Article
Automation & Control Systems
Hyoung-woong Lee, Soohee Han
Summary: This paper proposes a continuous finite-time convergence FIR fixed-lag smoother using multiple computationally efficient IIR filters. The optimal design is described to improve an existing scheme based on two IIR filters. By utilizing multiple IIR filters, the proposed smoother minimizes estimation error variance while ensuring finite-time convergence. The performance of the smoother approaches that of a heavy computational fixed-lag minimum variance FIR smoother as the number of adopted IIR filters increases.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Biomedical
Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, Hassan Rivaz
Summary: This paper presents a fast and computationally efficient implementation of a linear Kalman filter to improve the measurement accuracy of an optical tracking system with high temporal resolution. By tracking individual fiducials mounted on the surgical tool using a Newtonian model, the proposed KF framework significantly stabilizes tracking behavior and reduces mean-squared error by a factor of 26.84. Furthermore, it shows similar performance to the Unscented Kalman Filter (UKF) but with lower computational complexity.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Computer Science, Artificial Intelligence
Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan
Summary: The paper proposes a new MOT paradigm tailored for crowded scenes, simultaneously finding global optimal detections and trajectories of multiple targets over the whole video, yielding promising results on public benchmarks in various domains.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Optics
Andres Barrio-Zhang, Arezoo M. Ardekani
Summary: This paper presents a novel technique for retrieving particle properties using digital holography microscopy. The technique involves reconstructing synthetic holograms and fitting a Gaussian function to estimate size and sub-pixel position. The method shows good accuracy and reliability in estimating particle refractive index and can be combined with function-fitting approaches to improve accuracy. The technique can have broad applications in nanoparticle characterization.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Engineering, Civil
Jhonghyun An, Euntai Kim
Summary: This paper introduces a novel method for solving the vehicle bounding box tracking problem, utilizing a low-end 3D laser scanner for measurements. It proposes new motion and measurement models, and its effectiveness is demonstrated through experimentation.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Kaarjel K. Narayanasamy, Johanna Rahm, Siddharth Tourani, Mike Heilemann
Summary: DNA-PAINT image acquisition speed is slow. The authors utilized the neural network DeepSTORM to predict fluorophore positions from high emitter density DNA-PAINT data in order to achieve image acquisition in one minute; they demonstrated multi-color and large-area imaging of semi-thin neuronal tissue.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Meiyan Lin, Yonghui Huang, Baozhu Li, Zhen Huang, Zihan Zhang, Wenjie Zhao
Summary: This paper proposes a novel deep learning-based approach called MSLocNet for the localization of multiple co-channel sources using received signal strength (RSS) observations. MSLocNet formulates the localization problem as a Bernoulli heatmap regression problem and solves it using a fully convolutional network (FCN). The proposed method enables simultaneous localization of variable numbers of sources and exhibits improved localization performance. Simulations and experiments validate the effectiveness and feasibility of the proposed method.
Article
Computer Science, Information Systems
Jatin Upadhyay, Abhishek Rawat, Dipankar Deb
Summary: The collaborative computer vision-based approach for target tracking proposed in this paper does not consider object properties, and chooses a drone with strong GPS signal or near the target as the master drone, achieving precise tracking accuracy.
Article
Multidisciplinary Sciences
Haidong You, Jindong Li, Jun Xu, Jian Xu, Tigang Ning, Yuanyuan Gao, Lin Li
Summary: This paper presents a magnetic target localization method based on total field and spatial gradients measurements. An iterative approach is introduced to enhance localization accuracy. Simulation results demonstrate high tolerance to noise and good localization precision.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Analytical
Leonardo Mostarda, Alfredo Navarra, Francesco Nobili
Summary: This paper investigates multi-interface communication in the Internet-of-Things (IoT) to optimize file transfer in terms of time and energy consumption. Experimental results show that combining certain interfaces can achieve fast file transfer with minimal energy consumption.
Article
Multidisciplinary Sciences
Yongtao Liu, Zhiguang Zhou, Fan Wang, Guenter Kewes, Shihui Wen, Sven Burger, Majid Ebrahimi Wakiani, Peng Xi, Jiong Yang, Xusan Yang, Oliver Benson, Dayong Jin
Summary: This study demonstrates that single upconversion nanoparticles can generate position-sensitive patterns in the spatial domain when placed on a mirror. This effect is attributed to the interference of each emitter with its mirror image, allowing for axial localization of the particle.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Yunhao Liu, Jiliang Wang, Yunting Zhang, Linsong Cheng, Weiyi Wang, Zhao Wang, Weimin Xu, Zhenjiang Li
Summary: This paper introduces an efficient and accurate acoustic tracking method Vernier based on mobile devices, which significantly reduces tracking delay and overhead compared to previous methods, and demonstrates higher accuracy in experiments.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Environmental Sciences
Robin Andre Rorstadbotnen, Jo Eidsvik, Lea Bouffaut, Martin Landro, John Potter, Kittinat Taweesintananon, Stale Johansen, Frode Storevik, Joacim Jacobsen, Olaf Schjelderup, Susann Wienecke, Tor Arne Johansen, Bent Ole Ruud, Andreas Wuestefeld, Volker Oye
Summary: Climate change is affecting the Arctic at a faster rate than anywhere else, leading to rapid changes in ecosystems. This will cause shifts in whale migration and habitat use that will coincide with changes in human activities. To effectively manage and conserve these species, better monitoring of whale presence and movement is needed in real-time, and this study proposes the use of Distributed Acoustic Sensing (DAS) as a solution.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Chemistry, Analytical
Ricardo Monge Neria, Lydia Kisley
Summary: We used HILO microscopy to determine the three-dimensional location of single-molecule analytes within commercial stationary phase materials. By immobilizing individual stationary phase particles and modifying the microscope, we achieved improved imaging depth and resolution. The data showed that the heterogeneity in separations is caused by nanoscale kinetic differences on distinct adsorption sites rather than microscale affinity differences.
ANALYTICAL CHEMISTRY
(2023)
Article
Engineering, Electrical & Electronic
Baobao Li, Jianfeng Li, Beizuo Zhu, Xiaofei Zhang
Summary: This paper proposes an algorithm for tracking multiple unknown emitters based on distributed sensor arrays. The algorithm introduces the novel thought of Direct Position Determination (DPD) and improves tracking performance through Non-homogeneous Data Fusion and Fast Position Update (NDFFPU). Numerical simulations demonstrate the superiority of the algorithm.
IEEE SENSORS JOURNAL
(2022)
