bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling and development of a fundamentally new way of landing a quadcopter on inclined surfaces
Authors: Olenko F F , Malakhov S O 
Published: November 2021

Abstract
Methods and software and hardware for modeling and developing a fundamentally new way of landing a quadrocopter on inclined surfaces are discussed in the paper. The current state of the project under elaboration is conditioned and described. Various approaches to the solution are feasible due to the complexity of the considered issue. Solutions can differ both in the distribution of control functions between the ground control station and the quadcopter itself, and in the choice of principles that can be used as the basis for the control system and determine its design and dynamic characteristics. Simulation and testing processes demonstrate that reverse thrust alone can increase the landing zone of an average mass quadcopter, almost doubling the maximum tilt angle at which a landing maneuver is made, thus, allowing for a high vertical speed landing. It is clearly shown that low-power adhesion mechanisms such as electrical adhesion, switchable magnets, grippers or dry glue are activated after landing, allowing it to stay on the surface after the back thrust has ceased. This can be useful in situations where sudden interference is likely to occur. Such a result is achieved using a classic quadrocopter as DJI F450 without adding any equipment.
Unmanned navigation system
Authors: Aleksanyan A K 
Published: November 2021

Abstract
After Lockdown - 2020, the unmanned navigation system began to be more actively developed. In a pandemic, it became clear that the modernization of ships, namely the automation of most operations, would reduce the size of the crew. This will reduce the number of jobs; on the other hand, this will ensure safety, which, today, is a priority. In addition, the introduction of a system of unmanned navigation will require a revision of the professions of seafarers, there will be a demand for highly qualified personnel, which will contribute to the emergence of new specialties in higher educational institutions. The sources for writing the article were the regulatory legal acts regulating the activities of the Maritime Law and the data of companies working in this area, taken from open Internet resources over the past 5 years. The article provides an overview of the unmanned navigation system market as a separate segment of the shipbuilding market that has significant prospects. A SWOT analysis of the implementation of the unmanned navigation system was carried out, the opinions of independent experts were considered. During the study, it can be argued that all economically developed countries are trying to switch to a system of unmanned navigation, but the main limiting factor for all is the issues of legal regulation.
Navigation system for unmanned vessels using a navigation buoy
Authors: Andryushechkin Y , Butsanets A , Karetnikov V , Ol’Khovik E 
Published: November 2021

Abstract
Nowadays the floating aids to navigation are being actively developed for remote control of the buoy location. The modern technical level allows building a buoy with the functions of monitoring the environment and transmitting the received information to coastal services. This task is becoming more urgent in connection with the development of unmanned vessels. The paper considers the results of field tests of an operating navigation buoy with special navigation equipment. The buoy is designed for information support during field tests of unmanned vessels and water transport facilities in the test water area in the Volga-Baltic basin of the inland waterways of the Russia Federation. Full-scale tests of special navigation equipment were carried out in accordance with the developed program and test procedure. The tests included the validation of the receipt of data from special navigation equipment to an external server via LTE mobile networks, assessment of the accuracy of positioning by means of navigation equipment, assessment of the percentage of data loss during transmission and validation of data visualization on an interactive map displayed in an Internet browser.
Logical-probabilistic assessment of the occurrence of destruction during intersystem interactions in the electrical system of the seaport
Authors: Litskevich O N , Litskevich A P 
Published: November 2021

Abstract
This article solves the problem of a quantitative assessment of the occurrence of destruction in the intersystem interactions of the transport system and the electrical system of the seaport, in the conditions of the technological process in the seaport, which indicates its significant impact on the electrical system, as a result of which the reliability of the berthing power line is significantly reduced. The intersystem interactions that occur during the implementation of the technological process, as experience shows, are the causes of critical situations that occur at the border of areas of different physical nature, and the consequences are recorded, in the case under consideration, in the electrical system. A mathematical model describing intersystem destruction in quantitative form is presented in this paper using a logical-probabilistic model that reflects internal and external relationships. In the object under study, the destructive cause (collision) and the consequence (accumulation of electrical damage in the insulation of the cable line) are in the same object (the mooring power supply unit), and this is limited to the effects of intersystem destruction. In such a statement, the object of power supply of the technological process and equipment is considered as a composite object containing a cable line and an electric contact column. The problem being formulated is an important and relevant scientific task, which includes not only the question of identifying the causes of increased electrical wear of the power line, but also the development of methods for obtaining quantitative results, and in practical terms also involves the diagnosis of the technical condition of electrical equipment and timely preventive maintenance.
Implementation of the control algorithm of the traction electric equipment
Authors: Lysenko D A , Yu Konyukhov V , Astashkov N P 
Published: November 2021

Abstract
Currently, in various fields of science and technology, there is a fairly large number of methods for predicting reliability indicators, which differ in the set of tasks to be solved and the features of the mathematical apparatus used. When developing a methodology for calculating the reliability of an electric machine, one of the main stages is the development of a mathematical model, in which it is possible to take into account the factors, the impact of which directly affects the technical condition and the level of operational safety. Taking into account the disturbing influences during the implementation of the technological process is possible provided that the means of automation are used. The performed analysis of statistical data on traction motor failures made it possible to substantiate the advisability of warming up, since a significant number of electrical part failures occur in the autumn - winter - spring periods of time. This feature of the distribution of failures is to a certain extent due to the direct wetting of the insulation and a decrease in its dielectric strength. This process is associated with a sharp drop in external and internal temperatures when placing the locomotive at the depot, which contributes to the appearance of condensate on the insulation, its further destruction. The measure proposed in the article for warming up traction electrical equipment is aimed at an integer reduction in the failures of the electrical part of the electric motors under consideration.
Research and Implementation of Browser Table Layout Algorithm
Authors: He Weiwen 
Published: November 2021

Abstract
Refer to the table’s feature, the paper advances a kind of table model, and then introduces how to convert the table into the table model, and gives a table layout algorithm based on the table model and the characteristic of the table layout in an embedded browser. At last the paper emphatically introduces the table layout algorithm that can be used to resolve the nested table layout and prevent the data out-flow the table.
Research on Identification of Consumer Product Quality Safety Factors Based on Improved FCM Algorithm
Authors: Kuai Yong , Wang Haiyan , Wang Yanfeng , Xu Yingcheng 
Published: November 2021

Abstract
In view of the shortcomings of FCM algorithm, the membership degree and the cluster category number are improved to perfect the FCM algorithm. The performance of the improved algorithm is verified by a case of consumer product quality as a data source, and the results show that with the improved algorithm, both clustering accuracy rate and F value are improved.
An Analysis of Internet Enterprise Value Evaluation Method Based on ARIMA
Authors: Chen Ling 
Published: November 2021

Abstract
With the rapid development of the times, the Internet has been deeply integrated into various fields, and many Internet companies have emerged at the historic moment, and economic activities such as mergers, reorganizations, acquisitions, issuance and listing, equity swaps, mortgages, bankruptcy and liquidation of Internet companies have also increased frequently. This has led to more and more value evaluation activities related to Internet companies, and the business model of Internet companies is different from traditional companies, so traditional corporate value evaluation methods cannot fully meet the special requirements of Internet company value evaluation. Therefore, we need to establish a sound Internet enterprise value evaluation system, and use more scientific and reasonable evaluation methods to ensure the interests of all parties to the transaction. Starting from the operating characteristics of Internet companies, this article analyzes the characteristics and difficulties of Internet corporate value evaluation, clarifies the effectiveness and limitations of the income method in Internet enterprise value evaluation, introduces the ARIMA model to improve the traditional income method and takes NetEase as an example. This method is applied to practice to verify its feasibility. So as to provide a scientific and reliable reference basis for Internet enterprise value evaluation.
Research on the Application of Adaptive Genetic Algorithm in Software Unit Security Test Simulation
Authors: Ge Xuefeng 
Published: November 2021

Abstract
At present, the security test and simulation of software unit mainly focuses on several links, such as software control structure amelioration, software process alternating quantity model control and model inspection tech, and there are still many shortcomings, such as high missed inspection rate, difficult to effectively guarantee the needs of practice, etc. Based on this, this paper first analyses the purpose and principle of software unit security test and simulation, then studies the utilization of ameliorated genetic algorithm in software unit security test simulation, and finally gives the simulation results analysis of software unit security test based on AGA.
Design of Atmospheric Environmental Health Monitoring System Based on Spatial Bayesian Network
Authors: Lu Xia , Chu Jiangzhou , Zhu Wei 
Published: November 2021

Abstract
With the rapid development of our country’s economy and industry, atmospheric environmental issues have gradually attracted more and more people’s attention. In recent years, the vigorous development of the Internet of Things technology has made it possible to “Internet of Everything”. At present, the common traditional atmospheric environment monitoring systems on the market generally have shortcomings such as single function, large system measurement error, inability to collect data for a long time, large system power consumption, and inability to view data after being far away from the device. As Bayesian network theory is more and more applied to the modeling of monitoring events, more and more learning optimization methods about Bayesian network have been proposed and become a research hotspot. The purpose of this paper is to study the design of atmospheric environmental health monitoring system based on spatial Bayesian network. This paper studies the intelligent anomaly detection technology based on Bayesian network, the purpose is to use the intelligent anomaly detection technology to predict unknown behaviors that affect the health of the atmospheric environment, improve the learning ability of the detection system, and strengthen the active defense capability of the atmospheric environmental health monitoring system; Secondly, this article proposes an improved spatial Bayesian network model based on the shortcomings of the spatial Bayesian network. Finally, in view of some of the shortcomings of the detection system, this paper proposes a system model that combines anomaly detection with other detection mechanisms, which can significantly improve the accuracy of detection and reduce the false alarm rate of the atmospheric environmental health monitoring system. This paper aims at the above shortcomings and at the same time integrates the current situation of the atmospheric environment monitoring system, analyzes the possible trends of the atmospheric environment monitoring system, and combines the advantages of the spatial Bayesian network to address temperature, humidity, carbon monoxide concentration, and suspended particle concentration. For the main atmospheric environment indicators, a multi-functional, low measurement error, low power consumption, and low-cost atmospheric environment monitoring system is designed. Experimental research results show that: in terms of concentration, nitric oxide and nitrogen dioxide are the highest, at 58% and 68%, respectively, and they are also the largest in the air, accounting for a total of 70%. All in all, the monitoring system needs to monitor even more types of gases listed above, so that the feedback of the atmospheric environment health status is more accurate.
RETRACTED: Intelligent Control Optimization of Remote Transmission Quality of Communication Signals Based on 5G Network
Authors: Zhang Nannan 
Published: November 2021

Abstract
With the rapid development of the information age, mobile communication networks have gradually entered people’s lives. The emergence of 5G networks has accelerated the convenience of people’s communication and contact, and has become an advanced information technology that has been widely used in various fields. Although the emergence of 5G networks is beneficial, the remote transmission quality of communication signals has also caused many problems. The optimization of remote transmission quality can effectively improve the operational stability of the communication network. There are many ways to optimize the transmission quality of communication signals. For example, when signal interference needs to be reduced, calculate the average value of signals in various places, set the interference reduction threshold function, and complete the remote transmission quality optimization of communication signals. The existing method is to use microblogs with hard and soft thresholds to decompose the signal quality through multiple scales to provide interference reduction thresholds, but ignore the calculation of the average value of the subband signals, so the signal transmission quality is optimized The effect is not satisfactory. It is recommended to reduce the interference in the network communication process based on the anti-window. First, the input communication signal is Pulley converted, the frequency domain interference detection is performed on the communication signal, a low-pass prototype filter is formed, the average value of the signal in each place is calculated, the interference reduction threshold is set, and the network communication process is completed. The weakening of interference realizes the optimization of transmission quality. This article conducts research and discussion on the optimization of the long-distance transmission quality of the communication signal of the 5G network. Experimental research results show that by demonstrating the optimization of the quality of the 5G communication signal transmission process, these demonstrations can ensure the quality of the communication signal, and people’s demand for the network is already indispensable.
Computer-assisted Music Composition Algorithm Design Dependent on Interactive Genetic Algorithm with Interval Fitness
Authors: Guo Qili 
Published: November 2021

Abstract
Computer-assisted music composition refers to computer-assisted music composition with the participation of people. However, there are problems such as style and expression. In this paper, a computer-assisted music composition algorithm based on the interactive genetic algorithm with interval fitness is proposed. A new music prediction model is established by integrating melody units and rhythms into traditional models with only notes or rhythms as units. Moreover, the generated music phrases are optimized by the interactive genetic algorithmphrase. The simulation results suggest that the proposed algorithm can generate music phrases quickly with a certain melody logic that conforms to the personal demand of users using a small data set.
Application of Machine Learning Algorithm Based on Neural Network Technology
Authors: Lai Yiqiang 
Published: November 2021

Abstract
Neural networks have strong characteristics for processing data and information. At the same time, the current computer technology is also very advanced, and many kinds of very powerful information technologies have been developed under the promotion and promotion of modern science and technology. Therefore, relevant personnel will carry out advanced technology and neural network structure methods. Fusion, and then an artificial neural network was established on this basis. In a broad sense, machine learning refers to how to enable a machine to acquire relevant knowledge through autonomous learning, and the purpose is to enable the machine to have relevant skills similar to what people need to acquire knowledge. The research in this article aims to explore the machine learning algorithms based on neural network technology, and through literature research methods, case analysis methods, etc., to have an in-depth understanding of machine learning algorithms in neural network technology, and then through the analysis of machine learning algorithms in neural network technology The learning advantage and its influencing factors are designed based on the machine learning algorithm in the neural network and experimented. Experimental results show that LSTM performs well in replication tasks, and the performance of LSTM even far exceeds that of NTM, but the performance of LSTM in addition and multiplication tasks is much lower than that of NTM. Although the accuracy of NTM on the test set is higher than that of LSTM and RNN, the performance of the model is still relatively poor.
RETRACTED: Research on Urban Electric Vehicle Public Charging Network Based on 5G and Big Data
Authors: Yao Weijing , Zhang Cheng , Deng Guoru , Ke Wangsong , Zhang Dai , Li Lei 
Published: November 2021

Abstract
Under the pressure of energy and environmental protection, we will promote the technological progress and demonstration of electric vehicles, and the construction of charging facilities will continue. Charging facilities planning and orderly charging, as two major research directions of electric vehicle infrastructure, are of great significance for the future development of electric vehicles. The optimal charging of electric vehicles can effectively improve the safe and economic operation ability of distribution network, which is of great significance to its safe operation. Therefore, this paper proposes the outsourcing test experiment and processing of urban electric vehicle public charging network based on 5G and big data. In this paper, through the analysis of the development status of urban electric vehicles, this paper proposes to optimize the charging mode of electric vehicles by combining the charging network forward and backward algorithm. In the outsourcing test experiment, the electrical safety test shows that when the current reaches 1.1-37.1kw: 5000A, when the power factor is 0.8 ∼ 0.9, when the short-circuit current impact is tolerated, the connection device will not affect the breaking operation by contact fusion welding, and the insulation protection will not be invalid. Through investigation and analysis, the satisfaction degree of electric vehicle optimization algorithm is increasing year by year. Through the analysis of the test results, the research in this paper has achieved ideal results and made a contribution to the research of urban electric vehicle public charging network.
Mobile Image Multi-label Recognition Algorithm Based on PaddlePaddle Platform
Authors: Chen Yuanyi 
Published: November 2021

Abstract
As one of the core algorithms of machine vision, the mobile image multi-label recognition algorithm has received extensive attention from researchers in recent years and has been widely used in cutting-edge fields such as deep learning framework paddlepaddle platform, video surveillance, intelligent robots, and unmanned aerial vehicles. However, the existing recognition algorithms are not completely satisfied with the practical application in life and production. Due to the complexity of the platform environment, they can often only propose specific solutions based on existing problems, and there is no universal algorithm that is suitable for all kinds of Complex environment. The purpose of this paper is to study the multi-label recognition algorithm of moving images based on PaddlePaddle platform. This research mainly analyzes and researches the mobile image multi-tag space deployment plan and the multi-tag recognition algorithm, and further improves the tag reading rate and recognition reliability of the mobile image on the PaddlePaddle platform. This research first analyzes several key factors that affect the performance of UHF recognition system, considers the improvement plan of PaddlePaddle platform’s mobile image multi-tag recognition algorithm from the two aspects of space diversity and frequency diversity, and finally determines the multiple The label space diversity scheme, and the introduction of a multi-label optimization recognition algorithm to improve the recognition efficiency of the PaddlePaddle platform’s mobile image multi-label. Experimental data shows that the reading rate can reach 0.907 when identifying 300 tags in the experiment, and when the number of tags is greater than 300, the reading rate is close to 1, which verifies that the algorithm proposed in this paper is used in the multi-tag recognition of moving images on the PaddlePaddle platform.