bluuebunny/crossref_metadata_2025_split huggingface dataset:
Etching of GeSe2 chalcogenide glass and its pulsed laser deposited thin films in SF6, SF6/Ar and SF6/O2 plasmas
Authors: Meyer T , LeDain G , Girard A , Rhallabi A , Bouška M , Němec P , Nazabal V , Cardinaud C 
Published: August 2020

Abstract
Excited species, reactive neutral species and positive ions, produced during the etching of Ge, Se and GeSe2 targets in inductively coupled plasmas, were identified by means of mass spectrometry (MS) and optical emission spectroscopy. The surface of etched Ge39Se61 thin films were analyzed thanks to in situ x-ray photoelectron spectroscopy (XPS) and compared with those of Ge and Se etched samples. In 100% SF6, the successive adsorption of fluorine atoms forms SeF
x
(x = 2, 4, 6) and GeF
x
(x = 2, 4) stable and volatile products, generating a surface with few residues as interpreted with in situ XPS. The identification of SSe

F

x

+

(x = 2, 3, 7) ions confirms that sulfur atoms play a role during the etching of Se-containing materials. A 0D kinetic model predicted the evolution of reactive neutral fluxes, ion fluxes and plasma parameters (T
e and n
e) in SF6/Ar plasmas. It was found that the SeF6 and GeF4 concentrations, through Se

F

5

+

and Ge

F

3

+

MS signals, were related to the fluorine atom flux. In SF6/O2, the simultaneous effect of fluorine and oxygen adsorption induces (Se)
x
–Ge–R
4−x
environments (R = F, O) at the surface of the Ge39Se61 thin films.
Interface reactions between water and ionic wind generated by d.c. corona discharge in nitrogen
Authors: Zhang Zhongshu , Wilson Mark P , MacGregor Scott J , Timoshkin Igor V , Given Martin , Wang Tao 
Published: August 2020

Abstract
This work investigated the interface reactions between water and ionic wind from a positive d.c. corona discharge in nitrogen. The effects of drift ions and active neutral species were investigated on their production of hydrogen peroxide in water. Both positive drift ions and active neutral species were found to produce hydrogen peroxide in water. 1 mol positive drift ions can produce 0.13 mol hydrogen peroxide under atmospheric pressure; a reduced gas pressure increased the production of hydrogen peroxide, with 1 mol ions producing 0.29 mol hydrogen peroxide at 100 torr. The gas pressure has little effect on the production of hydrogen peroxide by active neutral species. The drift positive ions acted as ion anode on water surface, reacting with water to produce hydrogen, oxygen, and hydrogen peroxide. The adsorbed form of OH and O produced at the interface can synergistically work to react with the OH scavengers in water. Both HO2 and H2O2 from the discharge were transported to water to produce the liquid phase hydrogen peroxide.
A lumped parameter model for strip-shaped dielectric elastomer membrane transducers with arbitrary aspect ratio
Authors: Rizzello G , Loew P , Agostini L , Fontana M , Seelecke S 
Published: August 2020

Abstract
Dielectric elastomer (DE) membrane transducers allow to achieve large strain, low energy consumption, low-noise, and highly compact mechatronic devices. To optimize the design of membrane DEs via numerically efficient software tools, as well as to develop accurate control and self-sensing algorithms, a lumped parameter model is required. In the case of rectangular DE strips clamped at both ends and subject to a uniaxial in-plane load, the resulting necking and inhomogeneous deformation turn out to be challenging to be described via standard lumped models, thus making it necessary to rely on numerically involved finite element (FE) tools. In this paper, we present a novel modeling framework that permits to accurately describe clamped DE membranes with generic aspect ratio in a control-oriented fashion. The model is grounded on an anisotropic free-energy function, which maps the inhomogeneities due to clamping within the constitutive membrane behavior. In this way, a lumped description of the DE can be obtained in terms of average stress and stretch quantities. After presenting the model, an extensive validation is performed by means of comparative studies with FE simulations as well as experimental results. It is observed how the proposed model permits to accurately describe the electro-mechanical response of clamped DE membranes for a wide range of aspect ratios, including nearly-uniaxial, nearly-pure shear, as well as intermediate configurations.
Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer
Authors: Johnson Kaitlyn E , Howard Grant R , Morgan Daylin , Brenner Eric A , Gardner Andrea L , Durrett Russell E , Mo William , Al’Khafaji Aziz , Sontag Eduardo D , Jarrett Angela M , Yankeelov Thomas E , Brock Amy 
Published: August 2020

Abstract
A significant challenge in the field of biomedicine is the development of methods to integrate the multitude of dispersed data sets into comprehensive frameworks to be used to generate optimal clinical decisions. Recent technological advances in single cell analysis allow for high-dimensional molecular characterization of cells and populations, but to date, few mathematical models have attempted to integrate measurements from the single cell scale with other types of longitudinal data. Here, we present a framework that actionizes static outputs from a machine learning model and leverages these as measurements of state variables in a dynamic model of treatment response. We apply this framework to breast cancer cells to integrate single cell transcriptomic data with longitudinal bulk cell population (bulk time course) data. We demonstrate that the explicit inclusion of the phenotypic composition estimate, derived from single cell RNA-sequencing data (scRNA-seq), improves accuracy in the prediction of new treatments with a concordance correlation coefficient (CCC) of 0.92 compared to a prediction accuracy of CCC = 0.64 when fitting on longitudinal bulk cell population data alone. To our knowledge, this is the first work that explicitly integrates single cell clonally-resolved transcriptome datasets with bulk time-course data to jointly calibrate a mathematical model of drug resistance dynamics. We anticipate this approach to be a first step that demonstrates the feasibility of incorporating multiple data types into mathematical models to develop optimized treatment regimens from data.
Unified interpretation of scalegenesis in conformally extended standard models: a dynamical origin of Higgs portal *
Authors: Ishida Hiroyuki , Matsuzaki Shinya , Ouyang Ruiwen 
Published: August 2020

Abstract
We present a universal interpretation of a class of conformal extended standard models that include Higgs portal interactions as realized in low-energy effective theories. The scale generation mechanism in this class (scalegenesis) arises along the (nearly) conformal/flat direction for breaking scale symmetry, where the electroweak symmetry-breaking structure arises similarly as in the standard model. A dynamical origin for the Higgs portal coupling can provide the discriminator for the low-energy “universality class,” to be probed in forthcoming collider experiments.
An insight into the present capabilities of national metrology institutes for measuring sparkle
Authors: Ferrero A , Basic N , Campos J , Pastuschek M , Perales E , Porrovecchio G , Šmid M , Schirmacher A , Velázquez J L , Martínez-Verdú F M 
Published: August 2020

Abstract
Large-effect pigments, due to their strongly specular reflectance, produce a special visual texture known as sparkle. The use of these pigments in many industries (automotive, cosmetic, paper, architecture...) makes the control of this visual texture necessary. Sparkle measurands have been defined in this article, so that traceability of sparkle measurements can be provided by national metrology institutes or designated institutes. Some of them (Physikalisch-Technische Bundesanstalt, Eidgenössisches Institut für Metrologie, Cesky Metrologicky Institut and Consejo Superior de Investigaciones Científicas) have tested their existing measurement capabilities for the defined sparkle measurands, and their results are presented and thoroughly compared. Two possible sources of systematic error have been identified: inadequate illumination and collection solid angles, and an inadequate size of the virtual aperture used to assess the luminous flux reflected by the effect pigments. Finally, it has been shown that the measures correlate excellently with the sparkle visual data. The results shown in this research support the sparkle measurands defined here as adequate quantities for defining the standard measurement scale of sparkle claimed by industry.
Design of a New Type of automatic welding for saddle-type intersecting line
Authors: Yong Wang , Lei Wang , An-gen Bian 
Published: August 2020

Abstract
A new type of pipe-to-pipe intersecting line welding device uses a large and small cam structure and a circular arc-shaped sliding track of the welding gun frame, which ensures that the welding gun rotates with the workpiece to coordinate the lifting movement and the corresponding adjustment of the welding gun’s position. Production practice shows that the movement’s position is precise, there is no accumulation of transmission errors, and the welding gun’s movement has high reproducibility and precision. It has a low-cost automated special welding equipment for pipe-to-pipe intersections.
The Application of A New Disturbance Observer in Variable-load Electro-Optical Stabilized Platforms
Authors: Li Zhi-qiang , Song Chao , Xu Feng-lei , Huang Jie , Luan Xiao-fei 
Published: August 2020

Abstract
Aiming at controlling difficulty of variable load Electro-Optical Stabilized Platforms (EOSPs), a control algorithm of perturbation rejecter + Disturbance Observer (DOB) is proposed by using the disturbance suppressor to compensate the disturbance observer due to model mismatch, to improve the robust performance of whole control system and the performance of disturbance suppression. The above control methods are validated in dual-rate loop structure under different friction load and effectively improve the stabilize accuracy of EOSPs. The results show that the compensation strategies of coordinating with one another can constrain effectively the impact of control performance caused by load change, and improve the platforms’ stabilization accuracy. According to experimental verification, the control method is effective and applicable in variable load conditions, and can provide reference resources and basis for engineering application of the control algorithm.
Super-twisting sliding mode control of permanent magnet synchronous motor based on voltage compensation
Authors: Jinli Xu , Zhen Peng 
Published: August 2020

Abstract
In this paper, a compensation method for the expected voltage value was proposed to the problem of speed overshoot in traditional Super-twisting sliding mode control applied to permanent magnet synchronous motors (PMSM). This method combines the voltage change caused by the load angle change, overcomes the overshoot situation when the speed changes rapidly, and speeds up the time to reach the given speed. The proposed control theory is verified by MATLAB/Simulink software. Simulation results show that the proposed compensation method can successfully suppress speed overshoot and improve the dynamic response of speed.
Research on Error and Compensation of Volume Measurement System for Nondestructive Testing
Authors: Yong Gan , Jianghao Yu , Yongsen Wen 
Published: August 2020

Abstract
In order to improve the measurement accuracy of the three-dimensional non-destructive testing device for slice volume, the experimental error caused by the hydraulic loss of the experimental container is analyzed and compensated. Through the analysis of the overflow characteristics, the weir flow model of the overflow is established, the profile curve of the overflow and the overflow round tube are optimized to reduce local losses, and verified by experiment. The results show that the measurement accuracy of the liquid volume is improved by about 54.85%, and this optimization scheme is effective. By optimizing the experimental device, the error is compensated to ensure the accuracy of data collection.
Simulation on guided waves in the pipe with defects
Authors: Peng Ding , Guangfei MA , Lei Guan , Chao Lu , Ling XU 
Published: August 2020

Abstract
In this paper, the finite element numerical simulation is used. The transmission and reflection of both L (0,1) mode and F(1,1) mode of the ultrasonic guided wave were simulated. The transmission and reflection of the ultrasonic guided wave in the pipe were analyzed when the defect in different axial, circumferential, and depth. When the defect’s size changes in the axial direction and circumferential direction, the trend of the two kinds modes’ reflection coefficient is the same. In a certain size, the reflection coefficient of F(1,1) is higher than the L(0,1). When the depth of the effect change, the trend of the two modes’ reflection coefficient is different.
Instantaneous optimal control for vehicle nonlinear suspension system with time delay
Authors: Yan G , Fang M X 
Published: August 2020

Abstract
This paper deals with the problem of instantaneous optimal control for vehicle suspension system with control time delay. The control objective is to improve vehicle ride comfort. Firstly, the dynamic equation of nonlinear suspension system is established. Secondly, to reduce the effect of control time delay, a formula based on integral transformation is introduced to obtain instantaneous optimal control strategy. Finally, the effectiveness of instantaneous optimal control is verified by numerical simulation. The analysis results reflect that the instantaneous optimal control could ensure the stability of the control system no matter how the time delay changes. And it is also found that the control effect varies with the control time delay. It lays a foundation for the study of how to add intentional time delay in the control loop to make the control effect better. This paper provides an effective way for nonlinear vibration control, which has important theoretical and engineering application value.
Influential node identification method of assembly system based on TOPSIS and Topology
Authors: Yuan Bo , Chang Jian-e , Zhang Feng 
Published: August 2020

Abstract
In order to find the influential manufacturing resources in a complex assembly system, a topology model of a complex assembly system was constructed based on the complex network theory. Complex network evaluation indicators with different attributes were used to evaluate the network, and AHP subjective weight method was used to determine the subjective weights between different evaluation indicators. Then the CRITIC weighting method was used to give the objective weights of each evaluation index, and perform subjective evaluation. The combination was modified to obtain the final combination weight, and the importance of key manufacturing resources was ranked by the TOPSIS comprehensive decision method. Based on the simulation calculation of the automobile assembly line network, the analysis and comparison of the ranking results were performed. The analysis results show that the comprehensive evaluation and comparison method has the comparative advantage of identifying key resources.
System Design and Characteristic Analysis of Intelligent Follow-up Hydraulic Muffler
Authors: Chang-ji Shan , Jun Yuan , Hang Jiang , Yan Cai , Yin Zhao , De-Lan Wu 
Published: August 2020

Abstract
The pulsating flow output of plunger pump will produce pressure pulsation after flowing through the pipeline. Using hydraulic muffler to attenuate the pressure pulsation of the pipeline is an economical, reliable and easy to implement method. Intelligent follow-up hydraulic muffler, which adapts to pressure pulsation changing at any time by changing its own parameters, has become a research hotspot. Intelligent follow-up hydraulic muffler can accurately and effectively attenuate the pressure pulsation of the system and maximize the attenuation performance of the hydraulic muffler. The structure and performance of the existing intelligent follow-up hydraulic muffler are mainly introduced. The general methods, principles, advantages and disadvantages of intelligent follow-up hydraulic muffler design are summarized. On this basis, the development trend of intelligent hydraulic muffler is predicted and prospected.
Design of Self-service Car Washing Machine Control System Based on ARM
Authors: Peng Sun 
Published: August 2020

Abstract
With the cars in our country’s rapid increase, the limited quantity of traditional car washing shop has been unable to satisfy people’s needs. Responding to this problem the author designed a set of self-service car washing machine control system based on ARM, and a set of remote monitoring system based on 4G mobile network. The terminal control system adopted high speed, low power microcontroller LPC4350 as the control core; adopted RFID read-write module to realize IC card consumption; adopted EM770W 4G module for the washing machine terminal could connect to 4G mobile network. Through MODBUS protocol, the remote monitoring system based on KINGVIEW6.55 could communicate with the terminal system, and realized the real-time monitoring and recording the washing machines’ working parameters regularly. Because the designed system realized the unattended self-service washing, so it greatly reduced the maintenance workload, and improved the work efficiency.
Lung Parenchyma Segmentation Based on Improved Unet Network
Authors: Lv Lei , Sun Xin 
Published: August 2020

Abstract
Segmentation of lung parenchyma is an essential link in the diagnosis of lung diseases and also the premise of disease analysis. The accuracy of lung parenchyma segmentation affects the diagnosis and treatment of lung diseases. The size of input data will be reduced by using the traditional Unet network. In this paper, an improved Unet network structure is proposed to segment lung parenchyma automatically. In the process of convolution, the size of input data is kept constant by padding same and dropout layer is introduced into the network. We use cross entropy loss function to train the model for the first time. After the model converges, we use custom Dice loss function to fine tune to improve the accuracy. By calculating Jaccard coefficient and DSC coefficient, our lung parenchyma segmentation method has a very high accuracy, which is better than the earlier researchers’ segmentation algorithm. The significance of this study is to provide pretreatment for the diagnosis and treatment of lung diseases.
Applied Research of Hierarchical Multi-objective Optimization Method in High Speed and High Precision Placement Machine
Authors: Huang Yinhua , Zhao Lianxing , Liu Peng 
Published: August 2020

Abstract
In practical engineering, placement optimization of multi-head in the high speed and high precision Surface Mount Technology (SMT) is a multi-objective optimization problem. It mainly includes the feeder distribution optimization, the component placement sequence optimization and the nozzle configuration optimization. Optimization problems are complicated and mutual coupling between them. In this paper, the hierarchical multi-objective optimization model is developed. In the hierarchical structure, the nozzle optimization is constructed as a 0-1 integer programming optimization model for the first master hierarchy. In the second hierarchical, component mounting sequence, feeder optimization and picking order are parallel optimized based on the first hierarchy optimization. The respective problems related algorithm strategies have been proposed. The engineering experiments show that this hierarchical multi-objective optimization method can significantly improve the overall performance of the multi-head placement machine with high speed and high precision.
Development of the safety diagnosis system for VCU of pure electric vehicle
Authors: Yongqiang Zhao , kaicheng Zhao , Chang Li , Xiang Li 
Published: August 2020

Abstract
Perfect safety monitoring system is the guarantee of vehicle safety. In this paper, through functional safety analysis and FMEA analysis, a pure electric vehicle safety monitoring system is developed, which can diagnose possible faults in real time, monitor software operation problems, and take appropriate fault handling strategies and safety mechanisms to ensure the safe and reliable operation of vehicles.
Design of a Ceramic Brick Cutting Robot
Authors: Peng Sun 
Published: August 2020

Abstract
Ceramic tiles are now widely used in indoor and outdoor decoration projects. Aiming at the shortcomings of the existing ceramic tile cutting machine, a ceramic tile cutting robot is designed. PLC is used as the control core of the robot to make the size adjustment of ceramic tile cutting convenient and flexible, the cutting error is small, the tile section is smooth and tidy, and the breakage rate is low, which improves the efficiency of ceramic tile cutting and reduces the labour intensity of workers.
Quality control mode of intelligent assembly workshop based on digital twin
Authors: Hao B , Wang M Y , Fu S L , Xu D P , Wang J X 
Published: August 2020

Abstract
Intelligent assembly workshop technology based on digital twin is a potential way to realize intelligent manufacturing. Aiming at the complex assembly process and low assembly quality in the complex product assembly workshop, the research on the quality control mode of intelligent assembly workshop based on digital twin was carried out. On the basis of real-time collect of resource location information, assembly process information and assembly quality information by using the quality control mode, the Markov method and Manhattan distance algorithm were used to realize assembly process and quality control in assembly workshop. Finally, taking an aircraft wing assembly workshop as an example, the prototype control system of intelligent assembly workshop is applied and verified to provide a technical approach for improving assembly quality and realizing assembly workshop real-time and dynamic control.
A Survey of Water Droplet Recognition Algorithms on Object Surface
Authors: Yingya Zheng , Xiangzhen Zan 
Published: August 2020

Abstract
The recognition and extraction of water droplets on object surface have important practical application value. This article focuses on summarizing the different water droplet recognition segmentation algorithms, mainly based on threshold, edge detection, region and morphology segmentation, and clustering and special model-based segmentation algorithms. Then, some shortcomings of the current algorithms are analyzed and the future research direction is prospected.
Progress of Application of Microfluidic Chip
Authors: Sun C M 
Published: August 2020

Abstract
Due to microfluidic chip’ s small sample consumption, high detection sensitivity, easy integration, automatic detection and other characteristics, it has been widely used in many fields such as environmental science, chemical detection, and life sciences. This article summarizes the current application and commercial development of microfluidic chips. At the same time, some deficiencies in the technology, problems to be solved and future development directions are also reviewed and prospected.
Research on intelligent water platform based on Cloud Computing
Authors: Xiye Feng , Xiaoyan Yin , Hailin Zhu , Cuicui Ji , Chunming Xu , Tan Chen 
Published: August 2020

Abstract
Intelligent water platform is based on cloud computing and big data to build a comprehensive water management system. The system can analyze and process massive water information in a timely manner through cloud management, and make corresponding processing results to assist decision-making suggestions, so as to manage the whole production, management and service process of water system in a precise and dynamic way, so as to reach the intelligent state.