39 research outputs found

    Short-term Euro-Dollar exchange rate forecasting using regression models

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    In this project, our goal is to investigate mathematical and statistical models to forecast the short-term exchange rate. Notably, we are considering the 15-minutes time frame Euro-Dollar (EUR/USD) currency pair as the object of the project. There are several different major currency pair such as EUR/USD USD/JPY, GBP/USD, USD/CHF, AUD/USD, and USD/CAD. We chose EUR/USD since it is the most traded currency pair in the market; however, most of our work can be applied to other currency pair with some modifications. In addition, we will also focus on polynomial regression models, which we hypothesized to be a better fit given the non-linear nature of the data

    Development of a new ecological material based on Moroccan industrial waste for road construction

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    Currently, the recovery of industrial waste to reduce their quantities and their impact on the environment is one of the problems to be tackled in research. The Phosphogypsum (PG) is an industrial waste produced by the attack of sulfuric acid on natural phosphate. PG contains harmful elements to the ecosystems and human health, in particular heavy metals and radionuclides [1]. The electric steel is a growth industry worldwide, in particular in the United States, it raised from less than 50% in 2000 to more than 68% in 2018 (Létard, 2019). This growth is accompanied by a significant increase in slag waste. In Morocco, OCP (Jorf Lasfar) generates more than 15 million tonnes per year of and the steel company (SONASID) produces slag waste (SC) 150,000 tonnes per year. Adding this waste to concrete may increase its mechanical strength. The Aim of this study is to incorporate these wastes with Bentonite of deposit Trebia (Nador, Morocco) stabilized by Lime to assess stabilization effect of bentonite in the presence of water (W). For this purpose the mixtures (BLW), (BL-PG-W) and (BL-PG-Ss-W), cured for 3, 7, 15 and 28 days, were analyzed by X-ray diffraction (XRD), infrared (IR), thermal analysis (DTA/TGA or DSC/TGA), scanning electron microscopy (SEM) and unconfined compressive strength (UCS). The kinetics setting and hardening of B-L and B-L-PG mixtures are slow. The addition of PG to the mixture (B-L) allows ettringite formation after 7 days of hydration and stratlingite after 28 days. The Slag accelerates the setting of the mixture and activates the pozzolanic reactions of bentonite. Mechanical strength is accelerated for the mixture (B-L-PG-Ss) comparable to other mixtures; it increases only after 3 days of setting. This improvement was confirmed for other curing times. The presence of Ye’elimite and other hydraulic binder phases present in slag could explain the increased hardening showed for B-L-PG-Ss mixtur

    Physico-mechanical behavior of solid waste-bentonite-lime based mixtures

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    This study aim to valorizing phosphogypsum (PG) and steel slag (Sc) in geotechnical applications by incorporating them in bentonite (B) stabilized by lime (L). Mineralogical (XRD), spectroscopic (IR-FTIR), geotechnical (Atterberg limits) analyzes were carried out on the raw material. Resistance to axial compression (UCS) was performed on cylindrical specimens prepared for mixtures B-L, B-L-PG and B-L-PG-Sc and after 3, 7, 15 and 28 days of hardening. The results obtained revealed that the mechanical strength increases with the addition of PG, and reaches its maximum value for a water content equal to 46%. Slag improves the strength of the B-L-PG mixture. The pH and the electrical conductivity of the solutions containing in porosity of the various mixtures decrease over time. The observed decrease is greatest for B-L-PG and B-L-PG-Sc mixtures

    Thermodynamics and kinetics of the removal of methylene blue from aqueous solution by raw kaolin

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    peer reviewedRemediation of contaminated water with organic dyes originated from variety of industrial processes deserves increased attention. Raw clay is an effective low-cost and eco-environmentally friendly adsorbent for the removal of methylene blue (MB) from solution. This study aims to determine kinetics and thermodynamics of MB adsorption onto raw kaolin clays (halloysite and kaolinite/illite) from northeast of Morocco. The apportion capacity of the two kaolin clays to adsorb the MB dye by varying temperature and pH conditions was studied. The thermodynamic parameters show that the sorption of MB is spontaneous and endothermic for halloysite-rich clay, whereas adsorption onto kaolinite/illite is inhibited by electrostatic exothermic effects and the sorption is thermodynamically unfavorable. The kinetic study showed that the adsorption capacity of MB on halloysite is greater than on kaolinite. The intraparticle diffusion process controls the adsorption reaction, and the kinetic is more important for halloysite

    The effects of normal mixtures and autocorrelation on the fraction non-conforming

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    In this article the effects of mixtures of two normal distributions on the fraction nonconforming are studied in the context of capability analysis. When the output from several processes is mixed, the quality characteristic variables of the resulting mix may result in a normal mixture distribution. This can happen in cases such as monitoring an output from several suppliers, several machines, or several workers. This study considered the independence case and autocorrelated processes for a mixture of two normal distributions, using a autoregressive model of order one, AR(1). It is shown that the true attained process fraction nonconforming (corresponding to specific values for some capability index) can be very different from what is expected when the data are independent normal random variables.Journal ArticleAuthor's accepted manuscrip

    A bibliometrics-enhanced, PAGER-Compliant scoping review of the literature on paralympic powerlifting. Insights for practices and future research

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    Paralympic powerlifting (PP), formerly known as “International Paralympic Committee” (IPC) powerlifting, is the format of powerlifting adapted for athletes with disabilities, and it differs from the version for able-bodied athletes in that it consists of bench press only. According to the mandate of the IPC, PP athletes should be enabled to achieve sporting excellence. As such, rigorous evidence is needed. However, to the best of our knowledge, there exists no systematic assessment of the body of scholarly evidence in the field of PP. Therefore, the present study was conducted to fill in this gap of knowledge, by conducting a scoping review of the literature enhanced by a bibliometrics analysis and by mining two major scholarly databases (MEDLINE via PubMed and Scopus). The aim was to provide a review/summary of the findings to date to help practitioners and athletes. Thirty-seven studies were retained in the present study. These covered the following thematic areas: (i) warm-up strategies (n = 2); (ii) aspects of training (n = 2); (iii) physiological aspects and responses (n = 2); (iv) psychological aspects and responses (n = 2); (v) biomechanics of bench press (n = 8); (vi) recovery strategy (n = 5); (vii) impact of the disability and type of disability (n = 4); (viii) epidemiology of PP (n = 6); and (ix) new analytical/statistical approaches for kinematics assessments, internal load monitoring, and predictions of mechanical outputs in strength exercises and in PP (n = 6). Bibliometrics analysis of the PP-related scientific output revealed that, despite having already become a paralympic sports discipline in 1984, only in the last few years, PP has been attracting a lot of interest from the community of researchers, with the first scholarly contribution dating back to 2012, and with more than one-third of the scientific output being published this year (2022). As such, this scholarly discipline is quite recent and young. Moreover, the community dealing with this topic is poorly interconnected, with most authors contributing to just one article, and with one single author being a hub node of the author network. Distributions of the number of articles and the authors/co-authors were found to be highly asymmetrical, indicating that this research is still in its infancy and has great room as well as great potential to grow. Reflecting this, many research topics are also overlooked and underdeveloped, with the currently available evidence being based on a few studies

    Adaptive multiscale stereo images matching based on wavelet transform modulus maxima

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    In this paper we propose a multiscale stereo correspondence matching method based on wavelets transform modulus maxima. Exploitation of maxima modulus chains has given us the opportunity to refine the search for corresponding. Based on the wavelet transform we construct maps of modules and phases for different scales, then extracted the maxima and then we build chains of maxima. Points constituents maxima modulus chains will be considered as points of interest in matching processes. The availability of all its multiscale information, allows searching under geometric constraints, for each point of interest in the left image corresponding one of the best points of constituent chains of the right image. The experiment results demonstrate that the number of corresponding has a very clear decrease when the scale increases. In several tests we obtained the uniqueness of the corresponding by browsing through the fine to coarse scales and calculations remain very reasonable.Journal ArticleFinal article publishe

    Phosphogypsum and Black Steel Slag as Additives for Ecological Bentonite-Based Materials: Microstructure and Characterization

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    peer reviewedThe Black Steel slag (Ss) and phosphogypsum (PG) are industrial wastes produced in Morocco. In order to reduce these two wastes and to evaluate their pozzolanic reactivity in the presence of water, they were incorporated into bentonite (B) mixed with lime (L). The studied mixtures (BLW, BL–PG–W and BL–PG–Ss–W) were analyzed by X-ray diffraction, Infrared spectroscopy, Raman spectroscopy and SEM/EDX analysis. Compressive strength tests were performed on hardened specimens. The results obtained show that the hydration kinetics of the B–L–W and B–L–PG–W mixtures are slow. The addition of PG to a bentonite––lime mixture induces the formation of new microstructures such as hydrated calcium silicate (C–S–H) and ettringite, which increases the compressive strength of the cementitious specimens. The addition of the Ss to a mixture composed of 8%PG and 8%L–B accelerates the kinetics of hydration and activates the pozzolanic reaction. The presence of C2S in the slag helps to increase the mechanical strength of the mixture B–L–PG–Ss. The compressive strength of the mixtures BL–W, BL–PG–W and BL–PG–Ss–W increases from 15 to 28 days of setting. After 28 days of setting, 8% of Sc added to the mixture 8% PG–8%L–B is responsible for an increase of the compressive strength to 0.6 MPa

    On wavelet-based statistical process monitoring

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    This paper presents an overview of wavelet-based techniques for statistical process monitoring. The use of wavelet has already had an effective contribution to many applications. The increase of data availability has led to the use of wavelet analysis as a tool to reduce, denoise, and process the data before using statistical models for monitoring. The most recent review paper on wavelet-based methods for process monitoring had the goal to review the findings up to 2004. In this paper, we provide a recent reference for researchers and engineers with a different focus. We focus on: (i) wavelet statistical properties, (ii) control charts based on wavelet coefficients, and (iii) wavelet-based process monitoring methods within a machine learning framework. It is clear from the literature that wavelets are widely used with multivariate methods compared to univariate methods. We also found some potential research areas regarding the use of wavelet in image process monitoring and designing control charts based on wavelet statistics, and listed them in the paper.Journal ArticleAuthor's accepted manuscrip
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