Results 81 to 90 of about 171,155 (269)
An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology
Ontology gives us a reliable group of concepts and the relations between concepts in an IOT system. It does not only save words of format but also accurately transfers semantic data between human users and the computers.
Yuan Xu, Chunhong Zhang, Yang Ji
doaj +1 more source
Subsquares in Random Latin Squares and Rectangles
ABSTRACT A k×n $k\times n$ partial Latin rectangle is C‐sparse $C \mbox{-} \mathrm{sparse}$ if the number of nonempty entries in each row and column is at most C $C$ and each symbol is used at most C $C$ times. We prove that the probability a uniformly random k×n $k\times n$ Latin rectangle, where k<(1∕2−α)n $k\lt (1\unicode{x02215}2-\alpha )n ...
Alexander Divoux +3 more
wiley +1 more source
There is a risk when company stakeholders make decisions using accounting information with varied qualities in the same way. In order to evaluate the accounting information quality, this paper proposed an approach to the evaluation of the quality of ...
Ming Li +3 more
doaj +1 more source
Optimal Deterministic Polynomial-Time Data Exchange for Omniscience [PDF]
We study the problem of constructing a deterministic polynomial time algorithm that achieves omniscience, in a rate-optimal manner, among a set of users that are interested in a common file but each has only partial knowledge about it as side-information.
Gastpar, Michael +4 more
core
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w)$$ G=\left(V,\kern0.3em E,\kern0.3em w\right) $$ is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP$$ \mathbf{NP} $$‐hard. Next to 13 novel data
Jannick Borowitz +2 more
wiley +1 more source
Risk management is critical to the success of electric vehicle charging infrastructure public–private partnership (EVCI-PPP) projects, as risks are present throughout the whole life cycle of projects. However, in EVCI-PPP projects, risk factors are
Lihui Zhang +3 more
doaj +1 more source
Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning
ABSTRACT Accelerated life tests (ALTs) are essential tools for estimating product reliability under high‐stress conditions, allowing failure data to be collected in reduced timeframes. However, planning effective ALT configurations is a complex task that requires selecting stress levels, test durations, and unit allocations while accounting for limited
Allan Jonathan da Silva +3 more
wiley +1 more source
Loss Behavior in Supervised Learning With Entangled States
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source
Abstract Representational drift is a phenomenon of increasing interest in the cognitive and neural sciences. While investigations are ongoing for other sensory cortices, recent research has demonstrated the pervasiveness in which it occurs in the piriform cortex for olfaction.
Ann‐Sophie Barwich +1 more
wiley +1 more source
Data‐Based Refinement of Parametric Uncertainty Descriptions
ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley +1 more source

