bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methodology of thermal loading estimation of the brake mechanism of a truck
Authors: Dygalo V G , Zhukov I S 
Published: November 2021

Abstract
The paper presents the results, conclusions of the assessment of friction pairs in the aspect of the phenomenon of fading. As you know, most of the kinetic energy of a car with ABS is extinguished due to the work of friction in the brake mechanism. Overheating the brake mechanism, namely its friction pairs, leads to the appearance of the phenomenon of critical fading, accompanied by a sharp decrease in the braking torque. When the metal friction elements of braking devices operate in a repeated-short-term mode, it is advisable to assess their operating parameters at a steady-state thermal regime, i.e. under the most severe temperature conditions. The proposed technique makes it possible to obtain a high convergence of the calculated values with the experimental data. Evaluation of thermally loaded using this method can be carried out at any stage of the design and does not require large computing power. Visualization of the results allows you to identify areas of increased heating to assess the need to change the design of the brake mechanism.
Parameters control for the damping element hydraulic buffer of the vehicle suspension
Authors: Cherepanov L A , Ivliev V A , Solomatin N S , Gordeev D A 
Published: November 2021

Abstract
The research investigates the impact coming from damping element hydraulic buffer of suspension on the vehicle smoothness. A change in the structural elements of hydraulic buffer for absorber rebound is considered in order to avoid hydraulic shock at the initial moment of its operation.
Stability of radio loops covering navigation systems and communication systems
Authors: Boran-Keshishyan AL , Alekseev AA , Popov VV 
Published: November 2021

Abstract
The development of the concept of E-navigation in modern shipping makes it necessary to create very reliable lines for the transmission of information packets and the interchange of data via radio networks to a huge number of consumers, practically all over the world. With such a scale, radio communication must be extremely reliable and stable, which is provided by the planetary system of satellite communication channels. The study proposes a method of signal loops of satellite communication systems for diagnosing the quality of the radio path, which will allow quickly localizing the external causes of the deterioration of the linear stability of communication in the absence of deep diagnostics during the daily operation of radio transmitting equipment. The organization of an external loop will make it possible to make a more accurate spatial adjustment of the antenna system to the zone of stable traffic with an increase in the steepness of the guidance system characteristics according to its own signal returned from the loop from the satellite. The external loop allows for more precise tuning of the antenna system of the stations, relative to the “steepness” of your own signal and to localize the external causes of signal deterioration by applying the method of signal loops.
Simulation of a vessel sensor network of ZigBee standard
Authors: Buzenkov I I , Redkin Iu V , Tyufanova A A , Khaleeva E P 
Published: November 2021

Abstract
The subject of the paper is a vessel sensor network designed to collect data from wireless sensors for various purposes. The peculiarity of this network application is the presence of a large number of premises, wireless communication between which is complicated. One of the possible approaches to solving this problem is to use coordinators connected by a switch into a local network, and a large number of routers that provide data relaying along the chain. Studies of the proposed vessel wireless network in the OMNeT ++ simulation modeling environment using Castalia framework are carried out in the paper. The process of modeling both the network itself and its individual components, and various modes of their operation is shown. The interaction of network nodes through intermediate routers is considered. Estimation of losses during packet delivery along a chain of routers, the time spent on processing packets in routers and delays in packet delivery to the network coordinator from the sending node is based on the compiled model. It is concluded that with the increasing complexity of the network structure (growth in the number of routers), there is a proportional rise of the packets delivery delay over the wireless network to the vessel local network. However, all transmitted packets are delivered to the addressee.
Simulation of ship handling in reverse
Authors: Lebedev O Y , Fil A V , Bondareva E V 
Published: November 2021

Abstract
One of the main problems of seamanship is steering the boat in reverse modes. This skill can be achieved using simulators or simulators that work based on a mathematical model. This model should adequately describe all ship maneuvers, including simulation in reverse modes. The article deals with the mathematical modeling of maneuvering from a ship in reverse. The authors performed model calculations, basic test maneuvers, such as “Circulation”, “Exit Circulation” and “Zigzag”. The analysis of trajectories testifies to the qualitative correspondence of the calculation results according to the mathematical model to the practice of navigation, and this model can be used for automatic control of the vessel, for assessing the movement of the vessel in reverse, and teaching navigation skills on simulators and simulators. The vessel when moving in reverse, at low speeds obeys the steering organ, but at speeds greater than the average stroke on the backward shift, it leaves the circulation very slowly and sometimes becomes uncontrollable. The withdrawal of a reverse circulation vessel is extremely difficult and requires additional skills and abilities from the navigator.
Analysis of methods to optimize control systems for power supply of marine vessels using fuzzy logic and fractal analysis
Authors: Khekert E V , Epikhin A I 
Published: November 2021

Abstract
The paper considers the features of promising methods to optimize the control systems for power supply of marine vessels using fuzzy logic and fractal analysis. In order to design an effective control contour for the power supply system (PSS), it is proposed to use synergistic mechantronic systems based on intelligent technologies with fundamentally new properties that allow for a more effective solution of control problems using fractal analysis of time series to increase the adequacy of forecasting through in-depth analysis of the causes of emergency situations. The synergistic effect SE of the control within such systems is a set of effects obtained as a result of their combination and synchronization in time and space. Practical aspects of fractal analysis are considered on the example of a two-cycle engine with supercharging and air cooling. In the study of fractal processes, a method is proposed for identifying and eliminating the short-term dependence of the value of the time series of the process S(t), which is characteristic of autoregressive processes, using regression with respect to S(t-1) and conducting the R/S analysis of the remainder X(t). Short-term dependence is eliminated provided that long-term dependence is maintained. Autoregressive AR(1) differences are analyzed at a certain time interval for various engine operating modes. The results of the R/S analysis of the engine operation and the determination of the Hurst exponent are used to increase the efficiency of forecasting and control of the PSS in the period of the detected chaotic behavior of the time series.
Error correction algorithms in on-board intelligent transport data transmission systems
Authors: Goloskokov K , Korotkov V , Nyrkov A , Knysh T 
Published: November 2021

Abstract
The paper describes the problems of assessing the quality of intelligent transport systems related to organizational and technical systems based on the system analysis of information technologies. It provides the theoretical basis for describing the quality assessment process of intelligent transport systems. The paper also justifies the method of quality assessment of complex systems, which include intelligent transport systems. It is shown that the modern system of intelligent systems should not only be effective, but also not violate the required operation mode. The characteristic evaluating the effect of the target functioning has the properties of measurability, completeness and reliability. The intelligent transport systems may include systems that in the process of control ensure the achievement of set targets with the necessary quality of target functioning in a counteracting environment. In order for the system to function correctly, it is necessary to agree on a set of targets and a set of conditions, i.e. to implement an integrated approach to the functioning of the system as a whole. With an integrated approach it is necessary to agree on all the targets set for the system, as well as all the conditions under which it will operate.
Research into the physical and chemical properties of fire-retardant materials of structural elements of trucks running on gas engine fuel with the aim of increasing their fire-retardant efficiency
Authors: Konoplev V , Zhukov A , Melnikov Z , Sarbaev V 
Published: November 2021

Abstract
The fire load is an integral part of the fire hazard definition. Reducing this load is one of directions to fight fires in transport. To study the physicochemical processes and thermal effects occurring as a result of thermal decomposition of wood fire-proofed by retardants like BAN, OK-GF, OK-DS (OK-GFM), SPAD-0 and their chemical compositions, we used the methods of differential thermal analysis, thermogravimetry, and derivative thermogravimetry. In addition, to study the intensity of physicochemical combustion processes, tests to control changes in woodwork masses and temperature at the top of pipe depending on the duration of combustion of the samples and the consumption of fire retardants were conducted. Fire retardant compositions like OK-GF, OK-DS, Pirilax biopyrene at the consumption of 0.1 kg / m2 ensure flame and combustion resistance of the wood. The analysis of the research results confirmed the possibility of assigning to wood structures of a lorry’s body of the group 1 of flame and combustion resistance. Using the above fire retardants and their compositions in the treatment of lodgment elements and runners significantly affects the possibility and duration of the combustion process of a lorry. This was tested by means of an artificial fire source method (without chemical treatment, the burning time does not exceed 50 minutes). This significantly improves post-collision safety of vehicles with an increased fire load in terms of fire resistance because of using the natural gas as a motor fuel.
Variation of the entropy analysis method in information flows of IBS in the concept of safe navigation development
Authors: Vasiutina AA , Popov VV , Kondratyev AI 
Published: November 2021

Abstract
The creation of a configuration by a bridge integrated system in the form of the control machine variation - artificial intelligence, becomes relevant in the concept of E-navigation development with the vector of the vessel’s directional control on the course, both in a small crew and unmanned way. It is possible to consider a large number of mathematical ideas about the basis for creating an intelligent control machine: an artificial neuron and fuzzy sets, Petri nets and Markov chains, Kolmogorov’s differential equations, which are difficult to configure and cumbersome to compute. Multiagent systems seem to be feasible. Integrated bridge systems with embedded supplementary reality assist management personnel in solving navigation issues. Saturation of the navigation control information complex of the bridge system with an increasing number of hardware and instrument units leads to a decrease in information entropy but does not bring to the full automatic control. In ergatic systems, object control is still reduced to declining the uncertainty to a minimum value by means of the operator’s control actions. The methodology for analyzing the entropy capacity of the system and elements of the augmented virtual assessment of the situation in the configuration of multifunctional machine units can be applied in the efficiency criteria development for vessel’s control systems with small crew or unmanned navigation in the concept of E-navigation.
Reconstruction of various navigational scenarios of the «Ever Given» ship, including grounding in the Suez Canal using the bridge simulator with up-to-date electronic navigation charts
Authors: Popov AN , Zelenkov GA , Papulov D S 
Published: November 2021

Abstract
The Suez Canal is the largest maritime shipping traffic thoroughfare in the world. The global cargo turnover accounts for 10-12%. Theaccident occurred on March 23, 2021 with the container ship “Ever Given”, blocking the Suez Canal. It fully paralyzed shipping traffic in the region and caused enormous damage to the economy. Reconstruction of various navigational scenarios of the containership, including grounding based on the bridge simulator, allowed examination of navigation and developing recommendations to prevent similar accidents in the future. Within the limits of the research, the authors used electronic navigation charts S-57 with up-to-date information on the accident time, a similar model of containership and hydro-meteorologic conditions in the bridge simulator’s session.An assessment of the risk of grounding a container ship has been carried out using the method of Bayesian trust networks.
Experimental studies of the thermal management system for an electric vehicle in the X-In-The-Loop environment
Authors: Kurmaev R H , Umnitsyn A A 
Published: November 2021

Abstract
This article presents the experience of conducting experimental studies of the thermal management system (TMS) intended for the traction electric drive of an electric vehicle, which has each of its wheels driven by an in-wheel motor, in the X-In-the-Loop environment. The paper describes the experimental bench of the thermal management system, which makes it possible to simulate the operating conditions of the high-voltage components of the traction drive of an electric vehicle from the point of view of thermal-hydraulic characteristics. A brief description of the mathematical model used in real-time calculations during both local and collaborative experimental studies is given. The process of collaborative testing of the TMS of high-voltage components of the traction drive of an electric vehicle, in the X-In-the-Loop environment, as well as the results, is demonstrated. A similar approach used in the development of TMS allows increasing the efficiency of the system developed, by optimizing the control algorithm for the executive devices of the TMS, reducing the weight, as well as the overall dimensions of the components, and conducting a detailed analysis of each component. It is also worth noting that the use of collaborative experimental research in the X-In-the-Loop environment will reduce the cost of the experiment, as well as, ultimately, the cost of the product, since with such an approach there is no need for a real test object for each company engaged in the development of one or another electric.
Could the accident of “Ever Given” have been avoided in the Suez Canal?
Authors: Lebedev A O , Lebedeva M P , Butsanets A A 
Published: November 2021

Abstract
The paper analyzes the causes of the accident that took place on March 23, 2021 at 101 kilometers of the Suez Canal with the supercontainer ship “Ever Given”. The vessel lost control at the narrowest point of the transoceanic corridor. According to various sources, the possible cause of the accident was weather conditions. At the moment of passing through the Suez Canal, the vessel got into the area of a sandstorm with the increased wind speed and poor visibility. Sandstorms are frequent in the area. To avoid similar accidents, a quantitative analysis was performed to determine its causes. The analysis was undertaken based on solving the system of equations for mathematical model of a container ship with similar characteristics. The calculation was carried out according to well-proven methods with the involvement of databases for determining the hydrodynamic and aerodynamic characteristics. It has been established that a vessel with wind exposed area typical for vessels of the “Ever Given” type cannot be steered at wind speeds exceeding 12 m/s. In addition, a significant effect of the density of the air-dust mixture on the controllability of the vessel has been found. In the presence of an admixture of sand in the air, the vessel can lose controllability even at 9 m/s.
Modeling and controlling a quarter-vehicle active suspension model
Authors: Quan Vu Hai , Huy Truong Nguyen , Trong Duc Nguyen 
Published: November 2021

Abstract
This paper presents an application of the LQR active suspension control algorithm for a vertical planar oscillation model developed for ¼ of a vehicle. The wheel smoothness and dynamics with the road surface are two parameters to provide control signals. A simulation model is developed here based on MATLAB software to compare and evaluate the LQR active suspension model with the passive suspension. The results obtained here shows an improvement for a number of parameters when utilizing the active suspension model including fluctuating amplitude; oscillation damping time; the displacement acceleration of the active suspension body.
The Realization and Optimization Technology of Recognition Algorithm Based on Tensorflow Deep Learning Mechanism
Authors: Xu Wencai 
Published: November 2021

Abstract
With the rapid development of today’s technological society, recognition algorithms have received more and more attention. In addition, in recent years, deep learning algorithms have developed rapidly at the theoretical level, and related new technologies have also been applied to various industries. TensorFlow is a deep learning framework that performs well in all aspects. The purpose of this article is to study the realization of recognition algorithms based on TensorFlow’s deep learning mechanism and their optimization techniques. The target detection algorithm used in the system in this paper combines deep learning technology to replace the traditional method based on convolutional filtering. The paper is based on the TensorFlow deep learning framework. TensorFlow is an open source software library for machine intelligence. The learning software library of the network learning framework. This article uses a semi-automatic labeling method combined with an incremental learning algorithm to label the data set. After labeling the data, the parameters are set, the model is trained, and the model is finally trained and applied to the detection system. Studies have shown that: in the recognition algorithm, only the single sub-analysis stream is considered, and the short video sequence analysis stream can get the most excellent accuracy. Compared with the second best long video sequence analysis stream, it can also increase by about 3%.
Computer Aided Drug Design Based on Artificial Intelligence Algorithm
Authors: Yu Wenye , Chen Zhenyu 
Published: November 2021

Abstract
The problems such as high cost and long development time in drug design and development have an important impact on its development, which makes many scholars devote themselves to looking for the auxiliary model of drug design. With the rapid development of computer technology, computer-aided drug molecular research model is more and more mature. This paper aims to study the computer-aided drug system based on artificial intelligence algorithm, so that researchers can speed up the process and reduce the cost when searching for specific protein molecules. In this paper, the principle of complementary matching in the docking process of target molecules and ligands, which is commonly used in drug design, is described, and the functional expression mode and various docking methods of molecular docking are studied. Finally, the research hotspots of molecular docking technology are analyzed, including scoring function, search strategy and flexible protein docking. Ant colony algorithm is introduced into molecular docking platform as a variant of conformation search algorithm, and a new plants algorithm is developed. Finally, the implementation of plants algorithm is analyzed in detail, and the optimized plants system and gold system based on genetic algorithm are simulated, and the relevant experimental data are counted. The simulation results show that the new drug design method based on ant colony algorithm has advantages in docking success rate, docking speed and docking accuracy. The success rate of plants is higher than that of gold, and the docking time is only 1/6 of that of gold.
Application of Data Mining Technology in Software Engineering
Authors: Hong Xiaobin 
Published: November 2021

Abstract
With the rapid development of informatization, computer database software systems have entered various fields of society, which has brought about the explosive growth of industry data. Faced with massive amounts of data, computers with limited storage capacity have to abandon some outdated data, and the application of various data mining technologies related to it has gradually matured. The purpose of this article is to discuss the application research of data mining technology in software engineering. This article analyzes the correlation analysis of a large number of bug repair source code update data and bug defect reports in the version control system SVN and the defect tracking system Bugzilla in the software engineering project development process, and tries to classify the bug report by data mining technology: defect changes and potential defects change. Starting from large-scale software engineering projects, apply data mining technology to the huge software engineeri ng knowledge base. Especially the software development and maintenance are explained, as well as the more challenging problems in the future. This paper uses data mining technology to study the dependency of the source code files of each module of the software system, and helps software developers quickly understand the software architecture by understanding the interrelationships between the modules, and provides suggestions for modification paths. Experimental research shows that this paper compares with F-measure and concludes that FL-M-GSpan algorithm is better than TS-M-GSpan algorithm. At the same time, it is found that the FL-M-GSpan algorithm always has a better accuracy rate close to 95%, while the TS-M-GSpan algorithm always has a better recall rate.
Based on the Software Complexity Measurement of Complex Networks under Big Data Technology
Authors: Hong Xiaobin 
Published: November 2021

Abstract
With the development of the times, computer technology is booming, so the network is becoming more and more complex, software design is becoming more and more complex, because of the protection against a variety of internal or external risks. The internal risk is that the traffic carried by the system is too large to cause the system to crash or the system to crash caused by the code operation error, and the external threat is that hackers use computer technology to break into the system according to security vulnerabilities, so the purpose of this paper is based on big data technology, the software complexity of complex networks is measured and studied. With the consent of the school, we used the school’s internal network data, and after consulting the literature on the complex construction and analysis of complex networks and software, modeled and analyzed it using the improved particle group algorithm. The experimental results show that there is a certain correlation between complex network and software complexity. Because complex networks determine that software requires complex construction to withstand potential risks to keep the software running properly.