bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Boat Detection Based on Feature Pyramid Network and Deformable Convolution
Authors: Li Kaipeng , Wang Yunge , Shao Yuan , Wu Xingxiao 
Published: December 2021

Abstract
The submarine cable guarantees the electricity and communication of the island residents. The operation of fishing boats poses a major threat to the submarine cable. Due to the complex environment, manual monitoring has defects such as strong subjective factors and easy fatigue. The paper adopts the intelligent monitoring method, using the object detection algorithm based on deep learning and the camera to monitor the boats on the sea. Use feature pyramid network to enhance the detection of smaller and farther boats. Use deformable convolution to solve the problem of few samples. Experimental results show that model can detect boats. The detection ability of the feature pyramid network is stronger, especially for the distant and smaller boat targets. Using deformable convolution can improve the accuracy of models trained on small dataset.
RETRACTED: Application Research of Software Engineering Technology and Algorithm Optimization in the Era of Big Data
Authors: Xin Zhang 
Published: December 2021

Abstract
Starting from the overview of technology of big data and software engineering technology, this paper discusses the core technology of software engineering and the application of software engineering technology. In order to better follow the development trend of the times and promote social and economic construction, it is necessary to do a good job in the research of software engineering. Relevant people can analyze the application of software engineering technology from the perspective of digital information based on the background of the times, so as to promote the continuous improvement and development of software engineering technology.
Modeling analysis and optimization of temperature curve of welding furnace
Authors: Sun Huiting , Liu Hongkun , Wang Ying 
Published: December 2021

Abstract
Reflux welding is widely used in SMT (surface patch technology) During this production process, the quality of the product is essential to maintain the temperature and the furnace speed required by the process. The furnace temperature curve in the furnace is an important form of reaction welding process. In order to improve the process efficiency of the return furnace, the heating welding process model is established based on the Fourier heat conduction law,1 D heat conduction model and Newton cooling law and draws the furnace temperature curve model. Then, the upper boundary of the conveyor speed using the boundary analysis and multiple target planning, and further explore the research and optimization direction of subsequent process flow. At the same time, this paper examines and analyzes the modeling process and results, and effectively demonstrates the scientific nature and accuracy of the model. Finally, the paper analyzes the significance of the above model and research in chip processing.
Application of Computer Remote Video Technology in Network Assisted Art Innovation by Computer Artificial Intelligence
Authors: Geng Yunshan 
Published: December 2021

Abstract
In response to the needs of the teaching of art majors in colleges and universities today, this paper constructs a “based on campus network art major’s hybrid auxiliary teaching innovation platform system”. The system uses a perfect campus network to establish a secure network-assisted teaching platform system that integrates B/S structure and advanced ASP. NET technology with multi-level users. The platform provides a complete network-assisted teaching environment and realizes the integration and sharing of teaching resources in the largest range. Practical application shows that the highly operable courses of art majors in colleges and universities can stimulate students’ initiative and improve students’ learning ability under the application of this mode.
Research on breakpoint area detection of computer communication network transmission data based on cloud framework
Authors: Zheng Shichuang , Li Jiajun , Chen Shuai , Liang Yujia , Lin Jiangtao 
Published: December 2021

Abstract
Traditional detection method of data breakpoint in computer communication network has some disadvantages, such as time consuming, etc. Firstly, the data of computer transmission breakpoints are stored based on cloud framework, and the density distribution characteristics of the region are extracted according to the breakpoint data. Then the optimal data breakpoint detection path is selected. Finally, the similarity of each data breakpoint is detected by the computer, so that the detection of data breakpoints is realized by computer. After experiments, the data breakpoint detection is realized, the results show that the designed method can detect data breakpoints accurately, which is time-saving and has a certain significance of popularization.
Research on the Application of Artificial Intelligence Technology in Power System Intelligent Dispatching Automation
Authors: Liu Hongying 
Published: December 2021

Abstract
From the perspective of meeting the power quality requirements of users, the article analyses the characteristics of traditional voltage and reactive power control mode and the regional power grid reactive voltage optimization centralized closed-loop control mode (AVC system) based on the dispatch automation system (SCADA/EMS) from the perspective of technical management. Combining the reactive power/voltage real-time optimization control model, a real-time optimization control method of the regional power grid based on the improved differential evolution algorithm is proposed. The particle swarm algorithm is combined with the characteristics of reactive power/voltage control to improve the initial particle quality, reduce the optimization space, and introduce a crossover operator to improve the calculation speed and efficiency of the algorithm. Taking an actual regional power grid as an example, the simulation calculation of reactive power/voltage real-time optimization is carried out. The results show that the proposed algorithm and control strategy are feasible and effective.
Research of Computer Aided Costume Design Application with Image Processing and Drawing Software
Authors: Jing Fei , Gui Yu 
Published: December 2021

Abstract
Computer aided design (CAD) is a practical course in the major of costume design. In the future, computer information technology will be more mature, the use of computers is more popular. The computer technology assisted in costume design specialty can better promote the development of this specialty to follow the trend. The use of computer-aided technology in costume design can enrich the content and make the skill training more real. However, to break through the existing problems, it is necessary to make the teaching of professional courses keep pace with the development of the industry. The use of computer aided technology in primary school teaching will also bring impact from the traditional clothing teaching. We will further promote teaching reform and improve teaching quality.
Segmental Intelligent Model Test of Box Girder Bridge Strengthened By a Cable-Stayed System by Mathematical Calculation
Authors: Wang Xianggang , Shen Yongli , Yang Yongcheng , Zhou Xinxin , Xu Gangnian , Chen Zihua 
Published: December 2021

Abstract
Dongming Yellow River Highway Bridge is an important super large bridge across the Yellow River on national highway 106. In order to effectively improve the cracking and deflection of the bridge, the cable-stayed system is used to reinforce the main girder of the project. In order to analyze the stress state of joist, bracket and box girder, the static loading of cable is carried out through scale model test to study the mechanical properties of concrete box girder segment, joist and bracket, verify the reliability of bracket and concrete box girder anchorage, and optimize the reinforcement method of cable-stayed system according to the test results.
Smart Risk Assessment Model of Water Inrush in Submarine Tunnel through AHP-TOPSIS and Intelligent Computing
Authors: Song Qian , Zhou Binghua , Kong Fanmeng , Jiang Xudong , Yu Yuehao 
Published: December 2021

Abstract
In tunnel construction, water and mud inrush disasters are prone to occur when the tunnel traverses water-rich faults, which leads to structural damage and tunnel instability, which is one of the most severe hazards in tunnel excavation and construction. This paper proposes a method of combining AHP and TOPSIS. The weights are determined through the analytic hierarchy process utilizing expert scoring. The determined weights are evaluated and predicted by TOPSIS for water inrush risk. The Jiaozhou Bay Subsea Tunnel is used as a case to carry out the tunnel crossing the fault zone. Water inrush risk prediction provides a new idea for water inrush risk prediction.
Intelligent numerical computation method and quantitative study on morphological characteristics of multi-scale aggregate
Authors: Yang Haodan , Mei Yingjun , Feng Guangyu , Dou Peiyuan , Zheng Yiwei , Zhao Haidong 
Published: December 2021

Abstract
Use Image-Pro Plus software, high-precision inductive sensor TR200, electro n microscope and ENVI image processing system to quantitatively study aggregate mo rphology from three scales: macro, meso, and micro, and obtain P, As, R, Ry, Rsm, et c. 17 quantitative indicators of morphological characteristics, compared with the occup ancy rate of the aggregate broken surface and the roughness of the aggregate surface. T he results show that the 17 morphological characteristics indexes are feasible for multi -scale quantification of aggregate morphology. Macro-morphological characteristics di rectly indicate the angularity and needle-like shape of materials, micro-morphological characteristics directly indicate the roughness of materials surface, and micro-morphol ogical characteristics directly indicate the micro-morphological characteristics of mate rials. The quantitative indexes of aggregate morphology at micro-scale and micro-scal e are improved, and the results are helpful to reveal the morphological characteristics o f aggregate comprehensively.
A FEA Method for Mathematical Calculation and Prediction Analysis Cross-sectional Ovalization of Tubes under Rotary Straightening
Authors: Zhang Ziqian , Zhong Ying 
Published: December 2021

Abstract
The section flattening phenomenon (namely Bazier effect) will occur in the large bending deformation stage of thin-walled pipe in the continuous straightening process. The maximum section flattening amount and the residual section flattening amount are important process parameters, which are the basis for calculating the subsequent process parameters of the flattening circle, and directly determine the roundness of the final pipe and the product quality. However, it is hard to be obtained by the theoretical or experimental methods. Therefore, based on the structure and process parameters of the leveler, a finite element model was built to simulate the section flattening process. Then, ANSYS/LS-DYNA software was used to dynamically simulate the bending flattening phenomenon of thin-walled pipe in the continuous straightening process, and the stress and strain nephographic of the flattening deformation zone was obtained. By recording the position curve of the key nodes in the preventing process, the section flattening amount of the thin-walled pipe in the large bending deformation stage in the continuous straightening process was determined. The simulation results show that the dynamic simulation method can effectively predict the section flattening of thin-walled pipe in the process of continuous straightening.
The High-Reliability Optimization of Dead-Time Circuit for Push-Pull DC-DC Converter
Authors: Guo Huixia , Li Xiang , Jia Libin , Hao Yongqin , Ren Wu 
Published: December 2021

Abstract
Aiming at of the problem of common conduction state in push-pull DC-DC converter’s power transistor, an optimization solution by improving pulse width modulation(PWM) mode and reasonable setting parameters of the transformer and the inductance was proposed. The solution was analyzed in detail and test of the optimized circuit are carried out. The results show that the optimized circuit can effectively eliminate common conduction state, make the converter have a suitable dead-time and greatly improve the reliability of the converter.
Research on Intelligent Information System of Library under Big Data and Digitization Technology
Authors: Wang Chunyu , Sha Zhengyu 
Published: December 2021

Abstract
In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructed.
Computer Intelligent Cloud Server Platform of Coal Preparation Plant Based on Big Data Cloud Technology
Authors: Zhang Qing , Chen Hao , Wang JiaYin , Zhu YuGe , Zhou ChangZhong 
Published: December 2021

AbstractThis article combines the actual situation of the coal preparation plant and uses big data cloud technology to carry out detailed system requirements analysis and monitoring platform design. The entire design includes server framework design, database design, cloud service deployment and mobile client prototype design. According to the on-site working conditions of electromechanical equipment, the article uses ER model and 3NF method to abstract it and establishes a MySQL real-time database of equipment operating status. Finally, the ECS cloud server is used to complete the deployment, and the JSP technology is used to realize the display of the system’s man-machine interface, as well as remote monitoring services for equipment monitoring, information management, and user management. Practical application shows that the system can improve the comprehensive automation and information level of the enterprise, reduce the operating cost of the enterprise, and improve the production efficiency of the enterprise.
Digital Twin Based on 3D Visualization and Computer Image Recognition Technology in Coal Preparation Plant
Authors: Zhang Qing , Chen Hao , Zhu YuGe , Wang JiaYin , Zhou ChangZhong 
Published: December 2021

Abstract
The digital twin coal preparation plant is a potentially effective way to realize the intelligent interconnection and interactive integration of the manufacturing physical world and the information world. Aiming at the difficulty in predicting and maintaining the state of the shearer in a harsh working environment, combined with the high-fidelity behaviour simulation characteristics of the digital twin and the powerful data mining capabilities of deep learning, a coal shearer health prediction driven by the integration of the digital twin and deep learning is proposed. Method. The article builds an information management and integration platform composed of a real-time database and a comprehensive information platform, and realizes the unified management of data integration and application systems.
Integer Ambiguity Fixation Based on SC-PAR Algorithm
Authors: Jia Xizi , Ji Yuanfa , Fu Wentao , Liang Weibin , Pan Bingye 
Published: December 2021

Abstract
In terms of quality control of ambiguity estimation, the common partial ambiguity fixation algorithm is improved, and the SC-PAR (Single frequency Combined Partial Ambiguity Resolution) algorithm is proposed. After the algorithm fails to fix the full ambiguity, it filters the ambiguity subset step by step according to the number of continuous satellite lock epochs, satellite elevation angle, satellite signal-to-noise ratio, geometric precision factor, ambiguity variance and ambiguity precision attenuation factor, and searches Optimal ambiguity subset. According to the R-ratio value and the success rate index, the search results are jointly tested, and the remaining subsets are corrected with the subsets that pass the test. The results show that compared with the FAR and conventional PAR algorithms, the fixed rate of the SC-PAR algorithm is increased by 65.01% and 27.97%, respectively, and the accuracy is also significantly improved.
Mathematical modeling of a new way of renal artery denervation
Authors: Makarov VN 
Published: December 2021

Abstract
The aim of the work is to create a new design of electrodes for renal denervation. In standard RFA systems, monopolar heating is most often used, by introducing an RF electrode inside the vessel. This approach leads to the need to interrupt blood flow during the procedure. In addition, the monopolar mode of operation requires the contact of the inserted electrode with the vessel walls, which greatly complicates the design of the electrode system. Point contact of the electrode system with the vessel can damage the inner walls of the artery. It is proposed to use a multi-electrode structure for external stimulation by creating a hollow cylindrical thermal field for effective treatment. It has been established that external heating will create the required thermal field without direct contact with the walls of the artery. The external arrangement of the electrodes makes it possible to regulate the temperature on the external surface of the vessel. With such heating, it is not necessary to block the blood flow, and due to the symmetry of the arrangement, continuous heating can be obtained without moving the electrodes during the procedure. Mathematical modeling confirms the possibility of vascular denervation during external heating.
Numerical Modeling of Climate (on Yakutia example)
Authors: Pomortsev O A , Kashkarov E P , Pomortseva A A 
Published: December 2021

Abstract
Numerical modeling of time series of observations of Yakutsk meteorological station was used for the first time to construct a model of heat and moisture climate variability over the course of a century cycle of solar activity (SA). The lag of precipitation relative to temperature for ¼ of the rhythmic wave was revealed. Consecutive change of climatic phases: cold-wet (CW) warm-wet (WW), cold-dry (CD) and warm-dry (WD) has been established. The nonlinearity of the solar-tropospheric relations at level of intra- and secular oscillations is confirmed. The trends and anomalies of climate changes and permafrost response for the next decades and the current century as a whole are determined.
Synthesis of a time-optimal control system for an extremal object
Authors: Pikina G.A. , Pashchenko F.F. , Pashchenko A.F. 
Published: December 2021

Abstract
The paper presents the derivation of the synthesis method for the algorithm of the time-optimal controller for a third order dynamic system. A model with an extreme second-order transient response with delay was adopted as an object of research. The constant speed actuator is represented by an integrator. The synthesis is based on using the Pontryagin’s maximum principle and describing the dynamics of a system in the state space using canonical variables. The verification of the correctness of the result obtained by the theorem of Feldbaum A.A. on the number of switchings of the direction of movement of the regulating body during the control interval has been executed. To calculate the canonical state variables, it is proposed to use the position of the regulator, the controlled value and the derivative calculated from its values, measured on real objects.
PGU-450 network heaters modes modelling with CCGT participation in regulating the electrical load in the heating mode
Authors: Arakelyan E K , Andryushin A V , Mezin S V , Yagupova Y Y 
Published: December 2021

Abstract
The features of a mathematical model for optimizing the distribution of heat and electricity at a large thermal power plant with a complex composition of equipment as part of traditional heating units and a heating CCGT are considered. The selection and justification of optimization criteria at different stages of preparation and entry of the station to the electricity and capacity market is given. The disadvantages of the previously proposed optimal distribution algorithms are analyzed in relation to thermal power plants with a complex composition of equipment and with a complex scheme for the supply of electricity and heat. A method and algorithm for solving the problem are proposed based on the equivalence of the CHP equipment and the decomposition of the problem taking into account the schemes of electricity and heat output. The description of mathematical optimization methods is given, taking into account the peculiarities of the CCGT operating modes at reduced loads. The requirements for information support when integrating the developed algorithm into the application software of the automated process control system based on the PTC are given.
Ensemble kalman filter and particle filter-based state estimation on electrical power systems
Authors: Cevallos Holger , Intriago Gabriel , Plaza Douglas 
Published: December 2021

Abstract
In this article, a referential study of the sequential importance sampling particle filter with a systematic resampling and the ensemble Kalman filter is provided to estimate the dynamic states of several synchronous machines connected to a modified 14-bus test case, when a balanced three-phase fault is applied at a bus bar near one of the generators. Both are supported by Monte Carlo simulations with practical noise and model uncertainty considerations. Such simulations were carried out in MATLAB by the Power System Toolbox, whereas the evaluation of the Particle Filter and the Ensemble Kalman Filter by script files developed inside the toolbox. The results obtained show that the particle filter has higher accuracy and more robustness to measurement and model noise than the ensemble Kalman filter, which helps support the feasibility of the method for dynamic state estimation applications.
Estimation of the trajectory of magnetic nanoparticles in non-newtonian vascular fluid with cancer through neuronal networks
Authors: Contreras Israel Esteban , Barragán Diego Alejandro , Camargo Luz Helena 
Published: December 2021

Abstract
Treatments to combat cancer seek to reach specific regions to ensure maximum efficiency and reduce the possible adverse effects that occur in the treatment. One of these strategies include the treatment with magnetic nanoparticles (NPM), which has presented promising results, however, aspects involved in the trajectory of the nanoparticles are not yet known. The aim of this work is estimating the behavior of NPM through supervised neural networks, for this, artificial neural networks were implemented, such as multilayer perceptron, with optimization algorithms in which the Levenberg Marquardt algorithm stands out, different trajectories of NPM were simulated, including parameters such as time, position in X and Y, the speed that the nanoparticles can reach and physical factors that interact in the distribution were considered, such as the gravitational field, the magnetic field, the Stokes force, the force of pushing and dragging with different values of viscosity in the blood, generating a database with optimized reaction times that allows a more accurate prediction. The architecture obtained with the artificial neural the network that contains the optimization algorithm [5 4 3 2], presented the best performance with a training MSE of 1.763E-07, a validation uRMSE of 0.0049, and trend probabilities of X 0.62 % and 0.576 % in Y.