Trail optimization framework to detect nonlinear object motion in video sequences
Sign Up to like & getrecommendations! Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01581-7
Abstract: Detecting and tracking multiple moving objects in a sequence of video images is an important application in automated surveillance systems, service robots, target discrimination, traffic monitoring, etc. Since these systems require real-time processing, providing an… read more here.
Keywords: video; motion; moving objects; trail optimization ... See more keywords
A multi-scale optimization framework for electricity market participation
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2016.12.081
Abstract: Power grids coordinate a diverse set of energy systems (generators, loads, storage devices) to ensure that supply and demands are matched at multiple timescales (from hours to milliseconds). Such coordination is achieved through hierarchical market… read more here.
Keywords: energy; framework; market; multi scale ... See more keywords
A new hybrid aerodynamic optimization framework based on differential evolution and invasive weed optimization
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2018.05.002
Abstract: Abstract Since many aerodynamic optimization problems in the area of aeronautics contain highly nonlinear objectives and multiple local optima, it is still a challenge for most of the traditional optimization methods to find the global… read more here.
Keywords: framework based; framework; aerodynamic optimization; new hybrid ... See more keywords
A stochastic multi-objective optimization framework for distribution feeder reconfiguration in the presence of renewable energy sources and energy storages
Sign Up to like & getrecommendations! Published in 2021 at "Journal of energy storage"
DOI: 10.1016/j.est.2021.102775
Abstract: Abstract In this paper, a multi-objective optimization framework is proposed to solve the distribution feeder reconfiguration (DFR) problem and its operation considering the demand response (DR) program, renewable energy sources (RES's), and electrical energy storages… read more here.
Keywords: distribution feeder; distribution; objective optimization; energy ... See more keywords
A generic optimization framework for resilient systems
Sign Up to like & getrecommendations! Published in 2023 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2022.2142581
Abstract: ABSTRACT This paper addresses the optimal design of resilient systems, in which components can fail. The system can react to failures and its behaviour is described by general mixed integer nonlinear programs, which allows for… read more here.
Keywords: resilient systems; system; optimization; level ... See more keywords
An optimization framework for network annotation
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty236
Abstract: Motivation A chief goal of systems biology is the reconstruction of large‐scale executable models of cellular processes of interest. While accurate continuous models are still beyond reach, a powerful alternative is to learn a logical… read more here.
Keywords: large scale; framework; framework network; annotation ... See more keywords
Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3052936
Abstract: This letter proposes a new optimization framework for power-domain non-orthogonal multiple access (PD-NOMA) ambient backscatter communication (AmBC) system with imperfect successive interference cancellation (SIC) decoding. In particular, we jointly optimize the transmit power of the… read more here.
Keywords: backscatter enabled; optimization; new optimization; optimization framework ... See more keywords
Multiple UAV-Borne IRS-Aided Millimeter Wave Multicast Communications: A Joint Optimization Framework
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3111602
Abstract: In this letter, we design a resource allocation algorithm for communications in millimeter wave (mmWave) multicast systems adopting multiple unmanned aerial vehicle (UAV)-borne intelligent reflecting surfaces (IRSs). Considering the effect of blockages of buildings, we… read more here.
Keywords: joint optimization; uav borne; millimeter wave; optimization ... See more keywords
A Multi-Level Optimization Framework for Simultaneous Grasping and Motion Planning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2974684
Abstract: We present an optimization framework for grasp and motion planning in the context of robotic assembly. Typically, grasping locations are provided by higher level planners or as input parameters. In contrast, our mathematical model simultaneously… read more here.
Keywords: optimization; level; grasping locations; motion planning ... See more keywords
A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks With Mobile Manipulators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187258
Abstract: This letter proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type physical interface to obtain intuitive and simplified human demonstrations and Gaussian Mixture… read more here.
Keywords: mobile manipulators; learning optimization; physically interactive; framework ... See more keywords
Boundary-Guided Optimization Framework for Saliency Refinement
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2801821
Abstract: Salient object detection has made a rapid progress in recent years. To improve the quality of initial saliency maps, existing algorithms typically refine them via a neighbor-constrained smoothing model, which assigns similar saliency values to… read more here.
Keywords: saliency; boundary guided; guided optimization; optimization ... See more keywords