bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision support system for resource-saving control of extruders at multi-assortment productions of polymeric films
Authors: Fozilov M.M , Chistyakova T.B , Polosin A.N 
Published: May 2021

Abstract
A decision support system (DSS) is described, which helps operators to solve the problem of resource-saving control of extruders of various types used in the production of multi-assortment packaging polymer films (PF). It includes an industrial data mining subsystem for predicting the state of extruders and film quality, a subsystem for evaluating the performance of extruders, an information subsystem, and a data visualization subsystem for building trends of controlled and calculated parameters, interfaces for the extruder operator, administrator and knowledge engineer. The results of testing according to the data of extruders produced by PF at factories in Russia and Germany confirmed the efficiency of the DSS. The use of DSS allows you to save the resource of extrusion equipment, increase the time periods between its stops, and reduce the repair time.
Intelligent system for real-time adaptive management of groups of small satellites: design and experimenting
Authors: Skobelev P. , Galuzin V. , Galitskaya A. , Travin V. 
Published: May 2021

Abstract
The paper considers development of an intelligent system for real-time management of groups of small satellites, as well as an approach to its implementation built on the basis of multi-agent technology. It discusses the main disadvantages of traditional planning systems currently used to manage various space missions, which complicate their application with new-generation multi-satellite orbital groups. A brief problem statement for planning the operation of a space observation system is given. The architecture of the developed system is proposed, describing the functions of the main modules and screens, which make it possible to process applications for imaging of observation objects entering the system in real time. Results of experimental studies are also presented. They demonstrate applicability of the proposed approach to solving problems of managing groups of small satellites to increase efficiency of using resources of the space system. Finally, the prospects for development and application of the system are discussed.
Collaborative robot manipulator control in dynamic environment using computer vision system
Authors: Artemov K. , Kolyubin S. 
Published: May 2021

Abstract
This paper provides the trajectory planning and motion control schema for collaborative robot manipulator in a dynamic environment using the computer vision system. The key result is a real-time motion control algorithm using potential fields approach. The simulation results illustrate the performance of the proposed algorithm. As a test platform, the KUKA iiwa manipulator is used.
Paired tenzotremorogramms structure similarity analysis based on time series distance functions: problem formulation
Authors: Zhvalevsky O.V. 
Published: May 2021

Abstract
The paper is concerned with paired tenzotremorogramms that are a result of finger force registration (for both human arms) via sensitive platform with tenzosensor. The main hypothesis is: the dynamics of force hold process differs for different patient category (for healthy patients and for patients who have some pathology). In the paper some approaches to paired tenzotremorogramms structure similarity analysis are investigated. These approaches are based on application of time series distance functions.
Optimal model of manufacturing control system
Authors: Chertovskoy V. , Tsehanovsky V. 
Published: May 2021

Abstract
. It is noted that the manufacturing control optimization is an effective way both in the production processes automation and in the application of the mode of an operational transition to the new products release. Joint consideration of the options from the standpoint of system analysis made it possible to form a methodology of structural-algorithmic modeling, on the basis of which a homogeneous mathematical method is proposed. Interesting results for technical and economic procedures with an aggregate consideration of operational procedures are presented. Results for operational procedures (with detailed representation) together with the theory of description are obtained simultaneously. It is noted that a more complete use of optimization requires a joint description of the specified subject areas. The proposed solution is built on the basis of cyber-physical systems, methodology of structural-algorithmic modeling and a homogeneous method of description. The illustration on a two-block model of the system is given. The features of operational procedures from the standpoint of an integral description are formulated, and a joint description of subject areas is presented.
Autoregressive models of network traffic prediction
Authors: Tatarnikova T. , Sovetov B. , Chehanovsky V. 
Published: May 2021

Abstract
The relevance of the network traffic prediction is due to the requirement to store a large amount of data for a long time. In this regard, it is necessary to predict traffic volumes in order to take the necessary measures to protect and preserve data. The paper substantiates the use of autoregressive class models to construct predictive estimates. The results allowing substantiating the prospective requirements for the memory volumes of the node equipment of the infocommunication network are given.
Optimizing of Product Logistics Digital Transformation with Mathematical Modeling
Authors: Medennikov V. , Raikov A. 
Published: May 2021

Abstract
The purpose of the paper is to demonstrate the possibility of improving the quality of logistics in a rapidly changing situation based on mathematical modeling. The evolution of information technology worldwide goes from separate accounting of individual operations to their integration based on cloud and integrated technologies. Adaptive optimization is required, taking into account the dynamics of the external environment. The paper proposes a flexible mathematical model of management transformation in logistics. For this, a single digital logistics platform is formed as a connecting link for all participants in the value-added chain, including product manufacturers, suppliers of resources and services, product consumers, and logistics companies. At the same time, intermediaries who do not create added value could be excluded from the supply chain.
Stratified models of self-similar modular neural networks
Authors: Dorogov A.Yu. 
Published: May 2021

Abstract
A stratified model for self-similar modular neural networks that includes morphological, structural, topological and parametric levels is proposed. It is shown that the morphogenesis of the morphological model is determined in the population of terminal projections of the neural network modules. Structurally regular neural networks are considered. Simplification of modular neural network models without loss of functionality is achieved using translational connections. It is shown that fast transformation algorithms (including FFT) can be described by a topological model of a structurally regular self-similar network. A linguistic model for describing the topologies of regular self-similar networks is presented. An algorithm for constructing topological models of fast algorithms is proposed. The sufficiency of the topological model for describing the complete set of fast algorithms is shown. Parametric model of modular neural network is presented. Examples are given.
Adaptive-compartmental model of coronavirus epidemic and its optimization by the methods of artificial intelligence
Authors: Levashkin S. P. , Zakharova O. I. , Kuleshov S. V. , Zaytseva A. A. 
Published: May 2021

Abstract
In this work, we develop a systemic approach to the study of a new model of COVID-19 pandemic. The main goal is to minimize the pandemic damage to economy and society by defining the model optimal management parameters. Our approach consists of two main parts: 1) the adaptive-compartmental model of the epidemic (ACM-SEIR) – a generalization of the classical SEIR model and 2) the module to tune ACM-SEIR parameters using artificial intelligence methods (collection, storage and processing of big data from heterogeneous sources) that allow the most accurate adjustment of ACM-SEIR parameters turning it into an intelligent system for decision support called herein iACM-SEIR. We show that among iACM-SEIR parameters, the most important are individual economic, demographic and psychologic characteristics of society and the governmental actions.
Restricted Move – a Smart Contract Description Language to Create and Control Finance Instruments on DFinance Blockchain Platform
Authors: Spiridonov R. E. 
Published: May 2021

Abstract
Smart contracts created to issue tokens and control other digital financial assets on the majority of blockchain platforms require knowledge of programming language for specific platforms. This fact imposes a restriction on attracting financial specialists from conventional markets. This paper presents the concept of a Restricted Move language allowing the users to form a smart contract description in financial English, as well as its further development into a high-level digital asset management language, which can be extended by users and can open new opportunities to automate their market operations.
Application of in-house software to improve the design process of multifunctional aircraft indicators and control panels
Authors: Glukhov M. A. , Glukhova E. D. , Marunkov P. A. , Barulin A. S. 
Published: May 2021

Abstract
The process of frame development for Multipurpose Control and Display Unit (MCDU), Multi-Function Display (MFD), and Primary Flight Display (PFD) involves a significant documentation effort and must produce consistent interface at the early design stages. We developed a formal description of the interface, including the interaction vocabulary, as well as custom software to simplify these tasks and improve the overall design quality. The software builds a model of the human-machine interface and uses it to automatically generate frame specification/documentation. This methodology and the software are currently used in several commercial projects.
Determination of the added-liquid masses in the problems of control of the motion and stealthiness of marine underwater objects
Authors: Guryev Yu. V. , Zaletin V. V. 
Published: May 2021

Abstract
A numerical method for calculating the generalized additional masses of sea underwater objects with fins, performing both single and joint navigation of several objects, as well as with elastic vibrations of the hull, is presented. The flow is modeled using a continuous layer of sources and vortex frames that simulate the body and its fins. The method provides a strict account of the mutual influence of bodies and their elements and does not impose restrictions on their shape. Approbation of the method showed its reliability and the possibility of practical use in design practice, as well as in simulators and on-board complexes.
Radio Control of Unmanned Underwater Devices
Authors: Nikolaev A.V. , Fedosov D.V , Starchenkov A.V. 
Published: May 2021

Abstract
Practical development of easy-to-implement technical solutions for receiving and transmitting a surface electromagnetic wave (SEW) – that passes through the skin layer and propagates within the boundaries of the sea surface in the lower troposphere and the water’s edge – from a submerged position will create preconditions for the use of radio control channel in marine systems. The report reveals the topic of SEW using for radio control of unmanned underwater devices and describes the results of design work on the ultra-low radio frequency underwater small-sized antennas.
An approach to quantifying the minimum reliability level of a ship nuclear power plant operator
Authors: Gusev L. B. , Gorshkov A. A. 
Published: May 2021

Abstract
The report proposes an approach to assessing the minimum reliability level of control panel operators of the ship nuclear power plants based on a combined probability-deterministic analytical-simulation method, functional-structural theory and probabilistic-algorithmic models of the ergatic systems functioning.
Cost features of designing ekranoplanes and their control systems
Authors: Nebylov A.V. , Nebylov V. A. 
Published: May 2021

Abstract
The possibility of predicting the cost of construction of a new type of transport vehicle based on analogies with already developed related areas of transport engineering is discussed. Special attention is paid to assessing the complexity of creating ekranoplanes and their control systems. Features of the Arctic application of heavy ekranoplanes are studied in comparison with heavy icebreakers. The originality of tasks that should be carried out by modern and promising control systems is evaluated.
Vessel dynamics modelling for a decision support system in the threat of rapid flooding
Authors: Valyaev A. V. , Lukina E. A. , Fedosenko Yu. S. 
Published: May 2021

Abstract
A concept is suggested for modeling the dynamics of the fit of a displacement river vessel trimmi for making decisions about the readiness to use technical means of evacuation and rescue of passengers and crew in the event of a rapid flooding threat. The concept is based on the imitation of loading a large cargo, prone to displacement. The concept is implemented through continuous monitoring of the vessel fitting dynamics in a beyond design basis emergency, real-time forecasting of its development, and the captain taking proactive measures to evacuate passengers and crew.
Cooperative Lane-change on the Main-line of Highway in a Connected Vehicle Environment
Authors: Lin Peiqun , Chen Chen , Huang Xin , Ran Bin 
Published: May 2021

Abstract
The main-line lane-change (LC) and ramp LC are critical factors which decrease the mobility and safety of the transportation system. Connected Vehicle Technologies (CVTs) bring promising foundations for both types of LC to improve the traffic efficiency and reduce the crash risks by using real-time communication and systematic operation. Based on an 5G communication architecture, this paper proposes a novel CVT-based cooperative LC method which can be used for advanced traffic management to enhance the transport service. In the proposed approach, several Roadside Units (RSUs) are set up on the main-line of a highway to communicate with and manage connected client vehicles (CVs) for traffic flow smoothing. A mathematical model is developed to address the systematic maneuver of vehicles’ LC in the connected vehicle environment (CVE), and its solution algorithm is also proposed. In order to assess the proposed method, a simulation test-bed is developed using VISSIM COM, and a typical highway network is employed as the study case. The simulation results illustrate that the proposed method can increase 20.7% of traffic capacity in a two-lane highway. And when it is applied in dense traffic environment, it can reduce more than 90% of travel delay, more than 75% of maximum queue length, and more than 10% of fuel consumption and gas emission. Moreover, sensitivity analysis shows that the market penetration of CVT is a key factor that affects the result of CVT-based cooperative LC.
Energy Use and Econometric Evaluation of Sweet Sorghum in China
Authors: Ren Lantian , Hao Bing , Liu Hongman , Xie Guanghui 
Published: May 2021

Abstract
Energy productivity and consume sensitivity of sweet sorghum were investigated in comparison with maize, sunflower, and soybean at Wuyuan and Moqi County, Inner Mongolia Province, China. We got the data from 83 farmers who did grow sweet sorghum at Wuyuan and Moqi County by face-to-face survey. The sweet sorghum showed an expressively higher total energy-consume than sunflower at Wuyuan and soybean at Moqi, but less total energy-consume than maize at Moqi. Sweet sorghum had an expressively higher energy-production and net-energy than soybean, maize and sunflower. Among all the consumes, nitrogen fertilizer expended the highest portion of the total energy for almost the all crops except the diesel consume of sweet sorghum at Moqi which was a little higher than nitrogen fertilizer fraction. Compared with the conference crops, sweet sorghum showed higher diesel energy percentage at both sites (p < %) for a higher machinery level during harvesting season. The renewable energy was expending much lower than non-renewable. Same increase among all the consumes diesel will bring much more production based on Cobb-Douglas manufacture model. The sweet sorghum and conference crops displayed a growing return to scale. These means that production could be improved substantially by a modification of the nitrogen fertilizer amounts and information support systems.
Application Research on Wheel Blocking Device in Piggyback Transport Vehicle System
Authors: Li Chen , He Yinchuan , Li Wenqing , Tang Geteng 
Published: May 2021

Abstract
Piggyback transport is an important mode of highway-railway international transportation. The quality of loading and securement is directly related to the safety of transportation. This paper analyzed the piggyback transport vehicle system wheel blocking device using a combination of theoretical calculations and real vehicle tests. The results show that the wheel blocking device meets the requirements of piggyback transport in terms of strength and blocking effect.
Research on Traction Calculation Simulation System of Mid-low Speed Maglev Train
Authors: Liu Haidong , Wang Baoshan 
Published: May 2021

Abstract
According to the basic principle of train traction calculation, the traction calculation simulation algorithm of maglev train is designed, and the simulation system is developed. The system can realize the traction calculation simulation under different operation modes of single train. At the same time, taking the actual line as an example, the simulation results of train operation are given. The results show that there are some differences in running time, tractive time and energy consumption of trains under different operation modes, among which the running time of Cruise (time saving) mode is shorter, and the comprehensive evaluation effect of Cruise (energy saving) mode is better on total energy consumption, running time and comfort.
Formal Description and Verification of Mixed Right of Way Scenario for Guided Transport System Based on Vehicle-to-vehicle Communication
Authors: Zhu Tianwen , Cao Yuan , Mo Xiaofan 
Published: May 2021

Abstract
GTS (Guided Transport System) is an innovative new mode of urban transportation, which integrates the characteristics of rail transit into urban public transportation. It is a transportation system that meets the needs of low-cost and high-speed construction. According to the actual requirements of GTS, this paper proposes a GTS train control system based on vehicle-to-vehicle communication, and studies its mixed right of way scenario. Using UPPAAL to establish the formalized model of its typical operation scenario and verify the GTS train control system based on vehicle-to-vehicle communication whether it meets the requirements of functionality, performance and security.
Vulnerability Analysis of Urban Road Networks Based on Adaptive Signal Control
Authors: Cui Keqi , Shang Wenlong , Chen Yanyan 
Published: May 2021

Abstract
In the real environment, urban road networks (URNs) are often threatened by internal and external disruptions. Given that URNs tend to suffer from the capacity degradation caused by these disruptions, how to minimize losses is the key focus of traffic research. In this study, we propose a day-to-day dynamic evolution model for traffic assignment to analyze the vulnerability of urban road networks under different signal control strategies. The analysis of the vulnerability of a small road network shows that different adaptive signal control strategies can affect the vulnerability of urban road networks.
Analysis of Energy Supply Chain in Steel Industry Self-provided Power Plant
Authors: Meng Hua , Ju Zeng , Huang Yi 
Published: May 2021

Abstract
Based on the requirements of low carbon emissions, and aiming at the practical problems of unreasonable utilization of residual by-product gas and gas emission in iron and steel complex, the energy supply chain in iron and steel complex is preliminarily discussed and analysed from the perspective of system engineering. The main problems existing in energy supply chain in iron and steel complex are put forward from four aspects: raw material supply, node connection, management and environment. It lays a theoretical foundation for further research on the optimal scheduling of energy supply chain network.
Research on Multi-AGV Management System of Autonomous Navigation AGVs for Manufacturing Environment
Authors: Yang Yang , Quan Yanming , He Yiming 
Published: May 2021

Abstract
This paper serves intelligent AGVs which can autonomous positioning, autonomous navigation and autonomous movement. And build a multi-AGV management system for manufacturing environment applications, which is relatively complete functions and good interaction between users and AGVs. In order to meet the requirements, the system development process highlights the functional design of the AGV management system and optimizes the data processing capabilities. Complete the construction of the interface and database on the Qt and My SQL software. The test was conducted after importing into the test database. The results showed that the built system operated smoothly and the data processing was correct and timely.
Research on Optimization Strategy of Cold-chain Logistics Car Scheduling
Authors: Yang Aimin , Liu Jie , Wang Yue 
Published: May 2021

Abstract
In this paper, aiming at the vehicle information supervision problem existing in the transportation process of the third-party small and medium-sized cold chain logistics enterprises, combined with the actual monitoring demand of the vehicle, the cold chain logistics vehicle dynamic monitoring system is designed, and the vehicle scheduling optimization algorithm in the system is carried out. The study. In the aspect of vehicle scheduling in the system, an optimized genetic algorithm is used to find the optimal transportation path and reduce the transportation cost before transportation by planning the transportation sequence and path of the site.
Research on Bullwhip Effect Management in Supply Chain Based on System Dynamics
Authors: Lu Changxiang 
Published: May 2021

Abstract
Since the development of the Beer games in the last century, beer games and the bullwhip effect they reflect have attracted extensive attention and discussion from scholars. This paper will explore the causes of bullwhip effect, includes oscillation, amplification effect, and phase lag in supply chain management. With the help of system dynamics, the beer game model is constructed and the bullwhip effect is visually observed. From the perspective of sup-ply chain structure and management, this paper makes a comparative analysis of the inventory of supply chain management strategies, thus finding the direction of supply chain management optimization-accelerating flow, and helping supply chain managers and practitioners to develop-mental models.