Uniqueness of weak solutions to a Keller-Segel-Navier-Stokes model
 
with a logistic source

Chen, Miaochao; Lü, Sihua; Liu, Qilin

doi:10.21136/am.2021.0069-20

Cited by 51 publications

(38 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the research of target tracking, many problems will arise, such as the color complexity of the target and its own rotation transformation, the target is partially or completely occluded, the nonrigid performance of the object changes, the position changes drastically, and the background environment is complex [11,12]. e target and the background are more similar, and many scholars have proposed many better algorithms to overcome this difficulty in these years [13,14].…”

Section: Related Workmentioning

confidence: 99%

Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm

Guo

2021

Complexity

View full text Add to dashboard Cite

This paper proposes a fusion stadium positioning algorithm, which uses self-optimizing particle filter to integrate the improved athlete dead reckoning and WiFi position fingerprint algorithm for stadium positioning. In order to determine the initial absolute position of the stadium positioning, for athletes entering the stadium from the outside, a seamless switching algorithm outside the stadium is proposed, using the characteristics of high-altitude satellite GPS to find a suitable switching point as the initial absolute position. If in the stadium, WiFi static positioning determines the initial absolute position. Then, aiming at the problem that the poorly diversified particles cannot be better integrated and localized, a self-optimized particle filter algorithm is proposed. After resampling and retaining high-weight particles, the characteristics of low-weight particles are embedded in the copied high-weight particles. This can improve diversity, and we finally carry out fusion positioning. The target tracking algorithm based on Mean Shift has a fixed-scale tracking window, and the tracking effect of variable-size targets is not ideal. In this paper, an affine transformation algorithm is introduced to improve it. First, we iterate the adjacent image frames in reverse Mean Shift to determine the center position of the target and then use the corner matching method to perform template matching on the target to adjust the size of the tracking window. Through simulation verification, it is proved that the optimized particle filter hybrid tracking algorithm can achieve the ideal result when the target size changes. For the image sequence S1, the tracking window of the 20th frame and the 40th frame has a small offset, but the optimal position can be quickly found by Mean Shift iteration. For the image sequence S2, between the 40th frame and the 60th frame, the target occlusion causes the accuracy of the target template to decrease, and the Bhattacharyya coefficient is at a relatively low value. For the image sequence S3, the tracking effect of the optimized particle filter hybrid tracking algorithm meets the requirements.

show abstract

Section: Related Workmentioning

confidence: 99%

Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm

Guo

2021

Complexity

View full text Add to dashboard Cite

show abstract

“…The innovative significance of the marketing products of the Internet of Things financial blockchain is summarized: from the customer's point of view, its premium collection is more scientific, the efficiency of claim settlement is improved, and the probability of risk occurrence is reduced. From the perspective of the marketing company of the financial blockchain, the marketing products of the Internet of Things financial blockchain innovate profit models and create new benefits, innovate risk control models and reduce costs, improve customer service levels, and increase insurance renewal rates [28][29][30].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Marketing Method and System Optimization Based on the Financial Blockchain of the Internet of Things

Yan

Zhu²,

Ouyang

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This article makes relevant research and analysis from theory and practice, respectively. At the same time, with reference to the current state of the Internet, relative analysis was used to focus on the state of commercial banks. The analysis mainly focuses on the problems encountered in the current Internet development in various forms such as the bank’s sales status and customer products. In addition, it really made a reasonable opinion about the relevant sales status of this bank. It systematically studied the development history of marketing products of financial blockchain in China’s financial blockchain and analyzed the process of gradual improvement of the functions and characteristics of marketing products of financial blockchain in China. The characteristics and shortcomings of the marketing products of the financial blockchain were discussed in detail, and from the perspective of technological innovation, the application of emerging technologies in the marketing of China’s financial blockchain was analyzed. This article analyzes the many challenges and opportunities faced by security firms in the development of the Internet. Under the new situation, what kind of development model to adopt and how to transform and upgrade is the strategic proposition that security firms must think about. Based on Internet finance, this article finds that the equity crowdfunding model can be selected in the future development of security companies. On the one hand, the use of equity crowdfunding by security firms can enhance their direct financing capabilities, which will benefit the security industry, especially Internet security firms. On the other hand, through equity crowdfunding, security companies can expand direct financing channels for small, medium, and micro enterprises to promote entrepreneurship. The paper promotes the development of Internet finance, thereby improving the ability of the capital market to serve the real economy.

show abstract

“…Based on Grey Association Decision Algorithm [27][28][29][30][31][32]. Nodes are composed of IoT security sensor modules, processor modules, grey correlation communication modules, and energy supply modules [33][34][35]. According to their functions, they can be divided into four categories: node coordinator, router, enhanced end device node, and streamlined end device node.…”

Section: Construction Of Iot Security Detection Modelmentioning

confidence: 99%

[Retracted] Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm

et al. 2021

View full text Add to dashboard Cite

This paper analyzes the current real-time monitoring system based on grey-related IoT security sensors for the detection of risk factors in the production environment of the Internet of Things and proposes a design plan for the Internet of Things environment monitoring based on the grey-related Internet of Things security sensor network, and according to the reliability guarantee mechanism of the system, a three-dimensional uniform IoT node deployment method suitable for IoT security monitoring is proposed. Based on the grey correlation analysis, it can provide a quantitative measurement analysis for the development and change state of a system, which is very suitable for the analysis of dynamic operating systems. As a real-time dynamic system of the Internet of Things, the use of grey correlation method to analyze its network security status has good operability and practical value. According to the multisource information processing technology, the monitoring data are preprocessed by dynamic limiting filtering, and then the data are fused at the data level with the optimal weighting algorithm. Through the use of grey correlation analysis to quantify the relative impact of cyberattacks on the network within a certain period of time, the quantitative assessment of the security environment and status of the entire network is realized. Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision-level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.

show abstract

Uniqueness of weak solutions to a Keller-Segel-Navier-Stokes model with a logistic source

Cited by 51 publications

References 17 publications

Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm

Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm

[Retracted] Marketing Method and System Optimization Based on the Financial Blockchain of the Internet of Things

[Retracted] Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm

Contact Info

Product

Resources

About