Automated Mapping of Adaptive App GUIs from Phones to TVs

With the increasing interconnection of smart devices, users often desire to adopt the same app on quite different devices for identical tasks, such as watching the same movies on both their smartphones and TV. However, the significant differences in screen size, aspect ratio, and interaction styles make it challenging to adapt Graphical User Interfaces (GUIs) across these devices. Although there are millions of apps available on Google Play, only a few thousand are designed to support smart TV displays. Existing techniques to map a mobile app GUI to a TV either adopt a responsive design, which struggles to bridge the substantial gap between phone and TV or use mirror apps for improved video display, which requires hardware support and extra engineering efforts. Instead of developing another app for supporting TVs, we propose a semi-automated approach to generate corresponding adaptive TV GUIs, given the phone GUIs as the input. Based on our empirical study of GUI pairs for TV and phone in existing apps, we synthesize a list of rules for grouping and classifying phone GUIs, converting them to TV GUIs, and generating dynamic TV layouts and source code for the TV display. Our tool is not only beneficial to developers but also to GUI designers, who can further customize the generated GUIs for their TV app development. An evaluation and user study demonstrate the accuracy of our generated GUIs and the usefulness of our tool.Comment: 30 pages, 15 figure

A Flexible Laboratory Environment Supporting Honeypot Deployment for Teaching Real-World Cybersecurity Skills

In the practical study of cybersecurity, students benefit greatly from having full control of physical equipment and services. However, this presents far too great a risk to security to be permitted on university campus networks. This paper describes an approach, used successfully at Northumbria University, in which students have control of an off-campus network laboratory, with a dedicated connection to the Internet. The laboratory is flexible enough to allow the teaching of general purpose networking and operating systems courses, while also supporting the teaching of cybersecurity through the safe integration of honeypot devices. In addition, the paper gives an analysis of honeypot architectures and presents two in detail. One of these offers students the opportunity to study cybersecurity attacks and defences at very low cost. It has been developed as a stand-alone device that also can be integrated safely into the laboratory environment for the study of more complex scenarios. The main contributions of this paper are the design and implementation of: an off-campus, physical network laboratory; a small, low-cost, configurable platform for use as a “lightweight” honeypot; and a laboratory-based, multi-user honeypot for large-scale, concurrent, cybersecurity experiments. The paper outlines how the laboratory environment has been successfully deployed within a university setting to support the teaching and learning of cybersecurity. It highlights the type of experiments and projects that have been supported and can be supported in the future

Extinction Coefficient Measurement Comparison of Tungsten Powder Clouds

All materials in dust form pose an increased risk of accidental deflagration, or explosion. For workplace safety, this risk of deflagration for a solid particulate sample is characterized through specialized dust explosibility testing systems. These systems disperse a cloud of powder inside a spherical chamber via a pressure gradient, where a timed ignition occurs. The accuracy of measurements taken during this process are predicated upon the assumption that the cloud of powder is uniformly distributed during the ignition period. Metal additive manufacturing (AM) is a rapidly expanding technology that, in some cases, involves heavy metal powders that do not disperse well in standard explosibility testing vessels. Consequently, there is a need to validate explosibility data for heavy metal powder blends to ensure that the dust sample is adequately dispersed in the chamber at the time of ignition. This thesis provides a method for employing optical dust probes to determine the concentration of a tungsten metal AM powder cloud inside an enclosed vessel. Optical dust probes are devices that measure light transmission through an attenuating medium, in this case a cloud of powder, and utilize Bouguer-Beer-Lambert (BBL) law to determine the concentration of particles. This thesis summarizes and synthesizes the assumptions and limitations of BBL law when used with optical dust probes, drawing from multiple published works with varying applications. The bounds of the average extinction efficiency are discussed, especially with respect to when the extinction paradox can be applied. Ultimately, it is determined that the BBL law can only be applied in this study to determine extinction coefficients, and that calculating a specific mass concentration value is theoretically misguided without specific modifications to the experimental setup. The extinction coefficients measured via an optical dust probe and a separate image analysis method are compared. Although no correlation could be established due to the limitations of this experimental setup, specific modifications are suggested that would enable this methodology to be used in future applications

Image Processing Using FPGAs

This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs

Digital Transformation

The amount of literature on Digital Transformation is staggering—and it keeps growing. Why, then, come out with yet another such document? Moreover, any text aiming at explaining the Digital Transformation by presenting a snapshot is going to become obsolete in a blink of an eye, most likely to be already obsolete at the time it is first published. The FDC Initiative on Digital Reality felt there is a need to look at the Digital Transformation from the point of view of a profound change that is pervading the entire society—a change made possible by technology and that keeps changing due to technology evolution opening new possibilities but is also a change happening because it has strong economic reasons. The direction of this change is not easy to predict because it is steered by a cultural evolution of society, an evolution that is happening in niches and that may expand rapidly to larger constituencies and as rapidly may fade away. This creation, selection by experimentation, adoption, and sudden disappearance, is what makes the whole scenario so unpredictable and continuously changing.The amount of literature on Digital Transformation is staggering—and it keeps growing. Why, then, come out with yet another such document? Moreover, any text aiming at explaining the Digital Transformation by presenting a snapshot is going to become obsolete in a blink of an eye, most likely to be already obsolete at the time it is first published. The FDC Initiative on Digital Reality felt there is a need to look at the Digital Transformation from the point of view of a profound change that is pervading the entire society—a change made possible by technology and that keeps changing due to technology evolution opening new possibilities but is also a change happening because it has strong economic reasons. The direction of this change is not easy to predict because it is steered by a cultural evolution of society, an evolution that is happening in niches and that may expand rapidly to larger constituencies and as rapidly may fade away. This creation, selection by experimentation, adoption, and sudden disappearance, is what makes the whole scenario so unpredictable and continuously changing

Human behavior understanding for worker-centered intelligent manufacturing

“In a worker-centered intelligent manufacturing system, sensing and understanding of the worker’s behavior are the primary tasks, which are essential for automatic performance evaluation & optimization, intelligent training & assistance, and human-robot collaboration. In this study, a worker-centered training & assistant system is proposed for intelligent manufacturing, which is featured with self-awareness and active-guidance. To understand the hand behavior, a method is proposed for complex hand gesture recognition using Convolutional Neural Networks (CNN) with multiview augmentation and inference fusion, from depth images captured by Microsoft Kinect. To sense and understand the worker in a more comprehensive way, a multi-modal approach is proposed for worker activity recognition using Inertial Measurement Unit (IMU) signals obtained from a Myo armband and videos from a visual camera. To automatically learn the importance of different sensors, a novel attention-based approach is proposed to human activity recognition using multiple IMU sensors worn at different body locations. To deploy the developed algorithms to the factory floor, a real-time assembly operation recognition system is proposed with fog computing and transfer learning. The proposed worker-centered training & assistant system has been validated and demonstrated the feasibility and great potential for applying to the manufacturing industry for frontline workers. Our developed approaches have been evaluated: 1) the multi-view approach outperforms the state-of-the-arts on two public benchmark datasets, 2) the multi-modal approach achieves an accuracy of 97% on a worker activity dataset including 6 activities and achieves the best performance on a public dataset, 3) the attention-based method outperforms the state-of-the-art methods on five publicly available datasets, and 4) the developed transfer learning model achieves a real-time recognition accuracy of 95% on a dataset including 10 worker operations”--Abstract, page iv

An aesthetics of touch: investigating the language of design relating to form

How well can designers communicate qualities of touch? This paper presents evidence that they have some capability to do so, much of which appears to have been learned, but at present make limited use of such language. Interviews with graduate designer-makers suggest that they are aware of and value the importance of touch and materiality in their work, but lack a vocabulary to fully relate to their detailed explanations of other aspects such as their intent or selection of materials. We believe that more attention should be paid to the verbal dialogue that happens in the design process, particularly as other researchers show that even making-based learning also has a strong verbal element to it. However, verbal language alone does not appear to be adequate for a comprehensive language of touch. Graduate designers-makers’ descriptive practices combined non-verbal manipulation within verbal accounts. We thus argue that haptic vocabularies do not simply describe material qualities, but rather are situated competences that physically demonstrate the presence of haptic qualities. Such competencies are more important than groups of verbal vocabularies in isolation. Design support for developing and extending haptic competences must take this wide range of considerations into account to comprehensively improve designers’ capabilities

An investigation of the mirroring of supply chain configuration modularity, and product modularity in contemporary supply chains

The introduction of new to market products is a challenge, in high technology markets, where speed and product variation are key considerations. High technology companies require the ability to simultaneously combine operational excellence, customer intimacy and product leadership. A lack of coordination between new product development (NPD), product planning and supply chain configuration (SCC) is a recognised cause of many early-life product failures. This research has one objective: to increase our understanding of the role of modularity in linking SCC and NPD decisions. The research incorporates general systems theory (GST) and knowledge-based theory (KBT), in mirroring product modularity (PM) and SCC modularity (SCCM) within contemporary supply networks. A systematic literature review (SLR) advocates the use of modular design, in linking these concepts and boosting the rate of innovation. The literature indicates that product architecture (PA) and SCC tend to be mirrored in modularity levels, post product launch, and this mirroring is desirable. The literature identified a gap in how SCCM is conceptualised, and how this mirroring manifests itself. These gaps are addressed in the empirical research conducted in project two, where the SCCM construct was developed and used to assess the manifestation and benefits of PM and SCCM mirroring across ten products (UoA) in five case companies across four industry sectors. Mirroring is evident, in six of the UoA, the remaining four UoA exhibit a medium level of mirroring, post product launch. The contribution to theory is a conceptualisation of SCCM where supply chain tiering is a main indicator. Propensity for modules to decouple; early supplier involvement, and a mirrored product and SCC life cycle perspective are the three causal linkages which enable mirroring of PM and SCCM post product launch. The SLR identified the use of co-development (CD), feedback (FC) and feedforward anticipatory control (FAC) at concept design to increase the mirroring of PM and SCCM, post product launch. In project three hypotheses were tested which advocate the use of these mechanisms, and the associated underlying mechanisms were investigated. The findings indicate use of CD and FAC, but a lack of FC, and mirroring support for platform design. The contribution to practice is an intervention framework applied at the concept stage that improves the coordination between NPD, SCC and product planning for new to market products

Developing a Solution for Multimedia Home Networking

In recent years, the rapid development of electronics and computer science has enabled home networking devices to become more affordable and more powerful. Several widely used multimedia-streaming solutions have become available in the market. However, as a result of their different technical designs, these standards naturally experience serious compatibility issues. Thus, end users can have several multimedia devices, with each one using a distinctive, unique protocol, making it challenging or even impossible sometimes to share media between those devices. These compatibility issues have motivated the need to determine the technological features common to the existing multimedia-streaming standards and to develop a more easy-to-use multimedia home networking solution. This thesis compares the modern solutions for multimedia home networking (MHN), including AirPlay, Miracast, Chromecast, and especially the Digital Living Network Alliance (DLNA) standard due to its wide adoption. By conducting research on the features and capabilities of these existing solutions, a suitable mobile solution for MHN, which takes advantage of AirPlay, Discovery and Launch (DIAL), and DLNA, is proposed for the Android platform. The corresponding system architectures, features, and analysis methodologies are also analyzed to demonstrate the competitiveness of this application. In terms of practical contribution, an online channel proxy was integrated to the application to fulfill the target of streaming online channels, such as YouTube. By implementing this online channel proxy, home networking and Internet resources can be effectively connected. Since its first release on the Google Play Store, the application received over one million downloads from 225 countries. According to the statistics, this solution has proved to be competitive and successful. In addition, this thesis discusses possible further development of this solution, and the future trends of multimedia home networking