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Hydro-mechanical analysis of rainfall-induced fines migration process within unsaturated soils

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Journal of Mountain Science 2017年第12期14卷 2603-2619页

作者： LEI Xiao-qin YANG Zong-ji HE Si-ming LIU En-long WONG Henry LI Xin-po Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of Sciences College of Water Resource & Hydropower Sichuan University Center for Excellence in Tibetan Plateau Earth Sciences CAS Laboratoire de Génie Civil et Batiment Ecole Nationale des Travaux Publics de l’Etat Université de Lyon

Seepage-induced fines migration under rainfall infiltration is a main cause leading to shallow failures in loose colluvial slopes. To describe the full process of fines migration within unsaturated soils during rainfall infiltration and the associated hydromechanical behaviors, a seepage-erosion-deformation coupled formulation is proposed in this paper. The governing equations proposed are implemented into a finite element code and used to investigate the influences of skeleton deformation on the rainfall infiltration process through unsaturated soil *** numerical results were presented in detail for a better understanding of the rainfall-induced fines migration process within unsaturated soils. Further,the obtained results are integrated into an infinite slope model for slope stability analysis. The results show that, the skeleton deformation will affect the rainfall infiltration rate and hence the timing of slope failures; meanwhile their influences are more evident if the fines deposition process is taken into ***, the slope stability could be reduced gradually due to the soil strength loss along with loss of fine particles. Therefore, particular attentions should be paid to analyzing the stability of soil slopes susceptible to internal erosion.

关键词： Rainfall infiltration Fines migration Internal erosion Seepage deformation Slope stability

Scalable batch fabrication of ultrathin flexible neural probes using a bioresorbable silk layer

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Microsystems & Nanoengineering 2022年第1期8卷 305-315页

作者： Clement Cointe Adrian Laborde Lionel G.Nowak Dina N.Arvanitis David Bourrier Christian Bergaud Ali Maziz LAAS-CNRS 7 Avenue du Colonel RocheF-31400 ToulouseFrance CerCo UniversitéToulouse 3CNRSPavillon BaudotCHU PurpanBP 2520231052 ToulouseFrance UMR Institut National de la Santéet de la Recherche Médicale 1048 Institut des Maladies Métaboliques et CardiovasculairesToulouseFrance

Flexible intracerebral probes for neural recording and electrical stimulation have been the focus of many research works to achieve better compliance with the surrounding tissue while minimizing *** have been explored to find the best way to insert flexible probes into the brain while maintaining their flexibility once ***,we present a novel and versatile scalable batch fabrication approach to deliver ultrathin and flexible probes consisting of a silk-parylene *** biodegradable silk layer,whose degradation time is programmable,provides a temporary and programmable stiffener to allow the insertion of ultrathin parylene-based flexible *** innovative and robust batch fabrication technology allows complete freedom over probe design in terms of materials,size,shape,and *** demonstrate successful ex vivo insertion of the probe with acute high-fidelity recordings of epileptic seizures in field potentials as well as single-unit action potentials in mouse brain *** novel technological solution for implanting ultraflexible devices in the brain while minimizing rejection risks shows high potential for use in both brain research and clinical therapies.

关键词： batch recording insertion

A roadmap for security challenges in the Internet of Things

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Digital Communications and Networks 2018年第2期4卷 118-137页

作者： Arbia Riahi Sfar Enrico Natalizio Yacine Challal Zied Chtourou VRIT Lab - Military Academy Nabeul Tunisia Sorbonne Universites Universite de technologie de Compiegne CNRS Heudiasyc UMR 7253 CS 60319 60203 Compiegne Cedex France Laboratoire de Methodes de Conception de Systemes (LMCS) Ecole Nationale Superieure d'Informatique (ESI) Centre de Recherche sur I'Information Scientifique et Technique (CERIST) Algiers Algeria

Unquestionably, communicating entities （object, or things） in the Internet of Things （IoT） context are playing an active role in human activities, systems and processes. The high connectivity of intelligent objects and their severe constraints lead to many security challenges, which are not included in the classical formulation of security problems and solutions. The Security Shield for IoT has been identified by DARPA （defense Advanced Research Projects Agency） as one of the four projects with a potential impact broader than the Internet itself. To help interested researchers contribute to this research area, an overview of the loT security roadmap overview is presented in this paper based on a novel cognitive and systemic approach. The role of each component of the approach is explained, we also study its interactions with the other main components, and their impact on the overall. A case study is presented to highlight the components and interactions of the systemic and cognitive approach. Then, security questions about privacy, trust, identification, and access control are discussed. According to the novel taxonomy of the loT framework, different research challenges are highlighted, important solutions and research activities are revealed, and interesting research directions are proposed. In addition, current stan dardization activities are surveyed and discussed to the ensure the security of loT components and applications.

关键词： Internet of Things Systemic and cognitive approach Security Privacy Trust Identification Access control

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线状卡宾碳的研究进展和稳定性讨论(英文)

新型炭材料 2005年第1期20卷 83-92页

作者：传秀云王统宽 Jean Baptiste DONNET 北京大学地球与空间学院北京100871 URCOM/UFRST ecole nationale Supérieurede Chimiede Mulhouse/Universitéde Haute Alsace

综合评述了所有存在的太空星际空间、地球和多种生物体中的线状卡宾碳以及在实验室合成的各种线状卡宾碳,重点评述了线状卡宾碳的稳定性和存在性。分析认为线状卡宾碳的稳定性与其类型、所处气氛、环境有关,提出可以通过插层化合物和端... 详细信息

综合评述了所有存在的太空星际空间、地球和多种生物体中的线状卡宾碳以及在实验室合成的各种线状卡宾碳,重点评述了线状卡宾碳的稳定性和存在性。分析认为线状卡宾碳的稳定性与其类型、所处气氛、环境有关,提出可以通过插层化合物和端部基团连接等方法获得稳定的线状卡宾碳。

关键词：线状卡宾碳稳定性插层化合物化学结构化学性质

Lyapunov-Based Dynamic Neural Network for Adaptive Control of Complex Systems

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Journal of Software Engineering and Applications 2012年第4期5卷 225-248页

作者： Farouk Zouari Kamel Ben Saad Mohamed Benrejeb Unité de Recherche LARA Automatique Ecole Nationale d’Ingénieurs de Tunis (ENIT) Tunis Tunisia Unité de Recherche LARA Automatique Ecole Nationale d’Ingénieurs de Tunis (ENIT) Tunis Tunisia.

In this paper, an adaptive neuro-control structure for complex dynamic system is proposed. A recurrent Neural Network is trained-off-line to learn the inverse dynamics of the system from the observation of the input-output data. The direct adaptive approach is performed after the training process is achieved. A lyapunov-Base training algorithm is proposed and used to adjust on-line the network weights so that the neural model output follows the desired one. The simulation results obtained verify the effectiveness of the proposed control method.

关键词： Complex Dynamical Systems Lyapunov Approach Recurrent Neural Networks Adaptive Control

Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states

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The Journal of Biomedical Research 2020年第3期34卷 162-169页

作者： Itaf Ben Slimen Larbi Boubchir Hassene Seddik Centre de Recherche et de Production Research Lab. Ecole Nationale Superieure des Ingenieurs de TunisUniversity of TunisTunis 1008Tunisia Laboratoire d'Informatique Avancee de Saint-denis Research Lab. University of Paris 8Saint-DenisCedex 93526France

Epileptic seizures are known for their unpredictable ***,recent research provides that the transition to seizure event is not random but the result of evidence ***,a reliable method capable to detect these indications can predict seizures and improve the life quality of epileptic *** periods are generally characterized by epileptiform discharges with different changes including spike rate variation according to the shapes,spikes,and the *** this study,spike rate is used as the indicator to anticipate seizures in electroencephalogram(EEG) *** detection step is used in EEG signal during interictal,preictal,and ictal periods followed by a mean filter to smooth the spike *** maximum spike rate in interictal periods is used as an indicator to predict *** the spike number in the preictal period exceeds the threshold,an alarm is *** the CHB-MIT database,the proposed approach has ensured92% accuracy in seizure prediction for all patients.

关键词： electroencephalogram epilepsy seizure prediction spikes detection

EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms

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The Journal of Biomedical Research 2020年第3期34卷 151-161页

作者： Itaf Ben Slimen Larbi Boubchir Zouhair Mbarki Hassene Seddik Centre de Recherche et de Production Research Lab. Ecole Nationale Superieure des Ingenieurs de TunisUniversity of TunisTunis 1008Tunisia Laboratoire d^nfbrmatique Avancee de Saint-denis Research Lab. University of Paris 8Saint-DenisCedex 93526France

The visual analysis of common neurological disorders such as epileptic seizures in electroencephalography(EEG) is an oversensitive operation and prone to errors,which has motivated the researchers to develop effective automated seizure detection *** paper proposes a robust automatic seizure detection method that can establish a veritable diagnosis of these *** proposed method consists of three steps:(i) remove artifact from EEG data using Savitzky-Golay filter and multi-scale principal component analysis(MSPCA),(ii) extract features from EEG signals using signal decomposition representations based on empirical mode decomposition(EMD),discrete wavelet transform(DWT),and dual-tree complex wavelet transform(DTCWT) allowing to overcome the non-linearity and non-stationary of EEG signals,and(iii) allocate the feature vector to the relevant class(i.e.,seizure class "ictal" or free seizure class "interictal") using machine learning techniques such as support vector machine(SVM),k-nearest neighbor(k-NN),and linear discriminant analysis(LDA).The experimental results were based on two EEG datasets generated from the CHB-MIT database with and without overlapping *** results obtained have shown the effectiveness of the proposed method that allows achieving a higher classification accuracy rate up to 100% and also outperforms similar state-of-the-art methods.

关键词： electroencephalography epileptic seizure detection feature extraction dual-tree complex wavelet transform machine learning

Travelling Wave Solutions to Stretched Beam's Equation: Phase Portraits Survey

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Communications in Theoretical Physics 2011年第4期55卷 605-608页

作者： Gambo Betchewe Kuetche Kamgang Victor Bouetou Bouetou Thomas Timoleon Crepin Kofane Higher Teacher's Training College of Maroua University of Maroua ecole nationale Superieure Polytechnique University of Yaounde I department of Physics Faculty of ScienceUniversity of Yaounde I

In this paper, following the phase portraits analysis, we investigate the integrability of a system which physically describes the transverse oscillation of an elastic beam under end-thrust. As a result, we find that this system actually comprises two families of travelling waves： the sub- and super-sonic periodic waves of positive- and negative- definite velocities, respectively, and the localized sub-sonic loop-shaped waves of positive-definite velocity. Expressing the energy-like of this system while depicting its phase portrait dynamics, we show that these multivaiued localized travelling waves appear as the boundary solutions to which the periodic travelling waves tend asymptotically

关键词： phase portraits elastic beam travelling waves

Benchmarks of 3D Laplace Equation Solvers in a Cubic Configuration for Streamer Simulation

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Plasma Science and Technology 2016年第5期18卷 538-543页

作者： Joseph-Marie PLEWA Olivier DUCASSE Philippe deSSANTE Carolyn JACOBS Olivier EICHWALD Nicolas RENON Mohammed YOUSFI Universite de toulouse UPS INPT LAPLACE (Laboratoire Plasma et Conversion d'Energie) Toulouse Cedex 9 F-31062 France Group of Electrical Engineering-Paris (GeePs) UMR 8507 CNRS CentraleSupelec Universite Paris-Sud-UPMC 11 rue Joliot-Curie Plateau de Moulon 91192 Gif-sur-Yvette Cedex F-91192 France CALMIP Universite de Toulouse-CNRS-INPT-INSA-UPS UMS 3667 France CNRS LAPLACE Toulouse F-31062 France

The aim of this paper is to test a developed SOR R＆B method using the Chebyshev accelerator algorithm to solve the Laplace equation in a cubic 3D configuration. Comparisons are made in terms of precision and computing time with other elliptic equation solvers proposed in the open source LIS library. The first results, obtained by using a single core on a HPC, show that the developed SOR R＆B method is efficient when the spectral radius needed for the Chebyshev acceleration is carefully pre-estimated. Preliminary results obtained with a parallelized code using the MPI library are also discussed when the calculation is distributed over one hundred cores.

关键词： numerical methods for elliptic equations high performance computing 3Dstreamer simulation SOR IDR BiCGSTAB