bluuebunny/crossref_metadata_2025_split huggingface dataset:
Traffic Participant Classification Method Based on Decision Tree for Point Cloud Data Detected by Event Camera
Authors: Zhang Yu , Liu Haiqing 
Published: May 2023

Abstract
Event camera has the advantage of accurately identifying moving targets while being insensitive to stationary targets, which makes up for the lack of traditional video streaming camera and has a wide range of applications in the field of traffic flow detection. In this paper, a traffic participant classification method based on a decision tree for point cloud data acquired by an event camera in a roadside installation scenario is proposed. For traffic identification, 5 basic features to describe the geometrical and quantitative characteristics, and 8 Gaussian projection features to describe the point distribution characteristics are extracted and analyzed. Furthermore, the CART decision tree is used to identify four kinds of traffic participants, including the large vehicle, the compact vehicle, the non-motor vehicle, and the pedestrian. By modulating parameters of the maximum layer and feature weighting values, the proposed method can reach equilibrium in generalization ability and accuracy. Experimental results show that the proposed method demonstrates high accuracy of 97.49% in target participant classification.
Identification of Airport Similar Days Based on K-prototype Cluster and Grey Correlation Analysis
Authors: Zhu Xuhao , Dong Xiangning , Wang Shuce , Zhang Junrui 
Published: May 2023

Abstract
Considering similar air traffic control techniques for the present based on close historical dates is a good approach due to the unpredictability of weather and air traffic, as well as to increase controller efficiency. A K-prototype clustering technique and grey correlation analysis are proposed to discover similar days to address the problem of similar identification. Firstly, the weather and air traffic datasets are used to create a set of features broken down into numerical and categorical attributes. Secondly, the historical data are clustered using the K-prototype clustering, which is then paired with grey correlation analysis to identify days similar to the reference day and examine the traffic management initiatives employed on that day. Finally, the research uses actual weather information and aircraft schedules from Nanjing Lukou International Airport as examples. The outcomes demonstrate that the similar days picked by the model are representative and can serve as a foundation for airport controllers' decision-making.
Research on the Scheme Comparison of Xuzhou Urban Rail Transit Network Based on Network Form
Authors: Chen Pei-wen 
Published: May 2023

Abstract
The traditional urban rail network planning scheme comparison lacks the advantages and disadvantages of different schemes from the perspective of network form. In this paper, from the perspective of network form, a comparison scheme of urban rail transit network planning is proposed. Based on graph theory and complex network theory, this paper proposes quantitative indicators from the aspects of network development level, network form, and structure efficiency, and constructs an index system for comparing rail transit planning schemes. Taking Xuzhou urban rail transit planning network as an example, this paper analyzes the comparison between the two planning schemes and the original planning scheme. The results show that there are some differences among the three schemes in basic indexes and macro characteristic indexes. From the perspective of network form, scheme II is the best, the scheme I is the second, and both are optimized to the previous scheme.
Dynamic Risk Analysis of Intelligent Navigation Process Based on Dynamic Bayesian Network
Authors: Liu Qixin , Bai Xu , Luo Xiaofang , Yang Li , Li Yongzheng , Wang Ke 
Published: May 2023

Abstract
With the rise and development of the concept of autonomous ships, autonomous ships have become a research hotspot in the field of international maritime and transportation. The intelligent navigation system has attracted much attention as a typical function of autonomous ships. During navigation, new risks are inevitable due to the separation from human control, so carrying out a dynamic risk analysis is of great significance. This paper is based on the risk influencing factors and typical risk events during navigation. Then, the Dynamic Bayesian Network model is established by using risk factors and typical risk events, and the risk value of each risk factor is determined. It is substituted into the model to calculate and predict the current and future risk values.
The Development of Solid-state Pulse Generator based on Marx Circuit with Chopping Switch
Authors: Luo Xiaoxiao , Wang Qian , Du Mingming , Long Yingkai , Jiang Xiping 
Published: May 2023

Abstract
A solid-state pulse source is mainly formed by replacing the spark switch in a traditional pulse source with semiconductor switch device. Compared with conventional gas switch devices such as spark switches, semiconductor switch devices have the advantages of high work repetition frequency, long service life, small size, high efficiency, high reliability, easy control, and active shutdown. However, there are still problems, such as the solid-state switch being easily broken down by high voltage, the rising and falling edges of the pulse being slow, and the loss is enormous. In this paper, a solid-state pulse generator based on Marx with a chopping switch circuit is developed, which effectively solves the above problems. The pulse generator comprises DC power, a switching power circuit, a Marx circuit with a chopping switch, a serial port touch screen, and an optical fiber transmission circuit.
Robust actuator based on photothermally responsive hydrogel with fast recovery capability
Authors: Hou Guodong , Zhang Feiyu , Qian Xiaoshi 
Published: May 2023

Abstract
Propulsion by deformation and oscillation is a familiar law of motion in nature. Often, these motions are signaled and driven by constant external conditions, such as the phototropism of plants. Here, we have prepared a soft photosensitive material utilizing ice templates and cryo-polymerization, which combines light absorbers and thermally responsive hydrogels and thus possesses superb photothermal conversion, mechanical deformation, and fast recovery capabilities. The soft actuator based on this material generates a dynamically balanced oscillation with intermittent shadows creating a continuous self-feedback loop, allowing the actuator to operate continuously and durably under constant illumination. Combining the modules of conjugate heat transfer, non-isothermal flow, and fluid-solid coupling, we have gained a deeper understanding of the interaction of the soft actuator with the temperature and flow fields. In the future, the soft actuator can be widely developed and combined with other conventional drive strategies in an attempt to apply in soft robotics, underwater operations, and other fields.
Highly efficient electrocaloric device based on composite materials with excellent heat transfer performance
Authors: Li Qiang , Du Feihong , Han Donglin , Qian XiaoShi 
Published: May 2023

Abstract
Electrocaloric (EC) cooling technology is known for its efficiency and simplicity of the electricity-driving method. However, there still are many challenges and problems, i.e., the poor heat transfer of EC materials (polymers), and the limited electrocaloric temperature change, which result in the limited cooling efficiency and/or cooling power of the EC cooling prototypes. The lack of EC device with high cooling performance poses challenging obstacles for the industrial deployment of the EC cooling technology. In this work, we demonstrated that the fabrication of P(VDF-TrFE-CFE) nanocomposites with BaZr0.2Ti0.8O3 (BZT) particles is an efficient way to improve the heat transfer of EC materials without compromising EC capability. In order to valid the positive effect of developing the EC device rather than provide a pure material study, we developed a solid-fluid coupling EC cooling machine numerically. The introduction of BZT composites allows EC refrigeration devices to exhibit a good COP while maintaining a relatively high total cooling power (>150 W) when the temperature span is 10 K. Therefore, the composites exhibit great potential of ECE for future cooling applications.
Shared Energy Storage Configuration Optimization Method of Regional Energy System Based on Electric and Thermal Demand Response
Authors: Hou Ligang , Tang Xianghua , Wang Dong 
Published: May 2023

Abstract
In the new energy power system, the main applications of energy storage technology include power peak shaving, suppressing the fluctuation of transmission power, improving the stability of power system operation, and improving the power quality. The energy storage device can timely absorb or release power, effectively reduce the transmission network loss of the system, realize peak shaving and valley filling, and obtain economic benefits. Therefore, the significance of energy storage technology is very important. The use of all kinds of energy cannot be separated from the support of energy storage technology, but the traditional energy storage technology fails to optimize the configuration, resulting in low overall energy storage efficiency. Due to the low response degree of the traditional shared energy storage configuration method of the regional energy systems and the waste of resources caused by the large energy consumption of energy storage devices, the shared energy storage configuration optimization method of the regional energy systems based on electric and thermal demand response is researched. The electric heating demand response model is established to store heat and electricity, and the energy is reasonably utilized to meet the electric heating demand response. The distributed photovoltaic regional energy model is established to control the equipment and reduce the active and reactive power loss, and the cloud shared energy storage is used to optimize the configuration and reduce the cost to complete the optimization of the shared energy storage configuration of the regional energy system responding to the electric heating demand. The experimental results indicate that the proposed method has the highest energy storage capacity saving rate, realizes the efficient conversion of energy resources, reduces energy waste, and realizes the effective optimization of shared energy storage configuration in the regional energy systems.
Two-phase switched reluctance motor drive control system design
Authors: Li Guicai , Yang Junlong , Yang Jiahao , Su Zixuan , Ma Siyuan 
Published: May 2023

Abstract
The two-phase switching reluctance motor drive control system uses STM8S003F3 as the control chip to realize the control function. The hardware circuit is mainly composed of switched reluctance motor controller power and relay control circuit based on an asymmetric half-bridge circuit, a drive circuit module based on IR2101S, a rotor detection module based on a photoelectric sensor, current detection and protection circuit based on Hall current sensor, power supply circuit based on the multi-integrated chip. The control system has been significantly improved in safety and reliability.
Optimal Design of Planetary Reducer of Electric Actuator base on NSGA-II
Authors: Long Hu , Zeng Xiangming 
Published: May 2023

Abstract
To solve the problem of equipment installation space shortage in industrial automation sites, a set of hybrid transmission schemes was designed with a two-stage 2K-H(NGW) planetary reducer as the main transmission mechanism combined with a fixed shaft gear train and worm gear and worm mechanism. At the same time, to obtain the design parameters of the electric actuator more quickly and accurately, with the minimum volume and maximum efficiency of the main transmission mechanism as the design objectives, the multi-objective function mathematical model is established under the conditions of meeting the gear matching, displacement coefficient, strength, and overlap degree, and the non-dominated sorting genetic algorithm II (NSGA-II) is used to solve the mathematical model. The research results show that the volume of the main transmission mechanism is reduced by 13.6%, the transmission ratio is increased by 1.54%, but the transmission efficiency is reduced by 3.32% when the strength and life of the gear are equal.
Research on Transformer Partial Discharge Feature Extraction Based on Empirical Wavelet Transform and Multiscale Permutation Entropy
Authors: Feng Tao , Liu Chun-sheng , Xu Ao , Wang Chao-hui , Wang Feng-min , Liu Xin , Su Sen-tao 
Published: May 2023

Abstract
Aiming to extract efficiently the fault features of partial discharge in the process of fault diagnosis of power transformer, a method of combining Empirical Wavelet Transform (EWT) with Multiscale Permutation Entropy (MPE) is advanced to extract fault features of transformers partial discharge. Firstly, four different partial discharge pulse signals are analyzed by EWT method, and the fault signal is decomposed according to different frequency domain characteristics of the signal to obtain the intrinsic mode function (IMF) of the signal. Then, the calculated multi-scale permutation entropy of different IMFs to complete the fault feature extraction. Finally, the multi-scale entropy of the fault semaphore is used as the eigenvector of the Support Vector Machine (SVM) for glitch diagnosis, and the accurate systematization of the partial discharge semaphore of the transformer is realized. semaphore Compared with the Continuous Wavelet Transform (CWT), Empirical Mode Decomposition (EMD), and Ensemble Empirical Mode Decomposition (EEMD) feature extraction way, it shows that the raised EWT-MPE is more valid and accurate in diagnosing and analyzing transformer partial discharge faults, and the accuracy of fault classification 96.43%.
Variable Gate Resistance Drive Circuit Based on di/dt Feedback for IGBT
Authors: Yan Wenyi , Liu Tingzhang , Lv Liangliang , Fan Ruijie 
Published: May 2023

Abstract
To overcome the rigid control of the classical drive method which used fixed resistance to drive IGBT, a variable gate resistance drive method was proposed. This method detected the change rate of collector current through the parasitic inductor of the IGBT module, and the closed-loop feedback was used to control this rate of change. All the expressions between voltage overshoot , overcurrent and di/dt were derived. Based on these expressions, the di/dt feedback control was designed. The feedback circuit selected gate resistances with different resistance values to drive IGBT in various stages of the turn-on and off process. According to the simulation analysis, both switching time and loss were reduced ultimately. The current peak and overvoltage were controlled effectively, and the switching performance was improved.
Simulation of Electric Vehicle Regenerative Braking Control Strategy Based on Brake Intention Recognition
Authors: Jia Qiyang , Tang Peng 
Published: May 2023

Abstract
The development of regenerative braking technology for a pure electric vehicle is the key technology to solving the current limited range of the electric vehicle. Accurately identifying the driver’s braking intent is fundamental to controlling the braking system of an electric vehicle.A brake intent recognition controller is designed in this paper, which is based on a lot of driving data and fuzzy principles. In addition, two typical regenerative brake control strategies are compared. The simulation results of Matlab/Simulink and AMESim show that the SOC of the power battery increases obviously at different braking intensities of 30 km/h. Besides, energy recovery is up to 20.5%, and battery energy increases by 6.5 wh.
Single-phase energy-fed AC electronic load based on DQ current decoupling
Authors: Li Zhenhai , He Zhongxi , Jiang Luxian , Zou Jiayun , Tong Youwei 
Published: May 2023

Abstract
The single-phase pulse width modulation (PWM) converter is the main research object to realize single-phase AC electronic load. To achieve high-quality energy feedback, this paper studies the topology of the PWM rectifier, the mathematical model of DQ current decoupling control, SOGI-PLL phase-locked model analysis, and the energy feedback unit with bipolar SPWM inversion to 50 Hz sinusoidal AC. The scheme is simulated and validated by Matlab/Simulink. The simulated characteristic unit can simulate resistive, inductance, and capacitive loads. The energy feedback unit can verify the stability, high efficiency, and practicability of the scheme with 50 Hz sinusoidal AC feedback.
Advanced micro- & nanostructuring for enhanced biocompatibility of stainless steel by multi-beam and beamshaping technology
Authors: Hauschwitz P , Klicova M , Mullerova S , Bicistova R , Prochazka M , Brajer J , Chyla M , Smrž M , Chvojka J , Mocek T 
Published: May 2023

Abstract
Biocompatibility is one of the key issues for implants, especially in the case of stainless steel with medium to low biocompatibility, which may lead to a lack of osseointegration and consequently to implant failure or rejection. To precisely control preferential cell growth sites and, consequently, the biocompatibility of prosthetic devices, two types of surfaces were analyzed, containing periodic nanogrooves laser induced periodic surface structure (LIPSS) and square-shaped micropillars. For the fast and efficient production of these surfaces, the unique combination of high energy ultrashort pulsed laser system with multi-beam and beamshaping technology was applied, resulting in increased productivity by 526% for micropillars and 14 570% for LIPSS compared to single beam methods. In vitro analysis revealed that micro and nanostructured surfaces provide a better environment for cell attachment and proliferation compared to untreated ones, showing an increase of up to 496% in the number of cells compared to the reference. Moreover, the combination of LIPSS and micropillars resulted in a precise cell orientation along the periodic microgroove pattern. The combination of these results demonstrates the possibility of mass production of functionalized implants with control over cell organization and growth. Thus, reducing the risk of implant failure due to low biocompatibility.
Preparation and characterization of a biocompatible glucose-sensitive electrospun nanofibers scaffolds containing dexamethasone with enhanced osteogenic properties in vitro high glucose environment
Authors: Jia Yongliang , Liu Junyu , Tan Ziwei , Liu Jiajia , Meng Xiangjie , Luo Dongmei , Fu Xinyu , Hou Ruxia , Li Peiwen , Chen Yurou , Wang Xiangyu 
Published: May 2023

Abstract
Diabetes has made it challenging to repair alveolar bone defects. A successful method for bone repair utilizes a glucose-sensitive osteogenic drug delivery. This study created a new glucose-sensitive nanofiber scaffold with controlled dexamethasone (DEX) release. DEX-loaded polycaprolactone/chitosan nanofibers scaffolds were created using electrospinning. The nanofibers had high porosity (>90%) and proper drug loading efficiency (85.51 ± 1.21%). Then, glucose oxidase (GOD) was immobilized on the obtained scaffolds by a natural biological cross-linking agent, genipin (GnP), after soaking in the mixture solution containing GOD and GnP. The enzyme properties and glucose sensitivity of the nanofibers were investigated. The results showed that GOD was immobilized on the nanofibers and exhibited good enzyme activity and stability. Meanwhile, the nanofibers expanded gradually in response to the increase in glucose concentration, followed by the release of DEX increased. The phenomena indicated that the nanofibers could sense glucose fluctuation and possess favorable glucose sensitivity. In addition, the GnP nanofibers group showed lower cytotoxicity in the biocompatibility test compared with a traditional chemical cross-linking agent. Lastly, the associated osteogenesis evaluation found that the scaffolds effectively promoted MC3T3-E1 cells’ osteogenic differentiation in high-glucose environments. As a result, the glucose-sensitive nanofibers scaffolds offer a viable treatment option for people with diabetes with alveolar bone defects.
Jammed microgel growth medium prepared by flash-solidification of agarose for 3D cell culture and 3D bioprinting
Authors: Sreepadmanabh M , Ganesh Meenakshi , Bhat Ramray , Bhattacharjee Tapomoy 
Published: May 2023

Abstract
Although cells cultured in three-dimensional (3D) platforms are proven to be beneficial for studying cellular behavior in settings similar to their physiological state, due to the ease, convenience, and accessibility, traditional 2D culturing approaches are widely adopted. Jammed microgels are a promising class of biomaterials extensively suited for 3D cell culture, tissue bioengineering, and 3D bioprinting. However, existing protocols for fabricating such microgels either involve complex synthesis steps, long preparation times, or polyelectrolyte hydrogel formulations that sequester ionic elements from the cell growth media. Hence, there is an unmet need for a broadly biocompatible, high-throughput, and easily accessible manufacturing process. We address these demands by introducing a rapid, high-throughput, and remarkably straightforward method to synthesize jammed microgels composed of flash-solidified agarose granules directly prepared in a culture medium of choice. Our jammed growth media are optically transparent, porous, yield stress materials with tunable stiffness and self-healing properties, which makes them ideal for 3D cell culture as well as 3D bioprinting. The charge-neutral and inert nature of agarose make them suitable for culturing various cell types and species, the specific growth media for which do not alter the chemistry of the manufacturing process. Unlike several existing 3D platforms, these microgels are readily compatible with standard techniques such as absorbance-based growth assays, antibiotic selection, RNA extraction, and live cell encapsulation. In effect, we present a versatile, highly accessible, inexpensive, and easily adoptable biomaterial for 3D cell culture and 3D bioprinting. We envision their widespread application not just in routine laboratory settings but also in designing multicellular tissue mimics and dynamic co-culture models of physiological niches.
Decreasing trend of tropical cyclone-induced ocean warming in recent decades
Authors: Shi Ruizi , Zhang Qinya , Xu Fanghua , Zhang Xueyang , Lin Yanluan , Zhang Jishi 
Published: May 2023

Abstract
Tropical cyclones (TCs) can influence climate by pumping heat into the ocean, yet little is known about how the TC-induced ocean heat uptake (OHU) has changed in recent decades. Based on ocean reanalysis, we calculated OHU and found a significant decline of TC-induced OHU from 1982 to 2018. If all the ocean heat gain is balanced by poleward heat transport, approximately 15% of peak ocean heat transport would have been reduced during the study period. The decreasing trend of OHU is consistent with the enhanced ocean stratification, the shallowed mixed layer depth and the reduced cold wake size. The reduction of OHU primarily occurs in the Northwest Pacific, where the shortened TC lifespan contributes as well. Furthermore, the decline of OHU might offset about 28% of the upper ocean warming in the subtropical Northwest Pacific.