bluuebunny/crossref_metadata_2025 huggingface dataset:
A study of the global magnetic activity of the star Kepler-17 using light curve inversion with bipartite regularization
Authors: Luo Tao , Liang Yan-Yan , Ip Wing-Huen , Huang Hao-Zhi , Lin Xu-Xin
Published: May 2021

A new method of light curve inversion with bipartite regularization (LIBR), which is complementary to the previous treatments by Bonomo and Lanza and Estrela and Valio, is used to reconstruct the physical properties of star spots on the solar-type star Kepler-17 by using the full Q1- Q17 data set. The Markov Chain Monte Carlo (MCMC) method was applied to find the best profile of the reconstructed surface. The known value of the rotation inclination of Kepler-17 allows the generation of a star spot model in a sequence of stellar rotation with a period of 12.26 d. Because of the nature of the light curve inversion, the spot model is limited to the equatorial region. We also investigated the starspot lifetimes of Kepler-17 utilizing the MCMC method. Combined with the LIBR inversion results, it was found that the star spots typically last from one to several stellar rotations. From the time evolution of the spot size, a magnetic cycle period of 437 d can be derived. This value is comparatively shorter than the solar cycle which might be a consequence of the younger age (∼ 1.78 Gyr) of Kepler-17. The light curve of Kepler-17 is characterized by the presence of large-amplitude variation caused by star spots but no superflare activity. An interesting possibility is that the magnetic energy stored in the star spot regions could have been constantly dissipated by electrodynamic interaction between the central star and the hot Jupiter, Kepler-17b, via a lower-level energy release process.
Explaining recently studied intermediate luminosity optical transients (ILOTs) with jet powering
Authors: Soker Noam , Kaplan Noa
Published: May 2021

We apply the jet-powered ILOT scenario to two recently studied intermediate luminosity optical transients (ILOTs), and find the relevant shell mass and jets’ energy that might account for the outbursts of these ILOTs. In the jet-powered ILOT scenario, an accretion disk around one of the stars of a binary system launches jets. The interaction of the jets with a previously ejected slow shell converts kinetic energy to thermal energy, part of which is radiated away. We apply two models of the jet-powered ILOT scenario. In the spherical shell model, the jets accelerate a spherical shell, while in the cocoon toy model the jets penetrate into the shell and inflate hot bubbles, the cocoons. We find consistent results. For the ILOT (ILRT: intermediate luminosity red transient) SNhunt120 we find the shell mass and jets’ energy to be M
s ≃ 0.5 − 1 M
⊙ and E
2j ≃ 5 × 1047 erg, respectively. The jets’ half opening angle is αj
≃ 30° − 60°. For the second peak of the ILOT (luminous red nova) AT 2014ej we find these quantities to be M
s ≃ 1 − 2 M
⊙ and E
2j ≃ 1.5 × 1048 erg, with αj
≃ 20° − 30°. The models cannot tell whether these ILOTs were powered by a stellar merger that leaves one star, or by mass transfer where both stars survived. In both cases the masses of the shells and energies of the jets suggest that the binary progenitor system was massive, with a combined mass of M
1 + M
2 ≳ 10 M
⊙.
Resolving the inner jet of PKS 1749+096 with super-resolution VLBA images at 7 mm
Authors: Cui Lang , Lu Ru-Sen , Yu Wei , Liu Jun , Patiño-Álvarez Víctor M. , Yuan Qi
Published: May 2021

High resolution imaging of inner jets in Active Galactic Nuclei (AGNs) with Very Long Baseline Interferometry (VLBI) at millimeter wavelengths provides deep insight into the launching and collimation mechanisms of relativistic jets. The BL Lac object, PKS 1749+096, shows a core-dominated jet pointing toward the northeast on parsec-scales revealed by various VLBI observations. In order to investigate the jet kinematics, in particular, the orientation of the inner jet on the smallest accessible scales and the basic physical conditions of the core, in this work we adopted a super-resolution technique, the Bi-Spectrum Maximum Entropy Method (BSMEM), to reanalyze VLBI images based on the Very Long Baseline Array (VLBA) observations of PKS 1749+096within the VLBA-BU-BLAZAR 7mm monitoring program. These observations include a total of 105 epochs covering the period from 2009 to 2019. We found that the stacked image of the inner jet is limb-brightened with an apparent opening angle of 50 ° 0 ± 8 ° 0 and 42 ° 0 ± 6° 0 at the distances of 0.2 and 0.3 mas (0.9 and 1.4 pc) from the core, corresponding to an intrinsic jet opening angle of 5° 2 ± 1 ° 0 and 4° 3 ± 0° 7, respectively. In addition, our images show a clear jet position angle swing in \sr within the last ten years. We discuss the possible implications of jet limb brightening and the connection of the position angle with jet peak flux density and gamma-ray brightness.
A catalogue of 74 new open clusters found in Gaia Data-Release 2
Authors: He Zhi-Hong , Xu Ye , Hao Chao-Jie , Wu Zhen-Yu , Li Jing-Jing
Published: May 2021

Based on astrometric data from Gaia Data-Release 2 (DR2), we employ an unsupervised machine learning method to blindly search for open star clusters in the Milky Way within the Galactic latitude range of |b| < 20°. In addition to 2080 known clusters, 74 new open cluster candidates are found. In this work, we present the positions, apparent radii, parallaxes, proper motions and member stars of these candidates. Meanwhile, to obtain the physical parameters of each candidate cluster, stellar isochrones are fit to the photometric data. The results show that the apparent radii and the observed proper motion dispersions of these new candidates are consistent with those of open clusters previously identified in Gaia DR2.
BoxCox multi-output linear regression for 10.7 cm solar radio flux prediction
Authors: Cui Rui-Fei , Zhu Ya-Guang , Zhang Huan , Zhang Ri-Wei , Zhao Hong-Yu , Li Zheng-Lian
Published: May 2021

We consider the problem of predicting the mid-term daily 10.7cm solar radio flux (F10.7), a widely-used solar activity index. A novel approach is proposed for this task, in which BoxCox transformation with a proper parameter is first applied to make the data satisfy the property of homoscedasticity that is a basic assumption of regression models, and then a multi-output linear regression model is used to predict future F10.7 values. The experiment shows that the BoxCox transformation significantly improves the predictive performance and our new approach works substantially better than the prediction from the US Airforce and other alternative methods like Auto-regressiveModel, Multi-layer Perceptron, and Support Vector Regression.
Hierarchical event-based control of multi-robot systems in unstructured environments
Authors: Bychkov I , Ulyanov S , Nagul N , Davydov A , Kenzin M , Maksimkin N
Published: May 2021

An essential requirement for achieving a high level of performance, autonomy, and reliability of a multi-robot system performing joint long-term operations in an unstructured environment is an advanced control system. In general, the robot’s control system is designed to be hierarchical and consists of several subsystems. To unify the interaction of individual components and reduce the load on computing and communication devices, we use the event-based methodology at different levels of the control system. In the paper, we demonstrate how this methodology can be applied to solve four challenging problems in robotics: cooperative formation control, path planning, missions scheduling, and action planning.
Artificial Intelligence at Present and Tomorrow
Authors: Gorodetsky V , Yusupov R.
Published: May 2021

Artificial Intelligence, part of Information Technology, is currently the hottest spot in Information technology the main research subject of which is knowledge and the main research directions are methodologies, methods, and algorithms for knowledge acquisition, knowledge representations, and knowledge usage. The paper describes the core scientific content of these directions, outlines their state-of-the-arts, and analyzes briefly new trends and prospects for research and development in Artificial Intelligence for the forthcoming years.
In-flight inertial navigation system alignment under non-controlled delays in aiding data
Authors: Golovan A.A. , Zheleznov V.M. , Smolianov D.I. , Mishin A.Yu. , Fomin D.M. , Belov R.V.
Published: May 2021

In the presented paper we consider a well-known in-flight alignment problem for strapdown inertial navigation system (INS) via position and velocity data provided by the reference inertial navigation system. Main challenges of the mentioned problem are displacement of the reference navigation system relative to the navigation system being aligned, mutual misalignment of the relevant body frames, the presence of uncontrolled time delays in the positional and velocity aiding data. We propose in-flight alignment algorithm that was tested based on simulation. Typical vehicle’s trajectories were derived from relevant telemetry data. The results of numerical experiments are also presented.
Neural network approach to recognition of visible constellations by sky photo image
Authors: Galkin V.A. , Makarenko A.V.
Published: May 2021

The current paper demonstrates the effective capabilities of deep neural networks in solving the problem of identification of constellations from a photo of the sky in conditions of a priori uncertainty, incomplete observability and stochastic disturbances. The quality of solution 0,927 by metric F1 is obtained. In order to achieve the result, the original ResNet-like architecture of the convolution neural network was synthesized; statistical analysis of the dataset was carried out, the function of losses and strategy of neural network training were developed, and an accurate criterion of constellation observability in the image was formed. The observation of noise influence on the quality and stability of solutions was carried out.
On the application of neural network technologies for control problems in cognitive transportation systems
Authors: Lukomskaya O.Yu. , Seliverstov Y.A.
Published: May 2021

In the work, the functions of cognition are brought in line with the aspects of the functioning of cognitive transport systems and technologies. We consider the mathematical apparatus of cognitive technologies – neural network control systems, based on trained multi-layer neural networks of direct action in the class of adaptive control systems for dynamic objects. The possibility and variants of their inclusion in the control system of the transport system are clarified. On the basis of the considered approach, a country road recognition system based on a convolutional neural network has been developed, which will automatically segment rural roads using satellite images and build a road network diagram to analyze the spatial development of transport networks and to control unmanned vehicles. The development of a neural network based on U-net was carried out in Python 3x. The training set consists of 880 images prepared by hand mark up. The accuracy of the developed model when testing on prepared samples was 64%. According to the results of the study, conclusions were drawn and prospects for further functional development of the developed tools were determined.
Application of singular transformations method with regard to nonlinearities in the equations of dynamics and measurements
Authors: Tupysev V. A. , Loparev A. V. , Litvinenko Yu. A.
Published: May 2021

The possibility of state estimation for a dynamic system with nonlinearities in the equations of dynamics and measurements using the Singular Transformations Method is discussed. The features of the proposed approach application are considered. For a methodological example, the equations for the required estimates are specified and the estimation accuracy analysis is carried out.
On Control of Brushless Torque Motors with High Phase Inductance in Direct Drives of Gyro Devices
Authors: Grechushkin Yu. V. , Epifanov O. K.
Published: May 2021

The paper studies how the phase inductance of brushless DC torque motors affects their performance within high precision electric direct drives. Modified control laws for torque motors with high phase inductance are described, which optimize their performance by various criteria. The modified laws are based on continuous regulation of mutual attitude of current and voltage vectors in the motor windings. Parameters of torque motors are compared with the described control laws applied, and advantages of their use are covered.
Development of a combined navigation and measurement system for manned airborne geophysical measurements
Authors: Trigubovich G.M. , Shevchuk S.O. , Kosarev N.S. , Sverkunov A.S. , Nikitin V.N.
Published: May 2021

The article is devoted to the idea of combining navigation and measurement software to provide a higher level of efficiency and quality of aerial electromagnetic survey. Complex geophysical measurement systems of “Impulse-Aero” series are overviewed. Current survey technology with the above-mentioned systems includes human-based control of the measurements with a geophysicist on-board. The technology also includes the navigational support by the geophysicist or an additional navigation specialist. The concept of automatic combined complex for navigational and measurement monitoring is proposed in the article. The main goal of the system under analysis is to automatically estimate the quality of received data and to give necessary recommendations on the screen of the navigation unit. As the result of the survey, some tasks during the flight can be solved by pilots without any additional staff. This approach is supposed to increase flight safety, reduce costs and raise the efficiency of the survey in general.
Properties of solutions of dynamic control reconstruction problems
Authors: Krupennikov E. A.
Published: May 2021

This paper is devoted to inverse problems of the control theory, namely, the dynamic control reconstruction problem. It is the problem of online reconstruction of unknown controls (the input) using known inaccurate measurements of the realized trajectory (the output). Deterministic affine controlled systems are considered. A method for solving this problem is suggested. It relies on auxiliary variational problems on extremum of a regularized integral residual functional. The key feature of this method is using a functional which is convex in control variables and concave in state variables. Properties of the solutions obtained by this method are studied. It is shown that the obtained solutions have oscillating character and are bounded. Results of numerical simulations are provided.
Ensuring the accuracy of modal control in systems with multicomponent actions
Authors: Tavolzhanskij A.V.
Published: May 2021

The problem of ensuring the accuracy for constant and harmonic input actions in systems with modal control is considered. An analytical method of combined formation of both the control accuracy and the type of transient process is proposed. The modal control possibilities for harmonic signals are shown, for which the synthesis method is usually applied to the desired frequency response. It also introduces a requirement of quality in terms of speed. This problem is being solved by drawing up an inequality system. These inequalities are illustrated graphically. Using a numerical example, the effectiveness of the proposed method for solving the problem is shown.
Stability study of digital multi-connected automatic control system
Authors: Ilyasov B. G. , Saitova G.A. , Elizarova A.V.
Published: May 2021

A study of the stability of a multiply connected automatic control system containing digital links by the frequency method is proposed. The stability criterion is based on the system description of the dynamic properties of the system at the level of characteristics of subsystems and characteristics of communication.
Emergency broadcasting strategies for distributed robotic groups under limited communication
Authors: Kenzin Maksim , Bychkov Igor , Maksimkin Nikolai
Published: May 2021

Execution of large-scale search and survey operations by groups of autonomous mobile robots requires the ability to respond to unforeseen events of different nature in a quick and efficient manner. In order to achieve this requirement, the available information about recent changes should be spread among all active group members as soon as possible. Informing a non-stationary group of mobile robots distributed across different regions of the operational area is a nontrivial task for large groups with limited communication capabilities. The paper addresses the problem of agent-based information distribution throughout a network in a new original formulation. In essence, the problem is to define an effective order of transferring data between single robots in order to achieve the fastest way of sharing it among the whole group. A number of heuristic strategies are proposed for building initial solutions alongside with the local search scheme for their further optimization. The comparison between the suggested approaches is made regarding both the solution quality and the speed of algorithm operation. Some issues related to the test instances generation are also considered.
Vulnerabilities, Points of Failure and Adaptive Protection Methods in the Context of Group Control of Unmanned Vehicles
Authors: Iskhakov A.Yu. , Mamchenko M.V.
Published: May 2021

Continuous improvements in the hardware, software and algorithms of unmanned vehicles (UVs) are nearing their mass deployment in all physical environments, including within unmanned groups, and with traditional means of transport controlled by the operators (drivers). Notwithstanding the measures taken to improve security and resilience, UVs as complicated cyberphysical systems have a number of vulnerabilities and failure points. This paper comprises the review of known vulnerabilities and failure points (including those in group control scenarios), and the development of the proposals to improve the resilience and security of UVs, and addresses the identified issues.
Algorithms for coordination of autonomous underwater drones searching for a hidden object when no long-range communication is allowed
Authors: Fedyanin D. N.
Published: May 2021

The paper is devoted to comparison of the efficiency of information exchange by autonomous mobile agents when searching in a limited coverage area. The special feature of the problem is to consider the case of operation within the prohibition of usage of radio, light, and acoustic communication channels at a great distance, as well as without surfacing. The paper compares the following algorithms for the work of groups of autonomous robots, based on a preliminary division of area into sectors and survey of robots in their sectors using the “breadth-first search” method.
On how to model and investigate the interaction of mobile network nodes with a limited number of mobile access points
Authors: Blinova O.V.
Published: May 2021

This paper investigates a new way to position unmanned aerial vehicles, that act as routers, to allow subscribers to access a communication network. In my model, the subscribers move along known trajectories in sparsely populated areas. To solve this problem, I developed a software to simulate how the subscribers move. I also developed an optimization algorithm that maximizes my custom objective function, where the function sums the probabilities for the subscribers to access the network.
Shapley value of n-person prisoner’s dilemma
Authors: Grinikh A.L. , Petrosyan L.A.
Published: May 2021

n-Person prisoner’s dilemma is a Markovian sequence of static games that are realized randomly depending on players’ previous choices. The dynamic Shapley value is constructed in this case. The work is a continuation of the paper published earlier by Grinikh A. L. [1]. In this paper, we consider the new approach of dynamics of game which depends on the strategies of all players.
Analysis of the global stability boundaries in type 2 PLLs
Authors: Kuznetsov N.V. , Lobachev M.Y. , Yuldashev M.V. , Yuldashev R.V.
Published: May 2021

This paper discusses one of the approaches to analysis of the global stability boundaries of type 2 PLLs.
The study of periodic oscillations and global stability in the Tal’ model via the Tsypkin method and the LPRS method
Authors: Kuznetsov N.V. , Akimova E.D. , Mokaev R.N. , Morozova M.N.
Published: May 2021

Analysis of the phase space of discontinuous systems via classical methods of the theory of oscillations can be quite a difficult task. Moreover, in some cases this analysis is impossible to perform. Due to the emergence of frequency methods for analysis of discontinuous systems and the development of various analytical-numerical methods, it has become possible to give a more accurate description of the phase space of systems with discontinuous right-hand sides. The present report tries to adopt to the Watt’s governor model that takes account of the self-regulation of the object and the derivative action. We compare the results with those obtained by rigorous analytical method.
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

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

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

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

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

. 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Short-term Traffic Flow Forecast Based on DE-RBF Fussion Model
Authors: Hao Shurong , Zhang Mingming , Hou Anping
Published: May 2021

The road traffic system is a time-varying, complex nonlinear system. Real-time and accurate road short-term traffic flow prediction is the key to realizing the traffic flow guidance system. In order to improve the prediction accuracy of short-term traffic flow, this paper proposes an algorithm based on the fusion model of differential evolution algorithm (DE) and radial basis function (RBF). This method takes the fitness function as the measurement standard, and uses the DE algorithm to optimize the RBF parameters to obtain the optimal short-term traffic flow prediction value. Through MATLAB simulation experiments, a relatively accurate prediction of the short-term traffic flow of the DE-RBF fusion model is realized. The mean square error (MSE) and the average absolute error percentage of actual and predicted values (MAPE) analysis index are introduced as the evaluation index of the prediction model. After comparing with the two prediction network models of radial basis function (RBF) and wavelet function (WNN), the results show that the DE-RBF fusion model proposed in this paper is effective and feasible for short-term traffic flow prediction.
Research on Equipment Maintenance Support Technology Based on Multi-agent
Authors: Chen Jianping , Li Suhang , Yang Yijun , Ni Ming , Wang Xunbao
Published: May 2021

The maintenance of weapons and equipment currently is mainly regular maintenance. Due to the different running time, working conditions and personnel operation level of each equipment, the uniform maintenance requirements are not scientific. At the same time, the time, place and quantity of equipment failures are lack of effective prediction methods, therefore, the current working state of equipment maintenance is usually called “fire fighting” maintenance. With the increasing number of weapons and equipment, and the increasing complexity of technology, the existing maintenance and support methods have been unable to meet the needs of continuous intact of equipment and rapid troubleshooting. Multi-agent-based equipment maintenance support technology comprehensively considers factors such as mission requirements, equipment distribution, and equipment status, and treat each maintenance resource as an agent. Then use artificial neural network (ANN), reinforcement learning and other intelligent algorithms to realize the overall planning of maintenance and support resources. It can reduce the equipment failure rate and maintenance costs and solve the problem of unreasonable resource allocation.
Research on Filling of Large Coastal LNG Fuel Powered Ships
Authors: Geng Jiezhe , Chao Han
Published: May 2021

With the implementation of MARPOL convention and related environmental protection policies, LNG as fuel power has become an important technical means to promote the green development of shipping. The construction and operation of large ocean-going ships in the world put forward an urgent demand for LNG filling. This paper points out that there is an urgent need to issue the design and technical standards of shore-based filling stations, the approval and operation of filling stations, the regulations on ship navigation management, and the related research on safety and emergency, etc., which puts forward the work direction for the future coastal LNG filling work.