bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data Processing and Analysis Flow of Internet of Things System
Authors: He XiaoPing 
Published: April 2021

Abstract
The data processing and analysis flow of Internet of things system is the basic process of system design ideas and methods. It includes a series of operations such as requirement analysis, software function design, algorithm and method of implementation, overall structure design, module design, coding and debugging, program linking and testing, compilation and submission of the system. Data processing and analysis process can meet the needs of the system, and solve the problem of the main content of the process. This paper discusses the basic mechanism, principle, type and application of data processing of Internet of things, discusses the composition and elements of data analysis system of Internet of things, and explains the construction process and analysis process and steps of data processing of Internet of things.
Poor University Students Management System Based on Web
Authors: Zhou Tuo , Liu Defang 
Published: April 2021

Abstract
Combining with the actual work of the poverty aid management in F University, this paper analyzes the work flow of the poverty aid management in University, designs and develops the Poor University Students Management System. The system uses web architecture mode, JSP programming technology and SQL Server database management technology. The system is composed of four modules: system management module, institute management module, class management module and student management module. It realizes the functions of poor students’ information collection, poor students’ application, students’ information query and poverty level audit. It improves the efficiency of poor students’ management and realizes the networking, automation and informatization of poor students’ management.
Optimal Dispatching of Microgrid Based on Improved Particle Swarm Optimization
Authors: Zhou Fengdao , Bian Siyu , Wang Dan 
Published: April 2021

Abstract
In order to enable the microgrid to meet the system load demand while performing economically optimal operation scheduling, this paper establishes an island-type microgrid model, which is optimized by using an improved immune particle swarm algorithm, and the inertia weight and learning the two parameters of the factor are improved. On the basis of the immune particle swarm algorithm, a power exponential function operator is added to the inertia weight to improve the search ability of the algorithm, in order to reduce the computing time, the dynamically adjusted learning factor is introduced to optimize the immune particle swarm algorithm the local search ability is stronger. Two examples are selected to verify the algorithm, the results prove that the method has better global convergence and local search capabilities and the convergence speed has been improved.
Talking about the Construction of General IOT Application Software Practice Platform
Authors: Li Chun , Tang Ping 
Published: April 2021

Abstract
The establishment of a basic service platform for the Internet of Things application can provide the necessary basic technical services for the application of the Internet of Things in various industries in the future. In this way, the in-depth integration of data and business levels in various industries can be realized, so as to fully realize the interconnection of IoT applications. This article will analyze and introduce the technology, principles, and related platform design and deployment required to build a practical platform for IoT application software on the basis of an overview of the technical characteristics, content and composition of the Internet of Things.
Lip-Corrector: Application of BERT-based model in sentence-level lipreading
Authors: Zhao Haoran , Zhang Bowen , Yin Zhanhang 
Published: April 2021

Abstract
The current field of lipreading is limited to the processing of visual signal and the optimization of sequence models, but the sentence text is ignored. Aiming at this problem, we proposed a lipreading method combined with natural language processing (NLP) technology, Lip-Corrector, which applies the BERT model in this paper. The front end of the model uses 3D+2D convolutional neural network (CNN) to extract lip information, the middle end uses the Transformer-based Seq2seq sequence model to make sentence-level predictions, and the back end uses a sentence correction method based on the BERT model, which connects to the midend after pre-training on the self-made dataset. Experiments on the two largest sentence-level lipreading datasets of LRS2 and LRS3 show that the performance of this model surpasses all the baselines, which proves that lipreading methods combined with NLP technology will get better results.
Research on New Generation of Power Line Carrier Communication Trusted Networking Algorithm
Authors: Pan Cheng , Guo Liwei , Wang Xiuzhu , Pan Chen 
Published: April 2021

Abstract
With the safe and stable operation of the new generation of power line carrier communication, it is of great significance to the rapid development of smart power grid. However, due to its own physical characteristics and the impact of the external environment, communication cables usually have some security risks, such as aging, damage, theft. In this paper, a new generation of power line carrier communication trusted access network is studied. In this paper, the current situation of the new generation of power line carrier trusted access and network requirements are analyzed, then the principle and characteristics of basic ant colony algorithm are briefly introduced, then the characteristics of power line carrier communication system network and network requirements are analyzed, the improved ant colony algorithm is applied to network optimization of the new generation of PLC communication system. The algorithm makes the power line carrier communication system have certain destruction resistance and recombination ability when the network state changes, it can guarantee the reliable operation of power network communication system.
Research on optimal layout of Video Surveillance in the Smart Grid based on Multi-dimensional Evaluation Objectives
Authors: Wang Liang 
Published: April 2021

Abstract
The video surveillance is a key technology, which is one of the design technology for the ubiquitous perception and acquisition of panoramic information in the smart grid. The remote video surveillance technology and power automation systems such as remote control, telemetry, remote sensing and remote signal, which ensure the normal operation of the whole smart grid, can greatly improve the security of important substations or unmanned substations. At present, there is not a unified standard for video surveillance layout of the smart grid. The video surveillance system in each area is often arranged with reference to the requirements and habits of the operation and maintenance in the region. But, other important factors are not taken into account. In this paper, by constructing the objective function of multi-dimensional evaluation, the optimal layout scheme of video surveillance in the smart grid is obtained. Finally, the effectiveness of the proposed method is proved by the analysis of the cases.
Research on External Quality Automatic Detection and Classification Method of Navel Orange Based on Simple Dense Network
Authors: Tan Yumei , Li Peng , Li Xiaoxin , Yang Longwen 
Published: April 2021

Abstract
We propose a simple dense convolutional neural network model (SDenseNet) to solve the problem of low accuracy and poor performance in classification of navel orange with large external differences. Specifically, AlexNet is adopted as the backbone network, through the introduction of batch normalization(BN) and reduction initial size of the convolution kernel to accelerate convergence of the network model. Besides, we design a new feature reuse structure to promote the connection between layers, and modify the full connection layer by using global pooling to reduce training parameters. The experimental results demonstrate that our proposed SDenseNet significantly improves the performance with 99.33% accuracy on self-built navel orange dataset, outperforming the classic models of LeNet, AlexNet, SqueezeNet and ResNet with significant improvements of 5.33%, 1.55% and 3.55% respectively. The research results provide a new solution for external quality automatic detection and classification of navel orange.
Learning for Graph Matching based Multi-object Tracking in Auto Driving
Authors: Yin Yihao , Feng Xin , Wu Haoming 
Published: April 2021

Abstract
Multi-object tracking in autonomous driving aims to represent trajectories of moving objects for planning system of the vehicle. In this paper, we propose a new tracking-bydetection scheme based on deep neural networks for multi-object detection and tracking in autonomous driving scene. We first introduce a light-weight neural network branch for fast object detection, and based on the detection results on each frame, we build two object graphs for consecutive frames separately, where the vertices of the graph represent the objects in the image, and the edges of the graph represent the spatial relations between the objects. We then formulate the multi-object tracking problem as the graph matching process by learning the relevance between objects from another object association network branch. Experiments results on the MOT multi-object tracking dataset show that the proposed object detection and tracking approach achieves comparable results with state-of-the-art deep learning based multi-object tracking methods, and outperforms them in tracking efficiency, which ensures real-time multiobject tracking for autonomous driving.
Imbalanced dataset classification algorithm based on NDSVM
Authors: Liu Yueting 
Published: April 2021

Abstract
Because of uneven distribution and indistinct boundary in imbalanced dataset, imbalanced dataset classification algorithm based on neighbors density support vector machine (NDSVM)is proposed. In this algorithm, the neighbor range density of each sample in the majority class is calculated firstly. According to the density value, the data which on the majority class border or close to the border is equal to the minority samples in quantity, which are selected, then the minority class complete SVM initial classification. Then the resulting support vector machine and residual data in the majority class optimize the initial classifier. The simulation results of experiments on the manual and UCI dataset show that compared with WSVM、 ALSMOTE-SVM and SVM, NDSVM has better classification performance, which effectively improve the classification performance of SVM algorithm on the uneven distribution and indistinct boundary in imbalanced dataset.
Interface stability of magnetic fluid seal for sealing liquid
Authors: Wang Hujun 
Published: April 2021

Abstract
Theoretically, the velocity distributions of the sealed liquid and magnetic fluid are studied. The velocity of the sealed liquid and magnetic fluid decreases nonlinearly with the increase of the radius. The instability of the interface between magnetic fluid and the sealed liquid is studied. Experimentally, when the rotating speed of the shaft increases, magnetic fluid and the sealed liquid are mixed with each other, and the stability of the interface between magnetic fluid and the sealed liquid is destroyed. The higher the rotational speed of the shaft is, the shorter the time for the interface to remain stable is.
Fatigue strength analysis of desilting platform structure
Authors: WeiDa Kong 
Published: April 2021

Abstract
In order to ensure the fatigue reliability of the dredging platform and key equipment structure, the fatigue of the platform is analyzed by using the analysis method based on S-N curve and fatigue cumulative damage criterion. Firstly, according to the wave characteristics of the Pearl River Basin, the periodic load of the dredger is calculated by using hydrodynamic analysis tools. Then, the fatigue life of dangerous parts is analyzed by using cumulative damage theory and S-N characteristic curve. The results show that the joint of desilting equipment and conveying device is easy to suffer fatigue damage, and the fatigue life limit is 2328h, and the other equipment and structure meet the fatigue requirements.
Study on the decimeter wave absorbing materials
Authors: Han Wei-Hua , Chen Dan , Ju Hui-Hui , Fan Chun-Yan 
Published: April 2021

Abstract
In order to confront the reconnaissance of decimeter wave radar, metal-oxide absorbing materials are studied according to the present development of decimeter wave absorbing materials. The decimeter wave absorption and temperature rising mechanisms of transition metal-oxide are analyzed, the wave absorption and temperature rising tests are conducted, and the temperature rising rates are compared. Testing results show some transition metal-oxides have good absorption of decimeter wave.
Influence of water environment on wet underwater manual self-propagating high-temperature synthesis welding
Authors: Li Zhizun , Sun Liming , Han Xiaofen , Han Fengqi 
Published: April 2021

Abstract
Manual SHS welding is a kind of quick welding technique for emergency maintenance. In this paper, influence of water environment on the welding quality and performance has been studied. Results showed that water had significant influence on the welding. The visibility for welding was significantly reduced, which increased the difficulty of welding operation. The brightness of weld pool in wet welding were darker than that in land welding and the shape of combusting arc was compressed significantly. The highest temperature of weld pool in underwater welding was obviously lower than that in land welding, and the cooling rate of HAZ was faster. The welding quality was worsen remarkably by water. The weld seam was irregular and discontinuous, and a lot of gas pores and inclusions existed in the weld metal. And the amount of deposited metal was obviously reduced. Microstructure analysis showed that the matrix of weld metal was α-Cu solid solution, with Fe-rich second phase distributing orderly on it, which was same as that of land welding. But water caused many apparent inclusions and pores in the weld metal. The tensile strength of weld joints for underwater welding was obviously lower than that of weld joints for land welding.
Finite Element Analysis Based on Virtual Material and Experimental of Vacuum Chamber
Authors: Fu Yongling , Wang Zeqi , Li Wanguo 
Published: April 2021

Abstract
Electron beam imaging system plays an important role in chip defect detection, so optimizing its dynamic performance is crucial. To understand the vibration characteristics of the electron beam imaging system, a reasonable finite element model is established. The simulation results show that the natural frequencies of the model adding virtual material layer are more accurate than bounded, but the local mode caused by the virtual material layer needs to be eliminated. The error of this method is within 10%, which verifies the accuracy of virtual materials in large assemblies. Our research promotes the development of the chip inspection technology.
Microwave Dielectric Ceramic Materials and Their Industry Development Overview and Future Prospects
Authors: Kui Jiujun 
Published: April 2021

Abstract
Nowadays, microwave dielectric ceramics are widely used in all kinds of modern communication equipment, becoming the key material for manufacturing microwave dielectric filters and resonators. With the rapid development of related fields, the scope of application of microwave dielectric ceramics has been further expanded. On this basis, this paper explores the development history of microwave dielectric ceramics and the situation and future outlook of its industry. By combining historical events and data, the development history of microwave dielectric ceramics is described. The situation is also analysed and discussed in the context of the times and current events to provide an objective evaluation and forecast of the industry. The final results show that in the context of the new era of 5G, the microwave dielectric ceramics industry has entered a brand new stage of development and it presents a huge potential for innovation and development.
Experimental study on fatigue performance of bushing repair with different fasteners
Authors: Tao Siwei , Zou Jiansheng 
Published: April 2021

Abstract
Based on the fatigue theory, the main influencing parameters of bushing repair are qualitatively analyzed. The specimen-level fatigue test is carried out to quantitatively analyze the changes in the fatigue quality of metal structures connected by different fasteners before and after the bushing repair. The result suggests that: The DFR of the high-lock bolt connection after bushing repair is basically the same as the engineering calculation result, and the DFR of rivet connection after bushing repair is steadily lower than the engineering calculation result; Under a certain bushing interference, as the outer diameter of the bushing increases, the fatigue quality of the bushing repair structure of the high-lock bolt connection and the rivet connection shows a tendency to decrease and then increase. The experimental research provides reference for the application of civil aircraft bushing repair technology.
Mechanism of Hydrogen Content on the Selective Oxidation of 1.49 Si-1.55 Mn High Strength QP Steel
Authors: Zhou Dayuan , Mi Zhenli 
Published: April 2021

Abstract
The galvanizing experiment of QP steel was carried out in two different concentrations of hydrogen content (5% and 15%) with the aim of revealing the mechanism of different hydrogen content on the selective oxidation of high strength QP steel. The morphology of oxide and inhibitory layer on the surface of steel plate was observed by SEM, and the distribution of alloying elements on the surface and coating was characterized by GDOES. The results show that higher hydrogen content makes the environment more reductive, changing the iron oxide on the surface into active iron that can react with liquid zinc. As a result, the enrichment of Si and Mn on the surface is generally reduced, the compactness of the inhibition layer is reduced, the exposed area of the steel plate surface becomes larger, and the amount of leakage decreases.
Experimental Research on Wind-Cooling Quenching of 20Mn2CrSi Steel
Authors: Fan Z.Y. , Li X.J. , Liang X. , Luo P. , Lin X.Y. , An W.C. , Sun L.Z. , Shi Y.Z. , Yang T. , Chen R.Z. 
Published: April 2021

Abstract
Compared to aluminum alloy wheels, steel wheels have been widely used in the automobile industry due to the low cost and high plasticity and toughness. In this report, wind-cooling quenching of the wheels made of 20Mn2CrSi steel is studied. The CCT curves of 20Mn2CrSi are firstly drawn based on the thermal expansion experiment. Then the samples with different thicknesses (4mm, 6mm, 11mm) are tested under air cooling and wind cooling conditions to find out their optimum transfer time of quenching, and the cooling rates of the surfaces and internal of the sample under wind-cooling condition. The Vickers hardness of the samples after wind-cooling quenching are also measured by a Vickers hardness meter. The results show that the cooling rate is slow when the air volume during cooling is 900m3/h, making the hardness of the samples fail to meet the use standard. Therefore, in order to improve the cooling rate and reduce the thermal stress and structural stress during quenching, water atomization quenching method is proposed, which can provide a certain reference value for the quenching process of 20Mn2CrSi steel wheels.
Dielectric properties of Ni and Nb doped CaCu3Ti4O12 ceramics
Authors: Yu Yunfei , Wang Qun , Khan Waheed Qamar 
Published: April 2021

Abstract
CaCu2.8Nb0.2Ti4-xNixO12 (x=0.1, 0.2, 0.3) and CaCu3Ti4O12 ceramics were successfully fabricated through the solid-state reaction method. All the samples were methodically examined by X-ray diffraction (XRD), scanning electron microscopy (SEM), impedance and dielectric properties measurements. XRD analyses verified the constitution of a cubic perovskite structure with Im-3 space group. The average grain size of CaCu3Ti4O12 ceramics reduced with Ni and Nb ions doping, especially decreased significantly with the increase of Ni content. Compared with un-doped CaCu3Ti4O12, Ni and Nb ions doped CaCu3Ti4O12 ceramics presented greatly enhanced dielectric constant range from 102 Hz to 106 Hz, illustrating the Ni and Nb ions have great influence on improving the dielectric constant. The CaCu2.8Nb0.2Ti3.8Ni0.2O12 sample achieves the highest dielectric constant, possesses the lowest dielectric loss and acquires the largest grain boundary resistance in the doped samples. Therefore, it has optimal dielectric performance.
Aging of polyethylene thermoplastic liner exposed to sulfuric acid corrosive environments
Authors: Liu Chongyang , Tang Chenhuai , Wang Shenghui 
Published: April 2021

Abstract
Thermoplastics have been widely used as liners of pressure vessels and pressure pipes to improve corrosive resistance in recent years. During long-term use under complex circumstances of corrosive medium, high temperature and existence of oxygen, gradual aging of thermoplastic was often observed. However, the aging mechanism of thermoplastic under such complex condition is rarely reported. In this study, various methods such as dynamic mechanical analysis (DMA), differential scanning calorimetry (DSC), fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA) and tensile tests were performed to examine the aging mechanism of polyethylene (PE) liner used for different times under various temperatures and concentrations of acid. The results reveal that aging of liner material resulted from swelling due to exposure to acid in low concentrations during long-term use, which will result in surface damage, even leakage of acid and decrease in PE strength. Recrystallization under concentrations higher than 50% is observed, it is accompanied by increase in melting point (Tm), decomposition temperature, tensile strength and change of transparency. With further increase in acid concentration, change of molecular structure was observed in FTIR spectrums, which might be the result of oxidation, dehydrogenation and chain breaking induced by high concentration of acid.
Resonant photonic states of quasi one-dimensional photonic quantum well in a rectangular waveguide
Authors: Ai Yan , Jao Ruei-Fu , Lin Ming-Chieh 
Published: April 2021

Abstract
We have demonstrated a calculation of the resonant photonic states of quasi one dimensional photonic quantum well for the transverse electric (TE) and transverse magnetic (TM) modes in a rectangular waveguide. The photonic crystal heterostuctures are composed of two different photonic crystals as (AB)m(CD)n(AB)m
. In order to solve the resonant photonic states, it is necessary to calculate the transmission functions of TE modes and TM modes. In this work, we consider the propagation of microwaves in photonic crystal heterostructures in our simulation model. The positions and number of the resonant photonic states can be adjusted by the widths of photonic quantum wells. The degenerate resonant photonic states are not existed for both the TE and TM modes, respectively. These results are useful applications in photonic quantum devices and nano technologies.