Dissertations / Theses on the topic '080399 Computer Software not elsewhere classified'

Soft materials have attracted considerable interest in recent years for predicting the characteristics of phase separation and self-assembly in nanoscale structures. A popular method for demonstrating and simulating the dynamic behaviour of particles (e.g. particle tracking) and to consider effects of simulation parameters is cell dynamic simulation (CDS). This is a cellular computerisation technique that can be used to investigate different aspects of morphological topographies of soft material systems. The acquisition of quantitative data from particles is a critical requirement in order to obtain a better understanding and of characterising their dynamic behaviour. To achieve this objective particle tracking methods considering quantitative data and focusing on different properties and components of particles is essential. Despite the availability of various types of particle tracking used in experimental work, there is no method available to consider uniform computational data. In order to achieve accurate and efficient computational results for cell dynamic simulation method and particle tracking, two factors are essential: computing/calculating time-scale and simulation system size. Consequently, finding available computing algorithms and resources such as sequential algorithm for implementing a complex technique and achieving precise results is critical and rather expensive. Therefore, it is highly desirable to consider a parallel algorithm and programming model to solve time-consuming and massive computational processing issues. Hence, the gaps between the experimental and computational works and solving time consuming for expensive computational calculations need to be filled in order to investigate a uniform computational technique for particle tracking and significant enhancements in speed and execution times. The work presented in this thesis details a new particle tracking method for integrating diblock copolymers in the form of spheres with a shear flow and a novel designed GPU-based parallel acceleration approach to cell dynamic simulation (CDS). In addition, the evaluation of parallel models and architectures (CPUs and GPUs) utilising the mixtures of application program interface, OpenMP and programming model, CUDA were developed. Finally, this study presents the performance enhancements achieved with GPU-CUDA of approximately ~2 times faster than multi-threading implementation and 13~14 times quicker than optimised sequential processing for the CDS computations/workloads respectively.

A Modular Power Management System (MPMS) is an energy management system intended for highly modular applications, able to adapt to changing hardware intelligently. There is a dearth in the literature on Integrated Modular Avionics (IMA), which has previously not addressed the implications for software operating within this architecture. Namely, the adaptation of control laws to changing hardware. This work proposes some approaches to address this issue. Control laws may require adaptation to overcome hardware degradation, or system upgrades. There is also a growing interest in the ability to change hardware configurations of UASs (Unmanned Aerial Systems) between missions, to better fit the characteristics of each one. Hardware changes in the aviation industry come with an additional caveat: in order for a software system to be used in aviation it must be certified as part of a platform. This certification process has no clear guidelines for adaptive systems. Adapting to a changing platform, as well as addressing the necessary certification effort, motivated the development of the MPMS. The aim of the work is twofold. Firstly, to modify existing control strategies for new hardware. This is achieved with generalisation and transfer earning. Secondly, to reduce the workload involved with maintaining a safety argument for an adaptive controller. Three areas of work are used to demonstrate the satisfaction of this aim. Explanation-Based Learning (EBL) is proposed for the derivation of new control laws. The EBL domain theory embodies general control strategies, which are specialised to form fuzzy rules. A method for translating explanation structures into fuzzy rules is presented. The generation of specific rules, from a general control strategy, is one way to adapt to controlling a modular platform. A fuzzy controller executes the rules derived by EBL. This maintains fast rule execution as well as the separation of strategy and application. The ability of EBL to generate rules which are useful when executed by a fuzzy controller is demonstrated by an experiment. A domain theory is given to control throttle output, which is used to generate fuzzy rules. These rules have a positive impact on energy consumption in simulated flight. EBL is proposed, for rule derivation, because it focuses on generalisation. Generalisations can apply knowledge from one situation, or hardware, to another. This can be preferable to re-derivation of similar control laws. Furthermore, EBL can be augmented to include analogical reasoning when reaching an impasse. An algorithm which integrates analogy into EBL has been developed as part of this work. The inclusion of analogical reasoning facilitates transfer learning, which furthers the flexibility of the MPMS in adapting to new hardware. The adaptive capability of the MPMS is demonstrated by application to multiple simulated platforms. EBL produces explanation structures. Augmenting these explanation structures with a safetyspecific domain theory can produce skeletal safety cases. A technique to achieve this has been developed. Example structures are generated for previously derived fuzzy rules. Generating safety cases from explanation structures can form the basis for an adaptive safety argument.

When an astronomical observer discovers a transient event in the sky, how can the information be immediately shared and delivered to others? Not too long time ago, people shared the information about what they discovered in the sky by books, telegraphs, and telephones. The new generation of transferring the event data is the way by the Internet. The information of astronomical events is able to be packed and put online as an Internet feed. For receiving these packed data, an Internet feed listener software would be required in a terminal computer. In other applications, the listener would connect to an intelligent robotic telescope network and automatically drive a telescope to capture the instant Astrophysical phenomena. However, because the technologies of transferring the astronomical event data are in the initial steps, the only resource available is the Perl-based Internet feed listener developed by the team of eSTAR. In this research, a Java-based Internet feed listener was developed. The application supports more features than the Perl-based application. After applying the rich Java benefits, the application is able to receive, parse and manage the Internet feed data in an efficient way with the friendly user interface. Keywords: Java, socket programming, VOEvent, real-time astronomy

Of all of the desktop software available, that for the implementation of a database is some of the most complex. With the increasing number of computer users having access to this sophisticated software, but with no obvious way to learn the rudiments of data modelling for the implementation of a database, there is a need for a simple, convenient method to improve their understanding. The research described in this thesis represents the first steps in the development of a tool to accomplish this improvement. In a preliminary study using empirical research a conceptual model was used to improve novice end users’ understanding of the relational concepts of data organisation and the use of a database software package. The results showed that no conclusions could be drawn about either the artefact used or the method of evaluation. Following the lead of researchers in the fields of both education and information systems, a design research process was developed, consisting of the construction and evaluation of a training artefact. A combination of design research and a design experiment was used in the main study described in this thesis. New to research in information systems, design research is a methodology or set of analytical techniques and perspectives, and this was used to develop a process (development of an artefact) and a product (the artefact itself). The artefact, once developed, needed to be evaluated for its effectiveness, and this was done using a design experiment. The experiment involved exposing the artefact to a small group of end users in a realistic setting and defining a process for the evaluation of the artefact. The artefact was the tool that would facilitate the improvement of the understanding of data modelling, the vital precursor to the development of a database. The research was conducted among a group of novice end users who were exposed to the artefact, facilitated by an independent person. In order to assess whether there was any improvement in the novices’ understanding of relational data modelling and database concepts, they then completed a post-test. Results confirmed that the artefact, trialled through one iteration, was successful in improving the understanding of these novice end users in the area of data modelling. The combination of design research and design experiment as described above gave rise to a new methodology, called experimental design research at this early juncture. The successful outcome of this research will lead to further iterations of the design research methodology, leading in turn to the further development of the artefact which will be both useful and accessible to novice users of personal computers and database software. This research has made the following original contributions. Firstly, the use of the design research methodology for the development of the artefact, which proved successful in improving novice users’ understanding of relational data structures. Secondly, the novel use of a design experiment in an information systems project, which was used to evaluate the success of the artefact. And finally, the combination of the developed artefact followed by its successful evaluation using a design experiment resulted in the hybrid experimental design research methodology. The success of the implementation of the experimental design research methodology in this information systems project shows much promise for its successful application to similar projects.

Summary This thesis explores how massively multiplayer online games (MMOGs), as an exemplary new media form, disrupt practices associated with more conventional media. These intensely social games exploit the interactivity and networks afforded by new media technologies in ways that generate new challenges for the organisation, control and regulation of media. The involvement of players in constituting these games – through their production of game-play, derivative works and strong social networks that drive the profitability of the games – disrupts some of the key foundations that underlie other publication media. MMOGs represent a new and hybrid form of media – part publication and part service. As such they sit within a number of sometimes contradictory organising and regulatory regimes. This thesis examines the negotiations and struggles for control between players, developers and publishers as issues of ownership, governance and access arise out of the new configurations. Using an ethnographic approach to gather information and insights into the practices of players, developers and publishers, this project identifies the characteristics of the distributed production network in this experiential medium. It explores structural components of successful interactive applications and analyses how the advent of player agency and the shift in authorship has meant a shift in control of the text and the relations that surround it. The integration of social networks into the textual environment, and into the business model of the media publishers has meant commerce has become entwined with affect in a new way in this medium. Publishers have moved into the role of both property managers, of the intellectual property associated with the game content, and community managers. Intellectual property management is usually associated with the reproduction and distribution of finished media products, and this sits uneasily with the performative and mutable form of this medium. Service provision consists of maintaining the game world environment, community management, providing access for players to other players and to the content generated both by the developers and the other players. Content in an MMOG is identified in this project as both the ‘tangible’ assets of code and artwork, rules and text, and the ‘intangible’ or immaterial assets of affective networks. Players are no longer just consumers of media, or even just active interpreters of media. They are co-producing the media as it is developed. This thesis frames that productiveness as unpaid labour, in an attempt to denaturalise the dominant discourse which casts players as consumers. The regulation of this medium is contentious. Conventional forms of media regulation – such as copyright, or content regulation regimes are inadequate for regulating the hybrid service/publication medium. This thesis explores how the use of contracts as the mechanism which constitutes the formal relations between players, publishers and developers creates challenges to some of the regimes of juridical and political rights held by citizens more generally. This thesis examines the productive practices of players and how the discourses of intellectual property and the discourses of the consumer are mobilised to erase the significance of those productive contributions. It also shows, using a Foucauldian analysis of the power negotiations, that players employ many counter-strategies to circumvent the more formal legal structures of the publishers. The dialogic relationship between players, developers and publishers is shown to mobilise various discursive constructions of the role of each. The outcome of these ongoing negotiations may well shape future interactive applications and the extent to which their innovative capacities will be available for all stakeholders to develop.

The objective of research is to develop a computer simulation modeltoprovide a means to effectively and efficiently reduce medication errors associated with points of distribution sitesby identifying and manipulating screeners with a high probability of generating errors.Points of distribution sites are used to rapidly distribute chemoprophylaxis to a large population in response to a pandemic event or a bioterrorism attack. Because of the nature of therapid response, points of distribution sites require the use of peer-trained helpers who volunteer their services.The implications are that peer-trained helperscould have a variety of experience or education levels. Thesefactors increase the risk of medical errors. Reducing medical errors is accomplished through changing the means in which healthcare providers are trained and focusing on a team approach to healthcare delivery. Computer simulations have been used in the past to identify sources of inefficiency and potential of error. Data for the model werecollected over the course of two semesters. Of the 349 data points collected from the first semester, only 137 data points were usable for the purposes of modelbuilding. When the experiment was conducted again for the second semester, similar results werefound. The control simulation was run 20 times with each screener generating errors with a probability of 0.101 following a Bernoulli distribution. The variable simulation was run 30 times with each screener generating the same probability of errors; however, the researcher identified the screeners generating the errors and immediately stopped them from processing additional agents once they reached five errors. An ANOVA was conducted on the percent errors generated from each simulation run. The results of the ANOVA showedsignificant difference between individuals within the groups. A simulation model wasbuilttoreflect the differences in medical error rates between screeners. By comparing the results of the simulation as the screeners are manipulated in the system, the model can be used to show how medical errors can be reduced in points of distribution sites

In animated film production, a great bulk of work goes into animating and scene layout. Currently, the industry is centered around flat screens and keyboard and mouse interfaces, which require a substantial amount of time to lay out scene sets and animate shots, resulting in high production costs and lengthy production schedules. This study was designed to determine whether immersive VR interfaces could reduce the time taken to lay out 3D scene sets and animate those scenes compared to traditional interfaces. More specifically, this study compared the time 38 participants took to set up and animate a 3D scene by using two different interfaces, e.g. a VR immersive interface and a traditional mouse and keyboard interface. Further, the study investigated subjects’ interface preference. Findings show that the virtual reality interface was about twice as fast for laying out the scene as the traditional interface. When surveyed, participants preferred the virtual reality interface by a large margin over the provided traditional interface.

Appendix D, CD content can be found with print thesis held at Turitea library, Palmerston North. Content: Empty APCG program Empty RSLogix5000 l5k file Empty RSLogix5000 ACD file Real Life project - APCG program (only partial) Real Life project - RSLogix5000 l5k file (only partial) Real Life project - RSLogix5000 ACD file (only partial)
A competitive edge is one of the requirements of a successful business. Tools, which increase an engineer s productivity and minimize cost, can be considered as a competitive edge. The objective of this thesis was to design, create, and implement Automatic PLC Code Generator (APCG) software. A secondary objective was to demonstrate that the use of the APCG software will lead to improved project efficiency and enhanced profit margin. To create the APCG software, the MS Excel and Visual Basic for Applications (VBA) programs were used as the platform. MS Excel sheets were used as a user interface, while VBA creates the PLC code from the information entered by the engineer. The PLC code, created by the APCG software, follows the PLC structure of the Realcold Milmech Pty. Ltd, as well as the research Automatic generation of PLC code beyond the nominal sequence written by Guttel et al [1]. The APCG software was used to design and create a PLC code for one of the projects undertaken by Realcold Milmech Pty. Ltd. By using APCG software, time to design, create, and test the PLC code was improved when compared to the budgeted time. In addition, the project's profit margin was increased. Based on the results of this thesis it is expected that the APCG software will be useful for programmers that tend to handle a variety of projects on a regular basis, where programming in a modular way is not appropriate.

This dissertation examines the impact of active shooters upon patrons attending large outdoor events. There has been a spike in shooters targeting densely populated spaces in recent years, to include open-air venues. The 2019 Gilroy Garlic Festival was selected for modeling replication using AnyLogic software to test various experiments designed to reduce casualties in the event of an active shooter situation. Through achievement of validation to produce identical outcomes of the real-world Gilroy Garlic Festival shooting, the researcher established a reliable foundational model for experimental purposes. This active shooter research project identifies the need for rapid response efforts to neutralize the shooter(s) as quickly as possible to minimize casualties. Key findings include the importance of armed officers patrolling event grounds to reduce response time, the need for adequate exits during emergency evacuations, incorporation of modern technology to identify the shooter’s location, and applicability of a 1:548 police to patron ratio.

Deep ‘Analog Artificial Neural Networks’ (AANNs) perform complex classification problems with high accuracy. However, they rely on humongous amount of power to perform the calculations, veiling the accuracy benefits. The biological brain on the other hand is significantly more powerful than such networks and consumes orders of magnitude less power, indicating some conceptual mismatch. Given that the biological neurons are locally connected, communicate using energy efficient trains of spikes, and the behavior is non-deterministic, incorporating these effects in Artificial Neural Networks (ANNs) may drive us few steps towards a more realistic neural networks.

Emerging devices can offer a plethora of benefits including power efficiency, faster operation, low area in a vast array of applications. For example, memristors and Magnetic Tunnel Junctions (MTJs) are suitable for high density, non-volatile Random Access Memories when compared with CMOS implementations. In this work, we analyze the possibility of harnessing the characteristics of such emerging devices, to achieve neuro-inspired solutions to intricate problems.

We propose how the inherent stochasticity of nano-scale resistive devices can be utilized to realize the functionality of spiking neurons and synapses that can be incorporated in deep stochastic Spiking Neural Networks (SNN) for image classification problems. While ANNs mainly dwell in the aforementioned classification problem solving domain, they can be adapted for a variety of other applications. One such neuro-inspired solution is the Cellular Neural Network (CNN) based Boolean satisfiability solver. Boolean satisfiability (k-SAT) is an NP-complete (k≥3) problem that constitute one of the hardest classes of constraint satisfaction problems. We provide a proof of concept hardware based analog k-SAT solver that is built using MTJs. The inherent physics of MTJs, enhanced by device level modifications, is harnessed here to emulate the intricate dynamics of an analog, CNN based, satisfiability (SAT) solver.

Furthermore, in the effort of reaching human level performance in terms of accuracy, increasing the complexity and size of ANNs is crucial. Efficient algorithms for evaluating neural network performance is of significant importance to improve the scalability of networks, in addition to designing hardware accelerators. We propose a scalable approach for evaluating Liquid State Machines: a bio-inspired computing model where the inputs are sparsely connected to a randomly interlinked reservoir (or liquid). It has been shown that biological neurons are more likely to be connected to other neurons in the close proximity, and tend to be disconnected as the neurons are spatially far apart. Inspired by this, we propose a group of locally connected neuron reservoirs, or an ensemble of liquids approach, for LSMs. We analyze how the segmentation of a single large liquid to create an ensemble of multiple smaller liquids affects the latency and accuracy of an LSM. In our analysis, we quantify the ability of the proposed ensemble approach to provide an improved representation of the input using the Separation Property (SP) and Approximation Property (AP). Our results illustrate that the ensemble approach enhances class discrimination (quantified as the ratio between the SP and AP), leading to improved accuracy in speech and image recognition tasks, when compared to a single large liquid. Furthermore, we obtain performance benefits in terms of improved inference time and reduced memory requirements, due to lower number of connections and the freedom to parallelize the liquid evaluation process.