• Proceedings of the Korea Water Resources Association Conference
• /
• 2007.05a
• /
• pp.851-854
• /
• 2007

기존 보를 활용하여 유량측정에 이용하는 방법은 보의 통제 특성을 이용한 것이다. 유량과 수위를 병행 측정하여 얻은 자료를 활용해 수위-유량관계를 개발하는 것이다. 이 방법은 간단하면서도 정확도가 높은 방법이다. 수위-유량관계가 개발되면 별도의 측정을 수행할 필요 없이 수위계 측정값으로 유량이 계산되기 때문이다. 물론 주기적인 수위-유량관계 검증은 반드시 필요하다. 이런 수위-유량관계를 이용한 기존 보 활용은 매우 유용한 방법 중 하나이다. 하지만 이런 기존 보를 활용해 유량을 계산하는 방법은 몇 가지 단점을 포함한다. 첫째, 통제 특성을 이용하는 모든 측정 구조물은 측정한계 조건이 있다. 즉, 보 마루에 한계류가 발생하지 않는 수위 이상으로 높아지면 보의 통제 특성이 소멸되고 수위-유량관계나 유량공식은 의미가 없어진다. 둘째, 유량측정 구조물의 가장 큰 문제점 중 하나가 토사퇴적이다. 특히 기존 보의 경우 토사가 퇴적되면 보 상류의 저류용량이 줄어 보의 통제 기능을 상실하게 된다. 이런 문제점들을 해결하기 위해 보마루를 높인다거나 정기적인 준설을 하는 방법이 있다. 장기적인 변화에 대응하는 것이지만 이런 조치는 임시방편일 뿐이다. 이런 문제를 해결하기 위해 연구하게 된 방법이 보마루에서 직접 유속측정을 하는 것이다. 그리하면 통제특성을 이용한 수위-유량관계가 필요 없게 된다. 이때 보마루에서 직접 유속측정을 하기 위해서 유속측정 센서를 이용한다. 유속측정센서는 도플러방식을 이용한 초음파 유속센서로써 uplooking 방식으로 보마루에 고정시켜 이용한다. 이런 센서는 관수로에서 유량을 측정하기 위해 많이 사용되고 있다. 본 연구를 위해 초음파 센서를 이용해 실험 수로에서 유속측정과 유량환산 결과를 비교해 보았고 실제 시험하천에서도 설치하여 적용해 보았다. 보마루라는 안정된 단면을 이용하여 유속을 직접 측정하는 방법은 앞서 언급했던 수위-유량관계를 이용한 기존 보 활용법상 단점도 극복할 수 있다. 즉 통제 특성과는 관계없이 측정할 수 있는 수심 범위에만 들어가게 되면 항상 측정이 가능하고 상류의 토사퇴적에도 영향을 전혀 받지 않는다. 설치한 후 센서가 파손되지 않고 관리만 잘 된다면 유량측정시 편리하고 정확하게 결과를 얻을 것으로 판단된다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.11
• /
• pp.2751-2757
• /
• 2015

To obtain the system requirement specification in the beginning of the precision guidance and control system development, the effectiveness and reliability analysis for the system are necessary. The main purpose of this research is to obtain the system requirement specification by carrying out the effectiveness analysis using the modeling and simulation(M&S) scheme. M&S model is constructed using 6-DOF dynamic model, environment model, guidanc -navigation & control model. Assume that the navigation sensor is consist of inertial navigation sensor(INS) and doppler velocity log(DVL), and the speed and direction of current is environment parameter. The effectiveness analysis is carried out using circular error probability(CEP) and variance analyze scheme. Also, the effectiveness analysis is utilized for cost-performance analysis considering the cost of commercial INS and DVL sensor. This paper shows the high-level INS and the low-level DVL configure a high price-performance integrated navigation system.

• Journal of the Institute of Convergence Signal Processing
• /
• v.19 no.1
• /
• pp.28-34
• /
• 2018

This paper is composed of a passenger management system using a temperature sensing module, a PIR sensor module for detecting movement inside a room, and a smart breath sensing module for determining a sleeping state. An embedded sensor module and a communication system integrated the sensing part and the algorithm driving part. As the aging society is accelerating and becoming more upgraded, the social cost of Silver Care increases, and in order to protect privacy, it is necessary to reduce costs by developing efficient smart silver care devices. The proposed non - image human body detection IOT sensor system is implemented by hardware and software and has superior performance compared with conventional image monitoring method.

• Journal of Ocean Engineering and Technology
• /
• v.17 no.6
• /
• pp.83-90
• /
• 2003

This paper presents an underwater hybrid navigation system for a semi-autonomous underwater vehicle (SAUV). The navigation system consists of an inertial measurement unit (IMU), and a Doppler velocity log (DVL), accompanied by a magnetic compass. The errors of inertial measurement units increase with time, due to the bias errors of gyros and accelerometers. A navigational system model is derived, to include the scale effect and bias errors of the DVL, of which the state equation composed of the navigation states and sensor parameters is 20. The conventional extended Kalman filter was used to propagate the error covariance, update the measurement errors, and correct the state equation when the measurements are available. Simulation was performed with the 6-d.o,f equations of motion of SAUV, using a lawn-mowing survey mode. The hybrid underwater navigation system shows good tracking performance, by updating the error covariance and correcting the system's states with the measurement errors from a DVL, a magnetic compass, and a depth sensor. The error of the estimated position still slowly drifts in the horizontal plane, about 3.5m for 500 seconds, which could be eliminated with the help of additional USBL information.

• Journal of IKEEE
• /
• v.24 no.2
• /
• pp.446-452
• /
• 2020

In this paper, we propose a energy-saving LED module using K-band microwave motion detecting sensor. To oscillate K-band microwave signal, An oscillator using a hairpin-type microstrip resonator was designed to increase stability and make fabrication easier. To radiate the microwave signal, a two-channel(TX/RX) patch antenna arrays was developed. Wilkinson power divider and ring hybrid mixer were developed and applied to obtain Doppler shift from the received signal. Shield cans were installed to protect the stability of the signals and unwanted external noise. The proposed motion detection sensor was mounted on a demonstration LED module and the energy saving performance through pre-test was verified.

• The Journal of the Acoustical Society of Korea
• /
• v.27 no.3
• /
• pp.149-153
• /
• 2008

General underwater target detection methods adopt short-time FFT for estimate target doppler. This paper proposes the efficient target detection method, instead of conventional FFT, using approximate FFT for distributed sensor network target detection, which requires lighter computations. In the proposed method, we decrease computational rate of FFT by the quantization of received signal. For validation of the proposed method, experiment result which is applied to FFT based active sonar detector and real oceanic data is presented.

• Science of Emotion and Sensibility
• /
• v.26 no.3
• /
• pp.149-160
• /
• 2023

This study develops a time-varying system-based noncontact fabric sensor that can measure cerebral blood-flow signals to explore the possibility of brain blood-signal detection and emotional evaluation. The textile sensor was implemented as a coil-type sensor by combining 30 silver threads of 40 deniers and then embroidering it with the computer machine. For the cerebral blood-flow measurement experiment, subjects were asked to attach a coil-type sensor to the carotid artery area, wear an electrocardiogram (ECG) electrode and a respiration (RSP) measurement belt. In addition, Doppler ultrasonography was performed using an ultrasonic diagnostic device to measure the speed of blood flow. The subject was asked to wear Meta Quest 2, measure the blood-flow change signal when viewing the manipulated image visual stimulus, and fill out an emotional-evaluation questionnaire. The measurement results show that the textile-sensor-measured signal also changes with a change in the blood-flow rate signal measured using the Doppler ultrasonography. These findings verify that the cerebral blood-flow signal can be measured using a coil-type textile sensor. In addition, the HRV extracted from ECG and PLL signals (textile sensor signals) are calculated and compared for emotional evaluation. The comparison results show that for the change in the ratio because of the activation of the sympathetic and parasympathetic nervous systems due to visual stimulation, the values calculated using the textile sensor and ECG signals tend to be similar. In conclusion, a the proposed time-varying system-based coil-type textile sensor can be used to study changes in the cerebral blood flow and monitor emotions.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.9
• /
• pp.2227-2232
• /
• 2013

To obtain the system requirement specification in the beginning of the precision guidance system development, the effectiveness and reliability analysis for the system are necessary. The main purpose of this research is to obtain the system requirement specification for the high speed unmanned underwater vehicles by carrying out the effectiveness analysis using the modeling and simulation scheme. The effectiveness is position error for target position. Reaching accuracy is expected to be affected by the navigation sensor parameter. Assume that the navigation sensors that is consist of inertial navigation system(INS) and doppler velocity log(DVL) is the parameter. To analyze the effectiveness of each parameter, Monte-Carlo numerical simulation is performed in this research. The effectiveness analysis is carried out using circular error probability(CEP) and variance analyze scheme. Considering the cost function, the specification of the navigation sensor is provided. The cost function is consist of the INS and DVL specification and the price of those sensors.

• Journal of Ocean Engineering and Technology
• /
• v.24 no.3
• /
• pp.46-51
• /
• 2010

This paper describes the implementation of a precise underwater navigation solution using a multi-sensor fusion technique based on USBL, DVL, and IMU measurements. To implement this precise underwater navigation solution, three strategies are chosen. The first involves heading alignment angle identification to enhance the performance of a standalone dead-reckoning algorithm. In the second, the absolute position is found quickly to prevent the accumulation of integration error. The third one is the introduction of an effective outlier rejection algorithm. The performance of the developed algorithm was verified with experimental data acquired by the deep-sea ROV, Hemire, in the East-sea during a survey of a methane gas seepage area at a 1,500 m depth.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.47 no.6
• /
• pp.33-42
• /
• 2010

This research propose a practical guidance system considering ocean currents in real sea operation. Optimality of generated path is not an issue in this paper. Way-points from start point to possible goal positions are selected by experienced human supervisors considering major ocean current axis. This paper also describes the implementation of a precise underwater navigation solution using multi-sensor fusion technique based on USBL, GPS, DVL and AHRS measurements in detail. To implement the precise, accurate and frequent underwater navigation solution, three strategies are chosen. The first one is the heading alignment angle identification to enhance the performance of standalone dead-reckoning algorithm. The second one is that absolute position is fused timely to prevent accumulation of integration error, where the absolute position can be selected between USBL and GPS considering sensor status. The third one is introduction of effective outlier rejection algorithm. The performance of the developed algorithm is verified with experimental data of mine disposal vehicle and deep-sea ROV.