The present study describes the results regarding the preliminary validation of a system for rehabilitation of balance control that integrates the most recent technology advances with the latest findings about motor c...
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ISBN:
(纸本)9789639799158
The present study describes the results regarding the preliminary validation of a system for rehabilitation of balance control that integrates the most recent technology advances with the latest findings about motor control and rehabilitation-engineering. The biofeedback system is based on a palmtop computer and a body sensor network, with a modular architecture, both hardware and software. Validation was performed on young healthy subjects, simulating impairment to the balance control system at the proprioception level. Promising results were obtained by means of the biofeedback system, both in terms of adequacy and usability of the system, and in terms of improvement of the balance performance.
The notion of the mobile agent has been around for over a decade in order to capture the new form of computation in communication networks. A mobile agent is a computing entity which can move around different hosts on...
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The paper presents the on-going EC-funded Tempus project "MSc and PhD studies in Aerospace Critical Computing" executed by the National Aerospace University, Kharkiv, Ukraine with the support of Newcastle Un...
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ISBN:
(纸本)9781605580760
The paper presents the on-going EC-funded Tempus project "MSc and PhD studies in Aerospace Critical Computing" executed by the National Aerospace University, Kharkiv, Ukraine with the support of Newcastle University and City University of London, UK and Åbo Akademi University, Turku, Finland. The state-of-the-art, completed work as well as the next steps of the development of master and doctoral courses for the specialty in critical software engineering, computersystems and networks are described. The inputs from each of the European consortium members are presented. Copyright 2008 ACM.
Privacy is becoming an increasingly important issue in many data mining applications. The miner can be untrustable party. Perturbation has been a primary tool to hide sensitive private information during data mining t...
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ISBN:
(纸本)9781605606170
Privacy is becoming an increasingly important issue in many data mining applications. The miner can be untrustable party. Perturbation has been a primary tool to hide sensitive private information during data mining task and it is used to mask the data for preserving the privacy of sensitive data. This methodology attempts to hide it by randomly modifying the data values often using additive noise. This paper proposes and presents a simple way to keep the privacy of certain individual attribute by adding noise, reconstruct the noisy data then perform the mining task to generate aggregate data and develop accurate models without access to the sensitive information of this individual attribute.
We numerically observe chaos synchronization of two semiconductor lasers commonly driven by a chaotic semiconductor laser subject to optical feedback. We observe strongly correlated chaos synchronization between the t...
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This report summarizes the presentations and discussions of the Third Workshop on Models and Aspects Handling Crosscutting Concerns in MDSD, held in conjunction with the 21st European Conference on Object-Oriented Pro...
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Large-signal measurement systems based on high-frequency sinusoidal excitations have been widely exploited by the microwave community for the characterization of transistors under nonlinear operation. However, device ...
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ISBN:
(纸本)9788890314933
Large-signal measurement systems based on high-frequency sinusoidal excitations have been widely exploited by the microwave community for the characterization of transistors under nonlinear operation. However, device characterization at high-frequencies necessarily involves the application of rather complex calibration procedures of the measurement setup. In addition, reactive effects associated with the device extrinsic parasitic effects tend to become more important at high-frequencies. Thus, uncertainties in the identification of the parasitic network components may leads in this case to critical errors in the identification of the intrinsic device behavior and in particular, of the drain current source. In order to overcome these problems, an alternative nonlinear measurement setup based on large-signal sinusoidal excitation at low-frequency (e.g., 2 MHz) is here proposed. The description of its hardware and software implementation is dealt with in this paper and different experimental examples are provided in order to highlight the capabilities of the proposed characterization approach.
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statistical characteristics, without consid...
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This paper critically analyzes reduct construction methods at two levels. At a high level, one can abstract commonalities from the existing algorithms, and classify them into three basic groups based on the underlying...
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