bluuebunny/crossref_metadata_2025 huggingface dataset:
Stochastic traffic modelling and decentralised signal control based on a state transition probability model
Authors: Xu Yunwen , Li Dewei , Xi Yugeng
Published: June 2018

In this study, the authors develop a state transition probability model for an isolated intersection on the basis of link‐based state transition probability matrix. The state of an intersection is defined as the combination of its input links’ states which represent their respective congestion level by occupancy rate. This way of modelling is further extended to a compact region by likening the region to a virtual node with several virtual input links to avoid dimension expansion. Based on the state transition probability model, the stochastic signal control problem for both intersections and compact regions is formulated as a Markov decision process with the specified definition of state, action, probability and reward. A sensitivity‐based policy iteration algorithm is employed to solve the Markov decision process in real‐time, which has a great advantage in computational efficiency. The results of the numerical study on a calibrated network of Caohejing District in Shanghai indicate that the authors’ proposed method outperforms the fixed‐time and actuated signal control at high loads in terms of many indices and greatly decreases the variability in the traffic performance. In addition, the compact region control can improve the optimisation efficiency while providing similar performance to the intersection control at different loads.
Impedance matching bandpass filter with a controllable spurious frequency based on λ/2 stepped impedance resonator
Authors: Kim Phirun , Chaudhary Girdhari , Jeong Yongchae
Published: June 2018

An impedance matching bandpass filter (BPF) with arbitrary image impedance (Z2) of parallel/antiparallel coupled lines SIR is presented in this study. The proposed structures consist of conventional SIRs and additional transmission lines with an electrical length of π/2–θ2 at the input and output ports. Moreover, the coupling coefficients of the coupled line can be controlled by the image impedance and it does not affect the bandpass responses. Since the first spurious frequency of the conventional SIR BPF can be suppressed with a transmission zero by using antiparallel coupled lines, the proposed BPF can provide wide stopband and high attenuation characteristics. For the experimental validation of the proposed filter, three types of BPFs with 20–50 and 50–100 Ω termination impedances were designed and fabricated at the operating centre frequency (f0) of 2.6 GHz. By using the antiparallel coupled line instead of the parallel coupled line, the first spurious frequency is occurred at 3.71f0 and the stopband rejection considerably improved.
Synthesis of large‐scale non‐uniformly spaced 4D arrays using an IFT method
Authors: Yang Feng , Yang Shiwen , Chen Yikai , Qu Shiwei , Long Weijun
Published: June 2018

A fast pencil beam synthesis method for large‐scale non‐uniformly spaced four‐dimensional (4D) arrays is presented in this study. It separates a non‐uniformly spaced 4D array into several excitations dependent ‘conventional arrays’ with an identical array structure. Far‐field radiation patterns of the two ‘conventional arrays’ correspond to the patterns at the centre frequency and the sidebands, respectively. An interpolation in a least square sense is then used to interpolate the non‐uniform array structure with a uniform virtual array structure. Therefore, the iterative fast Fourier transform (IFT) method can be used to synthesise the two dependent ‘conventional arrays’ with a uniform virtual array structure. Owing to the efficiency of the fast Fourier transform, the proposed method is measurably faster than existing methods, especially for ultra‐large‐scale 4D arrays. Numerical examples including non‐uniformly spaced 4D linear array (1024 elements) and non‐uniformly spaced 4D planar array (32 × 32 = 1024 elements) are presented to validate the efficiency of the proposed method.
Characteristics of signal propagation in multiferroic majority logic gates subjected to thermal noise
Authors: Wei Bo , Cai Li , Liu Bao Jun , Yang Xiao Kuo , Li Cheng
Published: June 2018

The error rates of multiferroic majority logic gate (MLG) in the presence of thermal noise fluctuation are evaluated via solving the Landau–Lifshitz–Gilbert equations. It is found that in the pre‐stress condition, magnetisation orientations of nanomagnets in the MLG denote an initial 4°–10° departure from the easy axis direction due to random thermal noise field. This phenomenon may be the main origin of switching errors of multiferroic logic gates at high temperature. Specifically, in the post‐stress condition, it has been seen that larger spacing between nanomagnets leads to a high error rate, up to 50%, which arises from weak dipolar coupling interactions and strong thermal fluctuations. However, opposed to their expected, small spacing between nanomagnets leads to a higher error rate, up to 90%, which mainly arises from spontaneous magnetisation reversal induced by weak stress anisotropy energy. Therefore, moderate spacing is very important to MLG switching at room temperature, for example the optimal spacing is 250–310 nm for MLG constructed with nanomagnets having shape anisotropy energy of 623 kT. These findings can provide guides on multiferroic logic circuit design.
Synthesis of low shrinkage monolith alumina aerogels by surface modification and ambient pressure drying
Authors: Li Chi , Gong Zheng , Ding Likang , Guo Donglai , Hu Wenbin
Published: June 2018

The authors have synthesised a kind of low shrinkage alumina (Al2O3) aerogel using an inexpensive salt of aluminium (AlCl3 ·6H2 O) via tetraethoxysilane modification and an ambient pressure drying process. The morphology, pore structure, surface group, crystal phase and thermal properties of the Al2O3 aerogel are analysed by X‐ray diffractometer, scanning electron microscopy, Fourier transform infrared spectra and nitrogen adsorption test. Further improvement in thermal stability and thermal shrinkage are obtained by incorporation of silicon (Si) atoms during the aerogel preparation. The specific surface area of modified aerogel is 480 m2/g and the diameter shrinkage is 8% after drying, and reach 304 m2/g and 16.5% after heating at 1000°C. The approach, which is straightforward, inexpensive and safe, can be employed to prepare a monolithic mesoporous material with low shrinkage and high‐temperature resistance. This will further promote the potential application of packaging and thermal insulation materials.
Identifying quasars with astrometric and mid-infrared methods from APOP and ALLWISE
Authors: Guo Sufen , Qi Zhaoxiang , Liao Shilong , Cao Zihuang , Lattanzi Mario G. , Bucciarelli Beatrice , Tang Zhenghong , Yan Qing-Zeng
Published: June 2018

Context. Quasars are spatially stationary, and they are essential objects in astrometry when defining reference frames. However, the census of quasars is far from complete. Mid-infared colors can be used to find quasar candidates because active galactic nuclei (AGNs) show a peculiar appearance in mid-infrared color, but these methods are incapable of separating quasars from AGNs.

Aims. The aim of our study is to use astrometric and mid-infrared methods to select quasars and get a reliable quasar candidates catalog.

Methods. We used a near-zero proper motion criterion in conjuction with WISE [W1–W2] color to select quasar candidates. The [W1–W2] color criterion is defined by the linear boundary of two samples: LAMOST DR5 quasars, which serve as the quasar sample, and LAMOST DR5 stars and galaxies, which serve as the non-quasar sample. The contamination and completeness are evaluated.

Results. We present a catalog of 662 753 quasar candidates, with a completeness of about 75% and a reliability of 77.2%.
Differential genetic stability in vineyards of the cultivar ‘Italy’ (Vitis viniferaL.) cultivated in different regions of Southern and Southwestern Brazil
Authors: Zequim Maia Silvia Helena , de Oliveira-Collet Sandra Aparecida , Mangolin Claudete Aparecida , de Fátima P.S. Machado Maria
Published: June 2018

During more than 50 years the vegetative propagation has been the form of maintaining and multiplication of the cv. ’Italy’ vineyards, a ’Bicane’ x ’Muscat Hamburg’ hybrid. In the current study, polymorphism in 17 microsatellite loci was used to evaluate the genetic stability at DNA level in vineyards of cv. ’Italy’ planted in different regions of the states of Paraná and São Paulo, Brazil. Unchanged and equal allele frequency indicating genetic stability was reported in 47% of the microsatellite loci in vineyards of six localities, while allele frequency variation has been observed inScu15vv, Udv44, Udv74, Udv96, Udv107, Udv108, Vvmd5, Vvmd6andVvs3microsatellite loci. AllelesUdv96140andVvs3448, detected in vines in only one of the vineyards, evidenced somatic mutations at molecular level in cv. ’Italy’. Genetic diversity, as result of changes in the allele frequencies in 53% of microsatellite loci, was detected more frequently than somatic mutations due to new alleles. Polymorphism in microsatellite loci revealed different genetic stability in vineyards of cv. ’Italy’ cultivated in six different Brazilian regions and indicated vineyards with less genetic stability as a possible source of somatic mutants, showing traits of agronomic interest with a potential to generate new cultivars.
The Study on Lightning Disaster Risk Assessment Model of 10kV Overhead Line
Authors: wei Song , Yanfeng Wang , shuanghu Wang
Published: June 2018

Taking all kinds of affecting factors into account, the 10kV overhead line of distribution network lighting disaster risk is studied. Historical hidden fault, line equipment, topography, climatic conditions and social impact are selected as key factors of damage and the impact. The correlation among the factors and the weight ratio of each factor were studied. The risk assessment model of 10kV distribution network overhead line was established by multi-factor, hierarchical classification assessment method. It solves the evaluation index insufficient problem of the single factor as the evaluation condition, and provides the theoretical research and practical support to the 10kV overhead line reconstruction and the lightning prevention. The reliability and effectiveness of the research results have been proved by practical application in distribution network operation and maintenance control.
APT Attack Analysis in SCADA Systems
Authors: Zhou Xiaojun , Xu Zhen , Wang Liming , Chen Kai , Chen Cong , Zhang Wei
Published: June 2018

SCADA (Supervisory Control and Data Acquisition) systems play a significant role in ICS (Industrial Control System). Safety, security and stable operation is crucial to the SCADA system. However, SCADA system currently faces many security threats, of which the most harmful is the APT attack. This paper analyzes the attack surface and its own vulnerabilities of SCADA system, and analyzes the characteristics of APT attack comprehensively. Then the paper dissects the cases of real APT attack thoroughly and gives measures of SCADA security protection.
Behavior Based Anomaly Detection Model in SCADA System
Authors: Zhou Xiaojun , Xu Zhen , Wang Liming , Chen Kai , Chen Cong , Zhang Wei
Published: June 2018

With the arrival of Industry 4.0, more and more industrial control systems are connected with the outside world, which brings tremendous convenience to industrial production and control, and also introduces many potential security hazards. After a large number of attack cases analysis, we found that attacks in SCADA systems can be divided into internal attacks and external attacks. Both types of attacks are inevitable. Traditional firewalls, IDSs and IPSs are no longer suitable for industrial control systems. Therefore, we propose behavior-based anomaly detection and build three baselines of normal behaviors. Experiments show that using our proposed detection model, we can quickly detect a variety of attacks on SCADA (Supervisory Control And Data Acquisition) systems.
Research on Evaluation of College Students' Professional Ability Based on K-means Clustering
Authors: Chen ChuanShi , Liu Kun , Ma Kun
Published: June 2018

This paper presents a program to evaluate students' professional ability, which transforms the students and their teaching and practice activities during school into the form of topological graph, analyzes the similarity between student nodes, calculates teaching activities and students' professional ability through Apriori algorithm, and uses the K-means algorithm to cluster student data with different parameter sets based on different measurement goals. This paper analyzes the overall professional ability of students, compares cultivating differences among students in accordance with different professional ability, and finally gives the results of the analysis to facilitate teaching managers understand the distribution of students' professional ability to develop appropriate teaching plans.
The Optimization of Cost-Model for Join Operator on Spark SQL Platform
Authors: Lian Xin , Zhang Tianyu
Published: June 2018

Spark needs to use lots of memory resources, network resources and disk I/O resources when Spark SQL execute Join operation. The Join operation will greatly affect the performance of Spark SQL. How to improve the Join operation performance become an urgent problem. Spark SQL use Catalyst as query optimizer in the latest release. Catalyst query optimizer both implement the rule-based optimize strategy (RBO) and cost-based optimize strategy (CBO). There are some problems with the Catalyst CBO module. In the first place, the characteristic of In-memory computing in Spark was not fully considered. In the second place, the cost estimation of network transfer and disk I/O is insufficient. To solve these problems and improve the performance of Spark SQL. In this study, we proposed a cost estimation model for Join operator which take the cost from four aspects: time complexity, space complexity, network transfer and disk I/O. Then, the most cost-efficiency plan could be selected by using hierarchical analysis method from the equivalence physical plans which generated by Spark SQL. The experimental results show that the total amount of network transmission is reduced and the usage of processor is increased. Thus the performance of Spark SQL has improved.
The address matching method of malfunction service worksheet of power customers based on standard address base
Authors: Xu Xin , Fu Jun , Sun Zhijie , Li Xuemei
Published: June 2018

Processing methods stay at the manual processing level, which is inefficient. By analyzing the address of 95598 worksheet of power customers, a standard address base structure and matching rules for storing standard data sets are established, and a matching method of 95598 incident worksheet of power customers based on standard address base is proposed. Drawing on the segment of standard address base, the method also defines the maximum length of the forward matching algorithm and can match along the self-defined address matching rules. It reduces the number of matches between the address to be matched and the standard data set, decreases the target data set used in the next participle, and improves the matching efficiency. In addition, by defining ambiguous addresses and expanding the rule tree, the matching success rate of the addresses to be matched and the flexibility of system implementation are improved
Adaptive replica consistency policy for Kafka
Authors: Guo Zonghuai , Ding Shiwang
Published: June 2018

With the rapid development of the Internet, such as storm, s4, sparkstreaming and other large data real-time computing framework, is widely used in real-time monitoring, real-time recommendation, real-time transaction analysis and other systems for real-time consumption of data streams, Kafka messaging system has been widely deployed. Aiming at the problem that the Kafka cluster needs a lot of network overhead, disk overhead and memory consumption to ensure the reliability of the message, the clustering load is increased, and a replica adaptive synchronization strategy based on the message heat and replica update frequency is proposed. It is proved that the Kafka cluster can guarantee the reliability of the message, and it can significantly reduce the overhead of the resource and improve the throughput of the cluster by using the method of dynamically adjusting the replica synchronization to reduce the system resource consumption while ensuring the reliability of the message. to ensure the system availability and high performance.
A high-accuracy indoor positioning system based on UWB
Authors: Liu Hanyu , Zeng Yanhan , Li Ruguo , Huang Huajie
Published: June 2018

In this paper, a high-accuracy indoor positioning system based on the ultra-wideband (UWB) technique is proposed. The proposed system uses a simple ranging process to obtain the distance between the mobile node and the fixed base stations. Besides, an improved time of arrival (ToA) algorithm with Kalman filtering is proposed to improve the positioning accuracy. Measurements have been performed in the real indoor 13m*7.6m environment with many obstacles and the root-mean-square error (RMSE) is less than 0.3m. The proposed system offers a wide range of application in robotics, industrial automation, post-sorting system and so on.
Research on Modeling and Simulation of the anti-submarine patrol aircraft taking call search task using the circular sonar buoy array
Authors: Zheng-wei Ma , Fei Long , Xin Ye Zhao
Published: June 2018

According to the characteristics of the call search task, this paper analyzes the submarineposition dispersion model, and puts forward the evaluation model of the submarine buoy array searchprobability based on the method of the circular sonar buoy array. The correctness of the model is proved bythe computer simulation method, and the results show that the results of the submarine search are closelyrelated to the submarine position, and the method can provide a useful reference for the optimal use of sonararray.
FPGA Accelerating Core Design Based on XNOR Neural Network Algorithm
Authors: Yi Su , Xiao Hu , Yongjie Sun
Published: June 2018

The current deep learning application scenario is more and more extensive. In terms of computing platforms, the widely used GPU platforms have lower computational efficiency. The flexibility of APU-dedicated processors is difficult to deal with evolving algorithms, and the FPGA platform takes into account both computational flexibility and computational efficiency. At present, one of the bottlenecks for limiting large-scale deep learning algorithms on FPGA platforms is the large-scale floating-point computing. Therefore, this article studies single-bit parameterized quantized neural network algorithm (XNOR), and optimizes the neural network algorithm based on the structural characteristics of the FPGA platform., Design and implementation of the FPGA acceleration core, the experimental results show that the acceleration effect is obvious.
A Synthetic Aperture Radar Image Model of Ship on Sea
Authors: Wang Tong , Tong Chuang-ming , Gao Qian , Li Xi-min
Published: June 2018

Double scattering between the ship and sea surface is an important characteristic for ship detection. Based on geometrical optics (GO), a modified GO-GO solution is presented to evaluate the double scattering from sea and the tilt facets of ship at high frequency. Direct scattering contributions from ship and sea are evaluated by using physical optics (PO). To get a synthetic aperture radar (SAR) image, double bounce and shadow effects on range dimension of SAR image are considered. The results show the relationship between the azimuth angle and the scattering power. The research on SAR image of ship-sea and results about double scattering between ship and sea have a great application value in ship detection
from SAR image.
The Method for Risk Assessment of SSR Caused by Doubly-Fed Wind Farms
Authors: Yu Xiao , Lu Guofei , Chen Wuhui , Wang Danhui
Published: June 2018

The existing method for investigating the subsynchronous resonance (SSR) caused by wind powergeneration is mainly aimed at a deterministic condition. In order to analyse the impact of uncertain factors onSSR in wind farms, this paper defines the risk matrix and risk index, and develops a SSR-oriented riskassessment method of using probabilistic collocation method (PCM). Considering the uncertain of windspeeds, the proposed method is used to assess the SSR risk of a wind farm. The results show that under thesame wind speed distribution, the higher the series compensation level in the system is, the greater the SSRrisk of the system could be; under the same series compensation level, the SSR risks caused by different windspeed distribution are different, and the system in the areas with lower average wind speed obtains greater
SSR risk.
The Investigation of Anti-Jamming Technology For Temperature Measure System in Spacecraft Thermal Test
Authors: Wanqing An , Xi Zhu , Yao Feng , Shuo Liang , Qingyu Wang
Published: June 2018

At present, the spacecraft thermal test temperature measurement system has not been designed effectively. In the spacecraft experiment, the defects of anti-interference ability and system instability are exposed. Firstly, the composition and status of the temperature measurement system of spacecraft thermal test are analyzed. And then we set up a system to interfere with fault tree according to existing problems, locate the problem and determine the source of the interference. Finally, the anti-interference scheme and implementation are developed, and the test data of anti-interference test system is set up. The anti - jamming performance of the anti - jamming scheme of thermal test temperature acquisition system was evaluated. The results show that it can improve the anti-jamming capability of the spacecraft thermal test temperature acquisition system and improve the stability of the system.
Simulation and experimental research on high-power microwave coupling with computer box
Authors: Huang Liuhong , Yang Jie , Zhang Yaohui , Meng Cui , Li Yaobo , Pan Zheng
Published: June 2018

The electromagnetic coupling characteristics of a computer box under the high-power microwave (HPM) which includes the narrow-band and ultra-wideband HPM are studied. The simulations of radiation field in the computer box show that the optical drive and floppy disk drive are main channels through which the high-power microwave penetrates. The cut-off frequency of this corresponding dielectric waveguide and resonant frequency of computer box are the frequencies on which the coupling field is enhanced. The induced current on the cable show that the peak current value decreases with the increasing frequency. At the same time, the damage effect experiments of the computer under high-power microwave are carried out and the thresholds of three effect levels are summarized. The experimental results and the simulation are verified to some extent.
Design of tunnel illumination control system with solar energy
Authors: Weijiang Zhang
Published: June 2018

In order to solve the unmanned tunnel illumination in remote areas, control system is designed for tunnel lighting. Meanwhile, solar energy is used to solve the energy problem of tunnel lighting. Based on the specific requirements of the highway tunnel, the intelligent control algorithm is designed. On the basis of the algorithm, the intelligent control tunnel lighting system is realized. Control system for tunnel lighting is stable and reliable, unmanned operation can be realized. Practice shows that the intelligent tunnel lighting control system can be successfully applied in remote areas.
Improved Label Propagation Model to Predict Drug - drug Interactions
Authors: Yan Zhice , Zhao Lasheng , Wei Xiaopeng , Zhang Qiang
Published: June 2018

Drug-drug interactions (DDIs) is one of the most concerned issues in drug design. Accurate prediction of potential DDIs in clinical trials can reduce the occurrence of side effects in real life of drugs. Therefore, we propose a model to predict DDIs. The model integrates several methods that can improve label propagation algorithm. Firstly, the chi-square test (CHI) method is adopted to filter or select the features that contain a large amount of information. Secondly, the sample similarity calculation method is reconstructed by label similarity and feature similarity. Then the label initialization information of unlabeled samples is constructed. Finally, we use label propagation algorithm to estimate the labels of the unlabeled drugs. The results show that the proposed model can obtain higher the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPR), which provides a favorable guarantee for the discovery of DDIs in the clinical stage.
Research on Trajectory Planning and Tracking of Hexa-copter
Authors: Wang Qiyu , Zhang Huijie , Han Jinrong
Published: June 2018

In this paper, the flight control problem of hexa-copter is studied in detail from threedimensional trajectory planning to tracking. Then the cubic spline interpolation method is used to generate the trajectory by using these time marked waypoints. The flight trajectory curve produced by this method is smooth, twice differentiable, and it is easy to control implementation. The flight dynamics model of the UAV has the characteristics of multi-input multi-output, strong coupling, under-actuation, severe nonlinearity and external environmental disturbance. In order to improve the accuracy of flight trajectory and the stability of attitude control, a multi-loop sliding mode variable structure control method is proposed to achieve the hexa-copter flight trajectory tracking. The simulation results show that this method can track the predetermined flight trajectory and keep the attitude stability of the UAV normally.
Robust control method for bionic gait of machine legs based on time delay feedback
Authors: Xing-Hua Lu , Peng-Fen Huang , Wei-Peng Huang
Published: June 2018

The bionic machine leg is disturbed by the joint during the walking process, which is easy to produce time delay, which causes the robustness of the control of the machine leg is not good. In order to improve the robustness of the bionic gait control of the machine leg, a robust control method for the bionic gait of the machine leg based on time - delay feedback is proposed. The gait correlation parameters of robot leg are collected by sensor array, and the dynamic model of bionic gait is constructed. The fuzzy controller of bionic gait of robot leg is constructed by using time-delay coupling control method. The delayed feedback control error compensation method of machine leg correction is taken to improve the steady control performance of the robotic leg, reduce the steady-state error, improve the robustness of the control machine leg. The simulation results show that this method is robust to the bionic gait control of the machine leg. The output error of the gait parameter can quickly converge to zero, and the accurate estimation of the attitude parameter is stronger.
Research on Vehicle Track Tracking and Vehicle Reverse Lookup Algorithm Based on Ultrasonic Waveform Recording
Authors: Zhang Guiqing , Xue Wei , Tian Chenlu , Liu Xiaoqian , Li Yong , Pan Leilei
Published: June 2018

In order to solve the problems of garage expand, video based searching costs high, ultrasonic detector based searching cannot achieve. This paper presents a vehicle trajectory tracking algorithm based on ultrasonic waveform recording. Parking management system can determine the parking position through the ultrasonic detector, so as to achieve vehicle reverse lookup. The system first uses the vehicle license plate recognition system to obtain the vehicle information, and sets the ultrasonic detector at the intersection to perceive the detection time and waveform recording signal. Firstly according to the time series determine the direction of the vehicle at the intersection. Then via the ultrasonic wave curve of two directions at the intersection to Identify the vehicle profile and determine the turning direction. Finally, the car's parking position is tracked through the parking space detector. This paper developed the WeChat public number for vehicle reverse lookup and payment. The user concerned to find car only need to enter the license plate number and can pay online fare. The system has been tested to be stable and reliable, which is a feasible solution to realize vehicle reverse searching at low cost.
The multi-serial port driving research of video monitoring system based on the Internet of things
Authors: gaojie  , xujun
Published: June 2018

considering the design of multi-serial port drive of the Video monitoring of the Internet of things system is similar to the design of common character device driver. Serial driver is an essential character of device driver. This paper focuses on the technology of multi-serial port programming which based on the core design of tty.
Power load forecasting algorithm based on nonlinear inertial factor change pattern particle swarm optimization algorithm
Authors: Liang Jin , Yongzhi Wang , Xiaodong Bao
Published: June 2018

The common method of power load forecasting is the least squares support vector machine, but this method is very dependent on the selection of parameters. Particle swarm optimization algorithm is an algorithm suitable for optimizing the selection of support vector parameters, but it is easy to fall into the local optimum. In this paper, we propose a new particle swarm optimization algorithm, it uses non-linear inertial factor change that is used to optimize the algorithm least squares support vector machine to avoid falling into the local optimum. It aims to make the prediction accuracy of the algorithm reach the highest. The experimental results show this method is correct and effective.
Radiant Source Signal Recognition Algorithm based on SAE
Authors: Wen-qiang Ye , Zhi-fu Yu , Kui Zhang , Hu-bang Wang
Published: June 2018

Aiming at the shortcomings of traditional radar identification based on artificial judgment and module matching, this paper proposes an intelligent identification algorithm based on joint time-frequency. The radar radiation source signal is transformed by time-frequency, and the processed signal is input into the automatic encoder through different kinds of dimensionality reduction methods, and the pre-training adjustment depth learning model is adopted, and the commonly used softmax classifier is adopted to the pre-training model. Oversee fine school and identification, and finally complete the identification task. The simulation results show that high recognition rate can be achieved by this algorithm, and the joint dimension reduction is better than other methods.
Joint Error-Dimming Control Using Constant Weight Coding in Visible Light Communication Systems
Authors: Zuo Yu , Zhang Jian
Published: June 2018

To enhance commercial implementation, visible light communication (VLC) should facilitate dimming control and reliable data transmission simultaneously, where users can adjust the brightness levels arbitrarily. Constant weight code (CWC) based dimming method can achieve higher spectral efficiency, but the codewords need further selection to exponentially map the massage. In this paper, based on CWC, we proposed a method to achieve dimming control as well as improve error performance via optimizing the average Hamming distance of the codeword set. Simulation results show that the optimal codeword set can achieve better error performance.
The Safety Assessment of the Operation of Urban Rail Transit Based on Generalized Regression Neural Network
Authors: Guo Kai , Gao Jingsheng , Ye Junneng , Yi Dexin , Kong Song , Huang Hui , Qiu Dan , Gao Wei
Published: June 2018

This paper presented a methodology to assess the operation safety of the urban rail transit system by using the generalized regression neural network. By comparing the evaluated values with the graded scores of the experts, the results indicated that predictions by using the generalized regression neural network only have 5.38% averaged relative error compared with experts’ scores. Therefore, the GRNN was capable of evaluating and predicting the operation safety of the urban rail transit system.
Object Recognition of Environmental Information in the Internet of Things Based on Augmented Reality
Authors: Shasha Chen , Mei Wang , Xuebin Qin
Published: June 2018

With the rapid development of Internet of things, on the basis of existing mine technology, As the basic digital mine, the detection system will become more and more mature with the construction of digital mines.This article takes China‘s coal production as the main basis, developed a matching coal mine augmented reality system, This article uses augmented reality technology to provide information through computer systems, increase the perception of coal mine workers on the real environment, and superimpose computer-generated prompt information into the real scene of the coal mine, realize "enhancement" of real coal mine environment.The experimental results show that this system is workable.Object recognition of environmental information in the Internet of things based on augmented reality system designed and implemented in this paper, in providing a new direction for Research on IoT Smart Mines and Application of Mobile Devices.
Impact of Shunt reactor to DFIG Connected to Series-Compensated Power System on Sub-synchronous Oscillation Characteristics
Authors: Wu Yang , Liao Kunyu , Xiao Xiangning , Luo Chao
Published: June 2018

The shunt reactor will affect the sub synchronous oscillation characteristics of the wind power system, and there is no paper that analyse this aspect. To this end, in the DFIG via series compensation transmission power system, use impedance scanning method to measure the total equivalent impedance of system side and DFIG side, the mechanism of the influence of the installation position and capacity of the shunt reactor on the sub synchronous oscillation characteristic of the system is analysed. The analysis results show that the larger capacity of shunt reactor, equivalent impedance effect is larger, the installation position that is very near the fan can reduce the resonant frequency and increase the resistance of resonance point, being far from the fan will increase the resonant frequency and the absolute value of the negative resistance in the resonance points, besides, the effect of parallel capacitor on system impedance is very small. Finally, the correctness of the theoretical analysis is verified by the time-domain simulation.
Early Warning of Electric Characteristic Parameters on Electric Power System Based on Embedded System
Authors: YANG Zhangli
Published: June 2018

In order to avoid the operation accidents of power system caused by the influences of various artificial or nature factors, the paper explored the early warning of characteristic parameters on power system based on embedded system. In the paper, it taken a 110kV substation as an example, studied on therelated algorithm of the electric characteristic parameters, constructed the hardware and software platformbased on embedded microprocessor, and designed the hardware circuit and software control program. The commissioning test demonstrated that it could accurately judge the latent fault of related devices, and send correctly the trip command to make the isolation between the fault device and the power system so as to protect the system from being damaged. The experiment results show that it is effective and available to early warning of power system.
Development of discrimination technology associated to protection secondary circuits in Smart Substation Based on Semantic Features of SCD
Authors: Bao Wei , Gao Xiang , Wang Ke , Geng Qi , Song Jie , Zeng Ping , Zhou Desheng
Published: June 2018

As a core part of smart substation, SCD files make secondary circuits in smart substation becoming a ‘black box’, which brings great difficulties to operation and maintenance. This paper proposes the SCD virtual circuit identification technology based on a semantic strength, which can provide an effective technical solution for the SCD management of smart substation, and demonstrates a reference for controlling the maintenance risk of smart substation.
Research on Position Detection Algorithm of Switched Reluctance Motor Based on FPGA
Authors: Gang Xu
Published: June 2018

In this paper, the Cyclone series programmable logic device (FPGA) is used to implement the location detection algorithm. The implementation process requires that the storage space be occupied as small as possible, fast, and less occupied by CPU resources. High speed A/D is used for signal detection conversion. Pipeline optimization technology is adopted to improve working speed. Program module and top layer file is compiled. Experimental simulation verifies the effectiveness and real time of the algorithm.
A New Shaped Waveform Design Scheme for Radar Embedded Communication
Authors: He Shan , Li Baoguo , Lei Jing , Yan Hua
Published: June 2018

In order to improve the covertness of radar embedded communication based on the eigenvalue decomposition radar embedded communication waveform design scheme, a new waveform design scheme that combines the idea of shaped design is constructed. In this paper, the background and concept of radar embedded communication are introduced in detail. Three existing waveform design schemes are analyzed. Using de-correlation filter receivers, a weighted waveform design scheme for shaped non-dominant subspace feature vectors is constructed and analyzed. The communication covertness and reliability is illustrated. Both the theoretical analysis and the simulation show that this scheme improves the covertness of communication.
Classification of fragile states based on machine learning
Authors: Li Yuquan , Yao Hehua
Published: June 2018

The study of fragile states has become a significant issue in global security, development and poverty at present. The existing classification methods of fragile state, which is a simple addition to the national index and threshold segmentation, is not reasonable enough. We introduce a new method based on machine learning. With this method, it will be easier and more reasonable to classify a country. We use two kinds of classifier, one of which is the support vector machine, and the other is the gradient boosted regression trees. Both models have flaws, so we use ensemble learning techniques to combine them. First of all, subjective labelling of a part of the national data to allows the machine to learn why a country becomes vulnerable from these data, and how to classify the vulnerability class of a country. Then, we trained the model with the data, and divided fragile states into four categories successfully (Alert, Warning, Stable and Sustainable). For the classification result, our model got a 93% test error rate, and a 96% training error rate, which is better than 77% with the threshold segmentation method.
Some problems about geometric lattice
Authors: si Lin
Published: June 2018

In this paper, the survey about some results of the convex lattice set are given and the invariance of projection problem of convex lattice set is also obtained. And combining a famous result in the graph theory, several conjectures about the convex lattice set are presented.
Research and Implementation of Multi-User Location Sharing Method Based on LBS
Authors: Leng Jing , Gong Ningjing
Published: June 2018

In order to make up for the deficiency of the lack of the location interaction between users of most LBS based applications in the market, a multi-user location sharing method(MULS) is proposed. Starting from the applications such as ordering food in different places and collective travel, it shows that this method can provide the location interaction between users and improve the location service function of the application. Secondly, the feasibility of the method is illustrated by introducing the principle of MULS. Finally, on the IOS operating system, this method is gradually implemented from several aspects of location acquisition, sharing strategy, data exchange, and overall framework. Conclusions: The MULS method can be implemented on the basis of existing applications. This method can effectively provide the location sharing among users, so that it is possible to achieve the query and positioning of the real-time location of multiple people among team users, team collection progress, the location of non returned team members, so as to let LBS application bring greater convenience to people’s life.
Reinforcement Learning Based Network Selection for Hybrid VLC and RF Systems
Authors: Wang Chunxi , Wu Guofeng , Du Zhiyong , jiang Bin
Published: June 2018

For hybrid indoor network scenario with LTE, WLAN and Visible Light Communication (VLC), selecting network intelligently based on user service requirement is essential for ensuring high user quality of experience. In order to tackle the challenge due to dynamic environment and complicated service requirement, we propose a reinforcement learning solution for indoor network selection. In particular, a transfer learning based network selection algorithm, i.e., reinforcement learning with knowledge transfer, is proposed by revealing and exploiting the context information about the features of traffic, networks and network load distribution. The simulations show that the proposed algorithm has an efficient online learning ability and could achieve much better performance with faster convergence speed than the traditional reinforcement learning algorithm.
Personalized Recommendation Algorithm for Web Pages Based on Associ ation Rule Mining
Authors: Xing-Hua Lu , Wen-Quan Ye , Ming-Yuan Liu
Published: June 2018

In order to improve the user ' s ability to access websites and web pages, according to the interest preference of the user, the personalized recommendation design is carried out, and the personalized recommendation model for web page visit is established to meet the personalized interest demand of the user to browse the web page. A webpage personalized recommendation algorithm based on association rule mining is proposed. Based on the semantic features of web pages, user browsing behavior is calculated by similarity computation, and web crawler algorithm is constructed to extract the semantic features of web pages. The autocorrelation matching method is used to match the features of web page and user browsing behavior, and the association rules feature quantity of user browsing website behavior is mined. According to the semantic relevance and semantic information of web users to search words, fuzzy registration is taken, Web personalized recommendation is obtained to meet the needs of the users browse the web. The simulation results show that the method is accurate and user satisfaction is higher.
Design of Audio Embedding and De-embedding for 3G-SDI Based on FPGA
Authors: Liu Yaqing , Deng Lunhui
Published: June 2018

This design introduces the theoretical basis of digital audio embedding and de-embedding, and proposes a solution that Verilog language can be used to achieve 3G-SDI audio embedding and de-embedding. SDI video and audio data are input to the FPGA, and the audio signals can be embedded in the SDI line blanking after processing. Moreover, some auxiliary information is embedded in the SDI data, when you need these auxiliary information, you need to use the audio de-embedding process. The process of audio de-embedding is inversed with the process of embedding. It has been proved through practice that this scheme can effectively embed digital audio in SDI data stream, synchronize audio and video data, and can de-embed audio signal. The design is very versatile and can improve the efficiency of the design, thus effectively reducing the cost of the product.
Fault Diagnosis Reasoning Algorithm Based on Multi-signal Model
Authors: Li-jia LIU , Jian-wang HU , Hui-xian SUN
Published: June 2018

The multi-signal model is modeled in the fault space and combines the structural model and the dependent model of the system. The modeling work is easy to implement in different layers and is very suitable for fault modeling and fault diagnosis of the Command and control system. After the model is established, how to meet the requirements of fault coverage and fault isolation rate, fault diagnosis reasoning algorithm is particularly important. The system dependency matrix is obtained by establishing a multi-signal model. Based on this, the fault diagnosis reasoning algorithm is studied. The fault diagnosis of Apollo spacecraft before launch is taken as an example to verify the effectiveness of fault diagnosis inference algorithm based on multi-signal model.
The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
Authors: Ma Zhipeng , Yao Shuwan , Fang Yuming
Published: June 2018

In order to test the learning and teaching outcomes in a comprehensive and objective way, it is necessary to have a practical examination based on a reasonable proposal. On one hand, a comprehensive evaluation model is built in the paper. Firstly, we analyze the five evaluation indicators, including the relevance, importance, difficulty, extensibility and enlightenment of knowledge points in the database. Then, the weights of these indicators are calculated by Matlab. Lastly, with the method of coefficient of variation, the model is built to formulate a reasonable Question program for advanced mathematics BI. One the other hand, another evaluation model based on the Kuder-Richarson method is built to assess the reliability of the tests. According to the two quantitative models above, a reasonable solution to the test schemes can be obtained.
Measurement-device-independent quantum private queries by rotation-invariant twisted photons
Authors: Sun Sijia , Yang Yuguang
Published: June 2018

Quantum private query is an important cryptography protocol aiming to protect both user’s and database’s privacy. However, to execute even the simplest quantum private queries, one must establish and maintain a shared reference frame. Here we propose a rotation-invariant Measurement-device-independent quantum private queries with hybrid encoding approach, combined polarization and transverse spatial modes to overcome the polarization misalignment associated with random rotations in long-distance transmission. The initial encoding and final decoding of information in our protocol can be conveniently performed in the polarization space. Furthermore, our hybrid encoding approach only needs to insert four q-plates in practical experiment and to overcome the polarization misalignment problem.
A Research on Network Similarity Search Algorithm for Biological Networks
Authors: Cong SHEN , Xiao-peng DAI , Dong-hui LI
Published: June 2018

The biological network database presents exponential growth, how to find the target network accurately from the network database becomes the difficult problem. This paper proposes a new network similarity search algorithm, the similar network of Top k is calculated by two methods, the similar networks returned by the two algorithms are then filtered by overlap fractions, the weighted reordering algorithm is used to reorder the two sets of data, a precise set of similar network data sets is returned finally.In this paper, the accuracy of the query is judged by the comparison of the edge correctness (EC) value and the maximum public connection subgraph (LCCS) value of the returned sorted similar network data set, and compare query time with other algorithms.From the results, this algorithm is superior to other algorithms in query accuracy and query speed.