• Title/Summary/Keyword: measurement fusion

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Multibiometrics fusion using $Acz{\acute{e}}l$-Alsina triangular norm

  • Wang, Ning;Lu, Li;Gao, Ge;Wang, Fanglin;Li, Shi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.7
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    • pp.2420-2433
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    • 2014
  • Fusing the scores of multibiometrics is a very promising approach to improve the overall system's accuracy and the verification performance. In recent years, there are several approaches towards studying score level fusion of several biometric systems. However, most of them does not consider the genuine and imposter score distributions and result in a higher equal error rate usually. In this paper, a novel score level fusion approach of different biometric systems (dual iris, thermal and visible face traits) based on $Acz{\acute{e}}l$-Alsina triangular norm is proposed. It achieves higher identification performance as well as acquires a closer genuine distance and larger imposter distance. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand database with noisy samples and the NVIE face database with visible and thermal face images. The rigorous results suggest that significant performance improvement can be achieved after the implementation of multibiometrics. The comparative experiments also ascertain that the proposed fusion approach outperforms the state-of-art verification performance.

Hydraulic Behaviors of KSTAR PF Coils in Operation

  • Park, S.H.;Chu, Y.;Kim, Y.O.;Yonekawa, H.;Chang, Y.B.;Woo, I.S.;Lee, H.J.;Park, K.R.
    • Progress in Superconductivity and Cryogenics
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    • v.14 no.2
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    • pp.24-27
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    • 2012
  • The superconducting coil system is one of the most important components in Korea Superconducting Tokamak Advanced Research (KSTAR), which has been operated since 2008. $Nb_3Sn$ and NbTi superconductors are being used for cable-in-conduit conductors (CICCs) of the KSTAR toroidal field (TF) and poloidal field (PF) coils. The CICCs are cooled by forced-flow supercritical helium about 4.5 K. The temperature, pressure and mass flow rate of the supercritical helium in the CICCs are interacting with each other during the operation of the coils. The complicate behaviors of the supercritical helium have an effect on the operation and the efficiency of the helium refrigeration system (HRS) by means of, for instance, pressure drop. The hydraulic characteristics of the supercritical helium have been monitored while the TF coils have stably achieved the full current of 35 kA. In other hands, the PF coils have been operated with various pulsed or bipolar mode, so the drastic changes happen in view of hydraulics. The heat load including AC loss on the coils has been analyzed according to the measurement. These activities are important to estimate the temperature margin in various PF operation conditions. In this paper, the latest hydraulic behaviors of PF coils during KSTAR operation are presented.

The Posture Estimation of Mobile Robots Using Sensor Data Fusion Algorithm (센서 데이터 융합을 이용한 이동 로보트의 자세 추정)

  • 이상룡;배준영
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.11
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    • pp.2021-2032
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    • 1992
  • A redundant sensor system, which consists of two incremental encoders and a gyro sensor, has been proposed for the estimation of the posture of mobile robots. A hardware system was built for estimating the heading angle change of the mobile robot from outputs of the gyro sensor. The proposed hardware system of the gyro sensor produced an accurate estimate for the heading angle change of the robot. A sensor data fusion algorithm has been developed to find the optimal estimates of the heading angle change based on the stochastic measurement equations of our readundant sensor system. The maximum likelihood estimation method is applied to combine the noisy measurement data from both encoders and gyro sensor. The proposed fusion algorithm demonstrated a satisfactory performance, showing significantly reduced estimation error compared to the conventional method, in various navigation experiments.

Performance enhancement of launch vehicle tracking using GPS-based multiple radar bias estimation and sensor fusion (GPS 기반 추적레이더 실시간 바이어스 추정 및 비동기 정보융합을 통한 발사체 추적 성능 개선)

  • Song, Ha-Ryong
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.6
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    • pp.47-56
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    • 2015
  • In the multi-sensor system, sensor registration errors such as a sensor bias must be corrected so that the individual sensor data are expressed in a common reference frame. If registration process is not properly executed, large tracking errors or formation of multiple track on the same target can be occured. Especially for launch vehicle tracking system, each multiple observation lies on the same reference frame and then fused trajectory can be the best track for slaving data. Hence, this paper describes an on-line bias estimation/correction and asynchronous sensor fusion for launch vehicle tracking. The bias estimation architecture is designed based on pseudo bias measurement which derived from error observation between GPS and radar measurements. Then, asynchronous sensor fusion is adapted to enhance tracking performance.

A Survey of Objective Measurement of Fatigue Caused by Visual Stimuli (시각자극에 의한 피로도의 객관적 측정을 위한 연구 조사)

  • Kim, Young-Joo;Lee, Eui-Chul;Whang, Min-Cheol;Park, Kang-Ryoung
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.1
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    • pp.195-202
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    • 2011
  • Objective: The aim of this study is to investigate and review the previous researches about objective measuring fatigue caused by visual stimuli. Also, we analyze possibility of alternative visual fatigue measurement methods using facial expression recognition and gesture recognition. Background: In most previous researches, visual fatigue is commonly measured by survey or interview based subjective method. However, the subjective evaluation methods can be affected by individual feeling's variation or other kinds of stimuli. To solve these problems, signal and image processing based visual fatigue measurement methods have been widely researched. Method: To analyze the signal and image processing based methods, we categorized previous works into three groups such as bio-signal, brainwave, and eye image based methods. Also, the possibility of adopting facial expression or gesture recognition to measure visual fatigue is analyzed. Results: Bio-signal and brainwave based methods have problems because they can be degraded by not only visual stimuli but also the other kinds of external stimuli caused by other sense organs. In eye image based methods, using only single feature such as blink frequency or pupil size also has problem because the single feature can be easily degraded by other kinds of emotions. Conclusion: Multi-modal measurement method is required by fusing several features which are extracted from the bio-signal and image. Also, alternative method using facial expression or gesture recognition can be considered. Application: The objective visual fatigue measurement method can be applied into the fields of quantitative and comparative measurement of visual fatigue of next generation display devices in terms of human factor.

Study on Multiple Ground Target Tracking Algorithm Using Geographic Information (지형 정보를 사용한 다중 지상 표적 추적 알고리즘의 연구)

  • Kim, In-Taek;Lee, Eung-Gi
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.173-180
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    • 2000
  • During the last decade many researches have been working on multiple target tracking problem in the area of radar application, Various approaches have been proposed to solve the tracking problem and the concept of sensor fusion was established as an effort. In this paper utilization of geographic information for ground target tracking is investigated and performance comparison with the results of applying sensor fusion is described. Geographic information is used in three aspects: association masking target measurement and re-striction of removing true target. Simulation results indicate that using two sensors shows better performance with respect to tracking but a single with geographic information is a winner in reducing the number of false tracks.

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Estimation of Train Position Using Sensor Fusion Technique (센서융합에 의한 열차위치 추정방법)

  • Yoon Hee-Sang;Park Tae-Hyoung;Yoon Yong-Gi;Hwang Jong-Gyu;Lee Jae-Ho
    • Journal of the Korean Society for Railway
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    • v.8 no.2
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    • pp.155-160
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    • 2005
  • We propose a tram position estimation method for automatic train control system. The accurate train position should be continuously feedback to control system for safe and efficient operation of trains in railway. In this paper, we propose the sensor fusion method integrating a tachometer, a transponder, and a doppler sensor far estimation of train position. The external sensors(transponder, doppler sensor) are used to compensate for the error of internal sensor (tachometer). The Kalman filter is also applied to reduce the measurement error of the sensors. Simulation results are then presented to verify the usefulness of the proposed method.

Machine Learning-Based Filter Parameter Estimation for Inertial/Altitude Sensor Fusion (관성/고도 센서 융합을 위한 기계학습 기반 필터 파라미터 추정)

  • Hyeon-su Hwang;Hyo-jung Kim;Hak-tae Lee;Jong-han Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.884-887
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    • 2023
  • Recently, research has been actively conducted to overcome the limitations of high-priced single sensors and reduce costs through the convergence of low-cost multi-variable sensors. This paper estimates state variables through asynchronous Kalman filters constructed using CVXPY and uses Cvxpylayers to compare and learn state variables estimated from CVXPY with true value data to estimate filter parameters of low-cost sensors fusion.

Can Breast Asymmetry Following the Treatment of Juvenile Idiopathic Scoliosis with Growing Rod Be Prevented? : A Preliminary Analysis

  • Atici, Yunus;Polat, Baris;Erdogan, Sinan;Gurpinar, Tahsin;Demiroz, Serdar
    • Journal of Korean Neurosurgical Society
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    • v.63 no.2
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    • pp.228-236
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    • 2020
  • Objective : It can be assumed that the progression of scoliosis in the juvenile period will increase the asymmetry in the rib cage, and thus will contribute to an increase in the breast asymmetry (BA) in the future. We are looking for answers to the questions; "How will the breasts look with respect to each other and what is the possibility of developing BA in the early follow-up period following the early surgical treatment and final fusion surgery of juvenile idiopathic scoliosis (JIS)?" For this reason, in this study, we aimed to evaluate the breast asymmetries of patients in the period after the final fusion. Methods : Following growing rod treatment, final fusion was achieved in 12 females with JIS. We used the anthropomorphic measurement of the modified BREAST-V formula to assess whether there was an asymmetry between the breasts after an average of 4.8 years (2-11) following final fusion. Results : In comparison, the mean volume of the left breast (222.4 mL [range, 104.1-330.2]) was larger than the mean volume of the right breast volume (214.5 mL [range, 95.2-326.7]) (p=0.034). The left breast was larger in 75% of the patients. BA was observed in 50% of the patients. No correlation was detected between the Cobb angle of the patient after final fusion and BA (p=0.688). Conclusion : In the late follow-up period, BA was detected in 50% of the patients with JIS who achieved final fusion after treatment with growing rod. In majority of the patients, left breast was larger. The patients with JIS and their families can be informed prior to the operation about the probability of BA seen in the follow-up period after fusion.