Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Bayesian Networks (4)
- Diagnosis (3)
- Kernel Learning & Support Vector Machine (3)
- Recursive Identification & Estimation (3)
- Arithmetic Circuits (2)
-
- Batch/Fed-batch Processes (2)
- Genetic Algorithm (2)
- Holoimage (2)
- Merging (2)
- Nonlinear Process Modeling & Identification (2)
- QoS provision (2)
- Tagging Network (2)
- Web Application (2)
- Wireless Communications (2)
- 3-D range data (1)
- Adoption (1)
- Aerospace (1)
- Arithmetic circuits (1)
- Barcode (1)
- Bayesian networks (1)
- Calibration (1)
- Convergence (1)
- Convex optimization (1)
- Critical Infrastructure Assurance (1)
- Cross-layer design (1)
- Crowding (1)
- Delay-control (1)
- Deterministic crowding (1)
- Dual cameras (1)
- EMI/EMC Protection (1)
- Publication
- File Type
Articles 31 - 34 of 34
Full-Text Articles in Engineering
Synthesis Design Of Artificial Magnetic Metamaterials Using A Genetic Algorithm, Chien Hsun Chen, P. Y. Chen, H. Wang, J. H. Tsai, W. X. Ni
Synthesis Design Of Artificial Magnetic Metamaterials Using A Genetic Algorithm, Chien Hsun Chen, P. Y. Chen, H. Wang, J. H. Tsai, W. X. Ni
Chien Hsun Chen
In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.
Absolute Phase-Assisted Three-Dimensional Data Registration For A Dual-Camera Structured Light System, Song Zhang, Shing-Tung Yau
Absolute Phase-Assisted Three-Dimensional Data Registration For A Dual-Camera Structured Light System, Song Zhang, Shing-Tung Yau
Song Zhang
For a three-dimensional shape measurement system with a single projector and multiple cameras, registering patches from different cameras is crucial. Registration usually involves a complicated and time-consuming procedure. We propose a new method that can robustly match different patches via absolute phase without significantly increasing its cost. For y and z coordinates, the transformations from one camera to the other are approximated as third-order polynomial functions of the absolute phase. The x coordinates involve only translations and scalings. These functions are calibrated and only need to be determined once. Experiments demonstrated that the alignment error is within RMS 0.7 mm …
Diagnosing Faults In Electrical Power Systems Of Spacecraft And Aircraft, Ole J. Mengshoel, Adnan Darwichse, Keith Cascio, Mark Chavira, Scott Poll, Serdar Uckun
Diagnosing Faults In Electrical Power Systems Of Spacecraft And Aircraft, Ole J. Mengshoel, Adnan Darwichse, Keith Cascio, Mark Chavira, Scott Poll, Serdar Uckun
Ole J Mengshoel
Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system testbed, ADAPT, using probalistic techniques. In the context of ADAPT, we present two challenges, regarding modelling and real-time performance, often encountered in real-world diagnostic applications. To meet the modelling challenge, we discuss our novel high-level specification language which supports auto-generation of Bayesian networks. To meet the real-time challenge, we compile Bayesian networks intro arithmetic circuits. Arithmetic circuits typically have small footprints and are optimized for the real-time avionics systems found in spacecraft and aircraft. Using …
The Crowding Approach To Niching In Genetic Algorithms, Ole J. Mengshoel, David E. Goldberg
The Crowding Approach To Niching In Genetic Algorithms, Ole J. Mengshoel, David E. Goldberg
Ole J Mengshoel
A wide range of niching techniques have been investigated in evolutionary and genetic algorithms. In this article, we focus on niching using crowding techniques in the context of what we call local tournament algorithms. In addition to deterministic and probabilistic crowding, the family of local tournament algorithms includes the Metropolis algorithm, simulated annealing, restricted tournament selection, and parallel recombinative simulated annealing. We describe an algorithmic and analytical framework which is applicable to a wide range of crowding algorithms. As an example of utilizing this framework, we present and analyze the probabilistic crowding niching algorithm. Like the closely related deterministic crowding …