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Full-Text Articles in Engineering
Optimal Area Covering Using Genetic Algorithms, Paulo A. Jimenez, Bijan Shirinzadeh, Ann Nicholson, Gursel Alici
Optimal Area Covering Using Genetic Algorithms, Paulo A. Jimenez, Bijan Shirinzadeh, Ann Nicholson, Gursel Alici
Faculty of Engineering - Papers (Archive)
Path planning problems involve computing or finding a collision free path between two positions. A special kind of path planning is complete coverage path planning, where a robot sweeps all area of free space in an environment. There are different methods to cover the complete area; however, they are not designed to optimize the process. This paper proposes a novel method of complete coverage path planning based on genetic algorithms. In order to check the viability of this approach the optimal path is tested in a virtual environment. The simulation results confirm the feasibility of this method.
De-Convolution Of Time-Series Data Using Translational Symmetry And Eigenstate Analysis, Craig Moodie, A. K. Tieu, Simon Biddle
De-Convolution Of Time-Series Data Using Translational Symmetry And Eigenstate Analysis, Craig Moodie, A. K. Tieu, Simon Biddle
Faculty of Engineering - Papers (Archive)
Translational Symmetry permits a time invariant matrix (a Ring Matrix) of a time series to be formed. Traditional Eigenvalue/vector and Fast Fourier Transform techniques applied to the Ring Matrix provide views of all the vibration modes, their magnitude and frequency content. The Ring Matrix has many interesting features associated with it that enable it to be used as an additional tool in defining the ‘condition state’ of a bearing. This paper introduces the Ring Matrix as a significant step in the ‘Blind’ deconvolution process. Application of the de-convolution method to vibration data obtained from both a large and small slow …
Distributed Mimo Systems Using Asterism Decoding, Phillip Conder, Jason Gao, Mehran Abolhasan
Distributed Mimo Systems Using Asterism Decoding, Phillip Conder, Jason Gao, Mehran Abolhasan
Faculty of Engineering - Papers (Archive)
Multiple Input Multiple Output (MIMO) systems have received enormous attention by researchers as they can provide a roughly linear increase in capacity of wireless communications systems by using multiple transmit and receive antennas. Even with the larger raw data rates provided by MIMO, the throughput of these systems can be limited by the number of users (or networks) sharing the medium. This paper shows how multiple users (or networks) transmitting simultaneously can be represented as a MIMO system with a larger number of transmit than receive antennas. After reviewing existing decoders for such a MIMO system, this paper then proposes …