bluuebunny/crossref_metadata_2025_split huggingface dataset:
Graphical Tool for Positioning of Triads in Mechanisms
Authors: Antonya Csaba 
Published: November 2020

Abstract
The position of a triad (Assur group of class 3 and order 3) in a planar mechanism requires the computation of three parameters of the composing links. This can be obtained with analytical of graphical solutions. In this paper a graphical (or geometrical) solution is proposed, in which several 3D surfaces are generated with the geometrical parameters of the triad. The intersections of these surfaces will generate 3D curves and the solution of the problem will be the coordinates of a point at the intersection of a curve and a surface. This method can be applied regardless of the type of pairs in the triad. The advantage of the proposed geometrical method is that it offers a quick observable design of complex mechanisms in the analysis and synthesis process.
Forecast Method of Track Irregularity of Heavy-haul Railway Based on BP Neural Network
Authors: Zhang Jinchuan , Tian Huadong 
Published: November 2020

Abstract
The track irregularity is an important factor for the transport safety of heavy-haul railway. Limited by the technique of data mining and analysis, the data obtained by rail inspection vehicles cannot fully identify the status of track irregularity. In this paper, based on the characteristics of track irregularity, the BP neural network is used to predict the geometric irregularity parameters of heavy-haul railway tracks, identify the status of track irregularity, and provide support for the decision-making of maintenance strategy. In order to further verify the accuracy of the BP neural network, the single and double hidden layer networks are established to predict 20 sets of the 7 indicators of track irregularity. According to the prediction results, the mean square errors of the single and double hidden layer networks are 0.064 and 0.051, respectively. The result shows that the multi-hidden layer BP neural network has higher accuracy, which provides a new idea for the research on the prediction model of track irregularity.
Interface Design for the Command-control Module Based on Adaptive Interaction Technology
Authors: Zhu Shuai , Qu Jue , Wang Wei , Zhao Minrui , Chen Long 
Published: November 2020

Abstract
Firstly, the concepts of three adaptive modes are introduced, and the experiment for the interface layout based on the adaptive adjustment interaction is designed, in which the speed of information identification of other 8 regions is sorted under the condition of interference of the intermediate region with fixed constraints. An adaptive interaction experiment of state monitoring parameter interface is designed, and the following conclusions are obtained: Compared with the original chart monitoring interface, the dimensionless and normalized graphical parameter interface can effectively shorten the time to discover abnormal parameters and improve the accuracy rate.
Prediction of Carbon Content in Fly Ash in Ultra Supercritical Generation Unit with Long Short-term Memory Neural Network
Authors: Yuan Jun , Chen Jiayi , Xie Yingbai , Wu Wanting 
Published: November 2020

Abstract
The accurate measurement of carbon content in fly ash is the basis of improving the thermal conversion efficiency of boiler and reducing the coal consumption of power generation. Based on the operation data of 1000MW Ultra-supercritical Unit in a thermal power plant, the input parameters of the model were selected by correlation analysis. The Long Short-Term Memory neural network (LSTM) was used to establish a prediction model with the boiler operation parameters as the input and the carbon content of the boiler fly ash as the output. According to the actual operation data of the unit, the prediction performance of the model was trained and tested. The simulation results show that the average prediction error of the LSTM model is 2.8136%, and 86% of the total samples are data with error less than 4.5%, which means it has high accuracy and strong generalization ability.
Research of Tunnel Full Band FM Broadcast Application
Authors: Wang Xinke , Hao Liang , Cai Lei , Lei Lingyu 
Published: November 2020

Abstract
The paper analyzes the advantages and disadvantages of the existing information service methods in the tunnel, and proposes the use of full-band FM broadcast for emergency information release. It can also cooperate with other systems to achieve integrated information release. This achievement forwards FM signals outside the tunnel in daily situations, and uses full-band FM to implement emergency information insertion in emergency situations, which not only improves the daily information service level but also implements the function of emergency warning, and effectively improves the level of tunnel safety.
Design on Deployment of Microservices on Container-based Cloud Platform
Authors: Cao Jiqing 
Published: November 2020

Abstract
The resource allocation and monitoring functions provided by container technology can meet the independent deployment principle of microservices and support the rapid deployment of microservices. The deployment of microservices on container-based cloud platform can realize the automatic deployment and continuous integration of DevOps, thus improving the efficiency of application development and maintenance. This paper designs the deployment process of microservices on the cloud platform based on container, including the construction of image, several optimization schemes to reduce the size of image, image management, container orchestration and other activities, which further simplifies the deployment process and can provide useful reference for enterprise practice.
Research on Non - contact Electromagnetic Loading Device for Water - lubricated Bearing
Authors: Yuan Zhe , Wang Nan , Wang Peng , Liang Yingxuan , Yue Xiaokui 
Published: November 2020

Abstract
In order to deeply study the characteristics of water-lubricated bearing under load condition, a non-contact electromagnetic loading device is designed to solve the problems of friction, vibration and noise in the traditional contact loading methods such as hydraulic cylinder and weight, etc. The device consists of loading plate, E magnets, coil, programmable dc power supply, first of all, is derived by Maxwell’s three laws of the theoretical equation of electromagnetic force, and then, application of Solidworks, Ansoft Maxwell 18.2 software modeling and simulation of electromagnetic loading device structure, the final will be the electromagnetic simulation, comparing the theoretical results, the results show that the simulation and the theoretical value is less than 11.4%, validate the rationality and accuracy of the device.
A Waveform Conversion Circuit Design Used for Square Wave to Sine Wave
Authors: Yang Mingqi , Li Lixin , Yan Shubin , Wu Xiushan 
Published: November 2020

Abstract
As an efficient passive filter, elliptical filter can be used in the waveform conversion module of closed-loop self-excitation circuit based on infrared detectors with steep transition band. In this article, the elliptical filter is designed and used to transform rectangle wave to sine wave by the Advanced Design System (ADS) 2015. After setting the parameters and calculation, the elliptical low-pass filter of seventh-order whose pass band is 0-10.2kHz, ripple in the band is less than 0.3dB and signal suppression is 42.8dB with two notch points. Through the comparison with the fifth-order and seventh-order elliptical low-pass filters, the relationship between the orders is understood, and the requirement of waveform transformation is realized.
Automatic Pig’s Maternal Ability Evaluation System Based on Behavior Data of Sensor
Authors: Liu Jie , Shi Chong , Sun Guangmin , Ma Pan 
Published: November 2020

Abstract
The high-risk behaviour of pigs from standing, sitting to lying and grovelling is the main reason that the piglets are always crushed to death. This paper conducts research based on the field of classification and recognition of pig behaviours by using triaxial acceleration sensor, which can evaluate the maternal ability of pigs and provide data basis for selecting high quality breeding pigs. Aiming at the problem of low data variability and small data range due to the small-scale activity of the pigs, which can cause poor classification accuracy. This paper first performs moving average filter processing on the x, y, and z-axis data collected by the triaxial acceleration sensor. After feature extraction and feature selection, an optimal feature subset is proposed. Experiments show that by adopting the optimal feature subset proposed, the random forest classifier adopted can classify and evaluate four basic behaviours of pigs in daily life better. The accuracy on the test set reaches 93.8%. Compared with decision tree and BP neural network, the AUC value of random forest reaches 0.957, which has obvious performance advantages. Finally, this paper also proposed an evaluation model of maternal ability for pigs and adopted maternal ability index to evaluate the maternal ability of the pigs according to the classification results.
On General Conditions for Uniqueness and Robustness of Structured Matrix Signal Reconstruction
Authors: Tian Yuan , Huang Xin 
Published: November 2020

Abstract
This paper investigates the problem of reconstructing n-by-n structured matrix signal via convex optimization. The traditional vector signal model is extended to matrix signal model. We establish fundamental conditions on the measurement operator to guarantee strong properties of sparse and flat matrix signal reconstruction from noisy measurements, i.e., conditions to guarantee uniqueness, support and sign stability as well as value-error robustness. In comparison with other works, these conditions are more general and our method is more suitable to be generalized to dealing with high-order tensor signals. These theoretical results, together with the auxiliary results in the argument, are heuristic for developing more effective algorithms in, e.g., wide-band communications and related signal processing applications.
A Design Method of Image Sonar
Authors: Qiu Qianbao 
Published: November 2020

Abstract
By analyzing the underwater high-speed target tracking and positioning, image sonar was determined as the solution. An image sonar system is constructed. According to the functions of each part of the image sonar, the transducer array, receiver, transmitter and image generation signal processing software are designed. According to the difficulties in the construction of the image sonar system, emphatically introduces the design of the transducer array and receiver. According to the principle of image sonar, designed by 128 piezoelectric ceramic elements joining together, form a circular receiving transducer array. The characteristics of image sonar receiver are multi-channel synchronous receiving and acquisition, high frequency and large amount of data. According to these characteristics, the analog front-end chip and FPGA are adopted as the core for the design. It realizes signal synchronous acquisition, orthogonal filtering, storage and Gigabit Ethernet communication functions. A computer platform is used for beamforming signal processing. It implements data read, phase-shift beamforming and matched filtering, and other functions. By integrating the above hardware and software functions, an underwater high-speed target tracking and positioning systemis formed.
Design and Application of Phased Array Ultrasonic Guided Wave Transducer for Detecting the Anchor Bolts
Authors: Jiang Haibo , Yue Xianqiang , Gao Chao , Ma Junpeng , Li Yuke 
Published: November 2020

Abstract
To achieve the defect testing of anchor bolts and other buried anchor bolt systems, a phased array ultrasonic guided wave transducer was designed in this paper. By designing the transducer array type, number of array elements, frequency, chip size and scanning mode, it can effectively avoid the interference of thread reflection signals, improve the signal-to-noise ratio and reliability of defect detection results. The transducer was verified by experiment of simulation sample.
Analysis and Optimization of Real-time Performance of High-speed Train Communication Network
Authors: Xie Yufei , Wen Xiaoyan 
Published: November 2020

Abstract
With the expansion of the scale of network system, the structure of high-speed railway train is more and more complex. The problems of real-time and reliability of network need to be solved. In this paper, aiming at the traditional train network communication mechanism, multi-objective particle swarm optimization algorithm is used to optimize the network design. The real-time performance of the network before and after optimization is simulated by OPNET. The experimental results show that the optimization algorithm in this paper can improve the real-time performance and reliability of the network.
Research on Correlation between Ubiquitous Telecommunication Data and Earthquake Intensity
Authors: Han Wanjiang , Jiang Lixin , Zou Di , Nie Jiaqi , Jin Xin , Gong Feifei , Chen Shuwen 
Published: November 2020

Abstract
Based on a large number of literatures and reports, this paper takes communication systems in lifeline engineering as an example, collects as many disaster-related communication data as possible to form a training data set, and analyzes the relationship between disaster-related telecommunications data and earthquake intensity. Then, use visual means to preprocess the collected data set. This paper uses different classification algorithms in machine learning, such as Naive Bayes, K-nearest neighbors, logistic regression and support vector machines for classification training of the formed data set. Optimize it, and finally it proposes a reference model that can be used to predict earthquake intensity. Finally, experiments show that the model has good accuracy.
Analysis of the Application of IT Information Platform Interconnection in Charging Infrastructure
Authors: Li Yang , Wang Jiaojiao , Li Xiao , Chen He , Li Chuan , Li Jin 
Published: November 2020

Abstract
With the continuous formulation and promulgation of national policy system documents, the rapid development of new energy electric vehicle production and manufacturing, and the IT informatization integration of charging infrastructure industry have become a comprehensive carrier supporting industry information, technology and services. In view of the interconnection of different levels of information and data, it is bound to give full play to its unique information value. This paper analyzes the application of informatization through informatization, interconnection, security, big data integration and other aspects, combined with the current industry development background and status quo, in order to support the informatization development of charging infrastructure industry, realize the application of high-tech information, drive the industry system forward and improve the informatization platform.
Research on Construct Scenario-Response Emergency Model of Dam Break
Authors: Lu Xiang , Peng Xufu , Du Shuangyun 
Published: November 2020

Abstract
Scientific prediction and prevention of unexpected events are the key issues in emergency treatment. To tackle this problem, according to the common characteristics of dams collapsing, environmental pollution and other unexpected events with energy release, based on the idea of “Scenario-Response” and by constructing the physical model of the dam-break event. To analyzing the various reasons and the principle of disaster of the emergencies, and constructing mathematical intelligent prediction model based on the analysis of the factors in physical model, then analyzing the degree of control caused by the disaster factors through the mathematical intelligent prediction model, at last, proposed a prediction calculation formula for the emergency. Extensive simulation on the Jingjiang section of the Yangtze River realized the scientifically prediction method of dam-break event, and well solved the problem of the prediction and prevention scientifically for the emergency with energy release.
Discussion on the Concept and Model of New Retail Energy Finance
Authors: Chang Yan , Zhu Wenhao 
Published: November 2020

Abstract
The development of intelligent and automated information technologies such as 5G and blockchain has provided development conditions for new retails in energy finance. At present, State Grid Corporation of China is vigorously promotes the construction of ubiquitous power Internet of Things, and takes the function of revitalizing the power supply business hall and the innovative side-by-side service mode of electricity generation as the starting point to create a new “hub-type, platform-type, shared-type” energy finance retail business. But however, the current concept of new retail energy finance is still unclear, and the plan is still unclear. Through a large number of capital collections, research and interviews, the project team discussed the concept, necessity and mode of the new energy retailing retail for reference!
Discussion on Application of Parallel Compensation Resonance Technology in AC Withstand Voltage
Authors: Zhao Faqiang , Kun Zhou , Liu Xiuxiong , Li Yuting , Duan Yujie 
Published: November 2020

Abstract
Preliminary exploration of the application of parallel compensation resonance technology in AC withstand voltage. Using the most commonly used power frequency AC withstand voltage method in daily electrical tests, a compensation capacitor and a compensation reactor are connected in parallel on a large capacitance sample, and the capacitance value in the circuit is adjusted by adjusting the value of the compensation capacitor and the compensation reactor When the inductance value is equal to or close to equal, the test power supply and test equipment can input a higher AC voltage under the condition of small capacity, thus completing the AC withstand voltage test of the high-voltage and large-capacity test samples.
Research on Distributed Photovoltaic Power Station Builders Segmentation Based on Data Mining
Authors: Yang Ke , Wang Hejian , Wang Junsheng , Chen Shaozhen 
Published: November 2020

Abstract
Simply according to the investment scale of distributed photovoltaic power station builders, the subdivision of the builder fails to fully consider their potential value, thus underestimating the contribution of the builder to the e-commerce platform. This paper constructs the value index evaluation system of the distributed photovoltaic power station from the current value and potential value of the builders. Based on the objective data of the builders and the clustering algorithm, this paper establishes a two-dimensional subdivision model of the builders based on the current value and potential value of the builders. This paper proposes specific marketing strategies for the value characteristics of each type of builders, which provides a scientific basis for e-commerce platform marketing decisions.
Design of Distributed Intelligent Terminal System of Electric Distribution Network Based on Blockchain Technology
Authors: Zhen Zijing , Liu Zhu , Wang Limin , Li Wenjing , Song Zehua , Zhang Wei 
Published: November 2020

Abstract
With the construction of the energy internet and the maturity of the electric Internet of Things technology, intelligent terminal products in the distribution network are widely used in power system. Under the existing architecture of distribution IoT network, the access of large number of intelligent terminals will bring problems such as over-centralization and data security. In response to these problems, this paper proposed a distributed intelligent terminal system of distribution network based on blockchain technology, illustrated the overall architecture of the system, and analyzed the necessity of adopting the distributed intelligent terminal system. The system’s operating mechanism was showed combined with a specific case, and the technical solution was elaborated. Finally, the advantages and limitations of the system were discussed, and the integration of blockchain technology and power IoT technology was prospected.
Detection System of Switch Power Supply Based on DSP
Authors: Hou Yunhai , Gao Jiaze , Zhang Huawen 
Published: November 2020

Abstract
The power supply of electronic equipment is significant and have important function in electronic field. In this paper, a detection system of switch power supply based on DSP is introduced. The system can detect the duty-ratio of capacity value, inductance value, resistance value,output voltage value,diode voltage drop and current pulse-width modulation chip on PCB of switch power supply. Consequently, it finishes the real-time detection on PCB and it is significant to research the fault analysis of switch power supply. The schematic diagram and the outside circuit schematic diagram based on DSP is given in the paper. In the meanwhile, the system accomplishes the data selecting and setting of lower computer by using LabVIEW upper computer. The system has the universality to electrical industry.
Based on PowerMill and K2X8 Five Axis CNC Machine of Realization of Integral Impeller Machining
Authors: Ye Xuanlin , Zhang Wu , Zou Zou , Xu Lianjiang 
Published: November 2020

Abstract
Based on the powermill2019 software platform, taking the integral shunt impeller as an example, this paper analyzes the overall structure characteristics and machining difficulties of the integral shunt impeller, reasonably formulates the NC machining process plan, and uses the powermill2019 impeller machining module to plan the tool path, so as to generate the tool path file, and verifies the correctness of the tool path by simulation machining. Through the special post processor of powermill2019 five axis machining center, the NC program of integral shunt impeller is generated and uploaded to k2x8 five axis CNCmachining center to complete the actual processing of integral shunt impeller. Through the inspection of impeller, the results show that the impeller fully meets the design and use requirements.
Trips Analysis of Swimming Crab Gillnets Based on Vessel Monitoring System
Authors: Zhang Shengmao , Fan Wei , Wu Zuli , Zhu Wenbin , Pei Kaiyang 
Published: November 2020

Abstract
Gill net is an important traditional fishing net, which has the largest number in China. It is accounting for one third of the total vessel number. More than 60000 Chinese fishing vessels were equipped with Beidou terminals. They are similar to the VMS (Vessel monitoring system) system in the world. It can send information of time, speed, course and position of fishing boat. Its time and space resolution are high. The trajectories of fishing vessels are curved lines, and port area is plane. There is a spatial relationship between them. In this paper, the relationship between trajectories of fishing vessels and port surface is used to extract 15000 voyages of 56 fishing vessels. 16.91% of them had a voyage within one day. The fishing vessels with long trips come from Shengsi, Taizhou, Sanmen and Linhai. The trips of fishing vessel were concentrated in Shengsi, accounting for 84% of the total, and Taizhou accounted for 5.4%. The other port only had 10 to 40 vessel trips.