bluuebunny/crossref_metadata_2025_split huggingface dataset:
The optimal allocation of dispatchable resources considering the flexibility of microgrid
Authors: Wang Jinfeng , Zhu Fangyuan 
Published: November 2020

Abstract
In order to improve the ability of the microgrid to deal with uncertain interference and flexibly adapt to the frequent variability and strong uncertainty of renewable energy that is connected in high proportion, a method increasing the flexibility of the microgrid is proposed through the capacity configuration of power units of multiple types as well as the participation and response of demand side. From the point of view of supply and demand balance, the flexibility of microgrid is analyzed quantitatively. The particle swarm optimization algorithm is used to optimize the capacity configuration of the system, and the optimal dispatching model with the lowest operating cost and the maximum flexibility margin of the system is established with the capacity of multiple types of units and load response capacity as decision variables. The example analysis shows that this method can greatly improve the overall flexibility of the microgrid while ensuring that the system investment and operating costs are relatively small.
The effect of ultrasonic vibration on the springback of incremental sheet forming
Authors: Wang Rongtao , Cheng Wei , Sun Yujing , Ge Hailong , Xu Wenqiu , Wang Jun 
Published: November 2020

Abstract
In this study, aiming at the springback problem, ultrasonic vibration was applied to incremental sheet forming to assist the sheet forming. The springback distribution of ultrasonic vibration and no ultrasonic vibration was compared. The influence of the application of ultrasonic vibration on the springback of the sheet mental formed was analyzed; and also by adjusting the power of the ultrasonic generator to adjust the amplitude of the ultrasonic vibration, the effect of the ultrasonic amplitude on the springback is studied. Experimental data shows that the effect of ultrasonic vibration on each forming stage is different during the forming process. Therefore, it is necessary to select the best amplitude to assist the sheet forming process to achieve the effect of restraining springback.
Comprehensive Compensation Strategy on the Power Quality of Micro-grid Integration Based on the Multifunctional Energy Storage Converter
Authors: Yu Guokang , Yu Jing , Guan Honghao , Ren Juan , Wang Genggeng , Meng Gaojun 
Published: November 2020

Abstract
In order to improve the utilization rate of the energy storage system as well as the power quality of micro-grid and grid under parallel operations, this paper proposed an integrated compensation strategy of power quality based on the composite controlling principle of frequency division and hysteresis loops. On the premise of not changing the operation state of the power conversion system (PCS), combined with the current generation principle of multi-objective compensation, use the residual capacity of PCS to compensate harmonic, reactive and unbalanced currents quickly, accurately and selectively, so as to realize the current control on the compensation component of the grid-connected current under the disturbance of the distorted voltage. At the same time, aiming at the dwarf-signal dynamic models of the converter, use the designed output current control loop based on H
∞ resonance control theories to provide the tuning basis of the controller parameters, and thus the anti-disturbance ability of the system is improved, and the sudden change of the frequency is reduced. Finally, construct a micro-grid system with energy storage devices, and carry out experiments on the proposed control strategies. The results show that it has well governance abilities on the power quality.
Simulation of a single-phase arc grounding fault on a 220-kV cable transmission system
Authors: Gong Qiming , Liu Surong , Zheng Jiankang , Su Xiaoting , Li Shaobin 
Published: November 2020

Abstract
Cable tunnel fires are mainly caused by single-phase arc grounding faults. The massive energy generated by arc can threaten the safety of the densely laid cable tunnels. In this study, a digital arc fault model with a 220-kV cable transmission system was established on Power Systems Computer Aided Design(PSCAD). The arc model was improved because the parameters were acquired from the experimental results. The arc fault can be divided into two stages: a primary arc at the initiation of the fault and a secondary arc after the tripping of the circuit breakers. The primary arc contains few nonlinear components because of the large arc currents. The secondary arc voltages exhibit nonlinear characteristics because of arc elongation. The secondary arc power continues to increase, however, its amplitude is considerably smaller than the primary arc. The lifetime of the primary arc is dependent on the action of the relaying protection system. Further, some limits based on the energy balance theory were introduced to obtain the extinction time of the secondary arc. In addition, the total energy generated by the arc fault in the 220-kV cable transmission system will eventually become 4891 kJ. This digital arc fault model will significantly contribute to future research with respect to the mechanism of cable tunnel fires.
Research on Temperature Control Technology of Thermal Protection Device for The Low Temperature Wind Tunne Equipment
Authors: ZeYuan Liu , Qiang Luo , ZheYang Ge , Jing Wang , QingHua Gao 
Published: November 2020

Abstract
One of the important technologies to improve the Reynolds number is to reduce the temperature of the air flow inside the wind tunnel. The air flow working temperature can reach 77K at least. At this time, it is necessary to carry out thermal protection for the internal equipment of the wind tunnel. In view of the complex layout and various characteristics of the equipment in the wind tunnel, this paper takes the thermal protection and temperature control strategy of the equipment in the wind tunnel as the research object, and designs the temperature control strategy of the typical equipment from the perspectives of heating element selection, temperature control logic, temperature control algorithm and heating mode. A physical test platform was designed and built. The feasibility of temperature control strategy was verified by the physical test platform under two typical temperature conditions of normal temperature and low temperature. The test results show that the comprehensive design of the temperature control strategy can meet the temperature control requirements of different shapes, heat capacities and heat leakage conditions, and the temperature control accuracy is better than 1 °C, which can meet the design requirements and effectively ensure the normal operation of the equipment in the wind tunnel.
Research on transformer drying technology based on low-frequency heating principle
Authors: Liu Qiang , Lv Liang , Zuo HaoMing , Wang Sen , Mao Chen , Zhang Yuanjie 
Published: November 2020

Abstract
In the process of current transformer field insulation treatment, temperature becomes the key factor to limit the treatment effect, leading to the low heating efficiency and poor effect when installing new transformers in winter. Restricted by the power of hot oil circulating heating method in the current field operation, it is difficult to improve the actual heating effect simply by increasing the power of oil filter. Based on the principle of low-frequency short circuit heating of transformer winding, a low-frequency heating device of high-power transformer winding is developed, which can be used for the insulation heating and drying treatment of large power transformers. With the method of inputting 0.2∼1Hz ac power supply on the high voltage side of the transformer and short-circuit on the low voltage side, the inductive reactance of the transformer winding is reduced, the working voltage in the short-circuit heating process is reduced, and the required power capacity is reduced, so that the device is simple, small in size and light in weight. It is proved by many field heating tests that the drying method can achieve the desired effect and greatly shorten the working cycle.
Design of transmitting and receiving circuit of ultrasonic transducer based on STM32
Authors: Kong Xiaohe , Li Xisheng , Zhou Ruochen 
Published: November 2020

Abstract
In order to meet the needs of ultrasonic in industrial detection, an ultrasonic transmitter and receiver circuit based on STM32 is designed. The transmitting circuit is controlled by the optocoupler control isolation circuit and the MOSFET drive circuit to generate high-voltage excitation pulses to drive the ultrasonic transducer; the receiving circuit which achieves Processing of ultrasonic echo signals includes a limiter circuit, a preamplifier circuit, a Butterworth band-pass filter circuit and an automatic gain circuit, etc The actual test shows that the ultrasonic excitation signal generated by the system has the characteristics of low noise and steep waveform. The processed echo signal is clear, the system performance is good and the structure is simple, stable and reliable.
Development of a three-dimensional virtual monitoring system for a workshop
Authors: Li Jiang , Gao Kunshan , Yu Cungui , Zhou Cheng 
Published: November 2020

Abstract
Aiming at the problems of poor applicability and development efficiency of the current manufacturing workshop monitoring system, a workshop monitoring system using the industrial Internet of Things platform as the system service platform is proposed. This article takes a seal automated production line as an example to illustrate the development process of a workshop monitoring system, including virtual scene construction, data acquisition and real-time model driving based on the industrial Internet of Things platform. The results show that the 3D virtual monitoring system has good real-time performance and realizes multi-level and visual monitoring. It has certain reference value for the development of the workshop 3D virtual monitoring system.
Fast screening of capacity and internal resistance for cascade utilization of the retired power lithium-ion batteries
Authors: Liu Weiwei , Li Honglei , Deng Yelin , Yang Fan , Cong Liang 
Published: November 2020

Abstract
The residual capacity and internal resistance of lithium-ion batteries are important indicators for evaluating the retired batteries, and they are also prerequisites for the cascade utilization of retired batteries. Screening of capacity and internal resistance of retired batteries was studied in this paper. In terms of battery residual capacity, the battery charging system is used to obtain the battery charging curves from which IC characteristics are extracted and screened. The relationship between the IC characteristics and the battery capacity is obtained using a neural network algorithm to achieve capacity estimation. In terms of internal resistance, the charge and discharge strategies of batteries connected in series was first studied, and then a screening method for battery internal resistance was designed based on such charge and discharge strategies. The overall results of this paper provided the basis for the selection of retired power batteries.
Numerical Simulation and Design of a Lunar Sample Unsealing and Processing Equipment
Authors: Jin Wang , Zhenlin Wang , Chunjie Yan , Xuesong Wang , Chunyong Wang 
Published: November 2020

Abstract
Lunar Sample Unsealing and Processing Equipment (LSUPE) is an equipment which is used to vacuum unseal the Vacuum Lunar Sample Container (VLSC) and to take pictures, weigh and process lunar samples. LSUPE is mainly composed of four parts, the transfer chamber, operate chamber, unseal chamber and gas purification system. The operate chamber needs to maintain a high-purity nitrogen environment all the times to prevent samples from being polluted by the atmosphere which affects subsequent analysis of the samples. The unseal chamber switches vacuum environment to high-purity nitrogen environment. The high-purity nitrogen environment ensures that the sample is not contaminated after unsealing, and the vacuum environment ensures that the VLSC can be unsealed. In order to ensure that the water and oxygen concentration indexes in the two chambers meet the requirements at all times after the lunar sample is unsealed, this paper gives the LSUPE simulation design process, and establishes a simulation calculation model for the water and oxygen concentration. The calculation results show that the internal water and oxygen concentrations of LSUPE are better than 10ppm in any state, which meets the requirements for storage and processing lunar samples.
Research on Vibration Signal Analysis Method of Transformer Winding Based on Wavelet Packet Transform and LMD Algorithm
Authors: Zhi Yongming , Xia Yongli , Yu Yang , Chen Qian , Zhu Le 
Published: November 2020

Abstract
Power transformer is an important equipment in power system, and its operation status has an important impact on the safe and stable operation of power system. However, most of the existing methods are off-line detection, which can not meet the requirements of engineering practice. Therefore, how to monitor and analyze the operation status of transformer based on the on-line measured vibration signal has become a research hotspot in this field. Therefore, this paper introduces a wavelet packet transform and local mean decomposition (LMD) decomposition method based on EMD. In this method, wavelet packet transform is used to denoise the vibration signal of transformer winding, and then it is adaptively decomposed into a series of product function (PF) components by LMD, so as to reveal the signal characteristics and realize on-line monitoring and analysis of transformer winding. Finally, the feasibility and effectiveness of the analysis method in this paper is verified by combining theory with simulation.
Comparative study on image processing algorithms in laser cladding process
Authors: Liu Shuntian 
Published: November 2020

Abstract
Three image processing methods including threshold processing, morphology processing and smoothing processing were introduced, and three image processing methods were analyzed in combination with cases. In order to adopt the appropriate image processing algorithm to the molten pool image processing. Among them, image threshold segmentation can turn gray image binary into black and white image, morphological processing can extract meaningful image components from the image to express and depict the shape of the region, and smoothing processing can be used to reduce the noise or distortion on the image.
An improved sine cosine algorithm with multiple updating ways for individuals
Authors: Gao Zheng-Ming , Zhao Juan , Li Xu-Ruo , Hu Yu-Rong 
Published: November 2020

Abstract
The sine cosine (SC) algorithm was very popular for scientists and engineers since it was raised in 2016, it was an efficient, simple algorithm that could be applied in real problems. In this paper, an improved version of the SC algorithm with multiple updating ways for individuals in swarms during iterations was proposed. Inspired by the slime mould (SM) algorithm, the algorithm was re-constructed and consequently, the individuals would update their positions in three ways, parts of them would be reinitialized, parts of them following the same traditional ways, and parts of them would explore further according to their own historical trajectories. Simulation experiments were carried out and the averaged results proved that the improved version would perform better, faster, and steadier than the original one.
The artistic style transfer from Shanghai modern landmark buildings images to Xiao Jiaochang New Year pictures based on deep learning
Authors: Chen Hongyi , Luo Yeyun 
Published: November 2020

Abstract
Posting New Year pictures is a folk custom with a long history in China. Shanghai New Year pictures are loved by the people with its unique Shanghai style. As a representative of Shanghai New Year pictures, Xiao Jiaochang New Year pictures have left a strong mark in the history of Shanghai style culture and history through its diverse and comprehensive categories and rich artistic styles. However, due to its short well-developed period, the New Year pictures in Xiao Jiaochang have no inheritance and cannot apply for intangible cultural heritage. Nowadays, it is not realistic for us to use the traditional way to make New Year pictures in small schools because of the lack of inheritors and the production techniques have not been continued. Therefore, this paper mainly focuses on tracing back to this period of history, and realize the recording and dissemination of the style of the New Year pictures of Xiao Jiaochang through modern high-tech. Collect the relatively complete New Year pictures of Xiao Jiaochang in the world as a data set, and realize the style transfer to modern Shanghai’s landmark buildings’ pictures through the method of machine learning. Realizing the electronic work on spreading the culture in addition to the normal electronic record needs to be in time, so that Xiao Jiaochang New Year pictures can reappear in the world.
Few-shot Thangka image classification based on improved DenseNet
Authors: He Guoyuan , Xue Panpan , Meng Jiahao 
Published: November 2020

Abstract
Thangka is an important part of Tibetan culture, and the classification of Thangka image is one of the basic works of Thangka research. DenseNet(Densely connected convolutional networks) has achieved a very good effect in the field of image classification. Considering that the DenseNet adopts ReLU function which loses the negative feature of the image in the feature propagation process, this paper proposed an improved DenseNet, called L-DenseNet that Leaky ReLU replaces ReLU function to increase the negative feature of propagation. In order to solve the problem of insufficient Thangka image sample, we adopted the method of based fine-tuned network. Experimental results show that L-DenseNet obtains an outstanding performance, which improves 1.1% performance compared with DenseNet. Compared with other CNNs, such as VGG16, ResNet50 and InceptionV3, L-DenseNet obtains state-of-the-art performance in the classification of Thangka image.
Mask wearing detection based on YOLOv3
Authors: Ren Xiaokang , Liu Xingxing 
Published: November 2020

AbstractThe CoVID-19 is still raging around the world, and the work of relying on manpower to detect masks in public places is time-consuming and laborious. To solve this problem, this paper proposes an improved Face_mask Net detection method for convolutional neural network based on YOLOv3. First, a new convolutional neural network Face_mask Net is designed based on YOLOv3 network structure. Second, before training, Face_mask Net uses the K-Means algorithm to cluster the labeled dataset and change its anchor value. Finally, the Face_mask Net loss function uses DIoU and the classifier uses DIoU-NMS. The combination of the two can further improve the detection accuracy of the target. To verify the effectiveness of the proposed algorithm, the Face_mask Dataset for mask detection was collected and annotated in this paper. The experimental results show that Face_mask Net can effectively detect the target of wearing mask and not wearing mask, and its performance can be close to real-time and the accuracy is higher than that of the network before the improvement.
Research of chromatic spectral peak location on confocal point sensors
Authors: Yanlei Li , Qingzeng Ma , guo Nan , Leiguang Nan , Wei Cheng 
Published: November 2020

Abstract
Chromatic confocal point sensors are used to measure the high-precision surface distance, and it’s based on the theory of chromatic dispersion and encodes the distance between the measure surface and chromatic lens. By accurately measuring the wavelength value, it indirectly calculates the distance to object surface. The accuracy of the sensor depends on the chromatic range of the lens and the resolution of the spectrograph. In this paper, the algorithm of spectral peak positioning can effectively filter kinds of noise, such as spectrometer and light source. The spectral data signal peak is extracted by Gaussian fitting method. In practice, the wavelength position can be stably detected effectively.
Design and Implementation of Network Information Service Platform Based on Microservice Architecture
Authors: Lian Jin , Gao Ming 
Published: November 2020

Abstract
In this paper, based on the development of network information microservice platform, and according to the business characteristics of the platform, the overall architecture model of the microservice platform was designed. Besides, the system is hierarchically managed by basic equipment area, standard area, hub area, and application service area. Hence, the problems of independent deployment, data transmission sharing, service monitoring, and authority management of the microservice system are solved. Moreover, the system development process, the development efficiency, and the system reliability are also improved. The project which is supplemented by a sound management mechanism implements the framework of service platform based on Spring Cloud technology, establishes the business container of microservice, analyzes the value of the system, and then forms a sustainable optimization system.
An improved grey wolf optimization algorithm with multiple tunnels for updating
Authors: Zhao Juan , Gao Zheng-Ming 
Published: November 2020

Abstract
The grey wolf optimization (GWO) algorithm was proposed in 2014 and after several years of applications, it was used worldwide and all over the subjects which involved computation. Various improvements have been raised to increase the capability of optimization. Based on the best performance of the slimd mould (SM) algorithm in optimization, a hybridization of the SM and GWO algorithms was proposed about the updating equations, and the GWO algorithm with multiple tunnels for individuals to update their positions during iterations was revised. Simulation experiments were carried out and comparisons were made between the GWO algorithm with variable weights and our proposed new one. Better performance were confirmed and reported as conclusions.
Research on Target Tracking Algorithm Based on context Multi-feature Fusion
Authors: Zhao Yurong , Ling Yao , Xia Peng , Xu Qianqian 
Published: November 2020

Abstract
In traditional target tracking algorithms, cosine window is often used to suppress the boundary effect and expand the search range when the target is located, which will reduce the available background information. Besides, when a single feature is used, the representation of the target appearance is not strong. When the challenge factors such as background clutter and occlusion occur to the target, the target will drift, which will reduce the accuracy of target tracking and even lead to tracking failure. To solve this problem, this paper proposes a context-based target tracking algorithm that fuses multiple features, using directional gradient histogram features and color name features as input features. To solve the occlusion problem, the occlusion mechanism of average peak correlation energy and maximum response fraction value is designed to judge the updating of the model. When both values are higher than a certain historical mean, the model is updated; Otherwise, stop updating. Finally, experiments show that the tracking algorithm proposed in this paper is more robust than some traditional correlation filtering algorithms.