Advances in communications technologies entail demands for higher data rates. One of the popular solutions to fulfill this requirement was to allocate additional bandwidth, which unfortunately is not anymore viable due to spectrum scarcity. In addition, spectrum measurements around the globe have revealed the fact that the available spectrum is under-utilized. One of the most remarkable solutions to cope with the under-utilization of radio-frequency (RF) spectrum is the concept of cognitive radio (CR) with spectrum sharing features, also referred to as spectrum sharing systems. In CR systems, the main implementation issue is spectrum sensing because of the uncertainties in propagation channel, hidden primary user (PU) problem, sensing duration and security issues. Hence, the accuracy and reliability of the spectrum sensing information may inherently be suspicious and questionable. Due to the imprecise spectrum sensing information, this dissertation investigates the performance of an orthogonal frequency-division multiplexing (OFDM)-based CR spectrum sharing communication system that assumes random allocation and absence of the PU's channel occupation information, i.e., no spectrum sensing is employed to acquire information about the availability of unused subcarriers or the PU's activity. In addition, no cooperation occurs between the transmitters of the PUs and secondary users (SUs). The main benefit of random subcarrier utilization is to uniformly distribute the amount of SUs' interference among the PUs' subcarriers, which can be termed as interference spreading. The analysis and performance of such a communication set-up provides useful insights and can be utilized as a valid benchmark for performance comparison studies in CR spectrum sharing systems that assume the availability of spectrum sensing information. In the first part this dissertation, due to the lack of information about PUs' activities, the SU randomly allocates the subcarriers of the primary network and collide with the PUs' subcarriers with a certain probability. The average capacity of SU with subcarrier collisions is employed as performance measure to investigate the proposed random allocation scheme for both general and Rayleigh channel fading models. In the presence of multiple SUs, the multiuser diversity gain of SUs is also investigated. To avoid the subcarrier collisions at the SUs due to the random allocation scheme and to obtain the maximum sum rate for SUs based on the available subcarriers, an efficient centralized sequential algorithm based on the opportunistic scheduling and random allocation (utilization) methods is proposed to ensure the orthogonality of assigned subcarriers. In the second part of this dissertation, in addition to the collisions between the SUs and PUs, the inter-cell collisions among the subcarriers of SUs (belonging to different cells) are assumed to occur due to the inherent nature of random access scheme. A stochastic analysis of the number of subcarrier collisions between the SUs' and PU's subcarriers assuming fixed and random number of subcarriers requirements for each user is conducted. The performance of the random scheme in terms of capacity and capacity (rate) loss caused by the subcarrier collisions is investigated by assuming an interference power constraint at PU to protect its operation. Lastly, a theoretical channel fading model, termed hyper fading channel model, that is suitable to the dynamic nature of CR channel is proposed and analyzed. To perform a general analysis, the achievable average capacity of CR spectrum sharing systems over the proposed dynamic fading environments is studied.

In order to improve the drawback of the high peak-to-average power ratio (PAPR) on the multi-carrier systems, in this paper we derive a statistical characterization approach of the time domain signal power variance metric by means of every user¡¦s spreading code combination and subcarrier scrambling. We obviously reduce the PAPR on the multi-carrier code division multiple access (MC-CDMA) systems by resorting the combination of spreading codes and scrambling the polarities of subcarriers. Due to the large calculative number of exhaustive search, we use a low complexity Replacement Search Method (RSM) to reduce the calculation times of searching, and obtain a good result. Moreover, we can get a better PAPR reduction performance by increasing the number of iteration.

Abstract Objective: The aim of the present study was to investigate mechanisms of real-time language production of adults who stutter. Method: Data were analyzed for 19 typically fluent young adults (TFA) and 19 young adults who stutter (AWS). Participants performed a masked picture priming task where priming stimuli consisted of two conditions 1) Identity- a masked printed prime word identical to the picture target label, and 2) Unrelated- a masked printed prime word unrelated to the picture target label. Brain event-related potentials (ERPs), time-locked to pictures eliciting spontaneous naming, were recorded, as well as naming accuracy and reaction times. Results: Masked priming effects on ERP components were compared between groups. Priming modulated N400 amplitude in TFA while, at the same latency, priming modulated P300 amplitude in AWS. N400 is attributed to processing of meaningful stimuli, and P300 is a measure of effortful control. An even later priming effect generalized to both groups. Conclusion: Results suggest that post-lexical processing was similar in AWS and TFA, while lexical-semantic processing operated differently. Whereas TFA evidenced automaticity in activation and selection of target picture labels, AWS evidenced enhanced attentional control during lexical selection. We propose that AWS recruited a compensatory attentional mechanism to stabilize activation of target words on the path to naming. These conclusions suggest that clinically, AWS may benefit from vocabulary enrichment and attentional control treatment.

In the period between September 2010 and December 2011, Christchurch was shaken by a series of strong earthquakes including the MW7.1 4 September 2010, Mw 6.2 22 February 2011, MW6.2 13 June 2011 and MW6.0 23 December 2011 earthquakes. These earthquakes produced very strong ground motions throughout the city and surrounding areas that resulted in soil liquefaction and lateral spreading causing substantial damage to buildings, infrastructure and the community. The stopbank network along the Kaiapoi and Avon River suffered extensive damage with repairs projected to take several years to complete. This presented an opportunity to undertake a case-study on a regional scale of the effects of liquefaction on a stopbank system. Ultimately, this information can be used to determine simple performance-based concepts that can be applied in practice to improve the resilience of river protection works. The research presented in this thesis draws from data collected following the 4th September 2010 and 22nd February 2011 earthquakes. The stopbank damage is categorised into seven key deformation modes that were interpreted from aerial photographs, consultant reports, damage photographs and site visits. Each deformation mode provides an assessment of the observed mechanism of failure behind liquefaction-induced stopbank damage and the factors that influence a particular style of deformation. The deformation modes have been used to create a severity classification for the whole stopbank system, being ‘no or low damage’ and ‘major or severe damage’, in order to discriminate the indicators and factors that contribute to ‘major to severe damage’ from the factors that contribute to all levels of damage a number of calculated, land damage, stopbank damage and geomorphological parameters were analysed and compared at 178 locations along the Kaiapoi and Avon River stopbank systems. A critical liquefiable layer was present at every location with relatively consistent geotechnical parameters (cone resistance (qc), soil behaviour type (Ic) and Factor of Safety (FoS)) across the study site. In 95% of the cases the critical layer occurred within two times the Height of the Free Face (HFF,). A statistical analysis of the geotechnical factors relating to the critical layer was undertaken in order to find correlations between specific deformation modes and geotechnical factors. It was found that each individual deformation mode involves a complex interplay of factors that are difficult to represent through correlative analysis. There was, however, sufficient data to derive the key factors that have affected the severity of deformation. It was concluded that stopbank damage is directly related to the presence of liquefaction in the ground materials beneath the stopbanks, but is not critical in determining the type or severity of damage, instead it is merely the triggering mechanism. Once liquefaction is triggered it is the gravity-induced deformation that causes the damage rather than the shaking duration. Lateral spreading and specifically the depositional setting was found to be the key aspect in determining the severity and type of deformation along the stopbank system. The presence or absence of abandoned or old river channels and point bar deposits was found to significantly influence the severity and type of deformation. A review of digital elevation models and old maps along the Kaiapoi River found that all of the ‘major to severe’ damage observed occurred within or directly adjacent to an abandoned river channel. Whilst a review of the geomorphology along the Avon River showed that every location within a point bar deposit suffered some form of damage, due to the depositional environment creating a deposit highly susceptible to liquefaction.

This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in the Greater Toronto Area. A discrete-continuous specification, with a multinomial logit model for mode choice and an accelerated time hazard model for trip timing, is used to allow for unrestricted correlation between these two fundamental decisions. Statistically significant correlations are found between mode choice and trip timing for work journeys with expected differences between modes. Furthermore, the joint models have a wide range of policy sensitive statistically significant parameters of intuitive sign and magnitude, revealing expected differences between workers of different occupation groups. Furthermore, the estimated models have a high degree of fit to observed cumulative departure and arrival time distribution functions and to observed mode choices. Finally, sensitivity tests have demonstrated that the model is capable of capturing peak spreading in response to increasing auto congestion.

This thesis jointly models the 24 hour work trip timing and mode choice decisions of commuters in the Greater Toronto Area. A discrete-continuous specification, with a multinomial logit model for mode choice and an accelerated time hazard model for trip timing, is used to allow for unrestricted correlation between these two fundamental decisions. Statistically significant correlations are found between mode choice and trip timing for work journeys with expected differences between modes. Furthermore, the joint models have a wide range of policy sensitive statistically significant parameters of intuitive sign and magnitude, revealing expected differences between workers of different occupation groups. Furthermore, the estimated models have a high degree of fit to observed cumulative departure and arrival time distribution functions and to observed mode choices. Finally, sensitivity tests have demonstrated that the model is capable of capturing peak spreading in response to increasing auto congestion.

An efficient simulation technique for calculating the current distribution in a Vertical Cavity Surface Emitting Laser (VCSEL) is proposed and implemented. The technique consists of a hybrid 1D/3D approach to the problem. The 3D aspect of simulation is essential for devices like a photonic crystal VCSEL where the existing 2D simulation techniques are inadequate. The modular approach of the technique is advantageous, as it provides exibility in dealing with device simulations of varying complexity. It also provides a relatively short simulation time, beneficial for exploring a large design parameter space. The box integration technique is used for discretizing the equations and sparse matrix methods are used in solving the matrices. Simulation results and comparisons are provided for various aspects and modules of the simulator. The results for a few sample simulations indicate that the analysis has reasonable agreement with experimental results. The simulation error can be reduced using more accurate models for the active region of the laser.

The interaction of materials with biological systems is of critical importance to a vast number of applications from medical implants, tissue engineering scaffolds, blood-contacting devices, cell-culture products, as well as many other products in industries as diverse as agriculture. This thesis describes a method for the modification of biomaterial surfaces and the generation of tissue engineering scaffolds that utilises the self assembly of poly (styrene)-block-poly (ethylene oxide) (PS-PEO) block copolymers. Block copolymers consist of alternating segments of two or more chemically distinct polymers. The salient feature of these materials is their ability to self organise into a wide range of micro-phase separated structures generating patterned surfaces that have domain sizes in the order of 10-100nm. Further, it is also possible to specifically functionalise only one segment of the block copolymer, providing a means to precisely locate specific biological signals within the 10-100nm domains of a nano-patterned surface, formed via the programmed micro-phase separation of the block copolymer system. The density and spatial location of signalling molecules can be controlled by altering several variables, such as block length, block asymmetry, as well as processing parameters, providing the potential to authentically emulate the cellular micro to nano-environment and thus greatly improving on existing biomaterial and tissue engineering technologies. This thesis achieved several aims as outlined below; Developed methods to control the self-assembly of PS-PEO block copolymers and generate nano-patterned surfaces and scaffolds with utility for biomaterials applications. PS-PEO diblock copolymers were blended with polystyrene (PS) homopolymer and spin cast, resulting in the rapid self-assembly of vertically oriented PEO cylinders in a matrix of PS. Due to the kinetically constrained phase-separation of the system, increasing addition of homopolymer is shown to reduce the diameter of the PEO domains. This outcome provides a simple method that requires the adjustment of a single variable to tune the size of vertically oriented PEO domains between 10-100nm. Polymeric scaffolds for tissue engineering were manufactured via a method that combines macro-scale temperature induced phase separation with micro-phase separation of block copolymers. The phase behaviour of these polymer-solvent systems is described, and potential mechanisms leading to this spectacular structure formation are presented. The result is highly porous scaffolds with surfaces comprised of nano-scale self-assembled block copolymer domains, representing a significant advance in currently available technologies. Characterised the properties of these unique nano-structured materials as well as their interaction with proteinaceous fluids and cells. Nano-patterned PS-PEO self-assembled surfaces showed a significant reduction in protein adsorption compared to control PS surfaces. The adhesion of NIH 3T3 fibroblast cells was shown to be significantly affected by the surface coverage of PEO nano-domains formed by copolymer self-assembly. These nano-islands, when presented at high number density (almost 1000 domains per square micron), were shown to completely prevent cellular attachment, even though small amounts of protein were able to bind to the surface. In order to understand the mechanism by which these surfaces resisted protein and cellular adsorption we utilised neutron reflection to study their solvation and swelling properties. The results indicate that the PEO domains are highly solvated in water; however, the PEO chains do not extend into the solvent but remain in their isolated domains. The data supports growing evidence that the key mechanism by which PEO prevents protein adsorption is the blocking of protein adsorption sites. Control the nano-scale presentation of cellular adhesion and other biological molecules via the self-assembly of functionalised PS-PEO block copolymers Precise control over the nano-scale presentation of adhesion molecules and other biological factors represents a new frontier for biomaterials science. Recently, the control of integrin spacing and cellular shape has been shown to affect fundamental biological processes, including differentiation and apoptosis. We present the self-assembly of maleimide functionalised PS-PEO copolymers as a simple, yet highly precise method for controlling the position of cellular adhesion molecules. By controlling the phase separation of the functional PS-PEO block copolymer we alter the nano-scale (on PEO islands of 8-14 nm in size) presentation of the adhesion peptide, GRGDS, decreasing lateral spacing from 62 nm to 44 nm and increasing the number density from ~ 450 to ~ 900 islands per um2. The results indicate that the spreading of NIH-3T3 fibroblasts increases as the spacing between islands of RGD binding peptides decreases. Further, the same functional PS-PEO surfaces were utilised to immobilise poly-histidine tagged proteins and ECM fragments. The technologies developed in this thesis aim to improve on several weaknesses of existing biomaterials, in particular, directing cellular behaviour on surfaces, and within tissue engineering scaffolds, but also, on the prevention of fouling of biomaterials via non-specific protein adsorption. The application of block copolymer self-assembly for biomaterial and tissue engineering systems described in this thesis has great potential as a platform technology for the investigation of fundamental cell-surface and protein-surface interactions as well as for use in existing and emerging biomedical applications.

The interaction of materials with biological systems is of critical importance to a vast number of applications from medical implants, tissue engineering scaffolds, blood-contacting devices, cell-culture products, as well as many other products in industries as diverse as agriculture. This thesis describes a method for the modification of biomaterial surfaces and the generation of tissue engineering scaffolds that utilises the self assembly of poly (styrene)-block-poly (ethylene oxide) (PS-PEO) block copolymers. Block copolymers consist of alternating segments of two or more chemically distinct polymers. The salient feature of these materials is their ability to self organise into a wide range of micro-phase separated structures generating patterned surfaces that have domain sizes in the order of 10-100nm. Further, it is also possible to specifically functionalise only one segment of the block copolymer, providing a means to precisely locate specific biological signals within the 10-100nm domains of a nano-patterned surface, formed via the programmed micro-phase separation of the block copolymer system. The density and spatial location of signalling molecules can be controlled by altering several variables, such as block length, block asymmetry, as well as processing parameters, providing the potential to authentically emulate the cellular micro to nano-environment and thus greatly improving on existing biomaterial and tissue engineering technologies. This thesis achieved several aims as outlined below; Developed methods to control the self-assembly of PS-PEO block copolymers and generate nano-patterned surfaces and scaffolds with utility for biomaterials applications. PS-PEO diblock copolymers were blended with polystyrene (PS) homopolymer and spin cast, resulting in the rapid self-assembly of vertically oriented PEO cylinders in a matrix of PS. Due to the kinetically constrained phase-separation of the system, increasing addition of homopolymer is shown to reduce the diameter of the PEO domains. This outcome provides a simple method that requires the adjustment of a single variable to tune the size of vertically oriented PEO domains between 10-100nm. Polymeric scaffolds for tissue engineering were manufactured via a method that combines macro-scale temperature induced phase separation with micro-phase separation of block copolymers. The phase behaviour of these polymer-solvent systems is described, and potential mechanisms leading to this spectacular structure formation are presented. The result is highly porous scaffolds with surfaces comprised of nano-scale self-assembled block copolymer domains, representing a significant advance in currently available technologies. Characterised the properties of these unique nano-structured materials as well as their interaction with proteinaceous fluids and cells. Nano-patterned PS-PEO self-assembled surfaces showed a significant reduction in protein adsorption compared to control PS surfaces. The adhesion of NIH 3T3 fibroblast cells was shown to be significantly affected by the surface coverage of PEO nano-domains formed by copolymer self-assembly. These nano-islands, when presented at high number density (almost 1000 domains per square micron), were shown to completely prevent cellular attachment, even though small amounts of protein were able to bind to the surface. In order to understand the mechanism by which these surfaces resisted protein and cellular adsorption we utilised neutron reflection to study their solvation and swelling properties. The results indicate that the PEO domains are highly solvated in water; however, the PEO chains do not extend into the solvent but remain in their isolated domains. The data supports growing evidence that the key mechanism by which PEO prevents protein adsorption is the blocking of protein adsorption sites. Control the nano-scale presentation of cellular adhesion and other biological molecules via the self-assembly of functionalised PS-PEO block copolymers Precise control over the nano-scale presentation of adhesion molecules and other biological factors represents a new frontier for biomaterials science. Recently, the control of integrin spacing and cellular shape has been shown to affect fundamental biological processes, including differentiation and apoptosis. We present the self-assembly of maleimide functionalised PS-PEO copolymers as a simple, yet highly precise method for controlling the position of cellular adhesion molecules. By controlling the phase separation of the functional PS-PEO block copolymer we alter the nano-scale (on PEO islands of 8-14 nm in size) presentation of the adhesion peptide, GRGDS, decreasing lateral spacing from 62 nm to 44 nm and increasing the number density from ~ 450 to ~ 900 islands per um2. The results indicate that the spreading of NIH-3T3 fibroblasts increases as the spacing between islands of RGD binding peptides decreases. Further, the same functional PS-PEO surfaces were utilised to immobilise poly-histidine tagged proteins and ECM fragments. The technologies developed in this thesis aim to improve on several weaknesses of existing biomaterials, in particular, directing cellular behaviour on surfaces, and within tissue engineering scaffolds, but also, on the prevention of fouling of biomaterials via non-specific protein adsorption. The application of block copolymer self-assembly for biomaterial and tissue engineering systems described in this thesis has great potential as a platform technology for the investigation of fundamental cell-surface and protein-surface interactions as well as for use in existing and emerging biomedical applications.

The interaction of materials with biological systems is of critical importance to a vast number of applications from medical implants, tissue engineering scaffolds, blood-contacting devices, cell-culture products, as well as many other products in industries as diverse as agriculture. This thesis describes a method for the modification of biomaterial surfaces and the generation of tissue engineering scaffolds that utilises the self assembly of poly (styrene)-block-poly (ethylene oxide) (PS-PEO) block copolymers. Block copolymers consist of alternating segments of two or more chemically distinct polymers. The salient feature of these materials is their ability to self organise into a wide range of micro-phase separated structures generating patterned surfaces that have domain sizes in the order of 10-100nm. Further, it is also possible to specifically functionalise only one segment of the block copolymer, providing a means to precisely locate specific biological signals within the 10-100nm domains of a nano-patterned surface, formed via the programmed micro-phase separation of the block copolymer system. The density and spatial location of signalling molecules can be controlled by altering several variables, such as block length, block asymmetry, as well as processing parameters, providing the potential to authentically emulate the cellular micro to nano-environment and thus greatly improving on existing biomaterial and tissue engineering technologies. This thesis achieved several aims as outlined below; Developed methods to control the self-assembly of PS-PEO block copolymers and generate nano-patterned surfaces and scaffolds with utility for biomaterials applications. PS-PEO diblock copolymers were blended with polystyrene (PS) homopolymer and spin cast, resulting in the rapid self-assembly of vertically oriented PEO cylinders in a matrix of PS. Due to the kinetically constrained phase-separation of the system, increasing addition of homopolymer is shown to reduce the diameter of the PEO domains. This outcome provides a simple method that requires the adjustment of a single variable to tune the size of vertically oriented PEO domains between 10-100nm. Polymeric scaffolds for tissue engineering were manufactured via a method that combines macro-scale temperature induced phase separation with micro-phase separation of block copolymers. The phase behaviour of these polymer-solvent systems is described, and potential mechanisms leading to this spectacular structure formation are presented. The result is highly porous scaffolds with surfaces comprised of nano-scale self-assembled block copolymer domains, representing a significant advance in currently available technologies. Characterised the properties of these unique nano-structured materials as well as their interaction with proteinaceous fluids and cells. Nano-patterned PS-PEO self-assembled surfaces showed a significant reduction in protein adsorption compared to control PS surfaces. The adhesion of NIH 3T3 fibroblast cells was shown to be significantly affected by the surface coverage of PEO nano-domains formed by copolymer self-assembly. These nano-islands, when presented at high number density (almost 1000 domains per square micron), were shown to completely prevent cellular attachment, even though small amounts of protein were able to bind to the surface. In order to understand the mechanism by which these surfaces resisted protein and cellular adsorption we utilised neutron reflection to study their solvation and swelling properties. The results indicate that the PEO domains are highly solvated in water; however, the PEO chains do not extend into the solvent but remain in their isolated domains. The data supports growing evidence that the key mechanism by which PEO prevents protein adsorption is the blocking of protein adsorption sites. Control the nano-scale presentation of cellular adhesion and other biological molecules via the self-assembly of functionalised PS-PEO block copolymers Precise control over the nano-scale presentation of adhesion molecules and other biological factors represents a new frontier for biomaterials science. Recently, the control of integrin spacing and cellular shape has been shown to affect fundamental biological processes, including differentiation and apoptosis. We present the self-assembly of maleimide functionalised PS-PEO copolymers as a simple, yet highly precise method for controlling the position of cellular adhesion molecules. By controlling the phase separation of the functional PS-PEO block copolymer we alter the nano-scale (on PEO islands of 8-14 nm in size) presentation of the adhesion peptide, GRGDS, decreasing lateral spacing from 62 nm to 44 nm and increasing the number density from ~ 450 to ~ 900 islands per um2. The results indicate that the spreading of NIH-3T3 fibroblasts increases as the spacing between islands of RGD binding peptides decreases. Further, the same functional PS-PEO surfaces were utilised to immobilise poly-histidine tagged proteins and ECM fragments. The technologies developed in this thesis aim to improve on several weaknesses of existing biomaterials, in particular, directing cellular behaviour on surfaces, and within tissue engineering scaffolds, but also, on the prevention of fouling of biomaterials via non-specific protein adsorption. The application of block copolymer self-assembly for biomaterial and tissue engineering systems described in this thesis has great potential as a platform technology for the investigation of fundamental cell-surface and protein-surface interactions as well as for use in existing and emerging biomedical applications.