bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structure Cursor Fixing and Splicing Based on Cooperative Robot
Authors: Xu Jingwen , Gao Xingyu 
Published: May 2023

Abstract
In the field of machine vision, surface structured light image stitching can generate high-resolution images with large field of view, which can meet the needs of enterprise production. This paper introduces a 3D image Mosaic method based on robot arm and fringe projection technology. In this method, a surface structured light vision sensor installed at the end of the manipulator is used to scan and reconstruct the workpiece surface. The sensor consists of a DLP projector and a 3D camera. A set of sinusoidal structured light is projected at the measurement position, which is synchronously collected by the camera. The collected image is de-phased by using the principle of four-step phase shift and multi-frequency heterodyne to obtain 3D information. The coarse positioning algorithm of the manipulator is used to splice part of the acquired 3D information, and finally the complete 3D point cloud data on the surface of the workpiece to be measured is obtained. The experimental results show that the method can effectively and quickly obtain the 3D surface information of the car model, with strong stability and high accuracy.
Design and simulation of micro piezoelectric fiber triaxial acceleration sensor
Authors: Xu Haotian , Wang Yan , Zhou Zhenzhao , Xu Jinyong 
Published: May 2023

Abstract
Aiming at the demand for passive sonar systems for medium and low-frequency detection, low cost, and small working platform working sensor, a three-axis pressure piezoelectric accelerometer based on piezoelectric ceramic fiber is designed. Firstly, based on the acoustic vibration pick-up principle and extended Hamilton, the action mode of the accelerometer is analyzed theoretically to determine the accelerometer structure size. The accelerometer with a special mass structure is designed by using axially polarized piezoelectric ceramic fiber. The characteristic frequency and frequency domain analysis of the accelerometer are simulated by the FEM method. The results show that the overall size of the piezoelectric accelerometer is 20 mm ×20 mm×35 mm, the first-order natural frequency is 410 Hz, the external field directivity is standard “8” type, and the acceleration sensitivity reaches 112.2 mV/g, which verifies the great potential of the three-axis accelerometer designed by piezoelectric ceramic fiber material in the field of medium and low frequency.
Research on PID Control Strategy of Power Head Propulsion System of Engineering Hydraulic Drilling Rig
Authors: Li Yuanzhou , Liu Zhong , Xiong Zhonggang , Chen Zhong , Cai Jinyun 
Published: May 2023

Abstract
A mechanical model of the synchronous hydraulic system of the propulsion mechanism is established by taking the power head propulsion system of an engineering hydraulic drilling rig as the research subject. A master-slave regulation method based on the PID control strategy is proposed for the displacement deviation of two synchronous cylinders under the disturbance of external force. The method controls the synchronous accuracy of the two propulsion cylinders. Joint modeling and simulation with AMEsim and MATLAB are used to investigate the control performance of this synchronously controlled hydraulic cylinder under the disturbance of external forces. The results show that the system is subjected to an external load and cylinder 1 stabilizes after t=0.17s, and the synchronous control error between cylinder 1 and the expected value is 0.0005m. The stabilization error between cylinder 2 and cylinder 1 is 0.0006m; the power head propulsion system achieves the accuracy required for engineering construction and meets the working requirements of the engineering hydraulics drilling rig for the power head propulsion system.
Research and Implementation of CMC Chip Intelligent Control for Multi-axis Robot
Authors: Guo Qing , Gao Xingyu , Ning Lihua , Wang Ying , Chen Jianfei 
Published: May 2023

Abstract
Robot technology and professional technology in various fields are integrated across fields, and robots permeate all aspects of human life. As an important part of industrial robot control, intelligent motion control technology has always been a research hotspot. This paper introduces the design characteristics of CMC (Control Module on Chip), and expounds the interpolation algorithm of the point-by-point comparison method. On this basis, the multi-axis robot device is designed.
Research on crack detection method of anvil based on eddy current sensor
Authors: Gao Tao , Zhang Jinkui , Lu Guofu , Zhang Yinghong 
Published: May 2023

Abstract
In the process of synthetic diamond, as a key component of high-temperature and high-pressure devices, the crack of the six-sided press anvil is easy to cause serious safety accidents. This paper introduces a crack detection method based on an eddy current sensor. Through the detection system, the induced voltage value in the receiving coil is obtained when the hammer has cracks, so as to judge whether there are cracks in the hammer. The results show that when there is a crack in the anvil, the induced voltage in the receiving coil will increase significantly. When the crack length, width, and depth increase, the induced voltage in the receiving coil will increase significantly. It is proved that eddy current testing is feasible in anvil detection.
Research on Deformation Mechanism of High-Performance TC4 Alloy by near net shape manufacturing
Authors: Kang Limei , Zheng Jianming , Xian Bingchuan , Pang Xing 
Published: May 2023

Abstract
In this paper, we prepared titanium alloy through near-net forming green manufacturing, and then we quantitatively deformed the alloy and finally analyzed the deformation and fracture mechanism of the alloy. The result indicates that the deformation mechanism of those containing α + β lamellar structures is different from that of traditional structures. Especially, the lamellar structure can absorb the deformation energy of the alloy, thus improving the comprehensive properties of the alloy, of which the α phase mainly contributes to the plasticity of the alloy, while the β phase mainly contributes to the strength of the alloy. The two-phase combination will improve the mechanical properties of the alloy, which is completely different from the traditional strengthening mechanism of the basket structure and Widmanstatten structure.
An Ultrasonic Target Identification System Based on Piezoelectric Micromachined Ultrasonic Transducers
Authors: Gao Mingze , Wu Zhipeng , Tong Zhihao , Zhang Zhenghu , Lou Liang 
Published: May 2023

Abstract
In this paper, an ultrasonic target identification system based on Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) is proposed to improve the productivity efficiency of industrial production. The proposed system can accurately identify targets of different shapes. Two pieces of 3 × 3 PMUTs arrays with a resonant frequency of 115 kHz are used as the transmitter and receiver of the PMUTs-based ultrasonic sensor. The sensor is small in size and has high instability. In addition, the PMUTs based ultrasonic sensors have lower environmental requirements than vision sensors and are less expensive than laser sensors. Therefore, the sensors are suitable for large-scale use in industry. The characteristics of the proposed system are investigated in the shape experiments on the square, circle, frame, and ring targets. The four kinds of targets are acrylic plates with a thickness of 5mm. The experimental results show that the system can accurately identify the shapes of the four targets through the grid-based scheme. Besides, the identification process is automatically completed by the 3D mobile platform. The proposed system has demonstrated a cost-effective method to identify targets of different shapes, which can more efficiently guide the robotic manipulator’s grasping and other behaviors.
Error Analysis and Accuracy Optimization for the Hand-eye Calibration of Line Structured Light
Authors: Lu Yuwei , Zhang Jianguang , Yin Lizhao , Luo Jie , Dai Wei , Qin Shilin 
Published: May 2023

Abstract
The rapid development of machine vision technology in recent years has resulted in applications in engineering scenarios such as weld tracking, visual measurement, and precision gripping. Focusing on the fundamental steps of applying machine vision technology, the “hand-eye calibration” process is analyzed based on scenarios with a line-structured light camera and calibration ball. We found out that noise and camera pose are the main sources of calibration error. To address these issues, an improved K-medoids noise pre-processing algorithm and a camera shooting attitude control scheme are proposed and applied. The experimental results showed that when the radius of the tangent circle/radius of the calibration sphere approximates 0.618, the root means a square error of the repeatability accuracy of hand-eye calibration could be controlled within 0.23 mm, which fully meets the application requirement. Considering the low cost of line-structured light cameras, the findings of this study contribute to the large-scale diffusion of machine vision technology in engineering practices.
Inverse kinematics and singularity analysis of a redundant parallel robot
Authors: Li Jun , Liao Bin 
Published: May 2023

Abstract
The 3C (computer, communications, consumer electronics) industry belongs to labor-intensive and the requirements of the 3C industry are precisely high. The parallel robot is a good choice to replace human labor to manufacture these products. This paper presents a new 3-

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redundant parallel mechanism for 3C manufacturing. Firstly, some advantages of redundant parallel robots in the current industrial demand are discussed. Then, the inverse kinematics of the redundant parallel manipulator is analyzed according to the closed-loop equation, the inverse displacement problem is solved. The machine is simple and low cost, and as a less freedom robot, it has a higher precision than the traditional robot and has a broad prospect for 3C manufacturing. Finally, the Jacobian matrix of the redundant parallel manipulator was calculated and established by the inverse kinematics formula, and three kinds of the singularity of the mechanism were analyzed by the Jacobian matrix, which are the forward singularity, reverse singularity, mixed singularity respectively.
Observation on the bias current variation of a single mask triple GEM chamber
Authors: Chatterjee S. , Sen A. , Paul R. , Sahai S. , Das S. , Biswas S. 
Published: May 2023

Abstract
Gas Electron Multiplier (GEM) detector, one of the advanced members of the Micro Pattern
Gas Detector (MPGD) group, is widely used in High Energy Physics (HEP) experiments. The high rate
handling capability and spatial resolution make it a desired tracking detector for high rate HEP
experiments. Investigation of the long-term stability is an essential criterion for any tracking
device used in HEP experiments. To investigate the long-term stability of a Single Mask (SM)
triple GEM detector prototype, it is irradiated continuously using a 55Fe X-ray source of
energy 5.9 keV. The chamber is operated with Ar/CO2 gas mixture in continuous flow mode. The
gain and energy resolution of the chamber are calculated from the 5.9 keV X-ray peak and studied
as a function of time. The applied voltage, divider current and also the environmental parameters
(ambient temperature, pressure and relative humidity) are recorded continuously. It is observed
that at a fixed applied voltage, the divider current of the detector is changing with time and as
a result, the gain of the detector also changes. A systematic investigation is carried out to
understand the probable reasons behind the observed variation in divider current and also to find
its possible remedies. The details of the experimental setup, methodology and results are
discussed in this article.
Damage identification in concrete under impact loading at varying temperatures using voltage strain relations technique: an experimental and numerical study
Authors: Singh Indrajeet , Dev Nirendra , Pal Shilpa 
Published: May 2023

Abstract
Impact-loaded concrete structures cause severe and rapid damage, resulting in significant property and human life loss. As the temperature rises, the damage caused by impact loading becomes increasingly severe. Concrete structures need structural health monitoring (SHM) to avoid this damage and loss. In this study, the voltage strain relation technique was used to identify the damaged state of concrete under impact loads at various temperature conditions experimentally and numerically. For this purpose, an experimental study was performed on concrete cube specimens in which different piezo configurations (surface bonded, non-bonded, and jacketed) were installed to acquire the voltage data. Before applying an impact load to the top surface of the concrete specimen, it was preheated at 50 °C, 100 °C, and 150 °C to provide the temperature effect, and then a free-falling iron ball was dropped from 3 m heights on the top of the specimens. Furthermore, finite element analysis has been carried out to validate the experimental results with analytical results. The experimental results show that the voltage strain relation technique is well capable of detecting the damage in concrete under the temperature and impact loading conditions. The maximum absolute voltage value (Vp) of 17.11 V was recorded for the jacketed sensors under an impact height of 3 m at 100 °C. All the piezo sensor configurations are capable of finding the damage. Jacketed sensors are more efficient in the health assessment of concrete in terms of voltage strain relations. In terms of strain values, the analytical results are in good agreement with the experimental results.
Synthesis of silver nanoparticles from natural derived embelin compound and their uses in mercury degradation under solar light
Authors: Rajalakshmi T Uma , Sheeba Helen , Doss A , Veerabahu Ramyadevi , Sivagnanam Ananthi , Alfarraj Saleh , Alharbi Sulaiman Ali , Subbiah Jeeva , Mariselvam R 
Published: May 2023

Abstract
The present study deals with the isolation of embelin compound from Embelia ribes (Burm f). The isolated compounds were confirmed by UV/Vis spectrophotometer, 1H NMR and 13C NMR spectra. In absorption at 275 nm in UV/Vis spectra, peak range at 5.7ppm in 1H NMR and peak value at 28.52, 29.35, 31.73ppm in 13C NMR to confirmed the isolated compound are embelin. This isolated compound used as a reducing agent for silver nanoparticles synthesis. The synthesized En-AgNPs were morphologically and structurally confirmed by UV/Vis spectrophotometer, FT-IR, SEM, EDAX, and XRD. The synthesized silver nanoparticles are spherical in shape with the size of <100 nm. The embelin based silver nanoparticles used to degrade the toxic metal like Mercury under solar light. The toxic metal Mercury was degraded within 60 min by En-AgNPs under solar photo catalytic degradation.
New nanocomposite membranes based on polybenzimidazole with improved fuel cell performance at high temperatures
Authors: Hooshyari Khadijeh , Karimi Mohammad Bagher , Beydaghi Hossein , Su Huaneng , Ben Alireza Salimi 
Published: May 2023

AbstractIn this work, proton exchange membranes based on polybenzimidazole (PBI) with incorporation of acidic Fe3O4@SiO2@RF (resorcinol–formaldehyde)–SO3H nanoparticles are produced. The effects of the core@double-shell nanoparticles on the fuel cell performance of the PBI membrane are examined. The obtained results demonstrate that the proton conductivity of the PBI-Fe3O4@SiO2@RF–SO3H nanocomposite membranes increases. The interactions of Fe3O4@SiO2@RF–SO3H nanoparticles in the PBI matrix (which contains phosphoric acid) have strong effects on proton conductivity. The best proton conductivity of 170 mS cm−1is obtained in the nanocomposite membrane at 180 °C. The potential for the use of these nanocomposite membranes with improved fuel cell performance in high-temperature applications is confirmed.
Compression and information entropy of binary strings from the collision history of three hard balls
Authors: Vedak M , Ackland G J 
Published: May 2023

Abstract
We investigate how to measure and define the entropy of a simple chaotic system, three hard spheres on a ring. A novel approach is presented, which does not assume the ergodic hypothesis. It consists of transforming the particles’ collision history into a sequence of binary digits. We then investigate three approaches which should demonstrate the non-randomness of these collision-generated strings compared with random number generator created strings: Shannon entropy, diehard randomness tests and compression percentage. We show that the Shannon information entropy is unable to distinguish random from deterministic strings. The Diehard test performs better, but for certain mass-ratios the collision-generated strings are misidentified as random with high confidence. The zlib and bz2 compression algorithms are efficient at detecting non-randomness and low information content, with compression efficiencies that tend to 100% in the limit of infinite strings. Thus ‘compression algorithm entropy’ is non-extensive for this chaotic system, in marked contrast to the extensive entropy determined from phase-space integrals by assuming ergodicity.
Quantum advantage of Monte Carlo option pricing
Authors: Udvarnoki Zoltán , Fáth Gábor , Fogarasi Norbert 
Published: May 2023

Abstract
Quantum computers have the potential to provide quadratic speedup for Monte Carlo methods currently used in various classical applications. In this work, we examine the advantage of quantum computers for financial option pricing with the Monte Carlo method. Systematic and statistical errors are handled in a joint framework, and a relationship to quantum gate error is established. New metrics are introduced for the assessment of quantum advantage based on sample count and optimized error handling. We implement and analyze a Fourier series based approach and demonstrate its benefit over the more traditional rescaling method in function approximation. Our numerical calculations reveal the unpredictable nature of systematic errors, making consistent quantum advantage difficult with current quantum hardware. Our results indicate that very low noise levels, a two-qubit gate error rate below 10−6, are necessary for the quantum method to outperform the classical one, but a low number of logical qubits (ca. 20) may be sufficient to see quantum advantage already.
Impact of electron correlations on the k-resolved electronic structure of PdCrO2 revealed by Compton scattering
Authors: James A D N , Billington D , Dugdale S B 
Published: May 2023

Abstract
Delafossite PdCrO2 is an intriguing material which displays nearly-free electron and Mott insulating behaviour in different layers. Both angle-resolved photoemission spectroscopy (ARPES) and Compton scattering measurements have established a hexagonal Fermi surface in the material’s paramagnetic phase. However, the Compton experiment detected an additional structure in the projected occupancy which was originally interpreted as an additional Fermi surface feature not seen by ARPES. Here, we revisit this interpretation of the Compton data. State-of-the-art density functional theory (DFT) with dynamical mean field theory (DMFT), the so-called DFT+DMFT method, predicts the Mott insulating state along with a single hexagonal Fermi surface in excellent agreement with ARPES and Compton. However, DFT+DMFT fails to predict the intensity of the additional spectral weight feature observed in the Compton data. We infer that this discrepancy may arise from the DFT+DMFT not being able to correctly predict certain features in the shape and dispersion of the unoccupied quasiparticle band near the Fermi level. Therefore, a theoretical description beyond our DFT+DMFT model is needed to incorporate vital electron interactions, such as inter-layer electron coupling interactions which for PdCrO2 gives rise to the Kondo-like so-called intertwined excitation.
Mapping charge-transfer excitations in Bacteriochlorophyll dimers from first principles
Authors: Hashemi Zohreh , Knodt Matthias , Marques Mario R G , Leppert Linn 
Published: May 2023

Abstract
Photoinduced charge-transfer excitations are key to understand the primary processes of natural photosynthesis and for designing photovoltaic and photocatalytic devices. In this paper, we use Bacteriochlorophyll dimers extracted from the light harvesting apparatus and reaction center of a photosynthetic purple bacterium as model systems to study such excitations using first-principles numerical simulation methods. We distinguish four different regimes of intermolecular coupling, ranging from very weakly coupled to strongly coupled, and identify the factors that determine the energy and character of charge-transfer excitations in each case. We also construct an artificial dimer to systematically study the effects of intermolecular distance and orientation on charge-transfer excitations, as well as the impact of molecular vibrations on these excitations. Our results provide design rules for tailoring charge-transfer excitations in Bacteriochloropylls and related photoactive molecules, and highlight the importance of including charge-transfer excitations in accurate models of the excited-state structure and dynamics of Bacteriochlorophyll aggregates.
Effect of glycerin on mechanical properties of a hybrid kenaf-jute polyester composite
Authors: Maruthi Prashanth B H , Gouda P S Shivakumar , Manjunatha T S , Navaneeth I M , Chethan K M 
Published: May 2023

Abstract
Natural-based composites are gaining popularity among composite makers and end users because of their biocompatibility, low cost, and abundance. The influence of Glycerin as a plasticizer in various percentages ranging from 3% to 12% on Tensile, Flexural, Impact, Inter-laminar Shear Strength (ILSS), and Hardness characteristics of a Kenaf-Jute hybrid polyester composite, which is fabricated using hand layup followed by hot press method, was investigated in the present study. It was observed that a 6% Glycerin concentration in polyester Kenaf-Jute composite outperformed other composites in Tensile, Flexural, and Impact strengths in the range of 2 to 73%. This is evident by analyzing SEM images that better physical bonding between the Kenaf-Jute fibers with modified polyester resin using Glycerin. As the Glycerin content in the composite increases, the Hardness decreases when compared to without glycerin polyester.
Deep Learning for Epidemiologists: An Introduction to Neural Networks
Authors: Serghiou Stylianos , Rough Kathryn 
Published: May 2023

Abstract
Deep learning methods are increasingly being applied to problems in medicine and health care. However, few epidemiologists have received formal training in these methods. To bridge this gap, this article introduces the fundamentals of deep learning from an epidemiologic perspective. Specifically, this article reviews core concepts in machine learning (e.g., overfitting, regularization, and hyperparameters); explains several fundamental deep learning architectures (convolutional neural networks, recurrent neural networks); and summarizes training, evaluation, and deployment of models. Conceptual understanding of supervised learning algorithms is the focus of the article; instructions on the training of deep learning models and applications of deep learning to causal learning are out of this article’s scope. We aim to provide an accessible first step towards enabling the reader to read and assess research on the medical applications of deep learning and to familiarize readers with deep learning terminology and concepts to facilitate communication with computer scientists and machine learning engineers.