With the rapid increase of number processors in multiprocessor systems and fast expansion interconnection networks, reliability network is facing severe challenges, where recognition fault crucial. In practice, most processor failures are intermittent faults. this article, we first determine diagnosability <inline-formula><tex-math notation="LaTeX">$t_{I}^{PMC}(S_{n}^{2})$</tex-math></inline-formula> notation="LaTeX">$n$</tex-math></inline-formula> -dimensional split-star...

Crop breeding is one of the main approaches to increase crop yield and improve quality. However, process faces challenges such as complex data, difficulties in data acquisition, low prediction accuracy, resulting efficiency long cycle. Deep learning-based a strategy that applies deep learning techniques optimize process, leading accelerated improvement, enhanced efficiency, development higher-yielding, more adaptive, disease-resistant varieties for agricultural production. This perspective...

The <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t/kt/k-diagnosability</i> and xmlns:xlink="http://www.w3.org/1999/xlink">hh-extra connectivity</i> are regarded as two important indicators to improve the network reliability. t/k-diagnosis strategy can significantly self-diagnosing capability of a at expense no more than xmlns:xlink="http://www.w3.org/1999/xlink">k</i> fault-free nodes being mistakenly diagnosed faulty....

The power communication network (PCN) is the backbone of system. However, faulty nodes in may cause interruptions, seriously affecting reliable operation Therefore, accurate diagnosis crucial for timely detection, localization, and troubleshooting. Based on graph neural networks, we propose a Neighbour Selection Merge Fault Diagnosis (NSMFD) strategy, which aims to identify capturing structure information node feature information. First, construct representation PCN, where represent devices...

The Augmented Intelligence of Things (AIoT) is an emerging technology that combines augmented intelligence with the Internet (IoT) to facilitate advanced decision-making processes. In this paper, we focus on detection vehicle trajectory anomalies in a vehicle-road collaboration system by AIoT, aiming improve traffic safety and road operation efficiency. We transmit data collected sensors IoT server, which enables effective analysis for information. propose self-supervised learning algorithm...

A network's diagnosability is the maximum number of faulty vertices that network can discriminate solely by performing mutual tests among vertices. The original without any condition often rather low because it bounded minimum degree. h-extra fault an important and widely accepted diagnostic strategy as a new measure diagnosability, which guarantees scale every component at least h+1 in remaining system. Moreover, increases allowed vertices, hence enhancing network. There have been lots...

Fault diagnosability is utilized as a significant measure that reflects the reliability of multiprocessor system. However, people frequently pay close attention to entire systems while ignoring important local information. The m-fault-free-neighbor fault (for short, m-FFNLFD) novel indicator, which describes system at node with m fault-free neighbors. In this paper, we propose m-FFNLFD general networks under Preparata Metze Chien model. Moreover, also characterize some properties comparison...

With the rapid growth of number processors in a multiprocessor system, faulty occur it with probability that rises quickly. The subsystem an appropriate size being fault-free definite time interval is significant and practical measure reliability for which characterizes functionality system well. Motivated by study subgraph reliability, as well attractive structure fault tolerance properties <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

The growing demand for high-performance computing and the acceleration of information processing have brought multiprocessor systems into era E-class computing. reliability interconnection networks built on is facing severe challenges with rapid growth networks' scale. For example, a large-scale processor failure may disconnect entire network result in appearance many different components. Rapid fault diagnosis has great advantages industry, especially real-time systems, which means that...

Ensuring the stability and security of unmanned aerial vehicle (UAV) communication, especially during long-distance missions, is essential for safeguarding against potential attacks. Large-scale UAV communication faces challenges including eavesdropping threat, data tampering, replay threat man-in-the-middle threat. We propose a information transmission solution based on reinforcement learning location confusion algorithm (RLPC-SIT) to achieve secure between UAVs. First, we leverage...

The attackers in a network may have tendency of targeting on group clustered nodes, and they hope to avoid the existence significant large communication groups remaining network, such as botnet attack, DDoS Local Area Network Denial attack. Current various kinds connectivity do not well reflect fault tolerance under these attacks. This observation inspires new measure for reliability resist block attack by taking into account dispersity nodes. Let <inline-formula><tex-math...

For interconnection network losing processors, it is considerable to calculate the number of vertices in maximal component surviving network. Moreover, connectivity a significant indicator for reliability presence failing processors. In this article, we first prove that when set <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula> at most...

The fault diagnosability of a network indicates the self-diagnosis ability network, thus it is an important measure robustness network. As neoteric feature for measuring diagnosability, r -component ct (G) G imposes restriction that number components at least in remaining by deleting faulty set X , which enhances . In this article, we establish n -dimensional hierarchical cubic HCN and show that, under both PMC model MM* model, rn -½( -1) +1 ≥ 2 1≤ r≤ n-1 Moreover, introduce concepts 0-PMC...

Connectivity plays an crucial role in measuring the fault tolerance of a multiprocessor system case vertices failures. Extra connectivity is important indicator network's ability for diagnosis and tolerance. In this paper, we analyse n,k-dimensional enhanced hypercube, well-known interconnection network denoted by Qn,k proposed systems, establish {1,2,3}-extra Qn,k.

Summary The problem of influence maximization (IM) has become an important research topic due to the rapid growth mobile social networks. It attempts identify a set nodes, referred as influencers, contributing spread maximum information. In this article, we present construction relation graph based on communication data. And propose new centrality measure—activity degree characterize activity nodes. By combining local attributes nodes and behavioral characteristics measure node degree, which...

Cyberspace is not a "vacuum space", and it normal that there are inevitable viruses worms in cyberspace. security threats stem from the problem of endogenous security, which caused by incompleteness theoretical system technology information field itself. Thus impossible unnecessary for us to build an "aseptic" On contrast, we must focus on improving "self-immunity" network. Literally, effect its own structural factors rather than external ones. The <inline-formula><tex-math...

Abstract Reliability of a multiprocessor system becomes an important issue for parallel computing. Component diagnosability and component connectivity graph play crucial roles in assessing the vulnerability interconnection network, which are two significant indicators reliability fault tolerance system. Until now, only little knowledge results have been known on $r$-component connectivity. In this paper, we first propose $n$-dimensional alternating group $AG_{n}$ under PMC model. And then...

A human contact network (HCN) consists of individuals moving around and interacting with each other. In HCN, it is essential to detect malicious users who break the data delivery through terminating or tampering data. Since will pay more but gain less when breaking opportunistic contacts, we focus on non-opportunistic contacts that occur frequently stably. It observed people other if they have social features in common. this paper, build up topology structure for HCN based features, propose...