• Vehicular Ad Hoc Networks (VANETs): current state, challenges, potentials and way forward

      Eze, Elias Chinedum; Zhang, Sijing; Liu, Enjie; University of Bedfodshire (IEEE, 2014-10-27)
      Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of VANETs over the past few years. VANET consists of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications supported by wireless access technologies such as IEEE 802.11p. This innovation in wireless communication has been envisaged to improve road safety and motor traffic efficiency in near future through the development of Intelligent Transport Systems (ITS). Hence, government, auto-mobile industries and academia are heavily partnering through several ongoing research projects to establish standards for VANETs. The typical set of VANET application areas, such as vehicle collision warning and traffic information dissemination have made VANET an interested field of wireless communication. This paper provides an overview on current research state, challenges, potentials of VANETs as well the way forward to achieving the long awaited ITS.
    • 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.
    • Visualising Arabic sentiments and association rules in financial text

      AL-Rubaiee, Hamed Saad; Qiu, Renxi; Li, Dayou (SAI, 2017-02-28)
      Text mining methods involve various techniques, such as text categorization, summarisation, information retrieval, document clustering, topic detection, and concept extraction. In addition, because of the difficulties involved in text mining, visualisation techniques can play a paramount role in the analysis and pre-processing of textual data. This paper will present two novel frameworks for the classification and extraction of the association rules and the visualisation of financial Arabic text in order to realize both the general structure and the sentiment within an accumulated corpus. However, mining unstructured data with natural language processing (NLP) and machine learning techniques can be arduous, especially where the Arabic language is concerned, because of limited research in this area. The results show that our frameworks can readily classify Arabic tweets. Furthermore, they can handle many antecedent text association rules for the positive class and the negative class.
    • Wandering pattern sensing at S-band

      Yang, Xiaodong; Shah, Syed Aziz; Ren, Aifeng; Zhao, Nan; Fan, Dou; Hu, Fangming; Ur-Rehman, Masood; von Deneen, Karen M.; Tian, Jie; Xidian University; et al. (Institute of Electrical and Electronics Engineers Inc., 2017-12-27)
      Increasing prevalence of dementia has posed several challenges for care-givers. Patients suffering from dementia often display wandering behavior due to boredom or memory loss. It is considered to be one of the challenging conditions to manage and understand. Traits of dementia patients can compromise their safety causing serious injuries. This paper presents investigation into the design and evaluation of wandering scenarios with patients suffering from dementia using an S-band sensing technique. This frequency band is the wireless channel commonly used to monitor and characterize different scenarios including random, lapping, and pacing movements in an indoor environment. Wandering patterns are characterized depending on the received amplitude and phase information of that measures the disturbance caused in the ideal radio signal. A secondary analysis using support vector machine is used to classify the three patterns. The results show that the proposed technique carries high classification accuracy up to 90% and has good potential for healthcare applications.
    • A wearable antenna for mmWave IoT applications

      Ur-Rehman, Masood; Kalsoom, Tahera; Malik, Nabeel A.; Safdar, Ghazanfar Ali; Chatha, Hasan Tariq; Ramzan, Naeem; Abbasi, Qammer Hussain; University of Bedfordshire; University of West of Scotland; Islamic University; et al. (Institute of Electrical and Electronics Engineers Inc., 2019-01-14)
      A compact and flexible millimeter-wave (mmWave) antenna with central resonance frequency of 60 GHz has been designed. The performance of the antenna is evaluated numerically. The antenna exhibits a broad bandwidth of 9.8 GHz with a gain of 9.6 dBi. The antenna also provides good radiation coverage throughout the band of interest achieving a maximum efficiency of 70%. Simple structure, flexible geometry, ease of fabrication and excellent performance make it a well- suited option for body-centric IoT applications.
    • 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.
    • What does the pedagogical agent say?

      Christopoulos, Athanasios; Conrad, Marc; Shukla, Mitul; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2019-11-14)
      The successful employment of Virtual Reality Environments in distance education contexts led to the development of various frameworks and taxonomies related to the Virtual-Learning approach. However, when it comes to Blended or 'Hybrid' Virtual Learning (HVL) scenarios, where the learners are concurrently co-present both in the physical and in the virtual environment, the lines are hard to be drawn as this has been a relatively unexplored area. Considering the aforementioned change in the setup of the educational context, different implications, challenges and outcomes are expected to be observed. Motivated by this shortcoming, we conducted a series of experiments with Computer Science and Technology students and investigated the impact of interactions on learners' motivation to engage with the 3D virtual world and the educational activities by extension. In this paper, we discuss students' preconceptions towards the inclusion of 3D Virtual Learning Environments in the context of their studies and further elicit their thoughts related to the impact of the 'hybrid' interactions. In addition, we investigate the educational value of different Non-Player Characters (Pedagogical Agents) and their impact on the attractiveness of the virtual world and the educational tasks. The concluding remarks provide guidance to educators and instructional designers who work in such setups or consider to employ Pedagogical Agents. To this end, employing Pedagogical Agents requires careful consideration as they need to be meaningful and fully incorporated in the learner's task. Another take-away message concerns the elements that foster a situated learning experience as they are associated with immersive experiences.
    • μECM process investigation considering pulse signal features and EDL capacitance

      Mortazavi, Mina; Ivanov, Atanas (Springer, 2019-05-22)
      Micro-electrochemical machining (μECM) is a controlled anodic dissolution process between electrodes. The anodic dissolution, which follows Faraday’s laws of electrolysis, depends on characteristics of the electrodes materials, electrolyte properties, and pulse signal features. μECM is a challenging multidisciplinary task in which quality of the process and features of the finished products depend on a complex relation between different machining parameters including, electrical features of pulse signal, chemical features of electrolyte, physical features of tools, and thermodynamic features of the process. In this paper, influential machining parameters will be reviewed briefly, and pulse signal features will be investigated and analyzed considering the behavior of the electrode-electrolyte interface. The interface has capacitive feature and plays an important role in micromachining performance. The proposed simulation work presents the requirement for the pulse on-time in order to provide the maximum possible charging-discharging time for the capacitive behavior of the electrode-electrolyte interface.