Alternating Projections Filtering Algorithm to Track Moving Objects by Youssef Qranfal

“…This is an ill-posed inverse problem. Methods, such as Kalman filter (KF), have been devised to extract the time-varying quantities of interest. …”
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Freeway Traffic Speed Estimation of Mixed Traffic Using Data from Connected and Autonomous Vehicles with a Low Penetration Rate by Shanglu He, Xiaoyu Guo, Fan Ding, Yong Qi, Tao Chen

“…This paper investigated the possibility of applying the limited data from these lowly penetrated CAVs to estimate the average freeway link speeds based on the Kalman filtering (KF) method. First, this paper established a VISSIM-based microsimulation model to mimic the mixed traffic with different CAV penetration rates. …”
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Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory by Yaqin Zhao

“…In this paper, a novel method of candidate smoke region segmentation based on rough set theory is presented. First, Kalman filtering is used to update video background in order to exclude the interference of static smoke-color objects, such as blue sky. …”
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Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques by Soojun Kim, Huiseong Noh, Narae Kang, Keonhaeng Lee, Yonsoo Kim, Sanghun Lim, Dong Ryul Lee, Hung Soo Kim

“…For this, Logistic series which is chaotic series and radar rainfall series are used for the evaluation of low-pass filter (LF) and Kalman filter (KF). The noise is added to Logistic series by considering noise level and the noise added series is filtered by LF and KF for the noise reduction. …”
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Vibration Suppression for Improving the Estimation of Kinematic Parameters on Industrial Robots by David Alejandro Elvira-Ortiz, Rene de Jesus Romero-Troncoso, Arturo Yosimar Jaen-Cuellar, Luis Morales-Velazquez, Roque Alfredo Osornio-Rios

“…This paper proposes a methodology for improving the estimation of kinematic parameters on industrial robots through a proper suppression of the vibration components present on signals acquired from two primary sensors: accelerometer and gyroscope. A Kalman filter is responsible for the filtering of spurious vibration. …”
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In Situ Measurement of Seeking Speed and Seeking Induced Head-Disk Interface Instability in Hard Disk Drives by Yu Wang, Xiongfei Wei, Yanyang Zi, Kwok-Leung Tsui

“…To make the whole process of that clear, an in situ measurement method based on maximum likelihood estimation and extended Kalman filter for seeking speed at component level was developed first and was then calibrated by a high speed camera. …”
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Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value by Xia Zhang, Yacong Gao, Chenjing Zhou

“…And the vehicle trajectory data were reconstructed using Lagrange interpolation and Kalman filter algorithms. The approach was utilized on NGSIM trajectory data. …”
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Position Control Using Trajectory Tracking and State Estimation of a Quad-rotor by Onur Sarıpınar, Muharrem Mercimek

“…Quad-rotor aircrafts are unmanned aerial vehicles that have gained significant popularity in recent years and have been developed for use in many areas. …”
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Profile of 17ß-estradiol, vitellogenin, and egg diameter during gonad maturation process of striped catfish Pangasianodon hypophthalmus by Wahyu Pamungkas, Dedi Jusadi, Muhammad Zairin Junior, Mia Setiawati, Eddy Supriyono, Imron Imron

“…Hasil penelitian menunjukkan bahwa konsentrasi E2 tertinggi (843,65 pg/mL) pada ikan betina dengan kematangan tahap III, terendah pada ikan jantan (26,34 pg/mL), dan ikan betina tidak matang gonad (29,37 pg/mL). …”
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Impact of pharmacist-prescriber partnerships to track antibiotic prescribing in publicly funded primary care in the Cape Town metropole, South Africa: An implementation study by O Van Hecke, Y Adegoke, M Allwood, K von Pressentin, M Namane, C Butler, M Mendelson, R Coetzee

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Brain network and energy imbalance in Parkinson’s disease: linking ATP reduction and α-synuclein pathology by Hirohisa Watanabe, Sayuri Shima, Kazuya Kawabata, Yasuaki Mizutani, Akihiro Ueda, Akihiro Ueda, Mizuki Ito, Mizuki Ito

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La focalisation des conditionnelles by Gilles Corminboeuf

“…It is not irrelevant to consider that if-clauses may occupy a focus position, seeing that since Haiman (1978), it is generally admitted that “conditionals are topics”. …”
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Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

“…Simulation results demonstrate that our approach significantly outperforms the traditional unscented Kalman filter method based on matched filtering in terms of multi-target beamforming prediction in the ISAC system.…”
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À propos de deux cas de brucellose dans le sud de la France aux époques médiévale et moderne (Abbaye Saint-Sauveur, Aniane ; La Closeraie, Aix-en-Provence) by Avril Meffray, Philippe Biagini, Catherine Rigeade, Michel Panuel, Laurent Schneider, Yann Ardagna

“…This article presents the results of a study of two unpublished cases of brucellosis, one from the mediaeval Carolingian monastic complex of Saint-Sauveur d’Aniane (34), and the other from the mediaeval and modern cemetery of La Closeraie, in Aix-en-Provence (13). …”
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Sensual Environmental Robots: Entanglements of Speculative Realist Ideas with Design Theory and Practice by Santer Steven C.

“…The performative behaviours of these multi-sensorial robots evoke a sense of things by removing the truthiness of data and thereby emancipating language from privilege and expertise, subverting expectations of technology, and notions of urban Nature. Through Harman’s Quadruple Object, we speculate on asymmetricality within object relations, including between the devices and the practices of design itself. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…First, the data from the odometer and the inertial measurement unit (IMU) are fused using the extended Kalman filter (EKF) to reduce the error caused by wheel slippage on the mobile robot’s positioning and improve the mobile robot’s positioning accuracy. …”
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CMOS: Efficient Clustered Data Monitoring in Sensor Networks by Jun-Ki Min

“…In order to reduce the energy consumption of sensors, we present an approximate data gathering technique, called CMOS, based on the Kalman filter. The goal of CMOS is to efficiently obtain the sensor readings within a certain error bound. …”
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Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features by Yaqin Zhao, Zhong Zhou, Mingming Xu

“…This paper presents a novel forest fire smoke video detection based on spatiotemporal features and dynamic texture features. At first, Kalman filtering is used to segment candidate smoke regions. …”
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Rao-Blackwellized Gaussian Sum Particle Filtering for Multipath Assisted Positioning by Markus Ulmschneider, Christian Gentner, Thomas Jost, Armin Dammann

“…Making use of Rao-Blackwellization, the location of a user is tracked by a particle filter, and each landmark is represented by a sum of Gaussian probability density functions, whose parameters are estimated by unscented Kalman filters. Since data association, that is, finding correspondences among landmarks, is essential for robust long-term SLAM, we also derive a data association scheme. …”
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Repetitive Identification of Structural Systems Using a Nonlinear Model Parameter Refinement Approach by Jeng-Wen Lin, Hung-Jen Chen

“…Because the statistical regression based model refinement approach is intrinsically used to process a “batch” of data and obtain an ensemble average estimation such as the structural stiffness, the Kalman filter and one of its extended versions is introduced to the refined power series model for structural health monitoring.…”
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