bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Three-Phase Shunt Active Power Filter based on Deadbeat Control Method
Authors: Haoguang Li , Yan Pang 
Published: October 2020

Abstract
As electrical power converting circuits are widely used in power grid, the harmonic waves are produced in electrical power system, and harmonic waves also causes the decrease of electrical power quality and have adverse effect to the electrical equipment. In order to ease these disadvantageous influences, on the basis of analysing existing series and shunt active electric power filter, a direct current control method based on deadbeat control strategy is proposed in the paper. The principle of deadbeat control method was illustrated first, then a simulation model was built to prove the effectiveness of the method. The simulation result indicated the shunt active filter based on deadbeat control method can obviously improve power quality.
Detection and Analysis of Spatial Differentiation of Potential Water Quality Status in Dianchi Lake Based on GF-5
Authors: Lin HU , Gan Shu , Yuan Ling 
Published: October 2020

Abstract
The outbreak of cyanobacterial blooms and the deterioration of potential water quality status caused by the eutrophication of Dianchi Lake is a hot topic in the research of Dianchi Lake environmental protection. Based on Gaofen No.5(GF-5) hyperspectral remote sensing data, Normalized Vegetation Index(NDVI) is used to indicate the impact of aquatic plants on potential water quality status in Dianchi Lake. And through the spatial statistical classification analysis of NDVI value range, the focus is on the spatial differentiation characteristics of the potential water quality status in Caohai and Waihai. The results are as follows: ①General quantitative statistical analysis of NDVI range shows that the mean values of NDVI in Caohai and Waihai are -0.387 and -0.713 respectively, indicating that the potential water quality status in Caohai are more serious than Waihai; ②According to the classification and statistics of NDVI range in Caohai, NDVI mid-value area accounts for 51.99% of the total area of Caohai. The spatial distribution ratios of NDVI low-value area and high-value area are less, 38.20% and 9.81% respectively; ③According to the classification and statistics of the potential water quality status in Waihai, the spatial distribution of NDVI low-value area, mid-value area and high-value area account for 47.16%, 51.45% and 1.39% of the total area of Waihai; ④The spatial distribution of the potential water quality status in Dianchi Lake shows the pattern characteristic of “north is heavy and south is light”. The potential water quality status in Caohai are generally worse than that of Waihai, and there are more serious potential water quality problems than Waihai. In general, the application of high-resolution remote sensing data can effectively monitor and identify the potential water quality status and spatial distribution of plateau lakes in real time, enriching the methods of monitoring the water quality of lakes based on hyperspectral remote sensing, which is conducive to promoting the protection and management of water resources environment in Dianchi Lake.
Integrated energy system planning method considering electric-heat-gas coupling
Authors: Wang Nan , Li Zhen , Zhao Pengxiang , Li Na , Wang Yongli , Zhang Yuli 
Published: October 2020

Abstract
In order to determine the optimal configuration of energy equipment types and capacities in an integrated energy system, this paper proposes a method of equipment selection and capacity planning for an integrated energy system (IES) that considers the coupling of electricity, heat, and gas. Starting from the type of optional equipment and the form of input energy, the basic structure of IES is established. On this basis, for the equipment selection and capacity planning, an optimization model with the minimum annual comprehensive cost as the objective function is established, and the mixed integer linear programming algorithm is used to optimize the equipment type and capacity at the same time. Finally, taking an IES park as an example, the planning schemes in different scenarios are given, and the effectiveness of the proposed method is verified.
The US sustainable energy policy during Obama Administration
Authors: Qian Xuming 
Published: October 2020

Abstract
In recent years, global issues such as energy and global climate change have played an increasingly prominent role in international affairs. The Obama administration of the United States has launched a sustainable energy policy, which highlights “green”, promotes the transformation of the energy industry, develops new and renewable energy, and improves the efficiency of energy use to lead a new wave of energy technology development. The “shale gas revolution” in the United States has achieved great success, freeing the United States from the current economic difficulties, alleviating the employment problem of the United States, injecting vitality into its economic recovery, and having a greater impact on the international economic landscape.
Study on fuzzy decision -making in production safety management for metal ore drilling
Authors: Zhang Xiliang , Zhang Zhongguo , Liu Lei 
Published: October 2020

Abstract
This paper studied a series of main and objective factors that affect production safety in the process of mining for metal ore, analyzed all kinds of safety factors and their sets, levels and weights, established the corresponding expert system, and the fuzzy mathematics model of the safety evaluation of the metal mining process was established, and it is applied to the safety evaluation of the Maoping lead zinc ore in Yunnan province.The practice shows that the model is a feasible, objective, fair, comprehensive and quantifiable safety assessment method, which realizes the quantitative assessment of metal ore production process and has good application value for the safety assessment of metal ore mining.
Simulation and analysis of polymer dispersed dissolution process on offshore platforms
Authors: Zhu Shijie , Zhu Shanshan , Shi Leiting , Zhang Hong 
Published: October 2020

Abstract
When the offshore oil field polymer flooding carried out field experiment to expand the scale of polymer injection, the polymer dispersed and dissolved poorly, and with floc output, because of the existing process used the previous construction parameters. Therefore, it was found that the process/method of the two-stage preparation of the mother liquor in the offshore oil field was reasonable and feasible through the parameter analysis of the dispersion process on the offshore platform. The mixing effect of the water and powder in the dissolving tank was further studied in terms of the stirring rate and stirring position of the fan blade which could change the water speed and changing the feeding position of the polymer powder. The simulation results showed that increasing the stirring rate to form a consistent circulation state with the inlet water and feeding the powder into the main stream line of the circulation were beneficial to the dispersion and dissolution of the polymer powder. Thus, the purpose of fully dispersing and dissolving polymer powder during the preparation of high concentration of polymer mother liquor was achieved.
Sensitivity Analysis of Loess Triaxial Mesoscopic Parameters Based on PFC3D
Authors: Cao Baohua 
Published: October 2020

Abstract
Based on PFC3D software and theory, combined with the indoor triaxial test results to calibrate the basic micro parameters of numerical simulation, through a large number of literature reading, respectively, the friction coefficient, porosity, particle size distribution are determined as the sensitivity factors affecting the triaxial numerical simulation of loess. The conventional triaxial numerical simulation of loess numerical samples under 200kPa confining pressure was conducted. The sensitivity analysis of meso-parameters is carried out by changing the degree of influence of meso-parameters such as the minimum particle radius on the macro-mechanical behavior of loess numerical samples, and the relationship between micro parameters of soil and macro mechanics is established. The results show that the order of the influence of particle mesoscopic parameters on peak strength is as follow: porosity> friction coefficient between particles>particle size distribution; the order of influence on residual strength is as follow: porosity>friction coefficient between particles>particle stiffness ratio>particle size distribution; the order of influence on the initial linear elastic modulus of the loess material is as follow: porosity>friction coefficient between particles>particle size distribution; the order of effect on softening characteristics is as follow: porosity>friction coefficient between particles>particle size distribution.
Oil relations between China and Russia- Electrochemical Behavior of organic sulfur compounds
Authors: Jinling Chen 
Published: October 2020

Abstract
The man purpose of this paper is that the demonstration fuel electrochemical hydrogenation desulfurization method is feasible. First, many sulfur compounds in fuels are summarized as thiophene, which is a typical representative of materials. Then, analyze and judge the reaction mechanism of thiophene electrochemical hydrogenation desulfurization. Furthermore, typical of this oil in the thiophene sulfur compounds the reaction mechanism, by analogy, that the electrochemical hydrogenation of oil desulfurization method is feasible.
Study on dynamic properties and micro-structure of exceeding lean RCC
Authors: Peng Yunfeng 
Published: October 2020

Abstract
In recent years, exceeding lean RCC has been widely used in the quality structure of hydraulic buildings due to its advantages of low cost and environmental friendliness. In order to study the dynamic characteristics of exceeding lean RCC under seismic action, cyclic loading test is carried out. According to the test results, the elasticity of the stress-strain relationship was determined by cyclic loading test under the condition that the maximum compressive stress did not exceed the linear range of the hard packing. On this basis, the linear range of cyclic load exceeding the limit of lean concrete is analyzed. In addition, the reaction products of each sample were tested, and it was found that ettringite with typical acicular structure was produced after adding cement. The micro-structure of exceeding lean RCC was studied by SEM and EDS.
A process of reverse electrodialysis (RED) coupled with water electrolysis (WE) for air conditioning waste heat recovering: A conceptual design
Authors: Li Yaxiao , Yang Dongxiao 
Published: October 2020

Abstract
Air conditioning waste heat deserves attention for its abundance, especially for the large-scale industrial and commercial systems. Hydrogen is widely accepted as an ideal energy carrier in the foreseeable future. In this paper, a process combining reverse electrodialysis (RED) and water electrolysis (WE) is proposed to convert the air conditioning waste heat to the hydrogen energy. Based on the assumption of large-scale application of the fuel cell electrical vehicle (FCEV), a conceptual design of the proposed process is investigated. The RED section of the process consumes both the air conditioning waste heat and the solar energy to generate electrical power, while the WE section produces hydrogen by using the electrical power. The concentration of the artificial brine solution for RED is designed to be 4-5 M, and its operating temperature is set to 40 °C. The RED power density in this paper is assumed to be 2.7 W/m2Furthermore, a techno-economic analysis is carried out for the process. Results showed that the proposed process shows potential to become an alternative option for air conditioning waste heat recovery. The conclusion of this paper may be interesting to the researchers in the fields of RED technology and low-grade heat recovery.
Hydrostatic Test and Simulation Verification of Pipeline with Carbon Fiber Repair
Authors: Zeng Weiguo , Zhao Hongtao , Wang Yongzhen , Li Yan , Huo Sitong 
Published: October 2020

Abstract
We specially designed a hydraulic blasting test for the repair capability of carbon fiber composite materials on pipelines containing defects. In the water pressure test, the location of the pipeline pressure rupture did not appear in the repair area, and the amount of pipeline deformation in the repair area was small. A finite element simulation of the compression process was carried out. After simulation verification, it was found that the ultimate pressures of the two were basically the same, and in the limit state, the stress value of the carbon fiber composite material in the repair area did not exceed its tensile failure strength. It is concluded that carbon fiber composite materials can effectively repair pipeline defects and restore the pressure bearing capacity of the defects.
Analysis of Related Factors of the Precision of Large-scale Surveying of Unmanned Aerial Vehicles (UAV)
Authors: Xiufeng Xin , Long Zhen Yun , Chengyu Zhang , Xuewei Wu 
Published: October 2020

Abstract
With the development of UAV technology, obtaining high-resolution remote sensing images through aerial photography has gradually become popular. This technique has been widely used in various aspects of geomatics. However, state of UAV when flying in the air will be affected by the valley airflow due to small size, light weight, and low flying height in UAV. In addition, the image range of the non-measurement camera equipped with the drone is small, which may lead to a large error in plane and elevation accuracy. For example, it is difficult for the accuracy of drone photogrammetry to meet the survey work of the 1:500 large-scale topographic maps in hills and mountains. Therefore, how to improve the mapping accuracy of the UAV has attract people’s attention at present. In this paper, the source of errors in the 1: 500 UAV mapping process is used as an entry point, and the related factors that affect the accuracy of the mapping are analyzed, so as to improve the design of the UAV route.
Effect of rolling motion on heat transfer characteristics of narrow rectangular channel with high subcooled boiling
Authors: Yu Shengzhi , Jia Zhen , Wang Cong , Gong Zili , Chen Lei , Yan Changqi 
Published: October 2020

Abstract
In this paper, the effects of vertical and rolling motion conditions on high subcooled boiling heat transfer in narrow rectangular channels of natural circulation system are investigated experimentally. To analyze the error of instantaneous heat transfer coefficient better, a calculation error method based on temperature difference is proposed. The results show that the error between the predicted heat transfer coefficient of Yan’s formula and the experimental value is less than 30% under vertical and rolling motion conditions.
The successful application of a new high temperature resistant movable gel system in HBU fault block
Authors: Yue Wang 
Published: October 2020

Abstract
The HBU fault block is a sandstone reservoir with the temperature as high as 118 °C, multiple longitudinal layers, severe heterogeneity, and the development of interflowing channels. After years of development, the reservoir has a high recovery rate (33.6%) and a high comprehensive water cut (93.6%). In order to improve the effect of water flooding development block, on the basis of geological research, we developed a new type of high temperature resistant movable gel displacement system, optimizing injection technology at the same time. In July 2018, deep adjustments and flooding were carried out on five oil well groups, and by May 2020, 16 Wells had increased oil by 13,000t. It was predicted that the production decline would reverse to -2.1%, which was a technical and economic success.
Experimental and numerical study of the running-in wear coefficient during dry sliding contact
Authors: Ghatrehsamani Sahar , Akbarzadeh Saleh , Khonsari M M 
Published: October 2020

Abstract
The steady-state performance of a tribo-pair is influenced, to a great extent, by the operating conditions at which it is run-in. To gain insight into the influence of operating conditions, experiments are conducted using a pin-on-disk test rig to evaluate the running-in duration under a combination of different loads and speeds. The wear rate and the arithmetic average of asperity heights, R

a
, and friction coefficient are measured during the running-in period. It is shown that the transient behavior during the running-in period is significantly influenced by the loading condition. At the onset of the steady-state period, the surface roughness, the wear coefficient, and friction coefficient reach a plateau. However, the steady-state friction and wear behavior is influenced by the transient history associated with the running-in period. A predictive model is developed that utilizes the principles of the continuum damage mechanics (CDM) to predict the wear coefficient for transient and steady regimes. Comparisons of the measured wear coefficient and the calculated wear coefficient show acceptable agreement.
4D printing of shape memory polymer via liquid crystal display (LCD) stereolithographic 3D printing
Authors: Shan Wubin , Chen Yifan , Hu Mo , Qin Shigang , Liu Peng 
Published: September 2020

Abstract
In this study, we report a new epoxy acrylate based shape memory polymer (SMP) fabricated by Liquid crystal display (LCD) Stereolithographic 3D printing. The printed 3D object has a high resolution and high transparency in visible light region. The uniaxial tensile tests showed enhanced tensile toughness and tunable mechanical properties. The fix-recovery and cycle tests indicated high shape recovery properties including high shape recovery rate and excellent cycling stability. In addition, a smart electrical valve actuator was fabricated that can be used in fast heat or electricity responsive electrical circuits. LCD 3D printing provides a low-cost and high efficient way to fabricate fast responsive SMP, which can be used in wide applications in various fields on aerospace engineering, biomedical devices, soft robots and electronic devices.
Randomness quantification for quantum random number generation based on detection of amplified spontaneous emission noise
Authors: Yang Jie , Fan Fan , Liu Jinlu , Su Qi , Li Yang , Huang Wei , Xu Bingjie 
Published: October 2020

Abstract
The amplified spontaneous emission (ASE) noise has been extensively studied and employed to build quantum random number generators (QRNGs). While the previous relative works mainly focus on the realization and verification of the QRNG system, the comprehensive physical model and randomness quantification for the general detection of the ASE noise are still incomplete, which is essential for the quantitative security analysis. In this paper, a systematical physical model for the detection and acquisition of the ASE noise with added electronic noise is developed and verified, based on which the numerical simulations are performed under various setups and the simulation results all significantly fit well with the corresponding experimental data. Then, a randomness quantification method and the corresponding experimentally verifiable approach are proposed and validated, which quantifies the randomness purely resulted from the quantum process and improves the security analysis for the QRNG based on the detection of the ASE noise. The physical model and the randomness quantification method proposed in this paper are of significant feasibility and applicable for the QRNG system with randomness originating from the detection of the photon number with arbitrary distributions.
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography
Authors: J Lagerwerf Marinus , A Hendriksen Allard , Buurlage Jan-Willem , Joost Batenburg K 
Published: October 2020

Abstract
At x-ray beamlines of synchrotron light sources, the achievable time-resolution for 3D tomographic imaging of the interior of an object has been reduced to a fraction of a second, enabling rapidly changing structures to be examined. The associated data acquisition rates require sizable computational resources for reconstruction. Therefore, full 3D reconstruction of the object is usually performed after the scan has completed. Quasi-3D reconstruction—where several interactive 2D slices are computed instead of a 3D volume—has been shown to be significantly more efficient, and can enable the real-time reconstruction and visualization of the interior. However, quasi-3D reconstruction relies on filtered backprojection type algorithms, which are typically sensitive to measurement noise. To overcome this issue, we propose Noise2Filter, a learned filter method that can be trained using only the measured data, and does not require any additional training data. This method combines quasi-3D reconstruction, learned filters, and self-supervised learning to derive a tomographic reconstruction method that can be trained in under a minute and evaluated in real-time. We show limited loss of accuracy compared to training with additional training data, and improved accuracy compared to standard filter-based methods.
Evaluation of the Truvian Easy Check COVID-19 IgM/IgG Lateral Flow Device for Rapid Anti-SARS-CoV-2 Antibody Detection
Authors: Chan Clarence W , Shahul Sajid , Coleman Cheyenne , Tesic Vera , Parker Kyle , Yeo Kiang-Teck J 
Published: October 2020

AbstractObjectivesTo evaluate the analytical and clinical performance of the Truvian Easy Check coronavirus disease 2019 (COVID-19) IgM/IgG anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody test.Serologic assays have become increasingly available for surveillance through the Food and Drug Administration emergency use authorization in the ongoing COVID-19 global pandemic. However, widespread application of serologic assays has been curbed by reports of faulty or inaccurate tests. Therefore, rapid COVID-19 antibody tests need to be thoroughly validated prior to their implementation.MethodsThe Easy Check device was analytically evaluated and its performance was compared with the Roche Elecsys anti-SARS-CoV-2 antibody assay. The test was further characterized for cross-reactivity using sera obtained from patients infected by other viruses. Clinical performance was analyzed with polymerase chain reaction-confirmed samples and a 2015 prepandemic reference sample set.ResultsThe Easy Check device showed excellent analytical performance and compares well with the Roche Elecsys antibody assay, with an overall concordance of 98.6%. Clinical performance showed a sensitivity of 96.6%, a specificity of 98.2%, and an overall accuracy of 98.1%.ConclusionsThe Easy Check device is a simple, reliable, and rapid test for detection of SARS-CoV-2 seropositivity, and its performance compares favorably against the automated Roche Elecsys antibody assay.