Palm-print medicine is a discipline in traditional Chinese medicine(TCM), equivalent to thepalm-print diagnosis discipline and palm medicine. And it's a meaningful work to combine the biometric identification tech...
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Palm-print medicine is a discipline in traditional Chinese medicine(TCM), equivalent to thepalm-print diagnosis discipline and palm medicine. And it's a meaningful work to combine the biometric identification technology with traditional Chinese palm-print medicine for the diagnosis of human diseases. According to the characteristics of palm-print images, this paper makes a simple summary of the key technology and core algorithm in the field of palm-print identification.
In this paper, we evaluated four kinds of classification algorithms on Raman spectra for nasopharyngeal carcinoma (NPC) diagnosis: Bayesian classification (BC), Linear discriminate analysis (LDA), Mahalanobis distance...
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In this paper, we evaluated four kinds of classification algorithms on Raman spectra for nasopharyngeal carcinoma (NPC) diagnosis: Bayesian classification (BC), Linear discriminate analysis (LDA), Mahalanobis distance after the principal component analysis (PCA);as well the Genetic algorithm-LDA. A total of 225 Raman spectra were acquired from 120 tissue sites of 63 patients, in which 56 Raman spectra were from normal tissue, whereas 171 Raman spectra were from cancer nasopharyngeal tissue. The averaged Raman spectrum of NPC could be distinguished from that of the control group by the above multivariate analysis. Discrimination analysis of PCA-BC revealed that the highest sensitivity, specificity and overall accuracy of cancer diagnosis were 98% (1/56), 99% (1/171), and 99%, respectively. The results showed that Raman spectroscopy in combination with Bayesian classification had high enough sensitivity and specificity to accurately detect and diagnose NPC. (C) 2013 AIP Publishing LLC.
Recent years have witnessed growing interest in the field of brain-inspired computing based on neural-network architectures. In order to translate the related algorithmic models into powerful, yet energy-efficient cog...
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Recent years have witnessed growing interest in the field of brain-inspired computing based on neural-network architectures. In order to translate the related algorithmic models into powerful, yet energy-efficient cognitive-computing hardware, computing-devices beyond CMOS may need to be explored. The suitability of such devices to this field of computing would strongly depend upon how closely their physical characteristics match with the essential computing primitives employed in such models. In this work, we discuss the rationale of applying emerging spin-torque devices for bio-inspired computing. Recent spin-torque experiments have shown the path to low-current, low-voltage, and high-speed magnetization switching in nano-scale magnetic devices. Such magnetometallic, current-mode spin-torque switches can mimic the analog summing and "thresholding" operation of an artificial neuron with high energy-efficiency. Comparison with CMOS-based analog circuit-model of a neuron shows that "spin-neurons" (spin based circuit model of neurons) can achieve more than two orders of magnitude lower energy and beyond three orders of magnitude reduction in energy-delay product. The application of spin-neurons can therefore be an attractive option for neuromorphic computers of future. (C) 2013 AIP Publishing LLC.
Variability of sea-ice and snow conditions on the scale of a few hundred meters is examined using in situ measurements collected in first-year pack ice in the European Arctic north of Svalbard. Snow thickness and surf...
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Variability of sea-ice and snow conditions on the scale of a few hundred meters is examined using in situ measurements collected in first-year pack ice in the European Arctic north of Svalbard. Snow thickness and surface elevation measurements were performed in the standard manner using a snow stick and a rotating laser. Altogether, 4109 m of measurement lines were surveyed. The snow loading was large, and in many locations the ice freeboard was negative (38.8% of snowline measurements), although the modal ice and snow thickness was 1.8 m. The mean of all the snow thickness measurements was 36 cm, with a standard deviation of 26 cm. The mean freeboard was only 3 cm, with a standard deviation of 23 cm. There were noticeable differences in snow thickness among the measurement sites. Over the undeformed ice areas, the mean snow thickness and freeboard were 23 and 2.4 cm, respectively. Over the ridged ice areas, the mean freeboard was only -0.3 cm due to snow accumulation on the sails of ridges (average thickness 54 cm). These findings imply that retrieval algorithms for converting freeboard to ice thickness should take account of spatial variability of snow cover.
Graph sparsification is the approximation of an arbitrary graph by a sparse graph. We explain what it means for one graph to be a spectral approximation of another and review the development of algorithms for spectral...
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Graph sparsification is the approximation of an arbitrary graph by a sparse graph. We explain what it means for one graph to be a spectral approximation of another and review the development of algorithms for spectral sparsification. In addition to being an interesting concept, spectral sparsification has been an important tool in the design of nearly linear-time algorithms for solving systems of linear equations in symmetric, diagonally dominant matrices. The fast solution of these linear systems has already led to breakthrough results in combinatorial optimization, including a faster algorithm for finding approximate maximum flows and minimum cuts in an undirected network.
We present an approach for the efficient generation of Wannier functions for Photonic Crystal computations that is based on a combination of group-theoretical analysis and efficient minimization strategies. In particu...
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We present an approach for the efficient generation of Wannier functions for Photonic Crystal computations that is based on a combination of group-theoretical analysis and efficient minimization strategies. In particular, we describe the symmetry properties that allow for exponential localization of Wannier functions and how they are related to the underlying Bloch mode symmetries of the photonic band structure and we show that no exponentially localized Wannier functions can be created from the physical modes of a three-dimensional crystal. Moreover, we comment on the use of conjugate gradient and randomized minimization algorithms that—together with the group theoretical considerations—facilitate the efficient numerical determination of maximally localized Wannier functions for many bands. This is a requirement for the accurate computation of Photonic Crystal functional elements and devices.
The main objective of this study is to investigate the economical distribution of generator load based on the Lagrangian Multipliers. The reasonable economical distribution of generator load based on the lagrangian mu...
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ISBN:
(纸本)9783037857243
The main objective of this study is to investigate the economical distribution of generator load based on the Lagrangian Multipliers. The reasonable economical distribution of generator load based on the lagrangian multipliers model is established in this paper, which uses the appropriate mathematics optimized algorithms whose computation precision is higher and convergence characteristics is good too. This algorithm improves the efficiency of computation, which is very significant in engineering
In this article, the author focuses on the utility of optical telescopes equipped with detectors, and time resolution for studying cosmic objects of both natural and artificial origins. Topics discussed include polari...
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In this article, the author focuses on the utility of optical telescopes equipped with detectors, and time resolution for studying cosmic objects of both natural and artificial origins. Topics discussed include polarization measurements, using the Favor and Tortora cameras, the movement of satellites and meteors could be registered, and Spaceguard Survey program. Other topics discussed include package of algorithms and programs for online, and data processing.
In the RFID system, the precise estimation of electronic tag number is very important for increasing tag identification precision and efficiency. The paper introduces three estimate arithmetic based on probability sta...
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ISBN:
(纸本)9783642324260
In the RFID system, the precise estimation of electronic tag number is very important for increasing tag identification precision and efficiency. The paper introduces three estimate arithmetic based on probability statistics, and analyzes and compare the arithmetic performance through mathematic analyze and simulation experiment. The result shows that the ZE estimate arithmetic, which estimate based on zero frame, and the CE estimate arithmetic, which based on conflict frame, can precisely estimate the number of tags under certain system load, and it also indicates that the max tag number which CE can estimate is bigger than ZE with the same system time slots, and the difference is a linear relationship with the system time slots.
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