In this paper, recent neural network applications, epecially to the fields related with the computational mechanics, were surveyed. The most outstanding characteristics of the neural network aided computation is that ...
In this paper, recent neural network applications, epecially to the fields related with the computational mechanics, were surveyed. The most outstanding characteristics of the neural network aided computation is that neither complicated programmings nor rigid algorithms are needed. Another important point is that the neural network's inherent parallelism, that is, concurrent signal transmissions over numerous informationprocessing elements suits the massively parallel computer arc hitectures. First, we briefly review the neural network applications to the computational mechanics fields from recent publications, and describe the mathematical basis of the neural net work. Next, the following topics are detailed: quantitative nondestructive evaluation, structural identification, modeling of viscoplastic material behaviors, crack growth analysis of welded specimens, structural design, parameter estimation for nonlinear finite element analyses, and equation solver.
The design and demonstration of a quantum optical genetic algorithms computer is described. We show that by avoiding the tedious computations of conventional genetic algorithms, time and energy could be saved. The rol...
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ISBN:
(纸本)0819419249
The design and demonstration of a quantum optical genetic algorithms computer is described. We show that by avoiding the tedious computations of conventional genetic algorithms, time and energy could be saved. The role of quantum indeterminacy as a major component of the operation of this porcessor is emphasized.
To obtain on-line information about the cutting and welding processes, optical sensors are integrated into the working head of a high-power CO2 laser machining system. In order to detect the dynamic light or plasma in...
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To obtain on-line information about the cutting and welding processes, optical sensors are integrated into the working head of a high-power CO2 laser machining system. In order to detect the dynamic light or plasma intensity fluctuation during cutting and welding, these sensors provide the real-time signal of the metal vapour and plasma flame intensity in the wavelength range 200-1100 nm. Simultaneously, the real-time intensity of the laser power is measured with a pyroelectric sensor. The aim is to analyse the transfer function of each process. With the knowledge of the transformation characteristics of the specific process, a closed-loop control is set up. Distinguishing between CW and pulsed processes, different control algorithms have been developed and tested. A control system based on microcontroller hardware and its theoretical background for failure detection are described.
The expected developments in the not too distant future (5-10 years) of molecular electronics and biocomputing (MEBC) are discussed. In the short-term, the study of very specific basic phenomena is expected (e.g. cond...
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The expected developments in the not too distant future (5-10 years) of molecular electronics and biocomputing (MEBC) are discussed. In the short-term, the study of very specific basic phenomena is expected (e.g. conducting polymers, strange electronic states of insulating polymers, bacteriorhodopsin (BR), arrays of molecules, Self-organization of biomaterials, very specific biological systems, quantum coherence in cytoskeletal microtubules, optoelectronic information storage, associative memories, pattern recognition, hierarchical nature of biological information). New application fields outside the range of conventional technology (e.g. randomized algorithms, optoelectronic devices, chemical and biosensors, as well as a certain extent of commercialisation) have also been predicted. In the long-term, the study and solution of much deeper (sometimes scientific fiction-like) problems were foreseen, such as the self-organization of biomaterials, artificial self-reproduction, implementation of artificial cell dynamic control structures based on molecular devices for medical and environmental applications and the construction of neuronal computers as aids to the human brain.
The capability to recognize the operating context and to assess the situation in real-time is needed, if a high functionality autonomous mobile robot has to react properly and effectively to continuously changing situ...
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ISBN:
(纸本)0819410322
The capability to recognize the operating context and to assess the situation in real-time is needed, if a high functionality autonomous mobile robot has to react properly and effectively to continuously changing situations and events, either external or internal, while the robot is performing its assigned tasks. A new approach and architecture for context recognition and situation assessment module (CORSA) is presented in this paper. CORSA is a multi-level informationprocessing module which consists of adaptive decision and classification algorithms. It performs dynamic mapping from the data space to the context space, and dynamically decides on the context class. Learning mechanism is employed to update the decision variables so as to minimize the probability of misclassification. CORSA is embedded within the Mission Manager module of the intelligent autonomous hyper-controller (IAHC) of the mobile robot. The information regarding operating context, events and situation is then communicated to other modules of the IAHC where it is used to: (a) select the appropriate action strategy; (b) support the processes to arbitration and conflict resolution between reflexive behaviors and reasoning-driven behaviors; (c) predict future events and situations; and (d) determine criteria and priorities for planning, replanning, and decision making.
Constrained multiple signal classification (MUSIC) and beamspace MUSIC are similar algorithms in that they both incorporate a priori information about signal directions and involve linear transformation on the data. H...
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Constrained multiple signal classification (MUSIC) and beamspace MUSIC are similar algorithms in that they both incorporate a priori information about signal directions and involve linear transformation on the data. However, it is shown that constrained MUSIC deflates the noise subspace (assuming no out-of-sector sources). They can be used together, resulting in constrained beamspace MUSIC. The authors also perform an asymptotic variance analysis and contrast the performance of MUSIC, constrained MUSIC, beamspace MUSIC, and constrained beamspace MUSIC.< >
A closed-form single-shot stereo disparity estimation algorithm is proposed that can compute multiple disparities due to transparency directly from signal differences and variations on epipolar lines of a binocular im...
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A closed-form single-shot stereo disparity estimation algorithm is proposed that can compute multiple disparities due to transparency directly from signal differences and variations on epipolar lines of a binocular image pair. The transparent stereo constraint equations have been derived by using a novel mathematical technique, the principle of superposition. A computationally tractable single-shot algorithm is derived by using the first-order approximation of the constraint equations with respect to disparities. The algorithm can compute multiple disparities from only two images, in contrast to the previous algorithms for motion transparency, which needed at least n+1 frames for n simultaneous motion estimates. The derived algorithm can be viewed as the SSD (sum of squared differences) for signal matching extended to deal with multiple disparities. However, the constraints are not dedicated solely to the SSD method and several other implementations are possible.< >
Summary form only given. quantum mechanics offers the information scientist a new rich resource, which is only recently being tapped to allow for secure communication in the form of quantum cryptography, and for treme...
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Summary form only given. quantum mechanics offers the information scientist a new rich resource, which is only recently being tapped to allow for secure communication in the form of quantum cryptography, and for tremendous parallelism in quantuminformationprocessing and computing. I will describe developments and prospects for each. quantum cryptography has already advanced beyond the research laboratory to become a realizable technology with proven secret key distribution for encryption. quantum computing, although at an earlier stage of development has been recognized as a major new development in physics, enables us (if a quantum computer is realizable) to attack problems previously thought to be too complex for normal computation in a reasonable time. Examples of quantumalgorithms involving this kind of advantage are Shor's for fast factorization (in itself a threat to secure communication) and Grover's for data base searching. I will discuss the ways quantum mechanics allow such a speed-up, stressing how quantum entanglement is the key resource being exploited, and how quantum gates, networks, and the processors may be implemented in a realistically noisy environment. Simple demonstrators have already been built, and I will discuss prospects for future realization of large-scale processors.
Summary form only given. In the quantum optics group at Caltech, we are attempting to lay the foundations for quantuminformation science by way of advances on several fronts in optical physics. Within the setting of ...
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Summary form only given. In the quantum optics group at Caltech, we are attempting to lay the foundations for quantuminformation science by way of advances on several fronts in optical physics. Within the setting of cavity QED, single atoms are strongly coupled to the field of a high finesse optical cavity at the single photon level, with current work directed toward trapping and localization of atoms inside the cavity. Although there are daunting technical problems to overcome, a principal scientific objective is the creation of quantum networks to implement fundamental quantum communication protocols and for distributed quantum computation. Beyond quantuminformationprocessing with internal atomic states and photons serving as qubits, we are also investigating algorithms for continuous quantum variables. A recent example is our realization of quantum teleportation for the quadrature amplitudes of a beam of light. The experiment utilizes squeezed-state entanglement to achieve unconditional quantum teleportation.
The well-known uncertainty principle is often invoked in signal processing. It is also often considered to have the same implications in signal analysis as does the uncertainty principle in quantum mechanics. The unce...
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ISBN:
(纸本)0819406945
The well-known uncertainty principle is often invoked in signal processing. It is also often considered to have the same implications in signal analysis as does the uncertainty principle in quantum mechanics. The uncertainty principle is often incorrectly interpreted to mean that one cannot locate the time-frequency coordinates of a signal with arbitrarily good precision, since, in quantum mechanics, one cannot determine the position and momentum of a particle with arbitrarily good precision. Renyi information of the third order is used to provide an information measure on time-frequency distributions. The results suggest that even though this new measure tracks time-bandwidth results for two Gabor log-ons separated in time and/or frequency, the information measure is more general and provides a quantitative assessment of the number of resolvable components in a time frequency representation. As such, the information measure may be useful as a tool in the design and evaluation of time-frequency distributions.
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