• Title/Summary/Keyword: Distance measurement algorithm

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Performance evaluation of 80 GHz FMCW Radar for level measurement of cryogenic fluid

  • Mun, J.M.;Lee, J.H.;Lee, S.C.;Sim, K.D.;Kim, S.H.
    • Progress in Superconductivity and Cryogenics
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    • v.23 no.4
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    • pp.56-60
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    • 2021
  • The microwave Radar used for special purposes in the past is being applied in various areas due to the technological advancement and cost reduction, and is particularly applied to autonomous driving in the automobile field. The FMCW (Frequency Modulated Continuous Wave) Radar can acquire level information of liquid in vessel based on the beat frequency obtained by continuously transmitting and receiving signals by modulating the frequency over time. However, for cryogenic fluids with small impedance differences between liquid medium and gas medium, such as liquid nitrogen and liquid hydrogen, it is difficult to apply a typical Radar-based level meter. In this study, we develop an 80 GHz FMCW Radar for level measurement of cryogenic fluids with small impedance differences between media and analyze its characteristics. Here, because of the low intrinsic impedance difference, most of the transmitted signal passes through the liquid nitrogen interface and is reflected at the bottom of the vessel. To solve this problem, a radar measurement algorithm was designed to detect multiple targets and separate the distance signal to the bottom of the vessel in order to estimate the precise position on the liquid nitrogen interface. Thereafter, performance verification experiments were performed according to the liquid nitrogen level using the developed radar level meter.

Vision-based Target Tracking for UAV and Relative Depth Estimation using Optical Flow (무인 항공기의 영상기반 목표물 추적과 광류를 이용한 상대깊이 추정)

  • Jo, Seon-Yeong;Kim, Jong-Hun;Kim, Jung-Ho;Lee, Dae-Woo;Cho, Kyeum-Rae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.3
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    • pp.267-274
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    • 2009
  • Recently, UAVs (Unmanned Aerial Vehicles) are expected much as the Unmanned Systems for various missions. These missions are often based on the Vision System. Especially, missions such as surveillance and pursuit have a process which is carried on through the transmitted vision data from the UAV. In case of small UAVs, monocular vision is often used to consider weights and expenses. Research of missions performance using the monocular vision is continued but, actually, ground and target model have difference in distance from the UAV. So, 3D distance measurement is still incorrect. In this study, Mean-Shift Algorithm, Optical Flow and Subspace Method are posed to estimate the relative depth. Mean-Shift Algorithm is used for target tracking and determining Region of Interest (ROI). Optical Flow includes image motion information using pixel intensity. After that, Subspace Method computes the translation and rotation of image and estimates the relative depth. Finally, we present the results of this study using images obtained from the UAV experiments.

A Study on Improving Accuracy of Subway Location Tracking using WiFi Fingerprinting (WiFi 핑거프린트를 이용한 지하철 위치 추적 정확성 향상을 위한 연구)

  • An, Taeki;Ahn, Chihyung;Nam, Myungwoo;Park, Jinhong;Lee, Youngseok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.1-8
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    • 2016
  • In this study, an WiFi fingerprinting method based on the k-nn algorithm was applied to improve the accuracy of location tracking of a moving train on a platform and evaluate the performance to minimize the estimation error of location tracking. The data related to the position of the moving train are monitored by the control center for trains and used widely for the safety and comfort of passengers. The train location tracking methods based on WiFi installed by telecom companies were evaluated. In this study, a simulator was developed to consider the environments of two cases; in already installed WiFi devices and new installed WiFi devices. The developed simulator can simulate the localized estimation of the position under a variety of conditions, such as the number of WiFi devices, the area of platform and entry velocity of train. To apply location tracking algorithms, a k-nn algorithm and fuzzy k-nn algorithm were applied selectively according to the underlying condition and also four distance measurement algorithms were applied to compare the error of location tracking. In conclusion, the best method to estimate train location tracking is a combination of the k-nn algorithm and Minkoski distance measurement at a 0.5m grid unit and 8 WiFi AP installed.

A Study on Development of Portable Concrete Crack Measurement Device Using Image Processing Technique and Laser Sensors (이미지 처리기법 및 레이저 센서를 이용한 휴대용 콘크리트 균열 측정 장치 개발에 관한 연구)

  • Seo, Seunghwan;Ohn, Syng-Yup;Kim, Dong-Hyun;Kwak, Kiseok;Chung, Moonkyung
    • Journal of the Korean Geosynthetics Society
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    • v.19 no.4
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    • pp.41-50
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    • 2020
  • Since cracks in concrete structures expedite corrosion of reinforced concrete over a long period of time, regular on-site inspections are essential to ensure structural usability and prevent degradation. Most of the safety inspections of facilities rely on visual inspection with naked eye, so cost and time consuming are severe, and the reliability of results differs depending on the inspector. In this study, a portable measuring device that can be used for safety diagnosis and maintenance was developed as a device that measures the width and length of concrete cracks through image analysis of cracks photographed with a camera. This device captures the cracks found within a close distance (3 m), and accurately calculates the unit pixel size by laser distance measurement, and automatically calculates the crack length and width with the image processing algorithm developed in this study. In measurement results using the crack image applied to the experiment, the measurement of the length of a 0.3 mm crack within a distance of 3 m was possible with a range of about 10% error. The crack width showed a tendency to be overestimated by detecting surrounding pixels due to vibration and blurring effect during the binarization process, but it could be effectively corrected by applying the crack width reduction function.

Compensation of the Secondary Voltage of a Three Winding Coupling Capacitor Voltage Transformer (3권선 CCVT의 2차 전압 보상 방법)

  • Kang, Yong-Cheol;Kim, Yeon-Hee;Zheng, Tai-Ying;Jang, Sung-Il;Kim, Yong-Gyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.6
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    • pp.938-943
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    • 2008
  • Coupling capacitor voltage transformers(CCVTs) have been used in extra or ultra high voltage systems to obtain the standard low voltage signal for protection and measurement. For fast suppression of the phenomenon of ferroresonance, three winding CCVTs are used instead of two winding CCVTs. A tuning reactor is connected between a capacitor voltage divider and a voltage transformer to reduce the phase angle difference between the primary and secondary voltages in the steady state. Slight distortion of the secondary voltage is generated when no fault occurs. However, when a fault occurs, the secondary voltage of the CCVT has significant errors due to the transient components such as dc offset component and/or high frequency components resulting from the fault. This paper proposes an algorithm for compensating the secondary voltage of a three winding CCVT in the time domain. With the values of the measured secondary voltage of the three winding CCVT, the secondary, tertiary and primary currents and voltages are estimated; then the voltages across the capacitor and the tuning reactor are calculated and then added to the measured voltage. Test results indicate that the algorithm can successfully compensate the distorted secondary voltage of the three winding CCVT irrespective of the fault distance, the fault impedance and the fault inception angle as well as in the steady state.

Compensation of the secondary voltage of a coupling capacitor voltage transformer in the time-domain (히스테리시스 특성을 고려한 CCVT 2차 전압 보상 방법)

  • Kang, Yong-Cheol;Zheng, Tai-Ying;Kim, Yeon-Hee;Jang, Sung-Il;Kim, Yong-Gyun
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.266-267
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    • 2006
  • A coupling capacitor voltage transformer (CCVT) is used in extra high voltage and ultra high voltage transmission systems to obtain the standard low voltage signal for protection and measurement. To obtain the high accuracy at the power system frequency, a tuning reactor is connected between a capacitor and a voltage transformer (VT). Thus, no distortion of the secondary voltage is generated when no fault occurs. However, when a fault occurs, the secondary voltage of the CCVT has some errors due to the transient components resulting from the fault. This paper proposes an algorithm for compensating the secondary voltage of the CCVT in the time domain. With the values of the secondary voltage of the CCVT, the secondary and the primary currents are obtained; then the voltage across the capacitor and the tuning reactoris calculated and then added to the measured secondary voltage. The proposed algorithm includes the effect of the non-linear characteristic of the VT and the influence of the ferro-resonance suppression circuit. Test results indicate that the algorithm can successfully compensate the distorted secondary voltage of the CCVT irrespective of the fault distance, the fault inception angle and the fault impedance.

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Design of Microstrip Antenna with U Slotted Ground Plane using Genetic Algorithm and FDTD Method (유전자 알고리즘과 FDTD 방법을 이용한 접지면 U 슬롯 구조의 마이크로스트립 안테나 설계)

  • 임현준;윤현보
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.15 no.2
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    • pp.194-198
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    • 2004
  • This paper presents a broadband compact microstrip antenna design with four U slots on the ground plane by using of genetic algorithm. FDTD method is used as fitness function for antenna analysis, and length of rectangular patch, length of ground plane slot, distance from center point to feed point is used as optimization parameter for maximum bandwidth and minimum size. The measurement result of implemented antenna present 10 dB bandwidth of 15.63 % and peak gain of 3.61 dBi in the 2.445 GHz, and antenna has a reduced patch size of 54.8 % compare with normal microstrip antenna.

Ultrasonic Sensor System using Neuro-Fuzzy Algorithm for Improvement of Pattern Recognition Rate (초음파센서 뉴로퍼지 시스템을 이용한 패턴인식률 개선)

  • Na, Cheolhun;Choi, Kwangseok;Boo, Suil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.721-724
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    • 2014
  • Ultrasonic sensor is used widely for many applications because low cost, simple structure, and low restriction. There are many difficulties to recognize an object by use an ultrasonic sensor, because of low resolution, poor direction, and measurement error. To improve the these problem, we use the various kinds of sensor arrangement methods, large amount of sensor, and change the arrangement pattern of sensor. In this paper, to obtain the most basic parameters for pattern recognition such as distance, dimension of the object, an angle of the object, we get the improved results by use the intelligent calculation algorithm based on Neuro-Fuzzy. This method use the multifarious output voltage of ultrasonic sensor by simple electronic circuit.

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Design of a hospital assignment scheme for ambulances based on minimum cost maximum flow algorithm (최소비용 최대유량 알고리즘에 기반한 구급차의 환자이송 병원 배정 기법의 설계)

  • Junghoon Lee
    • Smart Media Journal
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    • v.12 no.9
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    • pp.72-80
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    • 2023
  • This paper presents a design and analyzes the performance of a hospital assignment and reassignment scheme for emergency rescue services based on minimum cost maximum flow algorithm. It consists of flow graph building, link capacity updating, and allocation discovering steps. The efficiency of the algorithm makes it possible to reallocate hospitals even in case of dynamic changes in the number of patients or hospitals. The performance measurement result obtained from a prototype implementation shows that the proposed scheme can reduce the transport time requirement miss by up to 24%.

A neck healthy warning algorithm for identifying text neck posture prevention (거북목 자세를 예방하기 위한 목 건강 경고 알고리즘)

  • Jae-Eun Lee;Jong-Nam Kim;Hong-Seok Choi;Young-Bong Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.3
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    • pp.115-122
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    • 2022
  • With the outbreak of COVID-19 a few years ago, video conferencing and electronic document work have increased, and for this reason, the proportion of computer work among modern people's daily routines is increasing. However, as more and more people work on computers in the wrong posture for a long time, the number of patients with poor eyesight and text neck is increasing. Until recently, many studies have been published to correct posture, but most of them have limitations that users may experience discomfort because they have to correct posture by wearing equipment. A posture correction sensor algorithm is proposed to prevent access to the minimum distance between a computer monitor and a person using an ultrasonic sensor device. At this time, an algorithm for minimizing false alarms among warning alarms that sound at the minimum distance is also proposed. Because the ultrasonic sensor device is used, posture correction can be performed without attaching a device to the body, and the user can relieve discomfort. In addition, experimental results showed that accuracy can be improved by reducing false alarms by removing more than half of the noise generated during distance measurement.