bluuebunny/crossref_metadata_2025_split huggingface dataset:
A collaborative optimal allocation method for thermal power-energy storage considering system operating costs
Authors: Deng Xiaodong , Li Juan , Zhou Ye , Liu Lili 
Published: December 2023

Abstract
Energy storage is an important way to solve the problems of system power support and new energy consumption. Based on the installed scale of various power sources and load forecast results in the planning year, the power balance calculation of typical methods is used to provide the basis for the calculation of the volume ratio relationship of thermal energy and energy storage. Then, a model is established for the relationship between thermal energy and energy storage to obtain a variety of thermal energy and energy storage installed capacity combinations. This paper proposes a system operation cost objective function to compare the annual cost and new energy consumption rate of thermal energy and energy storage. The aim is to obtain a combination of energy storage and thermal energy that meets the new energy consumption level of the system and has a relatively reasonable annual operation cost. This paper proposes a collaborative optimal allocation method for thermal energy and energy storage that takes into account the system operating costs. It will help guide the development of power resources in the region in the medium to long term and ensure the load supply requirements and power regulation capacity of the power system.
Unit Commitment Considering Long-term Supply Risk of Natural Gas Pipeline Network
Authors: Lin Jianing , Xu Lizhong , Sun Ke , Tang Qiwen , Zhou Ziqing 
Published: December 2023

Abstract
As the coupling degree of the natural gas pipeline network (NGPN) and the power system increase, unreliable gas supply risk related to random failures in NGPN has threatened the operation security of the power system. However, present studies seldom discuss the effect of natural gas supply reliability on power system operation. In this manner, a stochastic unit commitment model is presented with the consideration of long-term gas supply risk in NGPN. Firstly, with the combination of the Monte Carlo simulation (MCS) technique and the maximum-flow algorithm, the failure scenario set corresponding to gas supply risk can be obtained. Then, a two-stage model for unit commitment is established considering gas supply uncertainty based on the stochastic optimization model. Finally, case studies have shown that the power operation reliability has been improved with the increased reliability indices.
Optical Cable Fault Diagnosis and Auxiliary Decision-making Based on Knowledge Graph
Authors: Li Yang , Li Can , Wang Ying , Guo Xiaoxi , Li Li , Ma Jingya 
Published: December 2023

Abstract
The operational status of power communication optical cables is directly related to the safety of power transmission lines and communication systems. Traditional cable maintenance modes face challenges in fault localization. This article proposes a platform for optical cable fault diagnosis and decision support, which is constructed at three levels: the data layer, ontology layer, and application layer. The key aspect of this platform is the utilization of a knowledge graph to map the status of the cable system. The method proposed in this article effectively addresses the pain points of traditional maintenance modes.
Modelling and Simulation Analysis of the Fuel Cell Hybrid Propulsion System
Authors: An Zuxu , Jia Huidong , Yang Guogang , Li Shian , Shen Qiuwan 
Published: December 2023

Abstract
Under the pressure of global energy shortage and severe environmental pollution, using new energy in ships will become the mainstream direction of future development. Compared to traditional single fossil fuels, the hybrid system composed of clean energy improves overall cleanliness. Hybrid power design has also attracted widespread attention in academia and industry. Therefore, this article introduces a hybrid propulsion system for ships. It combines Proton-exchange membrane cell (PEMFC) and cell. A simulation model for the propulsion system of hybrid electric ships was established in the MATLAB/SIMULINK simulation environment. It analyzes the ship’s operating speed and power under different operating conditions and allocates the operating power to the hybrid power system through an energy control strategy. Finally, it compares and analyzes the optimization potential and methods of hybrid power systems. The results indicate that the modeling method and energy management strategy used in this article can effectively simulate the load changes and energy allocation of ships under different operating conditions, improving the stability and efficiency of fuel cells.
Three-dimensional Visualization of Overhead Transmission Lines with UAV-LiDAR Point Cloud Data
Authors: Li Dongbo , Lan Guiwen , Huang Hanqiang , Wei Jia , Zhou Fengfan 
Published: December 2023

Abstract
Three-dimensional reconstruction and visualization of overhead transmission lines is an important foundation for grid operation and maintenance management. This paper introduces a 3D visualization method of transmission lines based on the unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) technology, which includes four steps: (I) Using UAV-LiDAR technology to obtain 3D point cloud data of power lines; (II) Using the least-squares method with loss minimization constraints to fit the point cloud data of the power lines, to obtain the accurate fitting function of the power lines; (III) Using the spline interpolation algorithm to draw the 3D scene in the 3D vectors, and combine with building information modeling (BIM) model to construct the transmission line visualization scene. The method of this paper can improve the authenticity and reliability of transmission line simulation and provide technical support for the digital platform of power grid management.
Communication Energy Optimization of UAV-assisted WSN Data Transmission
Authors: Liu Hao , Chen Renwen , Jiang Zihao , Ding Shanshan , Liu Fei , Zhang Junyi 
Published: December 2023

Abstract
Unmanned aerial vehicle (UAV)-assisted wireless sensor network (WSN) data transmission is a hot topic of research in recent years. This article mainly focuses on the energy consumption optimization of WSN data transmission with the assistance of UAVs. First, we established a communication coverage model for UAV-WSN and derived the energy consumption of data transmission for UAV-WSN, determining the optimal number of cluster heads (CHs) under different UAV flight heights. Second, we built a model for the energy consumption of WSN data transmission and the UAV flight height, and determined the optimal flight height of the UAV, while also dividing the UAV task area into segments. Then, we proposed a model that dynamically optimized the UAV data collection position according to the CH location, which can further reduce the energy consumption of CHs during data transmission. Finally, we used simulation experiments to verify the feasibility and effectiveness of our proposed scheme.
Research on multi-source information collaborative anti-interference technology
Authors: Zhang Jingxi , Du Shuang , Pan Xiangyu , Wang Jiaqi , Wen Yingqian 
Published: December 2023

Abstract
This paper focuses on addressing the slow recognition speed and tracking deviation issues in anti-infrared operations. It proposes a method that utilizes multi-source information from the infrared seeker and carrier data link to combat interference. The paper analyses existing methods and expands upon them by investigating full-dimensional motion information correlation. The interference recognition effect is compared across different approaches. The paper further simulates and compares the anti-interference effects of various strategies under different interference conditions, considering recognition speed, accuracy rate, and guidance precision. Overall, the paper investigates anti-infrared interference strategies, addresses existing drawbacks, and provides valuable insights for air counter-measures through simulation-based comparisons.
Analysis and Modeling of Line Width of Aerosol Printing based on Image Processing
Authors: Liu Yingjie , Yuan Shunteng , Zhang Yuanming 
Published: December 2023

Abstract
This article proposes a method for calculating the line width of aerosol printing based on image processing and analyzes the line width results obtained using this method, aiming to establish an accurate mathematical model between parameters and line width. This article conducts experiments using carrier gas and sheath gas as parameters in aerosol printing and uses an industrial camera to characterize the printed lines. The line images are processed in MATLAB to obtain high-precision printed line widths. Analyzing the line width data after image processing, it was found that the line width increased with the increase of carrier gas and decreased with the increase of sheath gas. Then, using the discovered regularity, mathematical relationships between sheath gas and line width, and carrier gas and line width are established. The calculation method of print line width used in this article is highly accurate and efficient and establishes a functional relationship analysis model that can accurately describe the relationship between variables and line width, guiding printing-specific line widths.
Research on DL-TDOA Positioning Performance Optimization in Tunnel Scenarios
Authors: You Xin , Tian Daxin , Gao Wenbao , Lu Jinghui , Xue Jinyin 
Published: December 2023

Abstract
High-precision vehicle positioning is a necessary condition for realizing intelligent transportation and autonomous driving, and positioning information is one of the basic elements to ensure the security of the Internet of Vehicles business. Aiming at the high-precision positioning requirements of tunnel scenarios, the DL-TDOA technology is analysed and optimized in this paper. First, the non-line-of-sight (NLOS) error suppression algorithm is optimized, then the influence of the deployment vertical and horizontal distance ratio of base station nodes on the positioning accuracy in the actual deployment is analysed, and finally, the clock accuracy and output frequency of the device are improved. Through the optimization above, the positioning accuracy of DL-TDOA technology in the tunnel environment can be enhanced, and the application effect can be improved.
Path Planning for Road Congestion Problems Based on the A* Algorithm
Authors: Xuan Wenjing , Ding Yanyan 
Published: December 2023

Abstract
The application of path planning serves as a significant instance of intelligent algorithm technology innovation, integrating intelligent science, smart technologies, and industrialization. Its core capability lies in achieving optimal solutions for routes through algorithms, offering people improved navigation paths. Currently, path planning technology has become a focal point of research both domestically and internationally. This paper proposes enhancements to the A* algorithm. By incorporating a heuristic function, the A* algorithm efficiently improves its computational effectiveness, thereby furnishing users with enhanced route planning. In this work, the improved A* algorithm is employed to address issues of road congestion and path planning. Through refining the storage heap structure of the A* algorithm and optimizing Hash table indexing, preprocessing of traffic environment data is performed. Subsequently, data simulation is executed. Based on simulation experiment data and preprocessing of road conditions, the results demonstrate that the enhanced A* algorithm offers accurate information.
Performance comparison based on priority between 802.11p and C-V2X
Authors: Wu Yueyue , Zhang Juan 
Published: December 2023

Abstract
With the increasing number of vehicles, the issue of traffic safety has become more and more prominent. There is a growing demand for real-time vehicle monitoring and vehicle-to-vehicle communication, which has led to the rapid development of connected car technology. Currently, the two mainstream wireless access technologies that support vehicle-to-everything (V2X) communication are Dedicated Short-Range Communications (DSRC) and Cellular-V2X (C-V2X) or LTE-V2X. This paper aims to compare the performance of these two technologies by studying two types of information, Cooperative Awareness Messages (CAM) and Decentralized Environmental Notification Messages (DENM), as well as the prioritization defined for C-V2X. Additionally, this paper compares the prioritization of 802.11p with different priority levels of C-V2X. Through simulation experiments, it is ultimately proven that 802.11p outperforms C-V2X in terms of latency but is inferior to C-V2X in terms of collision probability.
A Routing Algorithm Based on Software-Defined Computing First Network
Authors: Bai ChenChen , Gong XiaoMing , Ren ShuangYin , Xu Tianji , Wang JingChao 
Published: December 2023

Abstract
With the continuous development of mobile Internet technology, new services and applications appear, such as AR/VR, Internet of Vehicles, and Ultra HD Video. They not only require higher network bandwidth resources but also need more computing resources to ensure normal operation and user experience. As a new network technology, computing first network promotes the deep integration of distributed computing resources and networks to make efficient use of these resources. This paper proposes a computing power routing algorithm based on software-defined computing first network (SD-CFN) architecture. It comprehensively considers computing resources and available bandwidth resources of network links. Experimental results show that compared with the nearby scheduling strategy, the proposed computing power routing algorithm can better allocate computing resources to services. Moreover, it can improve the utilization rate of computing resources and provide optimal bandwidth resources in the process of service transmission.
A 330-GHz Radial Power Division/Combination Network Based on Circularly Polarized TE11 Mode
Authors: Yu Menglong , Yan Yu , Gong Zehui , Zhang Yaxin , Zhang Bo , Zhang Yong 
Published: December 2023

Abstract
To compensate for severe mode interference and machining difficulties above the W-band of the traditional radial power combining scheme, a radial power division/combination network based on circularly polarized (CP) TE11 mode is designed. Firstly, the amplitude and phase distribution of the branches of a radial power divider under the excitation of CP mode are analyzed. The amplitudes of each branch are approximately equal, and the phase increases/decreases with equal differences. Therefore, a radial power divider with 16 branches based on a septum circular polarizer (SCP) is designed. An orthogonal cascade structure (OCS) and a parallel cascade structure (PCS) are proposed, and it is concluded that to obtain higher transmission efficiency, OCS and PCS should be used respectively when the phase or amplitude difference of SCP is worse. Finally, the power divider and a microstrip probe transition structure are cascaded back-to-back by using OCS, and the power division/combination network is obtained. Simulation results show that at 310-360 GHz, the amplitude difference of the branches of the power divider is less than ±0.35 dB; the combining efficiency of the power division/combination network is greater than 90%. This network has the advantages of single-mode operation, simple structure, and high combining efficiency. In addition, this article provides a feasible solution to the problem of depolarization loss caused by the cascade of SCPs.
Firmware implementation of a displaced muon reconstruction algorithm for the Phase-2 Upgrade of the CMS muon system
Authors: Leguina P. 
Published: December 2023

Abstract
Displaced muons serve as a crucial indicator of novel physics extending beyond the standard model. Several theoretical frameworks posit the existence of muons with extended lifetimes, which can materialize through collisions at the LHC. This study presents the firmware implementation of an algorithm to reconstruct displaced muons using the Overlap Muon Track Finder (OMTF) of the CMS Level-1 Trigger System (L1T) targeting the High Luminosity Large Hadron Collider (HL-LHC). The firmware response is evaluated at the simulation level, comparing the results with those of the emulator, and then the algorithm is implemented on an FPGA.
Study on damage and cracking of Mg-Gd-Y-Ag-Zr alloys during rolling based on experimental and finite element method
Authors: Ning Huiyan , Wang Xiaohong , Xu Li , Yao Chuanxin , Ye Haowei , Bi Fengyang 
Published: December 2023

Abstract
Edge cracking, a common issue encountered during the rolling of magnesium alloys, holds substantial importance in determining the success of subsequent finishing processes. It serves as a pivotal parameter for evaluating the formability of rolled plates. In this particular investigation, researchers concentrated on understanding the behavior of edge cracks within the solid solution magnesium alloy designated as Mg-10Gd-3Y-2Ag-0.4Zr (expressed in weight percentage as GWQ1032K). To support this analysis, one delved into the thermal rheological characteristics of the magnesium alloy and established a mathematical relationship connecting rheological stress, strain rate, and temperature. This served as the foundation for a constitutive model tailored to the alloy. Furthermore, practical rolling experiments were conducted to examine how reductions in thickness influenced the morphology of edge cracks in rolled plates. The study also explored shifts in stress–strain behavior and microstructural changes during the deformation process. The results highlighted the substantial impact of compression levels on the magnesium alloy’s anisotropic behavior, subsequently influencing the shape of the resultant plate and the stress–strain characteristics observed during deformation. Significantly, as the rolling reduction increased, a notable increase in heat generation due to the plastic deformation of the magnesium alloy plate was observed. This heightened heat played a key role in dynamic recrystallizationand and facilitating the formation of the brittle Mg5(RE, Ag) phase. Consequently, minimizing the generation of this brittle phase emerged as a critical factor in effectively managing and controlling edge cracks in the rolling process.
Determining tolerant tomato genotypes to salt stress according to physiological and morphological manner
Authors: Eynizadeh Peyman , Ravari Seid Zabihallah , Moradi Mohammad , Dehghani Ali , Dehghani Hamid 
Published: December 2023

Abstract
The tomato (Solanum lycopersicum L.) is an annual vegetable cultivated all over the world. It faces biotic and abiotic stresses, such as salinity, in arid and semiarid regions. Investigating the relationship between physiological and economic traits, such as fruit yield, under stress conditions is necessary to identify tolerant genotypes. This study was conducted to identify tolerant tomato families according to the relationship between several important physiological, morphological and phenological traits. Twenty S3 families were cultivated in a factorial experiment (factor1: families and factor2: normal conditions and salinity stress) based on a randomized complete block design with three replications in 2019. Twenty physiological, agronomic and fruit-quality-related traits were investigated. Analysis of variance was used to prove the existing effective genetic diversity. Genetic diversity and the relationships between traits were graphically shown using heatmap clustering. Finally, genetic parameters, such as Pearson’s correlation, trait stability index and heritability were used to calculate the mathematical value of families using the Modified Analytical Hierarchy Process. Families exhibited different behaviours under normal and stress conditions. The tolerant families responded physiologically to the salt stress. Therefore, they reduced both cell membrane degradation and photosynthesis disruption by increasing proline, lycopene, carotenoid and sugar content. Therefore, fewer reductions in morphological traits were observed in these families. The most important traits based on the selection strategy were lycopene content, K+/Na+ ratio, days to flowering and biological yield. In addition, three families, H4/T/30/1, H1/T/12/5 and H1/T/47/4, were selected as the most suitable alternatives to construct the breeding population of the next generation.
Pathways to prosocial leadership: an online experiment on the effects of external subsidies and the relative price of giving
Authors: Robbins Blaine , Karell Daniel , Siegenthaler Simon , Kamm Aaron 
Published: December 2023

Abstract
Leaders are a part of virtually every group and organization, and while they help solve the various collective action problems that groups face, they can also be unprincipled and incompetent, pursuing their own interests over those of the group. What types of circumstances foster prosocial leadership and motivate leaders to pursue group interests? In a modified dictator game (N = 798), we examine the effects of piece-rate subsidies (or pay per unit of work performed) and the relative price of giving (or the size of the benefit to others for giving) on prosocial behaviour and norms about giving. We find that subsidies increase giving by leaders, that the relative price of giving is unrelated to prosocial behaviour, and that neither affects norms about giving. Furthermore, the introduction and removal of a subsidy do not undermine giving over time. Our results imply that subsidies increase group welfare by motivating leaders to allocate a larger share of resources to group members.
Synergistic and antagonistic effects of temperature and moisture differences on movement and distribution of Cryptolestes ferrugineus (Coleoptera: Laemophloeidae) adults in horizontal columns of wheat
Authors: Anukiruthika Thangarasu , Jayas Digvir S , Jian Fuji 
Published: December 2023

Abstract
The distribution of insects in stored grain bulks is significantly influenced by temperature and moisture, or their gradients or differences. This study examined the movement and distribution of Cryptolestes ferrugineus (Stephens) adults under different combinations of temperature (5 or 10°C) and moisture differences (2.5 or 5 percentage point difference) in horizontal 1 m wheat columns in 24 h. Adults showed a nonoriented distribution in dry or damp wheat (less than 15% moisture content), while the distribution was partially biased in wet wheat (17.5% moisture content) due to slightly increased temperature or spoilage of the wet wheat in 1 replicate. Adults showed a positive response to warm and damp or wet wheat. Under any levels of temperature (5 or 10°C) and moisture differences (2.5 or 5 percentage points) in 24 h, about 75% of adults were recovered from moist wheat where insects were introduced. Adults equally preferred both moist cool grain and dry warm grain located at ± 0.25 m. However, the preference for dry warm grain was stronger than moist cool grain when the movement distance was 0.45 m. The sensing ability of adults and their preferences were not only determined by movement distance but also by the magnitude of temperature and moisture differences. Thus, the findings of the present study will help in better understanding adult response to realistic temperature and moisture distributions that commonly occur in storage structures and to develop stored grain ecosystems mathematical models.