ENZYMATIC HYDROLYSIS OF BREWING WASTE DIETARY FIBRES FOR CONFECTIONERIES PRODUCTION

In this paper, the effect of enzyme doze on the breakdown of brewing waste dietary fibres has been studied. An increase in the amount of an enzyme induced was found to a decrease in the percentage of fiber from 10% to 7%, as well as an increase in mass concentration of glucose in the supernatant solution from 18 to 72.Работа выполнена при финансовой поддержке Благотворительного фонда Потанина

Транслятор с возможностью статического анализа безопасности информационных потоков для простого языка программирования

We consider while-language programs with variables of two security types: low and high. Security static analysis of information flows of such programs identifies insecure information flows which can cause leaks. Semantic rules of such an analysis which was proposed in [6] assign security types for expressions, operators and compositions of operators. We use these rules to propose an algorithm of security static analysis to discover a security type of the program under consideration. If such a type can be assigned, information flows of the program are secure; otherwise, it contains insecure information flows. We have used flex and bison [5] tools to implement a translator for a while-language into the MMIX computer [2] instruction sequence.Рассматриваются программы, написанные на while-языке, с переменными двух типов безопасности: секретными и открытыми. Статический анализ безопасности информационных потоков программ идентифицирует небезопасные информационные потоки, через которые могут произойти утечки информации. При таком анализе по правилам, предложенным в [6], определяются типы конфиденциальности выражений, операторов и композиции операторов.На основе этих правил был разработан алгоритм статического анализа безопасности программ, который заключается в попытке их типизирования. Если в результате программа типизируема, то она является безопасной с точки зрения информационных потоков; если же программе нельзя присвоить тип безопасности, то в ней содержатся небезопасные информационные потоки, и, следовательно, она является небезопасной.С помощью средств генерации лексических и синтаксических анализаторов flex и bison [5] был разработан транслятор программ, написанных на while-языке, в код машины MMIX [2]

Spatial Navigation Based on Novelty Mediated Autobiographical Memory

Abstract. This paper presents a method for spatial navigation performed mainly on past experiences. The past experiences are remembered in their temporal context, i.e. as episodes of events. The learned episodes form an ac-tive autobiography that determines the future navigation behaviour. The epi-sodic and autobiographical memories are modelled to resemble the memory formation process that takes place in the rat hippocampus. The method im-plies naturally inferential reasoning in the robotic framework that may make it more flexible for navigation in unseen environments. The relation between novelty and life-long exploratory (latent) learning is shown to be important and therefore is incorporated into the learning process. As a result, active au-tobiography formation depends on latent learning while individual trials might be reward driven. The experimental results show that learning mediat-ed by novelty provides a flexible and efficient way to encode spatial informa-tion in its contextual relatedness and directionality. Therefore, performing a novel task is fast but solution is not optimal. In addition, learning becomes naturally a continuous process- encoding and retrieval phase have the same underlying mechanism, and thus do not need to be separated. Therefore, building a “life long ” autobiography is feasible.

Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics

Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupled dynamical system for studying real time interaction between a human and a machine. In this proof of concept study, human subjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by a computerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of human coordination. As a surrogate system for human social coordination, VPI allows one to examine regions of the parameter space not typically explored during live interactions. A number of novel behaviors never previously observed are uncovered and accounted for. Having its basis in an empirically derived theory of human coordination, VPI offers a principled approach to human-machine interaction and opens up new ways to understand how humans interact with human-like machines including identification of underlying neural mechanisms

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications

Humanoid robots are retrieving emotion from motion analysis

This paper presents an application for hand waving in real time using a parallel framework. Analysis of 15 different video fragments demonstrates that acceleration and frequency are relevant parameters for emotion classification of hand waving. Its solution will be used for human-robot interaction with the aim of training autistic children social behavioral skills in a natural environment

ASSESSMENT OF THE EFFICIENCY OF THE REGIONAL SYSTEM FOR WASTE MANAGEMENT

As a result of comparative analysis of statistical data on the amount of waste and storage areas in the territory of the Volgograd region, it is revealed that to date, there is an increase in the share of used, recycled wastes in the total volume of generated production and consumption wastes. However, the regional waste management system does not ensure a complete clean-up of the territory and effective implementation of activities in this area. The Volgograd region is characterized by significant anthropogenic pressures on regional components of the environment, which are caused by intensive activities of many industrial enterprises and transport. The main trends observed in the sphere of waste management in the region are a steady increase in the volume of waste generation, followed by their placement in landfills and unauthorized dumps; pollution of the environment with industrial, communal and agricultural wastes. There are practically no capacities and technologies in the region for the involvement of waste in economic circulation. The identified peculiarities and problems in the organization of waste processing actualize the need to develop the measures on improving the waste management system in the region: the combination of direct and two-stage waste removal, the exclusion of storage of unsorted waste at landfills, the reconstruction of container sites and the development of a container and garbage park, the construction of waste sorting/garbage processing complexes, in connection with the increase in the volume of production and consumption wastes, which remains one of the main environmental problems in the Volgograd region