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Arbitrary Ratio Sample Rate Conversion Using B-Spline Interpolation For Software Defined Radio, Xiaojing Huang
Arbitrary Ratio Sample Rate Conversion Using B-Spline Interpolation For Software Defined Radio, Xiaojing Huang
Faculty of Informatics - Papers (Archive)
Arbitrary ratio sampling rate conversion (SRC) structure using B-spline interpolation is proposed for software defined radio (SDR) in this paper. By combining SRC with SDR’s transmitter/receiver filter, the constraint on SRC reconstruction filter can be relaxed, and an overall computational reduction can be achieved. The mixed-width B-spline is introduced so that both antiimaging and anti-aliasing requirements for SRC are satisfied. The passband droop introduced by the B-spline interpolation is compensated by a linear phase digital filter incorporated in the SRC structure so that the overall frequency response approaches the desired frequency response of the SDR’s transmitter/receiver filter. To make the …
Secure Data Transmission Using Quibits, Iman Marvian, Saied Hosseini-Khayat
Secure Data Transmission Using Quibits, Iman Marvian, Saied Hosseini-Khayat
Faculty of Informatics - Papers (Archive)
A quantum protocol for secure transmission of data using qubits is presented. This protocol sends one qubit in a round-trip to transmit one bit of data. The protocol offers an improvement over the BB84 QKD protocol. BB84, in conjunction with one-time pad encryption, has been shown to be unconditionally secure. However its security relies on the assumption that the qubit source device does not emit multiple replicas of the same qubit for each transmitted bit. If this happens a multi-qubit emission attack can be launched. In addition, BB84 cannot be used to send predetermined bit strings as it generates a …
A System For The 3d Reconstruction Of The Human Face Using The Structured Light Approach, Dean Mcguire, Prashan Premaratne
A System For The 3d Reconstruction Of The Human Face Using The Structured Light Approach, Dean Mcguire, Prashan Premaratne
Faculty of Informatics - Papers (Archive)
This paper will describe a computer vision system under development with the aim of use in robust facial recognition applications. The system employs the structured light approach to solve the correspondence problem. The system has been designed with ease of use in mind with calibration procedures designed to be simple enough to be carried out without the use of precision measuring equipment, but robust enough to provide good quality 3D reconstructions. The hardware in use is of consumer grade and is being used in an unmodified form. Early reconstructions of faces based on the projection of a striped pattern have …
Using Scenario Planning In The Evaluation Of Information Security Applications, Laura Perusco
Using Scenario Planning In The Evaluation Of Information Security Applications, Laura Perusco
Faculty of Informatics - Papers (Archive)
This paper provides a broad overview of the scenario approach as it relates to the evaluation of location based services (LBS) technologies and their appl ication. A scenario is a plausible vision of the future, based around a particular technology or application and developed via a scenario planning methodology. The main worth of the scenario planning approach is that it allows an application to be evaluated in terms of potential social impacts as well as technical merit and commercial viability. A sample scenario is presented within the paper to illustrate how the scenario planning methodology can be used. This scenario …
Fitness Evaluation For Structural Optimisation Genetic Algorithms Using Neural Networks, Koren Ward, Timothy J. Mccarthy
Fitness Evaluation For Structural Optimisation Genetic Algorithms Using Neural Networks, Koren Ward, Timothy J. Mccarthy
Faculty of Informatics - Papers (Archive)
This paper relates to the optimisation of structural design using Genetic Algorithms (GAs) and presents an improved method for determining the fitness of genetic codes that represent possible design solutions by using a neural network to generalize fitness. Two problems that often impede design optimization using genetic algorithms are expensive fitness evaluation and high epistasis. In this paper we show that by using a neural network as a fitness approximator, optimal solutions to certain design problems can be achieved in significantly less generations and with considerably less fitness evaluations.
Analyzing Harmonic Monitoring Data Using Data Mining, Ali Asheibi, David A. Stirling, Danny Sutanto
Analyzing Harmonic Monitoring Data Using Data Mining, Ali Asheibi, David A. Stirling, Danny Sutanto
Faculty of Informatics - Papers (Archive)
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on a typical electrical MV distribution system in Australia. The monitoring program involved measurements of the three-phase harmonic currents and voltages from the residential, commercial and industrial load sectors. Data over a three year period has been downloaded and available for analysis. The large amount of acquired data makes it difficult to identify operational events that impact significantly on the harmonics generated on the system. More sophisticated analysis methods are required to automatically determine which part of …