bluuebunny/crossref_metadata_2025_split huggingface dataset:
Point feature correction based rolling shutter modeling for EKF-based visual-inertial odometry
Authors: Zhang Kaijie , Zhang Menglong 
Published: October 2023

Abstract
The application of consumer-grade rolling-shutter (RS) cameras in visual inertial odometry (VIO) systems deserves attention. In previous works, VIO systems with RS cameras usually adopt different dimensions of RS modeling to represent the camera motion. Although the complex camera motion expression improves accuracy, adding more variables greatly increases the computation load. Therefore, considering the limitations of camera motion modeling, this paper introduces a point feature correction strategy to improve the performance of the system in terms of both speed and accuracy. The optimized camera poses and high-frequency inertial measurement unit (IMU) are employed to correct the point features in the RS image to new pixel coordinates in the global shutter view (in the middle of the RS image readout time) by epipolar transfer. At the same time, we handle the zero velocity and abnormal cases of RS modeling to improve the robustness of the system. Furthermore, the readout time of the RS camera is self-calibrated online during the state augmentation stage and can quickly converge and stabilize to near the true value. The readout time of the RS camera is locally observable, except for two degenerate motions. Experimental results demonstrate that the proposed method outperforms the state-of-the-art methods on a public dataset in terms of accuracy and computational cost. We port our algorithm to an Android-based mobile phone and our system outputs real-time trajectories on the mobile phone. Then, we use the motion capture system to obtain the ground truth phone pose to test the performance of our algorithm.
Pollution-free interface of 2D-MoS2/1D-CuO vdWs heterojunction for high-performance photodetector
Authors: Yang Hui , Luo Ruiqin , Shi Kaixi , Li Jinhua , Xu Mingze , Chu Xueying , Zhai Yingjiao , Qu Guannan , Fang Xuan 
Published: October 2023

Abstract
Van der Waals heterostructures provide a new opportunity for constructing new structures and improving the performance of electronic and optoelectronic devices. However, the existing methods of constructing heterojunctions are still faced with problems such as impurity introduction, or complex preparation process and limited scope of application. Herein, a physisorption method is proposed to composite CuO nanorods on the surface of MoS2 nanosheets. CuO nanorods and MoS2 form type-Ⅱ heterojunctions, which promotes the separation and transport of photo-generated charge carriers. More importantly, compared with the transfer and coating methods, the physical adsorption method avoids the introduction of auxiliary materials during the whole process of constructing the heterojunction, and therefore effectively reduces the damage and pollution at the interface. The optimized MoS2/CuO heterojunction photodetector achieves a high photoresponsivity of ∼680.1 A W−1 and a fast response speed of ∼29 μs. The results demonstrate that the physisorption method provides a feasible approach to realize high performance photodetectors with pollution-free interfaces, and it can also be extended to the development of other low-dimensional hybrid heterojunction electronic and optoelectronic devices.
The Kuramoto model on dynamic random graphs
Authors: Groisman Pablo , Huang Ruojun , Vivas Hernán 
Published: October 2023

Abstract
We propose a Kuramoto model of coupled oscillators on a time-varying graph, whose dynamics are dictated by a Markov process in the space of graphs. The simplest representative is considering a base graph and then the subgraph determined by N independent random walks on the underlying graph. We prove a synchronisation result for solutions starting from a phase-cohesive set independent of the speed of the random walkers, an averaging principle and a global synchronisation result with high probability for sufficiently fast processes. We also consider Kuramoto oscillators in a dynamical version of the random conductance model.
Influence of sex on the reliability of cerebral blood velocity regulation during lower body negative pressure and supine cycling with considerations of the menstrual cycle
Authors: Johnson Nathan E , Burma Joel S , Seok Jina , Miutz Lauren N , Smirl Jonathan D 
Published: October 2023

Abstract

Objective. To evaluate sex differences in the reliability of absolute and relative cerebral blood velocity (CBv) during concurrent supine cycling with lower body negative pressure (LBNP). Approach. A total of 19 participants (11 females; aged 20–33 years) completed five testing sessions, occurring on 7 d intervals. Visit 1 was a maximal-ramp-cycle test to ascertain peak CBv wattage. During visits 2–5, supine cycling protocol occurred at individualized peak CBv wattages with progressive decreases in LBNP from 0 to −20, −40, −60, −70, and −80 Torr. Menstrual cycle day was self-reported via the Rhinessa Women’s Questionnaire. Transcranial Doppler ultrasound insonated bilateral middle cerebral artery velocity (MCAv). Two-way ANOVA assessed potential day- and sex-differences at each LBNP stage. Reliability was determined using intraclass correlation coefficients (ICC) and coefficient of variation (CoV). Main results. For all physiological measures, no main-effects were present for day- or interaction-terms (p > 0.067; negligible-to-small effect sizes), while sex differences were noted for MCAv, blood pressure, and heart rate (p < 0.046). Across visits, males and females displayed excellent and good-to-excellent levels of reliability for MCAv metrics, respectively (ICC range: 0.745–0.999; CoV range: 0.33%–9.90%). Significance. During the current investigation, both relative and absolute CBv demonstrated high reliability in both male and female participants during a supine LBNP cycling protocol. An exploratory analysis revealed increased variance was found in female participants dependent on contraceptive use. Despite this, results indicate future LBNP studies may include females at any menstrual cycle stage.
Full cycle, self-consistent, two-dimensional analysis of a packed bed DBD reactor for plasma-assisted
CO2
splitting: spatiotemporal inhomogeneous, glow to streamer to surface discharge transitions
Authors: Kourtzanidis K 
Published: October 2023

Abstract
We investigate the full-cycle operation of a coaxial Packed Bed Dielectric Barrier Discharge (PB-DBD) reactor operating in pure

C

O

2

. The reactor is packed with high permittivity dielectric rods and is analyzed with a two-dimensional (2D) self-consistent plasma model. We show that the PB-DBD operation is governed by both glow and volume/surface streamer discharges, forming alternatively and non-uniformly inside the gas volume. The presence and surface charging of the dielectric rods and dielectric layer is crucial for the initiation, propagation, annihilation and afterglow of these microdischarges. Our calculations show maximum electron and

C

O

2

+

densities in the order 1020 m−3, an average discharge power of 353.42 W m−1 in the first cycle, microdischarge peak currents in the order of 50–400 A m−1, total half-cycle plasma charge of around 6 µC m−1, which compare well with experimental findings. Dominant negative ions are found to be

C

O

3

−

. CO molecules and O atoms are mainly formed during the MDs development and the streamer-surface ionization waves. Molecular oxygen (

O

2

) is preferentially formed during the glow, current-decaying and afterglow phase of each microdischarge. The spatially average reduced electric field inside the reactor lies in the 20–100 Td range. Each MD, presents distinct non-uniform and non-repeatable glow and volume/streamer discharges owed to the non-uniform surface charging processes which dictate the complex spatial distribution of produced neutral (and ion) species. These detailed results shed light on crucial, largely non-uniform plasma spatiotemporal characteristics that can help design efficient PB-DBD reactors for

C

O

2

splitting and beyond, while emphasizing the important insights obtained by 2D simulations which can not be captured with 0D-global or 1D models.
Experimental validation of particle-in-cell/Monte Carlo collisions simulations in low-pressure neon capacitively coupled plasmas
Authors: Park Chan-Won , Horváth B , Derzsi A , Schulze J , Kim J H , Donkó Z , Lee Hyo-Chang 
Published: October 2023

Abstract
Plasma simulations are powerful tools for understanding fundamental plasma science phenomena and for process optimisation in applications. To ensure their quantitative accuracy, they must be validated against experiments. In this work, such an experimental validation is performed for a one dimensional in space and three dimensional in velocity space particle-in-cell simulation complemented with the Monte Carlo treatment of collision processes of a capacitively coupled radio frequency plasma driven at 13.56 MHz and operated in neon gas. In a geometrically symmetric reactor the electron density in the discharge centre and the spatio-temporal distribution of the electron impact excitation rate from the ground into the Ne 2p1 level are measured by a microwave cutoff probe and phase resolved optical emission spectroscopy, respectively. The measurements are conducted for electrode gaps between 50 mm and 90 mm, neutral gas pressures between 20 mTorr and 50 mTorr, and peak-to-peak values of the driving voltage waveform between 250 V and 650 V. Simulations are performed under identical discharge conditions. In the simulations, various combinations of surface coefficients characterising the interactions of electrons and heavy particles with the anodised aluminium electrode surfaces are adopted. We find, that the simulations using a constant effective heavy particle induced secondary electron (SE) emission coefficient of 0.3 and a realistic electron–surface interaction model (which considers energy-dependent and material specific elastic and inelastic electron reflection, as well as the emission of true SEs from the surface) yield results which are in good quantitative agreement with the experimental data.
Characterization of PECVD Si3N4 thin film in multiple oxide–nitride stack for 3D-NAND flash memory
Authors: Baek Jaekeun , An Surin , Park Ahhyun , Kim Ki-Yeon , Hong Sang Jeen 
Published: October 2023

Abstract
3D-NAND flash memory is currently essential in the semiconductor industry due to the interference issue between memory cells of the conventional planar type. In order to vertically stack the memory, an oxide–nitride stack structure is formed using plasma enhanced chemical vapor deposition (PECVD) equipment. Thereafter, part of the silicon nitride (Si3N4) layer is removed by wet etching using phosphoric acid (H3PO4) to make space for the memory cell. At this time, it is important to selectively wet etch only the Si3N4 film while protecting the silicon oxide (SiO2). Therefore, in this study, the process parameters that affect the etch rate in PECVD were derived, and the correlation with the hydrogen content, surface roughness, and thin film density, which are the thin film characteristics that the parameters affect, were investigated. Through the experimental results, we confirmed that hydrogen content increases according to the deposition pressure, affects the surface roughness, and can be an important factor in improving the wet etching rate.
Exploration of origin and breaking mechanism of pseudospin symmetry in relativistic point-coupling model with similarity renormalization group
Authors: Huang Bo , Guo Jian-You , Liu Quan , Chen Shou-Wan 
Published: October 2023

Abstract
The pseudospin symmetry (PSS) is an important physical concept in atomic nuclei. The relativistic point-coupling model is first used to explore the origin and breaking mechanism of PSS in real nuclei with 208Pb as an illustrated example. PSS observed in the single particle spectra of heavy nuclei is reproduced in the present calculation. The influences of the different point-coupling interactions on PSS are investigated, it is found that the four-fermion scalar and vector couplings play a dominate role at PSS. The quality of PSS depends on the competition of four-fermion scalar and vector couplings. Those the PSS is better for the weakly bound levels and the energy splittings are more sensitive to the interaction strengths for the deeply bound levels are well explained in terms of the derivative of Σ potential with r. In combination with the similarity renormalization group, the origin and breaking mechanism of PSS are clarified.
The use of ICT for mathematical calculations in the water quality assessment in the teaching of ecologists
Authors: Shakhman I O , Bystriantseva A M 
Published: October 2023

Abstract
Research goal of the paper is the demonstration of computer technology integration in the modern educational process of teaching ecologists in practical classes on assessing the quality of water in water bodies, containing mathematical calculations. The use of modern information computer technologies in education will effectively contribute to the acquisition of a range of knowledge and skills on methods for water quality assessing in the field of water use and protection of water resources. The ability to use ICT will provide the ecologists with the ability to respond quickly to changes in the environment and make effective decisions in environmental management in future production activities.
The use of GIS in renewable energy specialist’s learning
Authors: Zinovieva I S , Iatsyshyn Anna V , Artemchuk V O , Stanytsina V V , Sheludchenko L S , Popov O O , Kovach V O , Iatsyshyn Andrii V 
Published: October 2023

Abstract
In recent years, the global trend has been to gradually shift from traditional energy sources to renewable ones, with the aim of improving the environment and preventing climate change. Geographic Information Systems (GIS) are technologies that enhance the efficiency of these renewable energy resources (RER). Modern GIS provides a wide range of functionalities for the entire decision-making process. For instance, in solar power generation, GIS can address challenges such as remote monitoring of sites designated for solar power plants and evaluating their suitability. It also enables effective management of information on station operations, real-time electricity production and distribution, and planning and management of energy production resources. As GIS continues to evolve, scientists and energy professionals are discovering more applications in the RER field. However, it’s crucial to focus on training highly skilled specialists in RER to ensure GIS becomes a truly effective management tool in their professional activities. Research indicates that most student training programs in RER worldwide do not sufficiently cover GIS studies, particularly open-source software. To address this gap, the authors have developed a targeted plan for incorporating GIS into RER specialist training. The goal of this course is to familiarize future engineers with the theoretical, methodological, and technological foundations of GIS creation and operation. It also aims to help students understand the general principles of operation and acquire practical skills in using GIS to solve applied problems. The authors emphasize the importance of laboratory work, particularly using SagaGIS, to develop skills in working with raster and vector images, geospatial data analysis and decision-making, working with cartographic models and remote sensing data, and applying geoinformation methods to create structural, parametric, and thematic digital maps. The authors suggest using open GIS in training to facilitate a quality understanding for future RER specialists on the processes of creating, operating, and using GIS for real-world applications.
Artificial intelligence in a modernizing science and technology education: a textual narrative synthesis in the COVID-19 era
Authors: Pacala F A A 
Published: October 2023

Abstract
The COVID-19 pandemic shifted the mode of learning to online. This gave the artificial intelligence (AI) developers the reason to increase its usage and production to every detail of the teaching learning process. This synthesis paper was intended to capture these new technologies in the last five years. Using the textual narrative analysis approach and course design triangle model, this paper looked into the AI integration in the field of science and technology education. A total of 15 studies were analyzed and synthesized coming from different journal hosting platforms such as Google Scholar, ERIC, Elsevier, etc. The results have shown that there is indeed a wider utilization of AI in various aspects of the teaching and learning process. These were seen in the learning activities, presentation translators, marking, feedbacking, predicting average score, and intelligent tutoring system. These AI technologies have proven to positively affect the learning of the students and helped the teachers along the process. Furthermore, there is a need to totally synthesize these AI systems which can be beneficial to a wider technical audience.
Dynamic scheduling of hydrogen-containing integrated energy systems considering multi-energy transactions
Authors: Wang Yiqing , Wu Chong , Gao Hailong 
Published: October 2023

Abstract
With the continuous development of hydrogen energy production and storage technology, hydrogen energy has gradually become one of the clean energy sources with acceptable cost. The hydrogen decarbonization process of natural gas pipeline transportation and its end energy units such as fuel cells is gradually accelerated. For this reason, considering a variety of energy markets, this paper establishes the operation scheduling model of the integrated energy system (IES) of combined cooling, heating, and power (CCHP) supply with the solid oxide fuel cell (SOFC) as the core which is compared with the traditional gas turbine cogeneration system in the economy and carbon emission reduction and introduces the model predictive control (MPC) algorithm to solve the rolling optimal scheduling scheme. The scheduling results show that the addition of hydrogen conversion units can effectively solve the phenomenon of light abandonment. Under the current energy price, when the proportion of photovoltaic (PV) installed capacity is greater than 0.33, the energy storage potential of hydrogen conversion units can be fully utilized and the economic benefits of SOFC co-production are better than gas turbines. After taking into account the high carbon emission factor of the power grid, there is no big difference in the carbon emission costs of the two cogeneration methods. When the carbon emission factor of the power grid is lower than 0.3 and the hydrogen production efficiency is higher than 75%, the carbon emission reduction benefits of SOFC have obvious advantages.
Effect of intrinsic layer structure parameters on PIN homogeneous junction InGaN solar cells
Authors: Yang Linfeng , Cao Wei 
Published: October 2023

Abstract
This article examines the importance of indium gallium nitride (InGaN) homo junction solar cells in advancing high-efficiency or multi-junction solar batteries. The influence of indium composition and intrinsic layer with different thicknesses and carrier densities of PIN homo junction InGaN solar battery and its internal mechanism was studied. According to the research results, as the thickness gradually expands, the conversion efficiency of the battery increases first, and there is almost no change after the thickness reaches 0.3 μm; as the electron doping concentration of the intrinsic layer enhances, the conversion efficiency of the battery first rises to a certain extent and then begins to decline. Under the appropriate indium composition, the efficiency of the solar cell can be significantly increased to 24.6% by selecting the appropriate intrinsic layer thickness and doping concentration.
Optimal Power Source Configuration of Independent Microgrid Based on Natural Resource Evaluation
Authors: Zhu Zhifang , Lin Zihan , Dong Hong , Gao Yanna , Hu Liujun , Zeng Fanhong 
Published: October 2023

Abstract
Power source configuration is an important stage of independent microgrid planning, which guarantees the economic and reliable operation of the microgrid system. The type and capacity of power source for the independent microgrid are affected by the factors such as load level, geographical location, wind, solar, water, and other natural resources. This paper analyzed the characteristics of natural resources in different regions. The index evaluation system of wind, solar, and hydropower resource was constructed, and the fuzzy evaluation method was proposed to evaluate the wind-solar-hydropower resource. Considering the power supply reliability and environmental friendliness, the optimization model of the microgrid power source was established with the objective of minimum comprehensive generation cost and the power and energy balance as constraints. Generative Adversarial Networks (GANs) were applied to simulate the uncertainty of wind, solar, and hydropower output and generate multiple operation scenarios of independent microgrids. The improved method for the K-Medoids clustering algorithm was studied to reduce the number of operational scenarios and enhance computational efficiency. Finally, an example was presented to illustrate the analysis processes and verify the feasibility and rationality of the proposed method. The wind-solar-hydropower resource levels of 30 provinces in China were obtained, and five representative regions were selected. The power source configuration scheme of an independent microgrid in these regions was proposed, which provided a reference for independent microgrid planning.
Design of a High Speed Electro-optic Q-switch Circuit for Aerospace Applications
Authors: Zhang Chao , Shi Zhicheng , Liu Xuefeng , Chen Huanhong , Zhang Ai 
Published: October 2023

Abstract
In order to meet the requirements of high amplitude and high speed of electro-optic Q-switch voltage, a high speed electro-optic Q-switch circuit for aerospace applications is designed. According to the principle of Marx generator, the circuit uses a high speed driving chip to drive the switching transistor to conduct. The charge of the primary energy storage capacitor of the pulse transformer is quickly released, and the secondary induced voltage drives the switches of the Marx generator to open quickly and synchronously. By utilizing the fast and synchronous opening of MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor), cascaded discharge is carried out on the energy storage capacitors of the 8th order Marx generator circuit, thereby outputting high voltage pulse signal. The experimental results show that the Marx generator has maximum boost output range of 4000V and high voltage pulse rise time of less than 30ns. Compared to traditional pulse transformer control methods, the Q-switch voltage rise time is reduced by nearly 40ns. The internal components of circuit meet the requirements of multiple indicators such as anti-irradiation space environment, and have the characteristic of short output high voltage rise time, which can provide high speed and high voltage driving pulses for the electro-optic Q-switch crystal inside the laser cavity.
Vehicle-based LIDAR for Lane Line Detection
Authors: Wang Hangyan , Liu Qinghua , Liu Zhenfei 
Published: October 2023

Abstract
A lane line detection method based on adaptive thresholding of raster map is proposed for assisting driving by fitting lane lines in the process of automatic driving in ports. Firstly, the original laser point cloud is divided into regions of interest to retain the point clouds containing lane lines as well as to remove irrelevant point clouds. Secondly, the raster map is divided based on the intensity of the point cloud, and the ground points are filtered as well as the point cloud of the lane line part is retained. Then the lane lines are segmented by adaptive thresholding for the retained grid, and finally RANSAC is used to fit the lane lines. The experiments prove that the method can extract the lane line features well.