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Science teachers' views on student competences in education for sustainable development

Journal of Research in Science Teaching, EarlyView.
Abstract In this study, Q methodology was used to identify 16 secondary school physics, chemistry, and biology teachers' views on competences in education for sustainable development (ESD). Our data collection instrument was grounded in the GreenComp competence framework developed by the European Commission.
Tuba Stouthart, Dury Bayram, Jan van der Veen   +2 more
wiley   +1 more source

Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non‐Hierarchical Analyses?

Journal of Research in Science Teaching, EarlyView.
ABSTRACT There have been several attempts to conceptualize and operationalize pedagogical content knowledge (PCK) in the context of teachers' professional competencies. A recent and popular model is the Refined Consensus Model (RCM), which proposes a framework of dispositional competencies (personal PCK—pPCK) that influence more action‐related ...
Jannis Zeller, Josef Riese
wiley   +1 more source

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Maneuvering Resource Allocation for Coordinated Target Tracking in Airborne Radar Network

IEEE Transactions on Signal Processing, 2023
In this article, a performance driven maneuvering resource allocation (MRA) scheme is developed for target tracking in airborne radar network (ARN).
Junkun Yan, Tao He, Lin Ma, Wenqiang Pu, Hongzhi Liu, M. Greco   +5 more
semanticscholar   +1 more source

Coalition Game of Radar Network for Multitarget Tracking via Model-Based Multiagent Reinforcement Learning

IEEE Transactions on Aerospace and Electronic Systems, 2023
Task assignment is crucial for multitarget tracking of the radar network and is mainly solved by centralized optimization methods, which results in the issues of robustness deficiency, high computational and communication costs, and inflexible ...
Kui Xiong, Tianxian Zhang, G. Cui, Shiyuan Wang, L. Kong   +4 more
semanticscholar   +1 more source

3-D Scattering Image Sparse Reconstruction via Radar Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
Inverse synthetic aperture radar (ISAR) can only provide two-dimensional (2-D) images to represent the target’s scattering projection on the corresponding imaging planes.
Le Kang, Ying Luo, Qun Zhang, Xiao-wen Liu, Bi‐shuai Liang   +4 more
semanticscholar   +1 more source

Composed Resource Optimization for Multitarget Tracking in Active and Passive Radar Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
In this article, a composed resource optimization (CRO) scheme is developed for an active and passive radar network engaged in multiple target tracking (MTT).
Jinhui Dai, Junkun Yan, Jindong Lv, Lin Ma, Wenqiang Pu, Hongzhi Liu, M. Greco   +6 more
semanticscholar   +1 more source

Jindalee Operational Radar Network: New Growth from Old Roots

International Radar Conference, 2022
The Jindalee Operational Radar Network (JORN) is a network of three over-the-horizon radars providing wide area surveillance to the north of Australia at ranges of 1000 to 3000 km.
D. Holdsworth, Ken Mulder, M. Turley
semanticscholar   +1 more source

Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network

IEEE Transactions on Signal Processing, 2021
In this paper, a target capacity based resource optimization (TC-RO) scheme is developed for multiple target tracking (MTT) application in radar networks.
Junkun Yan, Jinhui Dai, Wenqiang Pu, Hongwei Liu, M. Greco   +4 more
semanticscholar   +1 more source

Vital Sign Detection in Any Orientation Using a Distributed Radar Network via Modified Independent Component Analysis

IEEE transactions on microwave theory and techniques, 2021
Recent advances in radar systems have demonstrated the possibility of noncontact human vital signs detection. Most prior research has focused on vital sign detection with specific subjects’ orientations.
Wei Ren, Fugui Qi, F. Foroughian, T. Kvelashvili, Q. Liu, O. Kilic, Teng Long, A. Fathy   +7 more
semanticscholar   +1 more source

Deep Reinforcement Learning-Based Radar Network Target Assignment

IEEE Sensors Journal, 2021
This study focuses on the problem of target assignment when a phased-array radar network detects hypersonic-glide vehicles in near-space and proposes a method for target assignment based on deep reinforcement learning.
Fanqing Meng, Kangsheng Tian, Changfei Wu   +2 more
semanticscholar   +1 more source