Conventionally the occurrence of topological phase transitions (TPTs) requires gap closing, whereas there are also unconventional cases without need closing. Although traditionally TPTs lie in many-body systems condensed matter, both may find analogs few-body systems. Indeed, ground-state node number provides a classification for single-qubit While no-node theorem spinless is shown to restrict ...

Wireless communications play a critical role in the applications of Internet Things (IoT). The Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) is well-proven wireless random access protocol. A crucial factor affecting performance networks “hidden node collision,” which incurs degradation and lower resource utilization. Grouping an efficient strategy for hidden avoidance. In current ...

In most sensor networks the nodes are static. Nevertheless, node connectivity is subject to changes because of disruptions in wireless communication, transmission power changes, or loss of synchronization between neighboring nodes. Hence, even after a sensor is aware of its immediate neighbors, it must continuously maintain its view, a process we call continuous neighbor discovery. In this work...

In the construction of a Bayesian network f fom observed data, the findamental assumption that the variables starting @om the same parent are conditionally independent can be met by introduction of hidden node [Kwoh and Gillies 1994al. In the paper, we have shown that the conditional probability matrices for the hidden node for a triplet, linking three observed nodes, can be determined by the g...

Consider a social network and suppose that we are only given the number of common friends between each pair of users. Can we reconstruct the underlying network? Similarly, consider a set of documents and the words that appear in them. If we only know the number of common words for every pair of documents, as well as the number of common documents for every pair of words, can we infer which word...

This paper presents a new neural network structure and namely node-to-node-link neural network (N-N-LNN) and it is trained by real-coded genetic algorithm (RCGA) with average-bound crossover and wavelet mutation [1]. The N-N-LNN exhibits a node-to-node relationship in the hidden layer and the network parameters are variable. These characteristics make the network adaptive to the changes of the ...

In the paper, we present an approach to inferring 3D subtree structures from image pairs. The 3D structure is treated as a hidden Bayesian network, of which each node corresponds to an attributed skeleton point. The network structure is inferred in a bottom-up fashion. At the beginning, the root node of a subtree is manually specified in the images and then computed using stereo triangulation. ...