Now showing items 1-20 of 2062

    • Web-based visual analytics of lifestyle data in MyHealthAvatar

      Zhao, Youbing; Parvinzamir, Farzad; Zhao, Xia; Deng, Zhikun; Ersotelos, Nikolaos; Dong, Feng; Clapworthy, Gordon J. (ICST, 2015-12-22)
      MyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's wellbeing. As a lifetime companion of citizens the amount of data to be collected is large. It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and map. These components can be used cooperatively to achieve flexible visual analysis of spatial temporal lifestyle and health data.
    • MyHealthAvatar: a case study of web-based interactive visual analytics of lifestyle data

      Parvinzamir, Farzad; Zhao, Youbing; Deng, Zhikun; Zhao, Xia; Ersotelos, Nikolaos; Dong, Feng; Liu, Enjie; Clapworthy, Gordon J.; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2015-12-28)
      MyHealthAvatar is a project designed to collect and track lifestyle and health data to promote citizen wellbeing. As a lifetime companion of citizens, the amount of data collected will be huge. It is almost impossible for citizen, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Interactive visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the interactive visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3d avatar, dashboard, diary, timeline, clock view and map. These components can be integrated to achieve flexible visual analysis of spatio-temporal lifestyle data.
    • Visual analytics for health monitoring and risk management in CARRE

      Zhao, Youbing; Parvinzamir, Farzad; Wei, Hui; Liu, Enjie; Deng, Zhikun; Dong, Feng; Third, Allan; Lukoševičius, Arūnas; Marozas, Vaidotas; Kaldoudi, Eleni; et al. (Springer Verlag, 2016-12-31)
      With the rise of wearable sensor technologies, an increasing number of wearable health and medical sensors are available on the market, which enables not only people but also doctors to utilise them to monitor people’s health in such a consistent way that the sensors may become people’s lifetime companion. The consistent measurements from a variety of wearable sensors implies that a huge amount of data needs to be processed, which cannot be achieved by traditional processing methods. Visual analytics is designed to promote knowledge discovery and utilisation of big data via mature visual paradigms with well-designed user interactions and has become indispensable in big data analysis. In this paper we introduce the role of visual analytics for health monitoring and risk management in the European Commission funded project CARRE which aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The visual analytics components of timeline and parallel coordinates for health monitoring and of node-link diagrams, chord diagrams and sankey diagrams for risk analysis are presented to achieve ubiquitous and lifelong health and risk monitoring to promote people’s health.
    • MyHealthAvatar: a lifetime visual analytics companion for citizen well-being

      Deng, Zhikun; Zhao, Youbing; Parvinzamir, Farzad; Zhao, Xia; Wei, Hui; Liu, Mu; Zhang, Xu; Dong, Feng; Liu, Enjie; Clapworthy, Gordon J.; et al. (Springer Verlag, 2016-12-31)
      MyHealthAvatar is a European Commission funded project aimed to design a lifetime companion for citizens to collect, track and store lifestyle and health data to promote citizen well-being. MyHealthAvatar collects and aggregates life-logging data from wearable devices and mobile apps by integrating a variety of life-logging resources, such as Fitbit, Moves, Withings, etc. As a lifelong companion, the data collected will be too large for citizens, patients and doctors to understand and utilise without proper visual presentation and user interaction. This paper presents the key interactive visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clockview and map to achieve flexible spatio-temporal lifestyle visual analysis to promote citizen well-being.
    • Data mining, management and visualization in large scientific corpuses

      Wei, Hui; Wu, Shaopeng; Zhao, Youbing; Deng, Zhikun; Ersotelos, Nikolaos; Parvinzamir, Farzad; Liu, Baoquan; Liu, Enjie; Dong, Feng; University of Bedfordshire (Springer Verlag, 2016-12-31)
      Organizing scientific papers helps efficiently derive meaningful insights of the published scientific resources, enables researchers grasp rapid technological change and hence assists new scientific discovery. In this paper, we experiment text mining and data management of scientific publications for collecting and presenting useful information to support research. For efficient data management and fast information retrieval, four data storages are employed: a semantic repository, an index and search repository, a document repository and a graph repository, taking full advantage of their features and strength. The results show that the combination of these four repositories can effectively store and index the publication data with reliability and efficiency and hence supply meaningful information to support scientific research.
    • Management of scientific documents and visualization of citation relationships using weighted key scientific terms

      Wei, Hui; Zhao, Youbing; Liu, Enjie; Wu, Shaopeng; Deng, Zhikun; Parvinzamir, Farzad; Dong, Feng; Clapworthy, Gordon J. (SciTePress, 2016-12-31)
      Effective management and visualization of scientific and research documents can greatly assist researchers by improving understanding of relationships (e.g. citations) between the documents. This paper presents work on the management and visualization of large corpuses of scientific papers in order to help researchers explore their citation relationships. Term selection and weighting are used for mining citation relationships by identifying the most relevant. To this end, we present a variation of the TF-IDF scheme, which uses external domain resources as references to calculate the term weighting in a particular domain; document weighting is taken into account in the calculation of term weighting from a group of citations. A simple hierarchical word weighting method is also presented. The work is supported by an underlying architecture for document management using NoSQL databases and employs a simple visualization interface.
    • The role of gender in students' ratings of teaching quality in computer science and environmental engineering

      Price, Linda; Svensson, Ingrid; Borell, Jonas; Richardson, John T.E. (Institute of Electrical and Electronics Engineers Inc., 2017-05-03)
      Students' ratings of teaching quality on course units in a computer science program and an environmental engineering program at a large Swedish university were obtained using the Course Experience Questionnaire; 8888 sets of ratings were obtained from men and 4280 sets were obtained from women over ten academic years. These student ratings from the two programs showed certain differences; in particular, teachers tended to receive higher ratings in subjects that were less typical for their gender than in subjects that were more typical for their gender. There were differences in the ratings given to male and female teachers, differences in the ratings given by male and female students, and interactions between these two effects. There was no systematic trend for students to give different ratings to teachers of the same gender as themselves than to teachers of the other gender. Nevertheless, without exception, even the statistically significant effects were small in magnitude and unlikely to be of theoretical or practical importance. It is concluded that the causes of differences in the career progression of male and female teachers in engineering education need to be sought elsewhere.
    • Supporting sustainable policy and practices for online learning education

      Casanova, Diogo; Price, Linda; Avery, Barry (Springer, 2018-12-31)
      This chapter describes an approach to the adoption of online learning in Higher Education. It is particularly relevant for readers interested in Online and Distance Learning initiatives that enact an agenda of climate change education through being sustainable and future proof. We present a pathway for ensuring sustainable educational initiatives, drawing from research that identifies crucial factors in this endeavour. In particular, it addresses how the adoption of Online and Distance Learning can be used as a catalyst for changing the pedagogical paradigm of universities and how this change may impact on the development of new policies and guidelines. In this chapter we report on how policy, guidelines and professional development can be designed for sustainable and consistent learning design and teaching practices.
    • Topic-aware visual citation tracing via enhanced term weighting for efficient literature retrieval

      Zhao, Youbing; Wei, Hui; Wu, Shaopeng; Parvinzamir, Farzad; Deng, Zhikun; Zhao, Xia; Ersotelos, Nikolaos; Dong, Feng; Clapworthy, Gordon J.; Liu, Enjie; et al. (Springer Verlag, 2017-12-31)
      Efficient retrieval of scientific literature related to a certain topic plays a key role in research work. While little has been done on topic-enabled citation filtering in traditional citation tracing, this paper presents visual citation tracing of scientific papers with document topics taken into consideration. Improved term selection and weighting are employed for mining the most relevant citations. A variation of the TF-IDF scheme, which uses external domain resources as references is proposed to calculate the term weighting in a particular domain. Moreover document weight is also incorporated in the calculation of term weight from a group of citations. A simple hierarchical word weighting method is also presented to handle keyword phrases. A visual interface is designed and implemented to interactively present the citation tracks in chord diagram and Sankey diagram.
    • Quantitative imaging for early detection of osteoarthritis

      Schetinin, Vitaly; University of Bedfordshire (University of Bedfordshire, 2020-07-09)
      The project supported by European Regional Development Fund is related to Quantitative Imaging for Early Detection of Osteoarthritis. The developed method has been tested on high resolution X-Ray images of knees at early stage when the pathological changes in patient's bones cannot be reliably quantified by using the standard radiologic tests. At early stage the pathology is latently developing and so being diagnosed later becomes untreatable. The proposed method has been developed in collaboration with Fusion Radiology (UK) and with Stavropol regional hospital (Russia). The Fusion Radiology (led by Mr Azizul Ambia) is a contractor of the NHS, providing radiology opinions for multiple UK hospitals. The regional hospital (the Deputy MD Anna Sadovaya) has verified the developed method on 160 patient cases. The new method has provided a statistically significant improvement of diagnostic accuracy on the anonymised patient records. The improvements were between 7% and 9%. The results achieved in the studies will allow radiologists to minimise false negative rate which is critically important for early diagnostics.
    • Identity formation among novice academic teachers–a longitudinal study

      McLean, Neil; Price, Linda (Routledge, 2017-12-03)
      This study reports findings from an in-depth, longitudinal investigation of the formation of 13 novice tutors’ professional identities as academic teachers. The study spanned tutors’ first two years in-service, while they were also participating in a teacher development course. Discourse was analysed across 65 time-series coursework texts, completed as part of the tutors’ reflection on their teaching practice. The analysis captured the use of explicit identity positioning cues by tutors across the texts. Four discreet identity positions were catalogued: academic insider, class teacher, teaching course participant and young academic. The study illustrates how these tutors developed more complex identity narratives with enriched coherence over time as they reported negotiating challenges and dissonance between initial expectations and actual teaching experiences. This finding offers explanatory support for previous research regarding the value of longer term teacher development programmes and illuminates existing theoretical models with practitioner perspectives.
    • A longitudinal study of the impact of reflective coursework writing on teacher development courses: a ‘legacy effect’ of iterative writing tasks

      McLean, Neil; Price, Linda (Springer Netherlands, 2018-09-16)
      Studies into the efficacy of teacher development courses for early career academics point to graduates conceiving of their teaching in increasingly complex and student-focussed ways. These studies have used pre- and post-testing of conceptions of teaching to identify this finding. However, these studies do not identify what aspects of these courses contributed to these changes. This exploratory case study investigates this phenomenon through a longitudinal study of 16 academic teachers’ reflective coursework writing. Discourse analysis was used to contrast causal reasoning statements in assignments completed during participants’ first 2 years in-service, while they were completing a UK-based teacher development course. This analysis identified how reasoning about teaching and learning became more complex over time. A key element was the integration of experiences and earlier learning into more nuanced and multi-factorial later reasoning about teaching choices and effects. This ‘legacy effect’ provides new evidence for the efficacy of academic teacher development courses.
    • Advancing cultures of innovation: The change laboratory as an intervention to facilitate agency and collaborative sustainable development among teachers in higher education

      Englund, Claire; Price, Linda (Australasian Society for Computers in Learning in Tertiary Education (ASCILITE), 2018-12-31)
      To cope with the rapidly changing Higher Education climate, teachers need the agency to act proactively to initiate and steer changes to meet their needs. The results of this study indicate that transformative agency emerges when teachers are given the opportunity to analyse, envision and redesign their practice collaboratively with the help of mediating conceptual tools. This has implications for academic development, suggesting that activities providing a ‘third space’ for discussion and criticism of current practices is needed to support the development of agency thus creating a culture of innovative practice.
    • Facilitating agency: the change laboratory as an intervention for collaborative sustainable development in higher education

      Englund, Claire; Price, Linda (Routledge, 2018-06-06)
      To cope with the rapidly changing higher education climate, teachers need agency to act proactively in initiating and steering changes in practice. This paper describes an academic development activity in the form of a Change Laboratory, an intervention method based on Cultural-Historical Activity Theory, to facilitate agency among teachers. The results of the study indicate that transformative agency emerges when teachers are given the opportunity to analyse, envision, and redesign their practice collaboratively. This has implications for academic development, suggesting that activities facilitating discussion, analysis, and criticism of current practices are needed to support the development of agency.
    • Moving towards sustainable policy and practice – a five level framework for online learning sustainability / Progresser vers des politiques et des pratiques durables: un cadre à cinq niveaux pour un apprentissage en ligne durable

      Casanova, Diogo; Price, Linda; University of West London; University of Bedfordshire (Canadian Network for Innovation in Education (CNIE), 2018-12-31)
      This paper addresses the issue of sustainability in online learning in higher education. It introduces and discusses a five-level framework for helping higher education institutions to make the transition from enterprise to sustainable policy and practice in online learning. In particular, it responds to evidence in the literature regarding the lack of sustainability in online learning in higher education. Influenced by Maslow’s hierarchy of needs, this framework is characterized by three different clusters: basic needs, institutional motivation, and stakeholders’ motivations. It is presented hierarchically within five different levels. Examples are provided for each of the levels and suggestions are given to how institutions should respond to each level.
    • The influence of sociocultural and structural contexts in academic change and development in higher education

      Englund, Claire; Olofsson, Anders D.; Price, Linda (Springer, 2018-03-10)
      Teaching quality improvements frequently focus upon the ‘development’ of individual academics in higher education. However, research also shows that the academics’ context has considerable influence upon their practices. This study examines the working environments of teachers on an online pharmacy programme, investigating contextual conditions that facilitate or impede academic change and development. Interview data and institutional policy documents are examined within a Cultural-Historical Activity Theory framework. Distinct differences in the teachers’ sociocultural context were identified as influencing change and development. Departmental teaching cultures and patterns of communication influenced practice both positively, by offering collegial support, and negatively by impeding change. The findings have significance for academic development strategies. They suggest that departmental-level support should include communicative pathways that promote reflection upon and development of conceptions of teaching and learning.
    • Application of Error-Correcting Codes (ECCs) for efficient message transmission in Vehicular Ad Hoc Networks (VANETs)

      Muhammad, Shehu Jabaka; Zhang, Sijing; Dyo, Vladimir; University of Bedfordshire (Springer, 2018-09-29)
      In this paper, we presented an adaptive application of forward error code (FEC) for efficient message transmission in vehicular ad hoc networks (VANETs). Our solution is a combination of automatic retransmission request (ARQ) with FEC at the MAC layer. The proposed scheme used the existing channel condition, an estimate of the maximum number of transmissions before the message deadline elapses and message type as an index in code lookup ensemble (CLE) to get an optimum code (optCode) for the current transmission. Furthermore, the system also set the transmission timeout delay RTT , encode the message with the optCode and transmit. However, if the transmission timeout delay elapses before receiving an ACK/NAK, the scheme will return to the initial stage for feasible retransmission of the message. We evaluated the scheme and compared it with the static FEC for reliable and timely safety message transmission; our system outperformed the static FEC in all cases that we have considered.
    • Using autoregressive modelling and machine learning for stock market prediction and trading

      Hushani, Phillip; University of Bedfordshire (Springer, 2018-09-29)
      Investors raise profit from stock market by maximising gains and minimising loses. The profit is difficult to raise because of the volatile nature of stock market prices. Predictive modelling allows investors to make informed decisions. In this paper, we compare four forecasting models: autoregressive integrated moving average (ARIMA), vector autoregression (VAR), long short-term memory (LSTM) and nonlinear autoregressive Exogenous (NARX). The results of predictive modelling are analysed and compared in terms of prediction accuracy. The research aims to develop a new profitable trading strategy. Our findings are: (i) the NARX model has provided accurate short-term predictions but failed long forecasts, and (ii) the VAR model can form a good trend line required for trading. Thus, the profitable trading strategy can combine the machine learning predictive modelling and technical analysis.
    • Extraction of texture features from x-ray images: case of osteoarthritis detection

      Akter, Mukti; Jakaite, Livija; University of Bedfordshire (Springer, 2018-09-29)
      Texture features quantitatively represent patterns of interest in image analysis and interpretation. Texture features can vary so largely that the analysis leads to interpretation errors and undesirable consequences. In such cases, finding of informative features becomes problematic. In medical imaging, the texture features were found useful for representing variations in patterns of pixel intensity, which were correlated with pathological changes. In this paper, we describe a new approach to extracting the texture features which are represented on the basis of Zernike orthogonal polynomials. We report the preliminary results which were obtained for a case of osteoarthritis detection in X-ray images using a deep learning paradigm known as group method of data handling.
    • Designing an organization for innovation in emerging economies: the mediating role of readiness for innovation

      Arshi, Tahseen Anwer; Burns, Paul; Majan University College; University of Bedfordshire (Vilnius University Press, 2019-12-31)
      The study proposes an organizational design framework that impacts innovation in corporate firms. In an emerging economy like Oman, innovation helps to reduce the dependence on oil revenues and enhance its international competitiveness. However, the corporate organizations in emerging economies are unable to innovate effectively because they are not designed for innovation. Further, scarcity of resources undermines their readiness for innovation. This study empirically validates measures of an entrepreneurial organizational design framework in Omani corporate sector. In order to explain how a corporate organizational design promotes innovation and clarify the missing links between corporate entrepreneurial activity and innovation, the mediating role of readiness for innovation (RFI) is tested. Using a quantitative research approach, data is collected from 401 corporate firms in Oman and analysed using structural equation modelling. The findings support the proposition that entrepreneurial organizational design promotes both radical and incremental innovation degree and frequency, while RFI partially mediates the relationship between entrepreneurial inputs and innovation outputs. The study contributes to the understanding of innovation in emerging economies as it explains that RFI helps firms to enhance its innovation potential by optimizing its resources, capabilities and processes for innovation. These measures are essential for organizations, particularly in emerging economies focused on low cost innovation. The findings of the study will inform managerial decision-making in terms of designing organizations for innovation and implementation of measures related to readiness for innovation. PDF