Miracle-dz/UniFAR-FTUs huggingface dataset:
L'éco-conception dans le génie électrique : application au cas du transformateur

Ce papier presente les premiers resultats de la problematique de l'eco-conception dans le cas du plus simple des convertisseurs electromagnetiques : le transformateur monophase connecte a un reseau a tension et frequence fixes. L'optimisation de ses dimensions s'obtient par la minimisation de deux objectifs contradictoires, la masse des parties actives et le cout energetique global sur cycle de vie. Nous comparons dans un premier temps ces resultats d'optimisation a ceux d'optimisation plus " classique " (ou les seules pertes de fonctionnement sont considerees). Ceci nous amene a reconnaitre l'impact significatif de l'analyse sur cycle de vie sur la disposition des fronts de Pareto. Nous observons ensuite que cet impact est d'autant plus important que le temps de sollicitation du transformateur est faible devant son temps total d'utilisation C'est ici qu'intervient le choix d'utiliser ou non un modele thermique transitoire, permettant une modelisation et donc un dimensionnement plus realiste. La sensibilite des resultats d'optimisation a des variations de couts elementaires energetique reste faible mais dependante du profil de charge. Par contre, la sensibilite des resultats est plus importante vis-a-vis d'un changement de materiau de bobinage (aluminium au lieu de cuivre). This paper presents the first results of the eco-design problematic in case of one of the simplest electromagnetic energy converter: the single-phase electric transformer connected to a constant frequency and voltage power supply. The optimization of its sizes is led with the following objectives: the active mass and the global life cycle energy cost. We first compare optimization's results to those with "classic" mass versus power losses (copper and iron losses) optimization for several times of use ratio. This leads to recognition of the significant impact of the life cycle energy on the arrangement of the optimal Pareto fronts, explained by conflicting energy contribution in the life cycle global energy cost objective. Then we logically observe that the life cycle assessment impact is more significant when the real use duration is smaller than the lifetime and in this case we have to use a transient thermal model in order to have more realistic results. After that, the sensitivity of the optimization's results to the elementary raw materials energy costs is considered with the same times of use ratio. At last, some optimizations are run with a different raw material: aluminium instead of copper for the windings.
Application of Attribute Theory in Image Segment

This paper presented a new method of image segmentation.Firstly,color images are converted to the HSI color space.Then,HSI color space intelligent integration model is established based on the theory of qualitative mapping.Finally,image segmentation is implemented through matching the feature components of different colors pixels.The results of the MATLAB simulation show that the proposed model has good performance in not only time-consuming but segmentation also.
Geological evolution and analysis of confirmed or suspected gas hydrate localities. Volume 3. Basin analysis, formation and stability of gas hydrates in the western Gulf of Mexico

This document is Volume 3 of a series of reports entitled ''Geological Evolution and Analysis of Confirmed or Suspected Gas Hydrate Localities. '' Volume 3 is an analysis of the ''Formation and Stability of Gas Hydrates in the Western Gulf of Mexico. '' This report presents a geological description of the western Gulf of Mexico, including regional and local structural settings, geomorphology, geological history, stratigraphy, and physical properties. It provides the necessary regional and geological background for more in-depth research of the area. Detailed discussion of bottom simulating acoustic reflectors, sediment acoustic properties, and distribution of hydrates within sediments is also included. The formation and stabilization of gas hydrates in sediments are considered in terms of phase relations, nucleation, and crystallization constraints, gas solubility, pore fluid chemistry, inorganic diagenesis, and sediment organic content. Together with a depositional analysis of the area, this report is a better understanding of the thermal evolution of the locality. It should lead to an assessment of the potential for thermogenic hydrocarbon generation. 271 refs., 75 figs., 7 tabs.
Strategies to encode information with glutamate release in synapses of the Danio Rerio visual system

I have used the fluorescent reporter iGlusnFR to observe glutamate release from bipolar cell (BC) terminals onto retinal ganglion cells (RGCs) dendrites and from RGCs outputs in live zebrafish using multiphoton microscopy. Most neurons in the brain represent information using a digital code: temporal sequences of spikes of fixed amplitude that trigger the quantized release of neurotransmitter. The amplitude distribution of BCs events demonstrated clear quantization, showing that bipolar cells generate multivesicular events in vivo to encode visual information. I showed then that the vesicles constituting the events were released in a coordinated fashion and was not described by a Poisson process. It was then possible to understand for the first time how visual information was encoded with a vesicle code. Coding with amplitude was more prevalent in OFF cells than ON cells. Multivesicular events encoded higher contrasts with elevated temporal precision, achieving an accuracy comparable to spikes leaving the retina (about 3 ms). Ribbon synapses therefore discretize their outputs into sequences of numbers ranging from zero up to ~11 enhancing the dynamic range and the temporal accuracy of the vesicle code. Further, when observing iGluSnFR signals on the dendrites of individual RGCs, multiple individual inputs could be distinguished with varying sensitivity to tuning to spatial orientation. Thus, I used iGluSnFR to understand how visual information was transmitted onto RGCs by comparing inputs from BCs into single RGCs and outputs from the same RGCs in the optic tectum. I used this optical approach to study retinal computations such as dynamic predictive coding. Dynamic predictive coding is computed by RGCs of zebrafish. A combination of excitatory inputs from BCs and inhibitory inputs generate this phenomenon.
High-Performance Silicon 2 × 2 Thermo-Optic Switch for the 2-$\mu$m Wavelength Band

The 2-<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m spectral window is emerging as a promising candidate for the next generation communication. We present a 2 × 2 Mach–Zehnder interferometric thermo-optic switch at 2-<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m waveband. The device is fabricated on a 220 nm thick silicon-on-insulator wafer with standard complementary metal oxide semiconductor (CMOS) process. We demonstrate an over 30 dB extinction ratio under the power consumption of 32.3 mW, with an average switching time of ∼15 μs. This proof of principle optical switch paves a way toward full silicon-based chip-scale interconnects in the 2-<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m waveband.
A statistical mixture method to reveal bottom-up and top-down factors guiding the eye-movements

When people gaze at real scenes, their visual attention is driven both by a set of bottom-up processes coming from the signal properties of the scene and also from top-down effects such as the task, the affective state, prior knowledge, or the semantic context. The context of this study is an assessment of manufactured objects (here car cab interior). From this dedicated context, this work describes a set of methods to analyze the eye-movements during the visual scene evaluation. But these methods can be adapted to more general contexts. We define a statistical model to explain the eye fixations measured experimentally by eye-tracking even when the ratio signal/noise is bad or lacking of raw data. One of the novelties of the approach is to use complementary experimental data obtained with the “Bubbles” paradigm. The proposed model is an additive mixture of several a priori spatial density distributions of factors guiding visual attention. The “Bubbles” paradigm is adapted here to reveal the semantic density distribution which represents here the cumulative effects of the top-down factors. Then, the contribution of each factor is compared depending on the product and on the task, in order to highlight the properties of the visual attention and the cognitive activity in each situation.
Cosmic background radiation anisotropy in an open inflation, cold dark matter cosmogony

We compute the cosmic background radiation anisotropy, produced by energy-density fluctuations generated during an early epoch of inflation, in an open cosmological model based on the cold dark matter scenario. At Omega(sub 0) is approximately 0.3-0.4, the Cosmic Background Explorer (COBE) normalized open model appears to be consistent with most observations.
Analisis Website E-Learning Berbasis Standar Scorm Content Aggregation Model 2.1 Di Fakultas Ilmu Komputer Universitas Bandar Lampung

Universitas Bandar Lampung adalah Perguruan Tinggi Swasta terbesar di Provinsi Lampung yang berdiri sejak tahun 1984 di bawah naungan Yayasan Administrasi Lampung (YAL) yang bergerak dalam bidang pendidikan. Tujuan dari penulisan ilmiah ini adalah untuk menganalisis website e-Learning Berbasis standar SCORM Content Aggregation Model (CAM) di Fakultas Ilmu Komputer Universitas Bandar lampung agar dapat membantu dalam proses kegiatan belajar mengajar (KBM). Dengan adanya penelitian ini, diharapkan dapat membantu masalah yang dihadapi FIK. Seperti kurangnya format-format materi dan konten-konten pembelajaran yang belum terstruktur didalam website e-Learning. Hasil dari penelitian ini adalah sebuah website e-Learning yang berbasis Standar SCORM Content Aggregation Model (CAM).
Some problems related to Singer sets

The following article describes some of the work I did in the summer 2005 for Prof. Ben Green, Bristol University. The work was very computational in flavour, partly because computations were the natural first course of attack for most of the problems Ben Green posed me and partly because two months turned out to be not enough to complement the computational results by substantial theoretical work. However, the pictures and numbers I obtained suggested certain conjectures, which I hope to be able to prove or disprove in the future. I used the programming language C++ and the Microsoft Visual C++ compiler for all computationally ”expensive” tasks and Maple in most cases where I needed nice pictures at the end. In some cases I combined the two by first outputting the numbers into a file and then importing the file in Maple to produce diagrams. I have not included the source code for the programs here but I will be very happy to supply it on demand.
Spectral analysis and semi-classical analysis for metastability in molecular dynamics

This thesis is dedicated to the study of the sharp asymptotic behaviour in the low temperature regime of the exit event from a metastable domain $\Omega\subset \mathbb R^d$ (exit point and exit time) for the overdamped Langevin process. In practice, the overdamped Langevin dynamics can be used to describe for example the motion of the atoms of a molecule or the diffusion of interstitial impurities in a crystal. The obtention of sharp asymptotic approximations of the first exit point density in the small temperature regime is the main result of this thesis. These results justify the use of the Eyring-Kramers law to model the exit event. The Eyring-Kramers law is used for example to compute the transition rates between the states of a system in a kinetic Monte-Carlo algorithm in order to sample efficiently the state-to-state dynamics. The cornerstone of our analysis is the quasi stationary distribution associated with the overdamped Langevin dynamics in $\Omega$. The proofs are based on tools from semi-classical analysis. This thesis is divided into three independent chapters. The first chapter (in French) is dedicated to an introduction to the mathematical results. The other two chapters (in English) are devoted to the precise statements and proofs.
Architecture model for personalizing interactive service: oriented application

Service-oriented Architectures obviously improve the design of Information Systems IS. Moreover, the omnipresence and the diversity of devices led to the development of new infrastructures which encourage the use of multiple interaction techniques to use IS. In this article, we present an architecture of evolution control which supports the adaptation of applications according to discovered services or devices, by respecting the preferences of the users as well at the level of the information system as the level of the support of interaction.
AN E-HEALTHCARE SYSTEM FOR UBIQUITOUS AND LIFE-LONG HEALTH MANAGEMENT

An e-Healthcare system with IC card authentication, automatic health screening sub-system and Web-based health information monitoring, has been designed and implemented for university health education. It looks like a prototype of private Cloud service of e-Healthcare for university students which can obtain their health records from physical measuring devices with their IC card-based authentication, manage their health data in suitable database, investigate the relevant data according to requests from doctors/nurses, and provide such data as necessary information for self-healthcare through Web-DB service. This paper presents an organization of the above e-Healthcare system, demonstrates its real usages in university health education and describes its trial quantitative evaluation, and describes expanding plan through practical applications.
Computational Methods For Electromagnetics

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Manufacturing process and characterization of electrospun PVP/ZnO NPs nanofibers

Constantly developing nanotechnology provides the possibility of manufacturing nanostructured composites with a polymer matrix doped with ceramic nanoparticles, including ZnO. A specific feature of polymers, i.e. ceramic composite materials, is an amelioration in physical properties for polymer matrix and reinforcement. The aim of the paper was to produce thin fibrous composite mats, reinforced with ZnO nanoparticles and a polyvinylpyrrolidone (PVP) matrix obtained by means of the electrospinning process and then examining the influence of the strength of the reinforcement on the morphology and optical properties of the composite nanofibers. The morphology and structure of the fibrous mats was examined by a scanning electron microscope (SEM) with an energy dispersive spectrometer (EDS) and Fourier-transform infrared spectroscopy (FTIR). UV –Vis spectroscopy allowed to examine the impact of zinc oxide on the optical properties of PVP/ZnO nanofibers and to investigate the width of the energy gap.
Least-squares RBF-FD method for the incompressible Stokes equations with the singular source

Abstract In this article, we propose the least-squares RBF-FD method for the incompressible Stokes equations with the singular source along the interface. First, we apply Green’s formula to derive interface conditions, then by employing the RBF-FD method to directly discretize the spatial operators, a least-squares system about the incompressible Stokes equations with interface conditions is constructed. The discrete least-squares system is derived by introducing the weight coefficient. We obtain the error bound of discrete least-squares system using the RBF interpolant theorem. Some numerical examples are provided to show the convergency and efficiency of the least-squares RBF-FD method for the incompressible Stokes equations with the singular source.
Adaptive Grouping Sparse Bayesian Learning for Channel Estimation in Non-Stationary Uplink Massive MIMO Systems

This paper addresses wideband channel estimation in an uplink massive multiple-input multiple-output (MIMO) system, which consists of multiple single-antenna users and a base station (BS) equipped with a large number of antennas. Due to the spatially non-stationary characteristics in massive MIMO channels, the channel vectors corresponding to different BS antennas may take on different sparsity patterns in delay domain. Taking this into account, we propose an adaptive grouping sparse Bayesian learning (AGSBL) scheme for uplink channel estimation. Specifically, for the channel vectors to be estimated, we judiciously design a hierarchical prior model controlled by a set of tunable hyperparameters. Then, we develop a variational Bayesian algorithm to infer the posterior probability of the channel vectors and the hyperparameters associated with the prior, thereby obtaining the channel estimates. Due to the designed prior, we are able to adaptively divide the channel vectors involved into several groups, each group bearing a similar sparsity pattern. In this way, the AGSBL can efficiently exploit the partial joint sparsity shared by each group of channel vectors, and therefore significantly improves the channel estimation performance. The simulation results are provided to verify the advantages of the proposed AGSBL over the related counterparts.
Reconstruction of Human Behavior and Movement Feature Recognition Based on the Video Image

Based on the analysis of human motion with the development of computer vision technology gradually become the research focus, while intelligent monitoring and other related real needs also contributed to its rapid development, attracting more and more researchers to join them. It includes both limbs motion tracking, as well as tracking the movement of the whole body, but does not include the subtle body movement, such as facial expressions and gestures of the track. The monocular video motion tracking method in this article are used in a variety of models, including the human body geometry, said camera imaging model and motion model used. Geometric model of the human body by the appearance of the model human skeleton model and composition of each joint skeleton model the relative proportions of the length of a value obtained from anthropometric measurements, and the establishment of a local coordinate system at each joint. Camera imaging using fluoroscopy model and a mathematical model based on this request to the relative three-dimensional coordinates of each joint between the sports model based on kinematics knowledge polynomial representation.
Analysis and prediction of protein-protein recognition.

The aims of the work presented in this thesis were two-fold. Firstly, an existing proteinprotein docking algorithm (Walls and Sternberg (1992). J. Mol. Biol., 228:277–297) was re-implemented on a type of computer more available than that used originally, and its behaviour was analysed in detail. This analysis led to changes in the scoring function, a treatment of electrostatic complementarity, and side-chain truncation. The algorithm had problems with its representation of surface, but more generally it pointed to difficulties in dealing with conformational change on association. Thus such changes were the second problem studied. They were measured in thirty-nine pairs of structures of complexed and unbound proteins, averaged over interface and non-interface regions and for individual residues. The significance of the changes was evaluated by comparison with the differences seen in twelve pairs of independently solved structures of identical proteins. Just over half had some substantial overall movement. Movements involved main-chains as well as side-chains, and large changes in the interface were closely involved with complex formation, while those of exposed non-interface residues were caused by flexibility and disorder. Interface movements in enzymes were similar in extent to those of inhibitors. All eight of the complexes that had structures of both components in an unbound form available showed some significant interface movement. An algorithm that was tested on five of these complexes (Gabb et al. (1997). J. Mol. Biol., 272:106–120) was seen to be successful even when some of the largest changes occurred. The situation may be different in systems other than the enzyme-inhibitors which dominate this study. Thus the general model of protein-protein recognition was found to be induced fit. However, because there is only limited conformational change in many systems, recognition can be treated as lock and key to a first approximation.
From Text to Design Solution: Inspiring Design Ideas with Texts

A design is said to be as successful as the leading idea that drives it is. Mature designers make frequent use of 'stock ideas' accumulated over time and stored in memory and personal archives. Novices do not yet possess developed collections of sources that can be tapped. Previous research proved that the intentional exposure of novice designers to visual stimuli can provide cues that act as sources and inspire the generation of design concepts. In this study it was hypothesized that stimuli in the form of texts presented to student-designers along with a design problem, would improve the quality of their design solution. In an experiment participants solved two short design problems under three conditions: without stimuli, with stimuli in the form of texts related to the problem at hand, and with texts unrelated to the problem. Outcomes were graded by naive judges for originality and practicality. Results show that both types of text yield designs that receive higher originality grades compared to the no-stimulus condition, but practicality is not affected. We propose that textual stimuli may be useful as part of the design process and as a pedagogical tool in the design studio.
Encyclopedia Of Grain Science

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