bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unsupervised/Supervised Hybrid Deep Learning Framework for Low Dose Phase Contrast Imaging
Authors: Zhu Guogang , Fu Jian , Zhao Feng 
Published: November 2020

Abstract
X-ray phase contrast computed tomography (PCCT) has better imaging quality than conventional attenuation X-ray CT and has demonstrated promising application prospects in medical diagnosis. However, reducing the radiation dose during PCCT imaging still remains a major challenge. Recently, deep learning (DL) techniques have been applied to low dose CT and obtain significant progress. Most of them require massive paired images to train the network in a supervised manner, which may hamper their practical applications because the ground-truth images are hard to be obtained in most cases. To address this issue, we report a hybrid deep learning framework for low dose PCCT which capsules unsupervised and supervised learning manners. It combines the advantages of convolutional neural network (CNN) and total variation (TV) and is suitable for both unlabelled datasets and labelled datasets. This framework has been validated and demonstrated with experimental data. It will be helpful to push the practical application of low dose PCCT.
Cross Border Integration of Art Design and Artificial Intelligence
Authors: Li Shuo 
Published: November 2020

Abstract
Artificial intelligence technology has made remarkable achievements in driverless, security, smart city, image recognition, natural language processing, etc. Artificial intelligence is compared with human brain; these applications are all in pursuit of higher, faster, stronger and more accurate “left brain” category. To achieve human-computer cooperation, it is necessary to extend the right brain of artificial intelligence with sense of space, image, imagination and creativity, so as to make the machine more friendly and warm. AI is a system with intelligent decision as its core. AI thinking is a way of thinking to improve efficiency and human life through the application of artificial intelligence technology.
The Trend and Characteristic of AI in Art Design
Authors: Li Shuo 
Published: November 2020

Abstract
The future development trend of AI includes chat robot, knowledge extraction and calculation, AR enhancement, human-computer cooperation, automation and intelligent app platform. These trends will have a profound impact on art design, especially in the efficiency and aesthetic aspects of design, not only has the trend of replacing ordinary designers, but also is more likely to gradually have aesthetic awareness and thinking. These new changes will be combined with big data analysis and logical operation, sample learning and independent learning, and artificial intelligence will have greater development in the field of art design. The machine understands the data structure of the design. There are some related researches in the industry: parametric design and computational design.
Research on Location Selection of UAV Distribution Center Based on Improved Gravity Method
Authors: Zhang Zhao , Zhang Zhiguo , Chen Xue 
Published: November 2020

Abstract
In order to speed up logistics distribution efficiency and reduce distribution costs, logistics companies around the world began to use drones for related distribution work. In addition to upgrading the hardware technology of UAV, optimizing the distribution path is also one of the ways to reduce the distribution cost of UAV distribution center. In this paper, the location of UAV distribution center will be studied theoretically based on the economic optimization and equipment maintenance optimization. Finally, the feasibility of the algorithm is verified by simple simulation application.
Satellite Communication System adopts OFDM-MIMO Technology with High Speed Connectivity
Authors: Tian Dong , Xu Rujun , Ma Aili , Chai Yuan , Yang Tong 
Published: November 2020

Abstract
The space communication development has strong urgent requirement for technology upgrading and evolution. The satellite communication capacity can be advanced by the application of higher data transmission efficiency. It will be contented with diversified High Throughput Satellite (HTS) communication application requirements. A satellite communication system architecture design featured by higher transmission efficiency using Multi-Input & Multi-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) technology which has been wildly used in next generation of terrestrial wireless communications has been presented. It is proposed to solving problems on multiplexing data transmission, receiving signal’s anti-interference, and supporting various multi-user terminals. The throughput and application analysis was done to evaluate system performance in terms of diverse HTSs. A comprehensive evaluation and simulation analysis of space communication application efficiency are carried out to verify the feasibility of basic space application under the diverse simulation conditions. The total throughput of the communication system can reach up to 259Gbps as extremely high speed connectivity, and the maximum spectrum efficiency is close to the ultimate performance of 100bits/s/Hz.
A Pricing Mechanism Which Implements Allocation in Shannon Formula of Home Cellular Wireless Communication
Authors: Wang Zekun , Zhang Fuxi 
Published: November 2020

Abstract
According to the requirements of resource management and interference suppression in-home cellular Wireless Communication, take the ratio of effective capacity to power consumption as the optimization objective, the Shannon formula was taken into account. A pricing mechanism that implements a rate allocation in Nash Equilibrium point in unicast provisioning was presented. The operation mechanism of this mechanism is described in detail, compared with previous similar mechanisms, the mechanism more able to meet the actual needs of communication.
Research on Power Consumption Information Acquisition System Based on Broadband Power Line Carrier Technology
Authors: Gu Jie , Guo Ronghui 
Published: November 2020

Abstract
At present, the broadband power line carrier communication technology is developing continuously. It has the advantages of improving the real-time, stability and reliability of acquisition, and it can carry out unified comprehensive management of the distribution power communication network, so it has a more extensive application prospect. This paper analyzes and compares the mainstream communication technologies of the current power consumption information acquisition system, discusses the advantages and disadvantages of various communication technologies, and discusses and analyzes the application prospect of broadband power line carrier communication technology.
Effects of Malware Attacks on the Cascading Failure of Cyber-physical Power System
Authors: Shen Meie , Gao Xingle , Peng Minfang 
Published: November 2020

AbstractIn this paper, a stochastic cascading failure model considering the structure and operation of cyber-physical power system is proposed. The model takes into account the community structure and the heterogeneity of networks as well as the complex interdependence of coupling networks. Moreover, the malware spreading in the cyber network and the power flow redistribution in the power grid are considered to describe the dynamic operational characteristics of the system, and a stochastic method is adopted to describe the operating state transition of network components. In addition, the effects of community structure strength and immunization strategy on the cascading failure of coupled system are studied. The results show that the cascading failure of coupled system is the result of malware attacks repeatedly triggering the power grid. Results also suggest increasing the community structure strength of cyber network helps to suppress the impact of cyber-attacks on the coupled system, and community bridge immunization is the optimal immunization strategy for inhibiting failure propagation in the modular interdependent network.
THz Pseudo-Bessel Beam Generation Base on Axicon-frustum Antenna Array
Authors: Huang Han , Zeng Yongxi , Zhang Weiyu , Yu Yanzhong 
Published: November 2020

Abstract
An axicon-frustum antenna array was designed. Circular microstrip antenna with coaxial feeding was taken as an element to place on concentric rings at equal intervals, constructing a phased axicon-frustum antenna array, which were then simulated and optimized by Ansoft HFSS. The results showed this antenna array can not only radiate a 0-order narrow beam with stable gain, but also generate a high-order radiation pattern with orbital angular momentum, which was demonstrated as an axicon-frustum antenna array which can generate pseudo-Bessel beams.
Robust Power Allocation for Multi-Homing Heterogeneous Networks with Energy Harvesting
Authors: Hossain MD Tanim , Xu Yongjun , Yang Yang , Gu Bowen , Li Guoquan 
Published: November 2020

Abstract
To improve user’s data rate and network coverage, multi-homing heterogeneous network has been considered as a key technology in recent years. However, traditional power allocation schemes cannot provide good robustness and suppress the impact of parameter perturbation due to the random interference and channel delays. A robust power allocation algorithm is proposed for an orthogonal frequency division multiple access based multi-homing heterogeneous network under energy harvesting. Considering the channel uncertainties from base stations to users, the total data rate of all mobile terminals (MTs) is maximized under the rate outage constraint of MT. Based on the uniform distribution of uncertainty, the originally robust counterpart problem is transformed to a deterministic and convex one. The Lagrange dual decomposition theory is used to solve it. Simulation results demonstrate that the proposed scheme has good convergence and robustness.
Research on the Blended Teaching Practice Based on the Ketangpai Network Teaching Cloud Platform
Authors: Zhu Yangqing 
Published: November 2020

Abstract
The Ketangpai cloud teaching platform gives full play to the ability of teachers and students to carry out teaching design, and can fully manage all teaching activities before, during and after class. It is a very practical and effective blended teaching tool. Taking the course “Application of Excel in business” as an example, the blended teaching practice and blended teaching investigation evaluation were carried out by using the Ketangpai cloud teaching platform. Through the exploration and practice of this blended teaching, the ability of Excel data processing and business management of students were effectively improved, the ability of students’ autonomous learning, cooperative learning and inquiry learning were cultivated, enhanced the spirit of students’ diligent study, self-discipline, overcoming difficulties, being willing to help others and striving for perfection, realized the transformation of students from shallow learning to deep learning. It fully verified the positive role of Ketangpai cloud teaching platform in blended teaching.
The Investigation of the Improvement of Agricultural Product Uplink Based on Rural E-commerce
Authors: Chen Zhaohan , Shi Li 
Published: November 2020

Abstract
Agricultural product uplink(APU) refers to selling agricultural products produced in rural areas from the place of origin to various regions across the country with the help of advanced Internet technology, so that the agricultural and information technologies can be organically combined to achieve the sales of agricultural products on the Internet platform. APU can promote the integrated development of urban and rural areas in our country, thereby helping the country to head towards common prosperity. However, China’ s APU is difficult to be effectively carried out across the country.
Therefore, this paper hopes to do some deep researches through this issue, gathering some information about rural E-commerce at home and abroad and pointing out that there are still some problems. Based on this, putting forward the corresponding solutions in order to create a complete system of theory further to help guide to raising people’s consciousness and ability on APU.
The results show that there are indeed great obstacles during the development and implementation of APU, such as the failure to achieve the standardization and branding of agricultural products, as well as the shortage of talents. Nowadays China should do a good job in improving the quality of agricultural products, building characteristic brands, and vigorously cultivating rural E-commerce talents to promote the development of agricultural products. It is still a long way to go for APU to achieve significant results.
Application Research of Virtual Reality Technology
Authors: Ma Xueliang 
Published: November 2020

Abstract
Virtual reality technology is an important subject in the 21st century, as well as one of the important technologies affecting people’s lives. The characteristic of the latest technology in the field of computer is to create a virtual environment for users in an imitative way, and to make users feel immersed in the virtual environment through perceptual behaviors such as seeing, hearing and touching, and interact with the virtual environment to cause real-time changes of the virtual environment. Virtual reality technology integrates computer graphics technology, multimedia technology, human-computer interaction technology, network technology, three-dimensional display technology and simulation technology, and it is the latest technology in the field of computer science and technology that has been developed comprehensively. It is also the comprehensive application of mechanics, mathematics, optics, mechanism kinematics and other disciplines. This paper fully discusses the research status of virtual reality technology at home and abroad, and forecasts the development trend of virtual reality.
Design of Intelligent Multi-layer Three-dimensional Bicycle Parking Garage
Authors: Wang Chenglin , Jia Ye , Zhao Lijun , Guo Pengyuan 
Published: November 2020

Abstract
Along with the comprehensive construction of resource-saving, environment-friendly, low-carbon response to the call for green environmental protection. In view of the difficulties of bicycle parking, waste of public land resources and easy to lose, a new scheme of bicycle parking garage is designed. An automatic bicycle access system based on Arduino control chip is designed, including pneumatic and circuit control. Pneumatic control is used to grasp the bicycle manipulator; external circuit is used to process the input and output signals; AC and stepping motor are used to realize the lifting and horizontal movement of bicycle transportation. UG software is used to model, simulate and analyse the bicycle garage; Arduino software is used to write the control and management program of the automatic bicycle garage to realize the automatic access, record and safety protection functions of the bicycle. Through the establishment of the actual bicycle garage model, the feasibility of the design is verified; it has the advantages of convenient use, fast access to the car, high security, and high space utilization rate; it greatly saves the public land resources and facilitates people’s travel. Foreword: in recent years, people’s awareness of environmental protection has been strengthened, and the slogan of energy conservation and emission reduction has been put forward, and gradually a large number of shared bicycles have emerged. The use of bicycles is on the rise, which also leads to the difficulty of access to bicycles. The storage area covers a large area and is easy to be damaged and lost outdoors. In order to solve these problems and realize the concept of building an environment-friendly and smart city, the bicycle parking garage combines the intelligent system, and various intelligent parking garages emerge as the times require.
Leak Source Beam-forming Location of Spacecraft in Orbit Based on Dispersion Characteristics of Lamb Wave
Authors: Qi Lei , Feng Yaoqi , Sun Lichen , Li Xi , Liao Tao , Zhang Yu , Rui Xiaobo 
Published: November 2020

Abstract
In recent years, the number of space debris is increasing rapidly, threatening the safety of spacecraft. More and more spacecraft are at risk of colliding with space debris, which may cause air leakages on the sealed container of spacecraft. This is a huge danger for spacecraft and astronauts. In this paper, a leak source location method based on beam-forming and dispersion characteristics of Lamb wave is proposed. The ‘L’ shaped sensor array with 8 acoustic emission sensors is used to collect the Lamb waves. Due to the dispersion characteristics, a 10 kHz narrow band pass filter is used firstly to process the signals. And then with a priori knowledge of guided-mode frequency dispersion curves of Lamb waves, the corresponding propagation speeds of waves are determined to obtain the time delay matrixes. By the delay-and-sum beam-forming algorithm, the leak source can be directed. The experiment result shows that the accuracy rate of the leak location is more than 90% evaluated by location error less than 5°.
Study on Flow Interference of Multi-group Parallel Jets between Heat Transfer Tubes
Authors: Wu Weirang , Tao Yuchun , Yu Tong , Yang Xunzong , Ye Chun 
Published: November 2020

Abstract
In order to find an approach to optimize the hydraulic cleaning equipment of steam generator secondary side of CPR1000 reactor, the Computational Fluid Dynamics (CFD) method was used to simulate the flow of multiple groups of parallel jets. In this simulation, the RNG k-ε turbulence model and the gas-liquid two-phase flow model is employed to distribute the jet flow between heat transfer tubes. The results show that with the increase of the jet angle, the pressure aggregation on the tube sheet decreases obviously, which is caused by the deflection force due to the pressure difference between the two sides of the jet. With the jets distance increasing, the interaction between jets decreases obviously. When the distance is up to more than nine times of tube spacing, the force that causes deflection of the jet will almost disappear. With this distance, the jets can maintain a good linearity and obtain a satisfied cleaning effect on the heat transfer tubes.
E-commerce Item Identification Based on Improved SqueezeNet
Authors: Fan Kai , Niu Lianqiang , Zhang Shengnan 
Published: November 2020

Abstract
In order to improve the recognition rate of product images in e-commerce recommendation scenes, we proposed a high-performance improved SqueezeNet convolutional neural network, which uses a Fire Module structure containing two large convolution kernels to reduce the complexity of the model while fully extracting features, and adding a pooling layer behind each Fire Module to effectively filter key features of the classification. Experiments show that the algorithm in this paper has a better application in image recognition in e-commerce scenes, and the recognition accuracy is improved by 1%.
Optimization and Comparison of Photovoltaic MPPT
Authors: Zhao Anlei , Zhu Rui , Wang Guangchao 
Published: November 2020

Abstract
Maximum Power Point Tracking (MPPT), as the contral core of the output power of photovoltaic power generation system, is extremely crucial to the entire photovoltaic power generation system. In this paper, a number of common MPPT control methods are analyzed in comparison, and the traditional conductance increment method is improved as well. By means of comparative analysis in the simulation software MATLAB/Simulink, it turns out that the improved conductance increment method excels the traditional method with regards to optimization speed and stability.
Electric Performance Model and Finite Element Analysis of Fuzz Button
Authors: Zhang Zuozhen , Zhang Hengwen , Wang Baoyou , Zhang Lei , Zhu Ming , Yang Fan , Li Jinteng 
Published: November 2020

Abstract
This article focuses on the electrical properties of the Fuzz buttons, determines the relevant parameters that reflect the electrical properties of the Fuzz buttons at work, and establishes three electrical models of Fuzz buttons based on the actual shape and manufacturing process of the Fuzz buttons. Using HFSS software to analyze the electrical performance of the Fuzz button, various curves of the electrical performance parameters of the Fuzz button following the frequency change are obtained. By comparing with the electrical performance data measured by the Fuzz button laboratory, the accuracy of electrical performance parameters are analyzed under three models, so that providing a basis for the establishment of a more accurate electrical performance model of the Fuzz button.
Research on Micro-arc Oxidation Power Supply with High and Low Frequency Coupled Pulse
Authors: Guo Yupeng , Zhu Hailei , Ma Daqiang , Yang He , Lu Xiaofeng 
Published: November 2020

Abstract
A novel micro-arc oxidation power supply with high and low frequency coupled pulse was presented, which was proposed to improve the performance of the fabricated ceramic coatings. The micro-arc oxidation power supply was composed of the human machine interface, the main control board, the three-phase SCR driving circuit, the main circuit power device and the cooling system. The inputting of parameters and the monitoring of power supply process were realized by HMI. The ARM of main control board was communicated via USB to RS232. The voltage regulating part of the main circuit was driven by three-phase SCR to adjust the voltage value during the micro-arc oxidation process. The load test shows that the power supply was realized the output of coupled pulse, and the coatings was smooth which prepared by coupled pulse.
The Effect of Dust Size Distribution on the Propagation of Electromagnetic Waves in a Weakly Ionized Dusty Plasma
Authors: Zhang Jie , Yan Shaohui , Zhao Shanchao , Zhang Guodong , Duan Wenshan 
Published: November 2020

Abstract
The propagation characteristics of electromagnetic (EM) waves in dusty plasma of rocket exhaust are studied. Usually, the dust sizes are different in a general dusty plasma. However, most previous studies have focused on the mono-sized dusty plasma. The influence of dust size distribution on the EM wave attenuation of dusty plasmas has been investigated. The dependence of the EM wave attenuation on the electron density of dusty plasmas, the neutral gas density and the EM wave frequency are obtained and discussed. The results illustrate that the EM wave attenuation constant has a maximum value when the electron-neutral particles collision frequency is close to the EM wave frequency. The EM wave attenuation constant increase with the increase of electron density and dust particles density. Moreover, the EM wave attenuation constant decreases as the dust size decrease for mono-sized dust particles. It indicates that the attenuation of the EM wave is mainly determined by the largest dust particles. Finally, we conclude that the larger the dust particle, the stronger the attenuation to the EM wave.
Parameter Identification of Generator Excitation System Based on Improved Grey Wolf Optimization
Authors: Liu Hengming , Cao Lu 
Published: November 2020

Abstract
In order to ensure the accuracy of power system modelling and the reliability of safety and stability analysis, it is important to confirm the true parameters of the excitation system. This paper proposes that using hunting group division strategy and convergence factor non-linear decreasing strategy to improve the standard grey wolf optimization algorithm, and applied it to the identification of the generator excitation system. The simulation results show that the identification of the excitation system based on the improved grey wolf optimization algorithm has higher identification accuracy and stability, which provides an effective new method for the parameter identification of the nonlinear.