Miracle-dz/UniFAR-FTUs huggingface dataset:
Étude de systèmes dynamiques avec perte de régularité

L'objet de cette these est le developpement d'un cadre unifie pour etudier la regularite de certains elements caracteristiques des dynamiques chaotiques (pression/entropie topologique, mesure de Gibbs, exposants de Lyapunov) par rapport a la dynamique elle meme. Le principal probleme technique est la perte de regularite venant de l'utilisation d'un operateur de composition, l'operateur de transfert, dont les proprietes spectrales sont intimement liees aux "elements caracteristiques" ci-dessus. Pour surmonter ce probleme, nous etablissons un theoreme de regularite par rapport aux parametres pour des points fixes, dans un esprit proche du theoreme des fonctions implicites de Nash Moser. Nous appliquons ensuite cette approche "point fixe" au probleme de la reponse lineaire (regularite de la mesure invariante du systeme par rapport aux parametres) pour une famille de dynamiques uniformement dilatantes. Dans un second temps, nous etudions la regularite du plus grand exposant de Lyapunov d'un produit aleatoire d'applications dilatantes, s'appuyant sur notre theoreme de regularite et la theorie des contractions de cones. Nous en deduisons la regularite par rapport aux parametres de la mesure stationnaire, de la variance dans le theoreme limite central, et d'autres quantites dynamiques d'interet.
A three phase bidirectional V2G interface converter based on SiC JFETs

This paper presents a 10kW three phase bidirectional on-board battery charger for use as a V2G interface in electric vehicles (EVs). The interface to the grid in the on-board charger is a three phase IGBT-based boost converter, being in charge of the power factor correction (PFC). The interface to the battery is an isolated dual active bridge (DAB) converter based on the silicon carbide (SiC) JFETs. 1200V rated SiC JFETs enable both the operation at high voltage values in the DC link (above 500V) and high switching frequencies in the range from 50 to 150 kHz. Both high converter efficiency and compact converter design can be achieved thanks to the application of these wide band gap components. The control algorithm where PFC stage can control the flow of reactive power and the DAB the flow of active power between traction battery and the grid is presented and analyzed.
Magnetic field dependence of the critical current in YBa2Cu3O7-delta/Au/Nb ramp-zigzag Josephson junctions

We study the critical current I_c dependence on applied magnetic field H for multifacet YBa_2Cu_3O_{7-\delta}-Au-Nb ramp-type zigzag Josephson junctions. For many experiments one would like to apply a homogeneous field in the junction plane. However, even tiny misalignments can cause drastic deviations from homogeneity. We show this explicitly by measuring and analyzing I_c vs. H for an 8 facet junction, forming an array of 4\times(0-\pi)-segments. The ramp angle is \theta_r=8^\circ. The facet width is 10\,\mum. H is applied under different angles \theta relative to the substrate plane and different angles \phi relative to the in-plane orientation of the zigzags. We find that a homogeneous flux distribution is only achieved for an angle \theta_h\approx 1^\circ - 2^\circ and that even a small misalignment \sim 0.1^\circ relative to \theta_h can cause a substantial inhomogeneity of the flux density inside the junction, drastically altering its I_c vs. H interference pattern. We also show, that there is a dead angle \theta^*_d relative to \theta_h of similar magnitude, where the average flux density completely vanishes.
Linguistic structures for email and echat

Persons who use a symbol system to communicate have not been able to take advantage of Internet-based services to the same extent as persons who write using ordinary alphabetic text. However, such persons could be among those who would have most use of Internet services due to physical or intellectual handicaps and the resulting social and practical isolation. This contribution considers some known differences in communication for symbol system users compared to their counterparts whose written communication consists of ordinary text, discusses some differences between ordinary text and email or echat texts and argues the need for special linguistic structures to support Internet use for symbol system users.
What is) the contribution of phonetics to contemporary speech synthesis (

Kurzfassung: Recent advances in speech technology have significantly reduced the necessity for traditional phonetic system components or phonetic expertise, e.g. rule-based prosody models. We therefore need to ask the question, whether and how phonetics ought to play a role in ongoing and future speech synthesis development. The answer can be derived directly from a global analysis of the weaknesses in state-of-the-art systems. Their quality limitations unveil those areas where phonetics can still provide important impulses for system improvement. In this paper, it is argued that even if phoneticians “traditional” tasks have become less influential, with the advent of more dynamically flexible and interactive systems new challenges have arisen and need solutions within the humanities.
Discrete mechanics and optimal control

Abstract A new approach to the solution of optimal control problems for mechanical systems is proposed. It is based on a direct discretization of the Lagrange-d'Alembert principle for the system (as opposed to using, for example, collocation or multiple shooting to enforce the equations of motion as constraints). The resulting forced discrete Euler-Lagrange equations then serve as constraints for the optimization of a given cost functional. We numerically illustrate the method by optimizing a low thrust satellite orbit transfer as well as the reconfiguration of a group of hovercraft in the plane.
S UM T IME : Observations from KA for Weather Domain

SUMTIME (http://www.csd.abdn.ac.in/research/sumtime) is a research project aimed at developing a generic computational model for producing textual summaries of time series data. This report summarises some of the observations made during the initial knowledge acquisition sessions carried out in the weather forecasting domain. Based on these observations, we describe a two-stage model for content determination for summarising time series data. The first stage involves building a qualitative overview of the data set, and the second involves using this overview, together with the actual data, to produce summaries of time-series data.
In Silico Genomic Fingerprints of the Bacillus anthracis Group Obtained by Virtual Hybridization

In this study we evaluate the capacity of Virtual Hybridization to identify between highly related bacterial strains. Eight genomic fingerprints were obtained by virtual hybridization for the Bacillus anthracis genome set, and a set of 15,264 13-nucleotide short probes designed to produce genomic fingerprints unique for each organism. The data obtained from each genomic fingerprint were used to obtain hybridization patterns simulating a DNA microarray. Two virtual hybridization methods were used: the Direct and the Extended method to identify the number of potential hybridization sites and thus determine the minimum sensitivity value to discriminate between genomes with 99.9% similarity. Genomic fingerprints were compared using both methods and phylogenomic trees were constructed to verify that the minimum detection value is 0.000017. Results obtained from the genomic fingerprints suggest that the distribution in the trees is correct, as compared to other taxonomic methods. Specific virtual hybridization sites for each of the genomes studied were also identified.
Speech Understanding and Dialogue over the telephone: an overview of the ESPRIT SUNDIAL project.

One of the most obvious and natural applications for speech technology is in providing a gateway to information services over the telephone network. Already a significant growth is occurring the provision of information from a centralised computing system using stored messages or synthetic speech derived from text files. Most of these systems however currently rely on the use of touch tone input for selection of the information. In the UK only 15% of homes and businesses have tone dialling, although the network is currently able to support around 50% tone dialling. The ability to recognise a small number of words or even the digits without the user requiring to train the system therefore has widespread application. As the scope of the information service expands so also does the need for more intelligent dialogues with much larger vocabularies for speech understanding.
Dopaminergic transmission between identified neurons from the mollusk, Lymnaea stagnalis.

1. Dopaminergic transmission was investigated in the central nervous system (CNS) of the freshwater snail, Lymnaea stagnalis. 2. The giant pedal neuron, designated as right pedal dorsal one (RPeD1), makes chemical, monosynaptic connections with a number of identified follower cells in the CNS. Previous work has shown that RPeD1 is an interneuron and a important component of the Lymnaea respiratory central pattern generator. In this study, the hypothesis that RPeD1 uses dopamine as its neurotransmitter was tested by chromatographic, pharmacological, and electrophysiological methods. Characterization of RPeD1's transmitter pharmacology is essential to clearly understand its role in Lymnaea. 3. Earlier studies demonstrated that the soma of RPeD1 contains dopamine. This was quantitated in the present study by high-performance liquid chromatography (with electrochemical detection) of isolated RPeD1 somata and growth cones, which yielded 0.8 +/- 0.3 and 0.10 +/- 0.08 pmol of dopamine per soma and growth cone, respectively. 4. Bath or pressure application of dopamine to follower cells of RPeD1, in situ, mimicked the effects of RPeD1 stimulation. Dose-response curves were constructed for the excitatory effect of dopamine on follower cells, visceral dorsal two and three (VD2/3) (ED50 = 39 microM; Hill coefficient = 1.03), and the inhibitory effect of dopamine on follower cell, visceral dorsal four (ED50 = 33 microM; Hill coefficient = 0.92). 5. The following dopamine agonists (100 microM) were tested by bath application: 2-amino-6,7-dihydroxy-1,2,3,4-tetrahydronaphthalene (ADTN), apopmorphine, 2-bromo-alpha-ergocryptine, deoxyepinephrine (DE), mesulergine, (-) quinpirole, SKF 38393, and tyramine. Only the general dopamine agonists, ADTN and DE, mimicked RPeD1's effects on its follower cells. 6. When VD2/3 was isolated and plated in vitro, it maintained a depolarizing response to dopamine. This response was reduced by intracellular injection of the G-protein blocker, GDP-beta-S (2 mM in electrode). Similarly, incubation of VD2/3, in vitro for approximately 18 h, with pertussis toxin (PTX; 5 micrograms/ml), the G-protein inactivating exotoxin, also reduced the dopamine response. Injecting GDP or incubating in heat-inactivated PTX did not effect the response. 7. Several dopamine antagonists were used in an attempt to block RPeD1's synapses: chlorpromazine, ergonovine, fluphenazine, haloperidol, 6-hydroxydopamine, SCH 23390, (+/-) sulpiride, and tubocurarine. Only the D-2 dopamine receptor antagonist, (+/-) sulpiride, reversibly blocked synaptic transmission from RPeD1 to its follower cells. Both the (+) and the (-) enantiomer of sulpiride also antagonized synaptic transmission. A dose-inhibition curve for (+/-) sulpiride was constructed (IC50 = 47 microM). (ABSTRACT TRUNCATED AT 400 WORDS)
Does PAL Work? An Exploration of Affect amongst First-year HE in FE Students

The study evaluates a peer-assisted learning (PAL) scheme as an effective strategy in alleviating levels of negative emotions and, in the process, contributes to explorations of affect in first-year students in an HE in FE environment, with a particular focus on anxiety and related emotions. Various types of anxieties are defined in the context of a student’s experience in HE, followed by an explanation of the present interventional study in an HE in FE institution, including the survey method used to collect data analyzed through SPSS. Surprisingly, the main findings are that overall anxiety and worry increased for students belonging to most faculties with time, regardless of participation in the PAL scheme. A positive finding was nonetheless that anxiety levels increased more steadily for students who belonged to the control group. The PAL scheme may have thus influenced how less anxious PAL students felt, compared to those who did not participate in the PAL scheme who were left feeling more anxious at the end of the semester.
Reply to comment by I. Pineda‐Velasco, T. T. Nguyen, H. Kitagawa, and E. Nakamura on “Diverse magmatic effects of subducting a hot slab in SW Japan: Results from forward modeling”

The Comment by Pineda-Velasco et al. [2015] examined Pb isotope data presented by Kimura et al. [2014] which had been obtained from lava samples from the Daisen and Aono regions of Japan. Pineda-Velasco et al. [2015] presented new Pb isotope data for Aono, together with published data for Daisen [Feineman et al., 2013] obtained by double spike-thermal ionization mass spectrometry (DS-TIMS) [Kuritani and Nakamura, 2003],this data differed from that presented by Kimura et al. [2014]. The authors’ points are that (1) there is uncertainty in the analytical results of Kimura et al. [2014] due to the effect of mass fractionation, and therefore, (2) the interpretations of Kimura et al. [2014] based on the extent of crustal assimilation and the estimated Pb isotopic composition of the crustal component are erroneous.
Lightweight workflow engine based on HADOOP and OSGI

The growth of data used by data-intensive computations has out-paced the growth of the power of a single processor. In this paper, we propose a high performance and scalability workflow engine, a lightweight parallel and distributed computing platform based on HADOOP and OSGI. Workflow engine provides flexible and scalable OSGI-based interfaces which user can implement to define data processing functions and expand functions in HADOOP ecosystem. Workflow engine consists of invoking interfaces, scheduler engine, optimizer and fault-tolerance manager. Given a workflow process, the engine analyzes data dependencies among nodes, then dispatches them to Map Reduce clusters based on the current status of the system. This paper also describes the design and strategy in detail on implementation processes, key points, relationships of each participants and etc. Our experiment demonstrates that workflow engine can significantly improve the performance of workflow execution.
UMass Progress in 3D Building Model Acquisition

The Automated Site Construction, Extension, Detection and Re nement system (ASCENDER) has been developed to automatically populate a site model with buildings extracted from multiple, overlapping views. Version 1.0 of the system has been delivered for evaluation on classi ed imagery. Evaluation results on an unclassi ed Ft.Hood data set are presented here. Extensions to the system that allow it to detect a wide range of building classes, including peaked roof and multi-level at roofed structures are described. Recent work on symbolic extraction of surface structures such as windows greatly enhances the visual realism of graphical site model displays.
Support vector machines for nonlinear pavement backanalysis

Backanalysis or backcalculation of in-service pavement mechanical properties (such as elastic modulus) from pavement Non-Destructive Test (NDT) deflection data is a routine practice carried out by highway engineers for pavement structural condition evaluation, remaining life calculations, and mechanistic-based analysis. Owing to the complexity of this ill-conditioned inverse modeling problem, numerous backcalculation routines have been developed and implemented over the years ranging from simple deflection-basin matching programs to intelligent and soft computing based methodologies and each has its own pros and cons. This paper presents an efficient off-line pavement backcalculation system based on support vector machines (SVM) and compares its performance with another popular machine learning technique, multi-layer perceptrons (MLP). Both systems are trained and tested using synthetic deflection basins generated using a two-dimensional axisymmetric finite element software covering a wide range of in-service pavement scenarios. The results show that the effectiveness of SVM approach in pavement backanalysis is comparable to MLP approach, in general, and better in some specific cases.
Effects of Teacher-Delivered Book Reading and Play on Vocabulary Learning and Self-Regulation among Low-Income Preschool Children

ABSTRACT There is a need for empirically based educational practices shown to support learning, yet validation tends to require a high degree of experimental control that can limit ecological validity and translation to classrooms. We describe our iterative intervention design to support preschoolers’ vocabulary through book reading coupled with playful learning, including the process of translating research-based methods to an authentic teacher-delivered intervention. Effectiveness of the teacher-implemented intervention was examined by comparing book reading alone versus book reading plus play in supporting vocabulary development in preschoolers (N = 227) from low-income families with diverse backgrounds. Teachers used definitions, gestures, and pictures to teach vocabulary. During play, teachers led play with story-related figurines while using target vocabulary. Ten teachers read books and engaged children in play (read + play [R + P]), and 6 used only book reading (read-only [RO]). For children in both the R + P and RO conditions, within-subjects analyses of gains on taught versus control words revealed large effects on receptive (R + P, d = 1.08; RO, d = 0.92) and expressive vocabulary (R + P, d = 1.41; RO, d =1.23). Read-only had a statistically significant effect (d = 0.20) on a standardized measure of receptive vocabulary, but there were no statistically significant differences between conditions. Moderate to large effects were found using an expressive task when words were tested 4 months after they were taught. Implications for curriculum design and the potential benefits of enhancing children’s vocabulary through book reading and playful learning are discussed.
Ultrasonic signal denoising based on wavelet haar decomposition level

In the era of technology, signal transmission or signal recording is inseparable with the advent of noise. This study aims to eliminate noise (noise) on the ultrasonic signals to dolphins recording voice, as well as to determine the level of decomposition and the best kind on wavelet threshold with evidentiary value of SNR (Signal to Noise Ratio). Haar wavelet type is used in this study. One of the uses of wavelets is, it can be used for noise reduction in non-stationary noise signal. Reduction of noise on the voice signals using wavelet is done by filtering with the operation of sub-sampling which passes the signal through the low pass filter and a high pass filter which is called the level of decomposition, wavelet coefficients will be obtained, then perform threshold (skip at certain threshold) of the wavelet coefficients so that noise can be reduced. Threshold used is hard threshold and soft threshold. The results obtained by the best value of SNR (Signal to Noise Ratio) is at the level 5 of decomposition with an average value in soft threshold amounted to 46.5548 dB, at hard threshold amounted to 46.5572 dB. As for the type of threshold is best depends on the input data which is owned, there are 15 from 30 data that indicates the best soft threshold and there are 15 data indicates some best hard threshold.
A Hierarchical Neuronal Model for Generation and Online Recognition of Birdsongs

The neuronal system underlying learning, generation and recognition of song in birds is one of the best-studied systems in the neurosciences. Here, we use these experimental findings to derive a neurobiologically plausible, dynamic, hierarchical model of birdsong generation and transform it into a functional model of birdsong recognition. The generation model consists of neuronal rate models and includes critical anatomical components like the premotor song-control nucleus HVC (proper name), the premotor nucleus RA (robust nucleus of the arcopallium), and a model of the syringeal and respiratory organs. We use Bayesian inference of this dynamical system to derive a possible mechanism for how birds can efficiently and robustly recognize the songs of their conspecifics in an online fashion. Our results indicate that the specific way birdsong is generated enables a listening bird to robustly and rapidly perceive embedded information at multiple time scales of a song. The resulting mechanism can be useful for investigating the functional roles of auditory recognition areas and providing predictions for future birdsong experiments.
Dynamic splitting method for clothing-invariant human gait recognition

Human gait as a behavioral biometric identifier has received much attention in recent years. But there are some challenges which hinder using this biometric in real applications. One of these challenges is clothing variations which complicates the recognition process. To mitigate this problem some approaches splits the silhouette into regions to isolate the negative impact of clothing in the affected region. In this paper a method is proposed for splitting the silhouette dynamically and according to the clothing type. The experimental results show that using this method increases the recognition rate significantly.
Automatic Construction of Domain-specific Dictionaries on Sparse Parallel Corpora in the Nordic languages

Halla Norden is a web site with information regarding mobility between the Nordic countries in five different languages; Swedish, Danish, Norwegian, Icelandic and Finnish. We wanted to create a Nordic cross-language dictionary for the use in a cross-language search engine for Halla Norden. The entire set of texts on the web site was treated as one multilingual parallel corpus. From this we extracted parallel corpora for each language pair. The corpora were very sparse, containing on average less than 80 000 words per language pair. We have used the Uplug word alignment system (Tiedemann 2003a), for the creation of the dictionaries. The results gave on average 213 new dictionary words (frequency > 3) per language pair. The average error rate was 16 percent. Different combinations with Finnish had a higher error rate, 33 percent, whereas the error rate for the remaining language pairs only yielded on average 9 percent errors. The high error rate for Finnish is possibly due to the fact that the Finnish language belongs to a different language family. Although the corpora were very sparse the word alignment results for the combinations of Swedish, Danish, Norwegian and Icelandic were surprisingly good compared to other experiments with larger corpora.