bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental study on axially compressed square RC stub columns strengthened with prestressed CFRP strips
Authors: Wu Shengping , Han Bin , Wu Zhaoqi , Li Hua , Liu Han 
Published: April 2020

Abstract
Five square reinforced concrete (RC) stub columns were fabricated and experimental tested under an axial compression load in order to study the effectiveness of strengthening by using prestressed carbon fiber reinforced polymer (CFRP) strips. The specimens tested included one un-strengthened and four strengthened. Three specimens were strengthened by using prestressed strips, and the other one strengthened by using non-prestressed was used to compare. The prestress of the strip was achieved by tensed using a special device before it was pasted to the column. The experimental data such as the failure modes, load-displacement curves and strain distribution of CFRP strips were obtained. The effects of prestress magnitude of CFRP strips on the ultimate bearing capacity and deformation capacity of the specimens were analyzed. The results show that the prestress of CFRP strips can effectively increase the ultimate capacity and delay the crack occurrence of the specimens. And ultimate strain, plastic deformation of the specimens were also improved with increase of prestress magnitude of strip.
Resource Scarcity-Based Pricing for Cloud Manufacturing Service Platform
Authors: Wang Pan , Wen Peihan 
Published: April 2020

Abstract
Based on the architecture and key technologies of cloud manufacturing (CMfg) are becoming increasingly perfect, It is of great significance for the development and application of CMfg to study the resource pricing under the specific transaction environment of cloud manufacturing service platform (CMSP). Hence, an optimal pricing strategy model adapted to the CMSP environment was proposed in this paper. Firstly, the transaction process of CMSP is analyzed, then the static Bayesian model is selected and improved from three aspects. Finally, through the solution of the model and parameter analysis, the advantages of the model are proved, and the pricing strategy is provided for the platform resource providers.
Influence of Light and Temperature on Secondary Metabolites Production by Monascus Ruber in Rice Solid Cultures
Authors: Pang Hai-Yue , Lee Yu-Chieh , Wang Guey-Horng , Liaw Li-Ling , Chen Fang Fang , Chen Yu-Pei 
Published: April 2020

Abstract

Monascus species have been used in Chinese fermented foods such as Anka pork, and rice wine because of its bioactive substances including pigment, and monacolin K. In this study, the effect of light and temperature on red pigment, total polyphenols, DPPH radical scavenging, reducing ability and monacolin K of Monascus ruber BCRC31535 in rice solid culture was conducted. No obvious difference was observed by the DPPH radical scavenging assay whatever the cultural condition of light and temperature was performed. However, the results revealed that the red pigment, total polyphenols, reducing ability and monacolin K were the highest in the darkness at 30°C. Blue light and red light remarkably declined these secondary metabolites and antioxidant capacity, probably resulting from the induction of oxidative stress. By contrast, blue light can stimulate the production of red pigment and monacolin K at 20°C while red light can improve the reducing ability. Nevertheless, total polyphenols were not affected by light at the low temperature. Taking together, the temperature was also the interference factor in the solid-state culture of M. ruber BCRC31535, which influenced the light on the yield of secondary metabolites.
Effect of Electron Beam Irradiation on Chlorinated Polyethylene/Vinyl Acetate/Nitrile Rubber Blend System
Authors: Li Zhigang , Zhang Yubao , Zhao Hongtao 
Published: April 2020

Abstract
The blends of chlorinated polyethylene (CPE), ethylene-vinyl acetate copolymer (EVA) and nitrile rubber (NBR) were mixed and irradiated by electron beam. The effects of chlorinated polyethylene and electron irradiation on the structure and properties of blends were studied. The mechanical properties, crosslinking degree, crystallization properties, structure and morphology of EVA/NBR/CPE composites were characterized. The results showed that the addition of 25phr CPE had a significant effect on the capacity increase of EVA/NBR blend system, and the mechanical properties of the composites increased first and then decreased, the degree of crosslinking and the glass transition temperature increased while the crystallization temperature and enthalpy decreased. Electron beam irradiation induced hydrogen extraction reaction, formed a cross-linking structure, enhanced the phase interface bonding, and produced a synergistic effect with CPE volume-increasing EVA/NBR blend system.
Design and Research of Intelligent Operation and Maintenance System for Wisdom Verification Detection Pipeline
Authors: He Yuhan , Jing Zhen , Yang Yan , Sun Yanling , Zhai Xiaohui , Xing Yu , Xing Baoshan , Guo Liying , Gao Qun , Shi Chunyan , Zou Lu , Song Jiale 
Published: April 2020

Abstract
Since the pipeline inspection platform equipment bears the main work of the full performance test of the energy meter and the collection terminal, the quality requirements for the metering automation verification pipeline equipment are getting higher and higher, and the reliability also puts forward higher requirements. Design and develop a power meter and acquisition terminal fully compatible with the smart verification detection pipeline system, through the wireless data transmission and computer network technology to automatically detect the temperature rise in the automated pipeline equipment. The intelligent operation and maintenance system uses computer network technology and modern management ideas to combine organic sensors, technology, wireless data transmission technology, data processing technology, and monitoring of abnormal operation of automated pipeline equipment.
Computer-Assisted Bone Fractures Detection Based on Depth Feature
Authors: Yang Feng , Wei Guohui , Cao Hui , Xing Mengmeng , Liu Shuxuan , Liu Jing 
Published: April 2020

Abstract
Nowadays, computer aided diagnosis (CAD) system become popular because it improves the diagnostic efficiency of the disease compared to the early diagnosis of the various diseases for the doctors and the medical expert specialists. Similarly, bone fractures is a common problem due to pressure, accident and osteoporosis. Bone fractures detection using computer vision is getting more and more important in CAD system because it can help to reduce workload of the doctor by screening out the easy case. The purpose of this work was to detect whether fractures occurred in seven different parts of the human body in the MURA database. The process of a bone fractures detection is mainly divided into three steps, which includes preprocessing, feature extraction and classification. In preprocessing, the 40561 sizes of images in the MURA data set were reshaped to same size and the grayscale images were changed to the RGB images. The convolutional neural network (CNN) was then used to extract the depth features of the bone images. Finally, three classic classifiers were selected, such as support vector machine (SVM), extreme learning machine (ELM) and random forest (RF) to detect bone cracks or non-cracks. Then compare it with the Alexnet model and the classification results of the Wu Enda team. The result shows that the classification of SVM based depth features is the best and the accuracy can reach 78.63%. The experimental result indicates that the depth features of the extracted bone images provide a new feature representation method for the prediction of bone fracturess, which greatly improves the accuracy of clinical diagnosis of bone fracturess.
Study on Method for Chemical Reaction Activation Energy Acquiring of Dry Insulation Equipment Based on TGA
Authors: Zhang Xin , Zhang Xinjie , Ma Hao , Wang En , Wang Wei , Ma Xiaoguang , Dun Chao 
Published: April 2020

Abstract
Thermogravimetric analysis is an important method in chemical reaction kinetic analysis. This paper introduces thermogravimetric analysis into the field of insulation performance analysis of dry insulation equipment, and introduces the thermogravimetric analysis experimental methods of epoxy resin materials. On this basis, the calculation principle of the activation energy of the chemical reaction is analysed, and two calculation methods for the activation energy of dry insulation equipment are proposed.
Adsorb-Catalytic Removal of PH3 and H2S in Yellow Phosphorus Off-Gas by Metallic Modified Activated Carbon
Authors: Li Rui , Wang Botao , Yao Mei , Wang Fang , Liu Tiancheng , Liu Chenhui , Gao Jiyun , Ning Ping , Jia Lijuan 
Published: April 2020

Abstract
Activated carbon modified with Cu2+ and Co2+ was used to remove PH3 and H2S from yellow phosphorus off-gas. An orthogonal experiment was carried out to identify the superiority order of influencing factors and the optimal experimental parameters. For PH3, the superiority order was temperature > oxygen content > parch temperature > impregnant concentration (Cu2+) > flow rate > diameter, whereas, for H2S, it was reaction temperature > oxygen content > impregnant concentration > parch temperature > diameter > flow rate. Following were the optimal experimental parameters for both PH3 and H2S: reaction temperature, 95°C; impregnant concentration (Cu2+), 0.25 mol/L; diameter of metallic modified activated carbon (MMAC), 3.5 mm; oxygen content, 1%; parch temperature, 300°C; and flow rate, 0.4 L/min. Regeneration of MMAC was effective for PH3 but not compelling for H2S. The activation energy and reaction orders were calculated, and the transmission process was evaluated to assess the characteristics of the dynamics of the adsorb-catalytic reaction. The reaction orders were -0.8 and -0.76 for PH3 and H2S and the average activation energies were 1247.6 and 134.4 J/mol for PH3 and H2S, respectively. The adsorb-catalytic reaction was fast, and decreasing transmission resistance can play a key role in improving the performance of MMAC.
Steering Control of Dual Electric Drive Tracked Vehicle Based on Model Predictive Control
Authors: Zhang Jie , Ma Xiaojun , Yuan Dong , Zhang Peng 
Published: April 2020

Abstract
A model predictive control (MPC) algorithm is designed to solve problem in the steering control of dual electric drive tracked vehicle. Firstly, the driver manipulated model is constructed after analyzing tracked vehicle dynamics. Based on which, the predictive control of vehicle speed and yaw rate is achieved by establishing predictive model, rolling optimization, and correcting feedback. Finally, co-simulation model of vehicle multi-body dynamics and steering control is constructed to simulate the steering conditions of variable speed and variable radius. The simulation results show that the MPC algorithm can quickly and accurately track the target speed and yaw rate, and the output motor torque is smooth. Which can realize the stable steering of vehicles under various working conditions.
Research on de-noising operation to the vibration signals based on discrete wavelet transform with hard threshold
Authors: Mi Wenpeng , Xu Weichang , Jiang Cunqun , Zhu Guifang , Wang Hongguang , Liu Pengpeng , Kong Xiangtong 
Published: April 2020

Abstract
Dynamical properties of mechanical systems can be obtained with the vibration signals from the systems. However, for the influence of noises, it is difficult to accurately acquire the features. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, discrete wavelet transform (DWT) with hard threshold is used to remove noises from vibration signal. We provide the principle of DWT at first. And then, a sample signal is constructed with white noise is processed by the technique. As the result shown, the random noise can be effectively eliminated. This reflects that the de-noising method based on DWT the hard threshold is effective.
Simulation Evolution Method for system of systems confrontation
Authors: Chu Yang , Li Jun , Zhou Yufang 
Published: April 2020

Abstract
System of systems confrontation is the main form of modern warfare. In order to meet different modeling and simulation needs, a large number of evolution ideas of system of systems simulation have emerged. This paper gives two different definitions of evolution ways of system of systems simulation through induction and summary, and makes a comparative analysis from the perspective of evolution mechanism and application scope. Taking atypical parallel simulation system as an example, it gives different evolution ideas Design of simulation application framework under mechanism.
Wave height prediction of Beibu Gulf based on convolution neural network
Authors: Mo Xutao , Li Zili 
Published: April 2020

Abstract
The wave state plays a vital role in the planning of marine activities. Predicting the wave significant height can prepare for the abnormal sea state in advance, which is of crucial influence to the marine activities. Unlike other scholars in the field of ocean research, this paper starting with analyzing artificial neural network model. By using the convolution neural network to model the measured wave height historical data, and to predict the ocean wave situation in the next six hours based on the measured data of wave height in the Beibu Gulf sea area. Using MAE, RMSE, PCC and etc. error evaluation methods, analyse the influence of convolution neural network on wave height prediction results in different layers is discussed and analyzed under different historical data input conditions. Finally, the network model is trained with the measured data in November and December 2018, and the results are analysed and compared.
Analysis and Research on Visualization Display Model of Power Network Planning Based on Big Data Analysis
Authors: Ma Guozhen , Pang Ning , Hu Bo , Zhang Zeya 
Published: April 2020

Abstract
With the development of information technology, the information process of power companies is accelerating. Power big data is the product of this information, and its related technologies play an increasingly important role. According to the power big data and related technologies, the visual display technology of power grid planning is also gradually developed. The application of power big data in power grid planning management is analysed and analysed. At the same time, the opportunities and challenges faced by power big data in the development process are analysed. Research provides ideas.
Application and Research of Machine Learning Simulation Technology in Equipment Fault Monitoring under Smart Grid
Authors: Yang Qijiu 
Published: April 2020

Abstract
Smart grid is increasingly becoming the development trend of grid technology. Smart grid is an important part of smart grid. Power equipment is the core part of smart grid, and the normal or not of power equipment directly affects the safety and stability of the entire power system. Smart smart grid usually has relatively complete fault diagnosis and self-healing functions to improve the stability and reliability of the grid. The application and development of a practical fault monitoring and early warning system for power equipment is to carry out predictive maintenance of power equipment so that the equipment can operate more safely and reliably. Due to the time-varying nonlinearity, stochastic uncertainty and local observability of smart grid, it is difficult for traditional power system modeling and analysis methods to fully reflect the steady- state and transient characteristics of power system in the new form. In this paper, based on machine learning simulation technology, through the research of power equipment fault monitoring system in smart grid, provide early warning information and solutions for equipment management personnel maintenance.
Research on salt spray test of power facilities based on standardized laboratory construction
Authors: Qian Xiying , Jin Kunpeng , Lu Shenjie , Lv Longjin 
Published: April 2020

Abstract
With the continuous development of electric power systems, electric power companies have standardized the requirements for safety testing laboratories for salt spray test of electric power facilities in accordance with relevant national standards and specifications, and combined with the previous work experience of electric power companies, this paper analyses in detail the laboratory-based The characteristics and significance of standardized management of salt spray test of electric power facilities under standardized construction, and also elaborated the new requirements for laboratory construction. At the same time, it strengthened training, performed competence verification and comparison between laboratories, and strict In the aspects of good method confirmation, enhanced management, and enhanced standard dynamic management, relevant suggestions for strengthening the standardized management of safety testing laboratories in power facilities for salt spray testing were put forward. It is hoped that the test results of power facilities salt spray testing laboratories can be effectively improved. And accuracy to achieve sustainable development.
A Fault Analysis of 750kV Shunt Reactor and Repair Program
Authors: Bao Yanyan , Liu Kang , Yang Junting , Zhang Guangdong , Wen Dinjun , Wang Kun 
Published: April 2020

Abstract
Combined with an example of 750kV shunt reactor exception handling, the author used field test inspections and search methods to dismantle the plant and found that the cause of the reactor abnormality was an incident caused by impurities or foreign matter. Combining the historical operation data of the equipment, the analysis and comparison of the reactor’s routine inspections and test results are performed. Combined with the simulation calculation of the internal insulation margin of the reactor, the judgment methods and conclusions are given, and the troubleshooting method and flow of the reactor abnormality are proposed, and put forward specific measures to strengthen the state monitoring of the network operation reactor.
Research on GIS partial discharge light measuring method based on Fluorescent fiber sensing system
Authors: Yang Junting , Zhang Guangdong , Bao Yanyan , Zhang Hang , Liu Kang , Wen Dinjun 
Published: April 2020

Abstract
In order to accurately detect the partial discharge information inside GIS, this paper proposes a PD measurement method based on fluorescent fiber sensing system. Firstly, the typical physical model reflecting four typical insulation defects in GIS is perfected. The PD optical signal is obtained through the detection system, and the corresponding 3D map and its gray image are constructed. At the same time, for the simple fractal is not enough to accurately describe the characteristics of PD discharge mode, a multi-fractal spectrum algorithm for partial discharge gray image is proposed. Then, based on the extraction of each feature information in the multifractal spectrum, BP neural network based on improved conjugate gradient algorithm is selected as the classifier for feature recognition. The results show that the multifractal spectrum can effectively describe the degree of PD gray image inhomogeneity and its different levels of geometric structure, and can accurately identify the PD phenomenon caused by four typical insulation defects.
Research on quantitative method of GIS partial discharge
Authors: Yang Junting , Yang Peipei , Zhang Guangdong , Bao Yanyan , Zhang Hang , Ma Zhenqi , Wen Dinjun 
Published: April 2020

Abstract
Optical method is a commonly used method for detecting partial discharge in electrical equipment. How to use photometric quantitative detection is one of the most urgent problems to be solved. Based on the in-depth analysis of the physical meaning of the integral value of the PD optical signal, it is concluded that the linear integral value of the signal is linear with the apparent discharge. The experimental results show that the integral value of the PD photometric signal at different polarities and different distances is linear with the apparent discharge. The larger the gap distance between the needle and the plate electrode is, the larger the slope is. The linear relationship between the average primary integrated value of the PD photometric signal and the average apparent discharge is different. With the increase of the applied voltage, the PD discharge intensity and the pulse repetition rate increase, and the phase interval of the PD becomes wider. The actual air gap volume of the PD becomes larger, and the variation interval becomes wider, that is, the apparent discharge amount distribution interval becomes wider, and the maximum value and the minimum value of the distribution interval become larger. Therefore, it is possible to obtain the PD apparent discharge amount by using the photometric signal, and it is effective and feasible to quantitatively detect the internal PD of the GIS by optical method.
Cooling dehumidification characteristics of two cooling systems applied in natural light plant factory in the rainy summer
Authors: Zhang Zhonghua , Zhong Yuqi , Meng Xiangzhen , Shi Xiaocheng , Yang Gukun , An Wenting , Tian Qinyu , Shi Huixian 
Published: April 2020

Abstract
In summer, it is easy to cause the plant to die in the natural light plant factory due to high temperature and high humidity. It is studied for the cooling dehumidification characteristics among various ways of cooling and dehumidification - water Energy- saving groundwater source heat pump cooling air treatment unit (ATU), wet curtain fan, mechanical ventilation, etc. in the semi-enclosed natural light plant factory in typical plum rain weather. The results show that, during the rainy season, the external environment is relatively low temperature. On a typical day, the average temperature is 28.10°C from 9:15 to 17:00 in daytime in the natural light plant factory with only mechanical ventilation. The indoor temperature is 31.1°C, and the average relative humidity is 81.61%, which can meet the needs of suitable temperature and humidity for cultivated crops. Compared with the normal opening of ATU, only the A area can save the operating cost of 337.34 yuan per day. Between 0:00 and 6:40 in the morning and 20:40 to 24:00 in the evening, the average relative humidity of the natural light plant with both mechanical and natural ventilation is 87.03%. Only mechanical ventilation is opened, and the relative humidity is 95.44%. Therefore, natural ventilation should be strengthened from night to next morning.
Development of Control Terminal of Control System of Light Hydrocarbon Gas Generator Based on NB-IoT
Authors: Zhao Xu , Zhang Wenzhi , Tian Weiwen 
Published: April 2020

Abstract
To improve the instability of light hydrocarbon gas supply station, the need for long-term maintenance and guard of staff, and improve the intelligence and automation of gas supply station, a perception terminal of light hydrocarbon gas generation device control system based on NB-IoT is designed. The data of liquid level, temperature, gas supply, and pressure are collected by STC15W4K56S4 low-power single-chip microcomputer. Based on the platform of the Internet of things, the remote transmission of data is completed by the BC95 module and local monitoring center. The experiment shows that the terminal can effectively transmit the collected data, respond to the command of the monitoring center, and complete the two-way communication between the terminal and the monitoring center, which has a high engineering value.