bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Ceramic Capacitor Automatic Test Application Technology
Authors: Wu Bo , Hu Xiaohai , Xu Wensheng 
Published: November 2019

Abstract
In order to improve the detection efficiency and quality of reliability screening for electronic component in military industry such as aerospace and aeronautics, and eliminate the hidden safety hazards caused by manual inspection operation, the ceramic capacitor automatic test technology was applied to the electrical performance testing of reliability screening process. An new original automatic detection system by using auto test technology of automatic loading and unloading, instrument automation control and parallel testing was designed and developed to realized one-key automatic measurement of capacitor four parameters such as capacity accuracy, loss, insulation resistance and dielectric withstand voltage. It solved the test quality problem that test data could not be automatically recorded and avoided the harm caused by high voltage and short circuit in the detection process. Finally, with the practical application and test, the efficiency and quality of detection process was improved.
Touchpoint Marketing System Design among Operators
Authors: Yuxin Cai 
Published: November 2019

Abstract
This paper analyzes the demand of telecommunications operators about use and value of big data, and by referring to the Internet thinking and combining the advantages of multi-channel contact marketing of operators, this paper proposed the idea of big data contact marketing system. This paper described the process of building the system of big data contact marketing under the environment of operators on the basis of multi-domain data management, client profile labelling, multi-channel integration and contact marketing. Last, this paper introduces the realization situations of the big data contact marketing system, and analyzes the prospect of its value and future development.
Research on influence factors of product configuration rebuilt design with demand preferences of customers
Authors: Yang Tao , Li Yu Lin , Su Jia Fu 
Published: November 2019

Abstract
In order to improve the personalized demand satisfaction of customers and fully considering the demand preference characteristics of enterprise end customers, an analysis method of influence factors of product configuration rebuilt design considering customer demand preferences was proposed. Firstly, through literature analysis, market survey, questionnaire survey and other means, the demand preference characteristics of enterprise end customers are obtained and analyzed, and the influence factor set of product configuration rebuilt design considering customer demand preference is constructed. Then, the importance of influence factors is hierarchically divided by using the interpretive structural modeling method (ISM), and the key influence factors of product configuration rebuilt design considering customer demand preference are identified. On this basis, an example was given to verify the feasibility, rationality and effectiveness of proposed method.
Parametric Modeling and Finite Element Static Analysis of Large Reflector Antenna Based on APDL and MATLAB
Authors: Li Qin 
Published: November 2019

Abstract
In this paper, a Large Reflector Antenna is taken as the research object and the Parametric Modeling of Antenna Structure is achieved by using APDL language in ANSYS, and the APDL command flow generation was completed with the help of MATLAB, which achieved the program of modeling and improved its efficiency. Meanwhile, the paper applies parameterization to restrain and load the static load of Antenna, and makes an analysis on the Finite Element Static. This provides a basis for the analysis of the stiffness, deformation and structure optimization of Antenna.
The Method of Position Sensorless Inductance Model of SRM Based on FEA
Authors: Tang Xiaozheng , Liu Yidan , Zhao Xuehua , Zhao Shuai , Jiang Mengyao , Ma Hongzhong 
Published: November 2019

Abstract
The paper presents a position estimation method of the Switched Reluctance Motor(SRM) based on inductance model through FEA. The phase inductance of SRM is seriously nonlinear. Based on FEA, Fourier analysis result of phase inductance shows that more than three times harmonic contents are smaller. Ignoring more than three times harmonic, the simplified inductance model is expressed. Then a new rotor position estimation method is presented, which is based on the inductance model. Experiment results show that the effectiveness of the method proposed is verified, and under different saturated conditions, the method can accurately estimate the rotor position of Switched Reluctance Motor.
Unsupervised anomaly detection system for railway turnout based on GAN
Authors: Xue Lei , Gao Shuli 
Published: November 2019

Abstract
With the rapid development of society, the railway system plays an important role in human life, and the safety of railways has become an extremely important task. As we all know, the switch is one of the important equipment to ensure the safe operation of trains. Real-time detection of the turnout current plays a vital role in train safety. However, the previous signal-based processing methods require a large number of feature engineering, which greatly increases the workload of pre-processing. Some neural network-based methods show good performance, but for the time series data of the switch, these methods cannot fully extract its local features, resulting in poor information loss and poor prediction accuracy. Based on the generational confrontation network, this paper proposes a kind of unsupervised anomaly detection system. We combine the one-dimensional convolution with the Generative Adversarial Networks (GAN). The one-dimensional convolution network can effectively extract the local features of the time series. The GAN can self-game learning to sample distribution and is better than self-encoder and other models, which improves the accuracy of prediction. In the real railway system, abnormal data is extremely rare and varied, while unsupervised learning does not require label data, and it can well learn the distribution of normal samples. The system improves the efficiency of the staff, accurately diagnoses the switch, greatly shortens the processing time, and avoids the blindness in maintenance. Using our model on the turnout data, the accuracy rate is 0.992, the recall rate is 0.815, and the F1 score is 0.895.
Research on the Dynamic Properties of Electromagnetic Railgun Launch System
Authors: Li Xuan , Qiu Qunxian , Li Pengfei 
Published: November 2019

Abstract
Electromagnetic railgun launch system is the part designed for launching projectile. The dynamic properties of the launch system contribute to the firing accuracy. This paper models the finite element model of a square-shaped railgun. The Ansys ACP module is used to design the layer of carbon fibre barrel of the railgun. Modal analysis of the launch system is performed using Ansys. On this basis, the modal superposition method is used to calculate the dynamic response of the launch system caused by the electromagnetic expansion force during launching. This paper analyses the steel encapsulation barrel as a comparison and verifies the rationality of using the composite material. The results provide support for the engineering design of electromagnetic railgun.
Study on Laser Cladding Preparation of Bionic Surface of Cast Iron Brake Disc
Authors: Hu Yong , Li Maosen , Liu Xin , Zhai You , Yang Zilong , Li Yan , Zhu Xu 
Published: November 2019

Abstract
The shellfish in nature was taken as the biological model, and the coupling design was carried out on the surface of grey cast iron. With the help of advanced laser cladding technology, the unit body was prepared on the surface of grey cast iron, so as to obtain the bionic samples of grey cast iron with high wear resistance and fatigue resistance. The composition, hardness distribution, morphology and phase of the unit were analyzed by micro-hardness tester, scanning electron microscopy (SEM) and XRD. Thermal fatigue test and friction and wear test were carried out on bionic and untreated grey cast iron samples. The effects on fatigue resistance and wear resistance of bionic laser cladding and grey cast iron were studied by comparing the experimental results. It was found that the laser cladding has a compact structure and a metallurgical bond with the substrate. The hardness of the unit is 2 times of that of the grey cast iron substrate. The thermal fatigue resistance of the material is improved by bionic laser cladding. The bionic laser cladding preparation can greatly improve the wear resistance of materials.
Study of Potential Distribution of UHV AC Arrester in Different Conditions
Authors: Wang Hui , Song Simeng , Yao Weijia , Zang Yiming , Qian Yong , Sheng Gehao 
Published: November 2019

Abstract
As is known to all, uhv ac lightning arrester will be attenuated to varying degrees due to long-term operation on site, including environmental temperature and humidity, breakdown of valve plate and short circuit, leading to uneven capacitor voltage divider, and causing explosion and other dangerous safety accidents in extreme cases. Therefore, it is very important to analyze the electric field potential distribution characteristics of arrester under different operating environment and conditions. In this paper, the equipotential distribution of uhv ac arrester in local damping and local short circuit test is verified theoretically and practically by using fiber optic current method. Based on the field structure and theoretical analysis, the ANSYS 3d theoretical model is constructed to analyze the actual test conditions. The oneness of field test and theoretical calculation shows the accuracy of theoretical calculation.
Research on Control Method of Valve-controlled Heating System
Authors: Zhang Xingchao , Lei Jinhui , Zhang Mingsheng 
Published: November 2019

Abstract
The valve-controlled heating system mainly controls the hot water flow to achieve the automatic adjustment of the room temperature. However, the common flow control algorithms have some disadvantages, such as large overshoot and slow response, which cannot meet the requirements of fine control of the system. On the basis of optimizing the fuzzy control algorithm, a model reference predictive fuzzy adaptive control method is adopted in this paper. The system simulation test showed that this control method had good dynamic performance and anti-jamming performance, which could achieve the relative accurate control of room temperature, and achieve control objectives.
Research on system testability index allocation of substation digital metering system
Authors: Wu Xiang , Huang Tianfu , Wu Zhiwu , Guo Zhiwei , Wang Chunguang , Yang Sen 
Published: November 2019

Abstract
In the testability engineering of measurement system, if the allocation of testability indicators is not combined with the overall scheme of the system, it will lead to the indicators too high to achieve or too low and thus lack of binding effect. At present, the test scheme for digital metering system can only effectively guarantee the accuracy and reliability of a digital metering device when it runs alone, and can not fully reflect the performance of this device when it runs as part of a complete system. Combining with the digital measurement system of substation, this paper introduces the engineering prediction method into the system, and designs the allocation scheme of testability index and an integrated framework for system-level testability scheme and index allocation. It has reference significance for optimizing the design scheme of testability, reducing the time and cost of testing, and improving the test efficiency.
Study on Test Method of Energy-saving Performance for Coal additives in Slime
Authors: Wang Zheng , Li Hongtao , Ji Yunguang , Chang Hao , Xue Shuqi 
Published: November 2019

Abstract
Adding coal additives in civil water heating coal furnace can effectively reduce coal consumption and has great economic benefits, but there is no standard method for testing energy-saving performance of coal additives in slime. Referring to GB/T 16155-2018 “Test Method for Performance of Civil Water Heating Coal Furnace”, this paper developed a measuring device for energy-saving performance of coal additives, and proposes a detection method based on the temperature of effluent and backwater as a measuring scale for heating capacity of slime combustion. The experimental results show that the energy-saving effect of coal additives on clean briquette is not obvious when it is sprayed on clean briquette and burned by dry clean briquette, while in wet mixed combustion, the cumulative heat of slime with coal additives increases by up to 50% compared with that of ordinary slime.
Identity-Based Threshold Key-Insulated Proxy Signature in the Standard Model
Authors: Chen Jianhong 
Published: November 2019

Abstract
Loss of secret keys is the deadly attack in public key cryptosystems. We present an identity-based threhold key-insulated proxy signature (IBTKIPS) scheme to settle the problem of key exposure in the identity-based proxy signature system. The proposed IBTKIPS scheme is secure in the standard model. In the IBTKIPS scheme, we use at least k out of n helper keys to refresh the temporary secret keys. The IBTKIPS scheme is more flexible and securer than the identity-based proxy signature scheme.
Research on the relationship between government policy and enterprise production decision in green background
Authors: Cai Xiaotian , yang Yang , Li Zhe 
Published: November 2019

Abstract
In the low-carbon background, China must develop green manufacturing actively, and take a new road to industrialization. Government subsidies can promote the promotion of low-energy products, and thus control the total carbon emissions. Aiming at production decision of a kind of manufacturing business, A 0-1 Nonlinear decision model was built with consumer surplus as the optimization objective. This model provided guidance for the government policy decision and the firm production decision. A genetic algorithm was put forward to solve the 0-1 nonlinear decision model. A case study of refrigerator was reported to demonstrate the feasibility and rationality of this approach.
Application and Prospect of Human-Machine Interaction in Power System
Authors: Yunfeng Zou , Mingming Pang 
Published: November 2019

Abstract
Poser system provide many scenarios the innovation of human-machine interaction technology. Four advanced human-machine interaction technologies in power system are introduced and the necessity of human-machine interaction in power system are summarized from four aspects. Development Course of Human-Machine Interaction in Power System are divided into five generations based on technical characteristics. Four technological trends which should be focused on are given.
Research on inertial stabilization platform on mobile carrier in complex environment
Authors: Yang Shuqiang , Zhu Hairong , Zhang Qianqian 
Published: November 2019

AbstractThe inertial stabilization platform on the mobile carrier has been widely used in military and civilian fields, such as modern satellite TV receiving and broadcasting, mobile satellite communication for vehicles and ships, as well as cash transport vehicles, public security, fire protection, disaster relief, environmental monitoring and many other industries. The platform needs the ability to isolate the effects of carrier motion, and to ensure the interception, identification and tracking of the target signal under various meteorological conditions. We choose the platform of photodetector component. It uses the electromechanical to control detector according to the instructions, automatically identifing and capturing the target. In the working process, the servo system is the key guarantee of the high performance of the platform. According to the high precision, fast response, wide frequency band and strong robust performance requirements of the system, we propose a single neuron adaptive PI+DOB (Proportional Integral+Disturbance Observer) control strategy, a method for continuous nonsingular terminal sliding mode control and a improved statistical model adaptive filtering algorithm. Through theoretical research and experimental analysis, our method improves the performance parameters based on the original system, and provides theoretical support for future researchers to develop high-precision inertial stabilization platform.
Improved text sentiment classification method based on BiGRU-Attention
Authors: Zhou Liang , Bian Xiaoyong 
Published: November 2019

Abstract
Aiming at the problem that the traditional text sentiment classification method is not sufficient for text context information learning and key feature extraction ability, this paper proposes a BiGRU-Attention based text sentiment classification method to classify Chinese texts. The method used a Bidirectional Gated Recurrent Unit (BiGRU) instead of the Bidirectional Long Short-Term Memory network (BiLSTM) to build a hidden layer, and introduces an attention model to input the result of each time point in the hidden layer to the fully connected layer yields a probability vector. Then use this probability vector to weight each hidden layer result and add it to get the result vector. The experimental shows that the model this paper proposed has better accuracy and effectiveness in text classification.
A Concurrent Dual Mode Adaptive Switching Blind Equalization System in Impulse Noise
Authors: Lei Yingke , Liao Xichang 
Published: November 2019

Abstract
Due to the influence of various factors, the noise in actual digital communication system is non-Gaussian and always assumed to be impulse noise. But most blind equalization algorithms are mainly directed against Gaussian noise and the performance of common algorithms under impulse noise is poor. So, in this paper, we have studied the problem of channel equalization under impulse noise and improved the fractional lower order constant modulus algorithm(FLOM-CMA). Then, by convex combining with decision-directed least mean p norm(DD-LMP) algorithm, a new concurrent adaptive switching blind equalization system had been proposed here. The advantages of different modes are fully combined in our system by soft-switching, which is the FLOM mode is used to make the equalization process converge quickly, and then, after the eye map of signal is open, the joint parameter is gradually reduced to zero and our system adaptive switching to DD mode to improve its convergence accuracy. The excess mean square error(EMSE) of our system is analyzed, and several experiments have been simulated to prove that our system performs better than other traditional algorithms.
Research on the Propagation Characteristics of Social Events in the Context of Micro-media
Authors: Zhi Hui , Wang Nan 
Published: November 2019

Abstract
With the great development of information science and technology, a variety of communication tools have come out, which enormously improved efficiency and speed of social communication, and people’s living conditions have endured a great change. The social events has always drawn mass attention and reflected publice focus, and people will soon get together, talking about social events by micro-media, such as QQ, Wechat, micro-blogs. The way people talked and publicized by micro-media, as well as the outcome, are all things we are going to research on.
Study on abnormal detection of ecg signal base on DCNN
Authors: Keyou Guo , Liping Ma , JiaTong Qin , Yunxia He 
Published: November 2019

Abstract
In this paper, the Dropout deep convolutional neural network based on ecg signal anomaly detection method is proposed. Then, the double threshold method is used to detect the R wave and calculate the width of corresponding QRS wave group and the position of QRS wave is taken as the reference to include several points forward and backward respectively. These data points are intercepted and made into data sets for training and testing of deep convolutional neural network. Finally, the data set is read into deep convolutional neural network for abnormal measurement, and the test results are statistically analysed. In this paper, the detection rate of QRS composite wave is up to 99.5%, and the classification accuracy of abnormal signals can reach 99.26%. Experimental results show that the algorithm has the characteristics of high implementation rate, high accuracy, convenient and fast.
An improved scheme of searchable encryption algorithm based on NTRU
Authors: Cheng Sipei , Li Mengdong , Duan Yuwei 
Published: November 2019

Abstract
R. Behnia et al proposed a NTRU-based searchable encryption scheme in 2017. Compared with the previous searchable encryption scheme, this scheme has a great improvement in security and efficiency, and can resist quantum computing. But this scheme will expose a lot of information to the server. If the server is not completely honest, an attacker can use the information to attack a user’s keywords. This paper proposes an improvement of Rouzbeh’s scheme, solves this problem and improves security.
Classification of Alzheimer’s disease in MobileNet
Authors: Lu Xiaoling , Wu Haifeng , Zeng Yu 
Published: November 2019

Abstract
As the aging of Chinese society becomes more and more serious, the number of elderly people has increased dramatically. At the same time, the number of patients with Alzheimer’s disease (AD) has increased. At present, the main diagnostic method for Alzheimer’s disease relies on experienced radiologists to analyse brain structural nuclear magnetic resonance (MRI) images to judge the condition, but this method is time-consuming and labor-intensive, and there is a certain subjectivity. This may cause misdiagnosis. By classifying the MRI images of patients with Alzheimer’s disease and healthy controls (NC), for image classification, the Convolutional Neural Network (CNN) in deep learning has outstanding performance and accurate classification. The VGG 16 network model and the MobileNet network model of the convolutional neural network are compared, using deep learning and transfer learning. We can find that the MobileNet network model is superior to the VGG 16 network model in classification accuracy.
Shellcode Location Based on Register Information Flow
Authors: Song Yu , Kuang Hongyu , Wang Jian 
Published: November 2019

Abstract
Due to the high detection accuracy of dynamic simulation in which network traffic is sent to the emulator as executable code to detect suspicious behaviour, static analysis has become less popular. Earlier static shellcode detection methods are mainly based on statistical method which focus on instruction abstract features or byte patterns. Although these method can be used for detection, it can’t guarantee the detection effect.
It is hard for both of them to locate the position of shellcode. However, a new static analysis based approach is proposed in this paper. The shellcode instructions rely heavily on contextual information, so we use static disassembly to capture the fine-grained malicious mode of registers. In order to enhance the detection performance, several rules are designed based on the characteristics of the shellcode. Experimental results show that our method has certain potential, which may show better effects when combined with other shellcode detection methods.