An Innovative Architecture of UTC GPS/INS System with Improved Performance under Severe Jamming by Xueyun Wang, Jingjuan Zhang, Wei Wang, Pengyu Gao

“…Moreover, fuzzy adaptive integration Kalman filter (IKF) is developed to improve estimation accuracy of IKF when measurement noises change. …”
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Closed Loop Finite Element Modeling of Piezoelectric Smart Structures by Guang Meng, Lin Ye, Xing-jian Dong, Ke-xiang Wei

“…Based on the structure responses determined by finite element method, a modern system identification technique known as Observer/Kalman filter Identification (OKID) technique is used to determine the system Markov parameters. …”
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Instantaneous Modal Parameter Identification of Linear Time-Varying Systems Based on Chirplet Adaptive Decomposition by Jie Zhang, Zhiyu Shi

“…In this framework, the adaptive linear chirplet transform is applied in time-frequency analysis of acceleration response for its higher energy concentration, and the response of each mode can be adaptively decomposed via an adaptive Kalman filter. Then, the damping ratio of the time-varying systems is identified based on energy analysis of component response signal. …”
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CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations by Trung Nguyen, George K. I. Mann, Andrew Vardy, Raymond G. Gosine

“…In an attempt to allow the VIO to operate for a longer duration without either using or generating a map, this paper develops iterated cubature Kalman filter for VIO application that performs multiple corrections on a single measurement to optimize the current filter state and covariance during the measurement update. …”
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Optimization of Lateral Collision Risk of Aircraft Based on the Skid-Slip Event Model by Hao Liu, Daiwu Zhu, Xiaofan Xie, Jiuhao Chen, Xiaokang Liu

“…Taking the A320 aircraft and 737-800 aircraft as experimental subjects, the corresponding collision coefficients are imported into software tools for the simulation and the Kalman filtering is combined to verify the smoothness of the front and rear boundary curvatures. …”
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Adaptive Model Reference Sliding Mode Control of Structural Nonlinear Vibration by Luyu Li, Naibang Wang, Han Qin

“…In the adaptive control design, a modified unscented Kalman filter (UKF) is developed to identify the unknown states and parameters adaptively. …”
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Comparative Analysis of Battery State of Charge Estimation Methods by Margal Ali, El Daoudi Soukaina, Khallouq Abdelmounaim, Karama Asma

“…This paper presents three methods for estimating SoC: the extended Kalman filter (EKF), the adaptive Luenberger observer (ALO), and a neural network model employing nonlinear auto-regressive with eXogenous inputs (NARX). …”
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Decentralized Cooperative Localization Approach for Autonomous Multirobot Systems by Thumeera R. Wanasinghe, George K. I. Mann, Raymond G. Gosine

“…In the proposed method, each robot maintains a local cubature Kalman filter to estimate its own pose in a predefined coordinate frame. …”
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Development and Evaluation of a Low-Jitter Hand Tracking System for Improving Typing Efficiency in a Virtual Reality Workspace by Tianshu Xu, Wen Gu, Koichi Ota, Shinobu Hasegawa

“…The two-stream long short-term memory method utilizes the back-of-the-hand image, employing a long short-term memory network and a Kalman filter to enhance hand position tracking accuracy and minimize jitter. …”
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MENON PROBLEMİ by Fatih S. M. Öztürk

“…Bu kuramcılara göre bilginin epistemik değeri, genellikle "doğruya inanmak ve yanlıştan kaçınmak" olarak ifade edilen ikiz epistemik amaçtan enstrümental veya teolojik olarak kaynaklanır. …”
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Enhanced DeepSORT and StrongSORT for Multicattle Tracking With Optimized Detection and Re-Identification by Hyeon-Seok Sim, Hyun-Chong Cho

“…These enhancements include a comparison of five different bounding box regression losses to improve detection accuracy, modifications to the Kalman filter state vector for more accurate bounding box predictions, and adjustments to the feature vector distance metric in the re-identification algorithm. …”
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Local Feature Filtering Method for Dynamic Multiframe Video Sequence Images by Dawei Zhang, Dan Huang

“…The experimental test results show that the normalized correlation coefficient, mutual information quantity, peak signal-to-noise ratio, and information entropy of the integrated filter denoising algorithm are 0.950, 0.935, 0.816, and 0.933 after convergence of the training effect, which are significantly higher than those of the commonly used median denoising algorithm and Kalman denoising algorithm. However, the computational time consumption of the proposed integrated filtering and denoising algorithm is higher than that of the comparison algorithms. …”
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Multimodal Multiobject Tracking by Fusing Deep Appearance Features and Motion Information by Liwei Zhang, Jiahong Lai, Zenghui Zhang, Zhen Deng, Bingwei He, Yucheng He

“…After that, we use Convolutional Neural Network (CNN) to learn the deep appearance features of objects and employ Kalman Filter to obtain the motion information of objects. …”
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Experiments on Optimal Vibration Control of a Flexible Beam Containing Piezoelectric Sensors and Actuators by Gustavo L.C.M. Abreu, José F. Ribeiro, Valder Steffen Jr

“…The controller consists of a linear quadratic regulator with a state estimator, namely a Kalman observer. The structure is a cantilever beam containing a set of sensor/actuator PVDF/PZT ceramic piezoelectric patches bonded to the beam surface at the optimal location obtained for the first three vibration modes. …”
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MycoNews 2021: President’s message, IMA statutes, news, reports, awards, personalia, and book news by David L. Hawksworth

“…Tributes are also paid to the passing of the distinguished mycologists Heinz Butin, Karl Esser, Grégoire Hennebert, Jack Rogers, Kálman Vánky, and Bodo Wanke. The contribution concludes with news of seven new mycological books published in 2020–2021, and another forthcoming in 2022.…”
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An Extended Car-Following Model in Connected and Autonomous Vehicle Environment: Perspective from the Cooperation between Drivers by Shenzhen Ding, Xumei Chen, Zexin Fu, Fei Peng

“…To address this gap, this paper designs and organizes a car-following experiment in mixed traffic in Beijing, extracts the trajectory data of CAVs and HDVs based on video recognition, and reconstructs the extracted trajectory data using the Lagrangian theory and Kalman filter theory to ensure the accuracy of the data. …”
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Interaction model estimation-based robotic force-position coordinated optimization for rigid–soft heterogeneous contact tasks by Haochen Zheng, Xueqian Zhai, Hongmin Wu, Jia Pan, Zhihao Xu, Xuefeng Zhou

“…Within the MPIC, robot dynamics are linearized, and Extended Kalman Filters are used for the online estimation of geometry-aware parameters. …”
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Improvement of Carrier Phase Tracking Based on a Joint Vector Architecture by Shaohua Chen, Yang Gao

“…The joint vector architecture contains a common loop based on extended Kalman filter to track the common dynamics of the different channels and the individual loops for each channel to track the satellite specific dynamics. …”
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“İNSAN HÜRRIYETI” VE AHLAK İLIŞKISINE BIR BAKIŞ by Hüseyin Öztürk

“…Kendi nefsine, yakın çevresine, içinde yaşadığı toplumave hepsinden önemlisi inanan insan için Allah’a karşı sorumludur.…”
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Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…To accurately model the dynamics of the series-connected cells a single particle model is used and to estimate the SoC, the unscented Kalman filter is employed. FDIA detection, identification, and classification was accomplished using a tuned cumulative sum (CUSUM) algorithm, which was compared with a baseline method, the chi-squared error detector. …”
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