bluuebunny/crossref_metadata_2025 huggingface dataset:
Gravitational waves from spectator Gauge-flation
Authors: Iarygina Oksana , Sfakianakis Evangelos I.
Published: November 2021

We investigate the viability of inflation with a spectator sector comprised of non-Abelian gauge fields coupled through a higher order operator. We dub this model “spectator Gauge-flation”.
We study the predictions for the amplitude and tensor tilt of chiral gravitational waves and
conclude that
a slightly red-tilted tensor power spectrum is preferred with

. As with related models, the
enhancement of chiral gravitational waves with respect to the single-field vacuum gravitational wave background
is controlled by the parameter γ=g2 Q2/H2, where g is the gauge coupling, H is the Hubble scale and Q is the VEV of the SU(2) sector.
The requirement that the SU(2) is a spectator sector leads to a maximum allowed value for γ, thereby constraining the possible amplification.
In order to provide concrete predictions, we use an α-attractor T-model potential for the inflaton sector.
Potential observation of chiral gravitational waves with significantly tilted tensor spectra would then indicate the presence of additional couplings of the gauge fields to axions, like in the spectator axion-SU(2) model, or additional gauge field operators.
Synthesis of devices for efficient energy conversion
Authors: Myatezh S V , Shchurov N I , Malozyomov B V , Shtang A A , Sh Atabaeva L
Published: November 2021

The synthesis of devices for efficient energy conversion is shown. It is shown that simple aggregation as the most obvious way to obtain three-phase converters based on single-phase circuit solutions can lead to disadvantages during their operation. The article demonstrates some techniques of the method of structural synthesis, which made it possible to improve the circuit design of a three-phase rectifier with zone-phase regulation and improve the shape of the rectified current curve.
Heat and mass transfer of multicomponent gas mixtures in cryogenic tank of automotive equipment
Authors: Didmanidze O N , Afanasyev A S , Khakimov R T
Published: November 2021

The use of liquefied gas as a motor fuel for automotive equipment has both certain advantages and significant problems. The paper deals with the solution of one of the main problems, reducing the speed of the phase transition of liquefied methane in a cryogenic tank in the mode of drainage-free storage. In solving the above problem, the process of convective heat and mass transfer caused by the chemical and physical state of natural gas and the external heat flow was investigated. The two-phase state of the gas is unstable in the event of an increase in heat input from the environment, which causes an imbalance of pressure and temperature in the volumes of the liquid and gaseous parts of the gas and creates the risk of an emergency. To prevent the formation of critical gas pressure in a cryogenic tank, a method is proposed for calculating the phase transition of liquefied methane to determine the volume fraction of vaporized gas using equilibrium constants, which will allow developing an algorithm for the technological process of gas recirculation in a specially designed tank design. This will also allow you to choose the best option for a thermal insulation layer that can reduce the rate of penetration of heat from the environment and increase the period of drainage-free storage of liquefied natural gas by 1.5-2 times.
Stability and increased radio communication coverage of sea area infrastructure measurement antennas
Authors: Boran-Keshishian A L , Alekseev A A , Popov V V , Kondratyev A I
Published: November 2021

This research presents a modified method of signal amplification over layered surfaces of absolutely thin ice over marine waters on condition of stable operation of communication networks, necessary for deployment of Big Information Management Communication Systems and the concept of E-Navigation development. The method was first tested when deploying a GMSSB(b) network in the Azov-Black Sea region. Peculiarity of radio wave behavior during propagation over thin layered ice is that mutual phase ratios make a part of field energy “sticking” to the surface and propagating along it, thus creating a surface wave effect. At that, attenuation function is above one, and the field may increase with distance, even above design limits, breaking the proportionality law of reduction with distance. There are several details requiring clarification and adjustments to local conditions.In the MF and LF radio bands, solid surface and sea water are good conductors of electromagnetic flow. Thus, antenna fields for radio communications are located immediately above the surface for reception and transmission of vertical polarization signals, while field calculations are conducted with an elementary dipole.
Magnetization of an elastic ferromagnet
Authors: Gallyamov I. I. , Yusupova L. F.
Published: November 2021

At the macroscopic level, ferromagnetism is a quantum mechanical phenomenon. To describe magnetic materials, it is necessary to create a heuristic model that in terms of continuum mechanics describes the interaction between the lattice continuum, which is a carrier of deformations, and the magnetization field, which is associated with the spin continuum through the gyromagnetic effect. According to the laws of quantum mechanics, each individual particle is associated with a magnetic moment and an internal angular momentum – spin. Electrons mainly contribute to the magnetic moment of the atom. Therefore, the continuum is continuously associated with the discrete distribution of individual spins in a real ferromagnetic body known as the electron spin continuum. In addition, it is necessary to formulate field equations that, together with Maxwell’s equations, describe the electron spin continuum. After that, it is necessary to consider the interaction between the lattice continuum and the electron spin continuum. Elastic ferromagnets should be described with due regard to the spin density and couple stresses. The spin system is a carrier of the magnetic properties, and the mechanical properties are associated with the lattice. Thus, spin–lattice interactions indicate the relationship between magnetic and mechanical properties.
Development of calculation method to study influence of end pieces and asphalt roadway impedance on total sound pressure measured at exhaust pipe mouth
Authors: Rakhmatov R I , Krutolapov V E , Nadareishvili G G , Yudin S I
Published: November 2021

The article contains a developed finite element model of the rear part of the vehicle with the mufflers made adjoining the sphere. Experimental research has been carried out in accordance with the rules of the ECE UN R51 amendment 03. Calculation procedure was made to study the influence of the reflecting surfaces on the total sound pressure by the example of the exhaust pipe mouth. The finite element model of the vehicle rear part has been developed. The results of calculations and experimental research of the sound pressures of the exhaust pipe mouth are given. The developed calculation procedure has been proved by the experiments.
Rapid identification of the technical condition of a marine electric power system
Authors: Saushev A , Shirokov N , Butsanets A
Published: November 2021

The article is devoted to the development of approaches to the rapid identification of the technical condition of marine electric power systems. It is shown that the means of technical diagnostics used on modern ships are used only for maintenance and repair of power equipment and are not adapted to provide preventive control in abnormal operating modes. The definition of rapid identification of a technical state as a process of technical diagnostics of a marine electric power system for the purposes of preventive and emergency control of its technical condition is given. The statement is substantiated that the means of technical diagnostics should not only identify the inoperative state of the system elements, but also predict the mode of its operation after disconnecting the inoperative generator set, provide the information necessary to ensure a trouble-free transition of the electric power system to a partially operable state. It is shown that, in contrast to the existing approaches to diagnosing the technical state of the ship’s electric power system, it is necessary to take into account the rate of change of the controlled parameter, as well as to determine the probable time of its reaching the maximum permissible value. The necessity of identifying an inoperative element of the system and the implementation of control actions to exclude an emergency until the moment of overloading of the operable generating sets, their shutdown by protection and power outage is substantiated. This information in each specific case will allow the decision-making system of the marine electric power system to formulate recommendations for the maintenance personnel and the preventive protection system on the necessary impacts on the control object in order to avoid an emergency. The main reasons for overloading the marine electric power system have been formulated, algorithms have been developed for the practical solution of the problem of rapid identification of the technical state of the system for cases associated with overloading of serviceable electrical machines due to disconnection of inoperative generator sets.
Development of the method of determining the location of a short circuit in transmission lines
Authors: Suslov K , Solonina N , Solonina Z , Akhmetshin A
Published: November 2021

One of the serious problems of the reliable functioning of energy systems is the disruption of the performance of overhead and cable transmission power lines caused by various reasons. Most of the power outages occur in distribution networks. Particularly dangerous short-circuits in the supply and distribution network, due to unpredictable natural disasters. To ensure uninterrupted and reliable power supply to consumers, it is necessary to identify and eliminate the malfunction in a short time to reduce damage. Finding and troubleshooting a line is an important task. The authors proposed a method for quickly determining the location of a short circuit in power lines. The proposed method allows to reduce search time and increase the accuracy of determining the fault location.
Method for measuring the position of the normal reaction on the vehicle wheel
Authors: Balakina E V , Golubeva T A , Sergienko I V , Sarbaev D S
Published: November 2021

The paper deals with the study of the reaction positions of the support surface on the vehicle wheels. The problems is that the longitudinal drifts of the normal reaction are not fully described. There is no initial data on the rolling radii in the presence of a moment on the wheel. The existing problem does not allow considering components of the longitudinal drifts of normal reactions. The authors noted that the accuracy of predicting the stability and controllability of the vehicle deteriorates. The way out of this is to search other ways to determine the values of these drifts. In conclusion, the authors admitted dividing the general drift of the normal reaction into three components. The paper proposes a measurement method to determine the existence and numerical value of the third component. This method includes indirectly measuring the normal reaction drift that was implemented on an experimental setup.
A simulation model of a traction network taking into account the variable resistance of the contact line and a given power profile of the electric vehicle in MatLAB Simulink
Authors: Spiridonov E A , Mayboroda M A
Published: November 2021

The article describes an approach to the development of a simulation model of an electric transport traction network, taking into account the change in the resistance of the contact wire when the vehicle is moving. The advantage of the model is that it is executed using the building blocks of Simulink, visually reflects the topology of the traction network, and can be used for modeling both trolleybus and rail transport networks. As the initial data for the model, both standardized drive cycles and experimentally obtained modes of vehicle motion can be used.
Perspective for the use of industrial waste in lubricating compositions to reduce wear in friction pairs
Authors: Yu Konyukhov V , Permyakova D N , Oparina T A
Published: November 2021

The article presents an analysis of the mechanisms of lubricating action used to reduce the wear of rails and wheels. A review of lubricant compositions that increase the service life of the wheel-rail pair showed that graphite is the main filler used to create rail lubricants. Since the production of synthetic graphite requires high energy costs, this material is relatively expensive. Replacing graphite with cheaper analogs will help reduce the cost of operating rails without losing lubricating properties in friction pairs. Today, there are many lubricant compositions. Many of them require experimental research since they are based only on theoretical knowledge in the field of tribology. In addition, the adhesion properties of a wheel to a rail depend not only on the action of the lubricant but also on weather and climatic conditions. When choosing a rational lubricant, it is worth focusing on a set of factors, and not only on the properties of an individual filler. The data obtained in theoretical analysis cannot always be verified experimentally. The reasons may be economic inexpediency, the complexity of experimental research, or lack of time. The analysis carried out in the course of this work showed that the study of the effect of lubricant components could be optimized using mathematical and digital modeling. The application of these methods will help to select a rational area for research, simulate the behavior of lubricants containing production wastes, and make the mathematical forecast of the operation of friction pairs more accurate.
The role of hydrogen in the kinetic mechanism of formation of a carbon fraction of dispersed particles in the combustion of hydrocarbon fuels
Authors: Konoplev V , Fomin V , Melnikov Z , Korzin A , Ramsey Hassan Youssef Abu-Nijim
Published: November 2021

The issues of the scientific search for ways to limit emissions of dispersed particles are of particular importance within the context of socially important problem of environmental protection in the field of heat power during the operation of power plants for various purposes. The bulk of the dispersed particles are particles of the carbon fraction. These particles formed during the combustion of hydrocarbon fuel are among the most harmful substances. The high potential hazard of the particles of the carbon fraction is due to the fact that they contain a number of highly toxic mutagens and carcinogens. Moreover, the ultra-small particle sizes allow them to actively penetrate the human respiratory organs. An alternative version of the method for reducing carbon particles emission based on the use of an additive of a small fraction of free hydrogen to the working fluid of a power plant is considered. A number of scientific provisions on the role of hydrogen as a chemical reagent in the acts of formation and burning of carbon particles are substantiated, the validity of which is confirmed by the results of experimental testing.
Handling improvement of the M1 class vehicles by the way of hydraulic power steering adaptive characteristic optimization
Authors: Potashov I S , Ya Grabarnik S
Published: November 2021

In the paper, a work on handling improvement of the M1 class vehicle by means of optimization of the volume flow-pressure characteristic of the power steering pump with adaptive characteristic is described. A work on the simulation of the liquid flow through the electromagnetic valve of the power steering pump in initial and modified state is described. Results of bench testing of the optimized pump prototypes and subjective and objective road tests of the M1 vehicle with optimized prototype and initial one installed are presented.
Prototype of a remotely controlled model of a tugboat with an azimuth rudder and a hazard identification function
Authors: Stukonog S N
Published: November 2021

The author’s approach, based on the technology of control actions, is proposed for the interface display of the algorithm for the operation of an automatic tugboat with an azimuth rudder and a hazard assessment function. To define the object as presumably dangerous, the article used the formulas of the direct and inverse navigation problems. To compare the coordinates of the vessel and the perceived “hazard”, one first needs to enter data, process the information, and display information that is understandable for the decision-maker. To eliminate the misunderstanding of this situation, the operation of the danger prevention algorithm was demonstrated using the visual basic programming language as an example. When constructing an algorithm for the safe movement of the vessel and the existing danger, each object, even a stand-alone one, has many coordinate points. Knowing the number of points of coordinates of the vessel and “danger”, they were taken as n and m, respectively. The algorithm searches for the optimal point-object. The scheme of interaction of the components of the automatic tug azimuth model (ABA) is proposed. It is based on a Raspberry Pi single-board computer with an Arduino Mega board connected to it. A program has been written to control the ABA model using omnidirectional wheels to simulate maneuvering on water.
Structuring tasks of control over driverless vehicles within intelligent transport systems
Authors: Buznikov S E , Evgrafov V V , Saykin A M
Published: November 2021

The relevance of the research topic is defined by the global level of significance of the problem of creation and safe operation of driverless transport on public roads. The research objective was to develop a mathematical model of the problem that allows forming a scientifically grounded strategy for driverless transport progress. The Zwicky Morphological Box method was used as a research method, which allowed building a structured set of intelligent transport system variants. Variables corresponding to the hard-surfaced road types, the level of informational support in the form of digital road models and the level of control tasks with increasing complexity were used as structural variables. A complex of tasks required to control traffic or driving in closed territories, on highways, suburban motorways passing through human settlements, urban streets, and yards has been defined. The control task complexes of each consecutive level include the task complexes of all the previous levels, and the digital road models of a higher level contain the digital models of all the previous levels. The analysis of the obtained results allowed building a trajectory of progressive development of the driverless vehicle focus area within the field of control task levels, road types, and their digital models.
Design principles for onboard engineering diagnostics systems of unmanned maritime vessels
Authors: Zhukov V , Butsanets A , Sherban S
Published: November 2021

Modern information technology makes it easier to control and adequately assess the performance of marine equipment and, specifically, the elements of ship power plants, since they deliver efficient technical diagnostic services. The paper proposes the structure and principles of constructing a monitoring and diagnostic system to keep track of elements of ship power plants, enabling to solve current problems facing technical diagnostic systems.
Selection of optimal forecasting models in the navigation safety decision support system
Authors: Astrein V V , Kondratyev S I , Boran-Keshishyan A L
Published: November 2021

One of the most important components of the navigation safety decision support system (NS DSS) is the forecasting block. The results of his work have an impact on the type of control actions formed by the system. The effectiveness of this block depends on the forecasting methods used. The accuracy of the result of the forecasting block depends largely on the choice of the forecasting method.To develop reliable forecasts, it is necessary to determine forecasting methods, in relation to the specifics of the functioning of the NS DSS. Several ways of solving the problem of choosing the appropriate forecasting method in relation to the NS DSS are proposed. Two methods are demonstrated: Artificial neural networks (ANN) using precedents and Intelligent process analysis (IPA). Solving the problem of choosing the optimal method will guarantee obtaining a forecast with a certain level of accuracy, which will significantly increase the reliability of the forecast and, as a result, the effectiveness of the NS DSS. Solving the problem of choosing the optimal method will guarantee obtaining a forecast with a certain level of accuracy, which will significantly increase the reliability of the forecast and, as a result, the effectiveness of the NS DSS, which allows us to assert the relevance of this problem and further research.
Multicriteria assessment of optimal forecasting models in decision support systems to ensure the navigation safety
Authors: Astrein VV , Kondratyev SI , Boran-Keshishyan AL
Published: November 2021

When developing the Decision Support System (DSS), the operability of the internal motion and maneuvering control systems of the vessel is characterized by a large number of parameters, which should be monitored in order to achieve the expected results. The task is to develop an appropriate methodology for automatic monitoring of these systems, which, using a minimum set of sensors, makes it possible to predict the state of the vessel and change the dangerous state to the safe one. To implement the method of automatic monitoring, a set of statistical control tools is selected depending on the alleged violations and the level of correlation of parameters. The uncorrelated parameters are monitored by instruments based on the Shewhart map [1], the correlated parameters are monitored on the basis of Hotelling statistics [2]. This approach makes it possible to diagnose the pre-emergency and emergency states of ship control systems in on-line mode. The method used for multi-level integrated monitoring of the technical state of control systems in on-line mode can improve the reliability of of identification of the technical state of vessel subsystems and expandthe scope of application of monitoring and diagnostics tools. The data obtained can become the basis for the development of rational decisions in the DSS at the level of control subsystems for the vessel transfer from the dangerous to safe state.
On the possibility of organizing communication for e-Navigation in the coastal zone using radio-technical posts of the vessel traffic control system
Authors: Buzenkov I I , Tyufanova A A , Khaleeva E P
Published: November 2021

The concept of e-Navigation is to unify activities for the collection, integration, exchange, presentation and analysis of information on vessels and in coastal services through electronic technologies to improve the navigation safety, and the quality and efficiency of the relevant services.The generalized analysis of the obtained data is used to determine the appropriate actions in the prevailing conditions, to improve the process of the vessel’s transition from berth to berth (in ports of departure and destination) and the corresponding services that ensure the safety of navigation, environmental protection, information exchange between intelligent transport systems.The basis for fulfilling the assigned tasks are three basic components of e-Navigation: vessel systems; coastal and satellite systems; communication infrastructure. The purpose of the paper is the possibility of applying broadband radio communications for unmanned navigation in the coastal zone. The research object is the analysis of broadband communication systems; the subject is the assumed range of the WiMAX radio communication zone. EMC Planner 1.1_170328 is used to simulate the anticipated WiMAX radio zone.
A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems
Authors: Chuvikov D A , Aladin D V , Adamova L E , Varlamov O O , Osipov V G
Published: November 2021

This research presents a methodology for creating mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems. At its core, this methodology is kind of instruction for analysts facing the task of formalizing knowledge in a given subject area. The result of this formalization is a “knowledge map” created according to a special proposed template. In the future, this template allows forming a knowledge base for a given subject area in the formalism of bipartite oriented mivar networks. As an example, the subject area of ground-based intelligent vehicle control systems is used as a template. The proposed methodology of knowledge formalization makes it possible to simplify the process of creating models in Wi!Mi “Razumator-Consultant” 2.1 and also to level the probability of logical collisions when designing a knowledge model in the formalism of bipartite oriented mivar networks.
Methods of formalized quality assessment of intelligent transport systems
Authors: Goloskokov K , Korotkov V , Gaskarov V , Knysh T
Published: November 2021

The purpose of the paper is to identify the main problems of creating software systems with a given level of reliability for intelligent transport systems. Considering the importance of this approach and the gained experience, the paper discusses design solutions to ensure software reliability in the development process. The paper is based on domestic and foreign experience of software design for intelligent information systems, which include transport systems. The issues of achieving a given level of software reliability during the control process are considered taking into account the continuation of the development process. It also reflects efforts to model and evaluate the reliability of software systems by considering the most common types of software reliability assessment models during development, as well as to predict the reliability during maintenance. The emphasis is upon detecting and correcting software errors.
Analytical models of decision-making theory in digital transport logistics
Authors: Terentyev A , Karelina M , Karelina E
Published: November 2021

The active introduction of information and communication (digital) technologies into the modern reality of transport systems operation requires the development of modeling methods for the creation of software that allows to do the following: determine the formal efficiency of decisions made in digital transport systems (DTS); process large volumes of DTS data; perform analysis of DTS functioning environment using artificial intelligence algorithms, analytical analogues of neural networks, etc. A digital transport system, being a complex system, is determined by a large set of formalized indicators (database) and requires finding effective solutions for a sufficiently large number of criteria or signs of effectiveness. Obtaining reliable solutions in multi-criteria information situations causes difficulties, which are objective. In most cases modern mathematical models artificially reduce multi-criteria information situations to single-criteria categories. This approach, based on the use of integral criteria, has a fundamental disadvantage - the use of integral criteria to obtain estimates of the efficiency of actions or processes in complex systems is characterized by a high level of subjectivism. In this case, the obtained solution may be acceptable, but not an objective result. Therefore, it is necessary to develop mathematical models for solving multi-criteria problems applicable to the solution of problems in complex transport systems, allowing one to operate in the environment of large databases for operational reconfiguration of a management system in conditions of uncertainty and/or possible counteraction of the external environment. The article presents the results of development of mathematical methods of modeling, which allow us to construct algorithms for solving optimization tasks, formulated as multi-criteria models and in the presence of a high degree of uncertainty in the interaction of the system with the environment.
Analysis of results of investigation tests of the developed information and measuring active safety system of the vehicle
Authors: Buznikov S E , Saykin A M , Elkin D S , Strukov V O , Loginov I D , Oskin A V
Published: November 2021

The research objective is the analysis of results of investigation tests of the information and measuring active safety system developed by FSUE “NAMI”. The practice of operation and performed studies show that modern foreign advanced driver assistance systems do not provide appropriate functioning under severe road and climate conditions of the Russian Federation creating unjustified risks and precluding from preventing a significant number of road accidents. This statement is applicable to driving on slippery surfaces, ice and snow, to the driving mode in traffic jams, in the absence of recognizable road marking, blinding of video cameras, insufficient visibility range and road lighting, etc. In order to ensure competitive ability and commercial attractiveness of the developed domestic information and measuring active safety system, within the scope of this work additional studies were performed regarding improvement of driver status monitoring functions with an expanded vector of the state of the controls and speed range, tire pressure monitoring with an expanded speed range and start-stop driving mode, dangerous obstacle approach warning and detection of deviation from the center of the lane with unrecognizable marking. In this paper, the results of investigation tests of improved functions are considered.
Precise Position Intelligent Matching System of Online Recruitment Platform Based on Data Mining Technology
Authors: Gao Zhen
Published: November 2021

With the rapid development of Internet technology and computer technology, network applications have been developed more and more, and have penetrated into all walks of life in society. The emergence of the networking of the talent market has made the scale of online recruitment increase, and the amount of data on the Internet has become larger and larger, and online recruitment has become the main channel for corporate recruitment. Therefore, how to use the massive online recruitment data to quickly and accurately find the corresponding information and explore the hidden knowledge mode is a very valuable research topic. Data mining (DM) is a technology for data analysis for large amounts of data. It can discover hidden, hidden, and potentially useful knowledge hidden in the data from the vague, noisy, and random mass data, and build relevant Model, realize prediction, etc. The characteristics of data mining technology (DMT) are very suitable for the analysis of online recruitment information, research on large amounts of information, and find out the knowledge in it for decision support. This article aims to study the accurate job matching system of the online recruitment platform based on DMT. Based on the analysis of the advantages of online recruitment, related DMT and the design principles of the online recruitment platform system, the data collected by Weka DM tools are analyzed. Analyzing and getting useful job positions is just to provide job seekers and corporate-related recruiters with useful job information. The experimental results show that the online recruitment platform system can complete the collection of online recruitment position information, and can realize the DM function, which has good practical application value.
Research on Image Recognition System Based on Computer Deep Learning Neural Network
Authors: Du Shuqiang
Published: November 2021

The selection and extraction of image recognition by artificial means needs more complicated work, which is not conducive to the recognition and extraction of important features. Deep learning and neural network represent the iterative expansion of computer intelligent tech, and bring significant results to image recognition. Based on this, this paper first gives the concept and model of neural network, then studies the utilization of deep learning neural network in image recognition, and finally analyses the picture recognition system on account of in-depth learning neural network.
Customer Service System Design Based on Big Data Machine Learning
Authors: Kong Yuqiang , He Yaoping
Published: November 2021

In recent years, with the rapid development of big data, traditional offline transactions have been moved to online in large numbers driven by the Internet. The virtual nature of online transactions has caused it to have problems such as difficulty in guaranteeing product quality and difficulty in user consultation. In addition, consumers are paying more and more attention to the quality of services, and the participation of customer service in the process of online transactions is very important. However, the current e-commerce market in our country is large and the number of online shopping users is extremely large. Customer service personnel are facing great work pressure. In addition, customer service has the characteristics of difficulty in recruiting, high labor costs, and high turnover rate. Such a dilemma is not conducive to our country. The sound development of e-commerce needs to be solved urgently. In order to solve these problems, it is a good method to apply related technologies to realize the automatic response of customer service. The purpose of this article is to design and research a customer service system based on big data machine learning. This article first through the understanding of the basic concepts of big data, and then extend the core technology of big data. Combining with the design ideas and concepts of contemporary customer service systems in our country, we will discuss the design and research of customer service systems based on big data machine learning. Research shows that traditional customer service in the era of big data can no longer meet people’s growing needs, and customer service systems based on big data machine learning are more efficient and convenient.
Control System and Algorithm of Sewage Treatment Plant Based on Artificial Intelligence
Authors: Liu Yunzhu , Cao Jinbao
Published: November 2021

With the improvement of people’s awareness of environmental protection in recent years, the related problems of water pollution treatment have gradually come into people’s view. As the source of life, water accounts for a huge proportion in our lives, but at the same time, water pollution is quietly spreading in places we don’t know. The continuous discharge of heavy industrial wastewater, agricultural wastewater and domestic sewage leads to increasingly serious water pollution. Sewage treatment(ST) is imperative, and its social benefits are huge, but the corresponding cost is high, and the return on investment is low. Traditional ST methods can not load large-scale ST. How to carry out ST based on artificial intelligence(AI), build ST plant control system, and make ST enter the era of automation is the problem to be solved. The purpose of this paper is to put forward the reform of control system for ST plant based on AI, apply AI into ST, and realize the automation and precision of ST plant. This paper mainly uses the fuzzy self-tuning PID control system algorithm, through the analysis of ST control object, analysis of fuzzy self-tuning PID controller design to complete the ST control system settings. In this paper, the literature review method and data analysis method are used. By collecting relevant data, the control system of ST plant is constructed to simulate ST, and the real-time data of ST is analyzed. The traditional PID control and fuzzy self-tuning PID control are compared. The experimental results show that the wastewater treatment plant system based on AI input, in the aspect of wastewater treatment, the concentration of COD and BOD in the treated wastewater are reduced by a certain proportion, the dissolved oxygen content in the wastewater reaches about 2.0mg/l, which meets the national discharge standard, and its rising time is reduced to 25 seconds, and the adjustment time is saved by 50 seconds.
Construction of Sports Recognition System Based on Sports Visual Image Technology under the Background of Information Technology
Authors: Zhang Shubing
Published: November 2021

With the development of the times, sports competitions are sought after and favored by more and more people, and the judgment of athletes in the competition is becoming more and more strict and standardized. The further development of Internet technology and information technology has provided great convenience for the effective recognition of athletes’ movements in sports competitions. This article aims to study the background of information technology, through the use of sports visual image technology to design and construct an action recognition system, in order to efficiently and accurately identify and judge the various movements of sports competitions, thereby effectively reducing various manpower and the cost of material resources, while improving the accuracy of the competition results. In the experiment, this article invites 100 volunteers to participate in the system’s behavioral test recognition. The volunteers’ simple exercises such as jumping, raising hands, kicking, turning and squatting are tested, and the result is the exercise designed in this article. The recognition system is able to recognize five sets of actions in the experiment, among which jumping is 97.66%, kicking is 98.13%, squatting is 97.62%, raising hand is 95.24%, and turning is 96.43%. Research shows that the motion recognition system based on sports visual image technology designed and constructed in this paper has high motion recognition accuracy and can recognize athletes’ movements scientifically and effectively.
Automatic Control of Electronic Information Transmission Integrity Considering Gabp Neural Algorithm
Authors: Tang Lin
Published: November 2021

With the rapid development of the economy and society, information has become an essential social resource and creates wealth continuously. However, open electronic information can be easily lost during transmission control. In this paper, the state of the information network is determined through a series of indexes based on the GABP neural algorithm. At the same time, the rate of information transmission is adjusted based on the state of the information network through self-adaptation, and the integrity of information transmission is controlled by the genetic particle swarm algorithm. Based on reasonable control of the integrity of information transmission, the research on the automatic control technology of open electronic information transmission integrity is accomplished under the condition that the bandwidth and response delay indexes are meeting. The study results indicate that the neural algorithm based on the GABP network can automatically control the electronic information transmission integrity and improve the reliability of information transmission effectively.
Design of Early Warning Platform for College Students’ Achievement Based on Data Mining
Authors: Mao Yuanfu , Yu Zhifeng
Published: November 2021

With the acceleration of the application of information technology in Colleges and universities in China, the efficiency of higher education is constantly improving. The focus of teaching management in Colleges and universities is to continuously improve the teaching level of colleges and universities, and the key is to strengthen the management of students’ performance. Performance warning is a form of student performance management. In recent years, data mining technology is more and more mature, and its application is also very wide. Many students have applied data mining technology to university management. In this paper, we apply data mining technology to college students’ performance early warning, and use Apriori algorithm in association rules to design and build college students’ performance early warning platform, and select two classes of students as the research object to verify. In this study, we choose the English course scores of two classes as the test data, and define the performance warning, which is based on the score below 60. The results show that six students in class a will be subject to performance warning, while seven students in class B will be subject to performance warning. In addition, the performance early warning platform designed by this method, the early warning accuracy rate is as high as 92.85%, the accuracy rate is high, has certain application advantages.
Design of College English Halving Classroom Teaching System Based on Big Data
Authors: Chen Guilan
Published: November 2021

With the development of big data and the continuous advancement of education informatization, the single lecture-based classroom teaching model no longer meets the development requirements of the society for the development of talent education and training. Under the environment of big data technology, how to innovate teaching models and talent training models becomes the focus of the current classroom teaching reform. This article aims to study the design of the college English bisection classroom teaching system based on big data. On the basis of introducing the bisection classroom, the basic theory of teaching system design and the design principles of the bisection classroom teaching system, the theoretical analysis and top-level design of the system login module and the teaching system that adaptively integrates teaching resources according to the status of college students are carried out. Finally, an experimental test of the college English split-class teaching system based on big data has been carried out. The test results show that the system can realize the core of system management, teaching resource release and dynamic configuration.
RETRACTED: The Design of College English Teaching Platform Based on Artificial Intelligence
Authors: Huang Xuxuan
Published: November 2021

Entering the 21st century, with the rapid development of the computer Internet, the transformation of the functions of schools in moral education and teaching management has been further strengthened, and the construction of educational information in my country has entered a new stage of comprehensive development. English teaching methods have also undergone changes. Following the reform of the Ministry of Education, we seize the opportunity to promote the further development of artificial intelligence in the field of education and provide convenience for college English teaching. The purpose of this article is to study the design of college English teaching platform based on artificial intelligence. This article introduces the development process of the intelligent teaching integrated service system in detail, and also details the system’s demand analysis, function design, and database design. This system can realize the comprehensive management of students’ grades and comprehensive intelligent services at the teacher level. The design of the integrated teaching service system of the platform is to serve many college students, provide teaching and management services, and provide college students with information and results and other information query services. Combining with the predecessors to establish a teaching platform for research, the various management systems they used, analyze the experience and shortcomings that these systems and the platform can learn from in actual teaching management services, and research and develop a set of intelligent teaching suitable for use by the unit Integrated service system. Experimental investigations and studies have shown that the most balanced function of each platform is the Max Intelligent Assistant, whose system averages about 33% in teaching, analysis, and correction. The analysis system of Yu Classroom accounts for the largest proportion of all platforms, as high as 40%. The teaching system is the best geek big data, with 40%. In general, learn from the above teaching platform design and improve it to provide learners with the most suitable teaching platform.
Symbiotic Exploration of Silage Machinery Based on Technological System Evolution
Authors: Lv Bing , Wei Hao , Li Yantao , Xue Zhenpeng
Published: November 2021

In order to make each functional module of silage machinery have a high degree of adaptability and meet the market demand of coordinated operation of each functional module, this paper preliminarily explores the symbiosis concept in the field of silage equipment, and applies the technology system evolution theory to the symbiotic design of silage equipment. In the design stage, the designers divide the functional modules of the silage machinery according to the market and user needs, and then analyze the symbiosis of the interrelated modules and screen out the functional modules with weak adaptability, so as to carry out the technical system evolution and optimize each functional module, and then establish the layout scheme between modules, so that the various functional modules of the silage machinery have strong adaptability, improve product quality, reduce design costs, shorten the design cycle, and realize the user’s demand for the coordinated operation of multi-functional silage machinery.
The Development Trend Research of Computer Monitoring Technology Optimization in Interior Design Planning
Authors: Wang Shiqi
Published: November 2021

With the further development of society, my country’s industry has further affected the environmental ecology, making environmental degradation more and more serious. In recent years, more or less haze has appeared near various industrial sites, making the air more and more severe. Muddy, people’s lives cannot go on normally. Nowadays, people work indoors most of the time, so indoor environment and air quality will directly affect the health of the body. Therefore, it is very important to carry out research on indoor air quality monitoring, especially in offices, classrooms, shopping malls and other spaces. Closed and crowded places. There is a need for an indoor computer monitoring system that can grasp the environment of multiple rooms in the room in real time to achieve the purpose of monitoring and early warning. The purpose of this article is to study the development trend of computer monitoring technology optimization in interior design planning. This article through the in-depth study of computer monitoring technology, analysis of the current advanced computer monitoring core technology, combined with my country’s contemporary interior design planning environment, to discuss the development and application of computer technology in interior design planning. And through the research and analysis of these development applications to explore the necessity of upgrading my country’s indoor environmental monitoring system. This article will take the application of computer monitoring technology in interior planning and design as the research object and conduct research and analysis through literature method, questionnaire survey method and mathematical statistics method. Investigation and research show that Zigbee technology is used by most people. Compared with other wireless network computer monitoring technologies, ZigBee has better power, distance and convenience. The excellent application of computer monitoring technology in indoor planning and design makes it very good to monitor some indoor values in people’s lives.