This study applies single-valued neutrosophic sets, which extend the frameworks of fuzzy and intuitionistic fuzzy sets, to graph theory. We introduce a new category of graphs called Single-Valued Heptapartitioned Neut...
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In LEO satellite communication networks,the number of satellites has increased sharply, the relative velocity of satellites is very fast, then electronic signal aliasing occurs from time to time. Those aliasing signal...
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In LEO satellite communication networks,the number of satellites has increased sharply, the relative velocity of satellites is very fast, then electronic signal aliasing occurs from time to time. Those aliasing signals make the receiving ability of the signal receiver worse, the signal processing ability weaker,and the anti-interference ability of the communication system lower. Aiming at the above problems, to save communication resources and improve communication efficiency, and considering the irregularity of interference signals, the underdetermined blind separation technology can effectively deal with the problem of interference sensing and signal reconstruction in this scenario. In order to improve the stability of source signal separation and the security of information transmission, a greedy optimization algorithm can be executed. At the same time, to improve network information transmission efficiency and prevent algorithms from getting trapped in local optima, delete low-energy points during each iteration process. Ultimately, simulation experiments validate that the algorithm presented in this paper enhances both the transmission efficiency of the network transmission system and the security of the communication system, achieving the process of interference sensing and signal reconstruction in the LEO satellite communication system.
In mega-constellation Communication Systems, efficient routing algorithms and data transmission technologies are employed to ensure fast and reliable data transfer. However, the limited computational resources of sate...
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In mega-constellation Communication Systems, efficient routing algorithms and data transmission technologies are employed to ensure fast and reliable data transfer. However, the limited computational resources of satellites necessitate the use of edge computing to enhance secure *** edge computing reduces the burden on cloud computing, it introduces security and reliability challenges in open satellite communication channels. To address these challenges, we propose a blockchain architecture specifically designed for edge computing in mega-constellation communication systems. This architecture narrows down the consensus scope of the blockchain to meet the requirements of edge computing while ensuring comprehensive log storage across the network. Additionally, we introduce a reputation management mechanism for nodes within the blockchain, evaluating their trustworthiness, workload, and efficiency. Nodes with higher reputation scores are selected to participate in tasks and are appropriately incentivized. Simulation results demonstrate that our approach achieves a task result reliability of 95% while improving computational speed.
The meta-heuristic algorithm is a global probabilistic search algorithm for the iterative *** has good performance in global optimization fields such as *** this paper,a new adaptive parameter strategy and a parallel ...
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The meta-heuristic algorithm is a global probabilistic search algorithm for the iterative *** has good performance in global optimization fields such as *** this paper,a new adaptive parameter strategy and a parallel communication strategy are proposed to further improve the Cuckoo Search(CS)*** strategy greatly improves the convergence speed and accuracy of the algorithm and strengthens the algorithm’s ability to jump out of the local *** paper compares the optimization performance of Parallel Adaptive Cuckoo Search(PACS)with CS,Parallel Cuckoo Search(PCS),Particle Swarm Optimization(PSO),Sine Cosine Algorithm(SCA),Grey Wolf Optimizer(GWO),Whale Optimization Algorithm(WOA),Differential Evolution(DE)and Artificial Bee Colony(ABC)algorithms by using the CEC-2013 test *** results show that PACS algorithmoutperforms other algorithms in 20 of 28 test *** to the superior performance of PACS algorithm,this paper uses it to solve the problem of the rectangular *** results show that this scheme has a significant effect,and the material utilization rate is improved from89.5%to 97.8%after optimization.
Among various temporal knowledge graph (TKG) extrapolation methods, rule-based approaches stand out for their explicit rules and transparent reasoning paths. However, the vast search space for rule extraction poses a ...
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To address the problem of traditional speed loop controllers being unable to achieve rapid system convergence in the face of complex external operating conditions, this paper designs a new nonsingular fast terminal sl...
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The current study aims to investigate the potential interaction between glycosylation profiles of the Ningxiang breed(NX)and Western DurocLandraceYorkshire breed(DLY)weaned piglets,and their characteristic microbes,...
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The current study aims to investigate the potential interaction between glycosylation profiles of the Ningxiang breed(NX)and Western DurocLandraceYorkshire breed(DLY)weaned piglets,and their characteristic microbes,employing integrated analyses of transcriptomics and ***(12 NX and 12 DLY)at 28 days of age were transported into an experimental house and fed the same weaned piglet *** trail period was 7 *** revealed that the NX piglets had a higher growth-to-feed ratio,body weight gain scale,and lower pathological score of intestinal injury compared with the DLY piglets(P<0.01).DLY piglets displayed elevated mRNA expression levels of MUC2 and MUC5AC in colonic mucosal tissue than NX piglets(P<0.05).Within the O-linked glycosylated differentially expressed genes(DEGs),FNTA,GALNT18,POMGNT1,POMGNT2,and POMT1 were significantly upregulated in DLY piglets relative to NX piglets(P<0.05).Conversely,C1GALT2,GALNT1,KMT2C,and OGT were significantly downregulated in DLY piglets compared to NX piglets(P<0.05).The KMT2C gene was hardly expressed in the transcriptome of DLY *** the phylum taxonomic level,NX piglets had a higher abundance of Firmicutes,while DLY piglets had a higher abundance of *** the genus taxonomic level,NX piglets had a higher abundance of Lactobacillus,whereas DLY piglets had a higher abundance of Collinsella,Enterococcus and *** results of the correlation between intestinal differential bacteria and O-chain glycosylated DEG showed that C1GALT2,GALNT1 and KMT2 were associated with Lactobacillus_pontis showed a positive correlation(R=0.67).Through comparative analysis of differentially glycosylated genes and their associated functions,this study highlights the potential role of reduced expression of GALNT1 and KMT2C genes,involved in O-linked protein and glycan reactions,in impairing the intestinal barrier function of DLY ***,members of the Lactobacillus and Prevotella genera m
The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on met...
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The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on methods frequently encounter challenges, including misalignment between the body and clothing, noticeable artifacts, and the loss of intricate garment details. To overcome these challenges, we introduce a two-stage high-resolution virtual try-on framework that integrates an attention mechanism, comprising a garment warping stage and an image generation stage. During the garment warping stage, we incorporate a channel attention mechanism to effectively retain the critical features of the garment, addressing challenges such as the loss of patterns, colors, and other essential details commonly observed in virtual try-on images produced by existing methods. During the image generation stage, with the aim of maximizing the utilization of the information proffered by the input image, the input features undergo double sampling within the normalization procedure, thereby enhancing the detail fidelity and clothing alignment efficacy of the output image. Experimental evaluations conducted on high-resolution datasets validate the effectiveness of the proposed method. Results demonstrate significant improvements in preserving garment details, reducing artifacts, and achieving superior alignment between the clothing and body compared to baseline methods, establishing its advantage in generating realistic and high-quality virtual try-on images.
This article explores the impact of source data compression on the performance of task execution at the receiver side of a communication system, and investigates the interference and impact of channel environment vari...
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This paper proposes a Markov decision process based service migration algorithm to satisfy quality of service(QoS) requirements when the terminals leave the original server. Services were divided into real-time servic...
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This paper proposes a Markov decision process based service migration algorithm to satisfy quality of service(QoS) requirements when the terminals leave the original server. Services were divided into real-time services and non-real-time services, each type of them has different requirements on transmission bandwidth and latency,which were considered in the revenue function. Different values were assigned to the weight coefficients of QoS parameters for different service types in the revenue and cost functions so as to distinguish the differences between the two service types. The overall revenue was used for migration decisions, rather than fixed threshold or instant *** Markov decision process was used to maximize the overall revenue of the system. Simulation results show that the proposed algorithm obtained more revenue compared with the existing works.
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