bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of remote monitoring system for aquaculture water quality based on Internet of Things
Authors: Zhang Zewen , Mao Wenwu , Wang Zijie , Tan Xiaolin , Wu Fan , Wang Dengkui , Fang Xiong
Published: March 2020

In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose.
Robot Trajectory Planning based Attack and Defense Strategy for Water Polo Confrontation
Authors: Wang Chao , Zhou XiaoYu , You JiaXun , Xin Jia
Published: March 2020

Taking account of the attack of the enemy fish and disturbance of water waves generated in the water polo match, the fish head wiping the ball due to displacement of the target ball often occurs. In this paper, a tail sweeping based double fish alternate attack strategy is proposed. In this strategy, ball attack can be achieved by any part of the fish body, and it assures that the hitting of the ball no longer dependents on the fish head only, thus improves the robustness of the attacking scheme. Furthermore, as the short distance requirement for posture adjustment provides valuable time for the strategy of double fish alternation, we add the opponent fish attacking movement in the return phase. The experimental results show that the goal attack time of the tail sweeping strategy is shortened by 38.5% (single fish) and 66.9% (double fish alternation) respectively, which proves the performance efficiency of this strategy.
Structure Safety Appraisal of Cafeteria in Certain School
Authors: Liu Zhong , Li Huaibin
Published: March 2020

After a school canteen was completed and put into use, cracks appeared in some reinforced concrete beams and slabs of the frame structure. In order to understand the safety of its structure, the structural safety of the canteen was appraised. The appraisal results show that the structural safety of the school canteen does not meet the requirements of the norms. According to the appraisal results, the following suggestions are put forward: (1) strengthening the members whose concrete strength is lower than the minimum requirements of the code; (2) strengthening the structural members whose bearing capacity does not meet the requirements; (3) reinforcing the components with stress cracks; (4) repairing the cracks of the concrete members; (5) repairing the cracks of the filling wall; (6) The school canteen should be suspended and qualified units should be entrusted to reinforce the canteen.
A Data Desensitization Algorithm for Privacy Protection Electric Power Industry
Authors: Tang Zhenying , Zhao Wei , Wang Chenfei , Yang Zixing , Xu Yin , Cui Shenhao
Published: March 2020

In view of the data security problems faced by big data technology in the development of electric power industry, this paper proposes a power big data desensitization algorithm applied to privacy protection, that is, a binary K-clustering algorithm (BKC-LDA) based on K-anonymity and L diversity. First, in order to reduce the computational complexity, a classification attribute is determined to classify the data table initially, and the equivalent class number K and the sensitive attribute value category L are limited according to the number of the original ancestor in the source data table. Then, considering the influence of the change of the internal range of the attribute value on the clustering, the equation for calculating the distance between the original ancestors with weight is established, using the idea of greedy and binary K clustering to classify the data table initially sets are clustered and generalized. In addition, this big data desensitization method determines the security level policies of different permissions by adjusting the size of K and L. Our algorithm can adapt to the desensitization of power big data with different attributes in different scenarios. It can not only fully mine the value of data, but also effectively protect the privacy of users.
Common coupled fixed point theorems on cone b-metric-like space
Authors: Wang Changchun , Xu Guangjun , Zhang Zhuanzhou , Ran Jie , Chen Zhiyou
Published: March 2020

In this paper, cone b-metric-like space is an extension of cone metric space, b-metric space and metric-like space. In this space, two functions have an unique common couple fixed point if they are w-compatible. Some examples are given to explain these new results.
Study on Moving Base Alignment of INS/CNS Integrated Navigation System
Authors: Zhu Hai , Zhao Wangyang , Zhou Lingfeng , Wang Kai , Zhao FengHao
Published: March 2020

Aiming at INS/CNS moving base alignment problem, this paper designs a moving base alignment method based on comprehensive calibration mode of INS error. Based on attitude and position measurement information of INS/CNS, this paper deduces linear status equation of INS/CNS, and meanwhile analyzes and establishes measurement equation for the alignment equation. It designs a moving base alignment solution based on the information integration method with Kalman filtering technology, and verifies the effectiveness of alignment with the method under moving base conditions through simulation analysis. The simulation results show the method may reach heading precision superior to 15” within 60min under dynamic navigation of ships.
Analysis of the Impact of RMB Exchange Rate Fluctuations on Guangdong’s Outward Foreign Direct Investment
Authors: Xie Xiuzhen , Huang Hongwu , Gao Fengjiang
Published: March 2020

For a long time, China’s balance of payment has been in a “double surplus” situation which may easily cause imbalance in the country’s economy, so we must keep expanding outward foreign direct investment to ease domestic inflations. Guangdong has accelerated its outward foreign direct investment significantly nowadays. Through descriptive statistics and measurement research, it is found that Guangdong’s outward foreign direct investment has been growing year after year, and the modes are diversified, however, the overall scale is still small. The investment regions are not balanced, and the investment mainly focuses on low-end industries. The relations between outward foreign direct investment and the RMB exchange rate show positive correlation. Based on the findings, it is suggested that we should seize RMB appreciation opportunity to expand the scale of our investment, and optimize the investment structures and investment regions.
Research on the construction of spatial-temporal network of multi-attraction smart scenic area based on information technologies
Authors: Yao Lifei , Ma Ruimin , Wang Hua
Published: March 2020

Information technologies such as mobile Internet, big data, artificial intelligence and remote sensing technology are playing an important role in smart scenic area. This study firstly defines the concept of multi-attraction smart scenic area. Secondly, we describe the construction about spatial-temporal network of multi-attraction smart scenic area, which helps to promote the tourists into orderly movement in multi-attraction smart scenic area and relieve congestion phenomenon of multi-attraction smart scenic area.
The influence of spectral calibration error of the hyperspectral remote sensor on the TOA radiance
Authors: Zhang Yaqiong , Zhang Wenjuan , Chen Zhengchao
Published: March 2020

Based on the surface reflectance data of the calibration field and spectral calibration coefficients of typical hyperspectral remote sensor, the quantitative effects of the spectral calibration error of hyperspectral remote sensor on the top-of-the-atmosphere (TOA) radiance was analysed by simulating the TOA radiance with spectral calibration error. The results show that: (1) The TOA radiance errors caused by spectral calibration errors are mainly distributed in the solar and atmospheric absorption channels, and the water vapor absorption band errors near 1380 nm and 1870 nm are the largest. (2) With the increase of spectral calibration error, the maximum TOA radiance error in the whole spectrum range increases significantly. Taking a 10 nm resolution hyperspectral remote sensor as an example, 10% and 30% spectral calibration errors bring maximum errors of 34.28% and 68.67% to the TOA radiance, respectively. The spectral calibration error has a significant linear relationship with the maximum TOA radiance error (R2 > 0.98). (3) The shape of spectral absorption region is sensitive to spectral calibration error, which provides a theoretical basis for the feasibility of spectral calibration based on absorption band. The above conclusions provide a reference for spectral calibration and calibration accuracy requirements of hyperspectral remote sensor.
Mining and forecasting of infectious disease transmission data based on smart cities
Authors: Mou Jiongxu
Published: March 2020

With the rise of a new round of urbanization and the growing public awareness of public health, the traditional infectious disease management system can no longer meet the health management needs of smart cities. Establishing statistical indicators and combined time series analysis and prediction models that reasonably describe the spread of infectious diseases can explore the basic trends of infectious disease transmission and make reasonable predictions. In this paper, the number of patients and deaths in the provinces and cities of tuberculosis from 2004 to 2016 were used. The data of tuberculosis from 2017 to 2019 was predicted by the ARMA model. The model was tested by comparison to prove that the method of mining and prediction was reasonable. The health management department of the smart city formulates policies to provide reference.
Design of Remote Hydraulic Teaching System
Authors: Zhou XiaoDong , Xing Keli , Yin Lisheng
Published: March 2020

In this paper, a set of remote hydraulic teaching experiment system is designed and developed based on the demand of teaching experiment of hydraulic related courses in colleges and universities, which can enable teachers or students to conduct experiment operation on the field hydraulic testing platform at the remote client, so as to facilitate teachers and students to carry out hydraulic teaching experiment and research. The main contents of this paper are as follows: according to the requirements of hydraulic servo control system related to the teaching experiment, the experimental project of remote hydraulic teaching experiment system is determined. Through the analysis and comparison of C/S and B/S software system architectures, the remote monitoring scheme based on B/S mode is determined. Completed the design of the hydraulic circuit of the hydraulic test bench, developed the field measurement and control system based on LabVIEW, and built the remote monitoring system based on B/S mode. The development of the remote hydraulic teaching experiment system was completed. The input signal response experiment and load characteristic experiment of the valve-controlled motor electro-hydraulic speed servo control system were carried out on the remote client to the field hydraulic experiment platform, and the experimental results were analyzed. The experimental process and results have reached the expected target and meet the demand of remote hydraulic experiment.
Modelling and analysis of bandwidth on CMUTs for medical imaging
Authors: Liang Liuyang , Li Yan , Zhang Peiyu
Published: March 2020

The bandwidths of capacitive micromachined ultrasonic transducers (CMUTs) affect the resolution of the ultrasound image. This paper analyzes the factors affecting the bandwidth, defines the form of the gain bandwidth product, and studies the maximum condition of the performance metric. Using MATLAB simulation calculation, the parameters of the CMUT bandwidth and gain bandwidth are simulated in transmit and receive modes. The influence of the product provides a theoretical basis for further design of the composite CMUT, increasing the bandwidth and thus improving the resolution of the ultrasound image.
Research on distance measurement method of moving objects in video
Authors: Zhou Wei , Zhang Youfeng , Zheng Yunhong , Li Pingfan , Xu Min
Published: March 2020

We propose a smart car loading camera to simulate the vehicle driving process, the purpose of which is using monocular vision to solve the collision problem that may occur when passengers open the door after the vehicle stops. First of all, Youzheng Zhang’s calibration method is used to obtain the internal and external parameters of the camera, and then the inter-frame difference method is used to lock the moving target in the video. After preprocessing the image, an iterative method is proposed to automatically obtain the threshold to complete the target object segmentation. Combined with the calibration parameters, the distance of the target object is calculated based on the proportion of similar triangles. The test results of videos taken in multiple different scenes show that the average measurement error of the algorithm is 44mm.
Porosity Prediction of Ceramic Matrix Composites Based on Random Forest
Authors: Gao Xiang , Wang Lefan , Yao Leijiang
Published: March 2020

Porosity is an important characteristic attribute of carbon fiber reinforced ceramic matrix composites (CMCs), which is closely related to material properties and directly affects the application range and prospect of composite materials. For the purpose of design optimization in Material Genetic Engineered (MGE), the porosity prediction method based on machine learning technology was proposed to provide material attribute data for propulsion material performance prediction. This study collect CMCs experimental data from papers and Materials Genome Engineering Databases. According to the composition of the materials and the characteristics of the preparation process, 9 influencing factors and 1674 experimental data were selected to establish random forest regression (RFR)and compared with support vector regression (SVR). Using R2 scores and root mean squared error as model evaluation indicators, R2 scores respectively are 0.751 and 0.927 in SVR and RFR, root mean squared error respectively are 0.0062 and 0.0019. The results of the study show that the RFR model predictions are well matched with the experimental values.
Eco-cycle based primary and middle schools’ campus planning and architectural design practice
Authors: Ouyang Fangxin
Published: March 2020

By taking into account the regional features of the planning and design project, this paper sets to discuss the design ideas in campus planning and architectural design for primary and middle schools. Based on the project, it goes deeper to ponder on what kind of features should primary and middle schools’ buildings should have in the macro-environment of Chinese education, and what kind of campus atmosphere should be created. The paper also explores the universality of eco-cycle in campus and interest campus.
Research on the Evaluation Model and Application of University Teachers’ Information Awareness in the Information Age
Authors: Xu Juan
Published: March 2020

As a transporter of talents to the society, college teachers directly influence their ability to acquire, judge and use information, which affects the effect of information-based teaching and affects the quality of talents delivered to a certain extent.In view of this, the article builds a set of scientific and systematic informationization evaluation index system of college teachers in the information age, uses principal component analysis method to construct the evaluation model of college teachers’ information consciousness in the information age, and the information of college teachers The sample survey of consciousness is carried out, and the evaluation model is used to comprehensively evaluate the application of college teachers’ information awareness. Finally, the evaluation results are briefly analyzed.
Research on the Evaluation of Information Awareness of Teachers in Contemporary Colleges and Universities Based on Grey Relation Degree Analysis
Authors: Xu Juan
Published: March 2020

The information awareness of college teachers directly affects their speed and ability to obtain, judge and use information, and then affects the effectiveness of information teaching. In view of this, on the basis of constructing a scientific and systematic Information awareness evaluation index system for university teachers in the information age, eight experts were invited to empower the first-level indicators of the constructed indicator system; The evaluation model of information consciousness of college teachers in the information age was constructed by using grey correlation degree analysis method. Ten teachers of university in Changsha were selected to make an empirical evaluation of their information awareness, and the evaluation results were analyzed briefly.
Wireless Sensor Network Positioning Method Based on the Boundary of Sea Level in Three-Dimensional Space
Authors: Shu Renyi , Shen Xiaobo , Cai Jun , Wang Li , Wu Yan
Published: March 2020

All locating one unknown node requires at least four reference nodes in a three-dimensional space. If three reference nodes are used, then at least two places can satisfy the result of positioning in a wireless sensor network. Hence, on the basis of the boundary of sea level, the reference nodes are on the sea level below, whereas the unknown nodes are above. Here, we determine the solution of positioning both unknown and reference nodes with different spatial locations to find three reference nodes that are noncollinear and are the nearest to one unknown node. The experiment proves the accuracy of positioning with three reference nodes, which are furnished by the boundary of sea level. We conclude that the method of positioning that only uses three reference nodes can exactly realize the position and simultaneously increase the speed of positioning.
A Phase-Shifted Full-Bridge Converter Used for DC Charging Pile
Authors: Zhang Mingda , Wang Sijin , Sun Yihui , Guo Zhejun , Bao Jianyu
Published: March 2020

The zero-voltage switching (ZVS) phase-shifted full-bridge (PSFB) converter has the advantages of simple circuit topology, low voltage and current stress, and controllable working frequency. If applied to the dc charging pile, it can effectively reduce the switching loss and improve the overall operating efficiency of the power supply system. The working principle of ZVS PSFB converter is analyzed, and the main circuit topology of the converter is determined by combining with the technical specifications required by the dc charging pile. Based on PI control, wide range dc voltage output of converter is realized. Finally, PSIM is used to carry out simulation test on the PSFB converter, and the simulation results verify the correctness of ZVS operation and the effectiveness of closed-loop control.
Analysis of the Information Security Risk Assessment Mechanism Based on the Power System
Authors: Li Jian , Wu Jia , Zhao Yi
Published: March 2020

In the risk assessment of the traditional power system information security, the traditional assessment methods are inefficient and the accuracy needs to be further improved. This paper establishes the analytic hierarchy process (AHP), designs a new information security risk assessment model in combination with fuzzy mathematics in risk assessment, and describes the content of the model in detail.
Analyzing problems of distribution transformer service areas based on customer-side data mining
Authors: Xiao Shanshan , Wang Liancheng
Published: March 2020

With the development of economy and the continuous improvement of living standard, the contradiction between the rapid growth of electric load and the untimely renewal of power grid equipment is increasingly prominent. Power supply reliability issues or frequent power outages and customer complaints exist in many areas. Due to the limited human and material resources of power supply companies, the problems existing in the distribution transformer service areas cannot be resolved timely and thoroughly. As the direct service objective of electric power, customer’s experience of using electricity will reflect the power quality of the distribution transformer service areas to a great extent. Therefore, this paper will start with work orders from customer sides, find out the existing problems in distribution transformer service areas based on the data association rules, and help make informed decisions. The proposed method not only reduces the investment of capital and manpower, but also reduces the number of power outages, and improves the customer satisfaction.
Calculation of new energy maximum access capacity and design of software platform
Authors: Zhang Hua , Ji Cui , Diao Chang , Ping Yongchen , Tan Qiming
Published: March 2020

In view of more and more new energy access to the power grid, this paper proposes a new energy maximum access capacity calculation method, which considers four factors: voltage fluctuation, voltage deviation, harmonic current and transmission capacity. In addition, it develops a set of computing software platform. The platform is based on Python language. The input format file of the platform is a common excel file, which is simple, convenient, flexible and easy to operate. The platform can calculate the maximum access capacity of new energy under the specific grid structure, and give the reasons for limiting access only after inputting the line parameters, new energy parameters, node parameters, transformer parameters, etc.
Fast Energy Equalization Control Strategy for Flywheel Array System Based on the Energy Prediction
Authors: Ren Jingpan , Ma Hongwei
Published: March 2020

Flywheel energy storage array has attracted extensive attention because of its high power density, wide operating temperature and no environmental pollution. But there are few suitable power distribution strategies which hinders its development. This paper proposed an energy prediction fast equalization method (EP-FEM) to distribute the power of the array to each unit. In consideration of the current energy of flywheel and the predicted energy of next control cycle, this method can solve the problem of the unbalance of the residual energy among the units and prevent the oscillation of the output power of the unit when the control cycle is too long. A flywheel array model has been established in Matlab/Simulink and verified the effectiveness of this strategy.
Research on Substation Protection Measurement and Control Integrated Configuration Device Based on SoC Chip
Authors: Zou Xiaofeng , Zhou Guliang , Ling Hao , Yu Wuguo , Pan Junjun
Published: March 2020

Aiming at the development status of relay protection in intelligent substation, an integrated configuration device of substation protection measurement and control based on SoC chip is proposed. SoC chip integrates dual-core ARM Cortex-A9 and FPGA, which makes full use of the powerful data interaction ability of FPGA and dual-core CPU and realizes the basic function of substation protection and interval measurement and control. With the high integration advantage of SoC chip, it simplifies the hardware plug-in of the device and realizes high integration of substation protection measurement and control functions on a single device.
Design of double loop controller for three-level boost converter
Authors: Zhao Yang , Xu Tieduo , Zhao Yun , Hu Shengqiao
Published: March 2020

Three-level Boost Converter (TLBC) is widely used in new energy generation grid-connected technology. This topology not only reduces the voltage stress of the switching tube and the diode, but also has a smaller size, lighter weight and higher power density. However, it has the problem of midpoint potential shift. In this paper, a dual closed-loop controller is designed by establishing the AC small-signal model of the system. while stabilizing the output voltage, the upper and lower capacitor voltages are dynamically adjusted to ensure the balance of the midpoint potential. Finally, this paper establishes a simulation platform in MATLAB/Simulink and verifies the dual-loop controller scheme.
Research on the Topology of the Ubiquitous IoT Distribution Network in Power System
Authors: Lai Ji , Wu Jia , Han Xiaoyun
Published: March 2020

Starting from the perception layer, network layer, platform layer and application layer, the construction of ubiquitous IOTIPS (Internet of Things in Power System) integrates and applies new technologies such as sensor technology, power electronics technology, automatic control, cloud computing, intelligent terminal and so on, which is the core task to implement the strategic goal of “three types, two networks and the first class in the world-class” of the State Grid Corporation. Based on the construction objective of ubiquitous IOTIPS, this paper focuses on the application scenario of distribution network and analyses its network topology. Combined with the Smart Energy Router (SER) proposed in the context of energy Internet, the topology of a new ubiquitous IoT distribution network in power system is proposed. Aiming at the massive data brought by the Internet of Things, a user data information network independent of the communication network used to transmit control or measure signals in the existing distribution network is proposed. Finally, the key technologies are briefly sorted out layer by layer, and the application prospect of the topology of the proposed ubiquitous IoT distribution network in power system is prospected.
Research on the application of power battery in oil field equipment
Authors: Zhang Ran , Xu Mingqing
Published: March 2020

In order to fundamentally solve the potential safety hazard caused by the need to connect the electrical equipment to the high-voltage transformer, the application research of the power battery in the oilfield electrical equipment is organized, and the electrical equipment based on the power battery is developed, which realizes that the wellhead transformer can meet the power load demand of the whole operation process. The field application proves that the power battery can be applied to the electric operation equipment to realize the intrinsic safety of the equipment, and has good energy-saving and environmental protection effect. The novel electrical equipment is easy to operate, simple to maintain, and can be generalized and applied in oilfield.
Transmission Technical Project Investment Forecasting Under the High-dimension Small Sample Conditions
Authors: Wang Mianbin , Qi Xia , Geng Pengyun , An Lei , Wang Jianjun
Published: March 2020

The electricity market will realize the separation of transmission and distribution, in the new environment, the main profit model of the power grid company will be dominated by transmission and distribution services, it will require the grid company to control its investment and cost accuracy. As a routine maintenance work to ensure the safe and stable transportation of electric energy, the grid technical transformation project has a great impact of the grid operation cost. Due to the lack of the history data, it is difficult to forecast the project’s investment, and the current investment always relies on experience. It needs to construct a quantitative forecasting model to make scientific and objective predictions of investment in technological transformation projects. In this paper, the principal component analysis (PCA) is employed to analysed the history data, then the main factors are obtained, which are used as input variables into SVM models. Finally, from a case study of a certain grid company, the proposed PCASVM forecasting model has better performance on the grid technology transformation project investment prediction, it confirms the effectiveness of the proposed method.
Research and Application of Multiobjective Robust H2
/ H
∞ Fuzzy Control Algorithms for Double Reheat Steam System
Authors: Liu Miao , Li Gengda , Chen Baowei
Published: March 2020

In order to ensure the tracking and anti-interference performance of the second reheat steam system of the ultra supercritical unit, a multi-objective robust H
2 / H
∞ fuzzy tracking control scheme is proposed. T-S model is used to describe the reheat steam system, and the problems of state observation and control error are considered in the design of control strategy. The control design problem is transformed into a multi-objective constraint problem. The design process and robustness of the method are illustrated by a simulation example.
Optimal model for deviation penalty of electricity in joint operation of wind power retailer and heat storage electric boiler
Authors: Liu Xiao , Gao Ciwei , Ding Hengchun , Zhou Lixia , Wang Ting , Ding Jianyong
Published: March 2020

Because of the randomness and fluctuation characteristics of wind power output, there is a deviation between the bidding output and the actual output of the wind power retailer, and it faces with a lot of penalty fees for deviated power. In order to promote clean heating in the northern heating area, the heat storage electric boiler (this article abbreviates as HSEB) have been gradually promoted. Based on the thermal storage capacity of the HSEB, the deviation of wind power output can be reduced to a certain extent. Considering the comfort range of the indoor human body, the indoor heat supply can fluctuate within a certain range, further increasing the regulation capacity of the HSEB. In this study, taking reducing the cost of deviation penalty as the objective function, and a joint operation model of wind power retailer and HSEB is established. By an example, the feasibility of using HSEB to reduce the cost of deviation penalty is verified.
Robust Face detection based on Viola-jones Algorithms
Authors: Xayachack Phonetheva , Zhang Jun
Published: March 2020

This paper describes the experimental methods of using face detection based on MATLAB software. The important things are that interesting in the movement, this face detection are accepted to use four general face detection internationally. We also need to use the Viola and Jones principles in MATLAB for face detection because of its ability to process that image quickly and Very accurate. And this paper aims to study principles and algorithms for active development and improvement.
A 2×2 MIMO Antenna Design with High Isolation and Steady Radiation Performances
Authors: Ding Dawei , Li Dawei , Tang Ting , Min Daiyong , Zhang Qidong
Published: March 2020

This paper introduces a new high-isolation 2×2 multi-input multi-output antenna array design. The antenna array adopts multi-objective optimization method and fragment structure to achieve better performance. The results show that the isolation structure of this design can reduce the mutual coupling between different units of the antenna array. Compared with the traditional mutual coupling suppression technology in the microstrip array antenna, the isolation structure also improves the front-to-back ratio of the array.
Partial discharge classifier based on wavelet theory
Authors: Yun Yuxin , Zhao Xiaoxiao , Zhang YanJie
Published: March 2020

The excursion of fractal parameters is the main obstacle to the application of classifiers trained by fractal-parameter-based features. In order to solve this problem, the characteristics of fractal parameters are studied based on partial discharge ultra-high-frequency signals mathematical models. One solution to this problem based on symlets wavelet has been put forward. And the result of implementation to signals with different signal-to-noise-ratio shows that it’s a promising approach to expand the applicability of the classifier.
An Numerical Analysis Approach for a Novel Electromagnetic Flow Meter with Multi-Electrode
Authors: Li Xuejing
Published: March 2020

Electromagnetic flowmeter (EMFM) plays an important role in technological processes such as the cooling of nuclear reactors. The internal EMFM must have large-size magnet to provide uniform magnetic field. In this paper present a novel electromagnetic flowmeter, which has multi-electrode and non-insulation pipe wall. We present an extended theory and compare it with experimental results. A finite element procedure for the solution of the novel EMFM is presented.
SystemC hardware in the loop simulation scheme
Authors: Zheng Hongyun , Wu Xianghu , Tao Yongchao
Published: March 2020

SystemC is the standard in the field of virtual modeling. With the continuous expansion of semiconductor industry, test verification is a very important part in the whole process of semiconductor. Our research is based on the standard SystemC platform, which is very helpful for the early planning and architecture modeling of SOC architecture, as well as for the later regression testing and upper software development testing. SystemC is a pure software solution, but with more and more customized customer needs, we need semi physical simulation. The so-called hardware in the loop simulation is the integration of software and hardware in a platform for simulation. For example, in the previous pure software simulation tests, all of them are virtual, and the simulation engine is implemented by pure software. It has nothing to do with real world time. There are also real device tests. All devices are pure hardware. If a problem is found, it may affect the overall results. The cost of building hardware again is too high. Therefore, the requirement of hardware in the loop simulation is put forward.
Three dimensional point cloud data reduction algorithm and application in tooth modelling
Authors: Wang Shigang , Peng Shuai , He Jiawen , Pan Bin
Published: March 2020

Reverse engineering is an advanced manufacturing technology, which can design, develop and innovate products. The processing technology of 3D point cloud data is the key of reverse engineering technology, and the simplification technology is an important part of data processing, which plays a decisive role in the quality and efficiency of subsequent surface modelling. The advantages and disadvantages of different point cloud data reduction algorithms are analysed. By combining the efficiency of three-dimensional mesh algorithm with the accuracy of curvature reduction method, a second reduction algorithm is proposed. Firstly, the algorithm uses the non-uniform mesh reduction algorithm of octree to simplify it, to ensure the data of feature points is not damaged, and then uses the curvature reduction method of B-spline surface fitting to simplify it. The experiment of tooth point cloud data reduction shows that this method can retain the details of the original data better on the basis of higher reduction ratio.
Implementation of Digital Image Encryption Algorithm Based on DNA Coding and Chaos Theory
Authors: Li Denghui , Wang Yanhong
Published: March 2020

Because of the large amount of data and high redundancy, digital image can not be encrypted by traditional methods. The method based on DNA and chaos theory can be used for image encryption. The experimental results show that the gray value of the image after encryption is randomly and evenly distributed, which directly loses the features of the original image. The histogram is balanced, the correlation between adjacent pixels is low, and the information entropy is close to the ideal value, which shows a good anti cracking ability and can restore the image well.
GPU-accelerated fast implementation of shortest path algorithm in the noise simulation analysis system
Authors: Qiu Yuxiao , Zou Anxin , Chen Pengcheng , Xu Luwen
Published: March 2020

A graphics processing unit (GPU) framework for the computation of the noise level between the noise source and the receiving point in the noise simulation analysis system is presented. The calculation process of the noise level often encounters a problem of slow convergence, and the calculation amount is large due to problems such as weighted point diffusion, transformation of the potential energy matrix, and gradient degradation. To circumvent these limitations, we devise a GPU-accelerated algorithm to calculate the shortest distance between the noise source and the receiving point, which has been shown to perform 11 times faster than the CPU method. Compare test results between GPU method and CPU method in different mesh density scenarios while maintaining their same calculation accuracy.
A reinforcement learning model based on reward correction for quantitative stock selection
Authors: Chen Haibo , Zhang Chenyu , Li Yunke
Published: March 2020

A novel reinforcement learning model based on reward function correction is proposed to quantify stock selection., In this model, hidden markov model is uesd to predict the trend of the future state and the reward function of reinforcement learning is corrected according to the prediction, which makes it close to the long-term average gradually. Using the method, the prediction accuracy rate of HS300 in China A-market is 76.6%, Sharp ratio is 1.08%, and the average profit rate can reach 32.2%
Research on denoising algorithm of 3D point cloud data based on curvature change
Authors: Wang Shigang , He Jiawen , Peng Shuai , Gao Xueshan
Published: March 2020

This paper focuses on the algorithm of denoising for 3D point cloud data in 3D modelling technology. Through the problem that it is difficult to retain the feature points of traditional 3D point cloud data denoising and the denoising amplitude is too large, taking the change of Gaussian curvature value of sampling points as the basis of region division, an improved denoising algorithm based on the combination of median denoising algorithm and bilateral denoising algorithm is proposed The algorithm is implemented and simulated by pseudo code. The simulation results show that the 3D point cloud data denoising algorithm based on curvature change not only has a higher ability in denoising effect and feature retention effect, but also has a greater advantage in the execution time of the denoising algorithm.
Production and reconstruction of binary Fourier transform computer-generated holograms based on MATLAB
Authors: Zeng Jianhua , Zeng Wei , Yang Jianrong
Published: March 2020

Based on MATLAB, the production and reconstruction of binary Fourier transform computer-generated holograms (CGHs) were realized using Roman III roundabout phase encoding method. The principle, method and step of CGHs were discussed. The digital reconstruction of holograms was completed using CGHs technology, and the simulation of whole holographic recording and reconstruction process was realized by a computer. Additionally, effects of the width of a sampling unitsand the threshold coefficientefon the production and reconstruction of CGHs were studied, which can provide a theoretical reference for the improvement of the quality of the reconstruction image. Compared with experiments, the result of the CGHs technology is more intuitive and obvious. It is inferred that CGHs have the potential to be used to image encryptions and communications.
The spectral conjugate gradient method in variational adjoint assimilation for model terrain correction II: Numerical test
Authors: Tao Sulin , Li Yuhong , Mugume Isaac , Shen Shuanghe
Published: March 2020

The performance of the spectral conjugate gradient (SCG) method proposed in part I of this paper is evaluated by comparison with that of the limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) method and Hager and Zhang’s CG_DESCENT method. The step length is determined by solving the tangent linear model and a line search algorithm with cubic interpolation is introduced for comparison. Numerical tests indicate that the SCG method is effective at correcting the bottom terrain. It is robust, providing small root mean square (RMS) errors and smooth profiles for the corrected bottom terrain for all tests conducted. It has much higher optimizing efficiency than Hager and Zhang’s CG_DESCENT and Liu’s LBFGS methods. The SCG method reduces the norm of the gradient sufficiently and the value of the cost function very quickly. It always provides linear convergence rates, especially when including a regularization term. This study suggests the combined utilization of the SCG method and line search strategy to ensure high efficiency when solving the large-scale unconstrained problems.
Momentum multi-objective optimization algorithm based on black hole algorithm
Authors: Rao Jing , Wu Tao , Chong Wu , Li Yongbo , He Wangyong
Published: March 2020

In this paper, we mainly study the application of a multi-objective optimization algorithm based on the black hole algorithm in motor optimization. Using the combination of global search and local search, the continuous search area is better. The random search method is used in the global search, and a momentum gradient method is used in the local search, which makes the search results have faster convergence rates and easier convergence to the global optimal. A new file management strategy is used to make the optimization results more global and have better generalization ability. in practical application, the design of motor is often affected by manufacturing error, so random noise is added to the selection of optimization results, which can be more in line with the practical application. Finally, the actual motor model and complex function are used to test the performance of the optimization algorithm. Finally, the actual motor model and complex function are used to verify the performance of the optimization algorithm.
CAD secondary development technology based on. NET API
Authors: Zhang Li , Zhang Peng
Published: March 2020

AutoCAD secondary development technology plays an increasingly important role in engineering practice. It can help drafters free from heavy and repetitive tasks and is suitable for different engineering fields. This article details the implementation of secondary development based on the. NET API. This method makes it easier to develop the various plug-ins we need, and to draw various graphics accurately. This paper introduces the development of CAD plug-ins, the drawing of graphics, and the connection between CAD and database. Through the actual development and application, it can be found that the C#-based. NET API technology can easily realize the secondary development of CAD, and the method is easy to grasp and has strong practicability, which can greatly improve work efficiency.
Collision algorithm design based on dynamic rotation model
Authors: Zhai Tingyu , Tian Yi , Wen Zhonghua
Published: March 2020

This article aims to study the inelastic collision between system, based on the daily life of drum ball collision problems, by combining the collision body as well as the impact of instantaneous rotation process of damping kinetic energy consumption situation, designs a Rotating collision model algorithm model of concentric drums collision problem, and then, apply those algorithms to stimulate the size of the drum’s offset that produced by the effect of different tension.
E-commerce evaluation text classification algorithm
Authors: Yang Jingmiao , Yang Hongwei , Zhao Jianping , He Jinlong
Published: March 2020

Based on the research results of the false evaluation and identification of e-commerce shopping, this paper analyzes the characteristics of the evaluation content of the merchant’s brush list. In order to solve the problem that the convolutional neural network (CNN) model is difficult to capture the feature information of the whole evaluation text in the false evaluation identification task, a convolutional belief network (CBN) model based on keyword weighting is proposed. Firstly, the TF-IDF algorithm is used to construct the keyword set, then the word vector is weighted by the keyword vector. Then use restricted boltzmann machine instead of the pooling layer of CNN model to reduce the dimension; finally, the weighted word vector is classified by this algorithm model to complete the recognition task of false evaluation text.
A two-stage ALS point cloud segmentation framework for urban areas
Authors: Han Wei , Huang Daqing , Xu Cheng
Published: March 2020

In this paper, a novel methodology for semantic classification of airborne laser scanning point clouds is introduced in this paper. A two-stage framework integrating point-based classification and cluster-based rules is proposed with a general end to end processing scheme, which is from scattered airborne laser scanning (ALS) data to points with semantic labels. In the first stage, energy function consists of a point-wise-based soft labelings term obtained by random forest classifier and a spatially smooth labelling term. Then, a constrained mean-shift-based clustering algorithm combined with sematic rules is proposed to refine the hard labelings of class-wise point clouds, which can be as a post-processing stage. To verify the effectiveness of our method, the classification results derived for an ALS benchmark dataset are shown in Section 3. Base on the semantic classification results, the two-stage framework can be demonstrated with high accuracy and high plausibility in comparison to some classic approaches.
ACGLM: A Hybrid Approach to Select and Combine Gene Expression Regulation in Cancer Datasets
Authors: Al-bukhaiti Hesham Abdulatef Mohammed , Luo Jiawei
Published: March 2020

Cancer is one of the causes of death in the world and many genes are involved in it. Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators and regulatory mechanisms for cells to define their targets. The study of the Regulatory mechanisms of the two main regulators is complex, but this lead to a deeper interpretation of biological processes. In order to avoid exhaustive search and unnecessary genes, firstly, mRNA expression and miRNA expression are clustered by K-means cluster, then, applied ANOVA test to select significant genes. We proposed a gene regulatory network (GRN) estimation method, using Directed networks with generalized linear regression to predict and explain the relationships between regulators and their targets. Where through GO TERM and KEGG PATHWAY for target genes we got many processes such as cell communication, regulation of the biologic process, biological regulation and cell cycle, DNA replication, and cell cycle, these processes are considered significant to the cancer diseases. by comparing with other methodologies Our approach was better, as well as the results were consistent with the medical literature, where the important regulators in our gene regulatory network have a major role in cancer this explains the efficiency of this approach.
Ant colony algorithm based on data classification
Authors: Tan Wanrong , Gao Jian , Rao Jun
Published: March 2020

Aiming at the drawbacks of ant colony algorithm applied in the medium and large scale traveling salesman problem (TSP), this paper proposes an ant colony algorithm based on data classification (DACO),in which data classification method takes attraction degree as an important consideration.First,the initial data of the selected data set is divided into two categories - candidate class and elimination class according to the law of attraction degree.Then the elimination class is eliminated to reduce the search time.At the same time, the attraction degree can effectively guide the algorithm to search for the optimal solution when the previous pheromone heuristic effect is not significant.In addition, 3-opt local search algorithm is added to further optimize the solution.The experimental results show that the DACO has a better convergence and solution quality compared with other ant colony algorithms.