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Journal articles on the topic 'Filtre de Rauch'

Author: Grafiati

Published: 4 May 2024

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1

Xu, Yuan, and Xiyuan Chen. "Online cubature Kalman filter Rauch–Tung–Striebel smoothing for indoor inertial navigation system/ultrawideband integrated pedestrian navigation." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 4 (2017): 390–98. http://dx.doi.org/10.1177/0959651817711627.

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Accurate position information of the pedestrians is required in many applications such as healthcare, entertainment industries, and military field. In this work, an online Cubature Kalman filter Rauch–Tung–Striebel smoothing algorithm for people’s location in indoor environment is proposed using inertial navigation system techniques with ultrawideband technology. In this algorithm, Cubature Kalman filter is employed to improve the filtering output accuracy; then, the Rauch–Tung–Striebel smoothing is used between the ultrawideband measurements updates; finally, the average value of the correcte

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2

Yang, Lan. "Fourier-Hermite Rauch-Tung-Striebel Smoothing Optimized Particle Filter." Journal of Information and Computational Science 12, no. 10 (2015): 4031–46. http://dx.doi.org/10.12733/jics20106133.

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3

Goll, Stanislaw, and Elena Zakharova. "An active beacon-based leader vehicle tracking system." ACTA IMEKO 8, no. 4 (2019): 33. http://dx.doi.org/10.21014/acta_imeko.v8i4.685.

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This article focuses on mobile robot convoying along a path travelled by a certain leader carrying the active ultrasonic beacon. The robot is equipped with the three-dimensional receiver array in order to receive both the ultrasonic wave and the RF wave marking the beginning of the measurement cycle. To increase measurement reliability, each receiver contains two independent measurement channels with automatic gain control. The distance measurements are pre-processed in order to identify the artefacts and then either remove them or replace them with the interpolated value. To estimate the posi

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Nguyen, Tran, and Du Kim. "GLMB Tracker with Partial Smoothing." Sensors 19, no. 20 (2019): 4419. http://dx.doi.org/10.3390/s19204419.

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In this paper, we introduce a tracking algorithm based on labeled Random Finite Sets (RFS) and Rauch–Tung–Striebel (RTS) smoother via a Generalized Labeled Multi-Bernoulli (GLMB) multi-scan estimator to track multiple objects in a wide range of tracking scenarios. In the forward filtering stage, we use the GLMB filter to generate a set of labels and the association history between labels and the measurements. In the trajectory-estimating stage, we apply a track management strategy to eliminate tracks with short lifespan compared to a threshold value. Subsequently, we apply the information of t

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Ali, Wasiq, Yaan Li, Zhe Chen, Muhammad Asif Zahoor Raja, Nauman Ahmed, and Xiao Chen. "Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking." Entropy 21, no. 11 (2019): 1088. http://dx.doi.org/10.3390/e21111088.

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In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively. Generally, passive target tracking problems in the ocean environment are represented with the state-space model having linear system dynamics merged with nonlinear passive measurements, and the system is analyzed with nonlinear filtering algorithms. In the present scheme, an application of spherical radial cubature Bayesian filtering and smoothing is efficiently investigated for accurate stat

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Razali, Saifudin, Keigo Watanabe, Shoichi Maeyama, and Kiyotaka Izumi. "An Unscented Rauch-Tung-Striebel Smoother for a Vehicle Localization Problem." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 7 (2011): 860–68. http://dx.doi.org/10.20965/jaciii.2011.p0860.

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The Unscented Kalman Filter (UKF) has become relatively a new technique used in a number of nonlinear estimation problems to overcome the limitation of Taylor series linearization. It uses a deterministic sampling approach known as sigma points to propagate nonlinear systems and has been discussed in many literature. However, a nonlinear smoothing problem has received less attention than the filtering problem. Therefore, in this article an unscented smoother based on Rauch-Tung-Striebel formis examined for discretetime dynamic systems. It has advantages available in unscented transformation ov

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7

Gao, Zhouzheng, Lin Chen, Yu Min, Jie Lv, and You Li. "Evaluation on Nonholonomic Constraints and Rauch–Tung–Striebel Filter-Enhanced UWB/INS Integration." Mathematical Problems in Engineering 2020 (October 13, 2020): 1–14. http://dx.doi.org/10.1155/2020/7274181.

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Precise and seamless positioning is becoming a basic requirement for the Internet of Things (IoT). However, there is a gap for precise positioning in Global Navigation Satellite System- (GNSS-) denied indoor areas. Thus, a multisensor integration system based on ultrawide-band (UWB), inertial navigation system (INS), nonholonomic constraints (NHCs), and Rauch–Tung–Striebel (RTS) smoother is proposed. In this system, the UWB performs as the major precise positioning system, while the INS bridges the UWB-degraded and UWB-denied periods. Meanwhile, the NHC restrains the drifts of INS, while the R

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8

Koller, Tom L., and Udo Frese. "The Interacting Multiple Model Filter and Smoother on Boxplus-Manifolds." Sensors 21, no. 12 (2021): 4164. http://dx.doi.org/10.3390/s21124164.

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Hybrid systems are subject to multiple dynamic models, or so-called modes. To estimate the state, the sequence of modes has to be estimated, which results in an exponential growth of possible sequences. The most prominent solution to handle this is the interacting multiple model filter, which can be extended to smoothing. In this paper, we derive a novel generalization of the interacting multiple filter and smoother to manifold state spaces, e.g., quaternions, based on the boxplus-method. As part thereof, we propose a linear approximation to the mixing of Gaussians and a Rauch–Tung–Striebel sm

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Kwon, Bokyu. "Adaptive Fading-Memory Receding-Horizon Filters and Smoother for Linear Discrete Time-Varying Systems." Applied Sciences 12, no. 13 (2022): 6692. http://dx.doi.org/10.3390/app12136692.

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In this paper, an adaptive fading-memory receding-horizon (AFMRH) filter is proposed by combining the receding-horizon structure and the adaptive fading-memory method. In the recent finite horizon, state error covariance is adapted with an adaptive fading factor; then the process noise covariance matrix adaption is realized by adjusting the properties of systems. An AFMRH fixed-lag smoother is also proposed by combining the proposed AFMRH filtering algorithm and a Rauch–Tung–Striebel smoothing algorithm to improve the estimation accuracy. Because the proposed AFMRH filter and smoother are redu

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10

Tchegho, A., H. Gräb, U. Schlichtmann, H. Mattes, and S. Sattler. "Analyse und Untersuchung der Quantisierungseffekte beim Goertzel-Filter." Advances in Radio Science 7 (May 18, 2009): 73–81. http://dx.doi.org/10.5194/ars-7-73-2009.

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Abstract. Digitale Filter können in praktischen Anwendungen nur mit endlicher Wortbreite realisiert werden. Deshalb müssen Quantisierungseffekte verstanden werden, um die Eigenschaften und die Performanz der digitalen Filter geeignet einstellen zu können. Die am stärksten beeinflussten Aspekte sind neben Frequenzgang, die Stabilität und das Signal-Rausch-Verhältnis. Zu geringe Wortbreiten führen zu drastischen Veränderungen der Filtereigenschaften. Eine zu konservativ gewählte Wortbreite hingegen, erhöht die Größe und somit die Anzahl der Operationen des Filters unnötigerweise. Ziel dieses Bei

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11

Vanhooren, H., D. De Pauw, and P. A. Vanrolleghem. "Induction of denitrification in a pilot-scale trickling filter by adding nitrate at high loading rate." Water Science and Technology 47, no. 11 (2003): 61–68. http://dx.doi.org/10.2166/wst.2003.0587.

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Oxygen transferred from the liquid phase into a biofilm can be used for aerobic degradation of organic matter and for nitrification. A second possible pathway for the removal of organic matter is denitrification in anoxic zones deeper in the biofilm. At high organic loading rates with insufficient oxygen supply to the biofilm, denitrification could be induced by providing the biofilm with external nitrate. This possibility was tested in a pilot-scale trickling filter by adding a pulse of nitrate to a highly loaded trickling filter. The experiment showed that denitrification can indeed be induc

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Liu, Hongqiang, Haiyan Yang, Tao Zhang, and Bo Pan. "Gauss process state-space model optimization algorithm with expectation maximization." International Journal of Distributed Sensor Networks 15, no. 7 (2019): 155014771986221. http://dx.doi.org/10.1177/1550147719862217.

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A Gauss process state-space model trained in a laboratory cannot accurately simulate a nonlinear system in a non-laboratory environment. To solve this problem, a novel Gauss process state-space model optimization algorithm is proposed by combining the expectation–maximization algorithm with the Gauss process Rauch–Tung–Striebel smoother algorithm, that is, the EM-GP-RTSS algorithm. First, a theoretical formulation of the Gauss process state-space model is proposed, which is not found in previous references. Second, a Gauss process state-space model optimization framework with the expectation–m

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Vanhooren, H., D. Demey, I. Vannijvel, and P. A. Vanrolleghem. "Monitoring and modelling an industrial trickling filter using on-line off-gas analysis and respirometry." Water Science and Technology 41, no. 12 (2000): 139–48. http://dx.doi.org/10.2166/wst.2000.0258.

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The process characteristics of an industrial scale trickling filter plant were quantified by means of a five day intensive measurement campaign with the use of on-line respirometry and on-line off-gas analysis. Respirometry was used to measure the readily biodegradable CODst and the off-gas sensor was used to monitor the O2 and CO2 content of the off-gases. To model the biodegradation in the filters, the model developed by Rauch et al. (1999) was used. It is based on the decoupling of two basic processes in biofilm systems, substrate diffusion and biodegradation. This model was extended with e

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Zheng, Jiangtao, Sihai Li, Shiming Liu, Bofan Guan, Dong Wei, and Qiangwen Fu. "Research on the Shearer Positioning Method Based on the MEMS Inertial Sensors/Odometer Integrated Navigation System and RTS Smoother." Micromachines 12, no. 12 (2021): 1527. http://dx.doi.org/10.3390/mi12121527.

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The shearer positioning method with an inertial measurement unit and the odometer is feasible in the longwall coal-mining process. However, the positioning accuracy will continue to decrease, especially for the micro-electromechanical inertial measurement unit (MIMU). In order to further improve the positioning accuracy of the shearer without adding other external sensors, the positioning method of the Rauch-Tung-Striebel (RTS) smoother-aided MIMU and odometer is proposed. A Kalman filter (KF) with the velocity and position measurements, which are provided by the odometer and closing path opti

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15

Ullah, Ihsan, Muhammad Qureshi, Uzair Khan, Sufyan Memon, Yifang Shi, and Dongliang Peng. "Multisensor-Based Target-Tracking Algorithm with Out-of-Sequence-Measurements in Cluttered Environments." Sensors 18, no. 11 (2018): 4043. http://dx.doi.org/10.3390/s18114043.

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A localization and tracking algorithm for an early-warning tracking system based on the information fusion of Infrared (IR) sensor and Laser Detection and Ranging (LADAR) is proposed. The proposed Kalman filter scheme incorporates Out-of-Sequence Measurements (OOSMs) to address long-range, high-speed incoming targets to be tracked by networked Remote Observation Sites (ROS) in cluttered environments. The Rauch–Tung–Striebel (RTS) fixed lag smoothing algorithm is employed in the proposed technique to further improve tracking accuracy, which, in turn, is used for target profiling and efficient f

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16

Gong, Xiaolin, and Tingting Qin. "Airborne Earth Observation Positioning and Orientation by SINS/GPS Integration Using CD R-T-S Smoothing." Journal of Navigation 67, no. 2 (2013): 211–25. http://dx.doi.org/10.1017/s0373463313000623.

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This paper addresses the issue of state estimation in the integration of a Strapdown Inertial Navigation System (SINS) and Global Positioning System (GPS), which is used for airborne earth observation positioning and orientation. For a nonlinear system, especially with large initial attitude errors, the performance of linear estimation approaches will degrade. In this paper a nonlinear error model based on angle errors is built, and a nonlinear estimation algorithm called the Central Difference Rauch-Tung-Striebel (R-T-S) Smoother (CDRTSS) is utilized in SINS/GPS integration post-processing. I

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Bartlett, Susan J., Skye P. Barbic, Vivian P. Bykerk, et al. "Content and Construct Validity, Reliability, and Responsiveness of the Rheumatoid Arthritis Flare Questionnaire: OMERACT 2016 Workshop Report." Journal of Rheumatology 44, no. 10 (2017): 1536–43. http://dx.doi.org/10.3899/jrheum.161145.

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Objective.The Outcome Measures in Rheumatology (OMERACT) Rheumatoid Arthritis (RA) Flare Group was established to develop a reliable way to identify and measure RA flares in randomized controlled trials (RCT). Here, we summarized the development and field testing of the RA Flare Questionnaire (RA-FQ), and the voting results at OMERACT 2016.Methods.Classic and modern psychometric methods were used to assess reliability, validity, sensitivity, factor structure, scoring, and thresholds. Interviews with patients and clinicians also assessed content validity, utility, and meaningfulness of RA-FQ sc

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Zhao, Hongyu, Zhelong Wang, Qin Gao, Mohammad Mehedi Hassan, and Abdulhameed Alelaiwi. "Smooth estimation of human foot motion for zero-velocity-update-aided inertial pedestrian navigation system." Sensor Review 35, no. 4 (2015): 389–400. http://dx.doi.org/10.1108/sr-03-2015-0032.

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Purpose – The purpose of this paper is to develop an online smoothing zero-velocity-update (ZUPT) method that helps achieve smooth estimation of human foot motion for the ZUPT-aided inertial pedestrian navigation system. Design/methodology/approach – The smoothing ZUPT is based on a Rauch–Tung–Striebel (RTS) smoother, using a six-state Kalman filter (KF) as the forward filter. The KF acts as an indirect filter, which allows the sensor measurement error and position error to be excluded from the error state vector, so as to reduce the modeling error and computational cost. A threshold-based str

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Jiang, Yinfeng, Wenxiang Song, Hao Zhu, Yun Zhu, Yongzhi Du, and Huichun Yin. "Extended Rauch–Tung–Striebel Smoother for the State of Charge Estimation of Lithium-Ion Batteries Based on an Enhanced Circuit Model." Energies 15, no. 3 (2022): 963. http://dx.doi.org/10.3390/en15030963.

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The state of charge (SOC) of a lithium battery system is critical since it indicates the remaining operating hours, full charge time, and peak power of the battery. This paper recommends an extended Rauch–Tung–Striebel smoother (ERTSS) for estimating SOC. It is implemented based on an improved equivalent circuit model with hysteresis voltage. The smoothing step of ERTSS will reduce the estimation error further. Additionally, the genetic algorithm (GA) is employed for searching the optimal ERTSS’s smoothing time interval. Various dynamic cell tests are conducted to verify the model’s accuracy a

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20

Gong, Xiaolin, Xiaorui Zheng, Xing-Gang Yan, and Zhaoxing Lu. "Unscented Particle Smoother and Its Application to Transfer Alignment of Airborne Distributed POS." International Journal of Aerospace Engineering 2018 (September 30, 2018): 1–13. http://dx.doi.org/10.1155/2018/3898734.

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This paper deals with the problem of state estimation for the transfer alignment of airborne distributed position and orientation system (distributed POS). For a nonlinear system, especially with large initial attitude errors, the performance of linear estimation methods will degrade. In this paper, a nonlinear smoothing algorithm called the unscented particle smoother (UPS) is proposed and utilized in the off-line transfer alignment of airborne distributed POS. In this algorithm, the measurements are first processed by the forward unscented particle filter (UPF) and then a backward smoother i

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Zhang, Qiuzhao, Wei Yang, Shubi Zhang, and Xin Liu. "Characteristics of BeiDou Navigation Satellite System Multipath and Its Mitigation Method Based on Kalman Filter and Rauch-Tung-Striebel Smoother." Sensors 18, no. 2 (2018): 198. http://dx.doi.org/10.3390/s18010198.

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22

Li, Xiaohua, Bo Lu, Wasiq Ali, Jun Su, and Haiyan Jin. "Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors." International Journal of Aerospace Engineering 2021 (October 11, 2021): 1–11. http://dx.doi.org/10.1155/2021/4163766.

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The major advantage of the passive multiple-target tracking is that the sonars do not emit signals and thus they can remain covert, which will reduce the risk of being attacked. However, the nonlinearity of the passive Doppler and bearing measurements, the range unobservability problem, and the measurement to target data association uncertainty make the passive multiple-target tracking problem challenging. To deal with the target to measurement data association uncertainty problem from multiple sensors, this paper proposed a batch recursive extended Rauch-Tung-Striebel smoother- (RTSS-) based

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Yin, Yuming, Jinhong Zhang, Mengqi Guo, Xiaobin Ning, Yuan Wang, and Jianshan Lu. "Sensor Fusion of GNSS and IMU Data for Robust Localization via Smoothed Error State Kalman Filter." Sensors 23, no. 7 (2023): 3676. http://dx.doi.org/10.3390/s23073676.

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High−precision and robust localization is critical for intelligent vehicle and transportation systems, while the sensor signal loss or variance could dramatically affect the localization performance. The vehicle localization problem in an environment with Global Navigation Satellite System (GNSS) signal errors is investigated in this study. The error state Kalman filtering (ESKF) and Rauch–Tung–Striebel (RTS) smoother are integrated using the data from Inertial Measurement Unit (IMU) and GNSS sensors. A segmented RTS smoothing algorithm is proposed in order to estimate the error state, which i

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Ruscio, Francesco, Giovanni Peralta, Lorenzo Pollini, and Riccardo Costanzi. "Information Communication Technology (ICT) Tools for Preservation of Underwater Environment: A Vision-Based Posidonia Oceanica Monitoring." Marine Technology Society Journal 55, no. 4 (2021): 11–23. http://dx.doi.org/10.4031/mtsj.55.4.5.

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Abstract Underwater monitoring activities are crucial for the preservation of marine ecosystems. Currently, scuba divers are involved in data collection campaigns that are repetitive, dangerous, and expensive. This article describes the application of Information Communication Technology (ICT) tools to underwater visual data for monitoring purposes. The data refer to a Posidonia Oceanica survey mission carried out by a scuba diver using a Smart Dive Scooter equipped with visual acquisition and acoustic localization systems. An acoustic-based strategy for geo-referencing of the optical dataset

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Kwon, Bokyu, and Pyung Soo Kim. "Novel Unbiased Optimal Receding-Horizon Fixed-Lag Smoothers for Linear Discrete Time-Varying Systems." Applied Sciences 12, no. 15 (2022): 7832. http://dx.doi.org/10.3390/app12157832.

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This paper proposes novel unbiased minimum-variance receding-horizon fixed-lag (UMVRHF) smoothers in batch and recursive forms for linear discrete time-varying state space models in order to improve the computational efficiency and the estimation performance of receding-horizon fixed-lag (RHF) smoothers. First, an UMVRHF smoother in batch form is proposed by combining independent receding-horizon local estimators for two separated sub-horizons. The local estimates and their error covariance matrices are obtained based on an optimal receding horizon filter and the smoother in terms of the unbia

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Duong, Thanh Trung, Kai-Wei Chiang, and Dinh Thuan Le. "On-line Smoothing and Error Modelling for Integration of GNSS and Visual Odometry." Sensors 19, no. 23 (2019): 5259. http://dx.doi.org/10.3390/s19235259.

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Global navigation satellite systems (GNSSs) are commonly used for navigation and mapping applications. However, in GNSS-hostile environments, where the GNSS signal is noisy or blocked, the navigation information provided by a GNSS is inaccurate or unavailable. To overcome these issues, this study proposed a real-time visual odometry (VO)/GNSS integrated navigation system. An on-line smoothing method based on the extended Kalman filter (EKF) and the Rauch-Tung-Striebel (RTS) smoother was proposed. VO error modelling was also proposed to estimate the VO error and compensate the incoming measurem

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Dietrich, Michael. "Technische Grundlagen der Neurographie/Evozierten Potentiale – Teil IV Mittelungen/Averager." Klinische Neurophysiologie 54, no. 01 (2023): 54–56. http://dx.doi.org/10.1055/a-1991-8459.

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In Teil I und II dieser Serie habe ich die Eigenschaften des Verstärkers, der Ableitelektroden und Filter vorgestellt und daraus hergeleitet wie man sich diese für optimale Messergebnisse zu nutzen machen kann und was man vermeiden sollte 1 2. All diese Maßnahmen dienen dazu das gewünschte Signal möglichst ohne Störungen und Rauschen darzustellen und so möglichst genau messen und für eine zuverlässige Diagnostik nutzen zu können. Die Qualität einer Messkurve kann mit dem Signal-Rausch-Verhältnis (engl. signal to noise ratio, SRV) quantifiziert werden. Ist das zu erwartende Signal sehr klein (i

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Shi, Bo, Mengke Wang, Yunpeng Wang, Yuntian Bai, Kang Lin, and Fanlin Yang. "Effect Analysis of GNSS/INS Processing Strategy for Sufficient Utilization of Urban Environment Observations." Sensors 21, no. 2 (2021): 620. http://dx.doi.org/10.3390/s21020620.

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The occlusion of buildings in urban environments leads to the intermittent reception of satellite signals, which limits the utilization of observations. This subsequently results in a decline of the positioning and attitude accuracy of Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) integrated system (GNSS/INS). This study implements a smooth post-processing strategy based on a tightly coupled differential GNSS/INS. Specifically, this strategy used the INS-estimated position to reinitialize integer ambiguity. The GNSS raw observations were input into the Kalman filte

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Han, Houzeng, Jian Wang, and Mingyi Du. "A Fast SINS Initial Alignment Method Based on RTS Forward and Backward Resolution." Journal of Sensors 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7161858.

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For the strapdown inertial navigation system (SINS), the procedure of initial alignment is a necessity before the navigation can commence. On the quasi-stationary base, the self-alignment can be fulfilled with the high quality inertial sensors, and the fine alignment is usually executed to improve the alignment performance. Generally, fast estimating of heading misalignment is still a challenge due to the existence of gyro errors. An innovative data processing strategy called forward and backward resolution is proposed for INS initial alignment. The Rauch-Tung-Striebel (RTS) smoothing is appli

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Han, Yulong, Haili Sun, Yue Lu, Ruofei Zhong, Changqi Ji, and Si Xie. "3D Point Cloud Generation Based on Multi-Sensor Fusion." Applied Sciences 12, no. 19 (2022): 9433. http://dx.doi.org/10.3390/app12199433.

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Traditional precise engineering surveys adopt manual static, discrete observation, which cannot meet the dynamic, continuous, high-precision and holographic fine measurements required for large-scale infrastructure construction, operation and maintenance, where mobile laser scanning technology is becoming popular. However, in environments without GNSS signals, it is difficult to use mobile laser scanning technology to obtain 3D data. We fused a scanner with an inertial navigation system, odometer and inclinometer to establish and track mobile laser measurement systems. The control point constr

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Hansen, A. B., J. Brandt, J. H. Christensen, and E. Kaas. "Semi-Lagrangian methods in air pollution models." Geoscientific Model Development 4, no. 2 (2011): 511–41. http://dx.doi.org/10.5194/gmd-4-511-2011.

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Abstract. Various semi-Lagrangian methods are tested with respect to advection in air pollution modeling. The aim is to find a method fulfilling as many of the desirable properties by Rasch andWilliamson (1990) and Machenhauer et al. (2008) as possible. The focus in this study is on accuracy and local mass conservation. The methods tested are, first, classical semi-Lagrangian cubic interpolation, see e.g. Durran (1999), second, semi-Lagrangian cubic cascade interpolation, by Nair et al. (2002), third, semi-Lagrangian cubic interpolation with the modified interpolation weights, Locally Mass Con

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Hansen, A. B., J. Brandt, J. H. Christensen, and E. Kaas. "Semi-Lagrangian methods in air pollution models." Geoscientific Model Development Discussions 3, no. 4 (2010): 2361–438. http://dx.doi.org/10.5194/gmdd-3-2361-2010.

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Abstract. Various semi-Lagrangian methods are tested with respect to advection in air pollution modeling. The aim is to find a method fulfilling as many of the desirable properties by Rasch and Williamson (1990) and Machenhauer et al. (2008) as possible. The focus in this study is on accuracy and local mass conservation. The methods tested are, first, classical semi-Lagrangian cubic interpolation, see e.g. Durran (1999), second, semi-Lagrangian cubic cascade interpolation, by Nair et al. (2002), third, semi-Lagrangian cubic interpolation with the modified interpolation weights, Locally Mass Co

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Langley, Paul C. "Evidentiary Standards for Patient-Centered Core Impact (PC-CIS) Value Claims." INNOVATIONS in pharmacy 13, no. 3 (2022): 15. http://dx.doi.org/10.24926/iip.v13i3.5016.

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Proposals for a patient centered core impact set (PC-CIS) are of little relevance to formulary and health system decisions, let alone patients and providers, unless the elements included in the data set meet the standards of normal science and fundamental measurement. Adhering to these standards will have the effect of focusing on the adequacy of proposed core impact measures, with a filter in place to accept only those that meet the standards not only of the physical sciences but also mainstream economics. and health economics. Fortunately, we are well aware of what the criteria for acceptanc

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Sun, Jie, Feng Hu, Wenming Jin, et al. "Model-Aided Localization and Navigation for Underwater Gliders Using Single-Beacon Travel-Time Differences." Sensors 20, no. 3 (2020): 893. http://dx.doi.org/10.3390/s20030893.

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An accurate motion model and reliable measurements are required for autonomous underwater vehicle localization and navigation in underwater environments. However, without a propeller, underwater gliders have limited maneuverability and carrying capacity, which brings difficulties for modeling and measuring. In this paper, an extended Kalman filter (EKF)-based method, combining a modified kinematic model of underwater gliders with the travel-time differences between signals received from a single beacon, is proposed for estimating the glider positions in a predict-update cycle. First, to accura

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Aboudan, Alessio, Andrea Bulgarelli, Valentina Fioretti, Andrea Giuliani, Marco Tavani, and Stefano Debei. "A Multimission Method for the Reconstruction of Gamma-ray Events on Silicon Tracker Pair Telescopes." Astrophysical Journal 928, no. 2 (2022): 141. http://dx.doi.org/10.3847/1538-4357/ac5626.

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Abstract γ-ray astronomy in the energy range from MeV to GeV can provide a unique detection window for γ-ray bursts and other transient sources, fundamental information on particle acceleration mechanisms, MeV-blazar population studies up to z ∼ 4.5, and a full overview of line emission from cosmic-ray interaction. Silicon-based pair tracking telescopes rely on γ-ray conversion into an electron–positron pair and its tracking using a stack of silicon strips. The method presented in this work is based on a Rauch–Tung–Striebel smoother. Its internal Kalman filter enables keeping multiple hypothes

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Zakharova, E. A. "Structure of the Information-Measuring Complex for Determining the Mutual Position of the Master and Slave Vehicles and Its Calibration." Intellekt. Sist. Proizv. 20, no. 1 (2022): 13–21. http://dx.doi.org/10.22213/2410-9304-2022-1-13-21.

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The information-measuring complex for determining the mutual position of master and slave vehicles is necessary for the functioning of a robotic vehicle as a part of an autonomous convoy. The complex is based on a spatial array of ultrasonic receivers receiving periodically emitted signals by an active ultrasonic beacon with a built-in receiver of the global navigation satellite positioning system. The structure of information-measuring complex is designed to provide free connection of additional modules of ultrasonic wave receivers, included in the spatial array placed on the slave vehicle, w

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Goll, S. A., and E. A. Zakharova. "Combined Estimation of the Mutual Position of the Master and Slave Vehicle by Ultrasonic Receivers and Gnss-Module Data." Intellekt. Sist. Proizv. 20, no. 1 (2022): 4–12. http://dx.doi.org/10.22213/2410-9304-2022-1-4-12.

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The problem of determining the position of master vehicle when implementing a scenario of robotic vehicle as a part of caravanning driving system is studied. The mentioned scenario is expected the slave vehicle to replicate the motion trajectory of master vehicle represented by human operated vehicle, by another robotic vehicle or by human operator. To provide reliable operation of robotic vehicle within autonomous convoy a reliable and precise assessment of master vehicle position and trajectory regardless of environment is required. Implementation of ultrasonic receivers and emitters within

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Deverell, Lil, Denny Meyer, Bee Theng Lau, et al. "Optimising technology to measure functional vision, mobility and service outcomes for people with low vision or blindness: protocol for a prospective cohort study in Australia and Malaysia." BMJ Open 7, no. 12 (2017): e018140. http://dx.doi.org/10.1136/bmjopen-2017-018140.

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IntroductionOrientation and mobility (O&M) specialists assess the functional vision and O&M skills of people with mobility problems, usually relating to low vision or blindness. There are numerous O&M assessment checklists but no measures that reduce qualitative assessment data to a single comparable score suitable for assessing any O&M client, of any age or ability, in any location. Functional measures are needed internationally to align O&M assessment practices, guide referrals, profile O&M clients, plan appropriate services and evaluate outcomes from O&M programm

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Spies, T., F. Olivier, F. Martinez-Pastor, D. M. Barry, and P. Bartels. "214USE OF FLOURESCENT PROBES TO ACCESS EPIDIDYMAL SPERMATOZOA OF THE BLUE WILDEBEEST CONNOCHAETES TAURINUS AND IMPALA ANTELOPE AEPYCEROS MELAMPUS MELAMPUS." Reproduction, Fertility and Development 16, no. 2 (2004): 228. http://dx.doi.org/10.1071/rdv16n1ab214.

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Sperm quality assessment may be a useful tool not only for evaluating the reproductive health of free-ranging populations, but also for selecting individuals for future assisted-reproduction technology programs. The aim of this study was to assess the functionality of epididymal spermatozoa collected from blue wildebeest (Connochaetes taurinus) and impala (Aepyceros melampus melampus) during the non-breeding season, using the fluorescent probes, propidium ioide (PI;; Sigma, South Africa) and JC-1 (Molecular Probes, The Netherlands). Six blue wildebeest and eight impala were harvested as part o

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Wu, Chengyue, Casey E. Stowers, Zhan Xu, et al. "Abstract 5569: Quantification of tumor-associated vasculature as an imaging biomarker for monitoring the response of triple-negative breast cancer to neoadjuvant chemotherapy." Cancer Research 83, no. 7_Supplement (2023): 5569. http://dx.doi.org/10.1158/1538-7445.am2023-5569.

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Abstract Introduction: Patients with locally advanced, triple-negative breast cancer (TNBC) typically receive neoadjuvant systemic therapy (NAST). However, the response of TNBC to NAST is varied and a prognostic marker is still lacking. Since angiogenesis plays an important role in cancer progression, the quantification of changes in the tumor vasculature during treatment has the potential to provide useful information for characterizing the treatment response. We have recently developed a method to quantify changes in tumor-associated vasculature through a novel analysis of dynamic contrast-e

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Weaver Adams, Davis, Caleb Peck, and Manoranjan Majji. "Doppler Light Detection and Ranging-Aided Inertial Navigation and Trajectory Recovery." Journal of Guidance, Control, and Dynamics, June 1, 2023, 1–19. http://dx.doi.org/10.2514/1.g007318.

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A sensor fusion approach to terrain relative navigation is proposed in this paper. Sensor data from Global Position System (GPS), Inertial Navigation System (INS), and Doppler light detection and ranging (LIDAR) provide a relative state estimate through a novel multiplicative extended Kalman filter. The measurement model of the Doppler LIDAR is derived from first principals and employed by the filter to update the estimates propagated by the GPS/INS data stream. The line-of-sight Doppler velocity measurement provides direct feedback to the velocity states and improves sensitivity to these stat

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Xia, Runlong, Yuantao Chen, and Binbin Ren. "Improved anti-occlusion object tracking algorithm using Unscented Rauch-Tung-Striebel smoother and kernel correlation filter." Journal of King Saud University - Computer and Information Sciences, February 2022. http://dx.doi.org/10.1016/j.jksuci.2022.02.004.

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Gu, Mengyang, Xubo Liu, Xinyi Fang, and Sui Tang. "Scalable Marginalization of Correlated Latent Variables with Applications to Learning Particle Interaction Kernels." New England Journal of Statistics in Data Science, 2022, 1–15. http://dx.doi.org/10.51387/22-nejsds13.

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Marginalization of latent variables or nuisance parameters is a fundamental aspect of Bayesian inference and uncertainty quantification. In this work, we focus on scalable marginalization of latent variables in modeling correlated data, such as spatio-temporal or functional observations. We first introduce Gaussian processes (GPs) for modeling correlated data and highlight the computational challenge, where the computational complexity increases cubically fast along with the number of observations. We then review the connection between the state space model and GPs with Matérn covariance for t

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Wu, Jie, Huigang Xu, and Peiyi Zhu. "SOC and SOH Joint Estimation of Lithium-Ion Battery Based on Iterative Unscented Kalman Particle Filtering Algorithm with Fused Rauch-Tung-Striebel Smoothing Structure." Journal of Electrochemical Energy Conversion and Storage, December 23, 2022, 1–9. http://dx.doi.org/10.1115/1.4056557.

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Abstract Traditional particle filtering has a large estimation error in the state of charge and Lithium-ion battery health of electric Vehicle lithium batteries. For the above problems, the lithium battery second-order RC equivalent circuit model is established, and then the model parameters are identified using the multi-innovation least square algorithm (MILS). Finally, Iterative unscented Kalman particle filtering algorithm with fused Rauch-Tung-Striebel Smoothing Structure (RTS-IUPF) applied to Li-ion battery SOC and SOH joint estimation is proposed. The algorithm is based on the identific

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Del Core, L., D. Pellin, E. C. Wit, and M. A. Grzegorczyk. "Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis." Bioinformatics, September 29, 2023. http://dx.doi.org/10.1093/bioinformatics/btad605.

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Abstract Motivation Investigating cell differentiation under a genetic disorder offers the potential for improving current gene therapy strategies. Clonal tracking provides a basis for mathematical modelling of population stem cell dynamics that sustain the blood cell formation, a process known as haematopoiesis. However, many clonal tracking protocols rely on a subset of cell types for the characterisation of the stem cell output, and the data generated are subject to measurement errors and noise. Results We propose a stochastic framework to infer dynamic models of cell differentiation from c

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