bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Low Complexity joint synchronization algorithm based on CAZAC sequence for OFDM system
Authors: Chen Ying , Nie Wei 
Published: June 2020

Abstract
To solve the problem of timing ambiguity and reduce the complexity of integer frequency offsets (IFO) estimation for OFDM system, this paper proposes a novel synchronization algorithm based on CAZAC sequence in time domain. The algorithm constructs a training sequence with conjugate and symmetry properties. Firstly, timing synchronization and IFO estimation are completed simultaneously by utilizing the cross-correlating of the training sequence and local signal based on the analysis of the impact of IFO on the timing of meric peak positions. Then the fractional frequency offsets (FFO) estimation is done using the repeatability of the symmetrical training sequence. Compared with the existing representative algorithms, the proposed algorithm achieves better synchronous performances with lower computational complexity and acceptable transmission efficiency.
Application of BA-BP neural network in surface reconstruction
Authors: Wang Hai-jun , Jin Tao 
Published: June 2020

Abstract
Aiming at the problems of current BP neural network model for surface reconstruction that are sensitive to the initial weights and thresholds, easy to fall into local minima, and the reconstruction accuracy is not high, a BA-BP surface reconstruction algorithm is proposed. The model weights and thresholds are optimized by bat algorithm for the first time, and then the BP algorithm is used to further optimize the weights and thresholds of model. Then, a surface reconstruction model based on the BA-BP neural network is established. By comparing with the reconstruction effect based on BP algorithm, quadratic fitting algorithm, wolf pack neural network algorithm and cuckoo neural network algorithm model, it proves that the idea of using bat algorithm to optimize BP model to construct surface reconstruction model is feasible. Bat algorithm, like other swarm intelligence algorithms, can effectively improve the efficiency of BP algorithm surface reconstruction model.
On curriculum relevance of the information management and information system major in the age of big data
Authors: Wu Weiwei , Ao Xiqin , Li Fan 
Published: June 2020

Abstract
This paper aims to study the curriculum relevance of the major of information management and information system in the age of big data by analysing the curriculum scores of students via Pearson correlation coefficient and Apriori algorithm employing the software IBM Statistical Product and Service Solutions (SPSS) Statistics 26.0. The correlations between different courses are presented from the multiple perspectives by statistical description. The results could provide a theoretical basis to improve the training program of information management and information system major.
Overview of Machine Tool Error Detection Technology
Authors: Li Xinkai , Li Dehua , Lao Yingying , Zhang Ruijie , Han Yi , Yao Xing 
Published: June 2020

Abstract
With the rapid development of modern mechanical manufacturing technology, precision and ultra-precision processing technology has become the main trend of the development of modern mechanical manufacturing industry. As a basic tool in mechanical manufacturing, the accuracy of CNC machine tools is an important index affecting the accuracy of workpiece processing. Therefore, the research on improving the accuracy of CNC machine tools has received great attention. In all kinds of high-speed and precision machine tools, the problem of the decline of machining accuracy caused by machine tool errors has become increasingly prominent. How to identify and eliminate machine tool errors quickly and efficiently has become an increasingly urgent task. In this paper, the research status of machine tool error detection technology at home and abroad is analyzed, in order to provide a reference for the development of machine tool error detection technology.
Electrical hysteresis of single-walled carbon nanotube field effect transistors and its modulation by an external magnetic field
Authors: Peng Zhisheng , Cai Jinzhong , Wei Haonan , Yue Junyi , Liu Jia , Sun Lianfeng , Wang Gongtang 
Published: June 2020

Abstract
Electrical hysteresis in single-walled carbon nanotube (SWNT) field-effect transistors has been observed in 2002, which is a key factor to determine the performance of carbon nanotube field-effect transistors and related systems. Meanwhile, the mechanisms of the hysteresis are controversial and in-depth understanding is still required. In this work, we report the observation of hysteresis in a three-terminal SWNT FET at room temperature under atmospheric conditions. The hysteresis is found to be modulated by an external magnetic field. And there is a significant difference for the modulation of the hysteresis between the positive and negative magnetic fields. Possible mechanism is proposed and discussed.
The Elimination and Detection Method of Ballistic Missile Infrared Images Bright Line Noise in Middle Trajectory
Authors: Zhu Min , Guo Ming , Shao Zhaoqun 
Published: June 2020

Abstract
The bright line noise of the infrared images in middle trajectory of the ballistic missile is similar with the track of the target. This will increase the difficulty in the detection and recognition of the target. So it is very important to eliminate the bright line in the infrared images. Firstly, the paper analyzes the characters of the bright line of the infrared images in the middle trajectory of the ballistic missile in the time domain and the frequency domain respectively. Secondly, the innovative method is put forward to detect the bright line automatically. Finally, the elimination and restoration method of the bright line is proposed in the time domain and the frequency domain. Numerical simulations are given to demonstrate the efficiency of the proposed control schemes and the experimental results show that the proposed method can eliminate the bright line effectively and improve the performance of the infrared images.
AutoSkin: Skeleton-based Human Skinning with Deep Neural Networks
Authors: Ouyang Xuming , Feng Cunguang 
Published: June 2020

Abstract
Articulated character animation has received increasing attention in applications like game or film production. One of the main challenges is the task of skinning that animator should specify the association between skeleton structure and skin surface which involves large amounts of manual weight painting and deformation tuning. In this paper, we propose a deep learning based framework for skinning. By using our framework, the skinning is seen as a multi-regression task and the network can infer the skeleton-skin association and compute the accurate weights automatically while only requiring minimal manual tuning. One significant advantage of our framework is that the impressive performance can be also achieved while dealing with complicated 3D characters, even these characters exist over a hundred bones or dress delicately. Our experiments have indicated that our framework could generate competitive results compared with the commercial software and we aim to apply it in the industry such as games or video applications.
Detection of Back Attack based on Interval Temporal Logic
Authors: Zhang Juan , Gu Fenfei 
Published: June 2020

Abstract
Contrasted with other detection methods, based on temporal logic the intrusion detection method can deal with complex network attacks actively. However, due to the lack of network attacks temporal logic formula, common back attack cannot use the above methods of detection. Therefore, the Propositional Interval Temporal Logic (ITL) is used to establish temporal logic formulas for back attack. Firstly, the attack principle of back attack was analyzed. Secondly, the critical steps of the attack were break up into atomic actions and the atomic proposition was defined. Finally, the temporal logic formula for the attack was established based on the logical relationship between the atomic propositions. According to the principle of model checking, the obtained temporal logic formula can be used as the input for the model checker (intrusion detector). The automaton was utilized to model the log library as another input to the model checker. And the intrusion detection method for these three attacks was given. and it proved the validityof the novel method by some Simulation experiments
Research on the Handoff for Urban Rail Transit Based on IGM-BP Algorithm
Authors: Wei Wei , Liu Xiaojuan , Li Yao 
Published: June 2020

Abstract
Aiming at the problem that the reference signal received power (RSRP) value received by the urban rail transit train during the handoff fluctuates greatly, which causes frequent occurrence of ping-pong handoff, combined with the A3 event in the TD-LTE standard, the improved grey prediction-BP neural network (IGM-BP) algorithm was proposed to improve RSRP fluctuations. The terminal access unit (TAU) will receive the first four sets of RSRP values at time t to establish a grey model GM (1,1) and get a set of predicted values. Take the average of the predicted value as the expected value, and finally the predicted values, modified by the BP neural network algorithm, are used to obtain the expected RSRP value. The simulation results show that the proposed algorithm, compared with the traditional handoff algorithm and the grey prediction algorithm, decreases the RSRP value fluctuation range, reduces the ping-pong handoff rate and meets the requirement that the TD-LTE system handoff success rate reaches 99.5%.
Research on the Construction of Knowledge Service Model of Port Supply Chain Enterprise in Big Data Environment
Authors: Bo Yang , Junqing Mao 
Published: June 2020

Abstract
In the context of the rapid development of big data and artificial intelligence, with the help of the knowledge service theory system and big data technology to build a smart port supply chain knowledge service model to provide a personalized, intelligent, and diversified knowledge-based service system platform solution to port supply chain enterprises, which is of great significance to realization of port supply chain transformation and upgrading and intelligent integrated operation. This paper analyzes and summarizes the research status of knowledge service demand and port supply chain knowledge service during the development and operation of port supply chain, and applies big data and artificial intelligence technologies such as knowledge matching, knowledge fusion, and natural language processing. The port supply chain knowledge service model including knowledge acquisition, knowledge organization and knowledge service modules is constructed. Ontology method is used to construct the ontology knowledge base of port supply chain, and based on this, computational reasoning experiments are performed. The experiments show that the ontology technology shows good effectiveness and superiority in constructing the knowledge service system model of the port supply chain in terms of knowledge representation and knowledge reasoning.
Study on involute rotor profile based on pressure angle reduction
Authors: Liu Linlin , Chen Peijun , Du Jinqiao , Wang Xinyi 
Published: June 2020

Abstract
By adopting the method of reducing the pressure angle, this paper carried out an improvement on the profile of traditional involute rotor. It’s whole tooth profile is described exactly by combining the meshing principle of gears with parameter equation. The study made clear that there were drops to some extent on the area utilization coefficient of the improved profile of involute rotor when compared with the traditional profile of the same structure, yet its coincident degree was increased along with the decreased of pressure angle. It raised the stability of rotor transmission and in the mean time raised the bearing capacity of rotor transmission.
Experimental research on efficient irrigation system with mixed fertilizer in integration of water and fertilizer
Authors: Ren Longlong , Zhang Hongmei , Zhang Shuai , Fan Guiju , Li Yang , Song Yuepeng 
Published: June 2020

Abstract
China is a country with relatively insufficient water resources. Saving water and fertilizer and improving the utilization of water and fertilizer have become one of the most urgent problems in fruit industry. Water and fertilizer integrated irrigation technology is one of the means to solve the above problems. In this paper, a new efficient mixed fertilizer irrigation system is developed and field experiments are carried out. With Box-Behnken experimental design method, a quadratic regression model indexed by undissolved amount of three fertilizers is established. Through the interaction of the model and the analysis of response surface, the influence of stirring speed, stirring time and submerged depth of stirrer on response index is obtained. These work may provide some idea when engineers design this kind of system.
Analysis of error probability in aero ordnance maintenance
Authors: Wang Xifeng , Hu Junhua , Liu An 
Published: June 2020

Abstract
Aero ordnance maintenance is a very important part in aviation maintenance, which has such characteristics as elusive, inconvertibility and danger. The specificity of aero ordnance maintenance is analyzed, and the error model fitting well with the actual situation is built. The maintenance error probabilities are calculated by Bayesian network. Besides, the influences of organization management, professional skill and other typical factors are analyzed in this paper. The related results have some reference and guiding meaning to the aero maintenance work.
Study on developing application fields of micro differential pressure sensor with magnetic fluid
Authors: Hao Ruican , Liu Huagang , Xing Feifei , Ma Jinru 
Published: June 2020

Abstract
Magnetic fluid is a new novel nano magnetic material which could be applied in many engineering fields. Micro differential pressure sensor is a potential application field for measuring technology. Magnetic fluid is introduced. The potential engineering application fields are explored and researched, which includes industrial boiler, converter in steelmaking furnace, measuring the weight of solid, the distribution of pressure field, air volume, respirator, mine passage, warehouses, bioengineering, textile workshop, predicting leakage of container, fluid throttle, medical devices, and so on. Sensors with magnetic fluid could certainly create a new way for engineering application.
Research on the Performance of Accumulators Driven by an Electronically Controlled Hydraulic Vehicle
Authors: Zhu Xiaoji , Wang Qiang , He Xiaohui , Du Qiangmao , Sha Yigang 
Published: June 2020

Abstract
In order to study the performance of an accumulator during the start up of an electronically controlled hydraulic vehicle, theoretical analysis and establishment of a 1/4 vehicle experimental platform for experimental verification were conducted, in order to study the performance characteristics of the hydraulic circuit during driving. Control experiments show that the accumulator does not affect the acceleration performance and the torque of the hydraulic motor when an electrically controlled hydraulic vehicle is driven. The accumulator can be used as an auxiliary power component to absorb partially wasted energy during driving to improve the energy utilization efficiency. The energy absorbed by the accumulator during driving can increase the maximum speed; the use of the accumulator can alleviate the hydraulic shock at the entrance of the hydraulic motor.
Design and on-orbit test of RBF network friction compensation sliding mode control algorithm for Luojia1-01 satellite attitude
Authors: Qu Zhi , Xu Kai , He Xin , Chen Zhigang , Li Feng , Liu Mengmeng , Xie Yanhao 
Published: June 2020

Abstract
Aiming at the attitude maneuver mode of Luojia1-01 satellite attitude control system, this paper designs an RBF network friction compensation sliding mode control (SMC) algorithm. Firstly, the satellite attitude motion model is derived according to the needs of the imaging working mode. Secondly, a fast Terminal sliding mode control law is designed based on the tracking error motion model described by the error quaternion. Considering the suppression of disturbance, an extended state observer (ESO) is introduced to observe the total disturbance of the system. Then, the RBF network friction compensation system is used to approximate the switching term on line and further reduce the vibration, thereby reducing the switching gain in the sliding mode control law. The simulation results of RBF adaptive control algorithm and RBF network friction compensation sliding mode control algorithm are carried out to prove the perfect effect of the proposed algorithm. Finally, the on-orbit test and summary of Luojia1-01 satellite attitude control system are carried out. The results show that the attitude pointing accuracy is better than 0.02°, the attitude control stability is better than 0.005°/s, and the accuracy of control moment is 0.01mNm. This method satisfies the overall requirements of Luojia1-01 satellite’s working mode.
Analysis of Turning Process of Slim Shaft Based on Finite Element Method
Authors: Wu Mingming , Zhou Tao 
Published: June 2020

Abstract
Based on the analysis of turning bending deformation of the ordinary turning (forward) machining method of the slender shaft, a reverse turning machining method of the slender shaft is proposed, the bending deformation analysis of the reverse turning of the slender shaft is performed, the finite element method is used. The machining accuracy of the two turning solutions is simulated respectively. Finally, it is verified through experiments that reverse turning can improve the turning accuracy of slender shaft parts to a certain extent.
Control of Permanent Magnet Synchronous Motor Based on Active Disturbance Rejection Control
Authors: Tian Xin , Xiong Hejin , Lei Deming 
Published: June 2020

Abstract
For the control of permanent magnet synchronous motors, the proportional integral controller has the characteristics of simple structure and strong versatility, and has been widely used. However, in some occasions with the higher requirements for anti-interference, the proportional integral controller cannot fully meet the control requirements. Therefore, it is proposed to apply active disturbance rejection controller to control permanent magnet synchronous motors to achieve the purpose of improving the control performance of the system. The models of the proportional-integral controller and active disturbance rejection controller were built using MATLAB, and compared with each other under the premise of ensuring that both parameters were optimal. The situation proves that the permanent magnet synchronous motor with applying active disturbance rejection controller has better anti-interference performance in the interference environment.
A Magnetic Distance Measuring System For Drilling Multiple Vertical Wells Simultaneously
Authors: Ding Xudong , Gao Xu 
Published: June 2020

Abstract
With the increasing demand of oil, gas and mineral exploration and development and the development of logging technology, when drilling two or more wells, people need to carry out accurate measurement and positioning. a magnetic distance measurement system diagram for drilling multiple wells simultaneously. This paper presents a magnetic distance measuring system for drilling multiple vertical wells simultaneously. According to the magnetic field data, the geometric relationship between the two BHAS is determined, and the distance and orientation between wells are automatically located to maintain a predetermined geometric relationship, and then simultaneous drilling is realized. The algorithm is simple, the error is within the acceptable range, and it can further improve the efficiency of drilling operation, save time and reduce cost.
Two-step Calibration Method for Triaxial Magnetometers
Authors: Wang Xianran , Wang Anju , Wang Weilin , Qin Yijie , Ge Xu , Yao Chang , Ouyang Jun 
Published: June 2020

Abstract
In this paper, two important sources of the non-orthogonal errors of triaxial magnetometers were analysed. The non-orthogonal error mainly come from the transverse sensitivity of uniaxial sensor or non-orthogonality between the three axes of magnetic magnetometer. These two error sources were separated by mathematical analysis. Then a two-step calibration method of triaxial magnetometers was designed. It showed that the peak-to-peak value of the calculated result of the scalar of magnetic field could be reduced to 56nT from 350nT within the range of 50000nT.
Research on the detection of high-speed current transformer core corrosion based on LabVIEW
Authors: Fan Guangen , Li De-cang , Yue Qiang , Zhang Yatong 
Published: June 2020

Abstract
Aiming at the corrosion degree of current transformer cores in high-speed EMUs, a corrosion detection system of current transformer cores in high-speed EMUs is developed by using LabView as a development tool and combining with wireless transmission technology based on TCP/IP remote communication. The system includes two subsystems: vehicle unit and vehicle unit. It realizes signal acquisition, data processing, parameter display of rust determination, real-time wireless transmission of data, parameter preservation and alarm prompt. It also realizes portable and portable data acquisition requirements combined with relevant hardware equipment. The test results show that the system can meet the requirement of iron core corrosion detection of current transformer in high-speed EMU, and the hardware equipment adopted make the system more convenient to use and meet the practical application requirements. It has a certain reference value for the construction of automatic fault detection system for high-speed EMU.
Design of Health Care for Elderly Living Alone Based on ZigBee
Authors: Weichao Cai , Xianhui Wang 
Published: June 2020

Abstract
Now the society has stepped into the aging stage, because of the rapid pace of life in cities and hollowing out of villages, a considerable number of older adults living alone. The health of the older adults living alone becomes a concern for their children. The aim of this study is to provide a health monitoring program that does not interfere with the life of the elderly. Research data show that the biggest threat to the health of the elderly is falls and cardiovascular attacks. The design uses wireless wearable technology to monitor the motion status and ECG signals of the elderly. PC is used as data storage and transmission center and has the ability of simple data processing. The experimental results show that the design can transmit the acceleration signal and ECG signal to the personal computer through wireless mode, and the processed data can meet the needs of professional medical staff.
A LabView-based Smart Aquaculture system
Authors: Shufen Huang , Wei Cheng , Shuiyin Xu 
Published: June 2020

Abstract
To facilitate aquaculture farmers’ management of fish ponds and realize automatic detection and real-time response of water quality, we developed a LabVIEW-based smart aquaculture system. This system uses applications developed on the LabVIEW platform as the control centre, and uses the NI USB-6001 data collection card to collect parameters like dissolved oxygen, pH scale, water level from sensors, and displays and releases warnings on the monitoring warning interface. When the parameters of dissolved oxygen (DO), pH scale and water temperature fall below the standard values, the system will automatically start the oxygen generator, the pump and the heater to realize automatic control.