bluuebunny/crossref_metadata_2025_split huggingface dataset:
Airborne multi-sensor target recognition method based on weighted fuzzy reasoning network and improved DS evidence theory
Authors: Zhang Hubiao , Wang Xing , Wu Xiaotian , Zhou Yipeng , Chen You 
Published: June 2020

Abstract
Difficult obtainment of basic probability assignment (BPA) and inaccurate recognition due to conflicting data are the problems in applying Dempster-Shafer (DS) evidence theory to airborne multi-sensor target recognition. In order to effectively deal with them, an airborne multi-sensor target recognition method based on weighted fuzzy reasoning network (WFRN) and improved Dempster-Shafer (IDS) evidence theory is proposed in this paper. First, the feature vector consisting of 5 feature components is constructed. And then a 4-layer WFRN consisting of 3 kinds of basic units is established to obtain BPA of the feature vector. Finally, conflict data is processed through IDS evidence theory to obtain the final fusion recognition result. The simulation results indicate that the proposed airborne multi-sensor target recognition method is able to obtain BPA reasonably and deal with conflict information.
Automatic Recommendation Method of Network Data Based on Big Data Technology
Authors: Huang Xiaorui , Guo Shuai , Zhang Yunchu , Zhang Peidong , Xu Shiyuan 
Published: June 2020

Abstract
With the advent of the Internet era in modern society, the surge in network data has greatly increased the difficulty for users to obtain demand information. In order to provide customers with information that may be of interest to them, this paper proposes a belief collaborative recommendation optimization algorithm, which introduces DP synthesis rules and Smets synthesis rules to improve traditional DS synthesis rules and establishes network data recommendation models. This method realizes automatic recommendation of network data according to the self-property and historical behavior data of network customers. The experimental results show that the automatic recommendation method for network data proposed in this paper has higher recommendation accuracy.
Visualization Classification and Prediction Based on Data Mining
Authors: Wei Ziyi , Zhang Zhiyong , Gu WeiWei , Fang Nan 
Published: June 2020

Abstract
The paper aims to solve huge amounts and noise of current internet information. In order to better excavate the user’s interests and provide accurate recommendations, improve the Internet environment and services and accurately analyze and evaluate the behavior of large-scale user groups. This article compares web pages with sentences in natural language, and uses the natural language processing algorithm Word2vec to extract the feature vectors of massive web pages browsed by users. PCA has been reduced to two dimensions, and webpage visualization and logistic regression have been implemented to classify webpages. A series of user clicks on webpages can be viewed as a walk in n-dimensional space. Probabilistic language models and Monte Carlo simulations are used as the next step for users. Click behavior to make predictions. Experiments show that the machine learning processing natural language algorithm used in this paper has a good performance in classification and prediction accuracy.
Deep Reinforcement Learning for Dynamic Multichannel Access in Multi-Cognitive Radio Networks
Authors: Wang Ao , Zhang Luyong , Chen Dianjun , Chen Jinhua 
Published: June 2020

Abstract
We propose a reinforcement learning framework based on deep recurrent learning to solve the dynamic spectrum access problem in the scenario where multiple cognitive networks coexist. In this scenario, the shared spectrum is divided into multiple channels, and the channel occupation by the primary user is modeled as a Markov model. The observation of the channel status by secondary users in this area obeys the partially observed Markov process, that is, each user can only observe the status of one channel in each time slot, and cannot obtain global information. To avoid collision in different cognitive networks, we adopt the distributed multi-agent deep reinforcement learning method. Without the interaction of different cognitive networks, based on the current partial observations, a suitable channel access policy can be obtained by a neural network. Comparing with Slotted-aloha and DQN-DSA Algorithm, the result indicates DRQN-DSA proposed in this paper performs better.
Research on Innovative Application of New Media in Visual Communication Design
Authors: Yue Wang 
Published: June 2020

Abstract
With the popularization of the Internet in our country and the development of digital media technology, new media technologies have also explored more new ways for the expansion of visual communication design. In the era of new media, the design concept is gradually updated, which also Found more development opportunities and more advanced technological innovation for the design of visual communication, and provide more possibilities for the innovation of visual communication technology. Based on this, this article mainly discusses the strategy of innovative application of new media in visual communication design.
Mining Frequent Itemsets of Novel Characters Based on Association Rules
Authors: Cao Hui , Li Jiao 
Published: June 2020

Abstract
This article belongs to the field of Data Mining. It selected the novel “White Deer Plain” as the research object, using the association rules mining method to research the book characters and show the character of interpersonal relationship. In this paper, weka was used as an auxiliary tool, and Apriori algorithm was used in association rules. The whole work text was input into the database, and each chapter of the article was separated. Through co-occurrence analysis, the name nodes in the text were extracted as keywords, and weight was assigned. Keywords appearing in a chapter were treated as a record, and a list of keywords from all chapters was combined to form a data set. Multiple scans of the database are made, and frequent item sets were found from the constructed data set, and association rules between people were found. The method assists the reader to clarify and grasp the relationship between the characters before reading the full text. It greatly saves the time of reading.
Improvement Grouping Genetic Algorithm for Solving the Bin Packing Problem
Authors: Fan Yunfei , Chu Jizheng , Xu Haoran 
Published: June 2020

Abstract
An improved grouping genetic algorithm is proposed to solve the one-dimensional bin packing problem. In this algorithm, a new crossover operator is constructed according to the characteristics of the encoding. At the same time, a replacement insertion method is designed to improve the mutation operation. The new mutation operation prevents the algorithm from falling into a local optimum and improves the transmission speed of the best individual in the chromosome. The analysis and comparison of experimental results show that the proposed algorithm can effectively solve the one-dimensional bin packing problem and has reliable global convergence.
Research on Assembly Path Planning Method of Low Speed Diesel Engine Based on Hoisting Characteristics
Authors: Wang Wei , Zhang Xinyu , Zhang Wenping , Shang Zhaobin 
Published: June 2020

Abstract
In assembly planning, it is important to select and determine the best path of assembly. An automatic assembly path planning method of low speed diesel engine based on hoisting characteristics is proposed in this paper. By analyzing the hoisting characteristics of low speed diesel engine components, the algorithm of automatic assembly path planning is designed and programmed in Python. The program can output the assembly path automatically according to the position information of assembly components, and it can also detect clashes in assembly paths. The test results are verified by virtual assembly, which proves that the method is reasonable and effective.
Design and research of meshing mechanism of orchard monorail transporter
Authors: Zhang Hongmei , Ren Longlong , Song Yuepeng 
Published: June 2020

Abstract
The monorail transporter of mountains orchard had a compact size, strong carrying capacity, and can be installed in complex terrain, which can better meet the requirements of orchard use, and had received extensive attention at home and abroad. In order to improve the performance of the monorail transporter’s meshing mechanism, this paper took the meshing mechanism as the research object, and designed the driving pin wheel with fixed pin teeth, the driving pin wheel with rotating pin teeth and a single-track model with four different tooth widths. The virtual prototype model of the meshing mechanism was built by ADAMS/View. The experimental data shows that the speed RMS value of the driving pin wheel with rotating pin teeth is increased by 135% compared with the driving pin wheel with fixed pin teeth during the meshing of the driving pin wheel and the single-track, and the contact force RMS value generated during the meshing process is reduced by 36%, and the tooth width of the single-track has less influence on the performance of the meshing mechanism. The experimental results show that the driving pin wheel of rotating pin teeth can significantly improve the performance of the meshing mechanism.
Modeling and simulation of induction motor based on Time Scale Frame Transformation
Authors: Tian Pengfei , Qu Qiumeng , Cai Yanmeng , Cheng Yu , Xu Yizheng , Yao Shujun , Wang Yan 
Published: June 2020

Abstract
The time scale frame transformation is used to construct the analytic signal for single signal, and the large step simulation is carried out after the frequency reduction is rotated. It avoids the double frequency problem of Park transformation when the three-phase power system is asymmetrical, and also avoids the complexity of dynamic phasor method which needs to deal with the asymmetry problem in positive and negative zero order. Based on the principle of time scale frame transformation and the VBR model of induction motor, a time scale frame transformation model of induction motor is established. Then, the time scale frame transformation model of induction motor is programmed by Matlab software, and compared with the electromagnetic transient model of classical induction motor built by Simulink platform. The simulation example shows the accuracy and efficiency of the time scale frame transformation model of induction motor.
Analysis and Experimental Research on Shifting Impact of Loader Transmission
Authors: Wu Guanghua , Ma Wenxing , Liu Chunbao 
Published: June 2020

Abstract
The evaluation index of loader shift quality was analysed, and the model of the evaluation index was established. The main causes of the shift impact of the transmission were analysed, and it was concluded that the disturbance caused by the torque of the transmission output shaft had a direct relationship with the oil filling and discharging rule in the clutch and the change in oil pressure. Based on theoretical analysis, an accurate control strategy of a proportional solenoid valve to realize electro-hydraulic proportional closed-loop buffering control was proposed. The buffer control of the transmission shift is performed by using this method. The effectiveness of the control strategy was verified by the experiment of the shift oil pressure. The shift impact of the transmission was reduced, and the loader shift quality was improved.
Research on Key Technologies of Target Positioning Based on Electronic and Optical Sensors
Authors: Shi Yu Huang , Shang Ying Shi 
Published: June 2020

Abstract
In order to safeguard China’s important sovereignty and marine rights and interests, it is of great significance to monitor waters. In the development of the current international situation, many countries and regions have applied spaceborne electronic sensors and optical sensors because of their outstanding advantages in the application process. Spaceborne electronic sensors and optical sensors are widely used in water monitoring. In the current application process of electronic sensors and optical sensors, the basic knowledge of both sensors needs to be understood. At the same time, only a deep discussion of the target positioning of the two sensors can ensure the full application of key technologies of electronic and optical sensor target positioning and improve the final quality of water monitoring.
A Fault Diagnosis System of All-Fiber Optical Current Transformer with Correlation Detection
Authors: Liu Mei , Ji Zhongxiao , Diao Zhaowei , Wu Yifei , Wu Yi , Yang Fei 
Published: June 2020

Abstract
All-fiber optical current transformer (FOCT) based on Magneto-optical Faraday effect plays a pivotal role in current metering and protection of smart grid. However, the fault diagnosis of FOCT is one of the most critical issues to be solved. In order to ensure the proper functioning of FOCT, a fault diagnosis system is presented by monitoring the intensity variation of the light interference with Square wave bias modulation of FOCT, which is measured by digital signal processing unit using correlation detection technology. Afterwards, the faulty types of FOCT are recognized by the amount of the optical power variation. The experimental results show that the system can effectively detect these kinds of fault types, such as the broken of optical fiber, the increasing loss of optical fiber and the breakdown of light source in FOCT.
The Analysis of Thermal Magnetic Coupling of Tubular Permanent Magnetic Coupler
Authors: Cao Yu , Li Xiaoxue , Liu Wei 
Published: June 2020

Abstract
Due to the existence of induced eddy current, the internal of the permanent magnet coupling’s temperature increases during the operation, which affects the performance of the permanent magnet coupling. In this paper, considering the influence of temperature on the remanence, coercive force of the permanent magnet, the conductivity of the conductor and steel frame. We analysed the coupling performance of thermodynamics and electromagnetism. Electromagnetic field simulated with ANSYS Maxwell and temperature field simulation with Workbench. The analysis results lay a foundation for the subsequent analysis of the thermo-magnetic coupling of the permanent magnet couplings.
Design and Application of On-line Capsule Detecting Device for Cigarette Maker
Authors: Yuliang Li , Guoqian Ye , Duanwei Wu , Lihong Zhang , Shuai Yang , Lifeng Fan 
Published: June 2020

Abstract
In order to solve the problem that continuous online single-capsule testing of capsule-containing rolled products cannot be performed during the rolling process, according to the operating characteristics of the rolling machine, an online capsule detection device for the rolling unit was designed. The device is mainly composed of a capsule detection unit, a display operation unit, a fault diagnosis unit and a data communication unit. The system first generates a terahertz signal source and collects the terahertz signal generated after passing through the capsule in the cigarette filter to be detected, performs real-time calculation through the detection processing unit, and aligns the processed signal with the cigarette through the axis encoder, and finally rejection through the rejection valve. The ZJ17 rolling unit and cigarette products with a diameter of 5.4mm, a capsule diameter of 2.8mm, and a filter length of 30mm were tested. The results showed that the online unit of the rolling unit was used to detect the presence or absence of capsules and damaged capsules. The continuous detection accuracy of the branch is 100%, and the accuracy of the continuous detection of the online single branch for the capsule displacement of ± 4mm or more is 85%. The device realizes the online safety inspection of capsules containing rolled products containing capsules, and opens up new ideas for the quality assurance of capsules containing rolled products.
Bisector optimal ball-end tool orientation
Authors: Zou X , Xu H Y , Shi K , Fang X B 
Published: June 2020

Abstract
For five-axis CNC machining with ball-end tool, smooth variation of tool orientation is desirable for stable rotary axes movement with constant inclination angle between surface normal and tool axis so as to obtain constant cutting speed. According to the Darboux frame, the orientation for a ball-end tool can be decomposed into two components, one of which along the surface normal is fixed and the other on the tangent plane is undetermined for possible optimization. Based on geometrical analysis for the latter component, a novel bisector optimization approach is proposed to optimize variation of the tool orientation. Simulations are conducted and the bisector optimization approach has exhibited smoother variation of tool orientation along the whole path.
The application of small size spiral tube coil antenna in the development of electromagnetic radiator
Authors: Yucheng Jiao , Guoguang Zhang , Chunhua Jiang 
Published: June 2020

Abstract
When the electromagnetic wave propagates in water, the attenuation will increase with the increase of frequency, so the application of electromagnetic wave in water is limited to the low frequency band. At present, in order to realize the low-frequency electromagnetic wave radiation, the commonly used method is tuning the spiral tube coil antenna (Electromagnetic radiator). In practical application, the electromagnetic radiator used to realize high-power electromagnetic radiation usually has the characteristics of large size and many coil turns. Therefore, for the development of high-power electromagnetic radiator, there are many difficulties, such as high cost and difficult manufacture. Therefore, it is necessary to analyse the relationship between the radiation performances of different sizes of electromagnetic radiator, and use this relationship to guide the development of high-power electromagnetic radiator. Based on this, this paper analysed the radiation characteristics of spiral tube coil antenna, and the application of small-size electromagnetic radiator in the development of electromagnetic radiator.
Design of a multifunctional entrance guard system using GSM and fingerprint identification
Authors: Shufen Huang , Fukang Qu , Tugui Wu 
Published: June 2020

Abstract
Conventional entrance guard systems have monotonous functions. This paper designs an entrance guard system that takes the STM32 single chip machine as the control center and has the fingerprint identification module, GSM short-messaging module, the call notification module to realize local and remote unlocking (door opening) operations. Touch display screens and the STemWin graphics software are combined to design the human-computer interaction interface. The external memory module is designed to record the unlocking time and the historical data about the door opener. This designed system has diverse functions, secure, convenient for operations and can realize visualization of human computer interaction.
Database dynamic update management system for power system
Authors: Zhang Qiang , Li Bao , Yuan Quan , Lu Mingfu , Huang Xinlei 
Published: June 2020

Abstract
Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis and power system models, Can diagnose, optimize and predict the operation of the power grid, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.
Simulation analysis of current protection in distributed power distribution network
Authors: Han Mengxia , Suo Lian , Song Jiaoru 
Published: June 2020

Abstract
The massive access of distributed power sources makes the distribution network into an active network with bidirectional power flow, which increases the economics and flexibility of grid operation. However, the protection configuration of traditional distribution systems is based on a single power system. And distributed power has a certain randomness, and its fault current characteristics will change, which complicates the protection of distribution network with distributed power. In order to solve this problem, this paper first builds a distribution network with multiple distributed power sources based on the RTDS simulation platform, and simulates the fault current characteristics of the line faults. Then it sets up a three-stage current protection and supplies power based on the two-sided power supply The network calculates its setting value; finally analyzes the problems existing in the three-stage protection under the network and proposes the idea of using wide area protection as a backup protection.
Design and Implementation of 230MHz Communication Function for Smart Grid Inspection Terminal
Authors: Tu Xiaodong , Zhang Ruibing , Wang Juan , Li Yan , Feng Chaoli , Chu Jianxin , Gu Weihua , Wang Yong , Li Qian , Fu Haibing 
Published: June 2020

Abstract
Smart grid inspection is a basic maintenance task for power equipment. Through inspection, the reliability and safety of power equipment can be improved, and the failure rate of power equipment can be effectively reduced. In order to improve the quality of smart grid inspections, this paper analyses the limitations of smart grid inspection terminals, proposes methods to expand the private wireless network communication capabilities based on the original terminals, designs and implements software and hardware, and develops prototype equipment. Finally, a verification test is performed based on the actual 230MHz wireless communication network, this proves that the new intelligent inspection terminal can work normally in a private wireless network environment. This paper describes the software design and hardware design ideas in detail, which can be used as a reference for the capacity expansion of various type of terminals in smart grids.
Low quiescent current capacitor-less LDO regulator with high slew rate super class AB CMOS OTA
Authors: Ni Peng , Huang Shengming , Duan Quanzhen 
Published: June 2020

Abstract
This paper presents a low quiescent current capacitor-less low-dropout regulator (LDO) with high slew rate super class AB CMOS operational transconductance amplifier (OTA). The OTA of this design is based on the combination of class AB differential input stages and local common-mode feedback (LCMFB) which provides additional dynamic current boosting, increased gain-bandwidth (GBW) product and slew rate (SR). LCMFB is applied to various class AB differential input stages, leading to different class AB OTA topologies. The design also uses dynamic charging transistor (DCT) to enhance the transient characteristics of the circuit. The presented LDO is fabricated in a 0.18 um standard CMOS process. The circuit consumes a quiescent current of 10 uA at no load, regulating the output at 1.0V with maximum output current of 100mA from a voltage supply of 1.2V. It achieves full range stability from 1mA to 100mA load current at a maximum 100pF load capacitor.