bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Optimization of Boiler Air Distribution System based on Deep Neural Network
Authors: Yuan Jun , Ren Xinyu , Xie Yingbai , Li Zhichao 
Published: November 2020

Abstract
The boiler air distribution system has an important influence on the stable operation of the thermal power unit. It directly affects the combustion efficiency, which in turn affects NOx emission of the boiler. However, boiler efficiency and NOX emission are a pair of contradictory goals, which will be one-sided if one is adjusted separately. In addition, thermal power units often face the impact of variable boundary conditions in operation. In this study, DNN-PSO modeling optimization was performed on air distribution system of a 1000MW double-tangential boiler. The deep neural network (DNN)is used to establish the boiler’s air distribution system model, and the particle swarm optimization algorithm (PSO) is used to optimize the opening of the secondary air baffle and the over fire air baffle. According to the on-site adjustment test based on the optimized guidance value, the NOX emission was reduced by 36.31mg/Nm3, and the boiler efficiency was increased by 0.09%, which proved the feasibility of using this model to guide the operation of the boiler air distribution system.
Measurement of Train Rim Thickness by Machine Learning
Authors: Song Bing , Wei Haiping , Cao Yu , Cheng Xu , Guo Xiwang 
Published: November 2020

Abstract
The train wheel rim thickness is always manually measured by using handheld devices or in a non-contact way by using laser and image techniques. To reduce the operating costs, this work studied some soft measurement methods with classical machine learning algorithms including neural network (NN), locally weighted linear regression (LWLR), and support vector machine (SVM). By analyzing the correlation between features, it can improve the efficiency of the model. Some approaches were used to optimize the number of hidden layer neurons in NN, parameters in LWLR and SVM. Experiments on real data are conducted, and the results show that the proposed methods can ensure high precision and accuracy, while NN has the highest accuracy.
Overall Framework Design of Integrated Manufacturing Center of Underground Laser Rapid Prototyping for Aeroengine Components Based on Cloud Computing and Internet of Things
Authors: Lv Xiaodong 
Published: November 2020

Abstract
This paper displaces an antiaircraft defence multi component integrated aeroengine manufacturing system which is designed for fast supply and timely repair of aeroengine in wartime. The robust control architecture is based on the global control of cloud computing and super expansion of the neural terminals of the Internet of things by fog computing. In order to improve the purpose of the whole system, we set up a system which can produce a variety of aeroengine components by the fog computing node with high autonomy. This relatively independent production system can receive intermittent commands from the cloud processor. For most of the time, each relatively independent laser rapid manufacturing unit runs the manufacturing task in the weak command environment. It only needs to send a decision from the cloud processor on the model and quantity of the aeroengine to be produced, and mark the changed parts with special requirements. Command encapsulation and encryption are carried out at the interface of the middle layer, and then sent down to the physical layer and the fog computing layer to realize macro command decryption and the production sequence of this batch of aeroengine production tasks configured to different number of laser manufacturing units.
A Lattice Attribute-Based Encryption Scheme for Cloud Storage Based on R-LWE Problem
Authors: Lu Sa , Jiang Rui , Pei Bei , Wu Songyang 
Published: November 2020

Abstract
Attribute-Based Encryption (ABE) is generally applied on Cloud Storage to ensure the security and efficient access control of uploaded data. However, with the development of quantum computing, Diffie-Hellman Problem and Discrete Logarithm Problem, which all ABE scheme based on, have been solved. Therefore, anti-quantum ABE schemes become a research hotspot. However, current anti-quantum ABE schemes cannot make attribute revocation. In order to solve these problems, we propose a lattice attribute-based encryption scheme for cloud storage based on R-LWE problem (L-ABE). Firstly, we construct public/secret key pairs based on the hardness of Ring Learning with Error problem (R-LWE) to achieve quantum attack resistance effectively. Secondly, our scheme can achieve attribute revocation to ensure fine-grained access control. Finally, we prove that our scheme can resist chosen plaintext attack.
Research on the Construction Scheme of Jiangsu Taihu Intelligent Tunnel Based on Cloud Platform
Authors: Lu Yi , Liu Yuchen , Meng Chunlei , Wang Xinke 
Published: November 2020

Abstract
Taihu underwater tunnel in Jiangsu province is an ultra-long and ultra-wide tunnel, both longer and wider than the Hong Kong-Zhuhai-Macao bridge. It is worth discussing how to guarantee the safety of underwater tunnel, give play to the application of intelligent transportation, make travellers get all-round comfortable service and managers get economical and efficient management. Starting from the cloud platform and taking Taihu tunnel as the background, this paper analyses the status quo of the tunnel at home and abroad, draws lessons from experience, and studies the structure and functions of the construction scheme of Taihu intelligent tunnel from the perspective of “safety, comfort and economy”.
Smart Wireless Wearable ECG to Measure Heart Function
Authors: Mamunur Rashid Md , Bakar Siddique Abu , Zhang Zhou , Li Zeyu , Li Zhangyong 
Published: November 2020

AbstractHealthiness is one of the over-all contests for people. Modernized healthcare system is to furnish better healthcare services to human beings at any time, from somewhere and at any locations in a financial and pleasant manner: very beneficial and easy. By using mobile phone, healthcare device can be made on hand for all people, even for those dwelling in far-flung areas the usage of smartphone except a whole lot access to other kinds of communications. This proposed system graph is to measure and display essential ECG records for a correct description of fitness repute and fitness. Developments in exclusive wearable factors and assemblies, as nicely as in communication technological statistics have spread out for a new technological know-how of health care systems.
Analysis and Design of Intelligent Management and Control System for Relay Protection Based on Information Fusion Technology
Authors: Liu Yang , Zhu Wenqiang , Li Lisheng , Guo Jiang 
Published: November 2020

Abstract
Combined with the current problems of the large number of professional systems for relay protection and the inability to collaboratively share data. This paper analyzes the current application of relay protection information systems. Through analysis of four key relay protection systems including OCS (Operation Control System), Protection and Information System, Wave Recording System, and Traveling Wave System, the core technical parameters are sorted out, and the XML-based (Extensible Markup Language) data specification and model fusion method, introduced the overall architecture of the information fusion relay protection intelligent management and control system, and designed the application function of the intelligent management and control system to realize the information fusion and intercommunication of multi-source heterogeneous systems to improve Power grid coordinated control and emergency response capabilities.
Preliminary Analysis on Strategies of Experimental Design for Traditional Commercial Spaces in the Background of Internet Economy
Authors: Ma Hui , Zou Guangtian 
Published: November 2020

Abstract
Currently, the progress of economic globalization, informatization and networking is driven by the rapid development of the Internet economy. Advantages of the Internet economy such as low costs and high efficiency have resulted in a tremendous shock to traditional commerce, and a rapid decline in traditional retail. How to restrain such declining tendency? This paper has dissected discrepancies between Internet economy and traditional commerce, and their advantages and disadvantages are dissected in this paper, and the results emphasize that experience-based space designs must be applied to traditional commercial spaces in order to enhance the real experience of commodities. This paper presents how to make good experience-based space designs for traditional commerce under Internet economy, and puts forward experience-based design strategies from four aspects of situational participation, theme-based construction, personal experience of roles and emotional penetration. It is aimed at creating an experience-based commercial space with complementary advantages for online and offline commerce, integrated functions, diversified business patterns, and a comfortable consumption environment, as well as modern characteristics, through analysis and introduction of these four strategies.
Research of Virtual Reality Technology in Home Design
Authors: Phommaly Khamla , Yu Lasheng 
Published: November 2020

Abstract
This paper mainly discusses the application of virtual reality technology in home design. Through virtual reality technology, we can have more realistic experience and switch freely in each space, so that customers can feel the future home personally. Built by importing household design, real 3D model, combined with the virtual reality modelling language (VRML) generated with interactive link the prototype of the object, to quickly build furniture design based on the technology of web 3D virtual reality display system. System combined with rich interactive methods, adjust and contrast design, advance awareness the real effect of household is decorated, improve customer satisfaction; Combination scheme design, the system can also be used for virtual simulation practice. Engineering practice proved that the system development is simple, high efficiency and can greatly accelerate the household decoration engineering design schedule and save time cost, and has high value in engineering practice. This article provides a new Angle of view to parse the virtual reality technology in the application of home design
The Comparison Discussion on the Controlling Effect of Parasitic Accelerations Generated by Human Centrifuge by Different Controlling Methods
Authors: Li Yifeng , He Bin , Li Baohui , Jiang Ke , Wang Cong , Jin Zhao , Zhang Lihui , Wang Yi , Wei Xiaoyang , Wang Quan , Wang Haixia , Yang Jinghui 
Published: November 2020

Abstract
When simulating acceleration of pure Gz direction, when precision requirement of centrifuge Gz direction is provided, the max values of parasitic accelerations permitted to occur in other directions such as Gx, Gy directions are also provided in the meantime. The research is on account of motion pattern of three axial human centrifuge, introduces Euler recursion method and trapezoid method, designs computer simulations of different smoothing number of times and smoothing time on account of Euler recursion method and trapezoid method and compares simulation results, that is the controlling effects of parasitic accelerations generated by human centrifuge when making the simulation of pure Gz by the two controlling methods. Result shows: the two methods both can restrain the values of parasitic accelerations of x and y directions with effect, and torque demanded by system decreases after smoothing acceleration curves. Compared to Euler method, the computing amount of trapezoid method is larger, while the eliminating effect for parasitic accelerations is better, and it makes computing accuracy of result be higher. The study result can be as the important reference resource when selecting and researching controlling methods of the parasitic accelerations generated by human centrifuge.
Study on the Performance of Nuclear Security Basic System against Nuclear Electromagnetic Pulse
Authors: Cheng Jinxing , Wen Weiwei , Wu Youpeng , Wang Qingbo , Lu Xin , Chen Xianbo , Wu Yuhong , Fu Beihuang , Liu Qing , Qin Feng , Mao Congguang 
Published: November 2020

Abstract
With the extensive application of nuclear technology and the improvement of emergency forewarning level for nuclear terrorism, it is urgent to study the performance of nuclear security basic system against nuclear electromagnetic pulse. In this paper, a basic nuclear security system is designed, and the weak link of the nuclear electromagnetic pulse is analyzed and simulated. In addition, the weak link is tested through experiments. The theoretical analysis is in good agreement with the experimental results. The results of this paper can provide technical support for the reinforcement of nuclear security system against nuclear electromagnetic pulse.
Design and Implementation of Fully Integrated Automation Scheme Based on Heterogeneous Field-bus Network
Authors: Yan Xiaoling , Wang Liming , Yin Yang , Ouyang Jineng 
Published: November 2020

Abstract
In view of the current situation of coexistence of various fieldbus protocols, the paper presents an totally integrated automation scheme based on Ethernet. The Ethernet technology can integrate the information of different field devices in the enterprise, and realize the unified data management, communication, programming and configuration. The paper systematically expounds the concept of totally integrated automation, realize totally integrated automation scheme based on Ethernet communication technology by designing protocol conversion gateway and applying to serial server. The solution is very suitable for information integration in enterprise, as the information exchange is realized at the device level, and the hardware design costs low.
Research on the Control Method of UPS Inverter Circuit Considering Additional Filtering Branch
Authors: Liu Guofu , Liu Ximu , Wang Weiwei 
Published: November 2020

Abstract
Improving the electric power quality of the Uninterruptible Power Supply (UPS) is an important part of ensuring the reliability of the power system. In order to optimize the output voltage waveform of the UPS, a filtering branch can be added to the existing UPS inverter circuit. This paper studies the circuit control problem after adding the RLC filter branch in the UPS inverter circuit. Through the analysis of the inverter circuit directly considering the added filtering branch, the system state function of the circuit is constructed. A double closed-loop PI control strategy is designed to control the inverter circuit, and the effectiveness of the method is verified by simulation. Using the method in this paper, the output of the inverter circuit with the added filter branch can reach a stable state quickly. The research conclusions of this paper are helpful to improve the output power quality of UPS.
Reliability Assessment Method of Complex Electronic Equipment with Multivariate Competing Failure
Authors: Jia Zhanqiang , Yang Jianyong 
Published: November 2020

Abstract
This paper presents a generalized reliability assessment model for complex electronic equipment with multivariate competing failure. The key of multivariate competing failure model is separated into two parts, multi-degradation measure probability density function (MDM-PDF) and traumatic failure reliability function (TFRF) related to degradation level. Principal component analysis is used to solve the calculation problem of MDM-PDF; Logistic function and least square method are introduced to solve the problem of TFRF. Finally, a case study of sine-wave oscillation circuit is given to validate the effectiveness of the model.
Generalization of Convolutional Neural Networks for Searching for O-Star Spectra Using Generative Adversarial Networks
Authors: Zheng Zipeng , Qiu Bo 
Published: November 2020

Abstract
In the stellar spectral data released by LAMSOT, the O-star spectrum is very rare, and the total amount of O-star spectra that can be utilized is only 156. We recommend generating a simulated real spectrum to overcome the above limitations. Using the real O-star spectrum as the model spectral image, we propose a one-dimensional spectral generation confrontation network (1D SGAN) to create artificial spectra based on real data sets. We use a combination of real and artificial spectra to train a one-dimensional convolutional neural network (1D CNN) to create a classifier that classifies the stellar spectra into seven categories. We demonstrate that using the proposed balanced data set with 1D SGAN generated images improves the performance of the 1D CNN classifier compared to the same 1D CNN trained with only the original data set.
Soft Sensor Simulation of Minimum Energy Consumption of Joint Manipulator Drive System Based on Improved BP Neural Network
Authors: Ding Yunpeng , Zhu Xuejun , Sun Xuqiang , Zhang Ji , Chen Xu 
Published: November 2020

Abstract
The energy dissipation level of articulated mechanical arms directly affects the control stability of industrial robot systems. For a six-degree-of-freedom articulated robot driven by a DC servo motor and reduction gear, based on the Hamiltonian and Minimum theories, a model of the articulated manipulator drive system under load torque is established, and the expressions of optimal angular velocity and control current are obtained considering the viscous friction and coulomb factors. According to the analysis of actual parameter simulation experiments, it can be seen that the energy consumption of the joint manipulator drive system increases with the decrease of efficiency, the increase of the coulomb friction torque of the servo motor, and the increase of the load torque. Within the transit time, the total energy consumption of the drive system is smaller, so it is very important to obtain the transit time within the optimal area for the minimum energy consumption of the joint robotic arm drive system. At the same time, a soft neural network model based on the improved BP neural network built on the neural network toolbox for the energy consumption of the articulated mechanical arm is established. Finally, the experimental platform of servo motor drive system is built and used for the experiment of servo motor drive, and the purpose of closed-loop control is also achieved. Through experimental analysis, it can be seen that the proposed soft sensor model of joint minimum energy consumption based on improved BP neural network can more accurately realize the energy consumption prediction under unknown angular displacement and unknown load, and provide a theoretical basis for joint energy monitoring.
Study on Laminated Bus Bar for High-pulse Power Converter Module
Authors: Yin Binchuan , Du Litian , Peng Junrong 
Published: November 2020

Abstract
Aiming at the problems of high switching overvoltage of power semiconductor devices and unbalanced current of parallel power devices in high-pulse power converters, this paper proposes a laminated bus bar of symmetrical path on the basis of the theoretical analysis and key points of laminated bus bar. The finite element simulation software was used to analyze the stray inductance of laminated bus bars. The actual stray inductance and overvoltage of the converter commutation circuit were measured by single pulse experiment. The results show that the laminated bus bar of symmetrical path can effectively reduce stray inductance, suppress switching impulse overvoltage and improve the current balance of the parallel power devices. It is of great significance to analyze the performance of laminated bus bar of symmetrical path, and it can be used for high-pulse power conversion technologies.
Communication Specific Emitter Identification Based on Transfer Learning
Authors: Liu Hui , Hu Pengjiang , Liu Zhen 
Published: November 2020

Abstract
In the application of specific communication emitter identification(CSEI), the emitter slight features will change along with different times, places and conditions, which makes training samples and test samples obey different distribution and makes most machine learning algorithms not work well. To solve this problem, this paper introduced transfer learning to CSEI. Compared with traditional machine learning, transfer learning does not relax the assumption that the data is independent and distributed. It can explore useful knowledge from the data which is different from the target domain but similar to the source domain. It can also learn the classifier when the labeled samples in the same domain are insufficient. Extensive experiments show the effectiveness of the new method.
Inertial Navigation Method of Spacecraft Based on Geodesic Deviation Equation
Authors: He Zhenni , Fei Baojun , Du Jian 
Published: November 2020

Abstract
A new method of spacecraft inertial navigation is proposed in paper. The method uses the earth gravitational field model and the on-board accelerometer to measure data, so the real-time deviation of the spacecraft relative to the geodetic orbit is calculated. Based on the post-Newtonian approximate gravity theory of general relativity, the high precision geodesic deviation equation around the earth is derived, and the equation of the spacecraft relative to the geodesic orbit is transformed into orbital element space. The position of the spacecraft is determined by calculating the deviation between the spacecraft and the nearest geodetic orbit. Because the reference points are selected different in the adjacent following inertia system during navigation, the accumulation error of the traditional inertial navigation is avoided, and the navigation precision can be effectively improved.
The Strategy of Personal Customization and Method of Collecting Professional Dynamic Information
Authors: Li Bohan , Cai Yongxiang , Deng Shuying , He Zongyi 
Published: November 2020

Abstract
The need for personal customization in professional dynamic information collection requires crawling information that is published within specified time durations, extracting accurate and interest-focused information, and assuring the completeness of the information. By combining the technology of jsoup and Lucene as well as the extensibility research on Heritrix, this paper proposes a set of personal customization strategies and methods for professional dynamic information collection: analyze the composition of the URL link to filter out information beyond a specified time window according to different URL types; set up different cleaning templates to extract the attribute items for different styles of websites; establish user personalization blacklist to filter out the information with poor relevance to user interests; apply correction function to improve the robustness of the crawler and guarantee the completeness of the information. Using the collection part of the Dynamic Information Collecting System of Oil and Gas Resources project as a case verification, the results show that the strategies and methods can be used to achieve the three objectives: timeliness; accuracy and interest-focus; and completeness. The proposed strategies and methods may be applied to the construction of an industrial dynamic information collection system.
Quality Analysis and Research of Charging Facilities for Electric Vehicles
Authors: Wang Jiaojiao , Wei Qianqian , Li Chuan , Li Yang 
Published: November 2020

Abstract
With the development of new energy vehicles in recent years charging infrastructure industry is also in rapid development. In this study, to analyzethe the quality of charging infrastructure in its service life cycle, enterprises of charging facilities were visited and charging stations were researched on-site.This study also analysed the evaluation system, discussed the limiting factors in the process of charging infrastructure development.In this study, the quality development direction of future charging infrastructure is defined, and data support is provided for the high-quality development of charging infrastructure.