Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesurer des déplacements ET des contraintes par correlation mécanique d'images

Since the pioneering works on digital image correlation, a huge effort has been devoted to the elaboration of strategies coupling measurements with numerical simulations. The main issue achieved with such coupling is the identification of constitutive law parameters using heterogeneous strain/stress fields experimental configurations. The main limitation of this framework is that a constitutive law is to be postulated, what sometimes reveals far from being straightforward. To circumvent this limitation, a methodology is proposed to build a parametric description of the displacement field for DIC which parameters are directly related to local stress and strain. With no assumption on the constitutive relation, the method allows for measuring displacement, strain but also stress fields. The ability of the method to measure stress fields is illustrated for different situations. Mots clefs : corrélation d’images numériques, identification 23ème Congrès Français de Mécanique Lille, 28 au 1er Septembre 2017
Standard and Corrected Numerical Differentiation Formulae

Standard numerical differentiation rules that might be established by the method of undetermined coefficients are revisited. Best truncation error bounds are established by a direct method and by the method of integration by parts "backwards". A new method to increase the order of the truncation error using a primitive is presented. This approach leads to corrected numerical differentiation rules. Differentiation formulae and numerical tests are presented.
Sixth International Workshop on Culturally-Aware Tutoring Systems (CATS2015)

Since e-learning systems are used by a wide variety of students with different characteristics, being adapted to user’s model and profile is an essential feature. Although there are several approaches for adaptive e-learning environments, they focus mainly on technological and/or networking aspects without taking into account other contextual aspects, such as cultural and pedagogical context. This paper presents an improvement of an adaptive elearning environment called AdaptWeb, based on a rich context model as an extension to the traditional student modeling.
Stabilization via output feedback for a type of uncertain time-varying port-controlled Hamiltonian system based on linear matrix inequality approach

In this paper, the control of a type of uncertain time-varying port-controlled Hamiltonian (PCH) systems is investigated. As a matter of fact, the control method proposed in this paper is not based on passivity of PCH systems, but a general output equation is introduced inspired by the measured “information” in the systems in traditional control system theory and the problem of output feedback is considered. In this paper, a conception of p-quadratic stability of the type of PCH system is introduced, and the relationship between p-quadratic stability and Lyapunov stability is pointed out. Then, the problem for p-quadratic stabilization of the proposed system via static output feedback is solved in the following two cases, respectively. For the case of unperturbed output equation, a necessary and sufficient condition for the problem is derived in terms of two groups of linear matrix inequalities (LMIs); for the general case that the output equation also has time-varying perturbations, a sufficient condition for p-quadratic stable of closed-loop system is also given in terms of LMIs. It is also shown that conservatism can be greatly reduced when the perturbation variables in the uncertain PCH systems are restricted to vary within certain intervals. Finally, a numerical example is proposed in the end followed by a simulation to verify the effectiveness of the method proposed in this paper.
Klassifikation av polygoner med trigonometriska egenfunktioner till Laplaceoperatorn under Dirichletrandvillkor

We consider the eigenstructure of the Laplace operator on triangles with the angles (60°, 60°,60°); (30°, 60°,90°) och (45°, 45°,90°). Using the earlier work by M. Prager (1998) and M. A. Pinsky (1980) we find eigenfunctions of the Laplace operator with Dirichlet boundary conditions. We show completeness of eigenfunctions in L2 for each triangle. Moreover, we present a result by Brian J. McCartin (2008) that classifies which polygons have a complete set of trigonometric eigenfunctions. These polygons are the triangles mentioned above, the rectangle and the square. We connect McCartins result to symmetries of lattices, crystals and Weyl groups. In 1980 Pierre H. Berard studied the connection between different types of eigenfunctions and symmetries and proved that all alcoves of Weyl groups have trigonometric eigenfunctions. We point out the fact that in R2 the converse is also true. That is, all polygons with a complete set of trigonometric eigenfunctions are alcoves.
Performance of Hybrid ARQ Schemes for OFDM Systems

In this paper,four schemes of Hybrid Automatic-Repeat-Request(HARQ)for Orthogonal Frequency DivisionMultiplexing(OFDM)systems are evaluated when they are used in different channel environments.The AccumulativeCorrect Packet Reception Rate(ACPRR)performance of four HARQ schemes is compared in order to verify which ARQschemes are more suitable for different mobility OFDM systems.Computer simulation results show that the maximal ratiocombining frequency diversity ARQ scheme and type Ⅲ HARQ with frequency diversity is more suitable for low mobilityOFDM system.However the type Ⅲ HARQ without frequency diversity is more suitable for high mobility OFDM systembecause of the remarkable time diversity which reduces the required retransmission number to about 2 at the ACPRR of0.96.
Implementation of Reliable Shared-Buffer Router for On-Chip Networks

Router architecture plays a central role in the performance of a Network on Chip (NoC). Router consists of buffers which are dedicated to their input or output ports for temporarily storing packets during the times of congestion. Unfortunately, significant portion of the router area and power is consumed by the buffers alone. While running some tested traffic patterns, however, not all input ports of routers have incoming packets needed to be transferred simultaneously. Therefore, a large number of buffer queues in the network are empty whereas the other queues are mostly busy. This observation has led to the design of router architecture with shared queues (RoShaQ) which maximizes the buffer utilization by sharing the multiple buffer queues among input ports. Buffers become more efficient by sharing queues, hence the router is able to achieve higher throughput when the network load becomes heavy. On the other side, at light traffic load, this router is designed to achieve low latency by allowing packets to effectively bypass these shared queues. An additional functionality of error detection mechanism suitable to detect a single bit error known as Hamming code has also been proposed to ascertain the reliability of the router. Index Terms—Network on-chip, Router architecture, Shared-buffer, Error detection
Decision support IoT framework: device discovery and stream analytics

During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. The number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, device discovery and selection, as well decision analytics remain a critical challenge. In this work we present the Decision Support IoT Framework composed of COBASEN, an IoT search engine to address the research challenge regarding the discovery and selection of IoT devices when large number of devices with over lapping and sometimes redundant functionality are available in IoT middleware systems, and DMS, which allows to setup analytic computations on device data when it is still in motion, extracting valuable information from it for decision management. COBASEN operates based on textual characteristics of devices. The DMS uses Complex Event Processing to analyze and react over streaming data, allowing for example, to triggers an alert when a specific error or condition appears in the stream. The main goal of this work is to high light the importance of an IoT search engine for devices and a decision support system for stream analytics in the IoT paradigm. We developed two systems that implements COBASEN and DMS concepts. However, for preliminarily tests, we made a functional evaluation of both systems in terms of performance. Our initial findings suggest that the Decision Support IoT Framework provides important approaches that facilitate the development of IoT applications, which may perform essential roles to improve IoT processes.
EVALUATION OF PATIENTS WITH HEMOPTYSIS ATTENDING THE DEPARTMENT OF PULMONOLOGY SANTHIRAM MEDICAL COLLEGE.

Dr. S. Anusha Rao. Assistant professor, Department of Pulmonology, SVIMS, Tirupati-517501. Manuscript Info Abstract . Manuscript History Received: 24 March 2019 Final Accepted: 26 April 2019 Published: May 2019 Objective: To evaluate hemoptysis among patients who attended the department of pulmonary medicine, Santhiram medical college and general hospital. Material And Methods: This was a descriptive cross sectional study done on patients with at least one episode of hemoptysis attending to the Department of pulmonary medicine, Santhiram medical college and general hospital from January 2015 to August 2016. All the patients are evaluated by -Chest x-ray pa-view, CT-chest, Sputum for culture and sensitivity, Sputum for KOH mount, Sputum for AFB, Bronchoscopy, Upper airway and nasal examination, Complete blood picture, Coagulation profile, ECG, Complete urine examination, ICTC, 2dEcho (if necessary). The final diagnosis is noted and the data will be statistically analysed. Results: The age of the patients ranged from 21-75 years with a mean age of 49.42 years. Predominant age group was 41-60 years accounting for 49%. 48% had history of smoking and all the smokers in the study were males. Hypertension was the most common associated medical condition (27%) followed by Diabetes Mellitus (22%). Tuberculosis was the most common underlying lung disease from the history (36%). Consolidation was the most common radiographic feature in 39% patients. Suspected clinical diagnosis was made in most of the cases. Tuberculosis was the most common final diagnosis of our study. Out of 34 cases, 21 cases were diagnosed by sputum for AFB and remaining 13 cases were diagnosed with the help of Fibre-optic bronchoscopy. 5 cases out of tuberculosis patients were retro-viral positive. All the retroviral positive cases (5%) were diagnosed as Tuberculosis. Of all the 20 cases of bronchiectasis 16 cases were confirmed by HRCT and remaining 4 showed characteristic clinical features and changes of bronchiectasis on chest radiographs. 13 cases (13%) were diagnosed as lung cancer, out of which 6 cases were squamous cell carcinoma, 2 cases were small cell carcinoma, 2 cases were secondaries in the lung, 1 case was adeno carcinoma, 1 case was poorly differentiated cell carcinoma and 1 case was carcinoid. Pneumonia was present in 9 cases (9%) and bacterial infection was the most common cause. 6 cases (6%) were diagnosed as Chronic bronchitis. All the cases were males with positive history of smoking. Diagnosis was made based on clinical history, chest radiograph, chest
Theoretical Astrophysics: Active Galactic Nuclei

EUV observations could provide valuable and unique information about the nature of active galactic nuclei. I discuss their potential usefulness and review some of the main results obtained so far with the ROSAT WFC and the EUVE instruments. About three dozen sources, mostly Seyfert galaxies and BL Lacertae objects, have already been identified, and spectroscopic measurements of several of them have yielded a number of surprises. However, more observations are clearly needed to confirm some of the reported spectral features and to validate their interpretation.
A penalty decomposition method for nuclear norm minimization with l1 norm fidelity term

It is well known that the nuclear norm minimization problems are widely used in numerous fields such as machine learning, system recognition, and image processing, etc. It has captured considerable attention and taken good progress. Many researchers have made great contributions to the nuclear norm minimization problem with \begin{document}$ l_{2} $\end{document} norm fidelity term, which is just able to deal with those problems with Gaussian noise. In this paper, we propose an efficient penalty decomposition(PD) method to solve the nuclear norm minimization problem with \begin{document}$ l_{1} $\end{document} norm fidelity term. One subproblem admits a closed-form solution due to its special structure, and another can also get a closed-form solution by linearizing its quadratic term. The convergence results of the proposed method are given as well. Finally, the effectiveness and efficiency of the proposed method are verified by some numerical experiments.
Generalized two-part fractional regression with cmp

Researchers who model fractional dependent variables often need to consider whether their data were generated by a two-part process. Two-part models are ideal for modeling two-part processes because they allow us to model the participation and magnitude decisions separately. While community-contributed commands currently facilitate estimation of two-part models, no specialized command exists for fitting two-part models with process dependency. In this article, I describe generalized two-part fractional regression, which allows for dependency between models’ parts. I show how this model can be fit using the community-contributed cmp command (Roodman, 2011, Stata Journal 11: 159–206). I use a data example on the financial leverage of firms to illustrate how cmp can be used to fit generalized two-part fractional regression. Furthermore, I show how to obtain predicted values of the fractional dependent variable and marginal effects that are useful for model interpretation. Finally, I show how to compute model fit statistics and perform the RESET test, which are useful for model evaluation.
Weighted Cluster Ensemble Based on Significance of Attribute

Cluster ensemble is a hot topic in data mining research.Resent research mostly pays little attention to the qualities of cluster members.However,bad cluster members and noise may affect the ensemble result.A weighted cluster ensemble approach was proposed.This approach set weights to all cluster members according to the significance of them relative to the ensemble result.The significance of each cluster member was evaluated through information mea-sures of significance of attribute in rough set theory.Then weighted co-association matrix was generated and the final ensemble result was obtained.The experimental results show that the proposed approach can handle well different-quality of cluster members and lessen the affect of noise effectively.Therefore,it can afford better ensemble result compared with general cluster ensemble methods.
Mid-infrared optical characterization of thin SiNx membranes.

The investigation of the optical constants (e.g., the refractive index n and the extinction coefficient κ) has been performed in the mid-infrared spectrum for various silicon nitride (SiNx) configurations. By exploiting the transfer matrix method formulation, photometric measurements of transmission and reflection have been used for iteratively calculating the optical parameters of interest. To ensure the reliability of the n and κ, the same material from which such parameters were extracted was deposited for three different thicknesses, e.g., 600, 200, and 100 nm. While the former is optically characterized, the remaining two are used for validation purposes. For each experimental/calculated comparison, the average (made over the whole considered spectrum interval) of the relative error never exceeds 1.5%, which ensures the correctness of the given n and κ. For the sake of completeness, a detailed analysis of the intrinsic limitations arising from the very nature of the method will also be conducted.
Bayesian Estimation of the Scale Parameter of the Weimal Distribution

This article aims at estimating the scale parameter of the Weimal distribution using Bayesian method and comparing the estimators obtained to the estimator of the scale parameter obtained from the method of maximum likelihood. Under Bayesian approach, the estimators are obtained by using uniform prior and Jeffrey’s prior with the adoption of the precautionary, quadratic and square error loss functions. A derivation and discussion2ws under maximum likelihood estimation is also done. The above methods of estimation employed in this paper are compared based on their mean square errors (MSEs) through a simulation study carried out in R statistical software with different sample sizes. The results indicate that the most appropriate method for the scale parameter is precautionary loss function under either uniform or Jeffrey’s prior irrespective of the sample sizes allocated and the values taken by the other parameters.
Fast time series detrending with applications to heart rate variability analysis

In this paper, we discuss a new fast detrending method for the nonstationary RR time series used in Heart Rate Variability (HRV) analysis. The described method is based on the diffusion equation, and we show numerically that it is equivalent to the widely used Smoothing Priors Approach (SPA) and Wavelet Smoothing Approach (WSA) methods. The speed of the proposed method is comparable to the WSA method and it is several orders of magnitude faster than the SPA method, which makes it suitable for very long time series analysis.
Implementation of a Scale-Lab Lower-Limb Exoskeleton with Motion in Three Anatomical Planes

Abstract This work deals with modeling, simulating and construction of a lower-limb exoskeleton with motion in the three anatomical planes, as well as to evaluate its performance to resolve trajectory tracking by means of feedback control schemes. The purpose is to create a scale-lab platform of a full-actuated exoskeleton to test tracking control of the main lower-limb joints to reproduce anatomical movements of a human being with no neuromuscular diseases. This functional scale-lab platform is the first step towards the design of neuromuscular rehabilitation tests based in full-automated assistive devices such as a lower-limb exoskeleton.
Statistical Analyses of Ocean Wave and Wind Parameters Retrieved with an Empirical SAR Algorithm

A global dataset of two years (September 1998 to December 2000) of ERS SAR data was reprocessed to more than one million SAR imagettes. Met ocean Parameters like significant ocean wave height (Hs), wind speed (U10) and mean wave period (Tm-10) are derived from the SAR images using a new empirical algorithm CWAVE [1]. The results are compared to collocated ERS altimeter data and in Situ measurements from NOAA buoys and observations taken onboard the vessel Polarstern. It is shown that the SAR derived Hs is comparable in quality to altimeter measurements and can thus be used for real time assimilation.
Hyperlink Structure Inspired by Web Usage

This chapter describes how Web usage patterns can be used to improve the navigational structure of a Web site. The discussion begins with an illustration of visualization tools that study aggregate and individual link traversals. The use of data mining techniques such as classification, association, and sequence analysis to discover knowledge about Web usage, such as navigational patterns, is also discussed. Finally, a graph theoretic algorithm to create an optimal navigational hyperlink structure, based on known navigation patterns, is presented. The discussion is supported by analysis of realworld datasets. IntroductIon The structure of a Web site is usually based on how the designer envisions the site will be used. However once the Web site is put into use, the designer’s theoretical approach may turn out to be not so practical. It is only the actual use of the Web site that will give the designer clues about how the users navigate through the site and in what content they are most interested. For example, if the users are flocking towards a particular type of content, then the designer could think about establishing the site as an authority on that type of content by providing more information on the topic. Conversely, if a type of content is not generating much attention, it may be because the users are missing the information. The designer may look into changing its location on the Web site. DOI: 10.4018/978-1-59904-990-8.ch024
Sequential interaction group selection by the principle of correlation search for high-dimensional interaction models

s0 — the set of all relevant simple features; s0 — the set of relevant simple features contained in Z∗ 0 ; ΣZjk — the covariance matrix of Zjk = (Xj , Xk, XjXk); Ỹ (Z∗ 0 ) = Y −α−Σy,z∗ 0 Σ −1 z∗ 0 ,z ∗ 0 Z∗ 0 — the residual of Y adjusting for the effects of Z∗ 0 , that is, the difference between Y and its best linear predictor in terms of Z∗ 0 . Σy,zjk(Z 0 ) — the covariance vector between Ỹ (Z∗ 0 ) and Zjk; R(Ỹ (Z∗ 0 ),Zjk) — the multiple correlation coefficient between the Ỹ (z∗ 0) and Zjk given by Σyzjk(Z 0 )Σ −1 ZjkΣzjky(Z ∗ 0 ); r(ỹ(Z∗ 0 ), Zjk) = (1/n)ỹ >(Z∗ 0 )H(Zjk)ỹ(Z 0 ) — The sample version of R(Ỹ (Z∗ 0 ), Zjk).
Lie point symmetry, conservation laws and exact power series solutions to the Fujimoto-Watanabe equation

Abstract In this paper, the Fujimoto-Watanabe equation is studied with the help of the classical Lie point symmetry analysis method. Infinitesimal generators, the entire geometric vector fields and symmetry groups of the Fujimoto-Watanabe equation are given. By using symmetry reduction method, Fujimoto-Watanabe equation is reduced to nonlinear ordinary differential equations (NODEs), which has advantage to provide analytical solutions, and the exact analytical solutions are considered by virtue of the power series method. Finally, the symmetry of the Fujimoto-Watanabe equation with method of undetermined coefficients is obtained. As application, the conservation laws are constructed. It shows the integrability and the existence of soliton solutions of the Fujimoto-Watanabe equation.
Speech Emotion Recognition Using Semi-Definite Programming Multiple-Kernel SVM

To improve the accuracy of speech emotion recognition,a multi-class classifier with binarytree structure is adopted,which includes building the multi-kernel support vector machine( SVM) classifier model solved by semi-definite programming method,and using the root mean square error and maximum error to evaluate the performance of the classifier. Through the test on the parameter set obtained by feature selection algorithm,the results of experiments show that the total recognition accuracy of the proposed multiple-kernel SVM classifier model using semi-definite programming is 88. 614%,which is12. 376% higher than that of single-kernel SVM model. Moreover the multiple-kernel SVM model can reduce the total error accumulation and confusion between emotion states.