 받지 않고 자유롭게 이동이 가능한 상태에서 건강상태 모니터링이 가능한 셀룰러폰(Cellular telephone)에 기반한 통합형 생체신호 계측 및 생체정보 관리가 가능한 생체 관리 시스템을 설계하고자 하였다. 메디컬센서 인터페이스를 센서노드에 부착할 경우 개별적인 센서노드가 필요하기 때문에 생체 디바이스의 문제점을 해결하기 위해서 통합형 메디컬 센서노드 어플리케이션을 설계하였다. 셀룰러폰으로 ECG(Electrocardiogram), 혈압(Blood pressure), 혈당(Blood sugar)과 같은 생체신호를 모니터링해서 비정상적인 생체신호를 판별하며, 당일 측정한 생체신호를 셀룰러폰에 저장해 과거에 측정한 메디컬 기록들과 함께 차트로 리뷰 가능하다. 본 논문에서는 기존의 실시간 생체 모니터링 비해, 개발된 셀룰러폰 기반의 헬스케어용 관리시스템은 고/저혈압, 당료를 갖고 있는 만성질환자가 상시적으로 질병을 관리할 수 있으며, 또한 CDMA의 특성상 넓은 환경에서도 전송이 가능하무로서 무선센서네트워크를 이용하기 위해 CDMA 방식과 통합하였다.

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다중 웨어러블 센서를 활용한 운전자 상태 인식 (Driver's Status Recognition Using Multiple Wearable Sensors)

  • 신의섭;김명국;이창욱;강행봉
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제6권6호
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    • pp.271-280
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    • 2017
  • 본 논문에서는 자동차의 안전운전을 위해서 운전자의 생체정보를 수집하여 운전자의 상태에 따라 운전자에게 적절한 경보를 하거나, 직접 자동자를 제어할 수 있는 기반 시스템을 제시하였다. 기존의 운전자 얼굴정보를 촬영하여 정보를 획득하거나, 운전자의 시트나 스티어링 휠에 센서를 장착하여 생제정보를 획득하는 방식이 부정확하거나 단속적인 정보만을 얻을 수 있는데 비하여, 본 논문에서 제시한 웨어러블 장치는 의료장비 수준의 정확도를 얻을 수 있었으며, 지속적으로 높은 정확도의 생체신호를 얻을 수 있었다. 개발된 웨어러블 장치에는 심박, 피부전도도, 피부온도를 측정할 수 있는 센서를 장착하였으며, 자동차에서 발생되는 각종 잡음을 제거할 수 있는 필터 기술을 적용하였고, 가속도센서와 자이로 센서를 장착하여 측정 오차를 제거하는 기술을 적용하였다. 수집된 생체신호를 바탕으로 운전자의 상태를 판별할 수 있는 기준을 제시하였고, 공인인증기관에 의뢰하여 의료수준 정도의 정확성이 있음을 검증하였다. 실험실 시험과 실차 시험을 통하여 개발된 장치가 운전자의 상태를 측정할 수 있는 장치로 활용될 수 있음을 검증하였다.