Miracle-dz/UniFAR-FTUs huggingface dataset:
Étude et contrôle des systèmes flexibles par amortissement variable

RESUME: Le projet s’inscrit dans une demarche pour le controle des amplitudes d’oscillations sur les pales d’eoliennes. Du fait des contraintes geometriques, le systeme devrait etre installe au niveau de la fixation en porte a faux de la pale. Un banc d’essais a ete concu de maniere a simuler l’effet qu’aurait un amortissement implante a la base de la pale. Pour des raisons de simplicite, les tests ont ete menes sur une plaque metallique. Le banc d’essais est compose d’une plaque vibrante metallique rectangulaire servant de systeme d’etude, de glissieres permettant le guidage de la plaque en porte a faux et le renvoi des efforts, d’une suspension comprenant un ressort et un amortisseur electrorheologique et d’un excitateur electromagnetique permettant d’appliquer une force au systeme sans imposer de position. Les essais ont porte sur le potentiel de l’amortisseur electrorheologique dans le controle des oscillations des structures en porte a faux et sur la capacite du banc d’essais a tester differentes architectures de controle. Les essais ont montre une bonne efficacite de l’amortisseur dans le controle des oscillations, avec des amplitudes similaires a la plaque encastree au reglage le plus dur et une reduction d’amplitude de 30% pour le reglage le plus souple. Ce chiffre devrait pouvoir etre augmente en redimensionnant plus finement le systeme au jour des resultats de la presente etude et en implementant une architecture de controle efficace. -- Mot(s) cle(s) en francais : Vibration, Amortissement, Electrorheologique, Eolien, Flottement, Banc d’essais. -- ABSTRACT: This project is a part of a project to control wind turbine blade’s vibrations. Because of geometric requirements, the control system would be installed at the blade cantilevered attachment. A test bench was designed to simulate that kind of damped system’s behaviour. To simplify the problem the tests were done on a metal plate. The test bench is made of a rectangular vibrating plate whose movements are studied. It is attached to slides guiding the system in cantilever and directing efforts vertically in the damper. The suspension is made of a spring and an electrorheological damper. An electromagnetic excitation mechanism is used to apply a force to the system without fixing position. The tests were done to determine the electrorheological damper’s potential for the cantilevered structures oscillations control. We also tried the test bench ability to use a variety of control architectures. The experiments showed the damper’s efficiency in controlling the oscillations. The oscillations amplitudes were reduced by 30 % between hard and soft damping. That number could be improved by using the actual results to improve the bench and control architecture. -- Mot(s) cle(s) en anglais : Vibration, Damping, Electrorheologic, Eolian, Flutter, Benchtest.
Transfer of Online Learning to Performance in Variable Application Environments

A variable learning application environment exists when learners of different organizations are presented with identical learning content, but are required to apply the newly learned competencies (knowledge, skills, abilities) in a workplace setting differently depending upon the organization’s resources, the general environment, or other characteristics. The variability in learning application environments often requires learners and organizations to expend additional resources to develop the specific competencies required in a particular organizational setting. The context learning strategy instructional methodology (CLIM) attempts to integrate the specific competencies required by the learner’s individual application environment into general competency training. The CLIM not only facilitates individual learning but enables the learner to learn specific job-task competencies for a particular organization. The CLIM design is presented and the first part of a two part study is presented to provide support for the design in an online learning training program.
A Guide to Security Metrics

The pressure is on. Various surveys indicate that over the past several years computer security has risen in priority for many organizations. Spending on IT security has increased significantly in certain sectors. As with most concerns that achieve high priority status with executives, computer security is increasingly becoming a focal point not only for investment, but also for scrutiny of return on that investment. In the face of regular, high-profile news reports of serious security breaches, security managers are m.
The Spring File System

The Spring File System supports cache coherent file data and attributes. It uses the virtual memory system to provide data caching and uses the operations provided by the virtual memory system to keep the data coherent. The file system consists of two types of file servers: ones that provide coherent access to files they export and ones that run on each Spring machine and provide caching of data for read and write operations, and has its own private protocol with the remote file servers to cache file attributes.
A decade of work on semantic concept detection from video: TRECVid’s contribution

We are interested in content-based tasks for visual media, especially video. Automatic assignment of semantic tags representing visual or multimodal concepts (“high-level features”) to video segments is a fundamental technology for filtering, categorization, browsing, search, and other video exploitation activities. Approaches based on using metadata, automatically recognised speech, image-image similarity, and object detection and matching all have their contributions but using semantic concepts is the one which is most scalable and has an interesting intersection with language. TRECVid is an annual benchmarking activity which has been on-going for 10 years [1]. It has focused on many tasks such as shot boundary detection, summarisation, and various forms of search. The 2012 running of TRECVid addressed 6 tasks, including Semantic INdexing (SIN) of video. The rationale for the SIN task is as follows. Given a test collection of video, a master shot reference, and a set of concept definitions, return for each concept a list of at most 2,000 shot IDs from the test collection ranked according to their likelihood of containing the concept. The data set is 291 hours of short videos with durations between 10 seconds and 3.5 minutes where there exists at least 4 positive samples of each concept. Of the 346 test concepts, a subset of 50, not known by participants at submission time, are manually judged. This task has run since the start of TRECVid and in 2012, the task is similar to previous years, except in scale. Previously, for the majority of participants the approach was to build independent concept detectors based on training a machine learning toolkit on a set of positive and negative example shots, using low-level features from the images, as described in [2]. To cater for this, a collaborative annotation of the concepts is carried out each year to build a concept bank on which to train classifiers. The TRECVid organizers also provide a set of relations between the concepts of two types: A implies B and A excludes B. Relations that can be derived by transitivity are not included. Participants are free to use the relations or not and submissions are not required to comply with them. Some of the more advanced methods from participants use the annotations of non-evaluated concepts and the ontology relations to improve the detection of the evaluated concepts.
Enhancing Social Communication and Belonging by Integrating TV Narrativity and Game-Play

This paper provides a brief overview of the workshop on Enhancing Social Communication and Belonging by Integrating TV Narrativity and Game-Play. Its main objective is to explore new forms of TV-mediated communication between groups of people (such as family and friends) separated by space and/or time that would lead to improving the maintenance and fostering of their social relationships and, ultimately, of their feeling of being together. The investigation considers three perspectives: sociocognitive – defining facets of the experience(s) of togetherness, when group interaction is mediated by the TV screen; system design – specifying requirements for TV-centric systems that support social interaction; system implementation – analysing enabling technologies.
Software Testing and Quality Assurance

Workshop 4 Non-compliances from ISO 90003 You will need to have had a look at ISO 90003 before the tutorial so that you can quickly find your way around the document. Consider each of the cases below and decide whether it is a non-compliance from the standard and, if so, give the clause number. If you believe that insufficient information is given, then state the clause that may be at risk and phrase a question that you would ask to clarify the matter.
Genetic Network Analysis Using F2DMatrix

Recent advances in DNA microarray technologies have made it possible to measure the expression levels of thousands of genes simultaneously under different conditions. The data obtained by microarray analysis are called expression profile data. Many researchers have tried to extract correlated genes from those data by clustering. However, if the genetic networks could be drawn, we are able to prioritize target genes for further analysis. So, several methods for identifying genetic network have been suggested, such as quantitative model [2], statistic model [1], hybrid model [5], Boolean model [1], and so on. The standard method for predicting genetic network has not yet been established. Most of past works tend to show their genetic network prediction ability by using artificial data, and few works were applied to the raw data (deletion strain data) for their analysis. In this paper, we report the genetic network prediction result of Fuzzy adaptive resonance theory 2D Matrix (F2DMatrix) method using experimentally obtained time series microarray data of oxidative stress in Saccharomyces cerevisiae.
Procesamiento de video digital: reconocimiento de patrones aplicado a la detección de key-frames

El video digital esta convirtiendose en el medio de comunicacion por excelencia, tanto en redes sociales y sitios de video a demanda, como en la inminente llegada de la Television Digital. En este trabajo se presenta una metodologia de reconocimiento de patrones aplicada a la deteccion de Key-Frames, cuya utilidad futura apunta tanto al tagging no supervisado de secuencias de video, como al reconocimiento de contenidos en el msimo. Presentamos los resultados preliminares de una aplicacion que por medio del algoritmo SURF permite evaluar diferencias sucesivas entre cuadros, y de esa manera seleccionar key frames candidatos para identificar tomas sucesivas. Esta idea fue testada con video en tiempo real, produciendo resultados satisfactorios.
Imaging Optics

This comprehensive and self-contained text presents the fundamentals of optical imaging from the viewpoint of both ray and wave optics, within a single volume. Comprising three distinct parts, it opens with an introduction to electromagnetic theory, including electromagnetic diffraction problems and how they can be solved with the aid of standard numerical methods such as RCWA or FDTD. The second part is devoted to the basic theory of geometrical optics and the study of optical aberrations inherent in imaging systems, including large-scale telescopes and high-resolution projection lenses. A detailed overview of state-of-the-art optical system design provides readers with the necessary tools to successfully use commercial optical design software. The ﬁnal part explores diffraction theory and concludes with vectorial wave propagation, image formation and image detection in high-aperture imaging systems. The wide-ranging perspective of this important book provides researchers and professionals with a comprehensive and rigorous treatise on the theoretical and applied aspects of optical imaging
Adaptive energy functions and efficient graph-based optimization for deformable image registration

Deformable registration, the task of bringing two images into spatial correspondence, is a prerequisite step in many medical image analysis problems, including multi-modal image fusion, multi-temporal image analysis, atlas construction, and atlas-based segmentation. An increasingly popular approach is to cast the registration task as a graph-labelling problem and solve the problem via discrete optimization, which allows for efficient and robust registration. In this thesis, we advance registration methods in the graph-based paradigm by developing strategies to increase the model fidelity of various registration objectives and to perform their optimizations more efficiently. Specifically, we propose different ways to adapt image similarity and regularization by leveraging prior knowledge, information learned from previous examples, and information derived solely from the given input data. To reduce the computational complexity of the optimization without compromising accuracy, we also present various schemes that use contextual information or prior knowledge to conduct the solution search efficiently. To this end, we have applied our proposed methods to various deformable registration problems, as well as shape matching and contour tracking tasks with demonstrated success.
Distributed Support Vector Machine Learning

Support Vector Machines (SVMs) are used for a growing number of applications. A fundamental constraint on SVM learning is the management of the training set. This is because the order of computations goes as the square of the size of the training set. Typically, training sets of 1000 (500 positives and 500 negatives, for example) can be managed on a PC without hard-drive thrashing. Training sets of 10,000 however, simply cannot be managed with PC-based resources. For this reason most SVM implementations must contend with some kind of chunking process to train parts of the data at a time (10 chunks of 1000, for example, to learn the 10,000). Sequential and multi-threaded chunking methods provide a way to run the SVM on large datasets while retaining accuracy. The multi-threaded distributed SVM described in this thesis is implemented using Java RMI, and has been developed to run on a network of multi-core/multiprocessor computers.
Typeface Legibility: Towards defining familiarity

The aim of the project is to investigate the influence of fa- miliarity on reading. Three new fonts were created in order to examine the familiarity of fonts that readers could not have seen before. Each of the new fonts contains lowercase letters with fa- miliar and unfamiliar skeleton variations. The different skeleton variations were tested with distance threshold and time thresh- old methods in order to account for differences in visibility. This investigation helped create final typeface designs where the fa- miliar and unfamiliar skeleton variations have roughly similar and good performance. The typefaces were later applied as the test material in the familiarity investigation. Some typographers have proposed that familiarity means the amount of time that a reader has been exposed to a typeface design, while other typographers have proposed that familiarity is the commonalities in letterforms. These two hypotheses were tested by measuring the reading speed and preference of partici- pants, as they read fonts that had either common or uncommon letterforms, the fonts were then re-measured after an exposure period. The results indicate that exposure has an immediate ef- fect on the speed of reading, but that unfamiliar letter features only have an effect of preference and not on reading speed. By combining the craftsmen’s knowledge of designing with the methods of experimental research, the project takes a new step forward towards a better understanding of how different type- faces can influence the reading process.
Improving the accuracy and robustness of genetic programming through expression simplification

Genetic Programming (GP) is clearly an inductive learning approach because the program discovered must reproduce the behavior of the desired program over all the input space, not just the space represented in the training examples [Koz92e], [Alt94]. When GP uses only consistency with the training examples as a guide, very large (bloated) programs can result that "overfit" the training examples and therefore perform poorly over the complete input space. To avoid this problem, the search process can be biased by applying Occam's razor to prefer simpler, smaller programs that are more likely to reproduce the desired program. This paper introduces a general way of doing this through expression simplification.
Techniques de menus : Caracterisation, Conception et Evaluation. (Menu Techniques: Characterization, Design and Evaluation)

Les menus permettent d'explorer et de selectionner les commandes d'une application. Ils sont presents dans la plupart des applications et concernent un large public. Les menus sont donc au cœur de l'Interaction Homme-Machine (IHM). Aussi, cet enjeu a motive de nombreux travaux en IHM : face au foisonnement de nouvelles techniques de menus, il n'est pas facile d'apprehender les avancees et de cerner les differences et similitudes entre les techniques de menus concues. Dans ce contexte, cette these en IHM propose un espace de conception des techniques de menus, appele MenUA. Cet espace repose sur une liste de criteres utiles pour structurer les travaux sur les menus et permettre aux concepteurs d'applications de faire des choix informes. MenUA facilite aussi l'exploration de l'espace des possibilites lors de la conception : il a ete a l'origine de quatre nouvelles techniques de menus que nous avons concues, developpees et evaluees : les Wave menus, les Flower menus, les Leaf menus et les Multi-Touch Menus. Les Wave menus ameliorent le mode novice des Marking menus en favorisant la navigation dans la hierarchie de commandes. En considerant la courbure des gestes de l'utilisateur, les Flower menus augmentent le nombre de commandes disponibles et ameliorent l'apprentissage du mode expert des Marking menus. Les Leaf Menus sont quant a eux des menus lineaires enrichis de raccourcis gestuels et concus pour etre utilises sur des dispositifs mobiles. Enfin, les Multi-Touch Menus exploitent la technologie multi-points des surfaces tactiles afin de naviguer et selectionner des commandes avec les cinq doigts de la main.
E-feedback focused on students' discussion to guide collaborative writing in online learning environments

We are convinced that the next excerpt is quite familiar to you: “I spend a lot of time detailing in the essay what students need to change, making suggestions and comments to improve their text but it seems that they don’t care about what I suggested. Does it really make sense to invest so much time when they really don’t implement these comments or changes into their texts? Is my feedback really useful for them? ”
An enhanced bandwidth balancing mechanism of the DQDB MAN

The bandwidth balancing (BWB) mechanism of the distributed queue dual bus (DQDB) protocol has several drawbacks, such as inefficiency of the priority scheme and unfairness in the multiple priority implementation. An enhanced BWB mechanism is proposed here to solve these problems. In the proposed mechanism, a separate BWB is applied to each priority level. Simulation indicates that the enhanced version not only may provide more efficient priority transmissions but may also offer fairer access opportunities among nodes. <<ETX>>
Proxy Prefix Caching for Multimedia Streams TITLE2

Proxies are emerging as an important way to reduce user-perceived latency and network resource requirements in the Internet. While relaying traffic between servers and clients, a proxy can cache resources in the hope of satisfying future client requests directly at the proxy. However, existing techniques for caching text and images are not appropriate for the rapidly growing number of continuous media streams. In addition, high latency and loss rates in the Internet make it difficult to stream audio and video without introducing a large playback delay. To address these problems, we propose that, instead of caching entire audio or video streams (which may be quite large), the proxy should store a {\em prefix\/} consisting of the initial frames of each clip. Upon receiving a request for the stream, the proxy immediately initiates transmission to the client, while simultaneously requesting the remaining frames from the server. In addition to hiding the latency between the server and the proxy, storing the prefix of the stream aids the proxy in performing {\em workahead smoothing\/} into the client playback buffer. By transmitting large frames in advance of each burst, workahead smoothing substantially reduces the peak and variability of the network resource requirements along the path from the proxy to the client. We describe how to construct a smooth transmission schedule, based on the size of the prefix, smoothing, and playback buffers, without increasing client playback delay. Through experiments with MPEG-1 and MPEG-2 traces, we show how a few megabytes of buffer space at the proxy can offer substantial reductions in the bandwidth requirements of variable-bit-rate video. Drawing on these results, we present guidelines for allocating buffer space for each stream, and how to effectively share buffer and bandwidth resources among multiple clients and streams.
Naq project, a practical approach to computer aided teaching and learning

The introduction and use of new technologies in the e-Learning field is not just about a structural process, scheduled and developed according to the right criteria. We must work on the educative contents, their creation process, features and objectives, because these are an essential part in the process that will lead us to increase the quality of learning. And, an important factor to consider is that these new technologies should be used for something else, like developing tools that help in the teaching-learning processes. Nowadays student profiles are far from what could be found a few years ago in the classrooms. Currently digital natives come to universities. These are students born during or after the introduction of digital technologies, used to interacting with technological devices from an early age. These students show great abilities to handle any digital tool, keyboards devices, digital-electronic pens, or touchscreens. For this reason, amongst others, the use of educative resources in the teaching-learning process can not be the same of past decades. Creation, distribution and use of educative content should make use of new technologies, digital format and internet. Since 1999 through Bologna Accords, the EHEA (European Higher Education Area) was launched. This initiative has been undertaken on 2010, and means a convergence process in the education field in Europe, creating a new reform of European university systems for a total of forty six countries. According to Encyclopedia Britannica, Computer Assisted Teaching is defined as a method of teaching using a personal computer to present material and guide a learner through a lesson, allowing freedom of navigation choice and providing the ability to bypass material already mastered. NAQ (Numerical Analysis Quizzes) is a Computer Aided Teaching and Computer Aided Learning tool. NAQ Project was born with the view to adapting the learning -on the side of studentsand the guide process -on the side of teachers-, of the subject Numerical Analysis to the objectives exposed in the EHEA proposal. This facilitates the monitoring of the teaching-learning process. This paper exposes the experience acquired in the creation, distribution and use of these interactive educative learning objects: numerical analysis quizzes. They have been developed for subjects of Numerical Analysis of various official degrees from the University of Las Palmas de Gran Canaria.