Breaking Computational Barriers to Perform Time Series Pattern Mining at Scale and at the Edge

Uncovering repeated behavior in time series is an important problem in many domains such as medicine, geophysics, meteorology, and many more. With the continuing surge of smart/embedded devices generating time series data, there is an ever growing need to perform analysis on datasets of increasing size. Additionally, there is an increasing need for analysis at low power edge devices due to latency problems inherent to the speed of light and the sheer amount of data being recorded. The matrix profile has proven to be a tool highly suitable for pattern mining in time series; however, a naive approach to computing the matrix profile makes it impossible to use effectively in both the cloud and at the edge. This dissertation shows how, through the use of GPUs and machine learning, the matrix profile is computed more feasibly, both at cloud-scale and at sensor-scale. In addition, it illustrates why both of these types of computation are important and what new insights they can provide to practitioners working with time series data

A framework to influence the behavioural intention of adults to monitor their health using gamification: a case of discovery vitality in East London, South Africa.

The epidemic of overweight or obesity conditions has become a public health concern in South Africa, and signifies major challenges of chronic diseases affecting the healthcare sector. Recent years have noted the increasing prevalence of gamification and development across all age groups. The rapid adoption and use of gamification as a tool to improve adult motivation and engagement when monitoring their health and wellness is an essential form of health intervention. Gamification allows its users to keep track of their health in real time and encourages an active healthy lifestyle behaviour. Research has found that there are factors that may inhibit the behavioural intention of adults to use gamification for health monitoring in the long term. These factors include cost or membership fees associated with gamification that uses Discovery Vitality and privacy concerns. The main aim of this research study was to develop a framework to influence the behavioural intention of adults to monitor their health through gamification making use of Discovery Vitality as the case study. The self-determination theory was used as the theoretical framework to ensure continuance usage of gamification for sustained health monitoring. A qualitative research approach was chosen for this study. The purposive sampling technique was selected to identify 20 adults between the ages of 18-59 years that are members of Discovery Vitality in East London, South Africa. Interviews were conducted with the 20 participants to identify the factors that will influence their behavioural intention to make use of gamification to monitor their health. After data collection, thematic analysis was used to analyse the data and the data provided by the participants was organised and summarised into relevant themes to answer the main research question. The study developed a framework which incorporated the four constructs of the self-determination theory, namely perceived autonomy, competence, relatedness and satisfaction of basic psychological needs for sustained health monitoring. The study also developed the five factors influencing the behavioural intention of adults to continue using gamification for sustained health monitoring. These factors are known as: broad appeal, applicability and accessibility through mobile technology and pervasive sensors, development and accomplishment, employment of creativity and feedback, and lastly social influence and relatedness. The recognition of weight loss, tracking and monitoring of physical activities and medication adherence was found to positively influence the behavioural intention of adults to continuosly use gamification to monitor their health.Thesis (MCom) (Information Systems) -- University of Fort Hare, 202

A framework to influence the behavioural intention of adults to monitor their health using gamification: a case of discovery vitality in East London, South Africa.

The epidemic of overweight or obesity conditions has become a public health concern in South Africa, and signifies major challenges of chronic diseases affecting the healthcare sector. Recent years have noted the increasing prevalence of gamification and development across all age groups. The rapid adoption and use of gamification as a tool to improve adult motivation and engagement when monitoring their health and wellness is an essential form of health intervention. Gamification allows its users to keep track of their health in real time and encourages an active healthy lifestyle behaviour. Research has found that there are factors that may inhibit the behavioural intention of adults to use gamification for health monitoring in the long term. These factors include cost or membership fees associated with gamification that uses Discovery Vitality and privacy concerns. The main aim of this research study was to develop a framework to influence the behavioural intention of adults to monitor their health through gamification making use of Discovery Vitality as the case study. The self-determination theory was used as the theoretical framework to ensure continuance usage of gamification for sustained health monitoring. A qualitative research approach was chosen for this study. The purposive sampling technique was selected to identify 20 adults between the ages of 18-59 years that are members of Discovery Vitality in East London, South Africa. Interviews were conducted with the 20 participants to identify the factors that will influence their behavioural intention to make use of gamification to monitor their health. After data collection, thematic analysis was used to analyse the data and the data provided by the participants was organised and summarised into relevant themes to answer the main research question. The study developed a framework which incorporated the four constructs of the self-determination theory, namely perceived autonomy, competence, relatedness and satisfaction of basic psychological needs for sustained health monitoring. The study also developed the five factors influencing the behavioural intention of adults to continue using gamification for sustained health monitoring. These factors are known as: broad appeal, applicability and accessibility through mobile technology and pervasive sensors, development and accomplishment, employment of creativity and feedback, and lastly social influence and relatedness. The recognition of weight loss, tracking and monitoring of physical activities and medication adherence was found to positively influence the behavioural intention of adults to continuosly use gamification to monitor their health.Thesis (MCom) (Information Systems) -- University of Fort Hare, 202

Design research in the Netherlands 2010 : proceedings of the symposium held on 20-21 May 2010, Eindhoven University of Technology

Design Research in the Netherlands occurs every five years to take stock of the state-of-the-art in design research that takes place in all design disciplines in the Netherlands. How has our understanding of design developed through research on this phenomenon? What are the research and development methodologies used to acquire insight in design? What have we achieved in the past period, and what are out expectations for the coming period? Researchers and research groups outline their development over the past five years in position papers, addressing insights, methods, results, and problems. Design Research in the Netherlands 2010 is the fourth edition, following three symposia held in 1995, 2000, and 2005. The five-year cycle allows to take conceptual distance from everyday problems that are often project-specific, and to assess how the field is developing. The proceedings form a valuable cross-disciplinary overview of research on design

Sensor web geoprocessing on the grid

Recent standardisation initiatives in the fields of grid computing and geospatial sensor middleware provide an exciting opportunity for the composition of large scale geospatial monitoring and prediction systems from existing components. Sensor middleware standards are paving the way for the emerging sensor web which is envisioned to make millions of geospatial sensors and their data publicly accessible by providing discovery, task and query functionality over the internet. In a similar fashion, concurrent development is taking place in the field of grid computing whereby the virtualisation of computational and data storage resources using middleware abstraction provides a framework to share computing resources. Sensor web and grid computing share a common vision of world-wide connectivity and in their current form they are both realised using web services as the underlying technological framework. The integration of sensor web and grid computing middleware using open standards is expected to facilitate interoperability and scalability in near real-time geoprocessing systems. The aim of this thesis is to develop an appropriate conceptual and practical framework in which open standards in grid computing, sensor web and geospatial web services can be combined as a technological basis for the monitoring and prediction of geospatial phenomena in the earth systems domain, to facilitate real-time decision support. The primary topic of interest is how real-time sensor data can be processed on a grid computing architecture. This is addressed by creating a simple typology of real-time geoprocessing operations with respect to grid computing architectures. A geoprocessing system exemplar of each geoprocessing operation in the typology is implemented using contemporary tools and techniques which provides a basis from which to validate the standards frameworks and highlight issues of scalability and interoperability. It was found that it is possible to combine standardised web services from each of these aforementioned domains despite issues of interoperability resulting from differences in web service style and security between specifications. A novel integration method for the continuous processing of a sensor observation stream is suggested in which a perpetual processing job is submitted as a single continuous compute job. Although this method was found to be successful two key challenges remain; a mechanism for consistently scheduling real-time jobs within an acceptable time-frame must be devised and the tradeoff between efficient grid resource utilisation and processing latency must be balanced. The lack of actual implementations of distributed geoprocessing systems built using sensor web and grid computing has hindered the development of standards, tools and frameworks in this area. This work provides a contribution to the small number of existing implementations in this field by identifying potential workflow bottlenecks in such systems and gaps in the existing specifications. Furthermore it sets out a typology of real-time geoprocessing operations that are anticipated to facilitate the development of real-time geoprocessing software.EThOS - Electronic Theses Online ServiceEngineering and Physical Sciences Research Council (EPSRC) : School of Civil Engineering & Geosciences, Newcastle UniversityGBUnited Kingdo

Sources of productivity growth in Vietnam: Three essays

This thesis examines the sources of productivity growth in Vietnam, a developing country that has been transitioning from a centrally-planned economy to a more market-oriented one since 1986. Following the introduction, which sets the motivation and scope of the study, the thesis is organised into three core chapters, composed of self-contained articles. The first two core chapters focus on the within-firm determinants of productivity, namely the persistence of export activities and the transition into the formal business sector. The third core chapter investigates the between-firm (mis)allocation of capital that impacts aggregate productivity. The final chapter summarises the main findings and draws conclusions. Chapter Two examines the relationship between export and firm learning, with evidence provided on the learning mechanisms of exporters in Vietnam during the period 2010 to 2017. Using a dynamic panel data model, estimated by the generalised method of moments technique, the paper reveals opposite patterns of learning between exporters who pursue their export activities persistently and intermittent exporters whose export is merely a temporary activity. The former experience a U-shaped pattern of ex-post productivity, while the latter exhibit an inverted U-shaped pattern. The paper also finds that compared with intermittent exporters, persistent exporters are more likely to receive technology transfer from foreign buyers and are more likely to invest in technology, infrastructure and staff training in order to meet the requirements of export contracts. These findings help explain why previous studies that treated exporters as a homogeneous group tend to find ambiguous evidence of learning by exporting. Chapter Three examines the transition of Vietnam's informal household businesses into formal firms and its impacts upon firm-level productivity and incurred informal costs. Based on a panel dataset of formal and informal firms during 2007-2015, the paper employs a matched difference-in-difference approach to find that such transition, known as 'formalisation', leads to higher investment, greater capital stock and an increase in labour productivity, which ranges between 23 and 82 percent. There is no statistically significant surge in total factor productivity, implying that the gain in labour productivity comes from capital deepening rather than true innovation. In addition, the paper finds that household firms have to incur higher informal costs after joining the formal sector. Chapter Four examines capital misallocation of manufacturing firms in Vietnam during the period 2008 to 2017. The paper adopts a general equilibrium model to disentangle the roles of the three sources of capital misallocation: adjustment costs, uncertainty and policy distortions. The theoretical model is then estimated via the moment matching technique that seeks to minimise the equally weighted distance between simulation model values and observed values of the targeted moments. The paper finds that overall, distortions create a productivity gap of 147 percent relative to the undistorted first-best level, meaning that productivity can more than double the current level if capital is efficiently allocated. Among the difference sources of misallocation, adjustment costs play a negligible role compared with uncertainty and policy distortions. The latter account for 81 percent of capital misallocation in Vietnam and a productivity gap of 110 percent relative to the first-best level. State ownership policy alone accounts for a 38-percent loss of aggregate manufacturing productivity, indicating the urgency of reforming state-owned enterprises and ensuring a level-playing field regardless of ownership forms

Modelling and characterisation of distributed hardware acceleration

Hardware acceleration has become more commonly utilised in networked computing systems. The growing complexity of applications mean that traditional CPU architectures can no longer meet stringent latency constraints. Alternative computing architectures such as GPUs and FPGAs are increasingly available, along with simpler, more software-like development flows. The work presented in this thesis characterises the overheads associated with these accelerator architectures. A holistic view encompassing both computation and communication latency must be considered. Experimental results obtained through this work show that networkattached accelerators scale better than server-hosted deployments, and that host ingestion overheads are comparable to network traversal times in some cases. Along with the choice of processing platforms, it is becoming more important to consider how workloads are partitioned and where in the network tasks are being performed. Manual allocation and evaluation of tasks to network nodes does not scale with network and workload complexity. A mathematical formulation of this problem is presented within this thesis that takes into account all relevant performance metrics. Unlike other works, this model takes into account growing hardware heterogeneity and workload complexity, and is generalisable to a range of scenarios. This model can be used in an optimisation that generates lower cost results with latency performance close to theoretical maximums compared to naive placement approaches. With the mathematical formulation and experimental results that characterise hardware accelerator overheads, the work presented in this thesis can be used to make informed design decisions about both where to allocate tasks and deploy accelerators in the network, and the associated costs

Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Technische Universität Ilmenau, 09. - 11. März 2016; Band III

Übersicht der Teilkonferenzen Band III • Service Systems Engineering • Sicherheit, Compliance und Verfügbarkeit von Geschäftsprozessen • Smart Services: Kundeninduzierte Kombination komplexer Dienstleistungen • Strategisches IT-Management • Student Track • Telekommunikations- und Internetwirtschaft • Unternehmenssoftware – quo vadis? • Von der Digitalen Fabrik zu Industrie 4.0 – Methoden und Werkzeuge für die Planung und Steuerung von intelligenten Produktions- und Logistiksystemen • Wissensmanagemen