bluuebunny/crossref_metadata_2025 huggingface dataset:
A channel estimation method for wireless communication in HPLC&RF dual mode system
Authors: Zhang Chunling , Wang Dan , Wang Wenhua
Published: January 2021

With application of high-speed power line carrier communication (HPLC), some problems are emerging such as network outliers, low success rate of power outage reporting and short single hop communication distance. Wireless communication (RF) can effectively solve these problems and thus become an effective complement to HPLC. For OFDM based wireless communication in HPLC&RF dual mode system, a channel estimation method is proposed. Compared with LTF-based and pilot-based channel estimation methods applicable to cases with few and multiple physical layer load symbols respectively, the proposed method can be applied in all cases. When the number of symbols is small, it outperforms pilot-based method by 2~3 dB and is still better than LTF-based method. When the number of symbols is large, it outperforms LTF-based method by 2~5 dB and still better than pilot-based method.
A modified estimation method of GLONASS inter-frequency bias for RTK based on short baseline
Authors: Lu Yi , Xiao Zhibin , Ni Shaojie
Published: January 2021

Different from other satellite systems, GLONASS adopts frequency-division multiple access (FCMA) technology to distinguish satellites, which directly leads to frequency deviation during signal receiving. Additionally, carrier phase inter-frequency bias (IFB) between different types of receivers are usually not zero, hindering the ambiguity resolution and thus limits the positioning accuracy. To solve this problem, a new estimating method of GLONASS ambiguity is proposed in this paper. According to the variation range of frequency deviation rate, the influence of phase IFB on ambiguity was removed by using searching method and quadratic linear model, thus reducing phase IFB estimating problem to an optimizing one. Feasibility of the method was verified using zero baseline data. Results show that the method can guarantee the reliability of RTK solution effectively.
A Survey on Geographic location routing and forwarding strategies of VANET and WSN based on NDN
Authors: Hou Saifeng , Hu Yuxiang , Tian Le
Published: January 2021

Named-data Network (NDN) is a new network architecture, and its purpose is to achieve network architecture from the host-centric to the data-centric. NDN uses the data name of the application to communicate directly. Since the data name is defined by the application and unrelated to the connection, it relieves the need for IP address configuration, so as long as the physical connection exists, data exchange can occur. The NDN-based forwarding mechanism is very important for effective communication in Vechicle Ad-hoc Network (VANET) and Wireless Sensor Network (WSN). Location-based routing and forwarding utilizes the location information of neighboring nodes or destination nodes to improve the efficiency of routing search. The paper mainly discusses the geographical routing and forwarding strategies of NDN-based VANET and WSN and the existing problems, and proposes future challenges for NDN routing and forwarding.
Design of spike voltage generation system for tank gun ammunition setting test
Authors: Huang Hu , Li Haojie , Zhang Xuhuan , Feng Yue
Published: January 2021

In order to test the voltage spike interference of the tank gun ammunition setter, a spike voltage generation system is designed in this paper. The system adopts rectifier filter and series voltage stabilizing circuit, combined with single chip microcomputer control circuit, and converts 220V, 50HZ alternating current into spike voltage through post-stage RLC series circuit, and studies the influence of post-stage circuit inductance value on spike voltage rise time. Theoretical calculations and simulations verify that the system can generate spike voltages that comply with GJB298-87, which is of great significance to the test of voltage spike interference of tank artillery ammunition mounters and other military vehicle electronic equipment.
HSI Denoising: Global Non-Location Low-Rank Factorization and Sparse Factorization Based on Iteratively Boost Method
Authors: Yan Hao
Published: January 2021

This study proposes global and non-location low-rank factorization and sparse factorization based on iteratively boost (GNS-ITboost) scheme from the perspective of the iteration method to improve Hyperspectral image (HSI) denoising results. First, this study establishes a novel iterative boost method by jointing global low-rank factorization, non-location low-rank factorization and sparse factorization to HSI denoising. Second, we propose the non-convex method, weight schatten p-norm method to more effectively approximate the rank function to obtain better non-location low-rank factorization. Third, this study provides a new noise estimation method by prior knowledge to accelerate obtaining a better denoising effect. Finally, proximal alternating minimization and weight sparse ideas are used to obtain the solution of denoising optimization problems. Furmore, evaluation results indicate that the proposed method can outperform the state-of-the-art methods in terms of FastHyDe, GLF, LRMR, SNLRSF, SSTV.
Spatial-Time Complementary Coding Signal Design for RadCom System
Authors: Zhang Chen , Yang Jin
Published: January 2021

Sharing signal design is an important challenge in radar communication integrated (RadCom) system. In this paper, a spatial-time complementary coding signal design method is proposed. Coding signal generation, radar receive processing and communication receive processing are presented sequentially. Numerical simulation results show that the proposed method achieves better sidelobe reduction than ordinary random coding signals.
Informatization Strategies of Education and Teaching Management in the Era of Cloud Computing and Big Data
Authors: Xiaona Ma
Published: January 2021

In the era of cloud computing and big data, the integrated processing of information and data has become the trend of various industries. College education and teaching management should be actively innovated and optimized, change traditional models and methods, build education and teaching management system, and improve management level. Based on this, this article will analyze the importance of the informatization of education and teaching management in the era of cloud computing and big data, and propose ways to construct the informatization of education and teaching management to help the relevant.
Personalized Recommendation Algorithm for books and its implementation
Authors: Chun-mei Li , yi-han Ma , Wei Pi , Yan Qi , Jie-teng Jiang , Shuo Dong
Published: January 2021

In recent years, with the completion of the new library of Qinghai University, the collection of books in the library has greatly increased. The library has a total collection of 880,000 volumes, covering a dozen disciplines such as science, engineering, agriculture, literature, history, economics, philosophy, law, education, management and medicine. It is difficult for users to find the books they are interested in among the numerous materials. Based on the actual situation of the library of Qinghai University, the differences of different professional users and their personal interests, this paper chooses the item-based collaborative filtering algorithm to realize personalized recommendation. First of all, in the calculation of book similarity, the traditional user score data is not chosen to calculate the similarity, but to calculate the similarity between books and books according to the feature vector of book name. Secondly, in order to avoid the problem of cold start, the system recommends the users who have no borrowing record, but the most borrowed books in their department. The combination of the two realized the personalized recommendation of books. By comparing with other traditional recommendation algorithms, it is found that the algorithm adopted in this paper has better recommendation effect.
Harbor Ship Detection Based on Channel Weighting and Spatial Information Fusion
Authors: Zhou Quancheng , Song Fei , Chen Zhenghao , Zhang Rui , Jiang Ping , Lei Tao
Published: January 2021

Aiming at the problems of false alarms and missed detection caused by large differences among ship types and complex background in harbor remote sensing images, a robust single-stage ship detection method is proposed. First, a Channel Weighting Mechanism is devised, which self-learns the weights of different channel to enhance valid features in channel dimension. Second, a Spatial Information Fusion Module is designed to enhance features in spatial dimension, which extracts more information of ship appearance from shallow feature maps, then excavates potential contextual information in deep semantic features. Finally, to promote the detection ability of ships of various scales, a Multi-stage Weighted Fusion Pyramid is applied to optimize the fusion of high-stage features and low-stage features. Extensive experiments conducted on self-established dataset for harbor ships show that the proposed method provides the performance by 3.08%mAP compared to RetinaNet.
A wireless network detection and control system for intelligent agricultural greenhouses based on NB-IOT technology
Authors: Ye Haitao , Yang Yongjie , Zhu Linyu
Published: January 2021

In order to reduce unnecessary labor input in agriculture and maximize production efficiency, a NB-IoT technology based wireless network detection system for intelligent agricultural greenhouse plants was designed. Through the emerging Internet of Things technology NB-IoT[1], the system can conduct remote real-time monitoring and intelligent control of the growing environment of crops in agricultural greenhouses[2]. In agricultural greenhouses layout based on stm32 microcontroller to shed internal environment parameters in a wireless sensor network for data acquisition, and then collected data through the
I

2

C
[3]protocol to micro controller, the controller will receive the data transmission to the NB - IoT module, uploaded to the cloud, finally received by remote terminal and displayed to the user. Similarly, users can also remotely issue control commands to the microcontroller in the greenhouse through the terminal interactive interface, so as to realize the unmanned intelligent control of the environment in the greenhouse.
A structured data preprocessing method based on hybrid encoding
Authors: Liu Chang , Yang Liu , Qu Jingyi
Published: January 2021

With the rapid development of civil aviation transportation industry, the passenger throughput in civil aviation is increasing, while the problem of flight delays is becoming more and more serious. For flight delay prediction under big data, deep learning methods can be applied to make high-precision predictions. Since data preprocessing is one of the most important parts, the method based on hybrid encoding is proposed in this paper. Firstly, the flight and meteorological data are fused with the associated primary key, Since weather data has a greater impact on flight delay. Then, the fused data is encoded according to different data types. Min-Max encoding is used for continuous features, and CatBoost encoding is adopted for discrete features respectively. Finally, the data set which has been preprocessed can be put into the deep convolutional neural network ResNet to verify the effect. The experimental results show that the prediction accuracy rate of flight delay level can reach 94.02% on the structured data set after hybrid encoding.
Quantum Algorithms for Solving Linear Regression Equation
Authors: Li Kai , Dai Hongyi , Jing Feng , Gao Mei , Xue Bin , Wang Pu , Zhang Ming
Published: January 2021

Linear regression is one of the most important and common analytical methods in mathematical statistics. The letter studies a general model of linear regression problem based on least squares method, and investigates the impact of quantum algorithms on the time complexity of solving linear regression problem when quantum algorithms can be implemented on quantum computers. With the help of the general model of linear regression problem in terms of least squares method, we propose a novel simplified quantum scheme for solving linear regression equation based on the sparsity-independent quantum singular value estimation algorithm. For a linear regression equation with dimension n, our scheme can reduce the time complexity from O(Nn
2) to

O
(

N

log
N

)

when both the condition number κ of related matrices and the reciprocal of precision ∈ are small in size O(play logN), where m is the dimension of the input u and N is the number of samples.
A Depth Multiple Hierarchical StereoNet by Using Thermodynamic Color Guidance
Authors: Kong Weiyi , Yang Menglong , Huang Qinzhen
Published: January 2021

Thermodynamics is devoted to the study of energy or materials, and few researchers have combined the laws of thermodynamics with stereoscopic vision. Thus, we propose Depth Multiple Hierarchical StereoNet (DMH-Net) by using thermodynamic color guidance, which present end-to-end deep architecture for real-time stereo matching, realize sub-pixel precision and produce high-quality refinement disparity on dataset benchmarks. At the same time, we use color thermodynamics to guide the image output of an accurate Hill disparity image. Our DMH-Net consists of four modules: the first module uses a deep spatial pooling method to extract multiple features that work on the initial left and right images. The second module use color guided to produce high-quality cost volume. We use the ahead of two modules to calculate depth disparity precision, which can segment coarse to fine to obtain background and edge of objects information. Thirdly module integrates the information about 3D cost volume and color channel to frame a 4D hierarchical cost volume. The fourth module is designed by depth hierarchical refinement to regress the final disparity. Finally, we achieve sub-pixel precision and real-time performance on benchmarks, which can produce high-quality thermodynamic disparity regression maps.
Multipath number estimation based on QR decomposition
Authors: Gao Xiangying , Liu Zhixin , Zhao Yongjun , Liu Chengcheng
Published: January 2021

Accurate multipath number estimation is the prerequisite for MUSIC algorithm to achieve excellent superresolution performance. To solve the problem that the existing multipath number estimation algorithms based on eigenvalue distribution usually require a large amount of computation, this paper proposed a fast multipath number estimation algorithm based on QR decomposition under the OFDM signal model. This algorithm only needs few times QR iteration decomposition to obtain the pseudo-eigenvalues of the matrix, and uses them to estimate the multipath number through two-step comparison. Due to the avoidance of accurate eigenvalues solution, compared with the traditional algorithms based on eigenvalue distribution, proposed algorithm’s computation is smaller. Simulation results showed that the proposed algorithm has better detection performance in low SNR and few snapshots than existing algorithms.
SOC prediction of lithium battery based on SA-PSO-BP neural network fusion
Authors: Yin Guoliang , Jiang Chengpeng , Yang Yi , Xiao Wendong
Published: January 2021

In electric vehicles, accurate SOC can provide accurate and reliable residual power for drivers, which is the target value of a judgment method to effectively avoid overcharge or over discharge of battery pack[4]. However, due to the nonlinear characteristic of SOC value, its specific value cannot be directly measured by instruments and equipment. The final estimation of SOC value can only be carried out by monitoring battery parameters such as current and voltage. In order to achieve high-precision prediction of the state of charge (SOC) of lithium iron phosphate (LiFePO4) batteries, this paper uses an algorithm combining particle swarm optimization optimized by simulated annealing and BP neural network. Through MATLAB simulation, it can be seen that this method is more accurate than particle swarm optimization used to optimize BP neural network.
A Browser-based Cross Site Request Forgery Detection Model
Authors: Zhang Jingyu , Hu Hongchao , Huo Shumin
Published: January 2021

CSRF is one of the most serious cyber attacks, and has been recognized as the main threat and one of the ten most serious vulnerabilities in web applications. The CSRF attack is when the attacker uses the implicit authentication mechanism of the HTTP protocol and the cookies cached in the browser to pass the authentication, and then executes the attack on the target website. In this article, we propose a browser-based CSRF detection model, which can detect CSRF attacks by analysing HTTP requests and web page content, thereby identifying the attacker’s CSRF attacks.
Research and improvement of energy balance in wireless sensor network based on LEACH
Authors: Tong Yulin
Published: January 2021

In view of the problem that LEACH routing algorithm does not consider the remaining energy of candidate nodes when electing cluster head nodes, the factors affecting the energy balance of nodes are analysed from the election process of cluster head nodes and transmission energy consumption. Regarding the deficiencies of LEACH routing algorithm in the cluster head election process, a new cluster head election and cluster head communication transmission path selection algorithm is proposed. The results show that the improved algorithm proposed in this paper can not only achieve node energy balance, but also effectively extend the life of wireless sensor networks and strengthen the integrity of the network in the working phase.
On Mongolian College Students’ Chinese-English Word Recognition Based on Eye Movement
Authors: Guan Guiyun , Zhang Hewei
Published: January 2021

For Mongolian college students, the typical trilinguals, the word processing is quite different from that for bilinguals. The article designed two experiments, including visual and auditory word recognition (the priming words were Chinese, while competitive words were English). Eye tracker was used to capture the data and SPSS was utilized to analyze the results, finding that the cross-language word recognition (from Chinese to English) for Mongolian college students was completed through phonological mediation.
An adaptive multi-sensor resource allocation algorithm based on efficiency function
Authors: Li Jian , Lu Xuanmin , Zhang Yiwen , Mou Zhiying
Published: January 2021

In this paper, combined with the Kalman filtering algorithm, the linear weighted sum of the normalized prediction information increment DI and the norm of target filter error covariance matrix ║ cP ║ is used to represent the pairing function of the target-sensor combination and the assignment and automatic updating of the pairing function between sensor and target are realized. Based on the analytic hierarchy process (AHP), an adaptive sensor resource allocation algorithm is proposed. The simulation results show that the algorithm can effectively integrate various evaluation factors and is compatible with different types of targets. The algorithm has simple structure and good versatility. The limited sensor resources can be dynamically adjusted according to the priority of targets, making the sensor allocation strategy more reasonable and effective.
Research on small moving target detection algorithm based on complex scene
Authors: Zhang Wei , Sun Wenhua
Published: January 2021

In recent years, small moving target detection based on complex scenes is widely used in many fields, such as computer vision, image processing and pattern recognition. It is widely used in military navigation, intelligent video monitoring system, video retrieval and other fields. Due to the dynamic background in the complex scene, the moving object has the characteristics of long distance, small area, unclear texture and color features, and partial loss of detail features. Therefore, how to extract small moving objects quickly, accurately and completely from complex scenes is the key of subsequent image analysis and processing. Aiming at the problem of strong background noise in more complex scenes, this paper proposes a neighborhood frame search denoising algorithm based on time consistency, which can effectively remove the strong background noise disturbance. The experimental results show that the algorithm can effectively remove strong background noise.
A router abnormal traffic detection strategy based on active defense
Authors: Li Xin , Yi Peng , Jiang Yiming , Yu Jing
Published: January 2021

With the rapid development of network attacks, traditional security protection technology is difficult to deal with unknown threats and persistent attacks. Active defense improves the ability to defend against network attacks by building a dynamic, heterogeneous and redundant endogenous security system. Aiming at the problem of single abnormal arbitrament information of routers in mimic defense, a router abnormal traffic detection strategy based on active defense is proposed. By clustering the traffic information of multiple heterogeneous redundant routing function entities and comparing the distance measurement between them, the routing function entities in abnormal state are determined. The experimental results show that the proposed strategy effectively detects the security threats of routing functional entities and expand the method of mimic router arbitrament.
Research on AR assisted aircraft maintenance technology
Authors: Yuan Liu , Hongli Sun , Qingmiao Wang
Published: January 2021

This paper introduces the application of AR assisted technology in aircraft maintenance. This paper specifically introduces the system architecture of an AR assisted aircraft maintenance system, expounds the software design and scene content of the AR assisted aircraft maintenance system, and analyzes the functional module development and difficult technologies of the system.
Malware Detection Model Based on Deep Convolution Generation Adversarial Network
Authors: Tang Cong , Shi Jiangyong , Yang Yi , Yang Yuexiang
Published: January 2021

At present, malware is one of the biggest threats to Internet security. In this paper, a new static malware analysis algorithm MSG is proposed based on DCGAN. The algorithm transforms the disassembled malware code into a gray image based on SimHash, and uses DCGAN to generate countermeasure samples for training to detect unknown malware variants. The experimental results show that the detection rate of our algorithm for malware can reach 96.67%, and the dodge rate of generated malicious samples can reach 0.92 under the detection of CNN discriminator.
Conceptual characteristics and analysis of typical application scenarios of energy blockchain
Authors: Zhang Xinsheng , Xu Qichao , Lu Jianfei , Xu Jingce
Published: January 2021

In recent years, blockchain has gradually moved from a technical concept to reality, and has increasingly shown its important potential to empower industrial innovation and boost economic construction. Blockchain technology has shown strong application potential in the field of energy and power with its technical characteristics such as traceability and nontampering. At present, many energy companies at home and abroad have used the energy blockchain to implement various scenarios, but they have not yet formed a target systematic research on energy blockchain. This research deeply analyzes the conceptual and technical characteristics of energy blockchain, proposes a screening model for application scenarios, and analyzes typical application scenarios of energy blockchain based on this, aiming to provide a useful reference for energy companies to develop blockchain applications.
Research on Augmented Reality (AR) Intelligent Maintenance Guide System
Authors: Sheng Yi , Gu Jiayan
Published: January 2021

The augmented reality (AR) intelligent maintenance guide system is researched. To do the maintenance with high efficiency and low cost, AR technology is a solution. The system is to provide a guide system with interactive display of virtual and reality. The test results show that the system has the function of reading, scanning, communication. The system can combine the virtual and reality.
Quick Debugging Method for Internet of Things Communication Module
Authors: Shuai Chen , Renyi Shu , qing Cheng
Published: January 2021

When developing the application system of the Internet of Things communication module, the short-range wireless communication module must be ensured to work normally in the first. In order to quickly debug short-range wireless communication modules, this paper proposes a module debugging method using USB to TTL serial port. The method uses a USB to TTL serial port module to connect the wireless communication module with the personal computer, and directly debugs in the Serial Port Tester, thereby avoiding the delay of writing the program and playing the role of quick debugging. The effectiveness of the debugging method is verified by experiments.
Research on security protection of OPC UA PubSub Protocol
Authors: bu Tianyu , Li Xi , Huang Jinfeng , Sun Zhigang
Published: January 2021

As a new generation of OPC protocol, OPC UA provides a standardized interoperability solution for industrial automation. In order to accelerate the application of OPC UA in industrial control networks, OPC Foundation published OPC UA PubSub protocol. With the gradual opening of industrial control network, the security risks of deep manufacturing facilities are greatly increased, so it is urgent to study the security protection of PubSub protocol. Based on PubSub protocol, we study the characteristics of its deployment environment and the security threats it faces, and point out the defects and solutions of PubSub protocol's own security protection mechanism. At the same time, we propose a security gateway model OSG, which is established between the field equipment layer and the field control layer, in order to deal with the security risks existing in the PubSub protocol.
Application and improvement of capture-recapture model for crowdsourced testing
Authors: Yao Yi , Liu Yuchan
Published: January 2021

Crowdsourced testing has become an effective alternative to traditional testing. However, crowdsourced testing is inherently difficult to manage. In this paper, objective information such as defect count is considered to evaluate the task process. We researched how the capture-recapture model estimates the total number of defects in a crowdsourced testing scenario. By comparing the difference between crowdsourced testing and traditional testing, incremental sampling methodology and the best estimator for crowdsourced testing were proposed to estimate the number of defects, so as to improve the ability to evaluate the completion degree of crowdsourced testing task.
A Fast Deep Learning Method for Network Intrusion Detection Without Manual Feature Extraction
Authors: Yue Wang , Yiming Jiang , Julong Lan
Published: January 2021

Many deep learning models have been used in network intrusion detection to improve the accuracy of intrusion detection. In the existing deep learning methods, the input sample is either the feature vector extracted from the raw traffic data in advance, or directly the raw traffic data. These two categories of methods have their own limitations. In order to overcome the limitations, this paper proposes a preprocessing method based on multi-packets input unit and the raw traffic data is significantly compressed to improve the computational efficiency. To improve the computational efficiency and the detection accuracy, a deep learning model called F-CNN is designed. Experimental results on the benchmark dataset show that the proposed method has significantly improved detection accuracy and training efficiency compared with existing models with good performance.
Design and implementation of laser marking machine control system
Authors: Sheng Minghua , Zhou Min , Yang Yongjie
Published: January 2021

The laser marking control system based on STM32 microprocessor is designed. Combined with the advantages of high efficiency and low cost of embedded control system, the overall scheme design is described and the peripheral hardware and the underlying driver are analyzed and designed. The microprocessor controls the switch of the laser by receiving the marking data sent by the upper computer via USB, and at the same time, the simulated galvanometer control protocol (XY2-100) controls the scanning of the galvanometer. SDRAM is used to enhance the data storage and processing capacity of the microprocessor. In order to improve the security and reliability of data, symmetric encryption algorithm is designed. After testing, the designed system meets the requirement of actual marking precision and has good practical value.
Adversarial examples with transferred camouflage style for object detection
Authors: Deng Xiaotong , Fang Zheng , Zheng Yunfei , Wang Yang , Huang Junming , Wang Xiaobing , Cao Tieyong
Published: January 2021

Most of existing adversarial examples attacking methods for object detection models aim at generating subtle perturbation which is invisible to human vision. However, some perturbations with stronger intensity are equally effective and can even make the objects in adversarial examples more invisible. In this paper, an attack model based on the Generative Adversarial Network and style transfer method is designed to craft and add perturbation with camouflage style to the object area in the image. Experiments on PASCAL VOC 2012 dataset demonstrated that Adversarial examples generated from our model can attack both proposal-based detectors and regression-based object detection models effectively, and reduce the visual saliency of the objects.
Application of AR Technology in Aircraft Maintenance Manual
Authors: Hongli Sun , Qingmiao Wang , Weixuan Yu , Yuan Liu , Yihui Cui , Hongchao Wang
Published: January 2021

The readability, interactivity and generality of aircraft maintenance manual directly affect maintenance cycle and cost. This paper presents the application of augmented reality technology in the development process of aircraft maintenance manual. The overall framework and functional requirements of the development of augmented reality intelligent maintenance system are given. Taking the leakage inspection procedure of AMM manual as an example, the process of augmented reality technical manual aircraft maintenance publication is explored.
Analysis on the Development Status of Automobile Lightweight Welding Technology
Authors: Zhang Yue
Published: January 2021

The lightweight production technology of automobiles is the mainstream technology of automobile production in the world today. As a far-sighted world power, domestic automobile manufacturers will attach great importance to the combination of lightweight production technology of automobiles with their own automobile production. The lightweight production of automobiles can not only complete the efficient operation of automobile engines and reduce automobile exhaust emissions, but also achieve the goal of energy saving, emission reduction, green and sustainable development. This article will analyze the core content of the lightweight production technology of automobiles, and make appropriate adjustments based on the functional requirements of the production vehicles. The author hopes that while ensuring that the structural design and material usage of the car meet market standards, it also reasonably controls costs and increases revenue. This article will focus on the analysis of the development status of automotive lightweight production and welding production technology, and put forward reasonable suggestions.
Effect of Rolling Mode on Grain Growth of Electrodeposited Nanocrystalline Nickel
Authors: Ni Haitao , Zhu Jiang , Yang Heshan , Wang Lixia
Published: January 2021

The electrodeposited nanocrystalline nickel samples were deformed by conventional unidirectional rolling, cross rolling and pack rolling, respectively. The effect of rolling mode on grain growth behavior was investigated by x-ray line profile analysis, transmission electron microscopy observation and microhardness measurement. Quantitative analysis indicated that rolling deformation induced grain growth is associated with grain rotation as well as dislocation activity, no matter what the rolling mode we use. Based on grain rotation induced grain growth, cross rolling induced grain growth is the most obvious, followed by conventional unidirectional rolling and pack rolling.
Design and simulation of DC regulated circuit for current source input type based on Tina-TI
Authors: Xue Tao , Hu Xiangnan , Fang Chun’en , Fu Xuhui , Li Wei , Zhang Ning , Chen Junping
Published: January 2021

In the multi-output high-voltage isolated power supply for solid-state switches, LCL resonant network is used to obtain the constant current source on the bus, and the bus current is independent of the load. Therefore, the secondary side of the toroidal transformer needs to use the current input voltage regulator circuit. When the input is a current source instead of a voltage source, the traditional voltage regulator circuit is no longer applicable. Therefore, this paper focuses on the study of dc voltage regulated circuit with current source input. Compared with the traditional linear regulated power supply, switching power supply has the advantages of high efficiency, large output power, small size, light weight and low cost. In this paper, pulse width modulation (PWM) technology is used to control the switching on and off, and UC3843 is used to design a switch type regulated power supply with small size, simple circuit, adjustable output and over voltage protection function. Tina-TI software was used for simulation analysis, and the main circuit and control circuit were built. The current source of 1.25A and 40kHz output by the secondary side of the toroidal transformer is converted into a stable 10V DC voltage source, which verified the correctness of the design. Tina-TI software can be used to analyze and design power supply with different requirements, improve power efficiency, reduce design complexity, and thus shorten development cycles.
Research on multi-parameter correction of vibration system based on genetic Algorithm
Authors: He Shihao , Zhou Cheng , Yu Cungui
Published: January 2021

In order to solve the problem of fast solving the vibration system under complex excitation, a co-simulation method based on the mathematical simulation model and the multi-parameter correction of the vibration system is proposed. According to the dynamics theory of multi-body systems, the dynamic equations of the system are derived. Runge-Kutta method and MATLAB software are used to solve the dynamic equations. Compared with ADAMS multi-body simulation, the accuracy and efficiency of the dynamic equations are proved. The vibration test is carried out to obtain the acceleration data required to construct the multi-objective function. Optimal solution of modified parameters is obtained by multi-objective genetic algorithm. Finally, the vibration test bench system was used to verify the feasibility of the multi-parameter correction method. The results show that the error of the modified objective function of the constructed vibration test bench system is greatly reduced, which verifies the effectiveness of the multi-parameter correction method.
Creep failure analysis of heterogeneous steel welded steam pipeline T91-TP347H
Authors: Yi-Lu Fan , Cao Yu , Liu Chuan-huai , Ji Dong-Mei
Published: January 2021

Finite element analysis was carried out on the actual service process of dissimilar steel welded pipes of T91-TP347H, and numerical analysis was carried out on the internal and external surface of the joint and the weld interface on both sides from three aspects of maximum principal stress, equivalent stress and stress triaxiality. The results show that the steam side T91-weld area is weakened seriously, the holes are more nucleated, the stress is more concentrated, the holes are easy to expand, it belongs to the high stress triaxial area, the hole density is high, is a dangerous area. Stress relaxation occurs on T91 side with the increase of service time, so the reason for failure is not the increase of stress level in the stress concentration area, but the deterioration of material performance is caused by long service time.
Analysis and Strategy on Reliability and Security of Intelligent Electric Meter Software
Authors: Wang Rui , Gong Qiujing , Zhen Ke , Hou Xing Zhe , He Min , Wang Ling Yu
Published: January 2021

In recent years, with the rapid development of smart grid, Intelligent Electric Meter is becoming more and more popular. As an important terminal of Intelligent Electric Meter development, its reliability and security play an important role in the development of Intelligent Electric Meter. However, in practical application, Intelligent Electric Meter users and power grid have more testing methods and requirements for Intelligent Electric Meter functionality. The reliability and security of smart meter software have the following problems: the software architecture is not uniform, the software testing involves less penetration testing, and the loopholes in the software testing are not easy to find. In this paper, by analyzing the embedded software architecture of Intelligent Electric Meter, combined with penetration testing method, a set of Intelligent Electric Meter software reliability and security system is established to ensure that the reliability and security test of Intelligent Electric Meter software can be carried out more scientifically.
Design of Structure and Control System of Intelligent Parking Equipment Based on TRIZ and Cloud Platform
Authors: Pingping LIU , Konglei ZHU
Published: January 2021

With the rapid growth of the number of cars in our country, parking difficulty, especially the phenomenon of parking difficulty and parking annoyance in residential areas has become the focus of people’s attention. To solve this problem, an intelligent parking device is designed. The influencing factors of parking time-consuming and laborious are analyzed. The TRIZ theory is used to convert the engineering technical parameters, and the technical contradiction matrix is established. The improvement scheme of parking equipment structure is designed through 40 invention principles, and the architecture of parking equipment management and control system is built by using cloud platform. Through the innovative design of parking equipment, it can reduce the space area of parking space, realize the automatic retrieval of empty parking spaces and the automatic parking and taking of cars, which provides a feasible solution for the industrialization of parking equipment in residential areas.
Electric Power Intelligent Inspection Robot: a Review
Authors: Zhang Tianzhe , Dai Jun
Published: January 2021

The electric power intelligent inspection robot is equipped with high-definition visible light camera, infrared thermal imager, sound-collecting equipment and other intelligent detection devices and intelligent analysis algorithm software to complete the control loop from rapid acquisition of all-weather data, real-time information transmission, intelligent analysis and early warning to fast decision feedback. Therefore, instead of manual inspection, the automatic detection and intelligent analysis of the state of the power equipment are realized, and the reliability of the operation of the power grid and the power equipment is improved. The use of electric power intelligent inspection robots is an important means to realize the intelligentization of power grids, and is an important direction for the future development of smart grids. Given the current research status and deficiencies at home and abroad, this paper discusses the electric power intelligent inspection robots from aspects of main technologies, cutting-edge technology, functional positioning and standard system, and discusses the research status of electric intelligent inspection robots. On this basis, future research and development direction are put forward. This paper has a guiding role and reference value for the research of electric power intelligent inspection robot.
Research on Wireless Water Quality Monitoring Method Based on STM32
Authors: Wang Hao , Wang Shudong , Liu Shen , Chen Yong , Li Runqing
Published: January 2021

Since the 21st century, people’s production and life have caused water pollution to varying degrees, so real-time monitoring of water quality has become crucial. Based on STM32, this paper proposes a water quality monitoring method that can continuously monitor three water quality parameters: water temperature, PH value, and turbidity. The water quality monitoring method is mainly based on the extended circuit of the STM32 series single-chip microcomputer, including PH sensor control circuit module, temperature sensor circuit module, wireless network communication circuit module, turbidity sensor circuit module, etc. Then based on the C language to write the MCU data acquisition program and the PC program developed on the virtual instrument design language platform, the PC program is mainly composed of the main PC and the MCU communication, data analysis and processing, process monitoring and other subroutines. The water quality monitoring method proposed in this paper can detect different water quality in real time through wireless transmission. This new method is not only suitable for the future development of the current water quality monitoring market, but also has a very promising application prospect.
Study on Parametric Resonance of Support Parameters to Flow Pipeline
Authors: Renzhi WU , Ang WANG , Lei QIN , Jiapan WANG
Published: January 2021

The influence of support parameters on the parametric resonance of fluid conveying pipeline under pulsating flow excitation is studied. Firstly, the mathematical model of fluid conveying pipeline and support system is established, Then the Galerkin method is used for discretization, and the incremental harmonic balance method is used to solve the problem. The effects of support stiffness, support damping, support position, support number and support spacing on the boundary of parametric resonance region and the parametric resonance response are discussed. The results show that under the fixed pulsating amplitude, the pulsating frequency range of system instability becomes smaller with the increase of support stiffness, support damping and the number of support, while the support position and support spacing have less influence on it. The change of support stiffness and support position has little influence on the pulsation frequency that the parametric resonance lasts to the end, but the increase of brace damping makes its value decrease obviously. The research results can provide a theoretical basis for the design and installation of pipeline support system.
Rolling bearing fault diagnosis based on GMCP sparse enhanced signal decomposition and TFM
Authors: Xiao Lingjun , Fu Guozi
Published: January 2021

This paper presents a rolling bearing fault diagnosis method based on GMCP sparse enhancement signal decomposition and TFM. First, algorithm use the non-convex penalty function that not only increases the sparsity but also maintains the convexity of the cost function, that is, the characteristics of the generalized maximum minimum concave penalty (GMCP) to obtain a more accurate estimate. Then the time-frequency manifold (TFM) is used to process the signal. The advantage of TFM is its powerful noise reduction performance to reduce the noise of the signal. Finally, the fault frequency is extracted to realize the fault diagnosis of the rolling bearing. Through the analysis of experimental data, the excellent performance and application value of the proposed method in the diagnosis of rolling bearings are confirmed.
Cyclic characteristic analysis of 9-12%Cr steel at high temperature: experiment and model
Authors: Cao Yu , Cui Xin , Liu Chuan-huai , Pan Wei-guo , Ji Dong-Mei
Published: January 2021

Strain controlled creep-fatigue experiments of P92 steel with various strain amplitudes and holding time were conducted under 600 °C. The effect of strain amplitude on cyclic softening and stress relaxation behavior is negligible. However, the holding time has a greater impact on both. A new constitutive model within the framework of Chaboche model was developed by improving the nonlinear isotropic hardening law and kinematic hardening law with cyclic characteristic parameters. According to the experimental data, the constitutive model deduced above was applied on P92 steel, and the reliability of the model was also verified, in which the cycle characteristics of P92 steel under creep-fatigue was finely described.
Dynamic characteristic analysis of micro-hole gun drill based on ANSYS
Authors: zhibing Zhang , zhen Dong , xiao Zhang , dong Zhang
Published: January 2021

This paper takes different material properties of gun drill as the research object. ANSYS software is used in the dynamic characteristic analysis of gun drills of different materials. According to modal analysis theory and experiment, the natural frequency and vibration mode of the drill are obtained. The analysis results show that the cemented carbide gun drill after the cubic boron nitride treatment can better withstand bending vibration and torsion during the working process. It is found that the natural frequency of the treated cemented carbide gun drill is very different from that of other materials. The performance micro-hole gun drill provides a certain theoretical basis, and at the same time provides a reference for reducing the vibration and deformation of the gun drill.
Study on Movement & Occupant Injury Based On The New FAR SIDE Test
Authors: Yang Jialin , Zhang Bin , Zhu Haitao
Published: January 2021

The occupant movement and injury of the new Euro NCAP FAR SIDE test are taken as the research object, with the theoretical analysis, sled test and CAE model. The mathematical model of the far side dummy movement is established, and the main factors affecting the dummy’s displacement are analysed. The injury characteristics of the far side dummy under the sled test are obtained, and the main causes are studied. And finally, the optimization scheme of the FAR SIDE test is proposed.
Fault prevention and application of electrical automation equipment based on maintenance methods
Authors: Chen Pengfei
Published: January 2021

Electrical automation equipment can perform unified processing, research and development control of relevant information with the support of computers, effectively improving the safety and stability of equipment operation. However, electrical machinery equipment systems are susceptible to interference from a variety of factors during operation, and are prone to failures, which will seriously affect normal production. Based on this, this article conducts in-depth research on electrical automation equipment faults, and puts forward the main strategies of electrical automation equipment fault prevention and the maintenance methods of common faults. Aiming at the problem that the number of correct detection fault parameters in the traditional electrical automation equipment detection method is small and the accuracy of the detection result is affected, research on the field fault detection method of electrical automation equipment is carried out. The on-site fault information collection of electrical automation equipment, fault information fusion combined with information link technology, and on-site fault diagnosis methods of electrical automation equipment ensure the accuracy requirements of industrial production enterprises for fault detection results.