The new EFQM model: What is really new and could be considered as a suitable tool with respect to Quality 4.0 concept?

Purpose: The paper offers a set of original information based on critical analysis of description two last versions of excellence models presented by the European Organisation for Quality Management (EFQM). The principle goal is to present the main advantages and weaknesses of the latest version of The EFQM Model, especially from a practical point of view with respect to a Quality 4.0 era. Methodology/Approach: Comparative analysis of two relevant documents (EFQM, 2012; EFQM, 2019a) was used as a key method. Discussions with 18 quality professionals from Czech production organisations served as a complementary approach. Findings: The basic structure of a new model was completely changed. But the description of certain recommendations by way of guidance points are superficial and confusing. It lays stress on the necessity to transform organisations for the future as well as on comprehensive feedback from key stakeholders. Research Limitation/implication: The latest version of The EFQM Model was published in November 2019, and general knowledge related to this version is naturally limited. Published studies or publicly available experience completely absent. That is why a more in-depth literature review focused on the latest version of The EFQM Model could not be included in this text. Originality/Value of paper: The paper brings an original set of information that was not published yet before. The value of this set should be examined not only from theoretical but primarily from a practical viewpoint.Web of Science241281

Towards a kansei-based user modeling methodology for eco-design

We propose here to highlight the benefits of building a framework linking Kansei Design (KD), User Centered Design (UCD) and Eco-design, as the correlation between these fields is barely explored in research at the current time. Therefore, we believe Kansei Design could serve the goal of achieving more sustainable products by setting up an accurate understanding of the user in terms of ecological awareness, and consequently enhancing performance in the Eco-design process. In the same way, we will consider the means-end chain approach inspired from marketing research, as it is useful for identifying ecological values, mapping associated functions and defining suitable design solutions. Information gathered will serve as entry data for conducting scenario-based design, and supporting the development of an Eco-friendly User Centered Design methodology (EcoUCD).ANR-ECOUS

Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase

Abstract In various scenarios, the motion of a tracked object, for example, a pointing apparatus, pedestrian, animal, vehicle, and others, is driven by achieving a premeditated goal such as reaching a destination. This is albeit the various possible trajectories to this endpoint. This paper presents a generic Bayesian framework that utilizes stochastic models that can capture the influence of intent (viz., destination) on the object behavior. It leads to simple algorithms to infer, as early as possible, the intended endpoint from noisy sensory observations, with relatively low computational and training data requirements. This framework is introduced in the context of the novel predictive touch technology for intelligent user interfaces and touchless interactions. It can determine, early in the interaction task or pointing gesture, the interface item the user intends to select on the display (e.g., touchscreen) and accordingly simplify as well as expedite the selection task. This is shown to significantly improve the usability of displays in vehicles, especially under the influence of perturbations due to road and driving conditions, and enable intuitive contact-free interactions. Data collected in instrumented vehicles are shown to demonstrate the effectiveness of the proposed intent prediction approach.</jats:p

A double-edged sword: Use of computer algebra systems in first-year Engineering Mathematics and Mechanics courses

Many secondary-level mathematics students have experience with graphical calculators from high school. For the purposes of this paper we define graphical calculators as those able to perform rudimentary symbolic manipulation and solve complicated equations requiring very modest user knowledge. The use of more advanced computer algebra systems e.g. Maple, Mathematica, Mathcad, Matlab/MuPad is becoming more prevalent in tertiary-level courses. This paper explores our students’ experience using one such system (MuPad) in first-year tertiary Engineering Mathematics and Mechanics courses. The effectiveness of graphical calculators and computer algebra systems in mathematical pedagogy has been investigated by a multitude of educational researchers (e.g. Ravaglia et al. 1998). Most of these studies found very small or no correlation between student use of graphical calculators or exposure to computer algebra systems with future achievement in mathematics courses (Buteau et al. 2010). In this paper we focus instead on students’ attitude towards a more advanced standalone computer algebra system (MuPad), and whether students’ inclination to use the system is indicative of their mathematical understanding. Paper describing some preliminary research into use of computer algebra systems for teaching engineering mathematics

Aerodynamic drag improvements on a square-back vehicle at yaw using a tapered cavity and asymmetric flaps

Emissions of greenhouse gasses from passenger vehicles is a concern globally. One of the factors that influence the vehicles energy consumption is the aerodynamic drag, continuing to be an active topic of interest. This work investigates the vehicle wake in relation to aerodynamic drag in steady crosswind conditions.The vehicle used is a modified version of the generic Windsor geometry with wheels and a rearward-facing base cavity with nine angled surfaces, or flaps, distributed at the trailing edge of the cavity along the roof and sides. A surrogate model-based optimisation algorithm was used to minimise the drag coefficient by optimising the angle of each flap individually. The experiments were performed in the Loughborough University Large Wind Tunnel. The time-averaged and unsteady results of both the base pressures and tomographic Particle Image Velocimetry indicate that the optimised flap angles improve drag primarily by altering the wake balance. This is achieved by reducing the strength of a large leeward side vortex, reducing the crossflow within the wake

Black ads matter: an analysis of black representation in advertising.

During the summer of 2020 Black Lives Matter (BLM) became a rallying cry throughout the United States and the world. At that time, many individuals and organizations reflected on how they could better support the movement for equality, equity, and inclusion, but some of the results were ingenuine, perceived as virtue signaling or woke washing. In this thesis I explore the Black representation in advertising from three prominent car brands from both pre- and post-summer 2020. I analyze ads from Acura, Buick, and Lincoln to determine if they are synergistic and include multi-dimensional Black representation, criteria Burgess et al.’s (2020) set for audience connectedness. To measure synergy, I assess the ad elements and offer a new perspective that considers how ad elements that include Black representation work together to create a message about diversity. I discuss the implications of Black representation, or the lack thereof, using congruity theory and social cognitive theory to determine the impacts on both sales and society

Identifying Lung Cancer Using CT Scan Images Based On Artificial Intelligence

Lung cancer appears to be the common reason behind the death of human beings at some stage on the planet. Early detection of lung cancers can growth the possibility of survival amongst human beings. The preferred 5-years survival rate for lung most cancers sufferers will increase from 16% to 50% if the disease is detected in time. Although computerized tomography (CT) is frequently more efficient than X-ray. However, the problem regarded to merge way to time constraints in detecting this lung cancer concerning the numerous diagnosing strategies used. Hence, a lung cancer detection system that usage of image processing is hired to categorize lung cancer in CT images. In image processing procedures, procedures like image pre-processing, segmentation, and have extraction are mentioned intimately. This paper is pointing to set off the extra precise comes approximately through making use of distinctive improve and department procedures. In this proposal paper, the proposed method is built in some filter and segmentation that pre-process the data and classify the trained data. After the classification and trained WONN-MLB method is used to reduce the time complexity of finding result. Therefore, our research goal is to get the maximum result of lung cancer detection

Enabling Auditing and Intrusion Detection of Proprietary Controller Area Networks

The goal of this dissertation is to provide automated methods for security researchers to overcome ‘security through obscurity’ used by manufacturers of proprietary Industrial Control Systems (ICS). `White hat\u27 security analysts waste significant time reverse engineering these systems\u27 opaque network configurations instead of performing meaningful security auditing tasks. Automating the process of documenting proprietary protocol configurations is intended to improve independent security auditing of ICS networks. The major contributions of this dissertation are a novel approach for unsupervised lexical analysis of binary network data flows and analysis of the time series data extracted as a result. We demonstrate the utility of these methods using Controller Area Network (CAN) data sampled from passenger vehicles

Structural Transformation in South Africa: The Challenges of Inclusive Industrial Development in a Middle-Income Country

Taking South Africa as an important case study of the challenges of structural transformation, the book offers a new micro-meso level framework and evidence linking country-specific and global dynamics of change, with a focus on the current challenges and opportunities faced by middle-income countries. Detailed analyses of industry groupings and interests in South Africa reveal the complex set of interlocking country-specific factors which have hampered structural transformation over several decades, but also the emerging productive areas and opportunities for structural change. The structural transformation trajectory of South Africa presents a unique country case, given its industrial structure, concentration, and highly internationalized economy, as well as the objective of black economic empowerment. The book links these micro-meso dynamics to the global forces driving economic, institutional, and social change. These include digital industrialization, global value-chain consolidation, financialization, and environmental and other sustainability challenges which are reshaping structural transformation dynamics across middle-income countries like South Africa. While these new drivers of change are disrupting existing industries and interests in some areas, in others they are reinforcing existing trends and configurations of power. The book analyses the ways in which both the domestic and global drivers of structural transformation shape—and, in some cases, are shaped by—a country’s political settlement and its evolution. By focusing on the political economy of structural transformation, the book disentangles the specific dynamics underlying the South African experience of the middle-income country conundrum. In so doing, it brings to light the broader challenges faced by similar countries in achieving structural transformation via industrial policies

Structural Transformation in South Africa

Taking South Africa as an important case study of the challenges of structural transformation, the book offers a new micro-meso level framework and evidence linking country-specific and global dynamics of change, with a focus on the current challenges and opportunities faced by middle-income countries. Detailed analyses of industry groupings and interests in South Africa reveal the complex set of interlocking country-specific factors which have hampered structural transformation over several decades, but also the emerging productive areas and opportunities for structural change. The structural transformation trajectory of South Africa presents a unique country case, given its industrial structure, concentration, and highly internationalized economy, as well as the objective of black economic empowerment. The book links these micro-meso dynamics to the global forces driving economic, institutional, and social change. These include digital industrialization, global value-chain consolidation, financialization, and environmental and other sustainability challenges which are reshaping structural transformation dynamics across middle-income countries like South Africa. While these new drivers of change are disrupting existing industries and interests in some areas, in others they are reinforcing existing trends and configurations of power. The book analyses the ways in which both the domestic and global drivers of structural transformation shape—and, in some cases, are shaped by—a country’s political settlement and its evolution. By focusing on the political economy of structural transformation, the book disentangles the specific dynamics underlying the South African experience of the middle-income country conundrum. In so doing, it brings to light the broader challenges faced by similar countries in achieving structural transformation via industrial policies