bluuebunny/crossref_metadata_2025 huggingface dataset:
Icing aircraft safety analysis based on optimal control of reachable set
Authors: Yu Zhilong , Li Yinghui , Xu Wenfeng , Dong Zehong , Zheng Wuji , Zhou Chi
Published: November 2019

Aiming at the problem that icing leads to poor aerodynamic characteristics and affects the safe flight of aircraft. This paper takes the simplified model of NASA’s Civil Aircraft Research Model (CARM) as the research object establishing longitudinal dynamics model and icing effects model. Based on the optimal control theory of reachable set, the backward reachable set is proposed as the safe flight envelope,which used to analyze the influence of icing on flight safety.It is shown that with the increase of icing degree, the control range of key flight parameters is narrowed, and the possibility of aircraft stall is increasing. The evaluation results are consistent with the actual situation, which can provide some reference for the pilot control.
Microgrid Control Technology Based on Neural-Like P Systems with State Values
Authors: Liang Bin , Yang Guang , Liu Xiaochen , Liu Yangyang , He Zehao
Published: November 2019

By utilizing the mobile energy storage characteristics and random dispersion of electric vehicles, it is coordinated with the wind power storage unit to optimize the economic and reliable operation of the system.In this paper, the integrated microgrid of wind, photovoltaic, energy storage and electric vehicle is studied. Under the premise of ensuring the safety and stability of the system, the control goal is to meet the needs of electric vehicles users as much as possible and to maximize the utilization ratio of new energy. The operation control strategies of power battery under disordered charging and orderly charging/discharging are considered respectively. Subsequently, the operation model of wind turbine generation and electric vehicles orderly charging/discharging is established by using the neural-like P system with "state value", and the operation modes of each unit are obtained according to the operation of microgrid. Finally, the effects of disordered charging and orderly charging/discharging of electric vehicles on the safe and stable operation of the microgrid system are compared by simulation experiments.
Research on Comprehensive Evaluation Method of Belt Conveyor
Authors: Hu Qinghe , Sun Peng , Zhang Shuang
Published: November 2019

In order to reduce the influence of human subjectivity on the evaluation results in the process of equipment evaluation, a comprehensive evaluation method of belt conveyor combined with Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) is proposed. The AHP method is used to determine the impact weights of the belt conveyors. The FCE method is used to comprehensively evaluate the overall operation of the belt conveyor. The rationality and reliability of the proposed method for the comprehensive evaluation of the belt conveyor are verified by an example of operating parameters of a steel enterprise.
A Design of Fuzzy Immune PID Controller for Six-rotor UAV Under Gyroscopic Effect
Authors: Zhou Wen , Wang Xiaoping , Liu Bo , Chang Yipeng , Liu Jia , Zhou Wei , Cai Qiang
Published: November 2019

The six-rotor UAV has the characteristics of vertical take-off and landing, air hovering and large carrying capacity, which can accomplish tasks that cannot be completed by many fixed-wing aircrafts. In recent years, the research of dynamic modelling and control methods of the six-rotor UAV has gradually become hot topics at home and abroad. Considering the gyroscopic effect of the blade, a more accurate dynamic model of the six-rotor UAV is established, and then combined with the feedback mechanism of the biological immune system and the fuzzy control theory, a fuzzy immune PID controller is designed to optimize the parameters of the traditional PID controller, which can perform self-tuning of PID parameters. The position and attitude control of the UAV under hovering state is simulated by Matlab/Simulink software. The results show that compared with the conventional PID controller and fuzzy PID controller, the control system has the advantages of better dynamic and static performance such as shorter response time, smaller overshoot and improves the anti-interference ability and robustness of the system.
Research on Conceptual Design of Nuclear Non-security Distributed control system
Authors: Huang Jie
Published: November 2019

The nuclear non-security distributed control system is very important to the security of the nuclear power system. So some special design is used to ensure the system’s reliability and security. But the redundant design makes the traditional non-security system large in size, more in cabinets and complex in wiring.To solve these problems,we would like to choose new technologies to optimize the system more simple. The new conceptual design can make the non-security distribute control system have less wiring and less cabinets, and the system can be high security.
Design of Robust Positively Invariant Set with Associated Controller for the Multi-rotor UAV
Authors: Li Zhinan , Li Weihua , Wang Peng
Published: November 2019

In this paper, a nonlinear multi-rotor unmanned aerial vehicle (UAV) system with bounded disturbance and input saturation is considered and we design a robust positively invariant (RPI) set for the trajectory tracking problem of the multi-rotor UAV. A nonlinear controller with disturbances offset is designed firstly to ensure the stability of tracking, and the RPI set is constructed based on linear matrix inequalities (LMIs). For the tracking error within the designed RPI set, the designed controller can always guarantee that the tracking error stays in the RPI set forever and eventually converges to zero. The effectiveness of the proposed results are confirmed by the numerical simulation.
Suspect Prediction Based on Naive Bayesian Method
Authors: Hu Zixuan
Published: November 2019

Aiming at the terrorist attacks that have happened in 2015 and 2016, which have not been organized or claimed responsibility by individuals, the suspect prediction algorithm based on naive Bayesian method is used to solve the problem of finding the perpetrators of terrorist attacks. Firstly, we select five terrorist organizations and individuals which are more harmful to terrorist attacks. Then, we use the suspect prediction algorithm based on naive Bayesian method to select the terrorist attacks that occurred in 2015 and 2016, which have not yet been organized or claimed responsibility by individuals. Finally, we use the Sklearn machine learning library of Python to calculate and get all the suspects in each incident. The probability of a suspect is the degree of suspicion.
Study on Risk Intervention, Identification and Warning Techniques for Preventing Fall Injuries in the Elderly
Authors: Jin Zongzhen , Cao Lili , Zeng Yi , Cheng Yonghong
Published: November 2019

Fall injuries have become a major threat to the health and safety of elderly people. Domestic and international studies are increasingly carried out on fall injuries suffered by the elderly. Balance scales, assessment & warning methods and tools are applied in studying falls of the elderly. In particular, devices like dynamic balance instruments, 3D force plates and surface electromyography instruments are used to capture the activity of elderly people and analyze their ability to maintain a dynamic balance. These techniques play an important role in effectively monitoring and assessing the situations of falls in the elderly. This paper sorts up current studies by scholars on falls of the elderly and analyzes the progress in this area from the angles of kinetics and biology. It particularly focuses on analysis of fall intervention using mechanical devices, supportive training services for intervening fall injuries suffered by the elderly, construction of fall injury models, and suggestions for intervening fall injuries at home. This paper finally puts forward some prospects for the study in this area.
Research on Fault Diagnosis and Maintenance Technology of Power Marketing System Based on Centralized Control Mode
Authors: Jiang Hui , Qiao Lin , Liu Wei
Published: November 2019

Fault diagnosis operation and maintenance technology of power marketing system is the key technology for the normal operation of power marketing system, which can ensure the accuracy and effectiveness of fault diagnosis. However, traditional power marketing system fault diagnosis operation and maintenance technology is limited by the transformation of mode, resulting in low reliability and small diagnosis range of fault diagnosis. Therefore, the fault diagnosis and maintenance technology of power marketing system based on centralized control mode is proposed. The fault diagnosis and maintenance model of the power marketing system is constructed, and the centralized control mode is introduced to carry out special operation and maintenance processing for the observer and actuator faults of the power marketing system, so as to realize the fault diagnosis of the power marketing system with the centralized control mode. Experimental data show that compared with the traditional fault diagnosis and maintenance technology, the proposed fault diagnosis and maintenance technology of power marketing system based on the centralized control mode has higher reliability and a breakthrough in the diagnosis range.
Research on Automatic Detection Method of Minor Faults in Electrical Components of Ejection Seat
Authors: Ying Li
Published: November 2019

In order to solve the problems of high error rate and poor efficiency existing in the current ejection seat electrical fault detection process, the automatic detection method of ejection seat electrical component minor faults was studied, and the original features of component minor faults were effectively extracted with ant colony algorithm as component fault diagnosis comparison data. Combined with the minimum binary algorithm, the safe operation parameters of seat electrical components are calculated. Combined with the safe operation parameters, the mini-fault diagnostic device of ejection seat electrical components is constructed, and the original feature parameters of mini-faults of components are input into the underlying database of the diagnostic device. Once the operating parameters of seat components exceed the range of safety parameters, the original feature data of mini-faults in the database are extracted to screen and detect the mini-faults of seat, so as to quickly obtain the cause of the faults and complete the automatic detection of mini-faults of ejection seat electrical components. Finally, experiments show that the error rate of this method is reduced by more than 50 % compared with the traditional component fault location detection method, which fully meets the research requirements.
Research on the performance of multifrontal method in power system simulations
Authors: Wen-Kai Zhao , Wei-Zheng Gong , Bang-Peng Xie , Jia-Lin Wan
Published: November 2019

Efficiency of power system simulation has close relationship to the sparse LU factorization algorithm. Multifrontal method is a notable LU factorization member. This paper investigates the performance of multifrontal method in power system simulations. Performance of multifrontal method heavily relies on the frontal matrix size. Frontal matrix size can be represented by front size. Front size is subject to the treewidth of power network. A treewidth approximation method (TAM) is presented to approximate the treewidth of power network. Two derivatives of TAM are given to tackle the sparse matrices from power flow calculation and small signal stability eigenvalue analysis respectively. Simulation results verify the accuracy and efficiency of TAM and its derivatives. Further results indicate that most power networks have low treewidth, which is prone to degrading the performance of multifrontal method. Multifrontal method is able to gain its performance in power system simulations when the front size of the involved matrix is large enough.
Research on High Voltage Transmission and Transfer Engineering and Environmental Protection of Electromagnetic Radiation Based on Large Data Mining Technology
Authors: Jinyang Li , Dan Yang , Rui Li , Yunkai Lei , Yiming Tang , Hanyu Wang
Published: November 2019

The definition of electromagnetic radiation is that when the source current or charge changes with time, a part of electromagnetic energy enters the surrounding space, which is the radiation of electromagnetic energy. By explaining the mechanism of electromagnetic radiation in high-voltage power transmission and transformation project and the influence and harm of electromagnetic radiation pollution in high-voltage power transmission and transformation project, the standard and management of electromagnetic radiation environmental protection in high-voltage power transmission and transformation project are explained. At the same time, the degree of electromagnetic radiation produced by high-voltage power transmission and transformation projects is also described, which is helpful to correctly understand the electromagnetic radiation problems of high-voltage power transmission and transformation projects and to promote the coordinated development of economy and environmental protection. Applying big data mining technology to predict the probability of failure of microcomputer protection equipment in substation, and developing an effective electromagnetic interference suppression strategy by analyzing the generated model to improve the electromagnetic environment in the substation. Combined with the actual work experience of environmental impact assessment of power transmission and transformation engineering, analyze the status of electromagnetic pollution and public participation, find problems and make recommendations.
The Study for Two-dimensional PtX2 (X=S Se Te) Which Have Geometrical Structures Fully Composed of Pentagons.
Authors: Wu Ping
Published: November 2019

In this paper, we mainly use the first-principles method based on density functional theory to study the structure and electronic properties of three new two-dimensional materials consisting of five-membered rings, PtS2, PtSe2 and PtTe2. Based on the structure of the pentagon tile of Cairo, the substitution of Pt, S and Pt, Se and Pt, Te between the atoms in the unequal position of the minimum repeating unit will result in different structures, and then different structures will be obtained. The obtained structure is optimized, and the phonon spectrum is calculated. Finally, the three phonon spectrum stable structures of penta-PtS2, penta-PtSe2 and penta-PtTe2 are obtained. Then we proved the stability of these three structures from the aspects of dynamics and thermodynamics. Then their electronic properties were studied. From the calculated energy band diagram, we found that these three structures are indirect band gap semiconductors.
Design and research of UT inspection tool in flaw inspection of large-size forging shaft parts
Authors: Hu Chang’an , Kong Linghui , He Min
Published: November 2019

With the development of mechanical equipment towards large-scale and complexity, the size and operational reliability of its key core components is gradually improved. Aiming at the problem of large radial structure size and high mechanical performance of MP1000 miner forging spindle, but low efficiency and reliability of ultrasonic nondestructive testing, which makes it difficult to detect uneven material in forging process, the finite element numerical simulation of ultrasonic flaw detection process of forging spindle is carried out by using software. By analyzing the locations of ultrasonic probes on different buses on the surface of the spindle, the edge areas of the steps and the processing of the ultrasonic probe, the problem is analyzed. The instantaneous distribution of the sound field in the hole position is summarized. The design method of UT testing special tool for large forging spindle is summarized, and the corresponding testing unique tool is designed. This tool can cooperate with UT equipment to effectively detect the uneven defects in the material of shaft parts and effectively improve the detection efficiency of ultrasonic nondestructive testing in the application of heavy forging spindle parts.
Research on the Construction of Electromechanical Specialty under the 3+4 Cooperative Training System of Vocational Education--The Direction of Industrial Robot
Authors: Lu Yaping , Song Tianlin
Published: November 2019

Aiming at the uniqueness of the 3+4 electromechanical profession in the vocational education system, a system for applying talents suitable for the direction of electromechanical industrial robots is proposed. School-enterprise cooperation is the foundation of laboratory construction. The combination of engineering and learning is the entry point for talent training reform. It is equipped with high-quality teachers and real enterprise practice projects to build a first-class industrial robot teaching and training system. It can support the first and second classroom teaching of industrial robot courses, can have the industrial assessment function of industrial robots, can cultivate students’ professional qualities and other functions. At the same time, it aims at the social needs of the 3+4 electromechanical profession of the vocational education system, from the aspect of industrial robot laboratory configuration, practice teaching reform implementation, and teacher team allocation, the professional construction plan is proposed to achieve the purpose of high-quality applied talent training.
Blended Teaching Mode Based on Rain Classroom in College English
Authors: Hanbin Zhang
Published: November 2019

The purpose of the study is to discuss the process of constructing the blended teaching mode based on Rain Classroom and explore the effects of blended teaching mode based on Rain Classroom on College English teaching. This paper concludes that the main components of the blended teaching mode based on Rain Classroom are pre-class study, during-class interaction, and after-class review and expansion. In addition, the blended teaching mode based on Rain Classroom has significant effect on improving college students’ comprehensive language level.
Analysis on an elevator brake magnetic sleeve
Authors: Ren Facai , Qi Peng , Wu Xinghua
Published: November 2019

An elevator brake failed during use. Failure analysis was performed on magnetic sleeve of the elevator brake. The metallographic microstructure and SEM morphology of the elevator brake magnetic sleeve were investigated based on the optical microscope and scanning electron microscope analysis. The results showed that the entrance of foreign materials caused the extrusion wear to local area of the inner surface of the magnetic sleeve.
The Research controller system of Brushless DC Motor Based on DSP
Authors: Wang XiaoShuang , Zhao Jing , Li Wei
Published: November 2019

Brushless DC motor (BLDCM) is a new type of motor which integrates power semiconductor and permanent magnet materials. In this paper, a sensorless brushless DC motor control system based on DSP and CPLD is proposed. The working principles of the control circuit, power inversion circuit and rotor position identification circuit with the core of TMS320F2812 and MAX7000 (EPM7032) are analyzed in detail.The test results show that the system has the characteristics of strong anti-interference, good robustness, fast starting and high efficiency.
A Method for Fault Diagnosis Based on Multidimensional Scaling (MDS) in Analog Circuits
Authors: Li Bing , Cui Jiebing , He Kaifang , Qian Lixin , He Yigang
Published: November 2019

Considering different fault state of the circuit in the nonlinear analog circuit fault diagnosis, the output response of the circuit varies. A Method for Fault Diagnosis of Nonlinear Analog Circuits on the basis of Multidimensional Scaling (MDS) was put forward according to the variable output response. This method can transform the difference of output response under different fault states into a low-dimensional fitting composition and then distinguish the different fault types. Under the condition of single fault of the circuit, the simulation result proves that the method presented in this paper enjoys high accuracy in effectively classifying the different fault types, locating the faulty components and observing the difference among variable faults intuitively in the low-dimensional coordinate system.
A Novel Fault Location Method for Generator Stator Grounding Considering Armature Reaction
Authors: Han Hangjie , Gao Jun , Zhao Huimian , Yin Xianggen , XU Biao
Published: November 2019

Stator grounding fault is very common to the large generator, and the accurate fault location can greatly reduce the time of corrective maintenance. However, this problem can be very hard since the structure of the winding is very complex. In this paper, a fault location method for large generator stator grounding considering armature reaction is proposed. Firstly, the fundamental potential distribution of the stator winding and the influence of armature reaction on the measured voltage are analyzed, and the mathematical relationship among fault position, fundamental potential, fundamental voltage and grounding resistance is then constructed. On this basis, the process of the fault location can be established. Finally, the accuracy and efficiency of the proposed method are verified by extensive experiments performed on PSCAD/EMTDC.
Theoretical Study of Quasi-Three-Level Frequency Doubling Laser
Authors: Ma Zhaoyu , Li Zhi , Wang Lin , Mu Xiaotong , Shang Baoying
Published: November 2019

Considering the spatial distribution of pumping beam, inverted particle number density, fundamental frequency and photon number density in the cavity of the quasi-three-level frequency-doubled laser, the solution of the rate equation depends on four dimensionless synthetic parameters by normalized correlation parameters. By solving the rate equation numerically, a set of general solutions of the equation are obtained. With these curves and expressions, the design of a quasi-three-level Q-switched intracavity frequency-doubled laser and the prediction of the pulse characteristics could be achieved.
Feature Extraction of Conducted Electromagnetic Noise Based on KPCA and Its Application in Main Network
Authors: Lu Min , Huang Junshuo , Sun Minghui
Published: November 2019

In this paper, a new method for conducting EMI noise source identification is proposed. Firstly, the basic principle of the classical KPCA method is analyzed. Then, the core principal component (KPCA) data is selected, and the input space is transformed into the feature space through nonlinear transformation. This method analyzes the relationship between the time and frequency of the electromagnetic interference signal from the frequency domain, so as to extract the time-domain characteristics of the noise signal, and finally diagnose the characteristics that cause the conduction of excessive signal, and according to the characteristics of the noise signal targeted suppression experiment.
Sensorless control of permanent magnet synchronous motor based on adaptive sliding mode observer and sliding mode gain design
Authors: Yang Rui , Tao Caixia
Published: November 2019

Aiming at the chattering problem in the traditional sliding mode observer of permanent magnet synchronous motor, an improved sliding mode observer is designed. The Kalman observer is designed, the phase-locked loop (PLL) control algorithm is introduced, and the problem of phase delay and precision reduction caused by ordinary filter is solved. The simulation results show that the improved sliding mode observer can accurately estimate the rotation speed and reduce the chattering phenomenon in the process of rotor position estimation.
Experimental Research on Distribution Regularity of Stray Current Along Lanzhou Metro Line 2
Authors: Li Meng , Li Yaning
Published: November 2019

Taking the soil along the Lanzhou Metro Line 2 as the experimental object, soil samples of Lanzhou Jiaotong University Station, West Railway Station and Yanbei Road Station have been collected. According to the different soil types, drainage net laying of buried pipeline depth, soil depth, etc., an experimental research on the regularities of distribution of stray current was carried out. The experimental results show that (1) the stray current can be effectively reduced by the laying of the currents drainage net; (2) the buried pipeline can strengthen the influence on stray current; (3) the stray current will be smaller with the deepening of the soil depth. Thus, a theoretical reference for the formulation of the corrosion protection scheme for the stray current of Lanzhou Rail Transit Line 2 was provided.
Research and analysis of control strategy for dual fuel thermal power unit
Authors: Sun Yongbin , Tang Haoyuan
Published: November 2019

It is mainly introduced that the design type of the M701F heavy dual fuel gas turbine unit, the fuel choice and the transformation, five kinds of control mode and the role of each kind of control mode as unit working. The control model design idea, the logical function, the primary control logic structure diagram is researched and analysised, as well as every control model automatic transformation, which should be widely used.
FPGA-based USB 2.0 data monitoring and acquisition circuit function and simulation design
Authors: Duan Chenhao , Li Binhua
Published: November 2019

This paper builds a system based on FPGA, which is used for USB 2.0 data monitor, simulate and verify system. To build the system, and construction of hardware experimental platforms and logical module programming with HDL are both required. The core of the system is FPGA and ULPI peripherals, which extend two external USB ports for FPGA. By using HDL to package ULPI core, generate data buffer and relays module, and build the connection between ULPI data transceiver. And the function of data monitor and collection will be accomplished. The cooperation simulations by using ISE and ModelSim is using for system analyzation, modification, and verification.
Calculation of Early Warning Indicators for Small Watersheds Based on Mathematical Statistics
Authors: Zhang Shiru , Sang Guoqing
Published: November 2019

The early warning and forecasting of mountain flood disasters is an indispensable part of mountain flood prevention and control work. Reasonable selection of rainfall warning indicators is the key to mountain flood warning and forecasting work. This paper proposes a method for calculating the critical rainfall warning indicator based on mathematical statistics. That is, the characteristic period is determined based on the confluence time and watershed characteristics of the upstream watershed of the disaster prevention object. The stimulated rainfall of each characteristic period and its corresponding antecedent precipitation index is calculated based on the rainfall data of the flooding. Using the regression analysis method to draw the critical rainfall line, calculate the critical rainfall warning indicator and take the typical disaster prevention objects of Chahekou Village in Muping District of Yantai City, Shandong Province as an example, and the historical rainfall records of 2014-2018 were used as verification data to verify the early warning indicators. The results show that the critical rainfall accuracy calculated by this method is about 80%, which can provide reference for the application of early warning indicators for mountain flood disasters.
Research on Water Body Information Extraction and Land Use Status of Nansi Lake Based on high-resolution images
Authors: Zhang Xiaohan , Sang Guoqing
Published: November 2019

The acquisition of surface water information is of great significance to environmental protection and rational development and utilization of water resources. With the rapid development of remote sensing technology, it has many advantages, such as large coverage, fast acquisition of information, short period, large amount of information, etc.It can provide large-scale and multi-dimensional data, which plays an important role in further esearch of Nansi Lake. In this paper, the PMS multi-spectral data of January 2019 was used as the data source, and the land use classification of Nansi Lake based on the eCognition software. Normalized water index extraction (NDWI) was used to extract water body information of Nansi Lake.
Research on Joint Distribution of Rural Logistics
Authors: Song Guangyuan , Zhao Zhiheng , Tian Chu , Yi Yanju , Song Tiantian
Published: November 2019

Absrtact

With the progress of science and technology and the development of society, the popularity of online shopping has been greatly improved, and it provides a broad space for the circulation and sale of agricultural products, and promotes the development of new countryside in China. Despite the vigorous development of rural e-commerce, it is still in its infancy, and there are many problems such as imperfect logistics distribution system. Among them, the joint distribution mode of terminal logistics is an important factor restricting the development of rural e-commerce. Therefore, we should develop the logistics mode of common warehousing and distribution among logistics enterprises, and promote the integration of rural logistics warehousing and distribution resources through computer simulation of logistics distribution. This paper investigates the situation of rural express delivery, evaluates the performance of rural express terminal distribution by using the method of fuzzy comprehensive evaluation, and constructs a new mode of rural express delivery operation in view of related problems.
Customer churn prediction based on LASSO and Random Forest models
Authors: Zhu Qiannan , Yu Xinyi , Zhao Yuankang , Li Deyi
Published: November 2019

Customer churn probability is influenced by many factors, due to the complexities of actual problems, high-dimensional data often exists multicollinearity, and ordinary regression model is no longer applicable, while Random Forest model without data processing will lead to a large amount of calculation and make the model become not generalizable. So we try to construct a LASSO-RF model based on the existing theories that the Random Forest model was used to predict the variables selected by LASSO model. This paper takes the member data of an airline company as an example to carry out an empirical study. The results show that compared with the LASSO model or Random Forest model alone, the LASSO-RF model constructed in this paper has a smaller amount of calculation, higher prediction accuracy and stronger generalization ability.
Visualization Of Female Public Toilet Information Service Design And Research Based On Queuing And Waiting Psychology
Authors: Yu Jihong , Xu Zijie , Feng Yi
Published: November 2019

In areas of high traffic, it is not uncommon for female public toilets to use queues. Even though the use of female public toilets has improved in recent years, this common dilemma has not been completely solved and optimized. In the context of significant data and the Internet era, through the optimization of female public toilet information prompts that look for ways to alleviate the queuing of female public toilets. From the perspective of users and based on the waiting psychology of queuing, analyzing the psychological and behavioral responses in the queuing process of female toilets, subsequently introducing the theory of visual information and exploring the service design for improving the public toilets for women, optimizing the user experience and effective improving the queuing of female public toilets.
Fast Recognition and Location Method of Parts for Assembly Robot Based on Deep Learning Network
Authors: Yu Yongwei , Zhang Jianheng , Han Xin , Du Liuqing , Li Zhenggen
Published: November 2019

Aiming at the problems of low components recognition rate and poor robustness under complex conditions such as adhesion, stacking and light source interference, a fast recognition and position method of parts based on deep convolution neural network was proposed. A multilayer convolution neural network for real-time detection of parts was constructed. Firstly, multi-scale extraction of candidate regions for target images was carried out. Then,the feature vectors of candidate candidate regions were automatically extracted by convolution neural network. The softmax classifier was used to recognize and locate. The experimental results show that the method realized the recognition and location for multiple parts in complex environment. The accuracy rate is over 95.2%.The detection took only 78ms.The accuracy rate and real-time performance of the method proved its feasibility.
Information Sharing and Application of 3D Design Software in Interior Design
Authors: Xiaowen Qi
Published: November 2019

With the development of computer design software, computer design software with its real and fast characteristics can easily reflect the design concept and design plan. The effect of computer graphics is incomparable with traditional hand-drawing and other graphics techniques. The information exchange among various design software can make the architectural design and interior design more convenient and efficient. It is the development direction of architectural design in the future and the thinking and method of architectural design to apply a variety of software and realize information sharing in interior design.
The working principle analysis and numerical simulation of key equipment in HEMS
Authors: Qi Ping , Cao Limei , Wang Jun , Ribeiro e Sousa Luís
Published: November 2019

The rock temperature in deep coal mine is high, which seriously affects the mine safety production and restraints the exploration of coal resources. The cooling system HEMS (High temperature Exchange Machinery System) was developed using mine water inrush as a cold energy. The system was successfully applied in many coal mines in Xuzhou Mining Group, such as Jia he, San he jian and Zhang shuang lou coal mine. This technology makes good sense in energy conservation and pollution reduction. In this paper, the operation principle and numerical simulation of key equipment in HEMS were presented, which offer the theoretical basis for optimization design. The analysis of operational principle of key equipment was adopted by heat transfer theory and FLUENT was adopted for numerical simulation. After finishing the theoretical analysis, test result was used for proving the correctness of the theoretical analysis.
Research on Accounting Issues of Derivative Financial Instruments under Network Conditions
Authors: Liyuan Wang
Published: November 2019

As a special modern accounting object, after years of continuous research on derivative financial instruments, the accounting community has made significant substantive breakthroughs. It has become the consensus of the major standard-setting bodies that derivative financial instruments should be included in the statement and measured at fair value. With the deepening development of market economy and the advent of the Internet era, China’s derivative financial market has also ushered in a new period of development. Therefore, we should combine network technology to break through the traditional accounting recognition and measurement model, and reflect derivatives accounting information comprehensively and objectively in time.
Research on Children’s Autonomous Learning Behavior in Performance Area---Taking H Kindergarten in Changsha as an Example
Authors: Zhang Weimin , Xie Ling
Published: November 2019

Respect and protect children’s curiosity and interest in learning, help children gradually develop proactive learning quality, let children become the protagonists of their own learning, develop good thinking habits and study habits, and improve the ability of independent learning are the general trend[1].In the performance area, young children creatively express their understanding of life and art works by playing the role of literary and artistic works. They can develop the imagination and creativity of young children, and the satisfaction and pride they receive in stage performances are great temptation for young children. Through the coding and statistics of children’s independent learning behaviors in the performance area activities, This paper that mainly adopts the observation method deeply analyzes and discusses the reality of children’s independent learning behavior in kindergarten performance area activities, summarizes the characteristics of children’s autonomous learning behavior, analyzes the influencing factors, and puts forward suggestions on improving children’s autonomous learning behavior level: Pay attention to the age characteristics of young children in the behavior, treat children of different age, change teachers’ concept of regional activities, and improve teachers’ support for performance areas.
An improved CI EKF data fusion algorithm for multi-sensor time-delay system
Authors: Lee X Y , Gao G W
Published: November 2019

In order to solve the problem of time-delay in non-linear multi-sensor information fusion, a simulation model of moving target tracking in sensor networks with the time-delay state and observation system is established. Using the augmented matrix to transform the time-delay system into the non-time-delay system, an improved Covariance Intersection (CI) Extended Kalman filter (EKF) data fusion algorithm for multi-sensor systems with time-delay is presented. This method avoids calculating any two local filter error cross-covariance matrices and greatly reduces the computational complexity and time. Analysing the precision of this method, comparing the precision of improved CI EKF data fusion algorithm and the locally optimal fusion EKF algorithm. The results show that the precision of improved CI EKF data fusion algorithm is higher than that of the local EKF and close to the precision of the optimal EKF fusion.
One Step Anti-Windup Design for Nonlinear Systems: An Indirect LMI-Based Approach
Authors: Li Haojie , He Hanlin , Zha Miao
Published: November 2019

This paper proposes an indirect linear matrix inequality (LMI) approach to design one step anti-windup dynamic output feedback compensator for a class of nonlinear systems subject to actuator saturation. When the system state satisfies certain conditions, the nonlinear system can be reconstructed accurately by T-S fuzzy model, based on Lyapunov stability analysis and a result about matrix inequality, we show that the feasibility of an LMI guarantees the solvability of the corresponding one step anti-windup compensator. Once the solvability issue is determined, then we give an algorithm of one step anti-windup nonlinear dynamic output feedback compensator. The effectiveness of the proposed method is illustrated with numerical example.
Research on WebGL-based 3D Visualization Platform for Earthquake Rapid Reporting
Authors: Zhu Hongjiang , Cui Kewei , Lin Jinglei , Yuan Ziliang , Liu Shuai , Huang Meng
Published: November 2019

In the era of big data, after the devastating earthquake, the amount of information required for earthquake emergency has increased geometrically. In order to display various geological, environmental and meteorological information more intuitively, network 3D visualization has become the Core technologies that were indispensable in terms of Geographic process dynamic simulation, visual analysis and synergistic decision. This paper introduced WebGL+HTML5 technology as the underlying development platform, ArcGIS API for JavaScript as the map access interface, and realized the WebGL-based seismic rapid report 3D visualization platform. The coordinate conversion algorithm has been used to realize the latitude and longitude coordinate offset algorithm, which solved the position error caused by the secondary encryption of Baidu map and Google map during positioning location. The 3D measurement function in ArcGIS API for JavaScript realized the display of the distance, area and attribute information in 3D environment, used ECharts and memory optimization technology to improve the browsing efficiency of the platform on the mobile terminal and optimize the display interface. The implementation of this system could provide technical and decision support for earthquake workers in earthquake emergency response.
Research on MSK Demodulation Method for M-Sequence in IFF System
Authors: Wei Ying , Huang Jiawei , Ling Liuyi
Published: November 2019

M-Sequence, short for Maximum Linear Feedback Shift Register Sequence, is widely used in identification friend or foe (IFF) system because of its good equalization and autocorrelation characteristics, and Minimum Shift Keying (MSK) signal has been paid more attention in military communication field because of its excellent signal characteristics. A new demodulation method for MSK modulation signal of M-Sequence is studied. The MSK signal is sampled by A/D converter, and an integration circuit is designed in the FPGA. The same M-Sequence is generated by the same M-Sequence source polynomial as the integrator coefficient. The peak value of the integrated signal is judged to determine the M-Sequence. When the symbol rate is 1 Mbps and the carrier rate is 1 Mbps and M-Sequence is 5 bits, the recognition time of the new method is less than 1 us, which is less than one fifth of the recognition time of the traditional demodulation method. This method simplifies the demodulation process and is easy to implement. It improves the recognition speed of M-Sequence in MSK modulation signal and provides some reference value for the development of IFF system.
A quantum controller deployment algorithm based on improved NSGA2 algorithm
Authors: Lin Run Zhe , Tang Liang Rui , Bing Fan
Published: November 2019

In order to be able to apply quantum encryption communication to large-scale networks, the adoption of SDN networking in quantum key distribution networks is considered to be a feasible solution. this paper discusses the optimization scheme of deploying quantum encryption controller in QKD under various optimization objectives, and proposes a controller deployment algorithm based on improved NSGA2 algorithm according to network topology characteristics, which is intended to guarantee the algorithm. At the same time of effectiveness, the convergence speed of the algorithm is improved.
Extended Kalman Filter Method based on Backpropagation Neural Network in Current Sensor Online Calibration
Authors: Zhao Shuang , Zhang Hanzhu , Liu Jun , Li Yansong
Published: November 2019

The signal collected by current sensor will contain various noises, which will have a negative impact on the its accuracy and calibration. In order to remove unwanted noises, an extended Kalman filter (EKF) method based on backpropagation (BP) neural network is proposed in this paper. BP neural network has good adaptive ability and non-linear mapping ability. EKF can effectively filter noise and improve the calibration accuracy for non-linear systems. The signal collected by current sensor is processed by EKF and is used as the input signal of BP neural network. The trained neural network can modify the output signal of EKF, so as to improve the calibration accuracy. The angle difference and ratio difference of current sensor calibration are below 0.1, which meets the national standard and shows the effectiveness of this method.
L1 filtering for networked control systems with stochastic communication delay
Authors: Li Yanhui , Xu Wang
Published: November 2019

In view of the time-delay phenomena in the network, a new method for describing the input vectors of filters is proposed, considering the randomness of the observed outputs and using Bernoulli sequence to describe them. By constructing Lyapunov-Krasovskii function and analyzing it with infinitesimal operator, a criterion to ensure the mean square asymptotic stability of the filtering error system and satisfy the given L
1 performance is obtained. The validity of the designed filter is verified by numerical simulation.
Mobile job security protection under the ubiquitous power Internet of Things
Authors: Feng Chi , Fang Yuan , Zhang Liang , Yu Junhao , Sheng Jianqiao , Wu Lisha , Chen Shan
Published: November 2019

The rapid development of the new generation of information intelligence technology is closely related to people’s life, work and other social activities. The ubiquitous power Internet of Things is a complex multi-network flow system, with the power system as the core, composed of communication network, cloud platform technology, intelligent terminal sensor and artificial intelligence; characteristics are open sharing, ubiquitous connection, holographic perception, fusion innovation. With the development of the energy Internet, the power system is required to fully perceive and widely interconnect massive data and propose the concept, which will become a new idea for the development of information sharing networks in the field of energy Internet power. New mode. Mobile intelligent terminals are important access devices for ubiquitous power Internet of Things and play an important role in mobile operations; mobile smart terminals face more security risks. In the context of ubiquitous power Internet of Things, it is of great significance to analyze the problems existing in the security protection of mobile intelligent terminals and explore the security protection technology of mobile intelligent terminals.
Research on the Application of Big Data Ecology in College Physical Education and Training
Authors: Jinhai Yu
Published: November 2019

As the demand for lightweight products in electronic products continues to increase, the demand for increased integration of products is becoming more and more urgent. Systematic package SiP refers to a package module system that combines multiple active electronic components with passive components to achieve a certain function. Through the effective packaging technology, the mechanical properties and thermal properties of the chip are greatly improved. According to the specific connection mode of the chip and the substrate, the packaging process can be mainly divided into wire bonding package and flip chip soldering, and 75% to 80% of the product package types are wire bonding packages. Although wire bonding packages have cost and reliability advantages, they still have I/O problems for IC packages, and wire bonding tools are still evolving. Flip-chip soldering has a shorter interconnect line, which results in a higher density of chip mounting. At the same time, the tools in these two technologies are constantly being updated, which makes the integration of chips more and more high.
A Sphericity Error Assessment Application Based on Whale Optimization Algorithm
Authors: Xuyi Shi , ming Li
Published: November 2019

In recent years, the sphericity error calculation has been increasingly favored by technicians. In order to further improve the calculation accuracy and iterative convergence speed of sphericity, the whale optimization algorithm is proposed to solve the sphericity calculation model. First of all, according to the standard, the mathematical model of sphericity is established under the minimum zone method. Secondly, the whale optimization algorithm is introduced. Finally, the algorithm is validated by the instance data. The results show that the algorithm is effective and advantageous in the calculation of sphericity.
Research on Information Security Protected Scheme for Ship Network System
Authors: Song Feifei , Zhu Jun , Guo Siyuan
Published: November 2019

Based on the investigation of the current situation of ship automation system construction and ship computer network architecture, the status and requirements of ship computer network information security are studied and analyzed. Ship safety management objectives are set, and the principle of network system security configuration is proposed. Furthermore, the evolution process of network security management is clarified, so as to establish and improve the ship network security management system. Finally, according to all the above analysis and research, the construction plan of information security protected for ship industrial system is determined.