pinecone/core-2020-05-10-deduplication huggingface dataset:
Autonomous vehicles in developing countries: a case study on user's view point in Pakistan

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41682-3.Technological advancements are continuously changing the human life. Like many other developments, autonomous vehicle system is attracting public interest and being widely discussed by all the stakeholders. Recent reports show that in future, autonomous vehicles or self-driving cars will be on roads in developed countries such as in UK and US. In this age of information technology, advancements made in developed countries not only move to the developing countries but also impact the opinions and lives of the people living in these countries. Therefore, there is a need to develop more effective strategies which can help the adaption of upcoming technologies in transport systems like autonomous vehicles. In this respect, user’s perception becomes highly significant as this can help designers by providing them the information about real time issues and human observations. Up till now, no significant work has been carried out on exploring the user’s perception about autonomous vehicles in developing countries like Pakistan. This study aims at capturing the user’s view point about the use of autonomous vehicles which can provide relevant information on perceived benefits and challenges in user’s perspective. An underlying objective is also to compare this perspective with developed countries like US, UK, and Australia etc. Findings of the study will help in assessing user’s perceptions in terms of challenges, the level of awareness and understanding about autonomous vehicles. It will lead to shaping up the strategies to address the needs of users so that more viable and equally acceptable technological interventions can be mad
Follow-the-Greens: The Controllers’ Point of View. Results from a SESAR Real Time Simulation with Controllers.

Although pilots are often supported by signage, markings and lighting when taxiing on the airport surface, navigation and monitoring remain workload intense tasks even in good weather conditions. Radio communication is near capacity limits on many airports today resulting in waiting times and delay. Apart from well-known safety issues this also constitutes a negative impact on the environment. The European aviation research program SESAR addressed this problem and came up with a solution: A new surface traffic management concept proposes the automated use of Airfield Ground Lighting with individually switched green taxiway centerline lights indicating the path to be followed. This paper presents official validation results indicating that SESAR developed a safer, quicker and greener surface traffic management concept
Eliciting Sustained Mental Effort Using the Toulouse N-Back Task: Prefrontal Cortex and Pupillary Responses

In safety-critical environments such as piloting or air-traffic control, the study of mental overload is crucial to further reduce accident rates. However, researchers face the complexity of inducing an important amount of mental effort in laboratory conditions. Therefore, we designed a novel paradigm, named “Toulouse N-back Task” (TNT), combining the classical n-back task with a mathematical processing to replicate the multidimensional sustained high mental workload (MW) existing in many complex occupations. Instead of memorizing and comparing unique items, as in classical n-back task, participants have to memorize and to compare the results of mathematics operations. Twenty partic-ipants were tested with the TNT under three load factors (n = 0, 1, or 2) with functional Near-InfraRed Spectroscopy (fNIRS) and pupillary measurements. The results revealed that higher difficulty degraded the cognitive performance together with increased prefrontal oxygenation and an increase in pupil diameter. Hence, hemodynamic responses and pupil diameter were sensitive to different levels of TNT’s difficulty. This paradigm could serve as a viable alternative to the classical n-back task and enable the progressive increase of the difficulty, for example, to test “high performer” individuals
Aging Effects on Brain Efficiency in General Aviation Pilots

Understanding the effect of aging on brain efficiency and executive functions is important for high risk activities such as general aviation. In this study, ten private pilots in the age group 19-25 and ten in the 52-72 range completed the  spatial working memory (SWM) and spatial planning and reasoning (One Touch Stockings, OTS) from the Cambridge Neuropsychological Test Automated Battery. The change in deoxygenated and oxygenated hemogoblin (HbO2) was measured. Younger pilots were found to be more efficient in the SWM task than the older group, with a smaller change in HbO2 and greater performance gain. However, aging has no significant effect on the OTS task efficiency, with both groups performing equally well. Analysis also suggests that there may be an effect on change in HbO2 due to flight hours
Development of a human factors roadmap for the successful implementation of industrial human-robot collaboration

Published by Springer. The final publication is available at Springer via http://dx.doi.org/DOI:10.1007/978-3-319-41697-7_18
Please refer to any applicable publisher terms of use.The concept of industrial human-robot collaboration (HRC) is becoming increasingly integrated into manufacturing production lines as a means for enhancing productivity and product quality. However, developments have focused primarily on the technology and, until recently, little research has been geared to understand the key human factors (HF) that need to be considered to enable successful implementation of industrial HRC. Recent work by the authors has led to the identification of key organisational and individual level HF. The purpose of this paper is to draw together the evidence from their studies and propose a HF roadmap for the successful implementation of industrial HRC. The roadmap will have profound implications as it enables automation specialists and manufacturing system engineers to understand the key HF that need to be considered optimise the efficiency and productivity of the collaboration between humans and industrial robots
Investigating the effects of signal light position on human workload and reaction time in human-robot collaboration tasks

Critical to a seamless working relationship in human-robot collaborative environments is effective and frequent communication. This study looked to assess whether placing a light source on a robot was more effective for informing the human operator of the status of the robot than conventional human-machine interfaces for industrial system signaling such as light towers. Participants completed an assembly task while monitoring a robot and changes to the light sources: either from one of two light towers or LED strip lights attached to the robot. Workload was assessed by measuring reaction times to light changes and by counting number of completed assemblies. Although both the ANOVA and Friedman tests returned none significant results, total misses per condition showed that the participants did not miss any of the robot lights, whereas signals were missed for the light towers
Gesture detection towards real-time ergonomic analysis for intelligent automation assistance

Manual handling involves transporting of load by hand through lifting or lowering and operators on the manufacturing shop floor are daily faced with constant lifting and lowering operations which leads to Work-Related Musculoskeletal Disorders. The trend in data collection on the Shop floor for ergonomic evaluation during manual handling activities has revealed a gap in gesture detection as gesture triggered data collection could facilitate more accurate ergonomic data capture and analysis. This paper presents an application developed to detect gestures towards triggering real-time human motion data capture on the shop floor for ergonomic evaluations and risk assessment using the Microsoft Kinect. The machine learning technology known as the discrete indicator—precisely the AdaBoost Trigger indicator was employed to train the gestures. Our results show that the Kinect can be trained to detect gestures towards real-time ergonomic analysis and possibly offering intelligent automation assistance during human posture detrimental tasks
Group support systems features and their contribution to technology strategy decision-making: A review and analysis

Collective decision-making processes require careful design considerations in organizations. On one hand, the inclusion of a greater number of actors contribute to a wider knowledge base, on the other, it can become a diffuse process and be distorted from the principles initially established. This paper observes a specific collective decision making process in organizations—technology strategy formulation—and, through a critical review of the literature, analyzes how the advances in features of group support systems support improvements in different stages of this process. This paper also discusses the implications of GSS appropriation in group dynamics.This research was supported by Fundação para a Ciência e Tecnologia (SFRH/ BD/ 33727/ 2009), within the framework of the MIT Portugal Program.info:eu-repo/semantics/publishedVersio
Competence-based Education and Educational Effectiveness

The chapter assesses the empirical evidence for outcomes of competence-based education which are envisaged by policy-makers, and gives some interpretations of how the topic is handled in the political processes. This is achieved by a review of the research literature as documented in bibliographical databases which cover academic publications and in more practical material. The searches were generic, and included not only specific competence-expressions, but also terms as ‘outcomes’ and ‘learning’. The staggering conclusion of this exercise is that there is hardly any evidence for the effectiveness of competence-based education despite the long period since the 1970s when the approach came up in the US. Whether this is an artefact of the operationalization of the outcomes of competence-based education or not, it seems that there is only very little attention to testing the policy-assumptions that competence-based education is a worthy educational innovation. As this is quite disturbing, it is recommended that more efforts are being made to prove (or falsify) the putative added value of competence-based education initiatives
Extracting Formal Models from Normative Texts

Normative texts are documents based on the deontic notions of obligation,
permission, and prohibition. Our goal is to model such texts using the C-O
Diagram formalism, making them amenable to formal analysis, in particular
verifying that a text satisfies properties concerning causality of actions and
timing constraints. We present an experimental, semi-automatic aid to bridge
the gap between a normative text and its formal representation. Our approach
uses dependency trees combined with our own rules and heuristics for extracting
the relevant components. The resulting tabular data can then be converted into
a C-O Diagram
Virtual Worlds and the 3D Web – time for convergence?

Multi-User Virtual Worlds (MUVW) such as Open Wonderland and OpenSim have proved to be fruitful platforms for innovative educational practice, supporting exploratory learning and generating true engagement. However, when compared with the way educational activities have flourished through the use of the constantly evolving WWW, MUVW learning environments remain a relatively obscure niche. Since the advent and promise of Second Life more than twelve years ago there has been no critical mass reached and no movement towards standardisation. Concomitantly, the 3D Web has emerged as a recognisable if loosely defined concept. With the advent of technologies such as WebGL and a plethora of plug-in 3D viewers for web browsers, the question arises: will MUVWs converge with the 3D Web? If so, can existing educational content be migrated to the 3D Web for mass dissemination? The paper contributes a survey of 3D Web and MUVW terms, concepts, technologies and projects, illustrating their similarities, their value for education and discusses the likelihood of convergence. The survey is complemented by a cultural heritage case study of Unity 3D support for the deployment of virtual worlds in web browsers using two different approaches.Postprin
Virtual Reality for early education : a study

This paper investigates the use of Virtual Reality (VR) as a tool for cultural heritage learning, using St Andrews Cathedral as the subject matter. As part of a module focused on local history, first year secondary school pupils in a school in the town of St Andrews took part in virtual tours of the Cathedral as it stood in the 14th Century using the Samsung Gear VR, Google Cardboard, Oculus Rift, computer screen and Xbox controller, and answered questions aimed to elicit their experiences with the various systems. The system design and implementation is presented and the findings, observations and lessons learnt from the study are discussed.Postprin
Robot-aided cloth classification using depth information and CNNs

The final publication is available at link.springer.comWe present a system to deal with the problem of classifying garments from a pile of clothes. This system uses a robot arm to extract a garment and show it to a depth camera. Using only depth images of a partial view of the garment as input, a deep convolutional neural network has been trained to classify different types of garments.\ud
The robot can rotate the garment along the vertical axis in order to provide different views of the garment to enlarge the prediction confidence and avoid confusions. In addition to obtaining very high classification scores, compared to previous approaches to cloth classification that match the sensed data against a database, our system provides a fast and occlusion-robust solution to the problem.Peer ReviewedPostprint (author's final draft
Research on Teaching and Learning Mathematics at the Tertiary Level:State-of-the-art and Looking Ahead

This topical survey focuses on research in tertiary mathematics education, a field that has experienced considerable growth over the last 10 years. Drawing on the most recent journal publication as well as the latest advances from recent high quality conference proceedings, our review culls out the following five emergent areas of interest: mathematics teaching at the tertiary level; the role of mathematics in other disciplines; textbooks, assessment and students’ studying practices; transition to the tertiary level; and theoretical-methodological advances. We conclude the survey with a discussion of some potential ways forward for future research in this new and rapidly developing domain of inquiry
Semantic aware Bayesian network model for actionable knowledge discovery in linked data

The majority of the conventional mining algorithms treat the mining process as an isolated data-driven procedure and overlook the semantic of the targeted data. As a result, the generated patterns are abundant and end users cannot act upon them seamlessly. Furthermore, interdisciplinary knowledge can not be obtained from domain-specific silo of data. The emergence of Linked Data (LD) as a new model for knowledge representation, which intertwines data with its semantics, has introduced new opportunities for data miners. Accordingly, this paper proposes an ontology-based Semantic-Aware Bayesian network (BN) model. In contrast to the existing mining algorithms, the proposed model does into transform the original format of the LD set. Therefore, it not only accommodates the semantic aspects in LD, but also caters to the need of connecting different data-sets from different domains. We evaluate the proposed model on a Bone Dysplasia dataset, Experimental results show promising performance
Example-based generation of graphical modelling environments

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-42061-5_7Domain-Specific Languages (DSLs) present numerous benefits like powerful domain-specific primitives, an intuitive syntax for domain experts, and the possibility of advanced code generation for narrow domains. While a graphical syntax is sometimes desired for a DSL, constructing graphical modelling environments is a costly and highly technical task. This relegates domain experts to play a passive role in their development and hinders a wider adoption of graphical DSLs. Targeting a simpler DSL construction process, we propose an example based technique for the automatic generation of modelling environments for graphical DSLs. This way, starting from examples of the DSL likely provided by domain experts using drawing tools like yED, our system is able to synthesize a graphical modelling environment that mimics the syntax of the provided examples. This includes a meta-model for the abstract syntax of the DSL, and a graphical concrete syntax supporting spatial relationships like containment or attachment. The system is implemented as an Eclipse plugin, and we demonstrate its usage on a running example in the home networking domain.Work supported by the Spanish Ministry of Economy and Competitivity (TIN2014-52129-R), the Madrid Region (S2013/ICE-3006), and the EU Commission (FP7-ICT-2013-10, #611125)
Using ATL transformation services in the MDEForge collaborative modeling platform

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-42064-6_5In the last years, the increasing complexity of Model-Driven Engineering
(MDE) tools and techniques has led to higher demands in terms of computation,
interoperability, and configuration management. Harnessing the softwareas-
a-service (SaaS) paradigm and shifting applications from local, mono-core implementations
to cloud-based architectures is key to enhance scalability and flexibility.
To this end, we propose MDEForge: an extensible, collaborative modeling
platform that provides remote model management facilities and prevents the user
from focussing on time-consuming, and less creative procedures. This demo paper
illustrates the extensibility of MDEForge by integrating ATL services for the
remote execution, automated testing, and static analysis of ATL transformations.
The usefulness of their employment under the SaaS paradigm is demonstrated
with a case-study showing a wide range of new application possibilities.Work supported by the Spanish MINECO (TIN2014-52129-R), the Madrid Region (S2013/ICE-3006), and the EU commission (#611125
The Continuum Limit of Causal Fermion Systems

This monograph introduces the basic concepts of the theory of causal fermion
systems, a recent approach to the description of fundamental physics. The
theory yields quantum mechanics, general relativity and quantum field theory as
limiting cases and is therefore a candidate for a unified physical theory. From
the mathematical perspective, causal fermion systems provide a general
framework for describing and analyzing non-smooth geometries and "quantum
geometries." The dynamics is described by a novel variational principle, called
the causal action principle.
  In addition to the basics, the book provides all the necessary mathematical
background and explains how the causal action principle gives rise to the
interactions of the standard model plus gravity on the level of
second-quantized fermionic fields coupled to classical bosonic fields. The
focus is on getting a mathematically sound connection between causal fermion
systems and physical systems in Minkowski space.
  The book is intended for graduate students entering the field, and is
furthermore a valuable reference work for researchers in quantum field theory
and quantum gravity.Comment: 457 pages, 11 figures, minor improvement
Improving efficiency of a multistart with interrupted hooke-and-jeeves filter search for solving MINLP problems

This paper addresses the problem of solving mixed-integer nonlinear programming (MINLP) problems by a multistart strategy that invokes a derivative-free local search procedure based on a filter set methodology to handle nonlinear constraints. A new concept of componentwise normalized distance aiming to discard randomly generated points that are sufficiently close to other points already used to invoke the local search is analyzed. A variant of the Hooke-and-Jeeves filter algorithm for MINLP is proposed with the goal of interrupting the iterative process if the accepted iterate falls inside an ϵ-neighborhood of an already computed minimizer. Preliminary numerical results are included.The authors wish to thank two anonymous referees for their comments and suggestions. This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia, within the projects UID/CEC/00319/2013 and UID/MAT/00013/2013.info:eu-repo/semantics/publishedVersio
Improving efficiency of a multistart with interrupted Hooke-and-Jeeves filter search for solving MINLP problems

Publicado em: "Computational science and its applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I". ISBN 978-3-319-42084-4This paper addresses the problem of solving mixed-integer
nonlinear programming (MINLP) problems by a multistart strategy that
invokes a derivative-free local search procedure based on a filter set
methodology to handle nonlinear constraints. A new concept of componentwise
normalized distance aiming to discard randomly generated
points that are sufficiently close to other points already used to invoke
the local search is analyzed. A variant of the Hooke-and-Jeeves filter
algorithm for MINLP is proposed with the goal of interrupting the iterative
process if the accepted iterate falls inside an  -neighborhood of an
already computed minimizer. Preliminary numerical results are included.FCT - Fundação para a Ciência e Tecnologia, within the projects UID/CEC/00319/2013 and UID/MAT/00013/2013.COMPETE: POCI-01- 0145-FEDER-00704
Direct sequential based firefly algorithm for the α-pinene isomerization problem

Publicado em: "Computational science and its applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I"The problem herein addressed is a parameter estimation
problem of the α-pinene process. The state variables of this bioengineering
process satisfy a set of differential equations and depend on a
set of unknown parameters. A dynamic system based parameter estimation
problem aiming to estimate the model parameter values in a way
that the predicted state variables best fit the experimentally observed
state values is used. A numerical direct method, known as direct sequential
procedure, is implemented giving rise to a finite bound constrained
nonlinear optimization problem, which is solved by the metaheuristic
firefly algorithm (FA). A Matlab programming environment is developed
with the mathematical model and the computational application
of the method. The results produced by FA, when compared to those of
the fmincon function and other metaheuristics, are competitive.COMPETE: POCI-01- 0145-FEDER-007043FCT - Fundação para a Ciência e Tecnologia, within the projects UID/CEC/00319/2013 and UID/MAT/00013/201