The finite/fixed-time stabilization and tracking control is currently a hot field in various systems since the faster convergence can be obtained. By contrast to the asymptotic stability,the finite-time stability poss...
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The finite/fixed-time stabilization and tracking control is currently a hot field in various systems since the faster convergence can be obtained. By contrast to the asymptotic stability,the finite-time stability possesses the better control performance and disturbance rejection property. Different from the finite-time stability, the fixed-time stability has a faster convergence speed and the upper bound of the settling time can be estimated. Moreover, the convergent time does not rely on the initial *** work aims at presenting an overview of the finite/fixed-time stabilization and tracking control and its applications in engineering systems. Firstly, several fundamental definitions on the finite/fixed-time stability are recalled. Then, the research results on the finite/fixed-time stabilization and tracking control are reviewed in detail and categorized via diverse input signal structures and engineering applications. Finally, some challenging problems needed to be solved are presented.
Many applications involve the phenomenon of a material absorbing electromagnetic radiation. By exploiting wave interference, the efficiency of absorption can be significantly enhanced. Here, we propose Friedrich-Wintg...
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This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancin...
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Medical image segmentation is a challenging task especially in multimodality medical image *** this paper,an improved pulse coupled neural network based on multiple hybrid features grey wolf optimizer(MFGWO-PCNN)is pr...
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Medical image segmentation is a challenging task especially in multimodality medical image *** this paper,an improved pulse coupled neural network based on multiple hybrid features grey wolf optimizer(MFGWO-PCNN)is proposed for multimodality medical image ***,a two-stage medical image segmentation method based on bionic algorithm is presented,including image fusion and image *** image fusion stage fuses rich information from different modalities by utilizing a multimodality medical image fusion model based on maximum energy *** the stage of image segmentation,an improved PCNN model based on MFGWO is proposed,which can adaptively set the parameters of PCNN according to the features of the *** modalities of FLAIR and TIC brain MRIs are applied to verify the effectiveness of the proposed MFGWO-PCNN *** experimental results demonstrate that the proposed method outperforms the other seven algorithms in subjective vision and objective evaluation indicators.
A growing imbalance between energy carbon emissions and vegetation carbon sequestration is a major imped-iment to achieving Sustainable Development Goals. Decoupling the growing imbalance from economic growthneeds a s...
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A growing imbalance between energy carbon emissions and vegetation carbon sequestration is a major imped-iment to achieving Sustainable Development Goals. Decoupling the growing imbalance from economic growthneeds a stringent and coordinated package of sustainable policies. Previously, enhancing efficiency and vegeta-tion carbon sequestration were dominant drivers to decouple. However, the role and magnitude of restructuringsin the energy sector and economy in decoupling were underestimated. In this context, China’s 30 provinces wereselected as study areas. By employing a carbon footprint pressure (CFP) indicator to represent the imbalance, awidely decoupling method was adopted to describe the decoupling state and trend of CFP and economic *** extended IPAT equation and the Logarithmic Mean Divisia Index method were further used to reveal the roleand magnitude of drivers on decoupling. The findings revealed that the CFP climbed significantly in 26 provincesbetween 2006 and 2015. We discovered that 22 provinces were working toward absolute decoupling, with 15provinces achieving it during the 12-th Five-Year Plan. Our analysis revealed that improving energy efficiencywas the primary driver of absolute decoupling, while substituting natural gas and oil for coal, reducing industryshare, and enhancing carbon sequestration accelerated absolute decoupling. Considering the limited future roleof improving energy efficiency and vegetation carbon sequestration, there is an urgent need to optimize andupgrade the structures of the energy sector and economy to mitigate the future climate risk.
Semantic correspondence remains a challenging task for establishing correspondences between a pair of images with the same category or similar scenes due to the large intra-class appearance. In this paper, we introduc...
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Natural Language Inference (NLI) is a crucial task in natural language processing that involves determining the relationship between two sentences, typically referred to as the premise and the hypothesis. However, tra...
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The transport of radionuclides in the marine has been a hot issue of social concern since the Fukushima accident, especially the Japanese government announced to discharge the wastewater from Fukushima Daiichi Nuclear...
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With the development of society, environmental protection issues have received increasing attention. The increase in environmental protection requirements has greatly affected small and medium-sized enterprises(SMEs...
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With the development of society, environmental protection issues have received increasing attention. The increase in environmental protection requirements has greatly affected small and medium-sized enterprises(SMEs). Due to the poor credit status and imperfect systems of SMEs, financing is difficult and expensive, which makes environmental protection funds insufficient, leading to outstanding environmental protection problems. In the supply chain, in order to maintain the stability of the supply chain, the core enterprises will help SMEs to alleviate the funding difficulties. This article starts from the supply chain financing of SMEs, explores the specific ways that core enterprises can help SMEs in supply chain financing, and analyses the feasibility of financing methods. Through analysis and demonstration, it is found that core enterprises can help SMEs with supply chain financing through prepayments, help small and medium-sized suppliers solve the problem of insufficient environmental protection funds, and core enterprises can obtain benefits from it.
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