This poster describes a challenging application field for EDM, in the context of collaborative learning open learner model frameworks. An open and challenging field arises from the situation lived by children sufferin...
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ISBN:
(纸本)9789038625379
This poster describes a challenging application field for EDM, in the context of collaborative learning open learner model frameworks. An open and challenging field arises from the situation lived by children suffering a serious illness. The responsibility of the government continuing their schooling process is harder to achieve, since different communities (family, school teachers, hospital teachers, medical doctors, psychologists...) have to be coordinated. An appropriate educational solution, designed for this situation should solve the specific issues that arise in the described situation: Motivation, Isolation, Heterogeneity, Spatial Dispersion, Dynamicity, etc. This poster tries to explain the reasons that makes this context specially interesting for EDM;It proposes a framework to support learning in the cited environment based on the use of Multi-user virtual environments (MUVEs);And it points out some Data Mining fields specially appropriate for the problem of analysis of educational data and interactions among students for the construction of an Open Learner Model (OLM), suitable to for decision support.
Students learning effectively in groups encourage each other to ask questions, explain and justify their opinions, articulate their reasoning, and elaborate and reflect upon their knowledge, and computer tools can hel...
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ISBN:
(纸本)9789038625379
Students learning effectively in groups encourage each other to ask questions, explain and justify their opinions, articulate their reasoning, and elaborate and reflect upon their knowledge, and computer tools can help them producing these kind of collaborative learning situations. In this sense, we have developed several tools to support the collaborative learning-process for the computerarchitecture's subject in computers Science engineering. This paper present an intelligent tool called SIENA, composed by the open student model, a student conceptual map with multimedia learning nodes (MLN) and Bayesian tests.
In order to measure the effectiveness of safety protection systems there are several design parameters. Diagnostic coverage factor is one of the most important parameter which influences all architectures. In this sho...
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In order to measure the effectiveness of safety protection systems there are several design parameters. Diagnostic coverage factor is one of the most important parameter which influences all architectures. In this short paper the relationship between PFD avg , DC and T I are presented. 1oo2 and 1oo2D architectures are considered as examples.
Human Robot Interaction (HRI) is an active field of integrating and embedding different techniques in artificial intelligence. This paper describes my research topic on: control of Robotic systems for Safe Interaction...
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ISBN:
(纸本)9781577355120
Human Robot Interaction (HRI) is an active field of integrating and embedding different techniques in artificial intelligence. This paper describes my research topic on: control of Robotic systems for Safe Interaction with Human Operators. It consists of online motion generation for robotic manipulators interactingwith dynamic obstacles and humans using a moving horizon scheme, modeling and long term prediction of human motion using probabilistic models and reachability analysis, and development of an HRI demonstration platform.
A fundamental quantity of the solution of an optimal control problem is the value function, i.e., the optimal cost-to-go function. In the general case, the function is not known exactly, but need to be approximated nu...
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Detection of gear cracks from vibration data is a difficult task. This paper investigates an alternative to the linear predictor residual fault detection based on the nonlinear adaptive controlsystem concept of frequ...
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One of the fundamental problems in the field of robotic motion planning is to safely and efficiently drive the end effector of a robotic manipulator to a specified goal position. Here, safety refers to the requirement...
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In this paper we consider the finite-time stability (FTS) problem for linear time varying systems. In most of the previous literature, the definition of FTS exploits the standard weighted quadratic norm to define the ...
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ISBN:
(纸本)9781467320658
In this paper we consider the finite-time stability (FTS) problem for linear time varying systems. In most of the previous literature, the definition of FTS exploits the standard weighted quadratic norm to define the initial and trajectory domains, which, therefore, turn out to be ellipsoidal; this is consistent with the fact that quadratic Lyapunov functions are used to derive the FTS conditions. Conversely, the recent paper [1], considers the case where the above domains are polytopic and, consequently, the analysis is performed with the aid of polyhedral Lyapunov functions. In the current work, the class of Piecewise Quadratic Lyapunov functions is considered. First, it is shown that such class of functions recovers as particular cases both quadratic and polyhedral Lyapunov functions; then a novel sufficient condition for FTS of linear time-varying systems is provided. A procedure is proposed to convert such condition into a computationally tractable problem. The examples illustrated at the end of the paper show the benefits of the proposed technique with respect to the methodologies available in the literature.
The paper is concerned with data transmission via channels composed of a memoryless binary symmetric channel and the erasure channel of Peter Elias. Channels of this type play an important role in modelling different ...
The paper is concerned with data transmission via channels composed of a memoryless binary symmetric channel and the erasure channel of Peter Elias. Channels of this type play an important role in modelling different types of networks especially wireless networks, and have been investigated using, amongst others, the theory of Markov chains. Channel Capacities and network flows have been determined. The authors focus their interest on some aspects of coding theory. They assume the data transmission to be protected by a linear code, a CRC for example, and determine the probability of undetected error of the code. They then consider redundant transmission via two or more channels with bit inversion, and calculate the probability of undetected error. They prove some inequalities that are useful instruments to estimate the rate of transmission errors and to determine safety integrity levels according to the standards. Finally the authors apply their results to Bluetooth channels suffering from different types of noise.
In this paper, a heuristic method based on Genetic Algorithms (GA) is proposed to improve the performance of Fuzzy Logic controllers (FLCs) designed for Takagi-Sugeno (T-S) model of nonlinear plants by Parallel Distri...
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In this paper, a heuristic method based on Genetic Algorithms (GA) is proposed to improve the performance of Fuzzy Logic controllers (FLCs) designed for Takagi-Sugeno (T-S) model of nonlinear plants by Parallel Distributed Compensation (PDC) technique. Generally, T-S models might not represent the dynamics of nonlinear plants accurately. Due to this mismatch, sometimes the response of the controlled nonlinear plant is not as desirable as the response of the corresponding T-S model controlled by the same FLC. Despite the fact that there is a flurry of research on the stability of FLCs applied to T-S model of nonlinear systems, the stability matters of FLCs applied to nonlinear systems is still a challenge. It is obvious that the performance of FLCs is entirely affected by the characteristics of membership functions. Thus, by tuning the type or parameters of fuzzy controller's membership functions using GA, the drawbacks caused by model mismatch can be decreased. In fact, the proposed method concerns the applicability of fuzzy PDC controllers to nonlinear plants and does not confide itself to dealing with T-S models. Thus, the improved fuzzy PDC controller is a fine-tuned PDC controller that can compensate the nonlinear plant as well as the corresponding T-S model. In order to verify the introduced strategy, the problem of balancing and swing up of an inverted pendulum on a cart is considered as a nonlinear case study. The simulation results demonstrate the effectiveness of the improved PDC.
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