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排序方式: 共有706条查询结果,搜索用时 10 毫秒
11.
Lionel Buchaillot Olivier Millet Emmanuel Quévy Dominique Collard 《Microsystem Technologies》2008,14(1):69-78
The paper presents the snap-through phenomenon in the case of micro fabricated clamped-clamped buckled beam. This dynamic
post-buckling behavior is likely to occur in 3D microstructures when they are subjected to large vibration amplitudes. The
main difference between this work and previous studies is the MEMS specific beam dimension, especially the large initial deflection
of the buckled beam that involves the inversion of the two first resonance frequencies. The mathematical development allows
showing how the vibration amplitude of the supporting base affects the post-buckling dynamic behavior of the beam. For each
frequency, the limit between the stable behavior and the snap-through behavior is evaluated. Moreover, the effect of environment
is taken into account from the damping point of view. Samples are fabricated and the experiment is described. Measurements
are compared to the theoretical approach and the results are in good agreement with the proposed model. 相似文献
12.
13.
Unraveling Unprecedented Charge Carrier Mobility through Structure Property Relationship of Four Isomers of Didodecyl[1]benzothieno[3,2‐b][1]benzothiophene
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Yusuke Tsutsui Guillaume Schweicher Basab Chattopadhyay Tsuneaki Sakurai Jean‐Baptiste Arlin Christian Ruzié Almaz Aliev Artur Ciesielski Alan R. Kennedy Vincent Lemaur Yoann Olivier Rachid Hadji Lionel Sanguinet Frédéric Castet Silvio Osella Dmytro Dudenko David Beljonne Jérôme Cornil Paolo Samorì Shu Seki Yves H. Geerts 《Advanced materials (Deerfield Beach, Fla.)》2016,28(33):7106-7114
14.
15.
Martijn H. A. Bonte Lionel Fourment Tien-tho Do A. H. van den Boogaard J. Huétink 《Structural and Multidisciplinary Optimization》2010,42(5):797-810
During the last decades, simulation software based on the Finite Element Method (FEM) has significantly contributed to the
design of feasible forming processes. Coupling FEM to mathematical optimization algorithms offers a promising opportunity
to design optimal metal forming processes rather than just feasible ones. In this paper Sequential Approximate Optimization (SAO) for optimizing forging processes is discussed. The algorithm
incorporates time-consuming nonlinear FEM simulations. Three variants of the SAO algorithm—which differ by their sequential
improvement strategies—have been investigated and compared to other optimization algorithms by application to two forging
processes. The other algorithms taken into account are two iterative algorithms (BFGS and SCPIP) and a Metamodel Assisted
Evolutionary Strategy (MAES). It is essential for sequential approximate optimization algorithms to implement an improvement
strategy that uses as much information obtained during previous iterations as possible. If such a sequential improvement strategy
is used, SAO provides a very efficient algorithm to optimize forging processes using time-consuming FEM simulations. 相似文献
16.
Cédric DamourMichel Benne Lionel BoillereauxBrigitte Grondin-Perez Jean-Pierre Chabriat 《Journal of Process Control》2011,21(1):46-54
This paper illustrates the benefits of a multivariable linearizing control approach applied to an industrial crystallization process. This relevant approach proposes a setpoint tracking for the crystal mass/concentration couple. In this purpose, a model dedicated to last stage crystallization is designed, without consideration of crystal size distribution. The controlled variables, unavailable, are obtained using an extended Luenberger observer. The observer is validated on industrial data and shows good performance in both convergence rate and accuracy. The performance of the proposed linearizing strategy, which application to cane sugar crystallization constitutes a real novelty, is tested via simulation. The good performance in setpoint tracking, even in presence of noise, disturbances and modeling error, allows to consider a significant improvement of the global productivity. 相似文献
17.
Ahmed Chamseddine Ben Abdallah Michèle Gouiffès Lionel Lacassagne 《Machine Vision and Applications》2016,27(4):463-481
This paper presents a modular system for both abnormal event detection and categorization in videos. Complementary normalcy models are built both globally at the image level and locally within pixels blocks. Three features are analyzed: (1) spatio-temporal evolution of binary motion where foreground pixels are detected using an enhanced background subtraction method that keeps track of temporarily static pixels; (2) optical flow, using a robust pyramidal KLT technique; and (3) motion temporal derivatives. At the local level, a normalcy MOG model is built for each block and for each flow feature and is made more compact using PCA. Then, the activity is analyzed qualitatively using a set of compact hybrid histograms embedding both optical flow orientation (or temporal gradient orientation) and foreground statistics. A compact binary signature of maximal size 13 bits is extracted from these different features for event characterization. The performance of the system is illustrated on different datasets of videos recorded on static cameras. The experiments show that the anomalies are well detected even if the method is not dedicated to one of the addressed scenarios. 相似文献
18.
Bureau L 《The Review of scientific instruments》2007,78(6):065110
We describe a surface force apparatus designed to probe the rheology of a nanoconfined medium under large shear amplitudes (up to 500 microm). The instrument can be operated in closed loop, controlling either the applied normal load or the thickness of the medium during shear experiments. Feedback control allows us to greatly extend the range of confinement/shear strain attainable with the surface force apparatus. The performances of the instrument are illustrated using hexadecane as the confined medium. 相似文献
19.
Lionel C. Briand Yvan Labiche Marwa Shousha 《Genetic Programming and Evolvable Machines》2006,7(2):145-170
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. It is therefore important for the designers of such systems to analyze the schedulability of tasks during the design process, as well as to test the system's response time to events in an effective manner once it is implemented. This article explores the use of genetic algorithms to provide automated support for both tasks. Our main objective is then to automate, based on the system task architecture, the derivation of test cases that maximize the chances of critical deadline misses within the system; we refer to this testing activity as stress testing. A second objective is to enable an early but realistic analysis of tasks' schedulability at design time. We have developed a specific solution based on genetic algorithms and implemented it in a tool. Case studies were run and results show that the tool (1) is effective at identifying test cases that will likely stress the system to such an extent that some tasks may miss deadlines, (2) can identify situations that were deemed to be schedulable based on standard schedulability analysis but that, nevertheless, exhibit deadline misses.
相似文献
Marwa ShoushaEmail: |
20.
Pan JJ Pan SJ Yin J Ni LM Yang Q 《IEEE transactions on pattern analysis and machine intelligence》2012,34(3):587-600
Recent years have witnessed the growing popularity of sensor and sensor-network technologies, supporting important practical applications. One of the fundamental issues is how to accurately locate a user with few labeled data in a wireless sensor network, where a major difficulty arises from the need to label large quantities of user location data, which in turn requires knowledge about the locations of signal transmitters or access points. To solve this problem, we have developed a novel machine learning-based approach that combines collaborative filtering with graph-based semi-supervised learning to learn both mobile users' locations and the locations of access points. Our framework exploits both labeled and unlabeled data from mobile devices and access points. In our two-phase solution, we first build a manifold-based model from a batch of labeled and unlabeled data in an offline training phase and then use a weighted k-nearest-neighbor method to localize a mobile client in an online localization phase. We extend the two-phase colocalization to an online and incremental model that can deal with labeled and unlabeled data that come sequentially and adapt to environmental changes. Finally, we embed an action model to the framework such that additional kinds of sensor signals can be utilized to further boost the performance of mobile tracking. Compared to other state-of-the-art systems, our framework has been shown to be more accurate while requiring less calibration effort in our experiments performed on three different testbeds. 相似文献