Miracle-dz/UniFAR-FTUs huggingface dataset:
Générateur analogique chaotique intégré faible consommation

Dans le cadre de la formation a l’ISEN Toulon, les etudiants de premiere annee de Master ont pour mission de realiser un projet sur une duree de 300h. Ce projet a eu pour vocation premiere la realisation d’un produit en utilisant les outils d’aide a la simulation proposes par le CNFM, mais egalement les outils de gestion de projets. Dans ce cadre, les etudiants encadres par des enseignants-chercheurs de differents sites (ISEN Toulon, Polytech’Marseille, le Laboratoire IM2NP, l’EMSE), ont developpe une source aleatoire integree faible consommation. La conception a ete realisee par les etudiants sur le site de l’ISEN Toulon et Polytech Marseille et les tests securitaires ont ete effectues sur le site de l’Ecole des Mines de Saint Etienne, a Gardanne. Ce projet multi site est une reelle plus-value pour les etudiants comme pour les encadrants.
Some numerical results on the influence of measurement strategies and load patterns in the EIT inverse problem

It is well known that the Electrical Impedance Tomography reconstructed images are very sensitive to noise in the electrical potential measures at the external boundary of the domain. Furthermore, there are a variety of strategies to inject current and measure these values. Thus, the aim of this work is to verify how much some of these strategies affect the quality of the reconstructed image and the sensitivity of each strategy to the existence of noise in the measured data. For a known position and shape of a single homogeneous inclusion inside a conductor domain, measured data is numerically simulated by the forward problem solution via Boundary Element Method (BEM). Sixteen electrodes placed at the outer boundary of the domain are used with different load patterns and measurement strategies to obtain the exact data for the numerical experiments. In order to simulate noisy data, Additive White Gaussian Noise proportional to the exact measured value is used on each potential measure. The inverse problem is treated as a data fitting problem solved via Levenberg-Marquardt method, that minimizes the difference between measures data and computed potential values. The coordinates of the control points of a spline function that defines the boundary of the inclusion are used as minimization parameters. In each step of this procedure, the computed potential values are obtained via BEM. The identification of inclusions of different sizes, shapes and positions is presented allowing some conclusions about the influence of the studied parameters.
Miniature x-ray tubes: current state and future prospects

Over the last decade, field emission miniature x-ray tubes emerged as cutting-edge applications of nanotechnology, possessing massive potential for use in various important fields, including that of precision medical therapy. The article essentially presents a review of such new devices reported in the literature. Additional discussions on the necessity of stabilizing the electron beam that generates x-rays are also included, and a simple technique for minimizing the current fluctuations is described. It is also pointed out that further miniaturization of field emission x-ray sources may need new concepts in designing the tube in shapes acting as ``self focusing'' structures for the electron beams.
A generic broadband matching network synthesizer using real frequency technique

A CAD matching network synthesizer using a parametric approach of real frequency technique is designed and implemented in this paper. The parametric approach we implemented is based on the real frequency direct computational technique (RFDT) in terms of its expression of the transducer power gain, but with improved computational time and numerical stability because the immittance function of the lossless equalizer is modeled using a parametric Brune function. This approach inherits all the merits of the RFDT, and hence can provide optimized solutions for both double and single matching problems. User also has the option to define the topology of the desirable matching network. The designed synthesizer is then implemented to solve a double matching problem utilizing various topologies. The effectiveness of designed matching networks is verified in ADS (advanced design system) simulation and different topologies are compared.
Recent developments on techniques for differential phase imaging at the medical beamline of ELETTRA

Over the last decade different phase contrast approaches have been exploited at the medical beamline SYRMEP of the synchrotron radiation facility Elettra in Trieste, Italy. In particular special focus has been drawn to analyzer based imaging and the associated imaging theory and processing. Analyzer based Imaging (ABI) and Diffraction Enhanced Imaging (DEI) techniques have been successfully applied in several biomedical applications. Recently it has been suggested to translate the acquired knowledge in this field towards a Thomson Backscattering Source (TBS), which is presently under development at the Frascati National Laboratories of INFN (Istituto Nazionale di Fisica Nucleare) in Rome, Italy. Such source is capable of producing intense and quasi-monochromatic hard X-ray beams. For the technical implementation of biomedical phase imaging at the TBS a grating interferometer for differential phase contrast imaging has been designed and successfully tested at SYRMEP beamline.
How to build up the high linearity SQIF structure

The synthesis of SQIF structures capable of providing highly linear voltage response has been studied in detail. It has been shown that the high linearity SQIF structure ought to involve a set of the connected in series arrays which provide periodic triangular voltage responses with different periods. Such a SQIF shows voltage response characterized by a single high-amplitude triangular peak. One has proposed the basic array structures implementing interferometer cells with cosine-like voltage response. The array response linearity dependence on number of the cells has been studied by means of the spectrum analysis technique. The synthesized SQIF structure allows designing of wide-band high-linear amplifiers for gigahertz frequency range. A travelling wave amplifier design is suggested to avoid limitations resulting from distributive character of the long series array.
Crystallization monitoring by thermal-lens spectrometry

This work considers the application of thermal-lens spectrometry to the monitoring of the crystallization processes in aqueous solutions. Formation of a crystalline germ in a previously homogeneous medium drastically changes the heat and mass transfer along the laser beam path; thus, affecting both equilibrium and time-resolved thermal-lens phenomena. It is shown that long-term oscillations of the steady-state thermal-lens signal could be associated with the formation and growth of the crystal germ. The preliminary estimation of the minimal germ size detectable from this data gives the limit at the level of 300 nm.
Comparative Analysis of Si- and GaN-Based Single-Phase Transformer-Less PV Grid-Tied Inverter

Recently, the interest in grid-tied PV transformer-less inverters has increased rapidly, because of their higher efficiency and lower cost compared to traditional line transformer inverters. This paper presents a new modified transformer-less topology derived from H5 inverter, and provides a detailed comparison between the use of GaN and Si devices for the proposed topology. Detailed operation modes, inverter structure and switching strategy of the proposed topology are presented. Datasheet information, conduction losses, switching losses, and heat sink requirements are studied and analyzed to provide an accurate comparison between GaN and Si power devices for the proposed topology operating at unity power factor. The results show that, GaN power devices significantly reduce the power losses in the system, which consequently allow a significant increase in either inverter power rating or switching frequency. Thus, the use of GaN power devices for the proposed inverter can be more appealing and cost-effective approach.
Water constraints on European power supply under climate change: impacts on electricity prices

Recent warm, dry summers showed the vulnerability of the European power sector to low water availability and high river temperatures. Climate change is likely to impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power production. Here, we show the impacts of climate change and changes in water availability and water temperature on European electricity production and prices. Using simulations of daily river flows and water temperatures under future climate (2031–2060) in power production models, we show declines in both thermoelectric and hydropower generating potential for most parts of Europe, except for the most northern countries. Based on changes in power production potentials, we assess the cost-optimal use of power plants for each European country by taking electricity import and export constraints into account. Higher wholesale prices are projected on a mean annual basis for most European countries (except for Sweden and Norway), with strongest increases for Slovenia (12–15%), Bulgaria (21–23%) and Romania (31–32% for 2031–2060), where limitations in water availability mainly affect power plants with low production costs. Considering the long design life of power plant infrastructures, short-term adaptation strategies are highly recommended to prevent undesired distributional and allocative effects.
Project Management Assurance in Agile Projects: Research in Progress

It is well known that many information technology (IT) systems development projects fail on one or more of the key criteria of cost, time and functionality. To manage the inherent complexity in IT projects and to provide methods for assessing project performance, we propose implementing an assurance process for IT projects projects specifically using Agile/Scrum principles and practices. Building on prior work by Khazanchi and Owens (2010), the assurance process accounts for the uniqueness of the project while assessing potential risk factors at each stage of the project life cycle. We use the case of a midsized Midwestern U.S. university to gather feedback about how the project management assurance framework might work in the Agile project management environment.
Novel bioinspired control approaches to increase the stiffness variability in multi-muscle driven joints

Antagonistic muscle pairs pulling on a joint are in general able to modulate stiffness through co-activation. Closer analysis of the stiffness, however, shows that, depending on the muscle and joint parameters, domains might occur in joint angle space for which stiffness variation is limited (low stiffness variability) or even impossible (stiffness nodes). As a consequence, stiffness control utilizing pure co-activation might fail. This work presents novel strategies for simultaneous control of torque and stiffness in a hinge joint actuated by two antagonistic muscle pairs. One strategy handles stiffness nodes by shifting them away from the current joint position and thus regaining stiffness controllability. To prevent domains of low stiffness variation, an optimal muscle configuration is sought and finally defined which allows for a maximal stiffness variation across a wide joint angle range. Based on this optimal configuration, four additional control strategies are proposed and tested which deliver stiffnesses and torques comparable to those obtained in the optimal case. The strategies combine torque control and stiffness control by co-activation with novel ideas like activation overflow and an inverse model approach. All strategies are tested in simulation and the results are compared with those of the optimal setup.
Priority-based hierarchical switching charging – discharging system for continuous bess sustainability

Integration of solar photovoltaic system with energy storage system such as batteries is always seen as a better way to utilize the available output power from renewable energies. Considering continuous sustainability using batteries, charging – discharging the batteries to store the excessive output from solar photovoltaic panels is an important aspect to be considered. Therefore, this paper proposes hierarchical switching charging – discharging system for continuous sustainability integrated together with solar photovoltaic system. The hierarchical switching charging – discharging system comprises of the hardware and software development. The typical design of the hardware structure is setup to integrate the consumable renewable energy source to the battery energy storage system and the load. The hierarchical charging – discharging strategy which is the embedded software is proposed to allow the charging – discharging control and switching between the dual and more battery energy storages. The hardware research and development results shows that the proposed strategy have effectively justify the developed system’s performances.
Recent developments on driver’s health monitoring and comfort enhancement through IoT

At present, many automakers are paying attention to develop vehicles with IoT enabled including healthcare, accident prevention, vehicle safety, driver safety, driver and passenger comfort, vehicle monitoring, etc. This paper focused on reviewing the recent developments in driver’s health and comfort monitoring through IoT. The literature review was performed with popular search engines/databases like PubMed, ScienceDirect, Elsevier Science, Scopus, and Google Scholar. The search was based on keywords like “Healthcare Monitoring”, “Seating Comfort”, “IoT developments”, “Smart Sensing”, “Embedded Sensors”, “Wearable Sensors”, “in-vehicle smart assistance”, “Autonomous Vehicle/Car”. Later, the articles were sorted out according to the relevance of this paper’s focus (i.e., driver’s health and comfort monitoring through IoT) by reading title, abstract, and full article. The results show that there have been many IoT based health and comfort monitoring developments concerning the vehicle. We have classified and summarised the developments as health monitoring through seat pan, seat back, seat belt, steering wheel, eye tracking and face tracking, and comfort monitoring/enhancement through smart seating, smart seat cushion, smart door module, smart air-bag, smart seat belt buckles. This survey would be giving in-depth knowledge on recent developments in the field of automotive and IoT.
Inland port vessel emissions inventory based on Ship Traffic Emission Assessment Model–Automatic Identification System

The designation of ship emission control areas in China evidenced increased attention to ship emissions. Ships calling ports along inland waterways are of particular concern as their emissions exacerbate air pollution in nearby cities. Adapting the Ship Traffic Emission Assessment Model to the local context, this study combines data from Automatic Identification System, vessel profile database, and field investigation results to build a “bottom-up” activity-based inventory of ship emissions. The Nanjing Longtan Container Port was taken as a case study. Results show that total ship emissions for PM10, PM2.5, NOx, SOx, CO, HC, and CO2 in 2014 are 3.45, 2.76, 196.00, 2.90, 20.62, 8.13, and 12,554.29 t, respectively. Accordingly, ship emission reduction measures were proposed based on the analysis of emission characteristics. The methods and conclusions of the study provide a scientific basis for the inventory and control of the ship emissions in China.
Effect of weak geometrical forcing on the stability of Taylor-vortex flow

Linear stability analysis of fully developed axisymmetric steady and spatially modulated Taylor-Couette flow is carried out in the narrow-gap limit. The inner cylinder is sinusoidally modulated and rotating, while the outer cylinder is straight and at rest. The modulation amplitude is assumed to be small, and the base steady flow is determined using a regular perturbation expansion of the flow field coupled to a variable-step finite-difference scheme. The disturbance flow equations are derived within the framework of Floquet theory and solved using a nonlinear two-point boundary-value approach. In contrast to unforced Taylor-Couette flow, only vortical base flow is possible in the forced case. It is found that the forcing tends to generally destabilize the base flow, especially around the critical point. Both the critical Taylor number and wavenumber are found to decrease essentially linearly with modulation amplitude.
Eliciting Historical Thinking: The Use of Archaeological Remains in Secondary Education

This paper investigates the expression of historical thinking by students in the school and museum environment, based on the study of the past through archaeological remains. The empirical investigation was carried out in five schools in Athens, four state and one private, and included a total sample of 189 middle and high school students (12–13 and 15–16-year-olds). The students were exposed to archaeological remains in three different forms, actual physical objects, printed images of the objects, and digital representations thereof. Data was collected from written responses to a questionnaire and from their responses during a semi-structured interview, as well as from observations by the researcher during the whole process. Based on an analysis of their responses, it was clear that most of the students had grasped the historical significance of the archaeological remains they had studied. They referred to them in relation to their historical context, based on their recollection of pre-existing historical knowledge or the use of relevant information given to them. However, the expression of interpretative historical thinking in several responses appears to be influenced by the historical or non-historical character of each question or task, as well as the type of archaeological remains they had studied. Parameters such as age, gender, and socio-cultural background also appear to have influenced their expression of historical thinking.
Multivalued fields

The statistical mechanics of line-like excitations of many-body systems can most easily be formulated with the help of multivalued fields which do not satisfy the Schwarz integrability conditions. These fields must be included into the hydrodynamic description of such systems in order to allow for a proper understanding of the observed phase transitions. We sketch the construction of the associated quantum field theory and its application to the phase transitions of superfluids, Bose-Einstein condensates, superconductors, crystals, and magnetic monopole gases.
THE BLAST FURNACE TROUGH TWO-PHASE FLOW AND ITS INFLUENCE IN THE REFRACTORY LINING WEAR: MATHEMATICAL MODELING AND NUMERICAL SIMULATION.

The aim of this work is the modeling and the simulation of the cast iron and air flow in the blast furnace trough without considering the slag. The key issue is to try to correlate the hydrodynamics with the refractory wear that occurs during the operation of theblast furnace trough. The mathematical model used is the two-fluid model (Eulerian-Eulerian), considering the three-dimensional flow, transient with free-surface. The turbulence modeling is made by the zero-equation model. The solution of the differential equation system is obtained by the Ansys CFX 10.0 ® simulator and then compared with available results for model validation. The results has demonstrated very good agreement with other works found in the literature. They indicate that the corrosive process is the main factor in the refractory wear, facilitated for a good mixture regimen ,oscilatory wall shear stress that, in a long run, besides its low magnitudes, can contribute for the removal of a more fragile and permeable reactive layr by a slow abrasion process, exposing the fresh layer to a new chemical attack. These are preliminary but important results which helps the validation of model. The results promoted a better understanding of the physical phenomenon, directing future studies in wear and separation problems, concerning both the physical/mathematical modeling and the numerical solution.
Resonator based metamaterial sensor to detect unknown materials

A resonator based metamaterial sensor to detect unknown materials is proposed in this article. The metamaterial structure consists of a resonator, which is surrounded by a partial ground frame and excited by a microstrip feeding transmission line. Having a geometric size of 30 × 30 mm2, the metamaterial is printed on Rogers RO3010 (tm) substrate with the relative permittivity of 10.2. Numbers of unit cells are needed for traditional metamaterial design, whereas the proposed metamaterial structure has only one cell, which can achieve the metamaterial properties. The aim of the study is to apply the metamaterial in sensor applications and the results exhibit that the metamaterial is appropriate for the microwave sensor applications.
Bifurcation in a bubble translating and expanding in a sound field

We study the interaction of the motion of an expanding and translating bubble with a sound field, using the method of effective potential adopted by Landau and Lifshitz. We work under the assumption that the amplitude of the sound is small, while the frequency of the sound is large compared to the characteristic oscillation frequency of the bubble. We find that the equilibrium value of the mean radius R of the bubble exhibits a bifurcation as the amplitude of the high frequency sound field increases in a neighbourhood of the value zero.
Automated image classification for heritage photographs using Transfer Learning of Computer Vision in Artificial Intelligence

There is substantial archival data available in different forms, including manuscripts, printed papers, photographs, videos, audios, artefacts, sculptures, building, and others. Media content like photographs, audios, and videos are crucial content because such content conveys information well. The digital version of such media data is essential as it can be shared easily, available in the online or offline platform, easy to copy, easy to transport, easy to back up and easy to keep multiple copies at different places. The limitation of the digital version of media data is the lack of searchability as it hardly has any text that can be processed for OCR. These important data cannot be analysed and, therefore, cannot be used in a meaningful way. To make this data meaningful, one has to manually identify people in the images and tag them to create metadata. Most of the photographs were possible to search based on very basic metadata. This data, when hosted on the web platform, searching media data is becoming a challenge due to its data formats. Improvement in existing search functionality is required to improve the searchability of the photographs in terms of ease of usage, quick retrieval and efficiency. The recent revolution in machine learning, deep learning and artificial intelligence offers a variety of facilities to process media data and identify meaningful information out of it. This research paper explains the methods to process digital photographs to classify people in the given photographs, tag them and saves that information in the metadata. We will tune various hyperparameter to improve their accuracy. Machine learning, deep learning and artificial intelligence offers several benefits, including auto-identification of people, auto-tagging them, provide insights and finally, the most important part is it improves the searchability of photographs drastically. It was envisaged that about 85% of the manual tagging activity might be reduced and improves the searchability of photographs by 90%.