927 resultados para Automatic surveillence system
Resumo:
Epilepsy is characterized by the spontaneous and seemingly unforeseeable occurrence of seizures, during which the perception or behavior of patients is disturbed. An automatic system that detects seizure onsets would allow patients or the people near them to take appropriate precautions, and could provide more insight into this phenomenon. Various methods have been proposed to predict the onset of seizures based on EEG recordings. The use of nonlinear features motivated by the higher order spectra (HOS) has been reported to be a promising approach to differentiate between normal, background (pre-ictal) and epileptic EEG signals. In this work, we made a comparative study of the performance of Gaussian mixture model (GMM) and Support Vector Machine (SVM) classifiers using the features derived from HOS and from the power spectrum. Results show that the selected HOS based features achieve 93.11% classification accuracy compared to 88.78% with features derived from the power spectrum for a GMM classifier. The SVM classifier achieves an improvement from 86.89% with features based on the power spectrum to 92.56% with features based on the bispectrum.
Resumo:
The performance of automatic speech recognition systems deteriorates in the presence of noise. One known solution is to incorporate video information with an existing acoustic speech recognition system. We investigate the performance of the individual acoustic and visual sub-systems and then examine different ways in which the integration of the two systems may be performed. The system is to be implemented in real time on a Texas Instruments' TMS320C80 DSP.
Resumo:
The concept of system use has suffered from a "too simplistic definition" (DeLone and McLean [9], p. 16). This paper reviews various attempts at conceptualization and measurement of system use and then proposes a re-conceptualization of it as "the level of incorporation of an information system within a user's processes." We then go on to develop the concept of a Functional Interface Point and four dimensions of system usage: automation level, the proportion of the business process encoded by the information system; extent, the proportion of the FIPs used by the business process; frequency, the rate at which FIPs are used by the participants in the process; and thoroughness, the level of use of information/functionality provided by the system at an FIP. The article concludes with a discussion of some implications of this re-conceptualization and areas for follow on research.
Resumo:
This paper examines some of the central global ethical and governance challenges of climate change and carbon emis-sions reduction in relation to globalization, the “global financial crisis” (GFC), and unsustainable conceptions of the “good life”, and argues in favour of the development of a global carbon “integrity system”. It is argued that a funda-mental driver of our climate problems is the incipient spread of an unsustainable Western version of the “good life”, where resource-intensive, high-carbon western lifestyles, although frequently criticized as unsustainable and deeply unsatisfying, appear to have established an unearned ethical legitimacy. While the ultimate solution to climate change is the development of low carbon lifestyles, the paper argues that it is also important that economic incentives support and stimulate that search: the sustainable versions of the good life provide an ethical pull, whilst the incentives provide an economic push. Yet, if we are going to secure sustainable low carbon lifestyles, it is argued, we need more than the ethical pull and the economic push. Each needs to be institutionalized—built into the governance of global, regional, national, sub-regional, corporate and professional institutions. Where currently weakness in each exacerbates the weaknesses in others, it is argued that governance reform is required in all areas supporting sustainable, low carbon versions of the good life.