989 resultados para Nature inspired algorithms
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The present study was done with two different servo-systems. In the first system, a servo-hydraulic system was identified and then controlled by a fuzzy gainscheduling controller. The second servo-system, an electro-magnetic linear motor in suppressing the mechanical vibration and position tracking of a reference model are studied by using a neural network and an adaptive backstepping controller respectively. Followings are some descriptions of research methods. Electro Hydraulic Servo Systems (EHSS) are commonly used in industry. These kinds of systems are nonlinearin nature and their dynamic equations have several unknown parameters.System identification is a prerequisite to analysis of a dynamic system. One of the most promising novel evolutionary algorithms is the Differential Evolution (DE) for solving global optimization problems. In the study, the DE algorithm is proposed for handling nonlinear constraint functionswith boundary limits of variables to find the best parameters of a servo-hydraulic system with flexible load. The DE guarantees fast speed convergence and accurate solutions regardless the initial conditions of parameters. The control of hydraulic servo-systems has been the focus ofintense research over the past decades. These kinds of systems are nonlinear in nature and generally difficult to control. Since changing system parameters using the same gains will cause overshoot or even loss of system stability. The highly non-linear behaviour of these devices makes them ideal subjects for applying different types of sophisticated controllers. The study is concerned with a second order model reference to positioning control of a flexible load servo-hydraulic system using fuzzy gainscheduling. In the present research, to compensate the lack of dampingin a hydraulic system, an acceleration feedback was used. To compare the results, a pcontroller with feed-forward acceleration and different gains in extension and retraction is used. The design procedure for the controller and experimental results are discussed. The results suggest that using the fuzzy gain-scheduling controller decrease the error of position reference tracking. The second part of research was done on a PermanentMagnet Linear Synchronous Motor (PMLSM). In this study, a recurrent neural network compensator for suppressing mechanical vibration in PMLSM with a flexible load is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system respectively. The proposed control method is firstly designed by using non-linear simulation model built in Matlab Simulink and then implemented in practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. In the last part of research, a nonlinear load control method is developed and implemented for a PMLSM with a flexible load. The purpose of the controller is to track a flexible load to the desired position reference as fast as possible and without awkward oscillation. The control method is based on an adaptive backstepping algorithm whose stability is ensured by the Lyapunov stability theorem. The states of the system needed in the controller are estimated by using the Kalman filter. The proposed controller is implemented and tested in a linear motor test drive and responses are presented.
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Neuronal dynamics are fundamentally constrained by the underlying structural network architecture, yet much of the details of this synaptic connectivity are still unknown even in neuronal cultures in vitro. Here we extend a previous approach based on information theory, the Generalized Transfer Entropy, to the reconstruction of connectivity of simulated neuronal networks of both excitatory and inhibitory neurons. We show that, due to the model-free nature of the developed measure, both kinds of connections can be reliably inferred if the average firing rate between synchronous burst events exceeds a small minimum frequency. Furthermore, we suggest, based on systematic simulations, that even lower spontaneous inter-burst rates could be raised to meet the requirements of our reconstruction algorithm by applying a weak spatially homogeneous stimulation to the entire network. By combining multiple recordings of the same in silico network before and after pharmacologically blocking inhibitory synaptic transmission, we show then how it becomes possible to infer with high confidence the excitatory or inhibitory nature of each individual neuron.
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En els darrers anys, la criptografia amb corbes el.líptiques ha adquirit una importància creixent, fins a arribar a formar part en la actualitat de diferents estàndards industrials. Tot i que s'han dissenyat variants amb corbes el.líptiques de criptosistemes clàssics, com el RSA, el seu màxim interès rau en la seva aplicació en criptosistemes basats en el Problema del Logaritme Discret, com els de tipus ElGamal. En aquest cas, els criptosistemes el.líptics garanteixen la mateixa seguretat que els construïts sobre el grup multiplicatiu d'un cos finit primer, però amb longituds de clau molt menor. Mostrarem, doncs, les bones propietats d'aquests criptosistemes, així com els requeriments bàsics per a que una corba sigui criptogràficament útil, estretament relacionat amb la seva cardinalitat. Revisarem alguns mètodes que permetin descartar corbes no criptogràficament útils, així com altres que permetin obtenir corbes bones a partir d'una de donada. Finalment, descriurem algunes aplicacions, com són el seu ús en Targes Intel.ligents i sistemes RFID, per concloure amb alguns avenços recents en aquest camp.
Origine et nature des kystes et fistules sacro-coccygiens : étude critique des théories étiologiques
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1786 (SUPPL).
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Variante(s) de titre : Almanach général des marchands, négociants et commerçants de la France et de l'Europe
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Background: The reduction in the amount of food available for European avian scavengers as a consequence of restrictive public health policies is a concern for managers and conservationists. Since 2002, the application of several sanitary regulations has limited the availability of feeding resources provided by domestic carcasses, but theoretical studies assessing whether the availability of food resources provided by wild ungulates are enough to cover energetic requirements are lacking. Methodology/Findings: We assessed food provided by a wild ungulate population in two areas of NE Spain inhabited by three vulture species and developed a P System computational model to assess the effects of the carrion resources provided on their population dynamics. We compared the real population trend with to a hypothetical scenario in which only food provided by wild ungulates was available. Simulation testing of the model suggests that wild ungulates constitute an important food resource in the Pyrenees and the vulture population inhabiting this area could grow if only the food provided by wild ungulates would be available. On the contrary, in the Pre-Pyrenees there is insufficient food to cover the energy requirements of avian scavenger guilds, declining sharply if biomass from domestic animals would not be available. Conclusions/Significance: Our results suggest that public health legislation can modify scavenger population trends if a large number of domestic ungulate carcasses disappear from the mountains. In this case, food provided by wild ungulates could be not enough and supplementary feeding could be necessary if other alternative food resources are not available (i.e. the reintroduction of wild ungulates), preferably in European Mediterranean scenarios sharing similar and socio-economic conditions where there are low densities of wild ungulates. Managers should anticipate the conservation actions required by assessing food availability and the possible scenarios in order to make the most suitable decisions.
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The goal of this work is to try to create a statistical model, based only on easily computable parameters from the CSP problem to predict runtime behaviour of the solving algorithms, and let us choose the best algorithm to solve the problem. Although it seems that the obvious choice should be MAC, experimental results obtained so far show, that with big numbers of variables, other algorithms perfom much better, specially for hard problems in the transition phase.
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Le concept de responsiveness ou « responsivité » a été proposé dans le domaine de la recherche en psychothérapie pour décrire l'influence mutuelle qui s'exerce continuellement entre patient et thérapeute. La nature responsive des psychothérapies pose alors un problème majeur aux chercheurs, qui adoptent généralement des plans de recherche impliquant des liens de cause à effet et sont en échec dans leur entreprise de mieux comprendre le changement thérapeutique. L'objectif de notre travail est de proposer des pistes pour répondre à ce problème. Nous avons adopté la méthode d'étude de cas, qui permet une analyse en profondeur et en contexte des processus de changement. Dans les deux premières phases de la recherche, nous nous situions dans une approche spécifique à la recherche qualitative en psychothérapie. Nous avons tout d'abord analysé comment le changement s'effectuait chez le patient, en identifiant pas à pas le niveau d'assimilation de ses expériences problématiques. Nous avons ensuite tenté d'appréhender le rôle du thérapeute dans le processus de changement. Notre objectif était d'analyser comment la responsivité du thérapeute pouvait faciliter le processus de changement chez le patient à chaque instant de la thérapie. En suivant une procédure inspirée de l'analyse de la tâche, nous avons identifié pour chaque niveau d'assimilation des interventions thérapeutiques suivies de progression, et élaboré un modèle empirique séquentiel. Dans la troisième phase de la recherche, nous avons effectué un tournant dans notre parcours et sommes allée du côté des sciences du langage. En adoptant une approche dialogique du discours, notre objectif était d'éclairer notre objet d'étude à partir d'une nouvelle perspective et d'ouvrir la réflexion. Nous avons ainsi pu répondre à certaines limites rencontrées dans les premières phases de la recherche, et faire émerger de nouvelles questions et perspectives pour l'étude des processus de changement dans une dimension interactive. -- The concept of responsiveness was developed in psychotherapy research to describe the mutual and constant influence between patient and therapist. The responsive nature of psychotherapy is a serious problem for researchers, who generally adopt research designs involving cause-effect reasoning and fail to better understand therapeutic change. The purpose of our work is to propose some viable possibilities to respond to this problem. We chose the case study method, which enables an analysis in depth and in context of change processes. In the two first phases of research, our approach was specific to qualitative psychotherapy research. We first analyzed how change occurred in the patient, by identifying moment-by-moment the level of assimilation of his or her problematic experiences. We then tried to apprehend the therapist role in the change process. Our aim was to analyze how the therapist responsiveness could facilitate the patient change process at any moment of psychotherapy. We followed a procedure inspired by task analysis and, for each level of assimilation, we identified therapist interventions followed by progression, and elaborated an empirical sequential model. The third phase of research was a turning point, as we went in the field of linguistics. We adopted a dialogical approach of discourse to open up reflection. Thus, we could answer some limitations encountered in the first phases of research, and new questions and perspectives to study change process taking into account the interactive dimension emerged.