859 research outputs found
Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5
This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered.
First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes.
Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification.
Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well
Academic writing for IT students
This textbook is intended for Master and PhD Information Technology students (B1-C1 level of English proficiency). The instructions of how to write a research paper in English and the relevant exercises are given. The peculiarities of each section of a paper are presented. The exercises are based on real science materials taken from peer-reviewed journals. The subject area covers a wide scope of different Information Technology domains
30th European Congress on Obesity (ECO 2023)
This is the abstract book of 30th European Congress on Obesity (ECO 2023
A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness
People increasingly use videos on the Web as a source for learning. To
support this way of learning, researchers and developers are continuously
developing tools, proposing guidelines, analyzing data, and conducting
experiments. However, it is still not clear what characteristics a video should
have to be an effective learning medium. In this paper, we present a
comprehensive review of 257 articles on video-based learning for the period
from 2016 to 2021. One of the aims of the review is to identify the video
characteristics that have been explored by previous work. Based on our
analysis, we suggest a taxonomy which organizes the video characteristics and
contextual aspects into eight categories: (1) audio features, (2) visual
features, (3) textual features, (4) instructor behavior, (5) learners
activities, (6) interactive features (quizzes, etc.), (7) production style, and
(8) instructional design. Also, we identify four representative research
directions: (1) proposals of tools to support video-based learning, (2) studies
with controlled experiments, (3) data analysis studies, and (4) proposals of
design guidelines for learning videos. We find that the most explored
characteristics are textual features followed by visual features, learner
activities, and interactive features. Text of transcripts, video frames, and
images (figures and illustrations) are most frequently used by tools that
support learning through videos. The learner activity is heavily explored
through log files in data analysis studies, and interactive features have been
frequently scrutinized in controlled experiments. We complement our review by
contrasting research findings that investigate the impact of video
characteristics on the learning effectiveness, report on tasks and technologies
used to develop tools that support learning, and summarize trends of design
guidelines to produce learning video
Extracting innovation: an integrated material and experimental analysis of early distillation technology and its characterisation in South-Central Asia
In considering the position of technology within contemporary society, the concept of ‘innovation’ is integral in the creation of national, regional, and global narratives. This thesis addresses how early distillation - the selective evaporation and condensation of mixed substances - has been identified from archaeological evidence in South-Central Asia and associated with dialogues on the ‘Hellenistic East’ that are tied to traditional views on the influence of ancient Greek cultural and scientific innovations. The emergence of distillation marks a changing understanding of material properties, encompassing ideas on extraction, purification, and essences, and historically connected to proto-chemical explorations of matter. Yet primarily, distillation has been researched through a distinctly technically-led framework of explanation and empiricism. This thesis, therefore, challenges the widespread reconstruction of the ‘Gandhāra still’ as a key component within global chartings of distillation technology, used intermittently to both indicate processes of Hellenisation in South-Central Asia, but also reject ancient Greek origins for early distillation. First noted as 4th c. BCE – 4th c. CE ceramic remains from modern-day Pakistan, Afghanistan, and northern India, the characterisation of the ‘Gandhāra still and tradition’ is comprehensively evaluated in this thesis following recent reappraisals through a systematic material survey and targeted exploratory experimental studies. Results demonstrate how the ‘Gandhāra tradition’ and its constituent components are unlikely interpretations, both archaeologically and functionally, exemplifying how cultural concepts underpinning a limited view of ‘innovation’ have influenced interpretations of regional change, material classifications, and site function. Instead, through a holistic approach to technology, the body of analysis developed in this thesis reconsiders the technical practices and processes of innovation in early distillation by utilising insights gained from the experimental work. In doing so, an alternative view on the original ‘Gandhāra still’ archaeological evidence in South-Central Asia is presented that is distanced from its entrenched connection with distillation
Offene-Welt-Strukturen: Architektur, Stadt- und Naturlandschaft im Computerspiel
Welche Rolle spielen Algorithmen für den Bildbau und die Darstellung von Welt und Wetter in Computerspielen? Wie beeinflusst die Gestaltung der Räume, Level und Topografien die Entscheidungen und das Verhalten der Spieler_innen? Ist der Brutalismus der erste genuine Architekturstil der Computerspiele? Welche Bedeutung haben Landschaftsgärten und Nationalparks im Strukturieren von Spielwelten? Wie wird Natur in Zeiten des Klimawandels dargestellt? Insbesondere in den letzten 20 Jahren adaptieren digitale Spielwelten akribischer denn je Merkmale der physisch-realen Welt. Durch aufwändige Produktionsverfahren und komplexe Visualisierungsstrategien wird die Angleichung an unsere übrige Alltagswelt stets in Abhängigkeit von Spielmechanik und Weltlichkeit erzeugt. Wie sich spätestens am Beispiel der Open-World-Spiele zeigt, führt die Übernahme bestimmter Weltbilder und Bildtraditionen zu ideologischen Implikationen, die weit über die bisher im Fokus der Forschung stehenden, aus anderen Medienformaten transferierten Erzählkonventionen hinausgehen. Mit seiner Theorie der Architektur als medialem Scharnier legt der Autor offen, dass digitale Spielwelten medienspezifische Eigenschaften aufweisen, die bisher nicht zu greifen waren und der Erforschung harrten. Durch Verschränken von Konzepten aus u.a. Medienwissenschaft, Game Studies, Philosophie, Architekturtheorie, Humangeografie, Landschaftstheorie und Kunstgeschichte erarbeitet Bonner ein transdisziplinäres Theoriemodell und ermöglicht anhand der daraus entwickelten analytischen Methoden erstmals, die komplexe Struktur heutiger Computerspiele - vom Indie Game bis zur AAA Open World - zu verstehen und zu benennen. Mit "Offene-Welt-Strukturen" wird die Architektonik digitaler Spielwelten umfassend zugänglich
PLAYING-RELATED MUSCULOSKELETAL DISORDERS AMONG MUSIC STUDENTS IN EUROPE
Background and aims: The achievement and improvement of musical competences and technical abilities to reach the highest levels of performance may expose music students to a wide range of playing-related musculoskeletal disorders (PRMDs). The main aim of the present thesis was to longitudinally identify the factors associated with increased risk of PRMD onset among music students enrolled in different pan-European music institutions. Further goals were to determine the prevalence and incidence of PRMDs amongst music students during their training, as well as to describe and characterise the study population.
Methods: 850 students from 56 European conservatories and music universities completed a web-based questionnaire on lifestyle and physical activity participation levels, musical practice habits, behaviours toward prevention, health history and PRMDs, as well as psychological distress, perfectionism and fatigue. The onset of PRMDs was assessed prospectively at 6 and 12 months.
Results: At baseline, 560 participants (65.0%) self-reported a positive history of MSK complaints in the previous 12 months, 408 (48.0%) of whom self-reported PRMDs. Self-reported PRMDs were significantly associated with coming from West Europe (RRR=4.524; RRR>1), being a first- or a second-year Masters student (RRR=2.747; RRR>1), having more years of experience (RRR=1.040; RRR>1) and higher rates of perceived exertion after 45 minutes of practice without breaks (RRR=1.044; RRR>1). The incidences of PRMD onset at 6 and 12 months were 28.8% and 49.0%, respectively. Longitudinally, changes in physical activity level (both increase and decrease; 6-month AOR=2.343, 12-month-AOR=2.346; AOR>1), increased levels of fatigue (6-month AOR=1.084, 12-month-AOR=1.081; AOR>1) and increased level of socially-prescribed perfectionism (6-month AOR=1.102; AOR>1) were significantly associated with PRMD onset. The presence of MSK complaints at baseline (6-month AOR=0.145, 12-month-AOR=0.441; AOR<1), as well as changes to BMI and to levels of psychological distress (12-month AOR=0.663 and 0.914, respectively; AOR<1) retarded the onset of PRMDs.
Conclusions: Cross-sectional and longitudinal findings showing high prevalence and incidence of PRMDs amongst music students, have been critically appraised as potential correlates, determinants and factors in the development of PRMDs. The findings offer contextualisation for revisiting contemporary evidence-based preventive strategies and optimisation of tailor-made interventions aimed at minimising the impact of PRMDs
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