This thesis presents a complete self-calibrating illumination intensity-invariant colour classification system. We extend a novel fuzzy colour processing tech- nique called Fuzzy Colour Contrast Fusion (FCCF) by combining it with a Heuristic- assisted Genetic Algorithm (HAGA) for automatic fine-tuning of colour descriptors. Furthermore, we have improved FCCF’s efficiency by processing colour channels at varying colour depths in search for the optimal ones. In line with this, we intro- duce a reduced colour depth representation of a colour image while maintaining efficient colour sensitivity that suffices for accurate real-time colour-based object recognition. We call the algorithm Variable Colour Depth (VCD) and we propose a technique for building and searching a VCD look-up table (LUT). The first part of this work investigates the effects of applying fuzzy colour contrast rules to vary- ing colour depths as we extract the optimal rule combination for any given target colour exposed under changing illumination intensities. The second part introduces the HAGA-based parameter-optimisation for automatically constructing accurate colour classifiers. Our results show that for all cases, the VCD algorithm, combined with HAGA for parameter optimisation improve colour classification via a pie-slice colour classifier.For 6 different target colours, the hybrid algorithm was able to yield 17.63% higher overall accuracy as compared to the pure fuzzy approach. Fur- thermore, it was able to reduce LUT storage space by 78.06% as compared to the full-colour depth LUT.

This thesis presents a framework of test methodology to assess spatial domain compression artefacts produced by image and intra-frame coded video codecs. Few researchers have studied this broad range of artefacts. A taxonomy of image and video compression artefacts is proposed. This is based on the point of origin of the artefact in the image communication model. This thesis presents objective evaluation of distortions known as artefacts due to image and intra-frame coded video compression made using synthetic test patterns. The American National Standard Institute document ANSI T1 801 qualitatively defines blockiness, blur and ringing artefacts. These definitions have been augmented with quantitative definitions in conjunction with test patterns proposed. A test and measurement environment is proposed in which the codec under test is exercised using a portfolio of test patterns. The test patterns are designed to highlight the artefact under study. Algorithms have been developed to detect and measure individual artefacts based on the characteristics of respective artefacts. Since the spatial contents of the original test patterns form known structural details, the artefact distortion metrics based on the characteristics of those artefacts are clean and swift to calculate. Distortion metrics are validated using a human vision system inspired modern image quality metric. Blockiness, blur and ringing artefacts are evaluated for representative codecs using proposed synthetic test patterns. Colour bleeding due to image and video compression is discussed with both qualitative and quantitative definitions for the colour bleeding artefacts introduced. The image reproduction performance of a few codecs was evaluated to ascertain the utility of proposed metrics and test patterns.

Each year, the world’s top orange producers output millions of oranges for human consumption. This production is projected to grow by as much as 64 million in 2010 and so the demand for fast, low-cost and precise automated orange fruit grading systems is only deemed to become more increasingly important. There is however an underlying limit to most orange blemish detection algorithms. Most existing statistical-based, structural-based, model-based and transform-based orange blemish detection algorithms are plagued by the following problem: any pixels in an image of an orange having about the same magnitudes for the red, green and blue channels will almost always be classified as belonging to the same category (either a blemish or not). This however presents a big problem as the RGB components of the pixels corresponding to blemishes are very similar to pixels near the boundary of an orange. In light of this problem, this research utilizes a priori knowledge of the local intensity variations observed on rounded convex objects to classify the ambiguous pixels correctly. The algorithm has the effect of peeling-off layers of the orange skin according to gradations of the intensity. Therefore, any abrupt discontinuities detected along successive layers would significantly help identifying skin blemishes more accurately. A commercial-grade fruit inspection and distribution system was used to collect 170 navel orange images. Of these images, 100 were manually classified as good oranges by human inspection and the rest are blemished ones. We demonstrate the efficacy of the algorithm using these images as the benchmarking test set. Our results show that the system garnered 96% correctly classified good oranges and 97% correctly classified blemished oranges. The proposed system is easily customizable as it does not require any training. The fruit quality bands can be adjusted to meet the requirements set by the market standards by specifying an agreeable percentage of blemishes for each band.

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Personal document management is the activity of managing a collection of digital documents performed by the owner of the documents, and consists of creation/acquisition, organisation, finding and maintenance. Document management is a pervasive aspect of digital work, but has received relatively little attention from researchers. The hierarchical file system used by most people to manage their documents has not conceptually changed in decades. Although revolutionary prototypes have been developed, these have not been grounded in a thorough understanding of document management behaviour and therefore have not resulted in significant changes to document management interfaces. Improvements in understanding document management can result in productivity gains for knowledge workers, and since document management is such a common activity, small improvements can deliver large gains. The aim of this research was to understand how people manage their personal document collections and to develop guidelines for the development of tools to support personal document management. A field study was conducted that included interviews, a survey and file system snapshot. The interviews were conducted with ten participants to investigate their document management strategies, structures and struggles. In addition to qualitative analysis of semi-structured interviews, a novel investigation technique was developed in the form of a file system snapshot which collects information about document structures and derives a number of metrics which describe the document structure. A survey was also conducted, consisting of a questionnaire and a file system snapshot, which enabled the findings of the field study to be validated, and to collect information from a greater number of participants. The results of this research culminated in (1) development of a conceptual framework highlighting the key personal document management attitudes, behaviours and concerns; (2) model of basic operations that any document management system needs to provide; (3) identification of piling, filing and structuring as three key document management strategies; (4) guidelines for the development of user interfaces to support document management, including specific guidelines for each document management strategy. These contributions both improve knowledge of personal document management on which future research can build, and provide practical advice to document management system designers which should result in the development of more usable system.

Personal document management is the activity of managing a collection of digital documents performed by the owner of the documents, and consists of creation/acquisition, organisation, finding and maintenance. Document management is a pervasive aspect of digital work, but has received relatively little attention from researchers. The hierarchical file system used by most people to manage their documents has not conceptually changed in decades. Although revolutionary prototypes have been developed, these have not been grounded in a thorough understanding of document management behaviour and therefore have not resulted in significant changes to document management interfaces. Improvements in understanding document management can result in productivity gains for knowledge workers, and since document management is such a common activity, small improvements can deliver large gains. The aim of this research was to understand how people manage their personal document collections and to develop guidelines for the development of tools to support personal document management. A field study was conducted that included interviews, a survey and file system snapshot. The interviews were conducted with ten participants to investigate their document management strategies, structures and struggles. In addition to qualitative analysis of semi-structured interviews, a novel investigation technique was developed in the form of a file system snapshot which collects information about document structures and derives a number of metrics which describe the document structure. A survey was also conducted, consisting of a questionnaire and a file system snapshot, which enabled the findings of the field study to be validated, and to collect information from a greater number of participants. The results of this research culminated in (1) development of a conceptual framework highlighting the key personal document management attitudes, behaviours and concerns; (2) model of basic operations that any document management system needs to provide; (3) identification of piling, filing and structuring as three key document management strategies; (4) guidelines for the development of user interfaces to support document management, including specific guidelines for each document management strategy. These contributions both improve knowledge of personal document management on which future research can build, and provide practical advice to document management system designers which should result in the development of more usable system.

Personal document management is the activity of managing a collection of digital documents performed by the owner of the documents, and consists of creation/acquisition, organisation, finding and maintenance. Document management is a pervasive aspect of digital work, but has received relatively little attention from researchers. The hierarchical file system used by most people to manage their documents has not conceptually changed in decades. Although revolutionary prototypes have been developed, these have not been grounded in a thorough understanding of document management behaviour and therefore have not resulted in significant changes to document management interfaces. Improvements in understanding document management can result in productivity gains for knowledge workers, and since document management is such a common activity, small improvements can deliver large gains. The aim of this research was to understand how people manage their personal document collections and to develop guidelines for the development of tools to support personal document management. A field study was conducted that included interviews, a survey and file system snapshot. The interviews were conducted with ten participants to investigate their document management strategies, structures and struggles. In addition to qualitative analysis of semi-structured interviews, a novel investigation technique was developed in the form of a file system snapshot which collects information about document structures and derives a number of metrics which describe the document structure. A survey was also conducted, consisting of a questionnaire and a file system snapshot, which enabled the findings of the field study to be validated, and to collect information from a greater number of participants. The results of this research culminated in (1) development of a conceptual framework highlighting the key personal document management attitudes, behaviours and concerns; (2) model of basic operations that any document management system needs to provide; (3) identification of piling, filing and structuring as three key document management strategies; (4) guidelines for the development of user interfaces to support document management, including specific guidelines for each document management strategy. These contributions both improve knowledge of personal document management on which future research can build, and provide practical advice to document management system designers which should result in the development of more usable system.

Many commercial devices now being produced have the ability to be remotely monitored and controlled. This thesis aims to develop a generic platform that can easily be extended to interface with many different kinds of devices for remote monitoring and control via a TCP/IP connection. The deployment will be concentrated on Medical devices but can be extended to all serial device interfaces. The hardware to be used in the development of this platform is an ARM Cortex M3 based Micro-Controller board which has to be designed to meet the requirement set by the Precept Health the founder of this platform. The design was conducted at Massey University in collaboration with senior engineer from the company. The main task in achieving the aim was the development of the necessary software layers to implement remote monitoring and control. The eCosCentric real-time embedded operating system was used to form a generic base for developing applications to monitor and control specific devices. The majority of the work involved in this project was the deployment of the operating system to the Micro-Controller. During the development process, several hardware issues were discovered with the Ethernet interface and were corrected. Using the generic platform, an application was developed to allow the reading of Bi-Directional pass through a communication protocol from 4 isolated serial input channels, to an Ethernet channel using TCP protocol.

A multiplatform e-learning system is an e-learning system that can deliver learning content to different accessing devices such as PCs, PDAs and mobile phones. The main objective of the research is to formulate a framework for multiplatform e-learning systems. This thesis focuses on the formulation, competency and constitution of the multiplatform e-learning systems framework and the implementation of a multiplatform e-learning system. In conjunction with the main objective, the research also addresses the factors that influence learner satisfaction during their engagement with a multiplatform e-learning system. In addition, the research investigates the relationships between these factors in influencing learner satisfaction. The research also intends to validate the assertion that multiplatform e-learning systems are better than non-adaptive e-learning systems. A comparative evaluation between a traditional e-learning system and a multiplatform e-learning system from end user (learner) perspective was conducted. The evaluation instrument is based on multiplatform e-learning system questionnaires (MELQ). A total of forty participants took part in the evaluation. Four participants took part in the initial pilot evaluation while thirty six participants took part in the final evaluation. Data analysis and statistical results indicate that there are potential gains in learner satisfaction score in multiplatform e-learning systems over traditional e-learning systems. The results also show that the gain is most significant in mobile devices than in desktop PCs. Statistical analysis reveals that all the factors that influence the learner satisfaction are significant and they have different levels of influence over learner satisfaction. These factors can be further organized into primary factors and secondary factors. These findings and the methodology of evaluation can play an important role for e-learning systems designer to improve the adaptation process and to enhance the level of learner satisfaction in multiplatform e-learning systems.

Over the years many organizations have implemented an enterprise system (ES), also called enterprise resource planning (ERP) system, to streamline the flow of information and improve organizational effectiveness to produce business benefits which justify the ES investment. The effectiveness of these systems to achieve benefits is an area being proactively researched by both professionals and academia. However, most of these studies focus on ‘what ESs do’ rather than ‘how ESs do it’. The purpose of this study is to better understand how organizations derive benefits from utilization of an ES and its data. This study utilizes a transformational model of how ES data are transformed into knowledge and results to evaluate the impact of ES information on organizational functions and processes and how this can lead to business benefits. The linkage between expected outcomes, utilization of ES data in decision-making processes, and realized or unrealized benefits provides the reason for this study. Findings reveal that the key benefits commercial firms seek from an ES include improving information flow and visibility, integration and automation of functions, cost reductions by reducing inventory, and achieving process efficiencies for both internal and external operations. The various tools and methods businesses use for transforming ES data into knowledge include the use of data warehouses and business intelligence modules that assist in extraction and manipulation of data, and reporting on particular data objects. Web portals are actively utilized to collaborate between stakeholders and access real-time information. Business tools such as KPI reporting, balanced scorecards and dashboards are used to track progress towards realizing benefits and establishing analytical decision making. Findings emphasize that benefit realization from an ES implementation is a holistic process that not only includes the essential data and technology factors, but also includes other factors such as business strategy deployment, people and process management, and skills and competency development. Findings reveal that business organizations generally lack in producing value assessments that often lead to weak business cases and insufficient benefit models which cannot be used for benefit tracking. However, these organizations are now realizing that it is not enough to put in an ES and expect an automatic improvement. Organizations are now establishing analytical and knowledge-leveraging processes to optimize and realize business value from their ES investment.