bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cooperative ant colony optimization for a hierarchical scheduling problem
Authors: Dresvyanskiy D , Semenkina O , Popov E A 
Published: January 2020

Abstract
An important part of modern integrated decision support systems in any area is scheduling. At the same time, domain knowledge can be extremely complex and includes numerous restrictions and process rules, which makes the corresponding optimization problem highly complicated. This paper is based on a hierarchical problem structure where the top-level problem is the travelling salesman problem, and the nested resource-constrained project scheduling problem is replaced by the simulation model. Cooperative ant colony optimization as well as other biology-inspired algorithms were evaluated on a set of generated problems, and the obtained experimental results are presented here.
Models set pre-processing for genetic programming based evolvement of models of models
Authors: Semenkina Mariia , Burlacu Bogdan , Affenzeller Michael , Pitzer Erik 
Published: January 2020

Abstract
We describe in this paper an extension of standard Genetic Programming where the terminal set of the algorithm is expanded with a set of basic models generated offline using a deterministic approach. The new algorithm called EMM-GP (Genetic Programming based Evolvement of Models of Models) uses a specialized mutation operator to sample this set during the recombination phase in order to create models that reuse valuable building blocks. In this work, a preprocessing of model set by means of clustering is considered.
Functional safety of cyber-physical production of the Industry 4.0
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O 
Published: January 2020

Abstract
An actual task has been studied to develop science and technical organization measures to provide functional safety of an Industry 4.0 smart factory. Functional safety is an industrial company property to provide continuous manufacturing of item designing components should some emergency cases in production happen. There is a typical structure of cyber and physical production and some schemes (a cluster scheme and a matrix scheme) to provide company functional safety by applying reserve cyber and physical systems. Reserve cyber and physical systems could be part of automatic technological line and is engaged should some primary equipment components are failed. It is clear that cyber and physical system reserving method selection depends on necessary level of functional safety in the Industry 4.0 smart factory.
Fuzzy multiple regression technical and economic model of airport terminal passenger handling system
Authors: Guzha E D , Khvostova T V , Romanenko V A , Skorokhod M A 
Published: January 2020

Abstract
A two-stage technique for the formation of a multiple regression model with a fuzzy dependent variable and parameters and clear independent variables is proposed. The results of the construction of a fuzzy technical and economic model of the baggage handling system, which is the technological core of the passenger service system at the airport terminal, are considered. The model is supposed to be used at the early stages of design and optimization of airport ground handling systems with incomplete initial information.
The task of determining the optimal structure of the rolling stock fleet of urban passenger transport
Authors: Fadeev A I 
Published: January 2020

Abstract
The task of determining the optimal structure of the capacity of the rolling stock fleet of urban public passenger transport is considered. In the article, on the basis of the balance between the intensity of passenger flows and the carrying capacity of the rolling stock fleet of public transport. This balance is determined on the basis of the analysis of technical and economic parameters of large, medium and small capacity buses. The break-even intervals relationship on the route of buses of different classes is considered. The article formulates a mathematical model for calculating the optimal structure of the fleet taking into account the interaction of routes; provides an algorithm for solving the problem, based on the principle of directed enumeration of options. The results of applying the proposed method on the example of passenger transport in the city of Krasnoyarsk are presented.
Analysis of modern approaches for maintaining a comfortable microclimate in the buildings
Authors: Sansyzbay L Zh 
Published: January 2020

Abstract
This paper identifies the technical and economic aspects of application of intelligent technologies to maintain a comfortable indoor microclimate on the basis of statistical data. In the process of studying works of foreign authors, examples of the climate control systems are considered, which are developed based on the use of various intelligent technologies (fuzzy systems, neural networks, neuro-fuzzy modeling). The results of analysis have revealed the advantages and disadvantages of the given control systems and has defined promising further directions.
Computational load reduction of fuzzy duplicate detection in large amounts of information
Authors: Sharapova E 
Published: January 2020

Abstract
The paper deals with the detection of fuzzy duplicates of documents in large amounts of information with low computational costs. The existing methods give either low search completeness at low computational costs, or acceptable completeness at very large computational costs. It is proposed to use combined method of detecting fuzzy duplicates. At the beginning of the whole set of documents with the help of signatures similar texts are searched and then, using context analysis methods, a detailed comparison of the texts found in this way is carried out. The method first performs an approximate search for similar documents using description words signature with a small match threshold. A detailed search for matches in previously found documents is performed using the shingles method.
Methodology of creation and application of business process management model based on organization information space in an organization
Authors: Charikov P N 
Published: January 2020

Abstract
The interaction of the management system with the organizational system appears during the control actions transfer and feedback reaction via information, i.e. it realizes an informational interaction of two systems. It defines the main matter of the control system as the system that generates and consumes information about the educational process and based on the data transformation. Consequently, a controlled process can be interpreted as an information generating environment, and the control process as an environment which generates and uses information
The use of first-order plans to determine the degree of influence of external factors on the course of a chemical reaction
Authors: Fabrichkina M O , Shatrov A K , Baranov V V , Litovchenko V I 
Published: January 2020

Abstract
To estimate the significance of the influence of external factors on the course of a chemical reaction, experimental design methods can be used. This article discusses the possibility of applying first-order plans for this task. A linear model and a first-order plan were constructed and the significance of factors for a specific task was evaluated.
Bricklaying robot moving algorithms at a construction site
Authors: Malakhov A V , Shutin D V , Popov S G 
Published: January 2020

Abstract
Automation of bricklaying using mobile robots requires new solutions in many spheres, including developing new algorithms. A mobile bricklaying robot moving at a construction site is considered as a task of planning its trajectory. The task is partly similar to passing a maze but has some distinctive features. Analysis of required movements and analysis of structure of a typical masonry plan allows create an approach to building a moving algorithm for a bricklaying robot. The developed algorithms consist of two separate algorithms, one for moving while directly building walls, another for fast and effective travelling between two points of a map without laying bricks. The developed algorithm has to be tested for different masonry plans and may be optimized in the described ways.
Mechatronic system for fruit and vegetables sorting
Authors: Balabanov P V , Divin A G , Egorov A S , Yudaev V A 
Published: January 2020

Abstract
The functional diagram of the mechatronic system for sorting and monitoring the quality of vegetables and fruit is given. The control objects were exposed to short-term thermal effects from sources of IR radiation during the movement on a roller table conveyor. The temperature fields of healthy control objects and damaged one by phyto-diseases or mechanical effects are different. This fact allows using a vision system based on a thermal imaging camera to detect subsurface defects for rejecting damaged control objects. Hyperspectral method of control was used for the surface defects detection. Defects detection algorithms in IR range images, as well as on the results of spectrogram processing, are given.
The method of structural schemes transformation
Authors: Bronov S , Nikulin N , Avlasko P , Stepanova E , Krivova D 
Published: January 2020

Abstract
The structures of modern automatic control systems often have many contours. The method of structural schemes automated transformation to obtain the transfer functions of the system with an arbitrary combination of external input and output actions of the blocks has been proposed. The inputs of the blocks are connected to the outputs of the previous blocks. Therefore, the analysis of output actions is simultaneously considered to be the analysis of input actions. But there is also a need to analyze separately the actions at inputs and outputs of the blocks. The result of the manipulation is matrix of transfer functions of the system. It can be for outputs and inputs of blocks’ actions. The presented method can be used in the controllers’ synthesis.
Justification for choosing a single-board hardware computing platform for a neural network performing image processing
Authors: Tolmacheva A E , Ogurtsov D A , Dorrer M G 
Published: January 2020

Abstract
This article describes testing the operation of the YOLO2 neural network on single-board platforms and processors. The task was to find a computing platform on which the neural network could perform the processing of the images presented to it as quickly as possible. In this case, interference in the operation of the remaining modules of the system should have been minimized. In addition, the task was to minimize the solution price. Based on the results of the comparison, the Neural Compute Stick 2 hardware platform was chosen as a computing platform for the tasks with neural networks. In the future, the selected module can be used instead of the NVIDIA 1070 ti video card for the task of clustering and segmenting objects using the YOLO2 real-time network. This choice will simplify the design of the hardware-software complex and minimize its cost.
Information technology for the deployment of the OpenStack cloud environment
Authors: Shevchenko V I , Chengar O V , Kokodey T A 
Published: January 2020

Abstract
This article discusses the information technology of implementing and adapting cloud services for a research laboratory using the OpenStack open environment as an example. The structure of the cloud computing environment is developed. An example of the implementation of the installation and configuration of client and server applications using three computers is given. The proposed technology will allow the user to deploy and configure the OpenStack environment with basic services for installing virtual machines with an internal network and a set of external addresses.
Application of neural network modeling and fuzzy inference methods in cladding operation design
Authors: Rastorguev D A , Zotov A V , Dema R R 
Published: January 2020

Abstract
The article considers an example of a combined approach in the technological operation designing. The features of this approach are considered when choosing and calculating the design and technological parameters of the operation. The proposed method combines the use of the analytical and experimental studies results with soft computing. The example of multi-stage iterative designing of the cladding operation shows how to simplify it. The application of neural network and fuzzy modeling is considered in terms of expanding the possibilities of working with data obtained from analytical and experimental studies. Combining neural network and fuzzy modeling makes it possible to dispense with a minimum amount of data to obtain working dependencies. Such a combined application of the methods provides high accuracy of output data forecasting. Due to the high generalizing ability, the possibility of adaptation and adjustment, the proposed approach allows to expand technological capabilities in the design of operations, to increase the efficiency and competitiveness of production.
Information system to support the achievements assessment of future engineers in the learning process
Authors: Bets Yu S , Tynchenko V S , Kukartsev V V , Bukhtoyarov V V , Dremin R S , Filimonov I S 
Published: January 2020

Abstract
This article discusses a comparative analysis of the monitoring and analysis information systems existing in the world, a description of the subject area of the system being developed, analysis of existing software tools, such as the Science information and analytical system, the Monitoring and evaluation of academic achievements system, and AIS Elzhur. We consider the development and design of the algorithm of the system. At the stage of logical design, all attributes and attribute domains were formed, a logical model was built, and a physical model of the system was developed using the dbForge for MySQL database administration program with the structure of the database tables. The structure of the software product as a whole was developed, and the interaction structure of the tabs of the main window was described in detail and the process of working with the system was described. As a result of the study, an automated system was developed for taking into account the rating of athletes at Reshetnev Siberian State University of Science and Technology on the basis of the sports club. The proposed information system allows to accumulate data on sports activities of students, to evaluate the effectiveness of sports activities with various details, to compile, build and print a variety of reports and schedules for a certain time period, to optimize the process of evaluating sports activities and assigning rewards through the developed system criteria for rating building, reduce the time required to search for information due to the possibility of search and filtering.
The algorithm of overall optimization based on the principles of intraspecific competition of orb-web spiders
Authors: Baranov V A , Lugovaya N M , Mikhalev A S , Kudymov V I , Strekaleva T V 
Published: January 2020

Abstract
This work presents a new global optimization algorithm based on the behavior of orb-web spiders. The spider method is a heuristic competitive iterative method of random search whose main idea is to model the behavior of Garden orb-web spiders. The paper describes a solution search strategy based on the features of building a web and competitive behavior; the step-by-step algorithm for solving the problem is presented. The concept of the method is simple; the algorithm does not contain complex calculations. The positions of spiders and flies (test points) are generated randomly, herewith, due to the correct selection of the obtained values, the search for an optimum lead to a rather accurate result. The article describes all the parameters used in the method and presents recommendations for changing settings. The selection of the optimal parameters for various classes of test functions is performed. Parameter settings were performed on three classes of test functions: unimodal, ravine, and multiextremal. As part of the work, a computational experiment was conducted to study the effectiveness of the developed method as well. We compared the proposed method with other proven metaheuristic optimization algorithms. The method showed good results both when working with simple (unimodal) functions, and when finding the optimum of functions with a more complex landscape (multiextremal functions). Based on the above advantages, the spider method can be adapted to solve applied problems with relative ease.
The issue of dynamic optimization of a group of continuous production plants
Authors: Khakimov R A , Novikov A A 
Published: January 2020

Abstract
The article describes the problem of minimizing the consumption of olefins feed, provided that the plan for the production of alkylate for the alkylation process is fulfilled. The basic principles and approaches to the solution of this problem are considered. As a practical application, the method based on interaction with predictive models was chosen. Matlab was used as the environment for development. Mathematical models describing the dynamics of the alkylation process were obtained. The models have high accuracy and can be used to solve the problem of dynamic optimization. A numerical experiment was carried out; the results of the solution were compared with the real historical data of the process and confirmed the efficiency of this solution.
Distributed approach for optimization problems
Authors: Zaporozhets D , Zaruba D 
Published: January 2020

Abstract
The paper deals with a distributed approach for optimization problems based on the use of bioinspired algorithms. This class of algorithms allows us to split solutions into independent subsets and process it in separate streams. One of the main problems is a decomposition and subsequent convolution of the solution. The problem becomes more complex in those cases when several decomposition levels are required. From the point of view of computing power, the simultaneous processing of parallel threads requires significant CPU time and RAM resources. In this regard, the use of several compute nodes that interact via network interfaces contributes to an increase in computational resources and an enhance fault tolerance of the system. The paper proposes the distributed subsystem for NP-complete optimization problems solving, which allows to split a set of input data into subsets in an automated mode, distribute subtasks between computational nodes, and collect the results to solve the original problem. To confirm the system performance, a software implementation was developed in the Java and the message broker RabbitMQ to ensure the interaction of software agents with each other. A series of experiments were carried out, in which studies were conducted with several simultaneously running tasks and agents.
Integrated algorithm for elements placement on the printed circuit board
Authors: Kureichik V , Kuliev E , Kureichik V 
Published: January 2020

Abstract
The paper discusses one of the priority design problem – the placement of elements on the printed circuit board (PCB). It relates to the NP-hard class of discrete optimization problems. The paper describes the placement problem and provides its formal statement. A complex criterion considers critical connections and total length of connections. The connection graph is selected to simulate the placement problem. To respond effectively to the challenge, there is proposed a heuristic for isolating the connected fragments of the graph model as building blocks. The developed integrated algorithm based on genetic, evolutionary and ant search strategies is organized hierarchically. This algorithm obtains quasi-optimal solutions in polynomial time, as well as parallelize the search process and partially eliminate the preliminary convergence problem. In order to conduct experiments, a software realization of the integrated algorithm has been developed. A series of tests and experiments clarify theoretical estimates of the time complexity and behavior of the developed algorithm for various structures of schemes. The time complexity has been represented by O(nlogn) at the best case and O(n3) in the worst case.
Earliest arrival dynamic flow model for emergency evacuation in fuzzy conditions
Authors: Gerasimenko E , Rozenberg I 
Published: January 2020

AbstractTasks of emergency evacuation planning on dynamic networks in fuzzy conditions are becoming ubiquitous because of the imprecise time-dependent nature and arguments of network. Underlying basis for evacuation tasks are different types of flow algorithms. The paper aims to present the urgent problem of artificial intelligence, namely, the development of a method for finding the optimal evacuation plan in a transportation network in fuzzy conditions as the universal flow problem. The proposed method consists in transporting the maximum number of aggrieved in each time interval based on finding the maximum flow of the earliest arrival in a fuzzy dynamic transportation network. The process of flow conveying is implemented on the network with time-dependent parameters. The main contribution of this paper is to propose a method operating arc capacities and traversal times that can vary depending on the flow departure time and are represented in a fuzzy form. Technique of blurring fuzzy numbers is represented to facilitate calculations. A case-study in the area of Bolshoi Theatre Moscow, Russia and surroundings is conducted to illustrate proposed algorithm. Experiments on the designed network were conducted to check resistance of the network to topology changes.
Determining the public transport demand by validation data of the electronic tickets
Authors: Fadeev A , Alhusseini S 
Published: January 2020

Annotation
Currently, the definition of transport demand is relevant and not fully solved problem. Existing methods of transport demand calculating provide for on-site examination of passenger flows, which requires a lot of time and resources. Indirect methods of studying transport demand, based on the collection, integration and analysis of large and heterogeneous data generated by various sources in the spaces of human activity: mobile phones, vehicles, etc. (Urban computing [10], Big data [11, 12], internet of things, IoT) represent a special perspective. The article considers a method to determine the transport demand according to the results of the electronic tickets validation (electronic travel tickets): formulated the problem of determining the traffic demand according to system of accounting for electronic tickets and the system of satellite automobile transport monitoring (Global navigation Satellite System), the principle of its decision, the issues of obtained results adequacy.
On acceleration of the k-ary GCD Algorithm
Authors: Amer Ismail 
Published: January 2020

Abstract
In our paper we analyze a method of acceleration of the k-ary Algorithm of finding the greatest common divisor for long natural numbers. The k-ary GCD algorithm was invented in 1990 by J. Sorenson. We show that a small modification of Sorenson’s Algorithm gives a sufficient acceleration of its work. This is useful for applications using the GCD operation like calculations in finite fields, generation of Cryptography keys etc.
Formation of initial data when planning for custom manufacturing
Authors: Noskova E E , Kapulin D V , Vinnichenko M V , Russkikh P A 
Published: January 2020

Abstract
The formulation of the problem of production planning for custom small-scale electronic production is considered. In order to increase the efficiency of solving automation planning problems, an approach has been developed to generate optimal initial data for planning, taking into account their dimensionality. An improvement in the execution time of production plans at the first stage of manufacturing an order by an average of 5-10% is shown.