DEStech Transactions on Engineering and Technology Research
Research on Network Energy-Saving Robust Adjusting Routing Model Algorithm under Uncertain Bandwidth
The rapid development of networks and the continuous expansion of their scale have placed high demands on network energy-saving routing. To reduce network energy consumption, there are routing models and solving algorithms for deterministic needs. However, the point-to-point demands in the network are dynamically changed. These changes in demands and changes in bandwidth size will affect will the original transmission path, making the so-called “optimal routing schemeâ€ the actual effect is very poor, or even infeasible. This paper studies the changes in network demand from one moment to another moment, the optimal adjustment problem of the robust routing scheme and establishes a 0-1 non-linear integer programming robust routing adjustment model with the goal of minimizing the sum of the adjustment cost and the loss of network routing energy consumption performance. A heuristic algorithm based on the k-shortest paths is designed and the validity of the routing adjustment model and the algorithm are verified for the network.
Shallow Water Wave Propagation of the Nonlinear Dispersive Boussinesq Equation
By the complete discrimination system for polynomial, we solve the exact travelling wave solutions of the nonlinear dispersive Boussinesq equation. Among those, some of the new exact solutions for this nonlinear dispersive Boussinesq equation are formally derived.
Identification of Sharp Horizontal Curves on Rural Roads by Simulation
The sharp horizontal curves of the rural roads in mountainous areas have a significant influence on the stability and safety of the vehicle. The simulation method can be used to evaluate the running state of vehicles, and safety improvement measures can be taken accordingly. Based on Trucksim and Carsim, the paper establishes a vehicle dynamics simulation model represented by Jiefang truck and Wuling automobile, and a closed-loop simulation model of the driver with low speed and low traffic volume. A total of 23 simulation experiments are carried out in 2 categories based on different design parameters, and the identification criteria for sharp horizontal curves on rural roads are determined. This paper has practical value for the identification of sharp horizontal curves on rural roads.
Exact Solutions of the KdV2 Equation by Trial Equation Method
The trial equation method is applied to the KdV2 equation as second order approximate of Boussinesq equations for shallow water waves. First, the equation is transformed into element-ary integral form, and then the complete discrimination system for polynomial method is used to classification.
An Intelligent Optimization Method for Multi-band Antenna in WBAN Systems
A novel intelligent optimization method for multi-band planar antenna design in wireless body area network (WBAN) applications is reported. Instead of conventional trial-and-error methods, this novel method combining a comprehensive learning particle swarm optimizer (CLPSO) and Local Cooperative Search (LoCos), is introduced to search the optimal geometric parameters of the antenna. The simulated results obtained by finite element method (FEM) and the actual measurement results both demonstrate that the optimized antenna obtains better performance in a significantly shorter time than other conventional algorithms. Particularly, the return losses of the implemented antenna at all targeted frequency bands are smaller than -10 dB matching.
Estimation and Optimization of Vertical Array Shape in Steady Uniform Flow
In use of vertical array to measure underwater target sound signal, the shape of vertical array is changed by current, the offset angle can be reduced by hanging a heavy object or by add fairing around floating body or by add roughness on vertical array surface . The model to predict the line style in stream is dealt with in this paper. Different method and iteration algorithm are used in the mode, and an underwater acoustic method is given to monitor the line style in real time. Both of the predict model and the method of monitor are used in a practice test, and the result illustrates the accuracy of the predict model and its utility in the design and application of vertical array.
Research on Simulation Method of Active Protection
This paper introduces an active protection simulation method. The active protection simulation software includes armor protection simulation component, incoming ammunition detection and alarm simulation component, soft kill active protection simulation component, hard kill active protection simulation component and so on. It can simulate the active protection process of armor target to typical ammunition. It not only considers the relevant elements of the protection process, but also facilitates the software implementation.
Global Cyber Security Governance in the New Era: Status, Dilemma, and Development
Global cyber security in the new era is characterized by its hazards, seriousness, and complexity. The Internet has given many individuals new political power, and it has also expanded the frontiers of global governance. The current cyberspace governance is faced with the limited interaction between information technology and institutions, which is manifested as the institutional dilemma of cyberspace governance, the conflict of governance subjects, and the value conflict of cyberspace governance. By constructing a global cyber security cooperation system, countries around the world can jointly address the security threats in cyberspace, thereby achieving effective governance of cyberspace. Realizing the interdependence of human beings, the mutual bridging of interests, and the interaction and integration of civilizations in cyberspace are the three internal logics of building a global cyber security cooperation system..
An Analysis of the Influencing Factors of College Students' Class Performance Based on SPSS Software
Mastering the influencing factors of College Students' class performance plays an important role in improving students' performance and helping students develop in an all-round way. Taking 2018 software engineering major of Shandong University of management as an example, this paper obtains students' relevant performance data through multiple channels, flexibly adopts non parametric and parametric statistical methods, and makes statistical analysis on the data with the help of spss23.0 software. It is found that the class performance of 18 software engineering classes is affected by the teachers and class style, of which class style is the most important influencing factor; the class performance and class style exist in the positive correlation, the better the class style, the better the class performance.
Yingying An Analysis of the Influencing Zhang
Research on the Characteristics of Innovation-Driven Efficiency in Fujian Province Based on DEA-Malmquist
Based on the input and output panel data on innovation in nine prefectures and cities in Fujian Province from 2010 to 2018, the DEA-Malmquist index method was used to empirically analyze the state and efficiency change of innovation-driven efficiency in various cities. The results show that technological progress is a significant factor that promotes innovation-driven efficiency growth in Fujian Province, and technological efficiency only plays a supporting role; innovation efficiency progress varies from city to city, and there are significant differences between regions. Finally, based on the research results, several suggestions for improving the innovation-driven efficiency of Fujian are put forward.
A Collocation Spectral Element Method for Solving Boundary Value Problems of Elliptic Partial Differential Equations
In this paper, the collocation spectral element method is used to solve the boundary value problems of elliptic partial differential equations. In this method, the domain of definition is decomposed into several connected sub-domains by using the idea of finite element method, and then the elliptic partial differential equation is discretized by using the method of collocation spectrum on each sub-domain. Finally, the element rigid matrix is assembled into the total rigid matrix by using the idea of finite element method, and finally the boundary value problem of elliptic partial differential equation is obtained Numerical solution of unknown function. This method can be used to deal with the boundary value problems of some complex elliptic partial differential equations with variable coefficients, and can also find the numerical solutions of the boundary value problems of elliptic partial differential equations defined in the complex region. It can also simplify the programming and obtain the numerical solution with high precision. This is undoubtedly a great application value of this method.
Research on DCN Traffic Scheduling Based on Private Cloud Platform
In the virtual switching of multi-tenant network under private cloud, the traffic load in peak period is too large to ensure the balance and bandwidth quality of service, while in the low period, the traffic load is too low to waste computing resources. Based on the current SDN, using Openflow to send traffic table to the data plane to realize dispatching and classifying the data flow according to the granularity of the data flow, and considering the factors such as QoS and resource utilization. This paper studies the hybrid scheduling strategy and priority based dynamic scheduling strategy to ensure the load balance and service quality in the peak period, in the low period, the utilization and throughput of computing resources are maintained.
Why Is It Not See Everything A-50—Heavenly Eyes and Ears of Russia
In this paper we analyze of the A 50 air defense system. Attention we paid to shielding the radar signals of the " Шмель " system. We performed a simulation of the shielding of radar signals the "Шмель" system in the horizontal and vertical plane. We present the individual stages of the construction of the system, its purpose and basic technical data. At the beginning of 2011, the Russian aircraft detection and guidance systems entered a new era thanks to the commissioning of the long-awaited modernized A-50U OKB Beriev aircraft. By mid-2013, two A-50Us were in operation, the third was expected by the end of the year and the fourth is planned to be commissioned in 2014. The modernization of the A-50 can be seen as a huge leap forward for the Air Force, which finally put computers into operation 21st century display systems paired with powerful radar.
Cyber Security in “ATM Surveillance Tracker and Serverâ€ System
The aim of this manuscript is to present the status of cyber security challenges in the surveillance data processing system “ARTASâ€ . The cyber security is a rising concern of the current ATC systems. Moreover, it is mandated by European Union law as well as the national law. Therefore, EUROCONTROL as the supplier of the ARTAS application had conducted a comprehensive security assessment. The goal was to identify security vulnerabilities of the systems. For this purpose, EUROCONTROL’s security experts carried out the “grey-boxâ€ type of penetration testing. Numerous weaknesses found exists because of the development and design decisions taken in early 90's, when ARTAS system was created. Presently, all weakness are mitigated by the means that ARTAS systems shall be operated in isolated and restricted environment. Considering the continuing advanced persistent threads this is not sufficient anymore and the next version of ARTAS system is addressing the most critical issues.
Research on Kinematics Planning and Simulation of Dexterous Hand Multi-finger Operation
In the process of multi-finger cooperative grasping and manipulating objects, dexterous hand operation is accompanied by the movement of the object, finger joints and contact points between object and finger. Theoretical research on multi-finger operation kinematics is presented in this paper, including analysis of the stability and operability of the grasping action, modeling kinematic equations of instantaneous operation and analyzing the activity of finger-object system. Finally, kinematics simulation of dexterous hand multi-finger grip is achieved, verifying the effectiveness of multi-finger motion planning method.
The Modeling of Electrical Constriction Resistance (ECR) Considering Elastic-Plastic Deformation
In this paper, firstly, the relationship of dimensionless normal load * F and dimensionless contact rate * r A is established in consideration of elastic-plastic deformation. Secondly, based on the power law of size distribution, the expression of nominal area and the maximua area of single asperity is obtained. Finally, by using the modified hypothesis, the model of the ECR for rough interface is established, which is influenced by the fractal dimension D, fractal roughness G , dimensionless loading force F* and friction coefficient μ. During the design of electrical equipment, the established model of the ECR can provide a theoretical reference for the accurate ECR calculation.
Node Importance Evaluation in Ground-Based Civil Aviation Navigation System Based on Complex Network Theory
Ground-based civil aviation navigation facility network has the characteristic of connection preference. With the continuous expansion of the network, the nodes in the network will appear Matthew Effect. In order to enhance the capacity of Air Traffic Service (ATS), it is necessary to evaluate the vulnerability and Business continuity of network nodes. Identifying the key nodes in the network can provide the basis for vulnerability evaluation and expansion planning of the network. Thus, it is important for improving the Business continuity of Air Traffic Control(ATC) support system. Considering the relationship among navigation stations, we construct a weighted complex network model based on the weight of the air traffic flow. Through analyzing the degree and degree distribution of the navigation facility network in China’s southwest control area, the key nodes of the facility network are obtained.
Study on Deformation of Ancient Pagoda Based on Lagrange Multiplier Method
Start The deformation problem of ancient pagoda was solved by using of the least square method and Lagrange multiplier method in this paper. According to the observation data, through modelling and analysis, a general method for solving the coordinates of the center points of each layer of ancient pagoda was given. Then, the model and analysis of ancient pagoda were carried out from three aspects of overall tilt, bending and twisting, and the quantitative calculation method of tilt, bending and twisting of ancient pagoda is obtained.
Equitability-Based Crew Rostering Optimization for High-Speed Railway
In order to meet the actual needs of railway passenger departments in the preparation of crew rostering plan(CRP), in view of the low efficiency of crew rostering in high-speed railway in our country and in accordance with the current crew system and crew rules ,a monthly crew rostering plan model with the goal of minimizing the number of crews was built, In the process of modeling, in order to ensure the practical feasibility of the rostering plan, the monthly cycle was taken into account, and the handling method of night-time crew duties was considered. Finally, the approach was verified to be efficient based on the example of Shijiazhuang passenger department. The results show that the obtained crew rostering plan can reduce the number of crews and improve the balance of monthly working hours between crews.
Robust Chance Constrained Optimization with Pearson Divergence
In this paper, we mainly discuss robust chance constrained optimization with Pearson divergence. We discuss the proprieties of PE divergence and develop solvable models. We also give a reformulation of distributionally robust chance constrained SVM model with PE divergence. Finally, the above results are applied to binary classification problem with uncertainty. Numerical experiments show that our model is feasible and efficient.
Analysis of the Research Status of Computational Thinking
Computational thinking has caused waves at home and abroad. This paper analyzes the foreign and domestic literatures: it finds that some countries have a good research foundation and pay attention to the interpretation of the definition of computational thinking. The research application mainly focuses on basic education. In China, computational thinking is various, which takes the research in higher education as the core, takes the programming language into primary and secondary schools as an opportunity, and attaches great importance to the basic education of computational thinking as the research frontier.
Construction of Competency Model for Workshop Secretary in Railway Enterprise
In order to study the factors influencing the competency of workshop secretaries of railway enterprises, first, the behavioral event interview was conducted, the competency of features were extracted from behavioral event interview records. The competency weight system was obtained through calculation by means of level analysis. First, the works workshop secretary needs to have professional demand characteristics, as high professional quality is an essential factor of the competency of the works workshop secretary. Secondly, leadership characteristics determine the ability of the works workshop secretary to lead and control the entire workshop. Strong leadership can enable the works workshop secretary to lead the workshop for rapid development. Personal ability characteristics are the basis for the work stability of the workshop secretary, while the thorough legal awareness, safety awareness and political sensitivity are necessary for the works workshop secretary to reduce and even avoid accidents.
Research on the Function Comparison of Mobile-Based Network Teaching Support Platform
This paper aims at three kinds of common online classroom interaction platforms: Dui Fen Yi, Ke Tang Pai and Yu Ke Tang. From the perspective of the combination of the functions of the network platform and the author's use experience, based on the dimensions of effectiveness tools, communication tools, student participation tools and curriculum design tools, and comprehensively and deeply summarizes the advantages and disadvantages of the three, and finally points out that educators should combine them Practical teaching needs and functions of the mobile teaching platform, reasonably and effectively select and use the mobile teaching platform to carry out effective teaching.
Research on Informationized Teaching Model of Professional Courses in Higher Vocational Colleges under the "Internet +" Environment
With the promotion of information technology, the Internet has been integrated into the education industry, which has profoundly changed both the teaching methods of teachers and the learning methods of students. On the basis of analyzing the current informational teaching mode of professional courses in higher vocational colleges in the context of "Internet +" era, this paper makes an analysis on making full use of modern information means from two angles, teachers and students. Based on the analysis of the author's teaching practice, this paper summarizes the experience through preliminary practice and its application, extracts the soul of reform and innovation through case law, and lays a foundation for cultivating a new generation of high-skilled and innovative talents.
Fault Classification Method for Electric Power IoT Equipment Based on Edge Computing
With the advent of the era of big data, a large amount of data generated by local sensors in the power Internet has greatly increased the calculation amount of server terminals and increased their processing burden. Traditional centralized fault diagnosis systems have been unable to meet the needs of real-time diagnosis, and it is urgent to offload calculations. This paper proposes a fault detection and classification method suitable for electric power IoT devices based on edge computing technology. This method uses DNN neural network to implement fault detection at the edge layer, find out all fault data, and then upload the fault data only to the cloud center layer. At the cloud center layer, HTM neural network is used to classify the fault data to complete the fault diagnosis. Finally, experiments were performed using laboratory data from Case Western Reserve University in the United States to prove the reliability of the algorithm.
The Design and Development of Online Teaching Research System
The traditional centralized conference teaching research has many limitations, such as weak data statistical analysis ability and limited audience group. The online teaching research system, which integrates various network teaching resources effectively and applies network to cooperate teaching research, is an important method for information technology to support teachers' professional development. Taking geography as an example, this system designed and developed a teaching research platform of geography, in order to provide powerful help to front-line geography teachers and provide reference for the development of network collaborative teaching research activities.
Tactics of the Information Management for the Medium Small Businesses in China under the Big Data
The big data have been influencing the business much more than ever before. The medium small businesses, as the important forces of the economy development, are facing more and more serious shocks from the big data. How should the medium small enterprises behave under the big data? It’s a question urgently to be decided. To answer this question, the paper first analyzes the abilities that must be had by the enterprise in the information technology management under the big data, then expounds the existent problems in the information management in the medium small enterprises under the Big Data in China. Finally, suppose the concerned tactics in the information management under the big data for the medium small businesses in China.
Paths to the Transformation & Upgrade of the Manufacturing Industry Based on the Internet of Things
The transformation & upgrade of the manufacturing industry is an inevitable trend. The rapid development of the internet of things is leaving more and more effects on the manufacturing industry. How the manufacturing industry makes good use of the internet of things in its transformation & upgrade is an important issue worthy to be studied. So, the paper makes research in the following aspect: first it introduces the connotation and functions of the internet of things, then analyzes the roles of the internet of things and the concerned problems in the transformation & upgrade of the manufacturing industry in the conditions of the internet of things, finally, proposes the relative transformation & upgrade paths for the manufacturing industry.
An Airport Diversion Security Inspection Model Based on Epidemic Prevention and Control in the Period of COVID-19
During the prevention and control of covid-19 coronavirus, airports are under the dual pressure of the difficulty of epidemic prevention and the low efficiency of security inspection. This paper constructs an airport epidemic prevention and control triage security inspection model, which arranges security checkpoints according to flight schedule. It finds that gender variant queuing can improve the efficiency of security check and reduce the probability of infection, but it can also cause the area of infection to multiply; Reducing the error rate and quality factor of X-ray detector can promote the passing efficiency of security inspection, but the former is more effective; The better the isolation ability of protective equipment such as masks to viruses, the more abundant the means for security inspection departments to improve the efficiency of security inspection.
A Fast Method for Group Rendering Based on SPH
In large-scale combat simulations, operational entities appear in groups. These groups have the overall unity of action and the monomers have the characteristics of independent action in a certain extent. In this paper, we focus on a rapid group rendering method based on Smooth Particle Hydrodynamics (SPH). This method uses the two attributes of discrete monomer and continuous fluid to represent individuals and groups, proposes an autonomous behavior model for each monomer in the group, and studies task-based monomer behavior planning algorithms. On the basis of continuous dynamics, bi-directional distance variation constraints are introduced to accelerate population mapping. The simulation results show that the scheme can effectively improve the drawing speed of the group target.
Light Equalization Algorithm for Highway Tunnel Lining Image
When a high-speed tunnel detection vehicle capturing tunnel lining images, it is necessary to add a high-brightness light, which causes uneven illumination in the captured images and makes it difficult to detect lining defects. Therefore, this paper proposes a light equalization algorithm for fitting illumination curve distribution based on multiple filtering. Firstly, the improved mean filtering is adopted to eliminate small fluctuation noise. Secondly, the Gaussian filtering is used to fit the light distribution curve of the image, and the difference is made with the compressed image of the pyramid. Then, removing the brightness noise, the light equalization is achieved. The algorithm was tested on the images captured on the site of Tanglingshan Tunnel in Liaoning Province. Its results show that the algorithm can achieve light equalization, eliminate some noise and enhance the details to some extent.
Technology for Improving Antenna Performance Based on Silicon Lens and Cylindrical Substrate
A technology to improve the performance of the photoconductive terahertz antenna was proposed in this paper. The optimal selection of the size, shape, feed waveguide, and diameter of the silicon lens of the patch antenna will greatly increase the gain of the antenna. By using the FR4_epoxy as cylindrical substrate in the antenna and Si lens in the top of the antenna we imporove the gain of the terahertz antenna from 1.48dBi to 8.68dBi, which has been greatly improved.
A Quick Heuristic and a General Search Algorithm for Traveling Salesman Problem
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through it and the randomized greedy heuristic algorithm (RGH) which greedy heuristic algorithm is modified, a general meta-heuristic search algorithm framework is built. The general search algorithm (GSA) is based on a set of initial solutions, and continuous 2-opt operations are performed, so as to search for solutions in better quality. The data from the experiment reveals that the performance of IMNEFOTC is better than the traditional greedy algorithm, and the GSA can obtain a pretty satisfactory solution in a reasonable range of time.
A Review of Image Compressed Sensing in Deep Learning
In recent years, deep learning has developed rapidly in the field of image recognition, which provides a new idea for the reconstruction of compressed sensing. The new method based on deep learning can measures the correlation between the measurement signal and the original signal through network , which not only has high reconstruction accuracy, but also significantly reduces the time consuming, showing the great potential of deep learning in the field of compressed sensing reconstruction. This paper sorts out the current image compressed sensing reconstruction methods based on deep learning, analyzes the characteristics and key steps of the algorithm according to three different deep network structures, and finally looks forward to the development direction of compressed sensing reconstruction based on deep learning.
Pedestrian Re-ID Based on Improved Triplet Loss
Person re-identification technology is an important foundation for security, pedestrian tracking and other fields, and is the key to building a safe and smart city. In recent years, a large number of researchers have trained pedestrian re-identification networks through triplet loss, especially the triplet loss with batch hard mining (BHTri loss) has greatly improved person re-identification networks on accuracy. However, triplet loss with batch hard mining for an anchor sample only select the hardest positive sample and the hardest negative sample to calculate the loss, ignoring the influence of other samples on network parameters. In response to the above issues, this paper proposes a variant of triplet loss with batch hard mining, which is called adaptive weight triplet loss with batch hard mining. After the training dataset extracts features from the backbone network, in the phase of calculating loss, it takes the average of the sum of the distances between an anchor sample and all corresponding positive samples as a threshold, and both positive samples with an anchor point distance greater than the threshold and negative samples smaller than the threshold are retained, then based on The distance of the anchor sample is given the corresponding sample weight for calculating the loss. Compared with BHTri, mAP have improved 1.79%, 2.04%, and 1.25% respectively on the Market1501, DukeMTMC-reID and CUHK03 datasets, indicating that the proposed algorithm is effective.
Construction and Design of All-Media Digital Textbook
All-media digital textbook reconstructs traditional materials and online courses with the support of information technology in Internet plus era. It redefines the traditional teaching and learning, and also reforms the way of reading and the habit of learning. All-media digital textbook integrates three key elements: contents of course, learning platform and reading terminal. Not only has it changed the media presentation of teaching contents, but more importantly, it has changed the way of interaction among students, teachers and teaching materials. It has combined all education activities such as teaching, learning, testing, evaluating, managing, servicing and researching, etc. The construction and design of All-media digital textbook should pay more attention to the integration of systematization and individualization, interaction and big data, fragmentation and rich media.
In order to improve timeliness and pertinence of meteorological service for agriculture, after years of confirmed research into Intelligence service, an intelligent mobile phone application was designed and developed. We demonstrate the construction of forward-error correction. It is a practical intelligent service platform for agriculture meteorological.
Research on Interactive Modeling and Intelligent Analysis Platform Based on Railway Big Data
With completing of the Railway Data Service Platform (RDSP), the railway industry has a better big data foundation. The railway industry faces difficulties in applying and promoting of artificial intelligence. Corroborating the batch data and real-time data, an intelligent corroborative analysis and learning method is constructed. Based on the storage and computing abilities of RDSP, the general artificial intelligence algorithms are embedded. Three types of railway data analysis model units are reconstructed. Try to realize the visualization and interaction of railway business modeling, which can simplify the data analysis. Based on the knowledge structure level of the railway business staff, the data analysis interaction types are designed to different models. Design and set up the prototype of Interactive Intelligent Analysis Platform based on Railway Big Data. The prototype platform improves the capacities of automatic learning from data knowledge and ensures the validity and timeliness of the data analysis.
The Estimation of Watermarking Embedding Strength Based on PSNR in Orthogonal Domain
Based on the relation of points and vectors in Euclid Space, in this paper an image is regarded as a point in Euclid Space, and a watermarking as a vector. Then this paper presents how to estimate the embedding strength of watermarking according to the characteristic of the PSNR of the watermarked digital image in orthogonal domain. Experimental results show that the formula of the embedding strength is accurate and has minor errors.
Design and Calibration of a Novel Angular Position Sensor Based on BP Neural Network
Based on the law of electromagnetic induction, a novel contactless absolute angular position micro-sensor has been designed in this paper. It is mainly composed of three parts: a magnet having two portions shaped as circle segments with different center points, a Hall effect sensor and a signal processing circuit. The linearity of the sensing system is improved by particularly designing spatial magnetic field distribution of asymmetric magnet, and Hall output signal is converted by the second-order low-pass filter circuit into linear analog voltage. Experiment has been performed on a prototype of the angular position sensor and the results demonstrate the proposed scheme is feasible. Theoretic precision and testing error analysis of the sensor has been pursued based on BP neural network at the end of the paper. The error does not exceed ± 0.015°. The prediction result can fully reproduce the output performance of hall sensing system with high accuracy of 0.02%, achieving high-precision angle measurement.
The Fifth Dimension of Combat Research—The Influence of Cyberspace in Information Warfare
Cyberspace as the fifth dimension of combat, it has occupied a pivotal position in information operations. In this paper, the concept, composition and characteristics of the cyberspace operations are expounded in general, and the threats of cyber warfare are discussed. Finally, the enlightenment brought by cyberspace warfare is summarized.
An Overview of Advanced Persistent Threat Detection Based on Machine Learning
Cyberspace has been constantly threatened by attacks since its birth. With the development of high-tech and artificial intelligence, intelligent and efficient attack methods have emerged endlessly, and technological methods have been constantly renovated. In particular, Advanced Persistent Threat (APT) attacks are intensifying. How to effectively prevent this attack method has become the focus. With the advantages of machine learning, the thinking and technology of detection have made great progress. This article mainly discusses several innovative methods for detecting APT attacks based on machine learning, and looks forward to the future development direction.
Design and Implementation of Image Forgery Detection System Based on Cloud Computing
The masses of people urgently need a platform to help them identify the authenticity of network images, but the existing image forgery detection algorithms generally have high thresholds and poor real-time problems, making it difficult for the public to provide efficient detection services. Therefore, this paper proposes a cloud-based network image forgery detection system that uses B/S architecture, integrates multiple algorithms, and uses cloud computing and GPU computing technologies to improve system throughput and detection speed. Experimental results show that the system can effectively detect copy-move and splicing forgeries, and the GPU's speedup ratio reaches 6.5, which significantly improves the detection speed and throughput of the system.
Design of Cable Trench Inspection Robot System Based on Improved D*Lite Algorithm
Aiming the problem of on-line monitoring of the running state of underground cable trench, a cable trench inspection robot system is designed according to the cable trench environment. the requirements of on-line monitoring of underground cable trench, as well as the constraints brought by the underground cable trench environment are analyzed, and an inspection robot, including image module, temperature and humidity detection, combustible gas detection, motion mechanism, automatic navigation module, host system etc., are built. Multi-joint series structure crawler and dual central processing unit (CPU) are used to reduce the whole volume and weight of the robot. D*Lite algorithm is improved by fireworks algorithm. In this way, the distance between robot body and obstacles is increased, the smoothness of planning path is improved, and the path planning for cable trench environment is realized. Experiments of the scene show that, the robot system realizes the automatic inspection of the underground cable trench, and the required various cable operation information are obtained. It shows good crossing ability in the cable trench environment and satisficed the demands of the online monitoring of the underground cable trench.
ERT Image Evaluation Based on Sparse Representation Algorithm
Most of the existing image quality evaluation is to extract image features, and then use support vector regression, sparse representation and other algorithms to evaluate the image quality. In this paper, an adaptive sub-dictionary image evaluation algorithm based on sparse representation is used. By extracting relevant image features such as gradient features and color features, a complete dictionary is first constructed using the features, and then a sparse representation method based on the sub-dictionary is used to obtain the sparse corresponding to the ERT image. Coefficient, the final image quality score is obtained by the corresponding formula.
Research on Chinese Text Semantic Matching Base on BERT and BiLSTM_Attention
In this paper, to further improve the matching accuracy of text semantic matching, which is based on BERT (Bidirectional Encoder Representations from Transformers) fine-tuning, we propose a novel model, which is combine BERT and Attention-Based Bidirectional Long Short-Term Memory Networks (BERT+BiLSTM_Attention). Indeed, outputs of the BERT are further given as inputs of the Bidirectional Long Short-Term Memory Networks (BiLSTM), after that the attention mechanism is further used to capture the needed interactive information and attend those informative words that have a significant impact on semantics. In order to optimize the model, the piecewise constant decay strategy is adopted to control the learning rate. In addition, the weights of BERT are updated to make our model more suitable to the downstream tasks. Finally, experimental results demonstrate that the accuracy of the proposed model is better than LSTM-DSSM model 7.1% in a large-scale Chinese question matching corpus. And 0.12 points higher than BERT based direct fine-tuning.
Video Classification Method of Multi-Way Convolutional Network Based on Deep Metric Learning
Aiming at the significant impact of video semantic changes on video classification results, in the video classification process, witch in includes the large intra-class dispersion and inter-class similarity during video, this paper proposes a multi-way convolutional network video classification method based on deep metric learning. The method includes a 3D network-based multi-way convolutional network and a metric learning method based on the allocation of negative sample intervals. The network is mainly divided into three parts: segmented video feature extraction, similarity measurement based on deep metric learning, and classification. Firstly, the multi-channel convolutional network can extract the features of different periods of the video, and obtain the depth features of the video through feature fusion. Secondly, by calculating the error based on the interval function of the average semantic distance of negative samples and backpropagating, the network can learn the difference in semantic distance between samples. Finally, the network combines classification tasks with metric learning during the training process to make the network classification results better. Experiments on the data set UCF101, compared with existing methods, the multi-way convolutional network video classification method based on deep metric learning can effectively improve the accuracy of video classification.
A Robust Correlation Filtering Tracker with Resampling-Detection and Adaptive Fusion Multi-features
Recently, correlation filter is widely used in visual tracking for its robust and accuracy. However, it is still a challenge in tracking with complex situations such as target blurring, occlusion, and scale variation. In this paper, a correlation filter-based tracker with resampling-detection and scale estimation is proposed. We use multiple features with adaptive fusion to describe the target appearance, and resampling-detection module will be performed on the frame which tracking confidence determined by PSR is lower than a threshold. Besides, scale pyramid is introduced to estimate the scale. The extensive experimental evaluates on the OTB benchmark and results show that our approach outperforms the baseline trackers and has excellent performance in accuracy and robust, especially on the challenge of fast motion and motion blur. Additionally, our approach is computationally efficient and suitable for real-time applications.
Research on the Influence of Artificial Intelligence on Economy and Society
The history of social development is the history of technological progress. Social development provides a good external environment for AI, and AI promotes social development. This paper analyzes the social system from a macro perspective, and studies the impact of artificial intelligence on the economic, employment, legal, life and ethical issues in the social system, as well as the relationship between the various elements. The fuzzy cognitive map (FCM) model is constructed through expert investigation, and the evolution of reasoning simulates the changing trend of social state. Finally, the profound impact of the development of artificial intelligence on the society is elaborated from different perspectives, which provides reference for the government, enterprises and institutions and teenagers to cope with future challenges.
Study on the Effect of Emulsion on the Rotary Efficiency of Emulsion Drilling Machine
The emulsion drilling rig uses emulsion as the driving medium. Because of its light structure and easy drilling, it is suitable for the construction of gas extraction hole and pressure hole in the narrow space of the comprehensive mining face of coal mine. It is of great significance for the safe and efficient mining of coal mine. In order to study the influence of different types of emulsified oil and its ratio concentration on the rotary efficiency of emulsion drilling rigs, a column emulsion drilling rig was developed. The cycloidal motor and non-circular motor were selected as the motors used for emulsifying liquid drilling rigs, and the emulsified oil specified by the national standard was selected. The emulsified oils HFA E10-5, HFA E15-5 and HFAE25-5 were matched into emulsion at 7 %, 5 % and 3 %, respectively, to test the rotary efficiency, rotary torque and rotational speed of the emulsion drilling rig in each emulsion. The test data of emulsion drilling rig are analyzed and the optimum emulsion oil and its ratio concentration are obtained, which provides a theoretical reference for the modified design of emulsion drilling rig.
One Monitoring Device Design for Cold Storage Based on Energy Saving
Fresh agricultural products and rare Chinese medicinal materials have certain requirements on the temperature of cold storage in the store. In view of this problem, this paper designs a cold storage monitoring device to ensure the quality of fresh products, and solve the energy consumption in cold storage. The device includes temperature sensor, controller, alarm device, liquid crystal display, refrigeration unit and so on. Three aspects including control structure, air change device, refrigerant module are designed. This design can increase the refrigeration time of refrigerated items and the edible taste of food refrigerated items, reduce cooling energy consumption, it can be widely used in fresh products, Chinese medicinal materials, vegetables and fruits frozen preservation.
Design of Deicing Device for Air Vent of Cold Storage
Due to the cold storage vents are the intersection of outdoor warm flow and indoor cold flow, there is often ice accumulation. In this paper, we design one deicing device for air vent of cold storage which can automatically detect the icing condition of the vent and heat and deice the steel tube. The device includes contact sensor, power module, I/O acquisition module, control module, heating copper tube and leakage protection switch. When the contact sensor is completely covered with ice, the contact sensor sends out an alarm signal. The signal is transmitted to the I/O acquisition module and to the control module to drive the heating copper tube to automatically heat and deice. This design can be widely used in unmanaged cold storage vents and indoor and outdoor temperature environment of the warehouse with a large difference.
Research on the Influence of Resource Allocation Uncertainty on Parallel Coupling Iteration Time
Aiming at the problem that the uncertainty of resource allocation can lead to the increase of the parallel iteration time of the coupled task set, a parallel iteration time optimization model under the uncertainty of resource allocation was constructed based on the analysis of the resource allocation uncertainty and iteration time model in the parallel iteration. Then the analytic hierarchy process (AHP) was introduced, and by determining the AHP model and the resource allocation matrix, an improved parallel iteration time optimization model under the uncertain resource allocation was constructed. Combined with an example of product development process, application research was carried out by applying the MATALB software, thereby verifying that the improved optimization model can reduce the parallel iteration time of the coupled task set under uncertain resource allocation. This research provides a reference for optimizing resource allocation and reducing time in product design and development.
The Application of Improved Bayesian Method in Reliability Evaluation
Aiming at the problem that the traditional reliability method with small failure samples cannot accurately calculate the reliability, this paper makes full use of existing information and expert information, etc. Based on the combination of prior information and constrained no prior information, the improved Bayesian method is used to establish reliability. Sexual analysis model. First, a weighted fusion method is used to establish a joint prior distribution that combines prior information with constrained and no prior information according to the credibility of the prior information to the posterior information. At the same time, the robustness of the joint prior distribution is analyzed; The prior distribution is combined with the posterior information to calculate the posterior distribution form of the distribution parameter, and the distribution parameter value and the mean time between failures are calculated.
Anti-counterfeiting Traceability System for Agricultural Products Based on RFID and Blockchain
The food security issue on agricultural products has always been emerging, such as anti-counterfeiting, drug residues, heavy metal & fertilizer pollution. Agricultural products’ quality & safety impacts severely upon consumers’ purchase intention. To establish an entire process anti-counterfeiting traceability system, Jingdong Farm adopts mixing techniques, RFID and blockchain. By scanning the RFID tags with the Jingdong App, consumers can acquire the entire supply chain history of the product. The national secret algorithm embedded in the RFID chip and its unique PUF performance guarantee the products to be tracked straightly and authentically. In addition, blockchain makes it certain that the data within the supply chain keep from being tampered. The system will conduce to locate and recall defective products. Furthermore, it will provide e-commerce and supply chain parties with auxiliary marketing values, lower reverse loss and higher credit accretion.
Intelligent System Usages and Service Performance for Manufacturing Organization
The purpose of this research was to explore possible relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The hypothesis for this research was: There was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The method employed quantitative research method in conducting this study was measure the use of Intelligent System in various manufacturing organizations and provided an overview of the method of Intelligent System use in manufacturing organizations’ service performances. The research participants were 50 owners/managers in manufacturing organizations. The Spearman Rank Correlation Coefficient and descriptive statistics were used to test the research hypothesis. Research result supported the research hypothesis that there was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. Research result also indicated that this relationship between the Intelligent System usage and the service performance was positive.
Land Clutter Characteristics Analysis of Low Altitude Flight Radar Platform
During the operation of the low altitude radar platform, the test of electromagnetic environment from the surface is becoming more and more severe, which has directly affected the various performance of radar detection. The land clutter is not only an important component of the radar electromagnetic environment, but also an important feature of the radar electromagnetic environment, therefore, it is necessary to measure and analyze the characteristics of the land clutter. In this paper, a small unmanned aerial vehicle (UAV) is used as a carrier to carry a certain type of pseudorandom code continuous wave radar for land clutter measurement, the clutter characteristics of the measured terrain are analyzed according to the amplitude distribution, temporal correlation and spatial correlation of land clutter, so as to get the statistical feature of the land clutter under different measurement conditions.
Study on Field Emission Properties of Carbon Nanotubes Grown on Different Metal Substrates
In this study, we fabricate the carbon nanotubes (CNTs) on different metal substrates via a simple and economic growing process by using a spraying device to inject the catalyst into the reaction chamber. The microstructure and field emission properties of the CNTs grown by three different metal substrates are researched. The results show that the CNTs grown on the high-voltage aluminum alloy substrate have optimal field emission properties. The turn-on electric field and threshold electric field is 0.92 V/μm and 2.58 V/μm respectively and the field enhancement factor is 20930. Lastly, the field emission current stability of the CNTs is tested, finding the field emission current of the CNTs grown on the high-voltage aluminum alloy substrate is the stablest. The high current density and good stability demonstrate that the CNTs grown on the high-voltage aluminum alloy substrate could be the promising and highly efficient field electron emitters.
Optimized Design of CCD Temperature Control Structure of the Primary Focus Telescope
The primary focus telescope has the advantages of a large field of view and less loss of light energy, and plays an important role in the field of time-domain survey. The 1-meter large field-of-view telescope of Nanjing University uses the primary focus optical system. The 6k × 6k CCD is located at the primary focal point in the optical path. The CCD will have a large amount of heat during the working process, which will affect the telescope's imaging quality. According to the requirements of the imaging quality of the NTU 1-meter telescope optical system, the difference between the temperature of the CCD housing and the ambient temperature needs to be controlled within 1 ℃. Therefore, the paper proposes a temperature control scheme for thermal insulation materials, and optimizes the performance of the temperature control scheme. The temperature control accuracy of this solution is within 0.6 ℃.
Research on the Temperature Law of Brake Disc Based on Friction
The temperature characteristics of the brake disc will affect the material properties and stress characteristics and affect the safe operation of the train. In order to study the temperature distribution of the brake disc during the operation, a three-dimensional finite element contact model of the brake disc and the brake pad was established by software ABAQUS, applying the initial braking speed of 80 km/h. By analyzing the simulation results, it is found that in the process of the braking, the friction between the brake pad and the brake disc surface causes the temperature rising and forms a high-temperature zone in the middle of the brake disc surface. The temperature of the node belonging to the high temperature zone on the brake disc surface increases first and then decreases. The temperature of the brake disc along the axial direction decreases, and the temperature of the back of the disc increases continuously during the braking process.
Reliability Distribution of a Ship Steering Control System Based on Scoring Method
In order to improve the reliability of the ship's steering control system, the structure and function of a new ship steering control system are taken as objects, the basic reliability model of the system is established, the working characteristics of the system are analyzed and the scoring distribution method for the ship's steering control system is proposed, and the reliability index of the unit in the system is distributed. The reliability index of each unit is obtained, which provides the reliability basis for further optimizing the design of the steering control system.
The Research on Aerial Monitoring Mode of Civil Aviation Radio Interference Based on UAV
Aiming at the rapid increase of radio interference incidents in the aerial of civil aviation passenger airplane, based on the problem that ground radio monitoring equipment cannot handle, an aerial radio monitoring system based on Unmanned Aerial Vehicles (UAV) with a direction-finding antenna is developed, which aims to find direct radio signals from the aerial Path to locate interference sources. A two-point cross-location actual test was performed on the system prototype. The test results verify the feasibility of the aerial radio monitoring system based on UAV to detect radio interference in civil aviation, which has certain practical guiding significance.
Communication Equipment Residual Life Prediction Method Based on Multi-environmental Time Similarity Theory
In order to reduce the high costs of Communication Equipment operation and maintenance management, a novel residual life prediction method for Communication Equipment based on multi- environmental time similarity (METS) theory was proposed to make scientific and reasonable cost maintenance strategy of Communication Equipment. This method has introduced a reference Communication Equipment which has similar operational environment and type of the object Communication Equipment to obtain similarity coefficient (running hours and start/stop cycles) of the reference unit life evaluation parameters under actual operation conditions and benchmark operation conditions by using experience operational data. Based on the METS theory, the object unit factored running hours and start/stop cycles under benchmark operative conditions were obtained through calculating its actual running hours and start/stop cycles under actual operational conditions. And then the object unit residual life was predicted by comparing with maximum maintenance interval. Finally, a factory Communication Equipment HGP component residual life prediction is provided as the example to verify the scientific validity and feasibility of the prediction method.
Evaluation Method of Investment Effect of Combined Production Technical Transformation Project Based on Analytic Hierarchy Process
The research results of the investment effect evaluation methods of a variety of production technology reform measures can be applied to evaluate a variety of external risk coexistence scenarios, and provide auxiliary support for the investment decision making for the transmission channel to consider the overall effect of multiple measures. This paper first analyzes the theory of lightning strikes and wind deviation prevention measures, and draws the correlation between two types of risk management measures, and establishes an evaluation model of investment effects of various measures under the risk superposition scenario, and 40 sets of lightning strikes and wind bias treatment projects. Substitute the evaluation model for case study. Among the four types of governance measures to be assessed, taking into account the effectiveness and efficiency indicators of governance, the third type of governance measures can achieve the best investment benefits.
EMF Signal Processing Scheme of Step Excitation Based on Data Fusion
When using electromagnetic flowmeter (EMF) to measure slurry flow, the flow signal will fluctuate randomly due to slurry noise interference. In order to reduce the influence of slurry noise, this paper proposes a signal processing scheme based on data fusion. Firstly, through different amplitude demodulation methods, multiple sets of velocity data are obtained simultaneously. Then, a single set of flow data is pre-processed based on support degree. Finally, adaptive weighted fusion is performed on multiple sets of data. The paper conducted a comparison experiment between the data fusion scheme and the moving average median filtering scheme. Experiments show that the steady-state volatility of data fusion scheme is generally smaller. The signal fusion scheme based on data fusion can effectively overcome influence of slurry noise on flow signal of step excitation EMF.
Research on Fuzzy Adaptive PID Control of Hydraulic System of Pitch–Propeller
Based on the analysis model, a fuzzy adaptive PID control strategy is proposed, which is based on the analysis model, which is based on the analysis model. In this paper, the hydraulic system model of the pitch valve is established by analyzing the flow and the motion equation of the pitch system. Rule table, in order to achieve the PID parameter online tuning. The simulation results show that the fuzzy adaptive PID control has better tracking performance and better anti-jamming robust performance.
Traffic Path Planning Method Based on VANET and Ant Colony Algorithm
Intelligent Transport System (ITS) has been widely used in our life. A traffic path planning method based on VANET (Vehicular Ad Hoc Network) is proposed, which considers the path length and congestion comprehensively, uses ant colony algorithm to find an optimal path with the shortest delay, redesigns the pheromone update and heuristic function, dynamic adjusts evaporation rate to avoid the old information and reduce the re exploration of the visited path, in order to speed up the convergence speed and expand the search space. Simulation results show that this method can avoid congestion path, shorten path search time, and ensure the effectiveness of the path.
Application of Adversarial Sample Attack in Aerial Photo Identification of Transport Vehicle
The adversarial samples can cause the convolutional neural network model to output incorrect results. It is proposed to paste the generated adversarial sample patch on the roof of the transport vehicle to prevent aerial identification of the drone and achieve the attack on the target detection system. By producing aerial transport vehicle datasets, a YOLOv2-based target detection model is trained in the Pytorch deep learning framework, and the adversarial patch is trained by the GAN (Generative Adversarial Networks) called adversarial-yolo that can make the target detection failed. After simulation and comparison, the transport vehicle with a small adversarial patch can successfully and stably attack the target detection model, making it unable to detect the target, and the operation is flexible. The research can provide a certain reference value for the defense and camouflage methods of important ground targets against unmanned aerial intelligent detection devices.
Simulation Research on Damping Control of Vane Damper in Active Arm-Type Torsion Suspension
Based on the structure of the active arm type torsion suspension, this paper proposes an optimal control algorithm for the damping force of the vane damper which integrates the road surface information. Firstly, the structural characteristics and working principle of the active arm-type torsional suspension and vane damper are introduced. Then, the mathematical model of the damper and suspension system is proposed, and the dynamic characteristics of the arm suspension system are analyzed. Finally, based on the fuzzy PID control algorithm, a system simulation model based on road surface information is built. The simulation results show that the control strategy of the vane damper can improve the ride comfort of the suspension.
An Indicator-Based Visible Light Communication System Embedding on Operating Systems: Signal Design and Experimental Verification
Light emitting diode(LED) sources are massively distributed in the computers, display screens and other industrial electronics terminal devices, which not only indicate device status, but can also be used for information transmission. This paper takes a hard drive disk LED indicator embedded on a personal computer as example for statistical analysis. However, due to the fact that we cannot skip the operating system to control the indicators directly, the problem of clock drift is particularly serious. In response, we put forward our scheme of pulse width long-short-key modulation instead of traditional on-off-keying (OOK) modulation, which is optimized by simulation and verified by hardware experiment subsequently. As is indicated in the experiment, our modulation is superior to traditional OOK scheme at the same average data rate. Based on the analysis above, programming interfaces of sending and receiving terminals are designed to transmit real-time messages, files, or voice signal.
Fault Diagnosis Scheme Based on Grid Fault Degree Sample Data and AI Classification Method
Considering the differences of fault characteristics in the process of fault diagnosis, loss and false positives of protection and circuit breaker information, power grid fault diagnosis method based on integrated fault degree is proposed. Firstly , this method uses wavelet transform to analyze the amplitude characteristics and energy characteristics in the electrical quantity information on the fault recording data, and extracts the key indicators; Then, according to the binary information from remote communication system, directed bipartite graph is used to update fault symptoms, determine the fault boundary, and to calculate suspected degree; finally, integrated fault degree is determined by the improved D-S evidence theory, and final fault diagnosis result is determined by improved support vector machine method. Simulation results show that the proposed scheme improves the accuracy of diagnosis, and has good application prospects.
On the Road of Automated Pollen Recognition
Identifying all the pollen species present on earth, and more particularly in a territory, is a major concern for palynologists. This is an arduous task that can be automated using artificial intelligence. Many studies have tried to solve this problem by using machine learning and deep learning. In this paper, we present three pollen recognition approaches: Classification with no examples, recognition with a sufficient number of examples, recognition with un-sufficient number of examples. For each of them, we propose respectively to use Visual Bag of Word and expectation-maximization clustering algorithms, Classification using Local Binary patterns and the Gabor Filter Feature, Local Binary Patterns and Prototypical Networks. We find 77,38% recognition for 10 pollen species rate for the first one, 90.80 % for training with a sufficient number of examples and 80 species, and 20 different pollen species and finally 84,30% for the third approach with one example for training and 20 species.
Stability Analysis of a Two Degree of Freedom Micro-drilling Model
This paper introduces the assembly system model of drilling tool, drilling tool and fixture. In this system, the failure of drilling tools is caused by self-excited vibration, that is, the self-excited vibration of components in the axial direction. In this paper, the stable lobes of rock macro and micro drilling are established, the deep well rotary drilling system is analyzed in detail, the influence of changing the axial damping coefficient on the critical speed of drilling in macro and micro drilling is investigated, and the flutter behavior in the process of drilling is considered comprehensively, so as to avoid tool flutter damage and workpiece scrap and improve productivity.
Thoughts and Methods of Compiling Automobile Maintenance Information
Automobile maintenance information can provide detailed and accurate guidance for diverse, intelligent and complicated automobile maintenance. This paper summarizes the idea of compiling automobile maintenance information. At the same time, it summarizes the 7 basic elements, and introduces the expression methods and requirements according to the elements. Which provides guidance for the preparation of maintenance information that is easy to check, easy to read, complete and can guide the depth of maintenance operations. Finally, it is beneficial to improve the quality and efficiency of information compilation.
Optimal Scheduling of Mobile Energy Storage in Emergency Support of Power Systems
Mobile energy storage has been employed in many fields, including the disaster prevention and emergency support of a power system, with the developed technology and the reduced cost. This paper proposed an optimal scheduling scheme of mobile energy storage in emergency, in order to recover the power supply of important loads and reduce the outage losses. In the proposed scheme, an optimal scheduling model, which takes into account the load classification and travel time of mobile energy storage, is proposed to minimize the total outage losses and ensure the continuous power supply of the first level load. To solve the model, a genetic algorithm is applied. Finally, case study shows that the proposed scheme can achieve the reasonable scheduling of mobile energy storage and then avoid the major outage losses.
Particle Swarm Optimization Based on Punctuated-equilibrium Model
This paper presents a modified particle swarm optimization, named as punctuated-equilibrium particle swarm optimization (PEPSO). This method refers to punctuated-equilibrium Model (PEM) which is a pattern of group development in organizational behavior. PEM uses the long-term equilibrium phase and the short-term abrupt phase to solve the problem of group stagnation. The present work mathematically modelled this alternating process. The efficiency of the proposed PEPSO was evaluated using CEC 2014 benchmark functions. The experiments showed that PEPSO could solve premature convergence and had more good convergence accuracy than PSO on some test functions. Furthermore, it was also confirmed that the swarm was divided into different groups and the individuals of every group almost acted in unison. This provides a good explanation between PSO and organizational behavior from a new experimental perspective.
An Adaptive Infrared Image Segmentation Method Based on Fusion SPCNN
Inspired by multiple information processing mechanisms of the human nervous system, a fusion simplified pulse coupled neural network (FSPCNN) model for infrared (IR) image segmentation is proposed in this paper. In the method based on FSPCNN, the time decay factor is set adaptively based on Stevens’ power law, and the synaptic weight is generated adaptively based on lateral inhibition (LI), without manual intervention. Meanwhile, according to fast linking mechanism, the similarity between adjacent iteration results is used to implement the automatic selection of optimal segmentation result and control iteration. Experimental results indicate that the proposed method has favorable robustness and segmentation performance.
Optimal Allocation Method of Energy Storage Considering Probability Distribution of New Energy Power Fluctuation
With constantly increased penetration of new energy power generation such as wind and pv, it has imposed the challenges on operation and control of power systems due to power fluctuations. In order to reduce the influences, an optimal allocation method of energy storage considering probability distribution of new energy fluctuation is proposed. The probability distribution characteristics of different time-scale power fluctuations of new energy power are obtained by probability statistics. According to the probability distribution characteristics and fluctuation index, a probability indicator calculation model which contains time-scale and fluctuation amplitude is set up. The model is then solved by iterative calculations to get minimum compensation power of the required energy storage. Thus, its rated power, capacity and initial state of charge are calculated. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power already satisfied. Through calculation and analysis using the data measured from a 50MW photovoltaic power station, the method is proved to be correct and effective.
Review of Optimal Allocation Methods of Energy Storage in Different Applications of Power System
With widely application of energy storage technology in power system, the function and configuration method of energy storage system (ESS)in different scenarios have become the focus. In the grid side, energy storage can participate in safety accident response, power grid frequency control, peak shaving, power grid upgrading delay and easing transmission line congestion, etc. In the power supply side it is mainly used to improve the power supply flexibility and controllability; In the user side it is mainly used to improve power quality, arbitrage through peak valley, as well as providing uninterrupted power supply to ensure reliability. Due to different application conditions and purpose under different scenarios, energy storage configuration requirements are also vary. So it leads to various configuration method and lack of a unified evaluation index. In this paper, the existing optimization configuration method their respective advantages and disadvantages are analyzed, and then, the ideas, principles and basic evaluation index in common scenario are summarized. It provides reference basis for energy storage optimization in power system.
A Prediction Model of Electrical Constriction Resistance (ECR) between Dry-Friction Rough Surfaces Based on Three-Dimensional (3-D) Fractal Theory
In this paper, firstly, based on the fractal theory, Hertz contact theory and fractal network, the prediction model of the ECR for rough interface is established in consideration of the modified hypothesis, 3-D interface topography and elastic-plastic deformation. Secondly, using the engineering data of material, the influences of fractal dimension D, fractal roughness G , dimensionless loading force F* and friction coefficient μ on the ECR are analyzed by numerical simulation. Finally, compared with the classical models, the tendency of established model is same as that of other models. During the design stage of electrical equipment, the present model of the ECR can provide a theoretical reference for the accurate ECR prediction of rough interface.
New Disturbance Observer Design and Application on the Electro-Optical Stabilized Platforms
Aiming at modeling difficulty of the random and time-varying disturbance on the Electro-Optical Stabilized Platforms (EOSPs), a control algorithm of perturbation rejecter + Disturbance Observer (DOB) is proposed by combining the advantage of the rejecter and observer, to improve the robust performance of whole control system and the performance of disturbance suppression. The above control methods are validated in dual-rate loop structure under different friction load and effectively improve the stabilize accuracy of EOSPs. The results show that the compensation strategies of coordinating with one another can constrain effectively the impact of control performance caused by disturbance and load change, and improve the platforms’ stabilization accuracy. According to experimental verification, the control method is effective and applicable in different load conditions, and can provide reference resources and basis for engineering application of the control algorithm.
Double-Channel Tracking Performance Study in Spaceflight Testing & Controlling
The characteristic of double-channels tracking are with simple equipment, and high reliability. So it is applied to wide range in spaceflight testing & controlling system. AGC, time constant and sub & sum channel phase, has enormous influence on the function of double-channel tracking. When AGC the signal was chose inappropriate, the amplitude of double-channels channel signal will be in distortion. The sub signal will be damaged when double-channels channel signal and the differential & sum channel phase are not the same. And the modulation degree of double-channels signal will be decreased. Through analysis the basis of AGC time constant and the influence that differential & sum channel phase on double-channels tracking performance. It gives the principle and experienced dates for choosing AGC time constant, and it also introduces the methods and features of phase correction.
Optimization Design of Lens Roll-Pin Flexible Support Structure
There is a relative contradiction between the stiffness requirement and the size and weight of the lens roll-pin flexible support structure. Aim to solve this contradiction, the mechanical model of the roll-pin flexible element was established, and the radial and tangential stiffness of the roll-pin flexible element were theoretically deduced and verified by finite element method by using cartesian theorem. Then, based on the stiffness formula, the optimization design model with geometric configuration parameters was constructed, and the optimization design model was applied to a lens with a diameter of 400mm. The results showed that the simulation was basically consistent with the theoretical design. Finally, based on the optimized design, the improved design of the circular roll-pin flexible structure was carried out and the finite element analysis was completed. The results show that the weight of the improved design is reduced by 10%, the maximum contact stress is reduced by 10%.
Research on Automatic Denoising of LIDAR Point Cloud Data for Substation Equipment Based on Spatial Grid Density
Aiming at the shortcomings of the existing 3D point cloud data automatic extraction methods of substation equipment, which are highly dependent on big data algorithms and low efficiency, this paper proposes a 3D LIDAR point cloud data segmentation method and process based on the multidimensional subspace grid density difference. The proposed method is based on eliminating the flying spots of 3D point cloud data, and is divided into equipment point cloud data and ground point cloud data based on point cloud data characteristics for 3D real-world modeling and accurate positioning of the model; Among them, the equipment point cloud data uses a multi-dimensional density difference segmentation method. The long-distance terrain is divided in the XOY and YOZ planes, and converted into a combination of multiple small-scale scale spaces. Effective segmentation, so that automatic extraction of substation equipment can be realized; The ground point cloud data uses a single-dimensional density difference segmentation method to dilute the ground point cloud data to obtain clear positioning points. The feasibility verification results of cloud data of a UHV substation show that the proposed method can effectively suppress the noise interference of interference points, realize accurate extraction and location of substation equipment, and the algorithm has high efficiency and strong engineering application.
Design of 3D Model Database of Substation Equipment Based on Access Software
Building model base and sharing model effectively can accelerate the process of 3D new design and scene reconstruction, and reduce the cost of modeling has important engineering value. Based on the analysis of the functional requirements and architecture design of the three-dimensional model database of substation, this paper puts forward the storage information attributes and coding rules of the three-dimensional model database of substation typical equipment, and creates the three-dimensional model database of substation equipment based on access. The three-dimensional model database of substation includes model management and maintenance module, human-computer interaction module, which realizes the storage, storage, query and other functions of three-dimensional model of substation. The research results can provide reference for the construction of three-dimensional model base of substation equipment.
Active Disturbance Rejection Adaptive Command Filtered Control of Electrohydraulic Actuator
This paper proposed an active disturbance rejection adaptive command filtered control (CFC) scheme for tracking control of electrohydraulic actuator subjected to both parametric uncertainties and uncertain nonlinearities. The proposed controller is developed by combining extended observer technology and adaptive CFC backstepping method. The adaptive law is used to deal with parameter uncertainty; matching uncertainties and mismatching uncertainties are estimated by two extended state observers and compensated in a feedforward way. Parameter self-adaptation can greatly reduce parameter uncertainty and ease the estimation burden of the extended state observer. CFC technology is employed to deal with the inherently complex explosion problem of classic backstepping technology. Therefore, the design of the controller avoids high-gain feedback, reduces tracking errors, and decreases online calculation burden. The proposed controller can guarantee asymptotic stability and expected control performance. Comparative simulation results are acquired to verify the tracking performance of the proposed approach.
Research on Personnel Allocation Strategies of Reducing Workers in Divisional Seru
With the diversification and individual development of the economy, enterprise competition tends to be international, and traditional production line has disadvantages in terms of efficiency and labor costs. This paper considers reducing workers to reduce labor costs in line-seru. It also considers reducing the number of workers without increasing the manufacturing period of the product to ensure timely delivery. This paper proposes a multi-objective model to solve the problem of reducing the number of workers and not increasing the manufacturing period. The variable length coding heuristic algorithm is used to solve the model. This algorithm is not only suitable for the case of fewer workers, but also has good applicability to medium and large-scale problems.
Vague Adaptive Optimization Based Research on Yunnan Favorable Natural Rubber Species
Based on Vague adaptive optimization method, taking traditional natural rubber species Indonesia PR107 and Malaysia RRIM600 as reference objects to optimize new natural rubber species. The conclusion of this study shows that it is advisable to promote and plant the cold-resistant and high-yield natural rubber species, including Yunyan 77-2, Yunyan 77-4 and Indian RRII 208.
Research on Reconstruction and Test for Flight Stability of Setting-out UAV
The application of setting-out UAV can enhance automation level of guideline erection operation, simplify erection flow, thus enhancing erection speed of power transmission line, reducing construction cost of erection operation, reliving labor strength of erection workers, and reducing working danger of erection workers. Especially in construction occasions with complicated terrain and severe environment where the artificial erection is difficult to be conducted, complete erection with UAV automatically can enhance construction efficiency greatly [1]. In this thesis, we mainly research the effect of utilizing RTK differential technology to enhancement of flight stability of UAV.
Online Equivalent Method of External Network Based on Measurement Information
How to acquire the accurate equivalent network of external system in the interconnected power grid has always been a challenging issue in the fields of both academic and engineering. This paper proposes a new method for online equivalence of the external network based on the measurement information of the internal network. Firstly, it builds an equivalent network of the external system, including the coupled branches between each of the boundary node, the equivalent generators and the equivalent lines from corresponding boundary nodes to them. Then, based on the SCADA (Supervisory Control and Data Acquisition) measurement information, an optimization model to estimate the parameters of the equivalent network is constructed, with the minimization of the mismatch between the boundary’s measurement and the calculation value of the equivalent network being the objective and the parameters of each line of the equivalent network within the reasonable range being the constraints. In order to reduce the calculation scale, measure is adopted to remove the coupled lines whose electrical distances (or impedances) are larger than a relative big threshold. The impedance range of each line in the equivalent network is determined by ward equivalent method under the condition of maximum and minimum operation mode. The model is solved by interior point method, which owns the satisfactory convergency performance. The solution of the model makes each of the calculated value of the equivalent network at the boundary node closest to the measured value, while all the parameters of the equivalent network within a practical range. The results of an example demonstrate the validity and effectiveness of the model and method proposed in the paper.
Shape Optimization and Leakage Analysis of the Oil Cavity of Hydrostatic Sliding Table in Down-pressing Board of the Ultra-large Tonnage Compression Shear Tester
This paper proposes a method to reduce the oil leakage of the hydrostatic slide table. The method reduces the friction loss of the oil cavity through structural optimization, and derives the optimal ratio of the length and width of the oil cavity sealing oil edge in the oil cavity size. The clearance seal design is added around the down-pressing board, and the advantage of the extremely small thickness of the oil film is combined with an appropriate edge width and an oil-saving groove to ultimately reduce the leakage of oil. The theoretical calculations show that this method can better solve the oil in the down-pressing board problems with leaks.
Ethical Issues in Flexible Welfare Systems
Most of the benefits of the flexible welfare system will include some of the welfare items that companies must provide or ethically should provide. These benefits, which are operated in accordance with social norms, are forcibly incorporated into the market norms by “pointsâ€ exchange, limiting employees’ rights. There are ethical issues in the flexible welfare system of enterprises.
Evaluating the Collaborative Innovation Performance of Advanced Manufacturing Industry and Modern Service Industry Based on Extension Method
With the increasing convergence of service and manufacturing industry, service industry plays an important role in the value chain of modern manufacturing industry, advancing the transition from traditional manufacturing pattern to the service-manufacturing integration. This paper employed extension method to assess the collaborative innovation performance of advanced manufacturing industry and modern service industry and conducted case study for model demonstration and validation. This study provided a new approach for the decision makings in the collaborative innovation of advanced manufacturing industry and modern service industry.
Research on the Adoption of Mobile Hotel Reservation Based on TTF and UTAUT
It is of great significance for the promotion and popularization of tourism ecommerce to study the factors influencing the adoption of mobile hotel reservation. From the perspective of user experience, taking TTF and UTAUT as the theoretical framework, four external variables including situational awareness, user experience, perceived risk and perceived cost are added to build a mobile hotel reservation adoption model. Based on the fact that senior college students have more travel needs, this paper takes college students as an example to make an empirical analysis. The results show that: task technology matching, situational awareness, effort expectation and performance expectation have a significant impact on user experience, and then affect user behavior intention; social impact, perceived risk and perceived cost also have a significant impact on user behavior intention, among which social impact has the strongest impact on college students' mobile hotel reservation intention. Combined with the analysis of empirical results, some suggestions are put forward for the development and operation promotion of mobile hotel reservation application.
Analysis of Research Hotspots and Trends in k12 Online Education in China
Education informatization in China has been greatly promoted in recent years, along with the popularity of the network technology and the smart terminal, and the breakthrough in big data and cloud computing technology, K12 online education grows rapidly, it’s especially necessary to comprehensively know about the development history of domestic K12 online education, research status and hotspots, thus further explore the development direction of K12 online education. In this paper, Citespace software is used to visualize the journal papers and master's degree papers collected in CNKI database and draw K12 keywords co-occurrence and the research hotspot in the research of the K12 online education change sequential graph, and we found K12 online education research focused on the "basic education", "Internet +", "online learning space", "online school" and "business model", etc., indicating that K12 online education develops with the national education informatization and, and turns the way of Market-oriented Development.
A Study on the Cultivation of Youth Quality by Taekwondo in the Context of National Fitness Activities
This paper analyzes the influence of taekwondo on youth quality training from the perspective of national fitness which use literature method, logical analysis method. The result shown that there are 24 aspects could be improved by taekwondo. Also taekwondo training has the following key points for the quality training of youth: 1) carefully interpret the relationship between comprehensive fitness and youth quality training; 2) make clear the training objectives and main contents of teenagers' quality; 3) elaborate promotion and teaching steps of taekwondo.
A Comprehensive Evaluation Model of Military Equipment Contractor Capacity Based on Grey Target Decision Theory
It’s difficult to obtain and standardize the contractor capacity information during the process of the military equipment contractor evaluation. This paper analyzed 8 main influencing factors of contractor capacity and established a comprehensive evaluation model of military equipment contractor capacity based on grey target decision theory. Taking the military software production and development project as an example, the evaluation model was used to evaluate the capacity of five contractors, and the effectiveness of the model was verified. The evaluation model realized the comprehensive evaluation of the qualified influencing factors of the contractor capacity, and put forward an effective method to evaluate contractor capacity under the limited sample information situation.
Countermeasures of Attracting College Students to Start a Business and Build Talented Youth Cities—Taking Wuhan as an Example
The issue of college students' entrepreneurship and employment has always been a headache for the government. How to solve this problem is about social stability and people's happiness. And it's up to 89 colleges & universities and 1.3 million college students in WuHan, the number of college students is at the forefront of the world's single cities, it's situation of college students' entrepreneurship and employment in Wuhan can reflect the employment and entrepreneurship of contemporary Chinese college students. So research team took Wuhan as an example. The phenomenon of "going away" is serious in Wuhan. In the past 5 years, less than 50% of Chinese students have been studying in the past five years. To solve this problem, the Wuhan government has launched the "Millions of College Students to Start Businesses and Employment Program" since the "Qingtong" project. The purpose is to enable millions of college students to "come in, go on, stay, and do" in Wuhan. Through field research and case interviews of universities such as Huazhong University of Science and Technology, Wuhan University and Wuhan University of Technology, this paper analyzes the status quo of college students' innovation and entrepreneurship, points out their problems, analyzes the causes, and finally puts forward four suggestions. Aim to make a small contribution to the innovation and entrepreneurship of millions of college students, and solve some problems for the innovative and entrepreneurial students.
Southward Premium: The Case of Chongqing, China
This paper focused on the relationship between the orientation of an apartment and its property value. Firstly, we used Hedonic model to decompose the characteristic prices of an apartment, and adopted FGLS to estimate the regression parameters to avoid the adverse consequences caused by heteroscedasticity phenomenon. The empirical result shows that the orientation is not the key factor in the demander’s purchase process. Secondly, in the same community, we selected samples facing south and non-south as a test group and a control group. Through paired regression analysis, we find that in Chongqing’s second-hand housing market, compared to the apartment having no south-facing orientation, those with it on average are valued only 1.42% .It is suggested that the evaluation practice should pay more attention to the orientation characteristics and measure orientation value according to local conditions.
The question of whether increasing income increase happiness has long been a concern, but consensus is hard to reach. The divergences mainly lie in studies of time series itself and the results of time series and cross-section studies. This paper uses 8-10 years of data from 124 countries to further explore this issue through three methods: Time series analysis, cross-section analysis and panel data analysis. We find that 33 out of 124 countries show no significant effect of income on happiness, while 56 countries show slightly positive effects and 35 countries show extremely high positive effects. Moreover, contrary to the intuition, there is no evidence that income no longer increases happiness in high-income countries, or that income can easily increase happiness in low-income countries.
A Study on the Influence of College Students' Androgyny Personality on Entrepreneurial Activity—Analysis Based on Public Data in University
At present, the entrepreneurship of Chinese college students is characterized by high participation rate and low success rate. This study examines the impact of gender role androgyny on college students 'ability to cope with entrepreneurial frustration through questionnaire surveys and literature analysis from two perspectives: college students' ability to actively respond to entrepreneurial failure and learn from entrepreneurial failure. Through the analysis of 514 sample surveys of college students in Guangdong Province, we find that college students with androgyny personality have stronger ability to cope with entrepreneurial frustration, which means that the androgyny personality has a positive impact on entrepreneurship. In this regard, we put forward some suggestions to strengthen the cultivation of androgyny personality to promote the entrepreneurial development of college students.
Study on the Prevention of Muscle Pain and Injury in Pre-competition Training from the Perspective of DOMS
Objective: Taking DOMS mechanism as the center, tries to find the countermeasures to deal with the muscle pain and prevent the injury in the pre competition training of college games. Methods: 125 students from Guangxi University of science and technology were randomly selected to participate in the training. The data of muscle pain and injury during the training were statistically analyzed. The mechanism of pain and injury was studied from lactate mechanism, glycolysis system, DOMS threshold and other aspects. Results: Muscle pain and injury mainly occur in pre competition training, especially in freshmen. Lack of rest after heavy load is easy to cause muscle pain, DOMS and muscle injury. Conclusion: Pain, DOMS, injury is a gradual process of comprehensive effects of exercise load, energy, material metabolism, etc; controlling load intensity, supplementing water, energy, material, can effectively prevent DOMS, and timely recovery after DOMS can effectively avoid sports injury.
Research on the Influence of Systematization Degree on the Rise and Fall of Minority Village Sports
From the perspective of organization degree, this paper discusses the influence of the development and decay of village sports organization on the rise and fall of village sports through the organization and operation process of village sports. The research shows that the village sports organization has the main path of passive extinction, active integration and change. The lower the degree of organization, the more limited the social resources and security the village sports organizations get, and the weaker the ability of survival and development. The main reasons for the decline of village sports culture are the barrier of intergenerational inheritance of village sports culture, the divergence of organizational values and the low degree of organization. Conclusion: Integrate social resources and improve the level of village sports organization is the effective way to inherit the sports culture of ethnic villages.
The Analysis of Impact of Korean Direct Investment in China on the China-South Korea Trade Deficit
With the signing of the China-Korea bilateral free trade agreement in 2015, the relationship between China and South Korea's trading partners has been further clarified. However, China's trade account with South Korea has been in deficit for successive years, and as South Korea's direct investment in China has increased, the deficit has become more apparent. Based on the introduction of the status of South Korea's direct investment in China and China-South Korea trade, this article analyzes the theoretical mechanism and empirical analysis of the impact of South Korea's direct investment in China on the China-South Korea trade deficit, and makes relevant suggestions for reducing the China-South Korea trade deficit.
Research on Forest Certification, Enterprise Reputation and Enterprise Value
Introduction According to the principles and standards of forest certification system, enterprise implementation was composed of execution of laws and regulations, establishment and implementation of sustainable management planning, environmental protection and the maintenance of social public interests, and the relationship model was built among forest certification, enterprise reputation and enterprise value. An empirical test was made by using SPSS13 and AMOS17.0 on the data from design questionnaire. The results show that establishment and implementation of sustainable management planning and maintenance of social public interests not only directly drive enterprise value, also indirectly drive enterprise value through enterprise reputation promotion and stakeholders recognition, meanwhile the execution of laws and regulations and environmental protection cannot directly drive enterprise value, but can indirectly drive enterprise value through the enterprise reputation promotion and stakeholders recognition, furthermore, enterprise reputation and stakeholders recognition significantly drive enterprise value, while enterprise reputation also promotes stakeholder recognition.
A Bakhtinian Dialogic Study of the Voice of Friday in J. M. Coetzee’s Foe
The paper studies the dialogic features of the tongueless of Friday in Foe as a non-westerner in postmodern and postcolonial context from Bakhtinian dialogism to expose hegemony in Robinson Crusoe. The real cause of silence of Friday originated from colonial writing and western discourse instead of his body. Otherwise, only the body as an existence can disclose and speak.
Pricing and Numerical Simulation of Earthquake Catastrophic Bonds under the Semi-Markov Process
In recent years, the frequent occurrence of natural disasters and the increasing losses have made the traditional insurance and reinsurance markets insufficient in underwriting capacity. An alternative method for covering these losses is to transfer part of the catastrophic losses to financial market by issuing catastrophe-linked bonds. In this paper, we proposed a contingent claim model for pricing catastrophe risk bonds in a stochastic interest rate environment with the aggregate claims following a two-dimensional semi-Markov process where claims sizes follow heavy-tailed GPD distribution. Then, we estimated the parameters of the pricing model using real earthquake data in China from 1996 to 2017. Finally, we used Monte Carlo simulations to obtain the bond prices, and analyzed the numerical results.
A Cognitive Approach to English Vague ambiguous Sentences from the Perspective of Semantic Activation
The view of semantic activation provides a fair cognitive basis for English vague ambiguous sentences. Integrating the access-and-activation model with a chain of reference point relationships, this paper constructs an access and spreading activation network model of reference point relationships to probe into the cognitive interpretation of vague ambiguous sentences. Results indicate that the double-decoding conceptualization process involves the reference point’s activating and spreading to the target. Vague ambiguity takes place at the levels of lexeme, lemma and conceptual level. The research may shed new light on cognitive linguistics, language education and computer processing of natural language.
Classification Model of Household Saving Behavior Based on RF
In order to stimulate residents savings and realize the balance of savings-investment, this paper selected the data of household savings in China's household finance survey as the main research object of the Behavior Classification Model, and mainly investigated the investment behavior, household consumption and other factors as the constraints of household savings decision-making. The establishment of RF Model for decision classification prediction and feature extraction, improve the interpretability of behavioral differences and high prediction rate, and further analyze the correlation between savings-investment balance and social value cycle with Solow Model, provide a new thinking line for the improvement of regional economy, and then put forward targeted suggestions and strive to bring about better social effects.
K-Partition Ensemble Multi-label Classifier for Insurance Purchase Prediction
Individual insurance purchase prediction can help effectively and accurately advertise to maximize sales. Most current insurance purchase prediction model only considers whether a customer will buy certain insurance. In this way, the prediction will be time-consuming with the rapid growth of the number of insurance products. In order to provide more effective and efficient marketing methods for insurance companies, this work proposes a K-Partition Ensemble Multi-Label classification model to predict the customer’s possible future insurance purchase. First, by transforming the insurance purchase prediction problem into a multi-label classification problem, the balance between features and labels of data division in the insurance purchasing dataset is explored. Second, a k-partition ensemble multi-label classification model is introduced, where each distinct label constitutes in the training set as a new category of a single-label classification task, and the random forest is used for multi-class classification. The empirical test is carried out using the Insurance Company Case data from CoIL Challenge 2000. We find prediction classifiers perform the best when the number of labels is around 20. Empirical evidence indicates that our model manages to improve substantially over other 3 classical multi-label classification algorithms with relatively little time, especially in domains with a large number of labels. The research results also provide a new idea and useful reference for the application in specific fields construction of data models based on the multi-label evaluation.
Empirical Analysis of the Impact of International Crude Oil Price Fluctuation on China's Stock Market
The price of oil, known as "black gold", has always attracted the attention of countries around the world. It is already a consensus that international oil prices affect economic operations, and naturally will affect the stock market which is regarded as a barometer of economic operations. The purpose of writing this article is to reveal the impact of international crude oil price fluctuations on China's stock market. In order to solve this problem, the author of this paper selected two sets of time series of Brent crude oil spot price and Shanghai Stock Index, and used Eviews software to perform various econometric tests such as cointegration test, Granger causality test, impulse response function, and decomposition of variance. It is found that there is a long-term stable cointegration relationship between the international oil price and the Shanghai Stock Index, and that the international oil price is the Granger cause of the Shanghai Stock Index. Furthermore, the former has a positive dynamic impact on the latter as a whole. It reached its maximum by the middle of the third month, and then slowly decreased to stabilize. Compared with the results of other similar studies, this article draws more accurate conclusions thanks to the latest, more realistic data without much artificial processing. The conclusions of this paper can help stock investors and economic decision makers to make more effective decisions.
Income Satisfaction Evaluation Based on Factor Analysis
From the perspective of residents, 20 indicators are selected to explore the influencing factors of residents' income satisfaction, and three public factors are selected by factor analysis method to evaluate the influencing factors of income satisfaction. The results show that the level of income has the strongest impact on residents' income satisfaction, and put forward the corresponding solutions.
Research on Evaluation of Comprehensive Competitiveness of Marine Economy in Coastal Provinces of China
On the basis of statistics and analysis of the overall development of China's marine economy, this study analyzes the main factors affecting the comprehensive competitiveness of marine economy from four aspects, marine resource endowment, marine economy development level, local macro-environment of marine economic development, and marine environmental protection capability. Constructing the comprehensive competitiveness index system of China's coastal provinces, which includes 4 second-level indicators, 12 third-level indicators and 50 fourth-level indicators. Meanwhile, using hierarchical analysis, equal weighting method, entropy method to measure the weight of indicators at all levels. Conclusions of this study show that the rank of comprehensive competitiveness of coastal provinces is stable, the level of marine economy development is the most important factor to improve the comprehensive competitiveness of marine economy, the strength of marine science and technology and the level of marine industry production are the main factors to enhance the comprehensive competitiveness of marine economy by analyse the data from 2002-2017.
A Risk Budgeting Approach Improved by Genetic Algorithms
The risk budgeting approach has been applied to manage and monitor the portfolio risk of large and sophisticated institutional investors. How to decide proper parameters to obtain the optimal or near-optimal solutions for the risk budgeting approach is a problem. In this paper, a risk budgeting approach improved by genetic algorithms is proposed. Experiment results on real financial data demonstrate that, compared with some traditional methods, the proposed algorithm is capable of generating a set of parameters which can attain near-optimal return on investment with high probability and computational complexity of searching process also has been reduced.
Analysis of Competitiveness of High-Tech Industry in Nanjing Based on Porter Diamond Model
Nanjing still faces many problems and challenges in terms of improving scientific and technological innovation capabilities and the development of high-tech industries. In this paper, the competitiveness of Nanjing's high-tech industry is measured by selecting competitiveness indicators to determine the strength of its competitiveness. Porter's six-element diamond model is used to analyze the existing problems in Nanjing's high-tech industry and find effective ways to improve its Competitiveness makes Nanjing's high-tech industry move towards sustainable development.
Analysis on the Evolution Strategy of the Medium Small Businesses in China in the New Economy Conditions
The new economy has been rapidly penetrating all fields of people like life, production, etc. This change is a big challenge to the medium small businesses in China. Where do the medium small enterprises go? This is a grave question for them to select. So, aiming at this question, the paper first introduces the situation of the new economy and its influence to the economic society, then analyzes the opportunity, threat to the medium small enterprises, expounds the advantages and disadvantages of the medium small enterprises, on which the paper puts forward some strategies for the medium small businesses to go forward.
The Impact of the Corona Virus Disease 2019 on China’s External Transportation Industry
In order to study the impact of the Corona Virus Disease 2019 epidemic on China's foreign transportation industry, this article summarizes the impact of a sudden major epidemic on trade and transportation, and applies statistical data trend analysis, case analysis, graphic analysis, and comparative analysis. The preliminary research on the Corona Virus Disease 2019 epidemic in the external transportation industry such as ports, shipping and civil aviation. The conclusion of the study is that the Corona Virus Disease 2019 epidemic has concentrated on industries such as ports, shipping, and civil aviation. It is expected that the volume of containers in major coastal ports will decline by more than 20% in March. 30%. Before and after the Spring Festival, the number of international routes decreased by 19, and the number of flights and seats decreased by 28%. The air cargo market was affected by the epidemic. As the epidemic situation is controlled in the short term, production will gradually recover. Correspondingly, countermeasures should be taken to stabilize foreign trade, stabilize production, stabilize channels, and stabilize investment to turn dangers into opportunities and minimize negative impacts. This research will provide a reference for the industry to scientifically respond to the Corona Virus Disease 2019 epidemic.
Research on the Industrial Economy and Transformation Strategy of Liudong New Area
Under the new economic situation, China's industrial structure was in a period of adjustment and transformation. This paper investigated the current status of the industrial economy and industrial structure of Liudong New Area, and derived the problems of traditional automobile industry transformation, emerging industry cultivation, and service industry optimization, which need to be resolved. Finally, the development strategies such as the extension of the automobile industry chain, driving related emerging industries, optimizing the ecological environments of funds-talents-technology were proposed, also adopting the "government- Research-Enterprise linkage" working model to promote the industrial transformation of the "trillion-city action plan".
Research Progress on Social Inclusion of Disabled People in China
Social inclusion of the disabled is one of the most important signs of social civilization. Firstly, this paper discussed and defined the connotation of the social inclusion of the disabled, and briefly combed the current research situation of the social inclusion of the disabled in China. Secondly, this article pointed out the main obstacles faced by the social inclusion of the disabled in China and summed up the research from four paths: education, employment, rehabilitation and culture. Thirdly, the research on the social inclusion of the three typical groups among the disabled was supplemented. Finally, on this basis, summarized the characteristics of the research on the social inclusion of the disabled in China and prospected the future research.
Research on the Optimization of the Purchasing Methods of Chinese State-Owned Enterprises from the Perspective of Supply Chain Procurement
As the backbone of China’s economic development, the procurement of state-owned enterprises has a far-reaching impact on the breadth and depth of the whole procurement field. With the rapid development of China’s economy and the accelerating pace of GPA accession, the role of procurement in the supply chain of Chinese state-owned enterprises has become more prominent. Based on the procurement dilemma of Chinese state-owned enterprises and the characteristics of procurement under the supply chain environment, this paper dialectically analyzes the relationship among supply chain management and procurement of Chinese state-owned enterprises, and compares the advantages and disadvantages of the general framework agreement procurement method and the bidding framework agreement procurement method from the perspective of supply chain procurement. On this basis, it explores that the consignment bidding framework agreement procurement is an effective way to optimize the procurement method of Chinese state-owned enterprises.
The Current Situation, Problems and Countermeasures of Furniture Export in Guangdong Province
Based on the data of Guangdong furniture export from 2009 to 2019, this paper analyzes the amount, structure and market of Guangdong furniture export. It is found that Guangdong Province, as a major furniture export province in China, its export growth rate is slowing down, the export structure is unreasonable, and the export market is too concentrated. However, trade barriers, lack of famous furniture brands and imperfect policies are the main factors that restrict its export. Therefore, it is an inevitable choice for the sustainable development of furniture export in Guangdong Province to improve the environmental protection level of products, create famous brands and improve relevant policies.
Analysis of the Effect of Hedge Fund Activism on Target Firm’s CEO Compensation
Inspired by recent academic advancement as well as real-world cases on hedge fund activism, the main purpose of this paper is to verify the potential effects of hedge fund activism on target firm’s CEO compensation. We used Propensity Score Matching and Difference-in-Differences approach to conduct the statistical analysis based on 835 analyzed samples. We found that the difference between the previous CEO pay level before hedge fund’s intervention and the post CEO pay level after hedge fund’s intervention for target firms is smaller compared to that for non-target firms. The result provides new evidence for the argument that the hedge fund’s intervention can be effective in suppressing the increase in CEO pay in hedge fund’s target firm. The study reveals a possibility that the hedge fund’s involvement in target firm can be viewed as a solution to adjust the executive pay to the reasonable level and make the executive compensation structure more based on company performance.
Effect of Fertilization on the Maturation of Red Soil Parent Material
Red soil is widely distributed in China, with strong acidity and low nutrient content. It needs to be fertilized and improved when planting crops. The effects of Fertilization on the parent material, phosphorus and sulfur elements in red soil were discussed. Six groups of control experiments were set up, in which different fertilizer combinations were used as the base fertilizer of red soil. The organic matter, phosphorus, pH value and crop growth in red soil were observed by planting wheat and corn. The results showed that the mixed application of chemical fertilizer and organic fertilizer could maintain the fertility of red soil and acid and alkali. The control effect of degree is the best. Therefore, in the process of red soil improvement, we should pay attention to the application of organic fertilizer.
China's "Demographic Dividend" and the Transformation of Foreign Direct Investment
Since the reform and opening up, China has made full use of the advantages of the demographic dividend in the process of demographic transition, and achieved rapid economic development. However, since 2012, China's demographic dividend has gradually disappeared, and the attraction of foreign direct investment in labor-intensive industries has greatly decreased. In addition, the industrial structure is unreasonable, and the gap of regional development is widening. A series of problems have followed in the process of changing the age structure of the population.
A Method for Dynamically Assessing Credit Risk of Internet Financial Service Platform
This paper comprehensively uses the fuzzy cognitive graph method and entropy weight method to dynamically assess the credit risk of Internet financial service platforms. First, a platform credit risk indicator system was constructed. Secondly, the genetic algorithm is used to learn the fuzzy cognitive graph weight matrix. Then, the fuzzy cognitive graph inference mechanism is used to predict the dynamic changes of the credit risk index and the stable state finally achieved. Finally, combined with the index weights calculated by the entropy weight method, the credit risks of the three online lending platforms are dynamically assessed. This paper realizes the dynamic assessment and prediction of Internet financial service platforms, and provides theoretical support for the credit risk of government supervision platforms.
Optimization Research of Regional Distribution of Hainan Agricultural Industry Based on Comprehensive Comparative Advantages
Based on the statistical data of 18 cities or counties in Hainan from 2011 to 2018, this research comprehensive utilize agricultural production comparative advantage and environmental comparative advantage to build a comprehensive comparative advantage system, guide the optimization of Hainan's agricultural industry layout. The result show that the comprehensive comparative advantages and environmental bearing capacity of Sanya, Qionghai, Wanning, Baoting and Qiong Zhong are bigger than 1, have significant advantage in agricultural production; And the comprehensive comparative advantage of Ding'an, Tunchang and Ledong is bigger than 1, but the environmental carrying capacity is between 0-1, so they are medium advantage zone of agricultural production; The comprehensive comparative advantages and environmental carrying capacity of Haikou, Wenchang, lin'gao, Danzhou, Dongfang, Lingshui and Changjiang are all between 0-1, are disadvantaged area of agricultural production. According to the evaluation results of comprehensive comparative advantagesw, the following optimization paths are proposed, firstly, it is proposed to improve the significant advantages zone, and limit the scale of low efficiency and high consumption of agricultural products in medium advantages zone, and adjust the industrial structure and layout of the disadvantaged zone. Secondly it is proposed to promote the production mode of comprehensive development of agriculture, forestry, animal husbandry and fishery. Thirdly, it is considered of multi compliance of the impact of planting, animal husbandry and fishery layout on the environment. Then the pollutant discharge in agri-production should be strengthening controlled. Finally, this research puts forward some policy suggestions to support the optimization of regional layout of agricultural industry.