bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic Control System of Manipulator Clamping Angle Based on Machine Vision
Authors: Ren Zhong , Zhang Tieshan 
Published: April 2023

Abstract
In order to shorten the time it takes for the manipulator components to reach the preset position and avoid the behavior state of excessively increasing the gripping angle, an automatic control system for the gripping angle of the manipulator based on machine vision is designed. According to the motion state of the mechanical components of the gripper, the connection sensitivity of the angular position sensor is controlled, and then the tension and pressure control structure is used to complete the on-demand adjustment of the clamping force action form and realize the construction of the application platform environment of the hardware structure of the automatic control system. On this basis, by grabbing the necessary manipulator operation image, following the principle of machine vision, completing the preprocessing, and then combining the kinematic functions to perform the force control switching operation and realizing the gripping force control based on machine vision, and completing the design and application of the automatic control system for the gripping angle of the manipulator. The experimental results show that when the motor driving speed is equal to 2000 PPS,4000 PPS, and 6000 PPS, the consumption time required for the manipulator components to reach the preset position will not exceed 9.5s. Compared with the double closed-loop control system, it is more in line with the application requirements of effectively controlling the behavior of the clamping angle.
Development Status of Space Vector Pulse Width Modulation (SVPWM) Control Method for Multi-Level Inverter
Authors: Zhang Guangyu 
Published: April 2023

Abstract
Inverter has played an important role in power electronics technology since its invention. The traditional 2-level inverter is most widely used due to its simple structure, but it cannot meet the needs of high-voltage and high-power fields anymore. Thus, three-level and multi-level inverters are invented. Although complicated in structure, these two kinds of inverters can output larger voltage, and the voltage distortion rate and the ripple current are smaller. The emergence of different modulation methods also makes up for the defects of multi-level inverters. The improvement and simplification of the control algorithm of space vector pulse width modulation (SVPWM) make multi-level control less complicated. This paper introduces the current status and trends of SVPWM.
Design of AGV Chassis Motion Control System Based on MWorks
Authors: Zhang Dongyang , Zhu Zhixu , Zhang Hualiang 
Published: April 2023

Abstract
With the mature and extensive application of robotics, task-based mobile robots for special environments and high-risk tasks are also gaining more and more attention. To make the task-based mobile robots achieve more precise and difficult work, then, it is particularly important to achieve precise and stable control of the AGV. Therefore, by establishing a mathematical model of AGV and conducting a kinematic analysis, we design a control system that can make AGV achieve stable and accurate motion. The experimental simulation, separated from the traditional foreign simulation software MATLAB, is based on the domestic independently developed virtual simulation experiment environment MWorks. Sysplorer validated the control algorithm and virtual model AGV by digital twinning.
Research on Utility Calculation Method of Pumped Storage Participating in Peak-Shaving Market
Authors: Chen Zhe , Xu Danlei , Geng Lin , Chen Haoxuan , Hao Siyu , Zhuang Baisong 
Published: April 2023

Abstract
With the advancement of the “dual carbon” goal, the proportion of renewable energy in the system has increased significantly. The peak-shaving problem brought about by it has become increasingly significant. As an important flexible power resource, a pumped storage power station has good technical characteristics such as fast response speed, fast ramp rate, and large capacity. However, pumped storage also has problems such as difficult construction, long construction period, and high construction cost. Therefore, it is the current research focus to accurately evaluate the peak-shaving utility of pumped storage for the power system and then rationally plan the construction of pumped storage and fully optimize the utilization of pumped storage. This paper proposes a set of utility evaluation methods for pumping and storage peak regulation through the simulation of the power system and the power market. It can accurately evaluate the utility of pumping storage and peak shaving in various ways to participate in the peak shaving market. Through calculation examples, it can be concluded that when pumping storage participates in the market in an on-demand scheduling mode, the environmental and economic benefits are better than those brought by the load-side response.
Research on Cloud-Edge-Terminal function configuration based on differentiated low-voltage intelligent distribution network
Authors: Xiang Yingyu , Hu Haoqing , Fang Qian , Liu Hongwen , Cheng Tianze 
Published: April 2023

Abstract
At the present, more than 30 low-voltage intelligent distribution rooms have been built in Yunnan Power Grid, covering incoming cabinets, distribution substations, low-voltage switches and environmental monitoring, etc. The intelligent distribution rooms use the Cloud-Edge-Terminal architecture model for intelligent management, monitoring and control of low-voltage distribution rooms but there are generally problems such as low level of heterogeneous data application, insufficient correlation analysis capability, fault location. However, there are problems such as low level of heterogeneous data application, insufficient correlation analysis capability, inaccurate fault location, excessive network load, insufficient sensing capability of sensing terminals and unreasonable configuration. Based on the application model of low-voltage intelligent distribution network of Yunnan power grid, Our paper intends to summarize the experience and methods to support operation and maintenance, fault repair and customer service and study the differentiated low-voltage intelligent distribution Cloud-Edge-Terminal solution to improve the efficiency of intelligent distribution network operation and maintenance.
Multi Agent Interaction Mechanism of Intelligent Network Connection for Interaction Between EV and Power Grid
Authors: Xi Yanjun , Ji Yang , Zhang Xuze , Zhang Jian , Wang Qiang , Meng FanJie 
Published: April 2023

Abstract
As a new type of flexible load, the charging behavior of electric vehicles is random and intermittent in space and time, which puts forward higher requirements for the safe, stable grid operation and power quality. When a large-scale electric vehicle charging load is connected to the power grid, its disordered charging behavior will also bring adverse effects to the power system. From the perspective of charging behavior, the gradual increase of devices such as electric vehicles and charging piles have formed the Internet of Electric Vehicles, power distribution network, and charging equipment Internet of Things. At the same time, more and more charging loads are connected to the grid, and the charging behavior also contains a lot of load information on the grid side. These data are fused through the server, which can provide an economical and reasonable charging strategy for the charging behavior of electric vehicles on the regional grid side.
Cyber-Physical Architecture of Intelligent Interaction Between Electric Vehicle and Power Grid
Authors: Xi Yanjun , Zhang Xuze , Meng Fanjie , Zhang Jian , Wang Qiang , Ji Yang 
Published: April 2023

Abstract
With the increasing penetration rate of electric vehicles, their charging is random and intermittent in space and time, which put forward higher requirements for the safe, stable operation and power quality of the power grid. The information flow and energy flow exist at the same time in the vehicle pile network linkage, and the degree of integration of the three is also getting higher and higher. Based on the hierarchical architecture of cyber-physical system, the fusion model for V2G is established, which is helpful to study relevant strategies to minimize the impact of electric vehicle charging and discharging on the main power grid.
A new indirect measurement method of the electron temperature for the Proto-sphera's pinch plasma
Authors: Iannarelli D. , Napoli F. , Alladio F. , Apruzzese G. , Bombarda F. , Buratti P. , Delfini J. , De Ninno A. , Filippi F. , Fiorucci D. , Ingenito A. , Mannori S. , Micozzi P. , Teofilatto P. 
Published: April 2023

Abstract
This article presents a new method for estimating the electron temperature of the Proto-sphera's screw pinch. The temperature radial profile is obtained by a self-consistent modeling of a 1D MHD equilibrium along with a 0D power balance of the plasma column, given measurements and estimates of the axial pinch plasma current, of the plasma rotational frequency and, at the equatorial plane, of the electron density radial profile, of the edge poloidal magnetic field, of the edge electron temperature and of the neutrals pressure in the vacuum vessel. The plasma is considered in equilibrium with its neutral phase and in constant rotation. A MATLAB code has been developed with the aim of estimating the MHD radial equilibrium profiles, the thermodynamic plasma state and the neutrals profile. The numerical estimates are compared with available experimental data showing a good agreement.
Deformable 3D medical image registration with convolutional neural network and transformer
Authors: Deng Liwei , Zou Yanchao , Huang Sijuan , Yang Xin , Wang Jing 
Published: April 2023

Abstract
Deformable registration of medical images based on deep
learning has been the research focus this year. Convolutional Neural
Network (CNN) and the transformer are the most common backbone and
have been shown to enhance registration accuracy. However, CNN lacks
the ability to contact long-distance information, and the
transformer lacks the ability to capture local
information. Whichever subtle feature loss may lead to disastrous
consequences in the analysis of clinical medicine. This paper
presented a novel registration network named Information
Complementation Network (ICN). We aim to improve the registration
accuracy by complementing the lost information. Pure transformers
can establish long-distance spatial information about the
image. Proposed meshing patch embedding can minimize the loss of
local information and expand the receptive field to extract
long-distance information. The dual-path decoder in ICN is designed
to restore information furthest. We experimented on 3D brain MRI
data and quantitatively compared several excellent registration
models. Compared with conventional methods, the dice coefficient
increased by 3%. Compared with the advanced methods, the dice
coefficient increased by 1%. The number of foldings was reduced by
about 50% without any loss of registration accuracy. Each
evaluation metric of the trained models on liver CT images was
higher than other methods. By fully complementing the lost or
invalid information, ICN achieved higher registration accuracy and
smoother deformation field. The innovation and contribution of this
paper have the potential to be applied to clinical research or
medical image processing.
Over 7200 hours commissioning of RF-driven negative hydrogen ion source developed at CSNS
Authors: Chen W. , Li H. , Lü Y.J. , Cao X.X. , Liu S.J. , Xiao Y.C. , Liao H. , Xue K.J. 
Published: April 2023

Abstract
The China Spallation Neutron Source project Phase-II
(CSNS-II) aims to deliver a proton beam of 500 kW on the tungsten
target. To accomplish this goal, an RF-driven negative hydrogen ion
source was developed to replace the penning ion source used in
CSNS-I. The RF-driven ion source has been put into commissioning on
CSNS accelerator since September 8th, 2021. And it was
shut down on July 26th, 2022, together with the whole
accelerator for the annual maintenance in summer. In this run cycle
it has accumulated service time of over 7200 hours without major
maintenance. The availability of the ion source is above 99.99%,
except for one or two sparks per day of the 50 kV high voltage
platform, each spark causing 1 second trip of the accelerator. The
RF-driven ion source has an external antenna winding around a
silicon nitride plasma chamber, which is quite robust in high
duty-factor operation. In this paper, we present the structure of
the ion source, the improvements over other ion sources, and the
issues met in the commissioning.
A hybrid 3D/2D field response calculation for liquid argon detectors with PCB based anode plane
Authors: Martynenko S. , Pietropaolo F. , Viren B. , Qian X. , Chen H. , Gao S. , Gu W. , Jo J. , Kettell S. , Li Y. , Liu H. , Nayak N. , Yu B. , Yu H. , Zhang C. , Kose U. , Resnati F. , Tufanli S. , Boran F. , Dolek F. 
Published: April 2023

Abstract
Liquid Argon Time Projection Chamber (LArTPC) technology is commonly utilized in neutrino
detector designs. It enables detailed reconstruction of neutrino events with high spatial
precision and low energy threshold. Its field response (FR) model describes the time-dependent
electric currents induced in the anode-plane electrodes when ionization electrons drift nearby. An
accurate and precise FR is a crucial input to LArTPC detector simulations and charge
reconstruction. Established LArTPC designs have been based on parallel wire planes. It allows
accurate and computationally economic two-dimensional (2D) FR models utilizing the translational
symmetry along the direction of the wires. Recently, novel LArTPC designs utilize electrodes
formed on printed circuit board (PCB) in the shape of strips with through holes. The translational
symmetry is no longer a good approximation near the electrodes and a new FR calculation that
employs regions with three dimensions (3D) has been developed. Extending the 2D models to 3D would
be computationally expensive. Fortuitously, the nature of strips with through holes allows for a
computationally economic approach based on the finite-difference method (FDM). In this paper, we
present a new software package pochoir that calculates LArTPC field response for these new
strip-based anode designs. This package combines 3D calculations in the volume near the electrodes
with 2D far-field solutions to achieve fast and precise field response computation. We apply the
resulting FR to simulate and reconstruct samples of cosmic-ray muons and 39Ar decays from a
Vertical Drift (VD) detector prototype operated at CERN. We find the difference between real and
simulated data within 5%. Current state-of-the-art LArTPC software requires a 2D FR which we
provide by averaging over one dimension and estimate that variations lost in this average are
smaller than 7%.
Overestimated global dryland expansion with substantial increases in vegetation productivity under climate warming
Authors: Liu Ziwei , Wang Taihua , Yang Hanbo 
Published: April 2023

Abstract
Drylands are serviced as an essential component of the earth’s ecosystem. The potential changes in dryland areas are of great importance to the environment, but various debates remain as to whether and to what extent drylands are expected to expand. Here we employ a physically-based potential evapotranspiration (E
P) model accounting for vegetation response to climate change to quantify potential changes in dryland areas, on the basis of a commonly used indicator, aridity index (multiyear mean E
P over precipitation). Results show that by the end of this century, drylands will expand slightly by ∼5%, while vegetation productivity will increase by ∼50%. Elevated CO2 slows down the increase rate of E
P that impedes the expansion of drylands, but greatly promotes vegetation growth with increases in both leaf assimilation and canopy foliage. These findings improve our understanding of the potential changes in dryland and their ecological impacts in a warmer climate.
Generalized virial theorem for contact Hamiltonian systems
Authors: Ghosh Aritra 
Published: April 2023

Abstract
We formulate and study a generalized virial theorem for contact Hamiltonian systems. Such systems describe mechanical systems in the presence of simple dissipative forces such as Rayleigh friction, or the vertical motion of a particle falling through a fluid (quadratic drag) under the action of constant gravity. We find a generalized virial theorem for contact Hamiltonian systems which is distinct from that obtained earlier for the symplectic case. The ‘contact’ generalized virial theorem is shown to reduce to the earlier result on symplectic manifolds as a special case. Various examples of dissipative mechanical systems are discussed. We also formulate a generalized virial theorem in the contact Lagrangian framework.
Survival probability of the Grover walk on the ladder graph
Authors: Segawa E , Koyama S , Konno N , Štefaňák M 
Published: April 2023

Abstract
We provide a detailed analysis of the survival probability of the Grover walk on the ladder graph with an absorbing sink. This model was discussed in Mareš et al (2020 Phys. Rev. A
101

032113), as an example of counter-intuitive behaviour in quantum transport where it was found that the survival probability decreases with the length of the ladder L, despite the fact that the number of dark states increases. An orthonormal basis in the dark subspace is constructed, which allows us to derive a closed formula for the survival probability. It is shown that the course of the survival probability as a function of L can change from increasing and converging exponentially quickly to decreasing and converging like L
−1 simply by attaching a loop to one of the corners of the ladder. The interplay between the initial state and the graph configuration is investigated.
Double scaling limits of Dirac ensembles and Liouville quantum gravity
Authors: Hessam Hamed , Khalkhali Masoud , Pagliaroli Nathan 
Published: April 2023

Abstract
In this paper we study ensembles of finite real spectral triples equipped with a path integral over the space of possible Dirac operators. In the noncommutative geometric setting of spectral triples, Dirac operators take the center stage as a replacement for a metric on a manifold. Thus, this path integral serves as a noncommutative analogue of integration over metrics, a key feature of a theory of quantum gravity. From these integrals in the so-called double scaling limit we derive critical exponents of minimal models from Liouville conformal field theory coupled with gravity. Additionally, the asymptotics of the partition function of these models satisfy differential equations such as Painlevé I, as a reduction of the KDV hierarchy, which is predicted by conformal field theory. This is all proven using well-established and rigorous techniques from random matrix theory.
Volatolomics analysis of exhaled breath and gastric-endoluminal gas for distinguishing early upper gastrointestinal cancer from benign
Authors: Xiang Chengfang , Yang Hang , Zhao Zhongjun , Deng Fulong , Lv Yantong , Yang Yanting , Duan Yixiang , Li Wenwen , Hu Bing 
Published: April 2023

Abstract
Exhaled breath and gastric-endoluminal gas (volatile products of diseased tissues) contain a large number of volatile organic compounds, which are valuable for early diagnosis of upper gastrointestinal (UGI) cancer. In this study, exhaled breath and gastric-endoluminal gas of patients with UGI cancer and benign disease were analyzed by gas chromatography-mass spectrometry (GC-MS) and ultraviolet photoionization time-of-flight mass spectrometry (UVP-TOFMS) to construct UGI cancer diagnostic models. Breath samples of 116 UGI cancer and 77 benign disease subjects and gastric-endoluminal gas samples of 114 UGI cancer and 76 benign disease subjects were collected. Machine learning (ML) algorithms were used to construct UGI cancer diagnostic models. Classification models based on exhaled breath for distinguishing UGI cancer from the benign group have area under the curve (AUC) of receiver operating characteristic curve values of 0.959 and 0.994 corresponding to GC-MS and UVP-TOFMS analysis, respectively. The AUC values of models based on gastric-endoluminal gas for UGI cancer and benign group classification are 0.935 and 0.929 corresponding to GC-MS and UVP-TOFMS analysis, respectively. This work indicates that volatolomics analysis of exhaled breath and gastric-endoluminal diseased tissues have great potential in early screening of UGI cancer. Moreover, gastric-endoluminal gas can be a means of gas biopsy to provide auxiliary information for the examination of tissue lesions during gastroscopy.
A comparative study of conventional FRET and light harvesting properties of Rh-110/Rh-6G and Rh-19/Rh-B organic dye pairs impregnated in sol-gel glasses
Authors: Mahato Kapil Dev , Kumar Uday 
Published: April 2023

Abstract
Two different pairs of laser dyes, Rhodamine-110 (Rh-110)/Rhodamine-6G (Rh-6G) and Rhodamine-19 (Rh-19)/Rhodamine-B (Rh-B) (the first dye in each pair as a donor and the second as an acceptor) were impregnated in silica samples prepared by the sol-gel method and spectroscopically studied using absorption and steady-state fluorescence techniques. The critical transfer distance (R0), actual distance (r) between the donor and acceptor, overlap integral [J(

υ
¯

)], FRET (fluorescence resonance energy transfer) efficiency (E), and antenna effect efficiency (AE) were investigated in detail based on the variation in acceptor concentration. The FRET efficiency, antenna effect efficiency, and actual donor-acceptor distance for Rh-110/Rh-6G and Rh-19/Rh-B dye pairs corresponding to acceptor concentration ranges (3.83 to 7.65) × 10−5 M l−1 and (3.71 to 8.34) × 10−5 M l−1, respectively, were found to be in the ranges of 57.38% to 74.89%, 36.97% to 24.13%, 5.44 nm to 4.77 nm, and 77.01%. Furthermore, maximum FRET efficiencies of 85.68% and 87.63% and antenna effect efficiencies of 36.97% and 40.95% for Rh-110/Rh-6G and Rh-19/Rh-B, respectively, were also reported. Our results demonstrate the superior FRET efficiency of Rh-19/Rh-B over Rh-110/Rh-6G dye pair in sol-gel glasses, while the antenna effect efficiency of Rh-110/Rh-6G is higher than that of Rh-19/Rh-B for the same donor to acceptor (D/A) ratio. Finally, Rh-110/Rh-6G is a better energy harvester than the Rh-19/Rh-B dye pair at the common D/A ratio. These results are explained in terms of molecular structure similarity, polarity, and rigidity of donor and acceptor.
3D fluid model analysis on the generation of negative hydrogen ions for negative ion source of NBI
Authors: XING Siyu , GAO Fei , ZHANG Yuru , WANG Yingjie , LEI Guangjiu , WANG Younian 
Published: April 2023

Abstract
A radio-frequency (RF) inductively coupled negative hydrogen ion source (NHIS) has been adopted in the China Fusion Engineering Test Reactor (CFETR) to generate negative hydrogen ions. By incorporating the level-lumping method into a three-dimensional fluid model, the volume production and transportation of H− in the NHIS, which consists of a cylindrical driver region and a rectangular expansion chamber, are investigated self-consistently at a large input power (40 kW) and different pressures (0.3–2.0 Pa). The results indicate that with the increase of pressure, the H− density at the bottom of the expansion region first increases and then decreases. In addition, the effect of the magnetic filter is examined. It is noteworthy that a significant increase in the H− density is observed when the magnetic filter is introduced. As the permanent magnets move towards the driver region, the H− density decreases monotonically and the asymmetry is enhanced. This study contributes to the understanding of H− distribution under various conditions and facilitates the optimization of volume production of negative hydrogen ions in the NHIS.