Online social networks greatly promote peoples'online interaction,where trust plays a crucial *** prediction with trust path search is widely used to help users find the trusted friends and obtain valid ***,the sh...
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Online social networks greatly promote peoples'online interaction,where trust plays a crucial *** prediction with trust path search is widely used to help users find the trusted friends and obtain valid ***,the shortcomings of accuracy and time still exist in some famous ***,the dynamic bidirectional heuristic search(DBHS)algorithm is proposed in this paper to find the reliable trust path by studying the heuristic ***,the trust value and path length are comprehensively considered to find the most trusted ***,it constrains the traversal depth based on the‘small world’theory and obtains the acceptable path set by using the relaxation coefficientλto relax the depth of the shortest *** this way,some longer path with the higher trust can be considered to improve the precision of ***,an adjustment factor is designed based on the meet in the middle(MM)algorithm to assign search weights to two directions based on the size of the search tree expanded,so as to improve the problem of no priori when fixed parameters are ***,the complexity of unidirectional trust path search can also be reduced by searching from two directions,which can reduce the depth and improve the efficiency of ***,the predictive trust degree is outputted by the trust propagation *** public datasets are used to generate experimental results,which show that DBHS can quickly search and form reliable trust relationship,and it partly improves other algorithms.
Autism Spectrum Disorder (ASD) is a developmental condition resulting from abnormalities in brain structure and function, which can manifest as communication and social interaction difficulties. Conventional methods f...
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In this note, we present the synthesis of secure-by-construction controllers that address safety and security properties simultaneously in cyber-physical systems. Our focus is on studying a specific security property ...
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In the current industrial environment, which is shifting towards an event-based control prone paradigm, sampling strategies in use must be revisited. Both temporal and magnitude dependent sampling strategies have been...
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Semantic communications offer promising prospects for enhancing data transmission efficiency. However, existing schemes have predominantly concentrated on point-to-point transmissions. In this paper, we aim to investi...
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One of the objectives of event-based control is the reduction of generated events to perform an appropriate process control. Among the event generation techniques used to this end, those quantifying the error signal c...
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This paper proposes a new variable gain robust state observer for a class of uncertain nonlinear systems. The variable gain robust state observer proposed in this paper consists of fixed observer gain matrices and non...
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We consider the problem of control allocation for weakly redundant systems subject to actuator faults. In particular, the design of a suitable allocator will be devised with the aim of compensating for the fault effec...
In this paper, we propose a design method for a new event-trigger-based variable gain robust controller which achieves both consensus and guaranteed cost performance for a class of uncertain multi-agent systems (MASs)...
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Background: Heart disease is considered one of the complex diseases that has affected a large number of people around the world. It is important to detect and identify cardiac diseases at early stages. Objective: A la...
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