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Experimental and Numerical Analyses of the Pull-out Response of a Steel Post/Bovine Bone Cementless Fixation

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Journal of Bionic engineering 2012年第4期9卷 501-507页

作者： Khaled Gammoudi Mohamed Kharrat Maher Dammak National engineering School of Sfax Electromechanical Systems Laboratory Soukra road km 3.5 B.P. 1173 3038 Sfax Tunisia Higher institute of Technological studies of gafsa University campus Sidi Ahmed Zarrouk 2112 Gafsa Tunisia Faculty of Sciences of gafsa University campus Sidi Ahmed Zarrouk 2112 Gafsa Tunisia preparatory institute for engineering studies of Sfax Menzel Chaker Road Km 0.5 B.P. 1172 3018 Sfax Timisia

Effect of initial interference fit on pull-out strength in cementless fixation between bovine tibia and smooth stainless steel post was investigated in this study. Compressive behavior of bovine spongious bone was studied using mechanical testing in order to evaluate the elastic-plastic properties in different regions of the proximal tibia. Friction tests were carried out in the aim to evaluate the friction behavior of the contact between bovine spongious bone and stainless steel. A cylindrical stainless steel post inserted in a pre-drilled bovine tibia with an initial interference fit was taken as an in vitro model to assess the contribution of post fixation to the initial stability of the Total Knee Arthroplasty （TKA） tibial component. Pull-out experiments were carried out for different initial interference fits. Finite Element Models （FEM） using local elastic-plastic properties of the bovine bone were developed for the analysis of the experimental ultimate pull-out force results. At the post/bone interface, Coulomb friction was considered in the FEM calculations with pressure-dependent friction coefficient. It was found that the FEM results of the ultimate force are in good agreement with the experimental results. The analysis of the FEM interfacial stresses indicates that the micro-slip initiation depends on the local bone properties.

关键词： total knee arthroplasty bovine bone/steel post fixation interference fit puU-out strength FEM

Exploring Sequential Feature Selection in Deep Bi-LSTM Models for Speech Emotion Recognition

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Computers, Materials & Continua 2024年第2期78卷 2689-2719页

作者： Fatma Harby Mansor Alohali Adel Thaljaoui Amira Samy Talaat Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesCairo12622Egypt Department of Computer Science and Information College of Science at Zulfi Majmaah UniversityP.O.Box 66Al-Majmaah11952Saudi Arabia preparatory institute for engineering studies of gafsa ZarrougGafsa2112Tunisia Computers and Systems Department Electronics Research InstituteCairo12622Egypt

Machine Learning(ML)algorithms play a pivotal role in Speech Emotion Recognition(SER),although they encounter a formidable obstacle in accurately discerning a speaker’s emotional *** examination of the emotional states of speakers holds significant importance in a range of real-time applications,including but not limited to virtual reality,human-robot interaction,emergency centers,and human behavior *** identifying emotions in the SER process relies on extracting relevant information from audio *** studies on SER have predominantly utilized short-time characteristics such as Mel Frequency Cepstral Coefficients(MFCCs)due to their ability to capture the periodic nature of audio signals *** these traits may improve their ability to perceive and interpret emotional depictions appropriately,MFCCS has some *** this study aims to tackle the aforementioned issue by systematically picking multiple audio cues,enhancing the classifier model’s efficacy in accurately discerning human *** utilized dataset is taken from the EMO-DB database,preprocessing input speech is done using a 2D Convolution Neural Network(CNN)involves applying convolutional operations to spectrograms as they afford a visual representation of the way the audio signal frequency content changes over *** next step is the spectrogram data normalization which is crucial for Neural Network(NN)training as it aids in faster *** the five auditory features MFCCs,Chroma,Mel-Spectrogram,Contrast,and Tonnetz are extracted from the spectrogram *** attitude of feature selection is to retain only dominant features by excluding the irrelevant *** this paper,the Sequential Forward Selection(SFS)and Sequential Backward Selection(SBS)techniques were employed for multiple audio cues features ***,the feature sets composed from the hybrid feature extraction methods are fed into the deep Bidirectional Long Short

关键词： Artificial intelligence application multi features sequential selection speech emotion recognition deep Bi-LSTM

Crystal Structure, Vibrational studies, Optical Properties and TG-DTA Investigations of a New Chlorocadmate Templated by 1-Methylimidazolium

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Chemical Research in Chinese Universities 2016年第2期32卷 253-260页

作者： Melek HAJJI Taha GUERFEL Laboratory of Electrochemistry Materials and Environment preparatory institute for engineering studies Kairouan University 3100 Kairouan Tunisia

Chemical preparation, X-ray single crystal diffraction, thermal analysis, electrochemical measurements, IR, Raman and UV spectroscopic investigations of a novel organic-inorganic hybrid material（CaH7N2）CdCl3（H2O）（1） were described. 1-Methylimidazolium aquapentachlorocadmate（II） crystallized in the monoclinic system with P2 1/n space group. Its structure provided a new interesting example of infinite inorganic layers of [CdCl3（H2O）]n n- centered by （-101） planes. The [CdCl5（H2O）]- anions were interconnected by O-H...Cl hydrogen bonds. Acidic protons of the chloride group were transferred to the organic molecule, giving the singly-protonated cations. The ability of ions to form a spontaneous three-dimensional structure through O-H…Cl and N-H…Cl hydrogen bonds was fully utilized. These hydrogen bonds induced notable vibrational effects. IR and Raman spectra were reported and discussed on the basis of group theoretical analysis and on quantum chemical density theory（DFT） calculation. The molecular HOMO-LUMO compositions and their respective energy gaps were also drawn to explain the activity of our compound. The role of the intermolecular interaction in this crystal was analyzed. The optical study was also investigated by UV-Vis absorption spectrum. Thermal analysis reveals the hydrous character of the compound. Cyclic voltammetry was studied to evaluate the spectral and structural changes accompanying electron transfer.

关键词： Chlorocadmate(II) X-Ray diffraction Thermal analysis(TG-DTA) Vibrational study Density functional theory calculation Cyclic voltammetry

Data Augmentation and Random Multi-Model Deep Learning for Data Classification

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Computers, Materials & Continua 2023年第3期74卷 5191-5207页

作者： Fatma Harby Adel Thaljaoui Durre Nayab Suliman Aladhadh Salim EL Khediri Rehan Ullah Khan Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesEgypt Department of Computer Systems engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawar25120Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Sciences Faculty of Sciences of GafsaUniversity of GafsaGafsaTunisia

In the machine learning(ML)paradigm,data augmentation serves as a regularization approach for creating ML *** increase in the diversification of training samples increases the generalization capabilities,which enhances the prediction performance of classifiers when tested on unseen *** learning(DL)models have a lot of parameters,and they frequently ***,to avoid overfitting,data plays a major role to augment the latest improvements in ***,reliable data collection is a major limiting ***,this problem is undertaken by combining augmentation of data,transfer learning,dropout,and methods of normalization in *** this paper,we introduce the application of data augmentation in the field of image classification using Random Multi-model Deep Learning(RMDL)which uses the association approaches of multi-DL to yield random models for *** present a methodology for using Generative Adversarial Networks(GANs)to generate images for data *** experiments,we discover that samples generated by GANs when fed into RMDL improve both accuracy and model *** across both MNIST and CIAFAR-10 datasets show that,error rate with proposed approach has been decreased with different random models.

关键词： Data augmentation generative adversarial networks classification machine learning random multi-model deep learning

Geochemical Behaviour of the Tunisian Background Aerosols in Sirocco Wind Circulations

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Advances in Atmospheric Sciences 2009年第3期26卷 390-402页

作者： Chafai AZRI Habib ABIDA Khaled MEDHIOUB Department of Geology Faculty of Sciences of Sfax (FSS)BP 11713000 SfaxTunisia institute of preparatory engineering studies of Sfax (IPEIS) BP 8053018 SfaxTunisia

This study examines spatial and time evolutions of the principal constituents of the Tunisian background aerosols under Sirocco wind circulations. Aerosols coming from the Sahara Desert were found to be loaded with particulate matter, especially silicon. The aerosols were shown to have varying geochemical behaviour along the ＂South-North＂ displacement of the Saharan plumes, depending on the wind flow characteristics, geomorphologic features and the nature of soils swept by the wind. In the south and the center part of the country, the transfer of aerosol constituents to the soil （by gravity and/or impaction） was probably predom- inated by localized enrichment phenomena. The latter are reinforced by the effect of turbulent winds over bare soils, wind wakes and probably selective disintegration, especially in the vicinity of the geomorphologic features of central Tunisia. These relatively high features, extending over important distances, appear to be of paramount importance for the phenomena of redistribution of aerosol constituents even during periods without Sirocco wind circulations. In the northern section of the country, aerosol constituent concentrations dropped to almost 50%, in spite of the abundance of localized turbulent winds. This may be explained by the effect of forests and the relatively dense vegetation cover, which clearly reinforces the transfer phenomena to the soil and the attenuate of dust entrainment.

关键词： aerosols Sahara Sirocco Tunisia turbulent winds

Natural Convection in a Horizontal Cylinder with Partial Heating: Energy Efficiency Analysis

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Journal of Thermal Science 2020年第6期29卷 1531-1550页

作者： MAZGAR Akram JARRAY Khouloud HAJJI Fadhila BEN NEJMA Faycal The Higher institute of Applied Sciences and Technology of Sousse University of SousseTunisia-Ibn Khaldun StreetTaffala City4003 SousseTunisia The preparatory institute for engineering studies of Monastir University of MonastirTunisia-Rue Ibn El Jazzar5019 MonastirTunisia

The current study reports a numerical analysis of free convection of air in an isothermal horizontal cylinder,cooled and heated at different wall *** heater sizes are discussed in this *** first heated zone is spread across one-quarter of the sidewall;the second is uniformly distributed over the half of the wall and the third active wall covers three-quarters of the *** various locations are considered and examined for each active zone of the *** computation is carried out for Rayleigh number ranging from 102 to *** results characterizing heat transfer and flow features are achieved using an iterative model developed in COMSOL *** effect of Rayleigh number on heat transfer and fluid flow characteristics within the cavity are *** attention is paid to the influence of heater location and heater size on energy *** is found that the mean Nusselt number and dimensionless velocity increase when increasing the Rayleigh ***,the optimal level of energy efficiency is achieved if the heating zone is centered at the upper part of the cylinder,regardless of the heater *** is also shown that the optimal configuration providing higher energy efficiency is obtained when three-quarters of the sidewall are locally heated,and more precisely,if the active zone is centered at the top of the cylinder.

关键词： natural convection cylinder partial heating energy efficiency Rayleigh number

George Orwell＇s Non-linear Narrative in The Road To Wigan Pier

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Journal of Literature and Art studies 2014年第11期4卷 872-890页

作者： Bechir Chaabane preparatory institute for engineering studies of Sfax Sfax Tunisia SfaxUniversity Sfax Tunisia

Orwell＇s text The Road to Wigan Pier, henceforth referred to as RWP, is problematic due to the ambiguity of its status as a literary genre. The text is subversive on many levels, namely on the level of form. In order to show some aspects of the author＇s challenge of the conventional norms and methods of literary writing, a comparison between the writer＇s original diary of the journey to the industrial North of England, the main site of the coal mines, and the present book could be of great import. This reveals the author＇s genuine intellectual ability to manipulate and rearrange the events and scenes of the story on the discourse level. The author＇s manipulation and rearrangement of the story （the journey）, events and scenes, clearly reveals his potential literary creativity and imagination. Orwell has deployed many strategies to fulfil this purpose. Each strategy is actually a contribution to the author＇s overall argument and at the same time it constitutes a further aspect of subversion. The first aspect of subversion lies on the level of form itself. The form of the book is effectively very challenging. Contrary to the conventional view of the fictional novel, the study of Orwell＇s text based on Grrard Genette＇s model reveals his challenge of the basic novelistic parameters. The novelistic ingredients such as setting, characterisation, and plot development have been treated in a subverting way. Though not totally discarded, they have been manipulated for the purpose of the author＇s general argument, which is Socialism. For instance, characters in the novel are treated as types, that is, representatives of their class. Besides, the order of scenes and events has been rearranged for the purpose of foregrounding representative scenes like the description of the Brookers＇ lodging-house. The author＇s treatment of the material of the text is primarily based on his personal experience as an outside observer during his journey to the North. Therefore, the exploration of

关键词： literariness fictionality temporality non-linearity defamiliarization structuralism formalism socialism

Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners:A Recommendation System

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Computers, Materials & Continua 2024年第4期79卷 351-372页

作者： Ameni Ellouze Nesrine Kadri Alaa Alaerjan Mohamed Ksantini Control and Energy Management Laboratory National Engineering SchoolPreparatory Institute for Engineering StudiesUniversity of SfaxSfax3029Tunisia Higher institute of Computer Science and Communication Technologies University of SousseSousseBN19RHTunisia College of Computer and Information Sciences Jouf UniversityPO Box 2014SakakahSaudi Arabia

Recognizing human activity(HAR)from data in a smartphone sensor plays an important role in the field of health to prevent chronic *** and weekly physical activities are recorded on the smartphone and tell the user whether he is moving well or ***,smartphones and their associated sensing devices operate in distributed and unstable ***,collecting their data and extracting useful information is a significant *** this context,the aimof this paper is twofold:The first is to analyze human behavior based on the recognition of physical *** the results of physical activity detection and classification,the second part aims to develop a health recommendation system to notify smartphone users about their healthy physical behavior related to their physical *** system is based on the calculation of calories burned by each user during physical *** this way,conclusions can be drawn about a person’s physical behavior by estimating the number of calories burned after evaluating data collected daily or even weekly following a series of physical *** identify and classify human behavior our methodology is based on artificial intelligence models specifically deep learning techniques like Long Short-Term Memory(LSTM),stacked LSTM,and bidirectional *** human activity data contains both spatial and temporal information,we proposed,in this paper,to use of an architecture allowing the extraction of the two types of information *** Convolutional Neural Networks(CNN)has an architecture designed for spatial information,our idea is to combine CNN with LSTM to increase classification accuracy by taking into consideration the extraction of both spatial and temporal *** results obtained achieved an accuracy of 96%.On the other side,the data learned by these algorithms is prone to error and *** overcome this constraint and improve performance(96%),we proposed to use the

关键词： Human physical activities smartphone sensors deep learning distributed monitoring recommendation system uncertainty healthy calories

Stochastic Nicholson's blowflies model with delays

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International Journal of Biomathematics 2023年第1期16卷 97-128页

作者： Nadia Belmabrouk Mondher Damak Mohsen Miraoui Faculty of Sciences Sfac UniversityBP 1171 SfacTunisia Paris-East Creteil UniversityFrance Faculty of Sciences Sfac UniversityBP 1171 SfacTunisia preparatory institute for engineering studies of Kairouan University of Kairouan Tunisia

In this research work,we introduce a new concept of double measure ergodic processes to identify the space of double measure pseudo almost periodic(or pap)processes in the pth mean *** display some findings regarding the completeness as well as the composition theorems and the invariance of the space consisting in double measure pap *** by the above-mentioned results,the Banach fixed point theorem and the stochastic analysis techniques,we prove the existence,uniqueness and the global exponential stability of doubly measure pseudo almost periodic mild solution for a class of stochastic Nicholson's blowflies model with mixed delays in a separable real Hilbert *** concluding part of the work is crowned with an example to confirm the reliability and feasibility of our findings.

关键词： Pseudo almost periodic solution measure theory fixed point theorem stochastic Nicholson's blowflies model