Methods and Algorithms of Turbojet Engines Thrust Parameters Control Unerroric

This report shows a real way for solving the problem of turbojet engine thrust parameters control in flight. The purpose of the research is the formalization of the digital methods and its algorithms for turbojet engines thrust parameters control unerroric. The methods of deductive digital signal processing and combined method of system analysis and approximate synthesis are used for such research. It is described the digital algorithms of unerroric methods wich are based on rotor speed control for turbojet engines of twin-engine airliner by its power plant control system. There are given the calculation formulas for those algorithms.

Proposals for Modernization of Legal Regulation of Artificial Intelligence and Robotics Technologies in Russia with Platform Legal Models

Modern technologies and new management concepts — industrial and product platforms — create breakthrough innovative products and services based on the complex integration of artificial intelligence and other latest digital technolog3ies. Platforms are the physical embodiment of connectivity, digitalizing traditional manufacturing, lowering production costs, and converting goods into services that generate more value. Platform law could become a networking mechanism for artificial intelligence, big data, and the internet of things. It has features and instruments of legal regulation similar to those of integration law, but it is permeated, in accordance with its renewed nature, with scientific, technological and information-digital algorithms of legal relations and interactions. To meet the requirements of the time, legal institutions must change; the dominance of platform business models creates new legal relations and the need to search for new content and new legal forms of institutional regulation of changing social relations. Both traditional and adapted for its specifics methods are used in the article: historical, from the EU law — teleological (interpretation based on goals), comparative jurisprudence (synchronous and diachronous), comparative integration law, comparative law of science and technology, comparative legal regulation of AI and digital law, comparative platform law, comparative experimental law. The legal field of platform entities is in constant search of an effective balance between technological and economic innovations and their legal regulation. At the same time, it can become an effective mechanism for regulating artificial intelligence in the interests of humans.

Spanish riders law and the right to be informed about the algorithm

The Spanish Government has introduced a regulation which establishes: i) the presumption of employment in digital delivery platforms, and ii) the right of workers’ representatives to be informed about the parameters, rules and instructions on which the algorithms that may have an impact on working conditions are based. This article describes the new law and analyses the novelty of this regulation and its expected impact. The main conclusion is that with this law the Spanish legislator is seeking to clarify that the new technological options – digital algorithms and platforms – are simply the means of performing an economic activity and therefore people who render services within their scope should be considered as employees.

Administrative Justice in a Digital World

Using digital tools in administrative decision-making—from automation of relatively simple decisions to artificial intelligence judgements—both enhances and challenges the operation of administrative justice. By beginning with an understanding of digital algorithms as comprising computer code, digital data, and use context, this chapter highlights challenges for administrative justice in administrative discretion, data challenges, automating decisions and errors, information about administrative justice, appealability and accountability responsibility, and explainability. The chapter then examines legal, policy, and technological responses to strengthen administrative justice, including expanding digital rights, bolstering review rights via providing explanations and software code, and instituting organizational governance innovations and technical standards.

Enhancing Performance of Reservoir Computing System Based on Coupled MEMS Resonators

Reservoir computing (RC) is an attractive paradigm of a recurrent neural network (RNN) architecture, owning to the ease of training and existing neuromorphic implementation. Its simulated performance matches other digital algorithms on a series of benchmarking tasks, such as prediction tasks and classification tasks. In this article, we propose a novel RC structure based on the coupled MEMS resonators with the enhanced dynamic richness to optimize the performance of the RC system both on the system level and data set level. Moreover, we first put forward that the dynamic richness of RC comprises linear dynamic richness and nonlinear dynamic richness, which can be enhanced by adding delayed feedbacks and nonlinear nodes, respectively. In order to set forth this point, we compare three typical RC structures, a single-nonlinearity RC structure with single-feedback, a single-nonlinearity RC structure with double-feedbacks, and the couple-nonlinearity RC structure with double-feedbacks. Specifically, four different tasks are enumerated to verify the performance of the three RC structures, and the results show the enhanced dynamic richness by adding delayed feedbacks and nonlinear nodes. These results prove that coupled MEMS resonators offer an interesting platform to implement a complex computing paradigm leveraging their rich dynamical features.

Digitalization of the Residential Mortgage Market in Crisis Conditions: Main Factors and Drivers of Development

The industrialization of the residential mortgage market during the pandemic has undergone significant changes, like all sectors of the economy, including the banking system. During the transformation, a positive dynamics has been noted in the volume of loans, which contradicts the usual scenarios for the behavior of the mortgage market in the period of the unstable macroeconomic situation in recent years. The crises of 2008 and 2014 showed the vulnerability of the banking system and the market for residential mortgage market, the lack of timely measures to prevent drastic consequences for the banks and the state. At the moment, it is important to understand what drivers triggered the growth in the volume of residential mortgage. The research analyzed the reasons that had a key impact on the mortgage market and the banking sector during the covid-19 pandemic. As a result of the study, the main factors that help to draw up directions and digital algorithms for further development have been highlighted and classified.

LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE AND ROBOTICS: CONCEPTS AND PERSPECTIVES

More recently, the idea of a robot among laypeople was at the level of an "exhibition piece" that had little or no connection to real life, but rather was part of a theoretically possible future. But with the passage of time and the development of technology, artificial intelligence has been introduced into people's everyday lives: smartphones, robots that help and facilitate human life, electronic assistants in various kinds of services. At the same time, the relation-ship between robots and humans is still largely unregulated by law. The probability of unpre-dictable consequences is growing exponentially. In order to reduce the risk of such adverse consequences, the need for legal regulations plays a key role, the content of which is being reviewed and developed by leading lawyers and engineers. The Industrial Revolution changed the very notion of the ways and means of production in the minds of the masses in such a way that the process of robotisation and the introduction of artificial intelligence into various spheres of life became inevitable. Later on it was under-stood that human influence on production process began to decrease noticeably and was re-placed by programs, which with the help of digital algorithms determined behavior of robots and character of artificial intellect thinking. Russian legislation faced the task of legal assess-ment of the nature of artificial intelligence and regulation of its use. The article analyzes possible ways of disclosing the concept "artificial intelligence" as a legal category and its correlation to the concept "robot", deals with questions of legal respon-sibility for the work of artificial intelligence, studies the possibility of recognition of a robot possessing artificial intelligence as a subject of law. Purpose of work is to propose ways of legislation development in conditions of digitalisa-tion and introduction of artificial intelligence in everyday life. The topic of legal regulation of artificial intelligence and robotics is investigated on a scientific basis. The scientific basis of this article was formed on the basis of scientific works of foreign scientists (Higgins T., Musk I., Calo R., Frumkin A.M., Kerr I., Pagallo W., Walker J.). The scientific development of the content of this article was based on general scientific methods: analysis, synthesis, generalization, statistics, induction and deduction, interpretation, classification and comparative methods.

DEFORMATION OF CONSUMER DEMAND UNDER THE INFLUENCE OF ARTIFICIAL INFORMATION ASYMMETRY

Background. The formation of the information economy has stimulated eco­nomic entities to form and operate artificial information asymmetry, which highlights the importance of research in this problematic area. Analysis of recent research and publications. Information asymmetry has become the subject of research by a number of Nobel laureates and less-known econo­mists who have studied the effects of artificial information asymmetry in the system of "principal-agent" relations, competitive, contractual relations, and so on. The aim of the article is to determine the mechanism of influence of artificial information asymmetry on consumer demand. Materials and methods. The research is based on the theoretical and economic analysis of scientific works of researchers of the phenomenon of information asymmetry, as well as the analytical processing of statistical data. Graphic modelling of the influence of manipulative practices of creating artificial information asymmetry on the consumer value of economic good is carried out. Results. Deceptive commercial practices are becoming increasingly popular in the information economy, making it possible to critically increase the consumer value of economic benefits in terms of its emotional component. At the same time, the use of digital algorithms for consumer identification and collection of consumer histories allows the most productive exploitation of the corresponding increase in consumer value, converting it into additional income by means of price personalization. Conclusion. Regardless of the tool used to increase information asymmetry between buyers and sellers of consumer goods, the mechanism of its deforming influence remains unchanged: the primary deformation is subjective assessment of the total utility of con­sumption of goods, which causes overestimation of the emotional component of its consumer value, resulting in deformed consumer demand, the reserve price of the corres­ponding good increases, and with it - the personalized price of its sale for the concrete consumer.

COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES

Satellite images are widely used for assessing the areal extent of flooded areas. However, presence of clouds and shadow limit the utility of these images. Numerous digital algorithms are available for enhancing such images and highlighting areas of interest. These algorithms range from simple to complex, and the time required to process these images also varies considerably. For disaster response, it is important to select an algorithm that can enhance the quality of the images in relatively short time. This study compared the relative performance of five traditional (Histogram Equalization, Local Histogram Equalization, Contrast Limited Adaptive Histogram Equalization, Gamma Correction, and Linear Contrast Stretch) algorithms for enhancing post-flood satellite images. Flood images with different levels of clouds and shadows were enhanced and output generated were evaluated in terms of processing time and quality as measured by Blind/Reference less Image Spatial Quality Evaluator (BRISQUE), a no-reference image quality metric. Findings from this study will provide valuable information to image analysts for selecting a suitable algorithm for rapidly processing post-flood satellite images.

Post Human Craft: A Humble Attempt to Reorient Makers to the Inevitable

Nearing the end of the second decade of the twenty-first century many craftspeople and makers are waking up to the inevitable reality that our next human evolution may not be the same, that this time it could be different. Klaus Schwab, Founder and Executive Chairman of the World Economic Forum refers to what we are beginning to experience as the Fourth Industrial Revolution (Schwab 2017, 01). Schwab and his colleagues believe that this revolution could be much more powerful and will occur in a shorter period than the preceding industrial and digital revolutions. This revolution will cause a profound change in how we practice, labour and orient ourselves in the world. Rapidly evolving technologies will proliferate the use of robotics and personalised robots (co-bots) that can sense our presence and safely work alongside us. Digital algorithms are already becoming more reliable predictors of complex questions in medicine and economics than their human counterparts. Therefore, the gap between what a computer can learn and solve and what a robot can do will quickly close in the craft traditions. This article will engage in the discourse of posthumanism and cybernetics and how these debates relate to craft and making. Intentionally this work is not a proud manifesto of positions, strategies, and guidelines required for greatness. Alternatively, it is a humble attempt to reorient makers to the necessary discourse required to navigate the inevitable changes they will face in their disciplines. Thus, the article seeks to transfer posthumanist literary understanding to intellectually position craft in the Fourth Industrial Revolution.