bluuebunny/crossref_metadata_2025_split huggingface dataset:
A compact linearly polarized RLSA antenna integrated with circular ring resonator (CRR) for 5G mm-wave applications
Authors: Alwareth Husam , Ibrahim Imran Mohd , Zakaria Zahriladha , Majid Huda A , Purnamirza Teddy , Al-Gburi A J A 
Published: April 2024

Abstract
This article introduces a compact linearly polarized (LP) radial line slot array antenna (RSLA) that incorporates a metamaterial of circular ring resonator (CRR) reflector for improving the bandwidth. Hence, this enables the antenna to operate at n257 (26.5–29.5), n258(24.25–27.5), and n261(27.5–28.35) frequency bands which are standardized by Federal Communications Commission (FCC) with a minor reduction of the directivity. Due to the short wavelength of the millimeter wave bands, the technique of the RLSA design has been advantageous for achieving high gain. The prototype of the RLSA antenna and the metamaterial CRR reflector are designed and fabricated at 28 GHz resonance frequency utilizing Rogers 5880 substrate and fed using an SSMA coaxial connector with an air gap cavity equivalent to half guide wavelength (λg/2) between substrate and ground plane. The method of integrating the CRR reflector with the LP-RLSA antenna delivered a passband transmission operating at (22–29.5) GHz. The proposed antenna has a similar agreement between simulated and measured for directivity and bandwidth. it achieved a peak directivity of 20 dB with a squinted main lobe at 12° and a fractional bandwidth of 29.13%. The fabricated RLSA antenna dimensions are 130 mm × 130 mm × 10.65 mm which is compact compared to conventional RLSA antennas.
Analytic solutions of alpha-beta -time- derivatives complex finance chaotic dynamical system: synchronization and extended center manifold. An explicit approach
Authors: Abdel-Gawad H I , El Mahdy M A 
Published: April 2024

Abstract
The present study focuses on a real finance nonlinear dynamic system (FNLDS), which has been shown to exhibit chaotic behavior. The solutions for such nonlinear dynamical systems (NLDSs) have typically been derived using numerical techniques. The objective of this study aims to; firstly, derive approximate analytical solutions for the complex FNLDS (CFNLDS) by constructing the Picard iterative scheme. The convergence of this scheme is proven, and the error analysis shows good tolerance, indicating the efficiency of the technique. Second, a novel criterion for synchronizing the real and imaginary parts of the system is presented, based on a necessary condition. Thirdly, a new method for constructing the extended center manifold is introduced. The 3D portrait reveals a feedback scroll pattern, while the 2D portrait, representing the mutual components, shows multiple pools. The synchronization of the real and imaginary parts of the system is demonstrated graphically. The FNLDS is tested for sensitivity dependence against tiny variations in the initial conditions, and it is found that the system components are moderately sensitive. Furthermore, the Hamiltonian and the extended center manifold establish a two-fold structure. It is observed that the effect of the α-β derivative leads to a delay in the behavior of the solutions.
Raman spectroscopy and SERS by using Ag-nano-wires for detecting 1,2,4-Triazole in aqueous phase
Authors: Salinas-Luna Javier , Mentado-Morales Juan , Castro-López Jorge 
Published: April 2024

Abstract
In this work we showcase the experimental detection of high and low concentrations of the organic molecule 1,2,4-Triazole (124T) in the aqueous phase using a Coupled Optical Fiber Raman Spectrograph (COFRS) at an excitation wavelength of 785 ηm. Considering that 124T is a molecule used for producing pesticides, herbicides and antibacterial, hence its relevance. Accordingly, high concentrations (5 to 0.25 M) were prepared to be evaluated with COFRS in its typical configuration using vials constructed from borosilicate glass type 1. Whereas for detection of low concentrations (10−1 to 10−6 M), COFRS was coupled to the Surface Enhanced Raman Spectroscopy (SERS) technique by using Ag-nanowires as substrates. After obtaining the different spectral peaks of the 124T and plotting the areas of each peak against the molar concentration of each solution, a linear trend of around R2 = 0.99578 and R2 = 0.99917 was observed for the high and low detection ranges, respectively. As a result, the two best equations to quantitatively decide the concentration of an unknown aqueous solution of 124T in both ranges are obtained. Therefore, this work presents a promising methodology suitable for detecting high and low concentrations and is already used for other molecules by COFRS-SERS coupling.
Rediscovery of numerical Lüscher's formula from the neural network*
Authors: Lu 陆 Yu 宇 , Wang 王 Yi-Jia 一佳 , Chen 陈 Ying 莹 , Wu 吴 Jia-Jun 佳俊 
Published: April 2024

Abstract
We present that by predicting the spectrum in discrete space from the phase shift in continuous space, the neural network can remarkably reproduce the numerical Lüscher's formula to a high precision. The model-independent property of the Lüscher's formula is naturally realized by the generalizability of the neural network. This exhibits the great potential of the neural network to extract model-independent relation between model-dependent quantities, and this data-driven approach could greatly facilitate the discovery of the physical principles underneath the intricate data.
Side-Channel Attack Security Risk Assessment Model Based on Mutual Information Game
Authors: Yao Jianbo , Zhang Tao 
Published: April 2024

Abstract
The process of attack and defence of side channel attack can be regarded as the process of mutual information game, the two sides of the game are the cryptographic device designer (defence) and the enemy. The game goal of the defender is to reduce the local and global risks caused by side channel leakage by formulating relevant defence strategies; For the enemy, the goal of the game is just the opposite. From the perspective of making security strategy and reducing security risk, the mutual information game theory is introduced into the decision-making process of crypto chip designers (defenders) and enemies, and the influence of the choice of offensive and defensive strategy on security risk is investigated.
Research and Application of Power Grid Data Anomaly Tracing Method Based on Time Series Correlation
Authors: Li Xiaoyan , Hao Xuliang , Li Xiaolei , Li Chao , Qiu Shuo , Liu Shibo 
Published: April 2024

Abstract
Power grid data is a “barometer” that reflects the operational trend of the power grid system, so conducting a traceability study on abnormal data generated by the power grid system is crucial to maintaining the stable operation of the power grid system and preventing further malfunctions. This article proposes a maximum time series correlation ring tracing algorithm based on time series correlation: firstly, for a large amount of time series data collected from measurement points in the power grid system, a correlation coefficient matrix is calculated, and then a time series correlation graph is constructed using graph theory knowledge. The Kruskal algorithm is used to search for the longest spanning tree in the time series correlation graph. Finally, based on the spanning tree, the breadth-first search (BFS) algorithm is further used to obtain the maximum time series correlation ring[1]. By using the time series correlation of each node within the ring and the physical topological relationship between nodes, the abnormal data can be traced back. Distinguish whether the generation of abnormal data is due to a single point failure or system failure. Most of the existing fault tracing techniques are based on machine learning algorithms, which are difficult to widely apply in high-dimensional time series data due to their high complexity.Through experiments on real power grid data, the results verify the effectiveness of this method in anomaly tracing of high-dimensional time series data. Through comparative experiments, this method is superior to machine learning model algorithms in terms of efficiency and stability. At the same time, this method does not require additional calculations of the statistical distribution of the samples to be tested, thus greatly saving computational costs.
Analysis of the Influence of Adjacent New Pile Foundation Construction on the Structural Deformation of the In-service Subway Tunnels
Authors: Li Ting , Dong Jun , Yang Liangliang 
Published: April 2024

Abstract
Taking the construction project of a new bridge pile foundation above an in-service subway in Xi’an as an example, considering the influence of horizontal symmetrical construction of pile foundation hole forming on the deformation of different sections of asymmetric tunnels, a three-dimensional finite element geometric model of pile-tunnel-soil is established based on ABAQUS software. Through the numerical simulation analysis of the structural deformation behavior of the in-service subway tunnel under the two construction stages of pile foundation hole forming and concrete pouring, the horizontal and vertical deformation laws of the key points of the in-service subway tunnel caused by the construction of the adjacent new pile foundation are analyzed from different angles.The calculation results show that: the deformation of the interval tunnel is mainly caused by vertical displacement, resulting in overall settlement of the tunnel. However, the settlement value is within a controllable range and does not affect the normal operation of the in-service subway tunnel. The concrete pouring stage has a greater impact on subway tunnels. The research work has important reference value for the reasonable safety monitoring and control of similar construction projects.
A numerical study on smoke propagation in metro tunnel fires with different door opening scenarios
Authors: Li Boyu , Li Yanfeng , Su Zhihe , Feng Shan 
Published: April 2024

Abstract
Numerical study was carried out to analyze the effect of door opening scenario on the smoke propagation in metro tunnel fires. The smoke back-layering length, critical velocity, and temperature distribution were studied under a total of 8 working conditions. Results show that the opening of emergency exit doors could result in a shorter smoke back-layering length in the train compartment. In such conditions, a smaller driving force was needed to approach the critical velocity. On the other hand, the high temperature area of the tunnel evacuation platform would change under different opening scenarios. The research result could be used as a deeper understanding of the smoke propagation of metro fire and a reference for the formulation of smoke control.
Analysis and optimization of brace system in scaffold
Authors: Gao Ruiqi , Huang Keqi , Liu Xiaomin , Zhou Junlong , Zhang Qian , Li Yikang , Xu Hao , Tian Buyuan , Ye Birun , Zhao Yichao 
Published: April 2024

Abstract
Scaffold consists of horizontal components, vertical components and lateral braces, while the lateral stiffness of structure is mainly provided by brace system. Brace system can be classified into three groups: concentric brace, eccentric brace and knee brace. Concentric brace enables to offer greater stiffness, for providing direct load transfer. Eccentric brace and knee brace belong to ductile system, maintaining stability by energy consumption braces. Eccentric brace dissipates energy by deforming and buckling, while knee brace disposes energy by form a plastic hinges. Concentric brace is a common way for enhancing lateral stiffness in scaffold. Current studies aimed to investigate detail parameter effects in one brace pattern, while few comparative studies were carried on multiple brace pattern. In this paper, a simplified simulation method was proposed. Throughout simulation analysis, some regulations of brace arrangement were summarized, which provides a guidance during the scaffolding design and optimization process.
Research and Implementation of Container Based Application Orchestration Service Technology
Authors: Liu Peng , Wang Jinsong , Zhao Weisen , Li Xiangjun 
Published: April 2024

Abstract
With the rapid development of cloud computing technology, Kubernetes(K8S), as the main orchestration tool for cloud native applications, has become the preferred choice for enterprises and developers. This article is based on container based application orchestration service technology. Through a set of templates containing cloud resource descriptions, it quickly completes functions such as application creation and configuration, application batch cloning, and application multi environment deployment. It simplifies and automates the lifecycle management capabilities required for cloud applications, such as resource planning, application design, deployment, status monitoring, and scaling. Users can more conveniently complete infrastructure management and operation and maintenance work, In order to focus more on innovation and research and development, and improve work efficiency. The actual application effect of the technology used in this article depends to a certain extent on the ability level of basic service resources, and manual template creation is required for the first use. In production use, a certain professional ability is required to create a good application layout template, adjust and optimize resources according to the production environment, in order to significantly improve the effectiveness and efficiency of practical applications.
Hybrid Elastic Scaling Strategy for Container Cloud based on Load Prediction and Reinforcement Learning
Authors: Liu Peng , Zhao Weisen , Zhang Baoliang , Wang Jing 
Published: April 2024

Abstract
To harness the advantages of both proactive and responsive scaling, adapting to various workload scenarios, this paper introduces a container hybrid scaling strategy called HyPredRL, rooted in load prediction and reinforcement learning. Within the proactive scaling module RL-PM, a load prediction model, MSC-LSTM, predict workloads and, in conjunction with current workload states, leverages reinforcement learning agents for intelligent scaling decisions. The responsive scaling strategy, SLA-HPA, enhances Kubernetes’ native scaling strategy, which primarily considers resource utilization, by incorporating response time metrics. Ultimately, a hybrid scaling controller is designed, applying the principles of “rapid scaling out” and “balanced conflicts” to coordinate proactive and responsive scaling. Experimental results demonstrate that HyPredRL outperforms existing methods in SLA violation rate, resource utilization, and request response time, effectively improving application performance and scalability.
Research on the Development Path of E-commerce Logistics in the Context of Carbon Neutrality
Authors: Kong Zhen , Kong Linghan , Bai Kun 
Published: April 2024

Abstract
This research paper aims to explore the development path of e-commerce logistics in the context of carbon neutrality. With the increasing concerns about environmental sustainability, the e-commerce industry has been pushed to find innovative solutions to reduce carbon emissions and promote sustainable practices. This study examines various strategies and approaches that can be adopted to achieve a greener and more efficient e-commerce logistics system. By analyzing the current trends, challenges, and opportunities, this paper provides insights and recommendations for policymakers, companies, and stakeholders in the e-commerce logistics sector. It requires comprehensive planning and decomposition of the entire process of e-commerce logistics. There are several key points to consider in achieving carbon neutrality for e-commerce platforms, such as green warehousing, green packaging, green transportation, and technological innovation, some top logistics companies achieved a cumulative carbon reduction. Adding a touch of “green” to the performance report of ecommerce promotions has become a proactive choice for an increasing number of platforms.
Federal Algorithm Design and Numerical Experiments of Ensemble Kalman Filter Data Assimilation Analysis Process
Authors: Wu Zhuhui , Han Yueqi , Ye Song , Fu Yapeng , Kou Zheng 
Published: April 2024

Abstract
Based on the federated Kalman filter proposed by Carlson with linear systems, we propose a federated computing scheme for the ensemble Kalman filter (EnKF) assimilation analysis process for nonlinear systems, and give an optimal information fusion estimation algorithm weighted by diagonal matrix under the linear minimum variance criterion, that is, the assimilation analysis values of each variable in the global estimation are linear combinations of the assimilation analysis values of the corresponding variables in the local estimation of sub-filters, and the calculation of the combination coefficients is given. The federated algorithm of the EnKF assimilation analysis process for nonlinear systems is verified by the Lorenz (1963) system.
A Simple Model for Fault Detection of UAV Photoelectric Load Based on Image Classification
Authors: Xue Song , Shen Yan’an , Li Congli , Li Jun 
Published: April 2024

Abstract
A simple image-based unmanned aerial vehicle (UAV) optoelectronic load fault detection model is proposed to address the types of distortion that occur during the imaging process due to device failures. The model adopts the classic AlexNet network, adjusts the key parameters of the network, adds a BN layer, and then optimizes the original network using LeakyReLU, achieving a fault detection model based on image classification. The experimental results show that the clas-sification accuracy of our model has reached over 90%, which is higher than the comparison method. Moreover, the training samples required for our model are small and easy to implement.
A Time-sensitive Traffic Scheduling Algorithm for Industrial Network of Power Grid
Authors: Wang Xuanzhong , Zhang Yanan , Li Zhutian 
Published: April 2024

Abstract
Industrial Internet communications in power scenarios are highly time-sensitive and require low network latency and high stability. Therefore, in order to ensure the smooth operation of the automated production line, we propose a time-sensitive traffic scheduling (TsTS) algorithm combined with SRv6 technology based on the application background of industrial and civil converged networks. The method is: through the previous hop node sensing of network congestion Link congestion, and then adjust the detour path for time-sensitive traffic through Dijkstra’s algorithm. Moreover, in order to effectively reduce the link overhead of SRH and prevent bandwidth waste caused by large IPv6 addresses, we also propose a node list compression algorithm for detour paths. The core method is to put only necessary nodes into SRH, that is, Sensitive traffic can be forwarded with the help of ordinary routing. Experiments show that this method performs well in terms of delay and link utilization.
Simulation on Operating Characteristics of Shunt DC Motor
Authors: Li Jinku , Li Hao , Guo Haizhi , Li Guohui 
Published: April 2024

Abstract
By comparing the literature at home and abroad, according to the working process and principle of shunt excited DC motor, the working characteristics and mechanical characteristics of the motor are analyzed by Simulink software. Among them, the working characteristics cover the speed characteristics and torque characteristics, and the mechanical characteristics include the inherent mechanical characteristics and artificial mechanical characteristics. The working characteristics of motor speed and torque are analyzed when the magnetic flux and armature resistance are changed. At the same time, the effects of changing the armature voltage, armature resistance and series resistance on the inherent and artificial characteristics of the motor, and the suggestions for starting the motor are given.
Optimal flow channel structure selection for hybrid locomotive battery pack liquid cooling system
Authors: Deng Jichen , Wang Jingyang , Zhang Ying 
Published: April 2024

Abstract
Simulation studies were performed on the power battery pack to determine the most suitable flow channel configuration for the liquid cooling system. The study involved conducting thermal simulation analysis on four different channel types with varying structures under specific conditions, including an ambient temperature of 25°C, coolant inlet speed of 2L/min, and inlet temperature of 25°C. Based on a comparative analysis, it can be inferred that an increase in the number of parallel flow channels leads to a degradation in the temperature performance of the battery pack while concurrently enhancing the pressure performance of the coolant. After considering all evaluation factors, the liquid cooling channel structure design for the battery pack was determined to consist of two parallel channels.
Research on the Prediction of Flight Passenger Flow in Holidays based on Machine Learning
Authors: Hou Jingwen , Ma Minshu , Li Chunyan 
Published: April 2024

Abstract
This article focuses on predicting holiday flight passenger flow to optimize airline resource allocation. Analyzing daily passenger data during key holidays, including New Year’s Day, Qingming Festival, Labour Day, Dragon Boat Festival, Mid-Autumn Festival, and National Day, the study employs four machine learning models: Random Forest, Multilayer Perceptron, LightGBM, and Stacking. Findings reveal that all models effectively capture holiday flow patterns, with LightGBM demonstrating superior prediction accuracy. Moreover, creating unified models for all holidays outperforms individual holiday-specific models. The study delves into the factors influencing the varying performance of the best model across different features, providing insightful analysis and discussion.
Research on Computer-aided Adjustment and Optimization of Train Service Plan based on Passenger Flow Assignment
Authors: Yang Wenbin , He Zhenhuan , Yang Jing 
Published: April 2024

Abstract
According to the complex characteristics of the mutual influence of passenger flows between different train adjustment schemes, a computer-aided train service plan adjustment optimization model based on passenger flow assignment is proposed with the goal of minimizing the remaining passenger turnover. The actual operating effects of trains and the impact between different adjustment measures and between trains are also considered. A computer iterative optimization algorithm with 2 stages based on the greedy principle is designed. The computer processing is divided into two stages: train adjustment plan selection and passenger flow information analysis. The selection of adjustment schemes is feedback-corrected based on the results of passenger flow assignment. Finally, taking the train operation plan of the Beijing-Shanghai high-speed railway as the research object, an example is demonstrated, and the results show that the model and algorithm can effectively obtain the optimal train adjustment scheme under the current conditions.