Heart disease is one of the main factor causing death in the developed countries. Over several decades, variety of electronic and computertechnology have been developed to assist clinical practices for cardiac perfor...
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ISBN:
(纸本)3540408037
Heart disease is one of the main factor causing death in the developed countries. Over several decades, variety of electronic and computertechnology have been developed to assist clinical practices for cardiac performance monitoring and heart disease diagnosis. Among these methods, Ballistocardiography (BCG) has an interesting feature that no electrodes are needed to be attached to the body during the measurement. thus, it is provides a potential application to asses the patients heart condition in the home. In this paper, a comparison is made for two neural networks based BCG signal classification models. One system uses a principal component analysis (PCA) method, and the other a discrete wavelet transform, to reduce the input dimensionality. It is indicated that the combined wavelet transform and neural network has a more reliable performance than the combined PCA and neural network system. Moreover, the wavelet transform requires no prior knowledge of the statistical distribution of data samples and the computation complexity and training time are reduced.
During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 ...
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ISBN:
(数字)9783540452263
ISBN:
(纸本)9783540408048
During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. the very fast pace of change in processor and informationtechnology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. the team is still supervised by the human withthe machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. the requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. these include methods for system analysis, design and engineering and in particular for informationprocessing, for cognitive and complex knowledge [1] engineering .
this work concentrates on proposing a framework to implement the PKI which enables security in XML documents, by defining a common framework and processing rules that can be shared across applications using common too...
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this work concentrates on proposing a framework to implement the PKI which enables security in XML documents, by defining a common framework and processing rules that can be shared across applications using common tools, avoiding the need for extensive customization of applications to add security. the Framework reuses the concepts, algorithms and core technologies of legacy security systems while introducing changes necessary to support extensible integration with XML. this allows interoperability with a wide range of existing infrastructures and across deployments. Currently no strict security models and mechanisms are available that can provide specification and enforcement of security policies for XML documents. Such models are crucial in order to facilitate a secure dissemination of XML documents, containing information of different sensitivity levels, among (possibly large) user communities.
the applications of information models for electric power industry objects are submitted and their efficiency in identification of the statuses of electric power industry objects is shown.
the applications of information models for electric power industry objects are submitted and their efficiency in identification of the statuses of electric power industry objects is shown.
Withtheir availability of high-bandwidth and extensive transmission range, Wireless Local Area Networks (WLANs) become a compelling technology for developing next-generation home entertainment systems. In the near fu...
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the paper proposes a new steganographic model for secret data communication. A stack of four modules is used. the "compression module" gives the benefit of entropy coding. the "cryptographic module"...
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the paper proposes a new steganographic model for secret data communication. A stack of four modules is used. the "compression module" gives the benefit of entropy coding. the "cryptographic module" provides confidentiality in the communication. To preserve integrity of data, the "hash module" is used with a shared secret key. A technique is proposed in which it is not required that the receiver should know the secret key before reception of the message. For the "steganographic module", an image steganographic method is proposed that is derived from the method of Yeuan-Kuen Lee and Ling-Hwei Chen (see IEEE Proc. Vision, Image and Sig. Process., 2000). As compared to that method, we make little use of the smooth regions of the cover image that provides better image fidelity and perceptual transparency. the proposed method can also hide data in 24 bit true color images. Furthermore, we spread the data on the whole image instead of using part of the image. this steganographic method is used to hide the encrypted communication. Experimental results show the effectiveness and efficiency of the proposed model
the use of smart or adaptive array antennas has attracted considerable interest in the mobile communications community. We investigate the combined use of an adaptive/smart array antenna and Rake receiver (space-time ...
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the use of smart or adaptive array antennas has attracted considerable interest in the mobile communications community. We investigate the combined use of an adaptive/smart array antenna and Rake receiver (space-time processing) to jointly mitigate the effect of multiple access interference (MAI) and multipath fading in a CDMA system, while taking angle spread into account. We provide simulation results concerning mean bit error rate (BER) performance of such a system for different numbers of antenna elements, numbers of users and angle spreads. the obtained results show that the investigated smart antenna system can effectively combat adverse MAI and fading effects and improve the CDMA system performance.
In this paper, the architecture of a 64-point FFT for the OFDM technique used in WLAN standards is proposed. FFT is a complex function whose computational accuracy, hardware size and processing speed depends on the ty...
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In this paper, the architecture of a 64-point FFT for the OFDM technique used in WLAN standards is proposed. FFT is a complex function whose computational accuracy, hardware size and processing speed depends on the type of arithmetic format used to implement it. Due to the non-linearity of FFT, its computational accuracy is not easy to calculate theoretically. therefore statistical or simulation methods are used. A simulation method to calculate the performance (hardware size, computational accuracy) of the FFT, based on fixed-point and floating-point formats, has been used. the paper demonstrates how a simple 64-point FFT, based on the fixed point arithmetic format has a performance comparable to that of a complex floating point arithmetic format. Comparison has been made between a fixed point FFT simulation model and a floating point reference model. the results deduced from comparison have shown that boththe approaches provide similar results. However, use of simple FFT model greatly reduces the size of the hardware to be used to implement the OFDM technique
A new class of orthogonal frequency division multiplexing-continuous phase modulation (OFDM-CPM) signals has been introduced recently that outperforms conventional OFDM-PSK signals. these signals employ multi symbol o...
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A new class of orthogonal frequency division multiplexing-continuous phase modulation (OFDM-CPM) signals has been introduced recently that outperforms conventional OFDM-PSK signals. these signals employ multi symbol observations for detection of data. An optimum OFDM-CPM receiver was designed that observed n symbols of the received waveform, and arrived at an optimum estimate of the data transmitted in the first symbol interval. However, from the viewpoint of receiver complexity, this receiver is quite complex and the complexity grows exponentially as a function of number of observation symbols. thus, in this paper, we develop and investigate a less complex OFDM-CPM receiver that employs post-FFT signal processing for recovery of data. Performance of this receiver is evaluated over multipath fading channels for several subclasses of OFDM-CPM signals. It is shown that we achieve error rate performance that is far superior to the performance offered by conventional OFDM-PSK systems
When people work together, they often talk about the objects in their environment. Not surprisingly, their dialogues are multimodal, incorporating speech, gesture, gaze, haptics, and perhaps other modalities. However,...
When people work together, they often talk about the objects in their environment. Not surprisingly, their dialogues are multimodal, incorporating speech, gesture, gaze, haptics, and perhaps other modalities. However, proponents of technology may be troubled to learn that despite the current state and future promise of spoken and multimodal research, many of these workers do not particularly want to talk to machines - they want to converse withtheir colleagues. Still, if there were unobtrusive computer support for their multimodal dialogues, these same individuals would be pleased to benefit from digital technology. this paper offers a first step towards building such multimodal systems for supporting face-to-face collaborative work by providing both qualitative and quantitative analyses of multiparty multimodal dialogues in a field setting.
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