This section contains the results of studying the relationship between 3D distributions of the optical anisotropy parameters of self-assembled soft matter films - polycrystalline blood film networks and layer-by-layer phase maps of the module and phase of the parameters of the "two-point" (correlation) Stokes vector of a microscopic image. The values and ranges of changes in the statistical moments of the 1st to 4th orders, which characterize the layered maps of the module and phase of the Stokes vector parameters of microscopic images of blood films taken from patients with adenocarcinoma of the prostate, were determined. Physically substantiated and experimentally determined the effectiveness of 3D Stokes-correlation mapping of blood film preparations in differentiating malignant conditions of prostate tissue with varying severity.
The study aims to explore a method for identifying corresponding objects across multiple camera views, to improve the accuracy of object re-identification. We analyzed various techniques, including contour detection, region of interest extraction, and keypoint extraction. We also examined the challenges of finding object correspondences between multiple camera views. To evaluate the effectiveness of the proposed method, we utilized two human attribute datasets, Market-1501 and DukeMTMC-reID, and performed extensive testing on these datasets.
An self-oscillating parametric optical transducer based on a quantum double-barrier heterostructure is proposed, the basic element of which is a tunnel-resonant diode, and it acts as a primary optical transducer and as an selfoscillating, which greatly simplifies the design of the optical transducer. Based on the consideration of physical processes in the tunnel-resonant diode, a mathematical model of the optical transducer was developed, on the basis of which the parametric dependence of the conversion and sensitivity functions was obtained. It is shown that the main contribution to the change of transformation functions and sensitivity is introduced by a change in optical power. This causes a change in the negative differential resistance of the oscillating system of the self-oscillating of the transducer, which, in turn, changes the output frequency of the device. At the same time, the internal capacitance and inductance also depend on the action of the optical power, but these changes do not affect the output frequency, since the external capacitance and inductance are four orders of magnitude greater than the internal capacitance and inductance of the tunnel-resonant diode. The sensitivity of the optical transducer varies from 15.27 kHz/μW/cm2 to 16.37 kHz/μW/cm2 in the measuring power range from 0 to 100 μW/cm2.
The paper clarifies neurocomputer and neurocomputer architecture term definitions. The choice of spiking neural network as neurocomputer operating unit is substantiated. The spiking neurocomputer organization principles are formulated by analyzing and generalization of the current level of knowledge on neurocomputer architecture (based on analogy with the well-known von Neumann digital computer organization principles). Analytical overview of current projects on spiking neural networks hardware implementation is conducted. Their major disadvantages are highlighted. Optoelectronic hardware implementation of spiking neural network is proposed as such that is free of mentioned disadvantages due to usage of optical signals for communication between neurons, as well as organization of learning through hardware. The main technical parameters of the proposed spiking neural network are estimated.
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