A Framework for Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance in a Continuous Space

2021 ◽  
Vol 103 (4) ◽  
Author(s):  
Ryan Day ◽  
John Salmon
Keyword(s):  
Continuous Space ◽  
Multi Uav ◽  
Search And Retrieval

Stable and Supported Semantics in Continuous Vector Spaces

2020 ◽  
Author(s):  
Yaniv Aspis ◽  
Krysia Broda ◽  
Alessandra Russo ◽  
Jorge Lobo
Keyword(s):  
Logic Program ◽  
Matrix Multiplication ◽  
Vector Spaces ◽  
Continuous Space ◽  
Continuous Vector ◽  
Novel Approach ◽  
Gradient Based ◽  
Normal Logic ◽  
Parameter Values ◽  
Normal Logic Program

We introduce a novel approach for the computation of stable and supported models of normal logic programs in continuous vector spaces by a gradient-based search method. Specifically, the application of the immediate consequence operator of a program reduct can be computed in a vector space. To do this, Herbrand interpretations of a propositional program are embedded as 0-1 vectors in $\mathbb{R}^N$ and program reducts are represented as matrices in $\mathbb{R}^{N \times N}$. Using these representations we prove that the underlying semantics of a normal logic program is captured through matrix multiplication and a differentiable operation. As supported and stable models of a normal logic program can now be seen as fixed points in a continuous space, non-monotonic deduction can be performed using an optimisation process such as Newton's method. We report the results of several experiments using synthetically generated programs that demonstrate the feasibility of the approach and highlight how different parameter values can affect the behaviour of the system.

Autonomous Hierarchical Multi-Level Clustering for Multi-UAV Systems

2021 ◽  
Author(s):  
Jonathan Ponniah ◽  
Mirco Theile ◽  
Or Dantsker ◽  
Marco Caccamo
Keyword(s):  
Multi Level ◽  
Multi Uav

Search and Retrieval Index to EOS/ESD Symposium Proceedings - 1979 to 1984.

1985 ◽  
Author(s):  
R. E. Rash ◽  
Wanner Jr. ◽  
R. T.
Keyword(s):  
Search And Retrieval

CAUSE Multi-UAV Simulation Demonstration

2011 ◽  
Author(s):  
Herbert E. Viggh ◽  
Christopher Weed ◽  
Michael T. Chan ◽  
Daniel J. Van Hook
Keyword(s):  
Multi Uav

Ensemble Visual Content based Search and Retrieval for Natural Scene Images

2019 ◽  
Vol 12 ◽  
Author(s):  
Pushpendra Singh ◽  
P.N. Hrisheekesha ◽  
Vinai Kumar Singh
Keyword(s):  
Template Matching ◽  
Feature Descriptor ◽  
Natural Scene ◽  
Visual Content ◽  
Other Information ◽  
Similar Images ◽  
State Of Art ◽  
Natural Scene Images ◽  
Hybrid Methodology ◽  
Search And Retrieval

Content based image retrieval (CBIR) is one of the field for information retrieval where similar images are retrieved from database based on the various image descriptive parameters. The image descriptor vector is used by machine learning based systems to store, learn and template matching. These feature descriptor vectors locally or globally demonstrate the visual content present in an image using texture, color, shape, and other information. In past, several algorithms were proposed to fetch the variety of contents from an image based on which the image is retrieved from database. But, the literature suggests that the precision and recall for the gained results using single content descriptor is not significant. The main vision of this paper is to categorize and evaluate those algorithms, which were proposed in the interval of last 10 years. In addition, experiment is performed using a hybrid content descriptors methodology that helps to gain the significant results as compared with state-of-art algorithms. The hybrid methodology decreases the error rate and improves the precision and recall for large natural scene images dataset having more than 20 classes.

scholarly journals Efficient and Secured Swarm Pattern Multi-UAV Communication

2021 ◽  
pp. 1-1
Author(s):  
Gunasekaran Raja ◽  
Sudha Anbalagan ◽  
Aishwarya Ganapathi Subramaniyan ◽  
Madhumitha Sri Selvakumar ◽  
Ali Kashif Bashir ◽  
...  
Keyword(s):  
Swarm Pattern ◽  
Multi Uav
Sign in / Sign up

Export Citation Format

Share Document