Many-Objective Deployment Optimization for a Drone-Assisted Camera Network

Cao, Bin; Li, Meng; Liu, Xin; Zhao, Jianwei; Cao, Wei; Lv, Zhihan

doi:10.1109/tnse.2021.3057915

Cited by 122 publications

(62 citation statements)

References 41 publications

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“…With the formation of clear action image and the establishment of correct action concept, through visual and auditory information feedback, students gradually establish the proprioception of muscle activities in imitation and trial, and the excitation and inhibition of nerve center are gradually improved and accurate in time and space, initially forming the action skill of in situ one-handed shoulder shooting, but at this time, the action is not coordinated and coherent enough, and it is easy to be disturbed by new differences or strong stimuli [13][14][15][16][17][18]. erefore, in the differentiation stage, we should also pay attention to avoid the generation and correction of nonstandard actions.…”

Section: Intelligent Correction Methods Of Shooting Actionmentioning

confidence: 99%

Intelligent Correction Method of Shooting Action Based on Computer Vision

Wang

Feng³

2022

Computational Intelligence and Neuroscience

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Aiming at the problem that the students’ long-term use of nonstandard shooting action leads to poor basketball teaching effect, an intelligent correction method of shooting action based on computer vision is proposed. Combined with the principle of computer vision, the image acquisition model of basketball shooting action is constructed. The edge contour and adaptive feature segmentation of basketball images are detected, and abnormal shooting movements are recognized. The intelligent correction model of shooting action is constructed, and the intelligent correction of shooting action is realized. Finally, through experiments, it is proved that the visual analysis and intelligent correction effect of basketball shooting action are obviously better, and it can correct shooting action in real time and accurately.

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Section: Intelligent Correction Methods Of Shooting Actionmentioning

confidence: 99%

Intelligent Correction Method of Shooting Action Based on Computer Vision

Wang

Feng³

2022

Computational Intelligence and Neuroscience

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“…Heuristic algorithms were utilized to tackle the interval scheduling issue in other publications. Such algorithms cannot discover near‐optimal solutions to difficult situations 69 . Because schedule optimization is one of the difficult issues, meta‐heuristic techniques should be used to discover nearly optimum solutions 47 …”

Section: Resultsmentioning

confidence: 99%

“…Such algorithms cannot discover near-optimal solutions to difficult situations. 69 Because schedule optimization is one of the difficult issues, meta-heuristic techniques should be used to discover nearly optimum solutions. 47 For tackling the VMP issue, various studies suggest employing nature-inspired and meta-heuristics algorithms like GA, PSO, shark optimization method, imperialist competitive algorithm, and world cup optimization algorithm.…”

Section: Resultsmentioning

confidence: 99%

Nature‐inspired virtual machine placement mechanisms: A systematic review

Kong

He²,

Abnoosian

2022

Concurrency and Computation

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Cloud data centers do not completely use their resources, resulting in resource underutilization. Cloud computing companies primarily leverage virtualization technologies to supply cost-effective service provision. In order to optimize cloud performance, virtual machines (VMs) must be placed among physical machines (PMs). When it comes to concentrating on the issues in the cloud computing environment, effective VM placement (VMP) is one of the primary difficulties that might cost suppliers money. VMP may be applied in a variety of ways in cloud computing. In terms of lowering related processing overhead, consolidating the cloud environment to become a highly on-demand method, balancing the load among PMs, power usage, and refining performance, VMP techniques still require improvement in the computing environment. This study aims to provide a comprehensive overview of VMP approaches. This article provides an up-to-date survey of the most related VMP literature to highlight study possibilities in cloud settings utilizing nature-inspired metaheuristic algorithms. The findings suggest that placing VMs in the most efficient place saves power usage substantially. The key problem is to minimize data center energy usage without compromising performance or breaking service level agreements. Finally, we will discuss and look at what further may be accomplished in this line of science.

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“…e collected data usually contain important information, and if it cannot be processed in time or improperly, there will be a serious impact on the real-time and e ectiveness of the data, and even some wrong data information may appear, leading to users' wrong decisions. In view of missing data, we need to ll in the data in time [10][11][12][13][14][15]. Relevant scholars have studied this problem and achieved some results.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Filling High Rank Matrix of Network Big Data Based on Density Peak Clustering

Liu

2022

Mathematical Problems in Engineering

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The traditional filling method for network big data matrix has poor filling effect and suffers from noise. Therefore, a filling algorithm for network big data high rank matrix based on density peak clustering is proposed. The missing data are replaced by small-interval data, the information entropy of the high rank matrix of network big data is calculated, the density peak clustering algorithm is optimized through the cluster center selection strategy, the block data set is obtained through the unknown block method, and the block filling is realized by the host filling algorithm. Experimental results show that the filling accuracy of the proposed algorithm is as high as 0.895, and the loss rate is between 2% and 12%.

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Many-Objective Deployment Optimization for a Drone-Assisted Camera Network

Cited by 122 publications

References 41 publications

Intelligent Correction Method of Shooting Action Based on Computer Vision

Intelligent Correction Method of Shooting Action Based on Computer Vision

Nature‐inspired virtual machine placement mechanisms: A systematic review

Algorithm for Filling High Rank Matrix of Network Big Data Based on Density Peak Clustering

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