Experimental Study on Phase Conjecture Based on Two-dimensional Image and Carrying Three-dimensional Image With Mist in Electro-holographic Reconstruction *

A method is proposed for phase conjecture based on the intensity curve of a two-dimensional(2D) image by computing a polynomial equation. The intensity values of the 2D image, which represents the distance between the image detectors and the three-dimensional(3D) scene is converted to phase information by our method. The results of numerical calculation with phase conjecture are analyzed. And what’s more, the numerical reconstruction results with phase information obtained as initial phase factors of a complex object for Fresnel kinoform and dynamic pseudorandom-phase tomographic computer holography(DPP-TCH) are compared. The peak signal-to-noise ratio(PSNR) and correlation coefficient (CC) between the reconstructed images and original object are analyzed. An experimental system is designed for photoelectric holographic reconstruction based on phase-only liquid crystal spatial light modulator(LC-SLM) and mist screen. The electro-optical experimental results indicate that suppressed the speckle noise 3D images that can be observed with naked eye have been obtained.

An Approach to Risk Assessment and Threat Prediction for Complex Object Security Based on a Predicative Self-Configuring Neural System

We identified a set of methods for solving risk assessment problems by forecasting an incident of complex object security based on incident monitoring. The solving problem approach includes the following steps: building and training a classification model using the C4.5 algorithm, a decision tree creation, risk assessment system development, and incident prediction. The last system is a predicative self-configuring neural system that includes a SCNN (self-configuring neural network), an RNN (recurrent neural network), and a predicative model that allows for determining the risk and forecasting the probability of an incident for an object. We proposed and developed: a mathematical model of a neural system; a SCNN architecture, where, for the first time, the fundamental problem of teaching a perceptron SCNN was solved without a teacher by adapting thresholds of activation functions of RNN neurons and a special learning algorithm; and a predicative model that includes a fuzzy output system with a membership function of current incidents of the considered object, which belongs to three fuzzy sets, namely “low risk”, “medium risk”, and “high risk”. For the first time, we gave the definition of the base class of an object’s prediction and SCNN, and the fundamental problem of teaching a perceptron SCNN was solved without a teacher. We propose an approach to neural system implementation for multiple incidents of complex object security. The results of experimental studies of the forecasting error at the level of 2.41% were obtained.

Experimental legal regimes of mobilization type as a method of legal regulation in the context of COVID-19 spread

Experimental legal regime; COVID19; legal regime; legal experiment; “regulatory sandboxes”; legal technique; classification of legal experiments; legality; experimental legal regimes of mobilization type on legal forecasting and legal interpretation methods. The theoretical basis of the research includes well-known legal science categories, i.e. legal regime and legal experiment that get a new interpretation with the appearance of experimental legal regime institute. The main results of the research, scope of application. Experimental legal regime is a broader legal phenomenon than regulatory sandboxes, which includes not only regulation of the digital innovation sphere, but also other rules that are limited in time and space. There are legal regimes with signs of experimentation that are not officially identified by the state as experimental legal regimes. The work studied the experience which arose due to modern changes in state and legal regulation caused by the global epidemic of COVID-19. It is suggested to divide the legal experiments according to the purpose of experimental legislation into the following groups: optimizing, progressive and mobilization ones. The aim of the first group named “Optimizing legal experiments” is to test using of new regulation applied to a large and complex object. The second group named “Progressive legal experiments” is intended to check whether the abandonment of old laws is beneficial in the innovation field. The result is creation of a smart regulation for economic and technological development. The third group named “Mobilization legal experiments” is aimed at maintaining of the existing level of resources, security, and infrastructure in the event of critical situations. It is being proved that the legal restrictions aimed at preventing of COVID-19 viral infection spreading can be classified as experimental legal regimes of mobilization type. The criterion for distinguishing of mobilization experimental legal regimes from others is the voluntary participation in the legal experiment and the goal of the experimental legal regime.Conclusions. The development of mobilization experimental legal regimes implies raising of their legality. It can be achieved by the provision of legal guarantees such as the goals of the legal experiment and the evaluation of their consequences. This will allow identify whether the consequences of the experiment correspond to the goals of the new legal regulation. There must be grounds for limitations to legal certainty caused by legal experimentation. Their manifestation is the goal and evaluation criteria, with the help of which it is possible to determine whether the consequences of the establishment of the experiment correspond to the goals of the new legal regulation. Otherwise, there is a risk of unjustified infringement of the rights and legitimate interests of citizens.

Development of system typology and choice of preferred simulation modelling methods for DSS-toolkit

Formulated a position on the feasibility of developing and applying a highly developed simulation models of complex object within scope of justifying of managerial decisions. Selected set of classification factors that determine the performance of a typology of simulation methods. The article reveals the content of the applicable methods of simulation in relation to the procedure of organization of promotion in the model time. The existence of the problem of forming of the simulation method and its principal conceptual solvability by preparation and implementation of research optimization (analysis and/or synthesis of this method) is shown. An innovative extension of the set of these methods is introduced. The considerations concerning the preferred method for application for a certain category of object of modellings - the method of key model events are formulated. The problem of synthesis of a method of combination of group of methods of simulation is allocated.

Finger stability in precision grips

Stable precision grips using the fingertips are a cornerstone of human hand dexterity. Occasionally, however, our fingers become unstable and snap into a hyper-extended posture. This is because multi-link mechanisms, like our fingers, can buckle under tip forces. Suppressing this instability is crucial for hand dexterity, but how the neuromuscular system does so is unknown. Here we show that finger stability is due to the stiffness from muscle contraction and likely not feedback control. We recorded maximal force application with the index finger and found that most buckling events lasted less than 50ms, too fast for sensorimotor feedback to act. However, a biomechanical model of the finger predicted that muscle-induced stiffness is also insufficient for stability at maximal force unless we add springs to stiffen the joints. We tested this prediction in 39 volunteers. Upon adding stiffness, maximal force increased by 34±3%, and muscle electromyography readings were 21±3% higher for the finger flexors (mean±standard error). Hence, people refrain from applying truly maximal force unless an external stabilizing stiffness allows their muscles to apply higher force without losing stability. Muscle recordings and mathematical modeling show that the splint offloads the demand for muscle co-contraction and this reduced co-contraction with the splint underlies the increase in force. But more stiffness is not always better. Stiff fingers would interfere the ability to passively adapt to complex object geometries and precisely regulate force. Thus, our results show how hand function arises from neurally tuned muscle stiffness that balances finger stability with compliance.

A discussion of S.M. Krylov’s book «Neocybernetics» (2008)

A comparative analysis of the “general formal technology (GFT)” by S. M. Krylov is carried out in the context of the published book of the authors “General Theory of Technologies and Microelectronics” (2020) and on the basis of his work of 2008. Despite the abstractness of the algebraic-algorithmic approach, Krylov offers a number of specific constructions that are in demand during the fourth industrial revolution and for the future development of industrial technology in nanoelectronics and biotechnology. Industrial technology is considered as a complex object of management, i.e., it is the object of study of the new discipline «neocybernetics». Although the foundations of this approach were laid in 1930s–1960s within the framework of logical and mathematical research, its expansion is inevitable when using self-organization processes to obtain functional supramolecular structures in technological processes of nanoelectronics (for example, DNA origami engineering). The issues of complexity quantification for a product itself (structure) and its manufacturing technology, or, according to Krylov, the complexity of technological automata, have become even more relevant than before. The theoretical issues of self-organization, the development of artificial life, and the creation of self-replicating technical systems also seem promising for solution. In our opinion, Krylov’s formal technology is an important “block” in the advancement of general theory of technologies (GTT) useful for describing the technology at the levels: operation, route, and process. We would like to encourage a wide range of readers to study the book and form a steady interest in general technological issues. The value of GTT and GFT extends beyond the sphere of technology and, in a narrow sense, factory production, but also into the area of «fine» regulation of physiology in biological objects and pharmacy, as well as into the problem field of cognitive sciences, psychology, and education. when the focus is on the personality structure and heterogeneous constructs «floating in the sea of the unconscious». Both S.M. Krylov and we demonstrate that the issues of industrial technology cannot be considered without abstract formalization and without reference to philosophy.

Mathematical Modeling of Food Processing Operations: A Basic Understanding and Overview

Modeling is the core of food processing supported by many approaches and governed by heat, mass, and momentum transfer equations. The objective of this paper is to mainly discuss and introduce mathematical modeling of some food processes. Food processing is unique from other material processing, as it includes complex multiphase transport and change in material properties during processing. It poses a great challenge in food process engineering. Now a day’s, consumers are taking more precautions before eating something. The way of food processing effectively impacts food quality. Most of the conventional industries use thermal processes like pasteurization, sterilization, and freezing. In recent years the main aim has been to improve these conventional processing technologies. Characterization of temperature distribution is done by mathematical modeling during processing, so this review paper aims to introduce mathematical modeling as a potential tool for the food processing industry. The mathematical models discussed in this article captures the essential features of a complex object or process based on a theoretical understanding of the phenomena and available measurements.

The Effect of the Range of a Modulating Phase Mask on the Retrieval of a Complex Object from Intensity Measurements

In many fields of science, it is often impossible to preserve the information about the phase of the electromagnetic field, and only the information about the magnitude is available. This is known as the phase problem. Various algorithms have been proposed to recover the information about phase from intensity measurements. Nowadays, iterative algorithms of phase retrieval have become popular. Many of these algorithms are based on modulating the object under study with several masks and retrieving the missing information about the phase of an object by applying mathematical optimization methods. Several of these algorithms are able to retrieve not only the phase but also the magnitude of the object under study. In this study, we investigate the effect of the range of modulation of a mask on the accuracy of the retrieved magnitude and phase map. We conclude that there is a sharp boundary of the range of modulation separating the successfully retrieved magnitude and phase maps from those retrieved unsuccessfully. A decrease in the range of modulation affects the accuracy of the retrieved magnitude and phase map differently.

The Application of Quaternions to Strap-Down MEMS Sensor Data

We describe the mathematical transformations required to convert the data recorded using typical 6-axis microelectromechanical systems (MEMS) sensor packages (3-axis rate gyroscopes and 3-axis accelerometers) when attached to an object undergoing a short duration loading event, such as blast loading, where inertial data alone are sufficient to track the object motion. By using the quaternion description, the complex object rotations and displacements that typically occur are translated into the more convenient earth frame of reference. An illustrative example is presented where a large and heavy object was thrown by the action of a very strong air blast in a complex manner. The data conversion process yielded an accurate animation of the object’s subsequent motion.