bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Nanosecond Pulse Driver Circuit
Authors: Miao Weitong , Huang Jun , Chen Haitao 
Published: October 2020

Abstract
The laser can achieve high peak power pulse output by electro-optic Q-switch technology. Aiming at the problem of how to achieve Q-switch output with ns level front and kV level amplitude on 100kΩ large load, a method of pulse output by using avalanche conduction state of triode is proposed. By using the 11 stages pulse forming circuit, the DC power supply voltage can be greatly reduced, and the selected devices can work normally under the condition of meeting the first stage derating standard, in order to improve the stability. The key factors affecting the parameters of the output pulse, such as amplitude, pulse width, frequency, leading edge and trailing edge, are analyzed and verified by experiments. Using +150V DC power supply, the experimental results show that the pulse driving source circuit designed in this paper can output a half height width of 12.6ns and an amplitude of 1500V Q-switch regulating signal on a 100kΩ load.
Experimental Study on Acoustic Properties of Foam Ceramics
Authors: Chen Wei , Zhao Xuelei , Hu Sheng , Wu Xiaowen , Lu Ling , Zhou Weihua 
Published: October 2020

Abstract
Foam ceramics have excellent properties such as high porosity, high temperature resistance, chemical corrosion resistance and good thermal stability, and are widely used as metal liquid filter, high temperature gas and ion exchange filter, catalyst carrier, environmental material, heat insulation material, sound absorption material, biological material and so on. In this paper, the preparation technology of porous ceramic materials is investigated firstly. Then the foam ceramic samples with different porosity of Al2O3 and SiC materials were manufactured, and their acoustic properties were tested, and the influence of material and porosity on sound absorption performance was analyzed.
Research of Containment Pressure and Temperature Response
Authors: Wang Xiaoxiao , Zhang Xiaohui , Qiao Lei , Gong Daxin , Wang Jue , Liu Le , Song Jie , Zhao Jing 
Published: October 2020

Abstract
In the paper, the pressure and temperature response of the containment with free volume 1400m3 and 2000 m3 is analyzed based on the mass and energy release for postulated loss of coolant accident (LOCA). And the relation between containment free volume and containment pressure also is analyzed. The results of calculation have certain guiding significance for the determination of the pressurized water reactor (PWR) volume.
RBF Network Adaptive Control of SCARA Robot Based on Fuzzy Compensation
Authors: Xie Bing , Qi Yuming , Su Weihua 
Published: October 2020

Abstract
Facing the requirements of high-precision control of SCARA robot systems in assembly and handling, RBF network adaptive control method based on fuzzy compensated SCARA robots is proposed. First, a SCARA robot dynamics model is established and theoretically analyzed based on Newton’s Euler equations. Second, the RBF network is used to approximate the ideal nominal model. Then, the fuzzy compensator is used to modify the friction, disturbance, load of the system and other external factors to compensate; finally, MATLAB/Simulink software was used to simulate the effect of SCARA robot system with and without fuzzy compensator. Experimental research shows that the control accuracy of SCARA robot joints with fuzzy compensators has been improved by 43.42%, 67.47% and 65.41%, respectively. The research results can provide some guidance for the precise assembly and handling of SCARA robots in production.
Research on Industrial Control Network Security Data Acquisition System
Authors: Xia Qiucheng , Wu Peng 
Published: October 2020

Abstract
In this paper, based on the characteristics of industrial control network security data, research data analysis and data storage technology, design and development of industrial control network security data acquisition system, and through the AFL fuzz method for fuzzy testing, improve the system’s robustness and endogenous security performance. The realization of massive heterogeneous data collection and efficient normalization of industrial control networks can better serve the data layer and promote the rapid development of digitalization of industrial enterprises.
A Novel Approach to Coral Fish Detection And Classification in Underwater Footage Based on Convolutional Neural Network
Authors: Sun Zhijian 
Published: October 2020

Abstract
Tracking and identifying fish species is crucial to understanding marine ecosystem and its role in the world. In this paper, a cost-effective coral fish detection and identification method is proposed. Using the up-to-date models of Convolutional Neural Network (CNN), this paper is able to analyze an underwater footage and highlight all the detectable fish in color frames, and then identifying the species name among the detectable fish. Fish object detection was employed using Open Images Dataset and Tensorflow Object Detection. The paper further explores CNN with squeeze and excitation for fish classification. The proposed model was evaluated on fish4-knowledge dataset and achieved 100% validation accuracy after 50 epochs, better than AlexNet and RetNet, indicating that the solution is robust and practical. In addition, a dataset for coral fish classification in specific location was built using different sources. The model achieved 100% validation accuracy on the proposed dataset.
BAS Intelligent Recommendation Model for Optimum Proportion of Pellets
Authors: Zhu Yinghao , Wang Fengchuan , Duan Ziqing , Shi Kuanlong , Peng Yangyang 
Published: October 2020

Abstract
Combined with the advantages of GRNN in non-linear fitting and flexible network structure, the prediction model of pellet compressive strength is established, the ratio of raw materials (Ca, Si, Mg) is determined, and the important parameters (aged particles) that characterize the particle quality in the particle production process are also determined. Based on the prediction model of compressive strength and the search algorithm of beetle antenna, the intelligent recommendation model of pellet loading proportion optimization is established. The results show that in the range of pellet loading variation not more than 20%, the best charging scheme recommended by intelligent can increase the compressive strength of cooked ball by more than 16% on average, the system runs stably, and the simulation results are effective. Bas intelligent recommendation model significantly improved the average daily compressive strength of cooked balls in the same period of last year.
Operation Decision Model of Wind-Photovoltaic-Storage Hybrid Power System in the Day Ahead Market
Authors: Qi Wannian , Li Jingli , Wei Peng , Xu Jin , Xu Xuefeng 
Published: October 2020

Abstract
In this paper, considering the uncertainty of electricity price and the uncertainty of wind power generation and photovoltaic power generation in the day ahead electricity market, a bidding decision-making model of wind solar energy storage complementary power system composed of wind turbine, photovoltaic generator set and energy storage system is constructed by using two-stage stochastic programming method, so as to maximize the interests of system operators. Finally, the rationality of the model is proved by an example.
Cost allocation model of power pipeline access corridor based on group decision and spatial proportion method
Authors: Li Lingyun , Guo Xinju , Li Dapeng , Li Xuayng , Zhou Tiejun 
Published: October 2020

Abstract
With the continuous acceleration of the urbanization process, more and more cities begin to lay down utility tunnels utility tunnels that can effectively improve the utilization efficiency of urban space. Based on this, this paper firstly studies the construction cost composition and operation and maintenance cost composition of the utility tunnels, and then, considering all stakeholders involved in the electrical cables into utility tunnels, establishes the allocation model of the electrical cables into utility tunnels cost based on the group decision model and the spatial proportion method. Finally, some sections of Qingdao utility tunnels are selected as examples for verification. The results show that the model has strong practicability and can effectively solve the problem of cost allocation of electrical cables into utility tunnels.
RETRACTED: An Improved maintenance method for marine electrical equipment based on the Internet of Things
Authors: Tian Rongming 
Published: October 2020

Abstract
Due to the influence of high temperature and high humidity, the failure rate of marine electrical equipment is higher than that in other situations. The stability of the electrical equipment of ships is of vital importance to the safety of navigation. Traditional electrical maintenance methods have the problem of lagging in response to equipment fault detection and feedback, which is caused by the signal transmission mode. This article applies the Internet of Things technology to the maintenance of marine electrical equipment, which can improve the performance of the maintenance method. Firstly, the fault detect program architecture is adjusted and optimized. The fault sensing modules are placed in the electrical equipment. The traditional electrical signal transmission mode is replaced by the network transmission mode. Then, the fault signal anti-jamming algorithm is used to optimize the compensation calculation of the alarm signal of the electrical equipment fault point to achieve the effect of enhancing the signal sensitivity; finally, the fault detection sensitivity of the proposed method is tested through experiments, and the data shows that the design method is better than the traditional maintenance method.
Design and optimization of distributed cloud storage in marine IoT
Authors: Tian Rongming 
Published: October 2020

Abstract
The traditional cloud storage technology has the defect of little consolidation of actual storage files, due to lack of storage strategy. This paper designs and optimizes the distributed cloud storage technology in the marine IoT. Firstly, we use distributed computing to calculate the node data in the Internet of Things. Then we build a cloud storage framework based on the characteristics of the Internet of Things nodes. Then establish a direct mapping between files and storage strategies in the Internet of Things. Finally, according to the calculated node performance data, a cloud storage strategy is formulated to complete the research on the distributed cloud storage technology in the marine Internet of Things. The experimental results prove that, compared with the traditional cloud storage technology, the distributed cloud storage technology in the marine Internet of Things can finally merge more files when storing files, reducing the storage amount occupied by actual files. It is suitable for practical use.
The Simulation Analysis on the Transient Process of Transformer
Authors: Zhang Peng , Wang Yue , Lan Sen , Zhang Hongda , Zhang Dewen , Liang Jianquan 
Published: October 2020

Abstract
Power transformer is one of the important equipment in the power grid, we must ensure its reliable operation. To achieve that goal, the insulation property of power transformer must be fine, for its breakdown mainly caused by the insulation damage. When the power transformer suffered from the lightning surges, the windings insulation is damaged easily, so we should optimize and design on the power transformers windings insulation structure. Firstly, the computational methods of the inductance, capacitance and the resistance parameter were introduced in this paper, then the inductance, capacitance and the resistance parameters of a SFP-180000/220 three-phase transformer were calculated. Based on the equivalent circuit of transformer, the circuit model in the Matlab was established and simulated when the neutral is grounded or insulated respectively. The relevant initial potential distribution, the oscillating potential distribution, and the final potential distribution were gotten by the simulation. Finally, the characteristics of each potential distribution were analysed, which could provide some references to the insulation structure design for transformers.
Multi-Agent Planning in Heterogeneous Networks
Authors: Wang Zhuli 
Published: October 2020

Abstract
We explore a heterogeneous wireless sensor network (WSN) where densely deployed sensors and Unmanned Aerial Vehicles (UAVs) are cooperated with each other to finish a challenging coverage task. The main goal of this paper is to find the optimal node deployment to minimize the total communication power, which dominates the energy consumption in WSNs. The necessary conditions are derived for the optimal node deployment in this heterogeneous WSNs. By theoretical analysis, UAVs are either all active or inactive. Based on the necessary conditions, we propose a Lloyd-like algorithm, Heterogeneous Lloyd (HL) Algorithm, to obtain the optimal node deployment. The proposed algorithms simulation results show that our algorithm saves more energy than random deployment.
An Accurate Detection System Based on the Convolutional Neural Network
Authors: Kong Xiangli 
Published: October 2020

Abstract
The purpose of this project is trying to detect tumors by computer based on deep learning techniques when a picture of a tumor is shown. In this research, a fast and accurate colon cancer detection is proposed, which means this research can dramatically increase the speed of diagnosis and can also improve the accuracy of confirming a diagnosis. During the experiment, a Convolutional Neural Network (CNN) structure akin to that of VGG Net and ResNet was built. A GPU computer with two 2080 Ti GPUs was used for training. The result of training produced 94% accuracy with a loss lower than 10%. Respectively, this result improved over 10% of accuracy compared to the detection by human eyes. Lastly, this program can be used by any computer to predict the tumor, which allows it transits to a practical tool in the future.
LFN: Based on the Convolutional Neural Network of Gait Recognition Method
Authors: Zhu Xiaopeng , Yun Lijun , Cheng Feiyan , Zhang Chunjie 
Published: October 2020

Abstract
In this paper, a novel method based on convolutional neural network (CNN) to address gait recognition was proposed. Gait is a unique biologic feature that the feature almost cannot be altered. Existing gait recognition virtually based on a traditional method such as Gait Energy Image (GEI). GEI has various gait silhouette sequence images and put this image together. Meanwhile, those images must in the same gait period, which lacks of flexibility. To address this issue, a different gait recognition model, called LFN, based on a convolution neural network (CNN) was proposed. The model is composed of three convolution layers in parallel. It can be trained in an end-to-end manner and each sample gait silhouette in the uniform gait period does not to be required. Our working base on the OU-ISIR large population gait dataset. Being based on the result of the experiments, our network can learn the significant features of each sample gait silhouette sequence effectively, at the same time, our model can achieve high and stable accuracy in three experiments.
Simulation and Analysis on Flow Field of Ball Valve Based on Fluent Software
Authors: Sun Xuefeng , Zhao Zhe 
Published: October 2020

Abstract
In this paper, ANSYS Fluent is used to simulate the three-dimensional flow of the ball valve under different pressure conditions. The flow field torque, speed and pressure distribution are obtained. By normalizing the mass flow and torque, a relationship formula between the flow coefficient and torque that varies with the opening degree is constructed. The problem that it is difficult to obtain the flow coefficient and torque coefficient of the ball valve is solved. The results show that the data after the normalization process basically coincide, indicating that the results have a high degree of confidence.
Temperature field analysis and calculation of augmented capacity conductor
Authors: Wang Weiyuan , Zhang Ruiyong , Zhao Xinyu 
Published: October 2020

Abstract
Augmented capacity conductors (ACC) are emerged with the increase of electricity demand and the improvement of materials science and technology. Transient current-carrying capability (CCC) of ACC has an important effect on the reliability service of the power grid, and it has a closely relationship with the temperature distribution of the ACC, while few academic are conducting. In view of this problem, the fine calculation of the temperature field of the ACC by the Finite element analysis is conducted, aiming to analysis the temperature distribution of ACC and increase the reliability service of the power grid. In this paper, based on the calculation of heat source and thermal convection coefficient of ACC, the thermal model of one type of the ACC is established, and the calculation results are verified by the experiment.
Research on the application of personalized teaching mode based on big data in Computer teaching
Authors: Cai Mengmeng , Zhang Weiwei , Chen Xiao , Sun Yanan , Wang Honglin 
Published: October 2020

Abstract
In order to improve the efficiency of teaching and learning, it has become an inevitable trend to explore a new teaching mode based on the analysis technology of big data in view of the disadvantages of learners’ passive acceptance of knowledge under the traditional teaching mode. For mining online learning behavior, In order to learn the optimal strategy behavior better, a new strategy based on reinforcement learning is proposed based on focused crawler. Using Bayesian classifier, hyperlinks are classified according to the whole web page text and link text, and the importance of each link is calculated, so as to determine the access order of links. Targeted mining of learner interests to predict learner preferences and make personalized guided recommendations. Through the analysis results show that, in the same experiment platform, enhance learning algorithm to get the optimal strategy for online learning behavior training, so that teaching staff can quickly and efficiently make the decision of teaching content recommendation to learners based on learning platform.
Environmental Adaptive Urban Traffic Signal Control Based on Reinforcement Learning Algorithm
Authors: Feng Yanming , Wu Yongrong 
Published: October 2020

Abstract
Urban traffic signal control is an important part of the construction of intelligent regional traffic. Aiming at the problem of the optimal control strategy in urban traffic signals, this paper proposes environmental adaptive urban traffic signal control based on reinforcement learning algorithms. Through the continuous perception of the traffic environment, the position and speed of the vehicles in different environments are expressed in a matrix, and the parameters are continuously iteratively optimized through the reinforcement learning method to optimize the objective function (the vehicle that can pass the most in a limited time) to achieve the purpose of effective vehicle control. According to the traffic simulation software Vissim, it can be known that the algorithm proposed in this paper performs better in terms of average waiting queue length and global average speed compared with other algorithms, and the deep learning algorithm is significantly better than other algorithms in terms of stability. The average speed of the deep learning algorithm is increased by 9% compared with the baseline, and the average waiting queue length is reduced by 13.4% compared with the baseline. The experiments studied this time are sufficient to prove that the algorithm in this paper can adapt to the dynamically changing and complex urban traffic environment and has great research value.
Some Thoughts on the Design for At-grade Intersections of Urban Road
Authors: Feng Huilin , Feng Huiqing 
Published: October 2020

Abstract
Road intersections, as nodes in the road network, are the key to improving operational efficiency. Extensive practice has shown that a reasonable design of the intersection scheme will help to release the road capacity and improve the smoothness of traffic for various participants including motor vehicles and slow traffic. This paper, based on relevant domestic and foreign codes and other achievements, has put forward some thoughts on the design principles, design ideas and follow-up development of intersection engineering, aiming to provide a certain reference for relevant management, analysis and design work. Urban roads are the lifeblood of urban economic life and one of the important signs of development of urbanization. In the process that urban municipal roads are continuously being built into a network and road traffic demand is continuously being tapped and released, the “throat” effect of at-grade intersections of the road is constantly emerging. At the at-grade intersections, under the background of low traffic speed and a large number of people flows and vehicle flows interweaving at the intersection, designing a scientific and reasonable traffic organization scheme for intersections will help to improve the efficiency of the intersection and even the road section. However, the change in the design space brought about by the property line planning concepts such as “narrow roads, dense road networks” and “street all-factor planning and design”, as well as the trend of increasing complexity of urban underground pipelines and underground facilities, have put forward new requirements for the design of road intersections. But at the same time, for some intersection schemes designed according to the new design concept, due to the lack of a clear basis for examination and approval, there is a space for discussion. In view of this, it is necessary to think about and sort out the planning and design process of at-grade intersections, and on the basis of fully examining the three stages of planning design, engineering design and management control design, to put forward suggestions on planning design in the new era and new situation. The author is mainly engaged in the stage of engineering design, so this paper will put forward some thoughts on the at-grade intersection design from the perspective of engineering design and management control design.
Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT
Authors: Wang Yongchao , Cai Dongdong , Nian Yugui 
Published: October 2020

Abstract
As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.
An Improved Method of Evidence Theory Based on Membership Function
Authors: Xu Lixing , Liu Zhi , Gong Bin , Deng Yang 
Published: October 2020

Abstract
Aimed at the two major problems of the basic probability assignment and conflict management in classical evidence theory, a basic probability assignment(BPA) based on membership function is proposed to alleviate the dilemma caused by the above two problems, and an example is given to show the effectiveness of this method.