Results 31 to 40 of about 20,831,468 (255)

Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]

, 2013
The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila, Canaud, M., Faouzi, Nour-Eddin El, Sau, Jacques, Canaud, Matthieu, El Faouzi, Nour-Eddin, Mihaylova, L., Sau, J., El Faouzi, N.E., El Faouzi, Nour Eddin   +9 more
core   +1 more source

State Estimation in Multi-Agent Decision and Control Systems [PDF]

, 2005
his thesis addresses the problem of estimating the state in multi-agent decision and control systems. In particular, a novel approach to state estimation is developed that uses partial order theory in order to overcome some of the severe computational ...
Del Vecchio, Domitilla
core   +1 more source

Output Tracking based Distributed State Estimation

, 2021
This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output ...
Zhou, Jialing, Lv, Yuezu, Yuheng Li, Li, Yuheng, Peihu Duan, Duan, Peihu, Yuezu Lv, Jialing Zhou   +7 more
core   +1 more source

Three-Stage Distributed State Estimation for AC-DC Hybrid Distribution Network Under Mixed Measurement Environment

IEEE Access, 2018
The ac-dc hybrid distribution network is a credible path for the future evolution of distribution network. State estimation is a paramount foundation for the safe and stable operation of the complex distribution network.
Xiangrui Kong, Zheng Yan, Ruipeng Guo, Xiaoyuan Xu, Chen Fang   +4 more
doaj   +1 more source

Distributed State Estimation for Networked Spacecraft Thermal Experiments Over Sensor Networks With Randomly Varying Transmission Delays

IEEE Access, 2018
This paper investigates the distributed state estimation problem for spacecraft thermal experiments over sensor networks. The state estimators are designed in a distributed fashion to estimate the surplus temperature of the target node in the spacecraft.
Chang Liu, Jihui Xie, Yirong Wang, Bin Shen, Xiaoning Liu   +4 more
doaj   +1 more source

People tracking by multiple ground LiDARs based on distributed interacting multimodel method

Nihon Kikai Gakkai ronbunshu, 2022
This paper presents a cooperative people tracking using networked light detection and rangings (LiDARs) allocated in an environment. Each LiDAR detects people from the LiDAR-scan data using a background subtraction method and sends the people positions ...
Naoki MURAKAMI, Masafumi HASHIMOTO, Marino MATSUBA, Kazuhiko TAKAHASHI   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

State estimation applied to active distribution networks with minimal measurements [PDF]

, 2005
Traditionally, state estimation is applied to transmission networks to improve security and redundancy of the measurement system. This paper describes the application of state estimation to distribution networks in order to extend the observability of ...
Jenkins, Nick, White, Sara, Thornley, Vincent   +2 more
core  

Aero Engine Gas Path Performance Tracking Based on Multi-Sensor Asynchronous Integration Filtering Approach

IEEE Access, 2018
Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu, Chunyu Jiang, Jinquan Huang, Xiaojie Qiu   +3 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source