There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

▓ Local Randomness for True Random Number generators ▓ Non-local Randomness for distribution of Cryptographic Keys ▓ Towards faster, longer distances and cheaper QKD engines ▓ Quantum Repeaters ▓ Device-Independent Quantum Information Processing

Quantum communication

Thank you for reading rfid handbook fundamentals and applications in contactless smart cards and identification. As you may know, people have search numerous times for their chosen novels like this rfid handbook fundamentals and applications in contactless smart cards and identification, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious bugs inside their laptop.

Rfid Handbook Fundamentals And Applications In Contactless Smart Cards And Identification

Emotion recognition in human-computer interaction

We define a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Quantum zero-error capacity

We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Quantum Zero-error Capacity

Intrusion Detection Systems of computer networks carry out their detection capabilities observing a set of attributes coming from the network traffic Such a set may be very large However, some attributes are irrelevant, redundant or even noisy, so that their usage may also decrease the detection intrusion efficiency Therefore, the primary problem of identifying an optimal attribute subset is the choice of the criterion to evaluate a given attribute subset In this work, it is presented an evaluation of Renyi and Tsallis entropy compared with Shannon entropy in order to obtain an optimal attribute subset which increases the detection capability to classify the traffic as normal or as suspicious Additionally, we studied an ensemble approach that combines the attributes selected by Renyi, Tsallis and Shannon information measures The empirical results demonstrated that by applying an attribution selection approach based on Renyi or Tsallis entropies not only do the number of attributes and processing time are reduced but also the clustering models can be builded with a better performance (or at least remains the same) than that built with a complete set of attributes

A comparative study of use of shannon, rényi and tsallis entropy for attribute selecting in network intrusion detection

It is largely known that a great amount of current methods of analysis in image analysis and processing is based on parametric statistics. Alternatively, several approaches in Computational Intelligence, and particularly in Evolutionary Computation, are inspired by biology and other social-based sciences, like the ones based on the movement of flocks and birds, particularly particle swarm optimization, that tend to approximate this basic social behaviour present in inferior animals to the searching process to find a global optimum in a determined objective functions. However, it notorious that just a few approaches, to be optimistic, and almost none to be realistic, are inspired in Philosophy. Herein this work we claim that Philosophy can be also considered as a source of inspiration to build new tools for analysis in Computational Intelligence, in particular, and in image processing and analysis, in general. This chapter presents the Objective Dialectical Method (ODM): an evolutionary method for classification based on the Philosophy of Praxis, a philosophical approach that considers parts of reality as complex systems composed by basic units called poles, where such units are involved in conflict, affecting each other and generating more poles or eliminating others, as this dynamics proceeds. Alzheimer's disease is the most common cause of dementia, both in senile and presenile individuals, observing the gradual progress of the disease as the individual becomes older (Ewers et al., 2006). The major manifestation of Alzheimer's disease is the diminution of the cognitive functions with gradual loss of memory, including psychological, neurological and behavioral symptoms indicating the decline of the daily life activities as a whole. Alzheimer's disease is characterized by the reduction of gray matter and the growth of cerebral sulci. However, the white matter is also affected, although the relation between Alzheimer's disease and white matter is still unknown (Friman et al., 2006). Acquisition of diffusion-weighted magnetic resonance images (DW-MR images) turns possible the visualization of the dilation of the lateral ventriculi temporal corni, enhancing the augment of sulci, related to the advance of Alzheimer's disease (Haacke et al., 1999). Therefore, volumetrical measuring of cerebral structures is very important for diagnosis and O pe n A cc es s D at ab as e w w w .in te ch w eb .o rg

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A Dialectical Method to Classify Alzheimer's Magnetic Resonance Images

Alzheimer's disease is the most common cause of dementia, yet hard to diagnose precisely without invasive techniques, particularly at the onset of the disease. This work approaches image analysis and classification of synthetic multispectral images composed by diffusion-weighted (DW) magnetic resonance (MR) cerebral images for the evaluation of cerebrospinal fluid area and measuring the advance of Alzheimer's disease. A clinical 1.5 T MR imaging system was used to acquire all images presented. The classification methods are based on Objective Dialectical Classifiers, a new method based on Dialectics as defined in the Philosophy of Praxis. A 2-degree polynomial network with supervised training is used to generate the ground truth image. The classification results are used to improve the usual analysis of the apparent diffusion coefficient map.

Francisco M. de Assis

Papers

Quantum zero-error capacity

Quantum Zero-error Capacity

A comparative study of use of shannon, rényi and tsallis entropy for attribute selecting in network intrusion detection

A Dialectical Method to Classify Alzheimer's Magnetic Resonance Images

Evaluation of Alzheimer's disease by analysis of MR images using Objective Dialectical Classifiers as an alternative to ADC maps