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Evaluating short term financial marketing bitcoin prediction: A comparative analysis of large-kernel attention graph convolutional networks across various prediction horizon 评估短期金融营销比特币预测:跨不同预测范围的大核注意图卷积网络的比较分析
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-29 DOI: 10.1016/j.ijleo.2025.172663
Mohideen AbdulKader M , Sudhansu Sekhar Nanda , K. Sampath , D. Barani
One of the most popular investment assets nowadays is Bitcoin. The financial market volatility of bitcoin's price has drawn the attention of researchers and investors alike to the ways in which its price fluctuates. The paper proposes an evaluation of Short Term Financial Marketing Bitcoin Prediction: A Comparative Analysis of Large-Kernel Attention Graph Convolutional Networks across Various Prediction Horizons (BP-ST-LAGCN-NOA) for short-term Bitcoin market prediction. Then, pre-processed data are fed to the Large-kernel Attention Graph Convolutional Network (LAGCN) to effectively predict the bitcoin market in the short term. LAGCN does not express adaptive optimization strategies to determine optimal factors to effectively predict the Bitcoin market. Hence, the Nutcracker Optimization Algorithm (NOA) is employed to optimize the weight parameter of the Large-kernel Attention Graph Convolutional Network to predict the bitcoin market. Then the proposed BP-ST-LAGCN-NOA is implemented in Python, and the performance metrics like Accuracy, Precision, Recall, Specificity, F1-score, and ROC are analysed. The BP-ST-LAGCN-NOA model achieves 99.64 % accuracy, 99.21 % precision, 99.18 % recall, 98.14 % F1-Score and 98.47 % specificity, outperforming all baseline methods. The BP-ST-LAGCN-NOA model demonstrates superior accuracy and robustness in short-term Bitcoin market prediction, outperforming existing machine learning (ML) and deep learning (DL) approaches.
如今最受欢迎的投资资产之一是比特币。比特币价格在金融市场上的波动引起了研究人员和投资者对其价格波动方式的关注。本文提出了短期金融营销比特币预测的评价:跨不同预测视界的大核注意图卷积网络(BP-ST-LAGCN-NOA)对短期比特币市场预测的比较分析。然后,将预处理后的数据输入到大核注意图卷积网络(LAGCN)中,有效预测比特币短期市场走势。LAGCN没有表达自适应优化策略来确定最优因素,从而有效地预测比特币市场。因此,采用胡桃夹子优化算法(NOA)对大核注意图卷积网络的权重参数进行优化,预测比特币市场。然后用Python实现了BP-ST-LAGCN-NOA,并对准确率、精密度、召回率、特异性、F1-score和ROC等性能指标进行了分析。BP-ST-LAGCN-NOA模型准确率为99.64 %,精密度为99.21 %,召回率为99.18 %,F1-Score为98.14 %,特异性为98.47 %,优于所有基线方法。BP-ST-LAGCN-NOA模型在短期比特币市场预测中表现出卓越的准确性和鲁棒性,优于现有的机器学习(ML)和深度学习(DL)方法。
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引用次数: 0
Optical radiation forces on Rayleigh spheres produced by focused vortex higher-order cosine-hyperbolic-Gaussian beams 聚焦涡高阶余弦双曲高斯光束对瑞利球产生的光辐射力
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-27 DOI: 10.1016/j.ijleo.2025.172654
Abdellah Ahlane, Salma Chib, Zoubir Hricha, Abdelmajid Belafhal
We present a theoretical investigation of the optical radiation forces exerted by highly focused vortex higher-order cosine-hyperbolic-Gaussian beams (vHOChGBs) on Rayleigh dielectric spheres. Analytical expressions for the focused vHOChGBs field and the resulting gradient and scattering forces are derived, explicitly revealing their dependence on key beam parameters (decentering b, beam order N, topological charge m), particle characteristics, and the environment medium. Numerical results show that the structured intensity profiles of vHOChGBs enable simultaneous trapping of low and high-index particles. High-index particles localize in bright focal regions, while low-index particles are confined into inter-lobe minima. Stability analysis establishes that gradient forces dominate scattering and thermal effects across parameter spaces, with beam waist ω0 and topological charge m critically governing trapping potential depths. This parametric flexibility could allow precision assembly of micro/nanostructures and non-invasive biological specimen handling, advancing vHOChGBs as versatile tools for optical tweezers and biophotonics applications.
本文从理论上研究了高聚焦涡旋高阶余弦双曲高斯光束在瑞利介质球上施加的光辐射力。推导了聚焦vHOChGBs场及其梯度和散射力的解析表达式,明确揭示了它们与关键光束参数(离心b、光束阶数N、拓扑电荷m)、粒子特性和环境介质的依赖关系。数值结果表明,vhochgb的结构强度分布可以同时捕获低指数和高指数粒子。高折射率粒子集中在明亮的焦点区域,而低折射率粒子则局限在瓣间极小值区域。稳定性分析表明,梯度力在参数空间中的散射和热效应占主导地位,束腰ω0和拓扑电荷m对捕获电位深度起关键控制作用。这种参数灵活性可以实现微/纳米结构的精确组装和非侵入性生物标本处理,使vhochgb成为光学镊子和生物光子学应用的多功能工具。
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引用次数: 0
Generation of quantum coherence in a magnomechanical system 磁力学系统中量子相干性的产生
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-23 DOI: 10.1016/j.ijleo.2025.172653
Mulugeta Tadesse Bedore , Tesfay Gebremariam Tesfahannes , Tewodros Yirgashewa Darge , Menisha Alemu Tufa , Abdelkader Hidki , Habtamu Dagnaw Mekonnen , Muhdin Abdo Wodedo , Philippe Djorwe
We investigate macroscopic quantum coherence in a hybrid magnomechanical system consisting of a microwave cavity with a yttrium iron garnet (YIG) sphere coupled to an auxiliary microwave cavity. By solving the Lyapunov equation and analyzing the steady-state mean values, we use the magnetic dipole interaction between the cavity mode and the magnon mode, as well as the magnetostrictive interaction between the magnon mode and the mechanical vibrations of the YIG sphere, to generate and transfer Gaussian quantum coherence across different subsystems. Our results reveal that significant quantum coherence can be realized between various bipartitions, even at high temperatures. We identify optimal parameter regimes that enhance coherence, offering insights into the robust generation and control of quantum correlations in macroscopic systems. These findings contribute to the advancement of macroscopic quantum technologies and highlight promising directions for quantum information processing.
我们研究了一个由钇铁石榴石球耦合到辅助微波腔的微波腔组成的混合磁力学系统中的宏观量子相干性。通过求解Lyapunov方程和分析稳态平均值,我们利用腔模式和磁振子模式之间的磁偶极相互作用,以及磁振子模式和YIG球的机械振动之间的磁致伸缩相互作用,在不同子系统之间产生和传递高斯量子相干性。我们的研究结果表明,即使在高温下,不同双分频之间也可以实现显著的量子相干性。我们确定了增强相干性的最佳参数制度,为宏观系统中量子相关性的鲁棒生成和控制提供了见解。这些发现有助于宏观量子技术的进步,并突出了量子信息处理的有前途的方向。
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引用次数: 0
An automated measurement method for dendritic structures in laser cladding coatings using deep learning 基于深度学习的激光熔覆层枝晶结构自动测量方法
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-19 DOI: 10.1016/j.ijleo.2025.172643
Fang Guo , Longmei Luo , Xueming Zhang , Mengsi Zhang , Youji Zhan , Guofu Lian
To enhance the efficiency of intelligent recognition of the microstructure of laser cladding coatings and optimize the evaluation methods for coating performance and quality, we introduce an image segmentation model called DendriticNet and develops an automated measurement method for the dendritic structure images of laser cladding coatings. The DendriticNet model enables precise pixel-level segmentation and recognition of three types of dendritic structures—dendritic, bulk, and equiaxed crystals—effectively overcoming the limitations of traditional metallographic recognition methods. This provides efficient and accurate technical support for the microstructural analysis of laser cladding coatings. The DendriticNet model combines transfer learning with the Res_CSP attention mechanism module, enabling accurate recognition in complex scenarios involving varying scales and overlapping dendritic structures. Additionally, it achieves qualitative characterization of dendritic microstructures at the micron scale. Experimental results demonstrate that the DendriticNet model achieves an mIoU of 80.31 %, an MPA of 88.43 %, and an accuracy of 93.01 %. By integrating the predicted images produced by the DendriticNet model with the automatic measurement method for dendritic microstructure images of laser cladding coatings, quantitative analysis is conducted to automatically calculate the density ratios of various dendritic structures. Experimental results demonstrate that the measurement accuracy for the total dendritic density ratio exceeds 96.6 %, confirming the feasibility and effectiveness of this automatic measurement method. This approach not only enables the quantitative characterization of dendritic structures at the micron scale but also offers an innovative solution for exploring the relationship between the microstructure and macroscopic performance of coatings.
为了提高激光熔覆涂层微观结构的智能识别效率,优化涂层性能和质量的评价方法,我们引入了一种名为DendriticNet的图像分割模型,并开发了一种用于激光熔覆涂层树枝状结构图像的自动测量方法。DendriticNet模型能够精确的像素级分割和识别三种类型的枝晶结构-枝晶,块状和等轴晶体-有效地克服了传统金相识别方法的局限性。这为激光熔覆涂层的显微组织分析提供了高效、准确的技术支持。DendriticNet模型将迁移学习与Res_CSP注意机制模块相结合,能够在涉及不同规模和重叠树突结构的复杂场景中进行准确识别。此外,它还实现了微米尺度上枝晶微观结构的定性表征。实验结果表明,该模型的mIoU为80.31 %,MPA为88.43 %,准确率为93.01 %。将DendriticNet模型生成的预测图像与激光熔覆涂层枝晶微观结构图像自动测量方法相结合,进行定量分析,自动计算出各种枝晶结构的密度比。实验结果表明,总枝晶密度比的测量精度超过96.6% %,验证了该自动测量方法的可行性和有效性。这种方法不仅能够在微米尺度上定量表征树枝状结构,而且为探索涂层微观结构与宏观性能之间的关系提供了一种创新的解决方案。
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引用次数: 0
Increasing the depth of focus in mirror optical systems using high-order aspheric coefficients 利用高阶非球面系数增加镜面光学系统的聚焦深度
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-18 DOI: 10.1016/j.ijleo.2025.172646
Noe Vazquez-Osorio , Jorge Castro-Ramos , Alexis Vázquez-Villa , Freddy Narea-Jiménez
Depth of focus (DoF) is a fundamental property of optical systems, as it influences key aspects such as image quality, resolution, and tolerance. A method is presented to increase the DoF by adding high-order aspherical coefficients to one of the mirrors of the optical system. The developed method applies to finite and infinite conjugate mirror systems. Using the focal length function, the rays are positioned to determine the aspheric deformation, based on exact ray tracing and the proposed condition of equalizing the optical paths of a marginal and a paraxial ray. Two optical systems are presented. First, a microscope objective with a light sheet length increased by 390 % compared to a classic system. Second, a Telescope with a DoF of 1000 μm was designed. The results demonstrate the method's versatility, quickly and easily extending the DoF.
焦深(DoF)是光学系统的基本属性,因为它影响到图像质量、分辨率和公差等关键方面。提出了一种通过在光学系统的一个反射镜上增加高次非球面系数来提高光学系统景深的方法。该方法适用于有限和无限共轭镜系统。利用焦距函数,基于精确的光线跟踪和提出的平衡边缘光路和傍轴光路的条件,对光线进行定位以确定非球面变形。介绍了两种光学系统。首先,与经典系统相比,显微镜物镜的光片长度增加了390 %。其次,设计了焦距为1000 μm的望远镜。结果表明,该方法具有通用性强、扩展速度快、方便等优点。
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引用次数: 0
Dual-resonance multilayer Tamm plasmon polariton biosensor for cancer cell detection 用于癌细胞检测的双共振多层Tamm等离子激元生物传感器
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-18 DOI: 10.1016/j.ijleo.2025.172642
Ahmed Sameer Hatem Alani, Aqilah Baseri Huddin, Norhana Arsad
This work presents a highly efficient multilayer biosensor based on dual‑resonance Tamm plasmon polaritons (TPPs), designed for ultra‑sensitive detection of lung cancer cells. The sensor employs a thin metal-dielectric interface integrated atop an all-dielectric photonic crystal, enabling two ultra-narrowband resonances under normal incidence without the use of coupling prisms or gratings. Numerical modeling using the transfer matrix method (TMM) confirms strong field confinement at the metal-sample interface, resulting in high spectral selectivity and dual resonance modes with full width at half maximum (FWHM) values of 0.133 nm and 0.143 nm. The corresponding quality factors (Q) reach 4029 and 3778, and figures of merit (FoM) are 90 RIU−1 and 106 RIU−1, respectively. The device exhibits sensitivities of 12 nm/RIU and 15.1 nm/RIU for a refractive index variation of ΔnS = 0.01. For biological testing with A549 lung cells, resonance shifts of 0.20 nm and 0.23 nm are observed between healthy (n = 1.3662) and cancerous (n = 1.3568) samples. Considering a spectrometer resolution of 0.1 nm, the minimum detectable refractive index changes are 8.3 × 10−3 RIU and 6.6 × 10−3 RIU for the two resonances. Due to its ultra‑narrow linewidth, high FoM, label‑free operation, and compatibility with standard thin‑film fabrication, the proposed TPP‑based biosensor offers a compact and accurate platform for real‑time optical cancer diagnostics.
本工作提出了一种基于双共振Tamm等离子激元极化(TPPs)的高效多层生物传感器,设计用于超灵敏检测肺癌细胞。该传感器采用集成在全介电光子晶体顶部的薄金属-介电界面,在正常入射下实现两个超窄带共振,而无需使用耦合棱镜或光栅。利用传递矩阵法(TMM)的数值模拟证实了金属-样品界面处的强场约束,从而产生了高光谱选择性和半最大值全宽度(FWHM)值分别为0.133 nm和0.143 nm的双共振模式。相应的质量因子(Q)达到4029和3778,品质因数(FoM)分别为90 RIU−1和106 RIU−1。灵敏度分别为12 nm/RIU和15.1 nm/RIU,折射率变化为ΔnS = 0.01。在A549肺细胞的生物学检测中,健康样本(n = 1.3662)和癌变样本(n = 1.3568)的共振位移分别为0.20 nm和0.23 nm。考虑到0.1 nm的光谱仪分辨率,两个共振的最小可探测折射率变化分别为8.3 × 10−3 RIU和6.6 × 10−3 RIU。由于其超窄线宽、高FoM、无标签操作以及与标准薄膜制造的兼容性,所提出的基于TPP的生物传感器为实时光学癌症诊断提供了一个紧凑而准确的平台。
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引用次数: 0
Contingent bit-pair based high capacity reversible data hiding technique in encrypted images for secure message communication 基于随机位对的加密图像高容量可逆数据隐藏技术
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-18 DOI: 10.1016/j.ijleo.2025.172645
Sanjay Kumar , KJ Shruthikeerthi , Gurjit Singh Walia , Dhana Lakshmi MP
Reversible Data Hiding (RDH) in the encrypted domain has gained significant attention due to its wide range of applications and the growing need for security and privacy in secure communication. However, existing methods often face challenges, including low embedding capacity, high communication overhead, security vulnerabilities, and overflow/underflow. Addressing these limitations, this paper proposes an efficient separable RDH in Encrypted Images (RDH-EI) method based on a contingent bit-pair. Embedding data at the contingent bit-pair level enhances the embedding capacity and fortifies the security and privacy of both the user message and the plain cover. The embedding process modifies the Most Significant Bits (MSBs) of interpolated pixels according to the proposed bit-pair rule set. Each encrypted cover byte can contribute up to seven bits for data embedding, enabling greater data concealment. At the receiving end, the extraction process recovers the embedded message by reconstructing it using the XOR operation and the plain cover by reversing the encryption, requiring no overhead for recovery. The proposed method is evaluated against state-of-the-art techniques, and results demonstrate significant enhancements in embedding capacity. It achieves a maximum embedding capacity of 455,175 bits at a bit rate of 1.7432 bpp, utilizing minimal execution time over BOWS2, USC-SIPI, and Kodak datasets, low distortion, and perfect reversibility, making it suitable for secure data transmission.
加密领域的可逆数据隐藏(RDH)由于其广泛的应用以及在安全通信中对安全性和保密性日益增长的需求而引起了人们的广泛关注。然而,现有方法往往面临嵌入容量低、通信开销大、安全漏洞和溢出/下溢等挑战。针对这些限制,本文提出了一种基于偶然位对的有效的可分离加密图像RDH方法。在偶然位对级别嵌入数据增强了嵌入能力,增强了用户消息和普通覆盖的安全性和隐私性。嵌入过程根据提出的位对规则集修改插值像素的最高有效位(msb)。每个加密的覆盖字节可以为数据嵌入贡献多达7位,从而实现更大的数据隐藏。在接收端,提取过程通过使用异或操作重构嵌入的消息来恢复它,通过反转加密来恢复普通覆盖,不需要恢复开销。所提出的方法与最先进的技术进行了评估,结果表明嵌入能力显著增强。它以1.7432 bpp的比特率实现了455,175位的最大嵌入容量,在BOWS2, USC-SIPI和Kodak数据集上使用最小的执行时间,低失真和完美的可逆性,使其适合安全数据传输。
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引用次数: 0
Investigation of photoluminescence, dosimetric, and imaging properties of Sr3La(PO4)3: Tb Sr3La(PO4) 3tb的光致发光、剂量学和成像特性研究
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-14 DOI: 10.1016/j.ijleo.2025.172644
Haruaki Ezawa, Takumi Kato, Daisuke Nakauchi, Noriaki Kawaguchi, Takayuki Yanagida
We prepared the non-doped and Tb: Sr3La(PO4)3 (SLaPO) single crystals with Tb concentrations ranging from 0.5 to 10 mol% using the floating zone method and evaluated photoluminescence (PL), dosimetric, and imaging properties. The Tb: SLaPO single crystals exhibited PL and thermally stimulated luminescence (TSL) peaks corresponding to the transitions from the ground state to the excited states of Tb3 + ions. The TSL glow peaks were observed at 80°C for the non-doped SLaPO single crystal and 90°C for Tb: SLaPO single crystals. In the TSL does response function, the 5 mol% Tb: SLaPO sample showed a higher TSL intensity compared to the other samples with a detection limit of 0.01 mGy. Additionally, the 5 mol% Tb: SLaPO single crystal indicated a spatial resolution of 7.10 LP/mm after X-ray irradiation.
我们采用浮区法制备了Tb浓度为0.5 ~ 10 mol%的未掺杂和Tb: Sr3La(PO4)3 (SLaPO)单晶,并对其光致发光(PL)、剂量学和成像性能进行了评价。Tb: SLaPO单晶表现出与Tb3 +离子从基态到激发态的转变相对应的PL和热激发发光(TSL)峰。未掺杂的SLaPO单晶和Tb: SLaPO单晶分别在80°C和90°C下观察到TSL发光峰。在TSL响应函数中,5 mol% Tb: SLaPO样品的TSL强度高于其他样品,检出限为0.01 mGy。5 mol% Tb: SLaPO单晶经x射线辐照后的空间分辨率为7.10 LP/mm。
{"title":"Investigation of photoluminescence, dosimetric, and imaging properties of Sr3La(PO4)3: Tb","authors":"Haruaki Ezawa,&nbsp;Takumi Kato,&nbsp;Daisuke Nakauchi,&nbsp;Noriaki Kawaguchi,&nbsp;Takayuki Yanagida","doi":"10.1016/j.ijleo.2025.172644","DOIUrl":"10.1016/j.ijleo.2025.172644","url":null,"abstract":"<div><div>We prepared the non-doped and Tb: Sr<sub>3</sub>La(PO<sub>4</sub>)<sub>3</sub> (SLaPO) single crystals with Tb concentrations ranging from 0.5 to 10 mol% using the floating zone method and evaluated photoluminescence (PL), dosimetric, and imaging properties. The Tb: SLaPO single crystals exhibited PL and thermally stimulated luminescence (TSL) peaks corresponding to the transitions from the ground state to the excited states of Tb<sup>3 +</sup> ions. The TSL glow peaks were observed at 80°C for the non-doped SLaPO single crystal and 90°C for Tb: SLaPO single crystals. In the TSL does response function, the 5 mol% Tb: SLaPO sample showed a higher TSL intensity compared to the other samples with a detection limit of 0.01 mGy. Additionally, the 5 mol% Tb: SLaPO single crystal indicated a spatial resolution of 7.10 LP/mm after X-ray irradiation.</div></div>","PeriodicalId":19513,"journal":{"name":"Optik","volume":"346 ","pages":"Article 172644"},"PeriodicalIF":3.1,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An intelligent adaptive hybrid learning-based detection framework to evade DDoS attack for secure virtualized infrastructures in cloud computing environment 针对云计算环境下安全的虚拟化基础设施,提出了一种基于智能自适应混合学习的DDoS攻击检测框架
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-12 DOI: 10.1016/j.ijleo.2025.172641
Chinnala Balakrishna , Sanaboina Leela Krishna , Sridhar Mourya , B. Giridhar , Chaluvadi V. Raghavendran , Sudha Singaraju
“Cloud computing has transformed technology” with its unmatched scalability and ease of access, allowing users to leverage services under a flexible pay-as-you-go model. Distributed Denial of Service (DDoS) attacks hijack many distributed devices to overwhelm systems, making them a persistent cybersecurity concern. Although there are various detection methods already, the growing complexity and frequency of these threats demand more resilient and adaptive security solutions. Existing detection methods frequently fall short in effectively handling the dynamic nature of cloud environments. These limitations collectively motivate the development of more robust and integrated approaches. As a result, this study presents a new architecture for detecting DDoS attacks in virtual cloud computing systems using the Adaptive Hybrid Learning (AHyL) approach. Initially, datasets are collected from publicly available standard sources. Then, the gathered data undergoes data preprocessing to improve its quality. Subsequently, a Spatial Cross-Attention-based Fuzzy Autoencoder (SCA-FAE) is employed to extract robust features. The combination of Spatial Cross-Attention (SCA) and Fuzzy Autoencoder (FAE) in the SCA-FAE approach offers the distinctive advantage by leveraging spatial correlations and handling data uncertainty. These extracted features are forwarded to the AHyL model for the detection process. This offers the distinctive advantage of integrating an Extreme Learning Machine (ELM) with a Residual Recurrent Neural Network (Res-RNN) to balance high-speed processing. Prediction performance is further enhanced by optimizing the model’s parameters using the Random Number Updated Hippopotamus Optimization (RNU-HO) algorithm. Finally, a comparative evaluation shows that the proposed technique significantly outperforms traditional approaches.
“云计算已经改变了技术”,它具有无与伦比的可扩展性和易于访问性,允许用户在灵活的现收现付模式下利用服务。分布式拒绝服务(DDoS)攻击劫持了许多分布式设备,使系统不堪重负,使它们成为持久的网络安全问题。尽管已经有各种检测方法,但这些威胁的复杂性和频率不断增加,需要更具弹性和适应性的安全解决方案。现有的检测方法往往不能有效地处理云环境的动态性。这些限制共同促使开发更健壮和集成的方法。因此,本研究提出了一种新的架构,用于使用自适应混合学习(AHyL)方法检测虚拟云计算系统中的DDoS攻击。最初,数据集是从公开可用的标准来源收集的。然后对采集到的数据进行预处理,提高数据质量。随后,采用基于空间交叉注意的模糊自编码器(SCA-FAE)提取鲁棒特征。在SCA-FAE方法中,空间交叉注意(SCA)和模糊自编码器(FAE)的结合通过利用空间相关性和处理数据不确定性提供了独特的优势。这些提取的特征被转发到AHyL模型进行检测过程。这提供了将极限学习机(ELM)与残差递归神经网络(Res-RNN)集成以平衡高速处理的独特优势。通过使用随机数更新河马优化(RNU-HO)算法优化模型参数,进一步提高了预测性能。最后,对比评价表明,该方法明显优于传统方法。
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引用次数: 0
Reflecting solitons and their rotation of trajectories in PT-symmetry nonlinear Schrödinger equation with nonlocal cubic-quintic interaction 具有非局部三次五次相互作用的pt对称非线性Schrödinger方程中孤子及其轨迹旋转的反映
IF 3.1 3区 物理与天体物理 Q2 Engineering Pub Date : 2025-12-12 DOI: 10.1016/j.ijleo.2025.172640
P.S. Vinayagam , S. Mahendran , S. Thaarini , P. Sabeenadevi
In this work, we investigate an integrable nonlocal cubic–quintic nonlinear Schrödinger (NLS) equation that incorporates both nonlocal cubic and nonlocal quintic interactions, a model that is physically relevant for describing beam propagation in highly nonlinear nonlocal optical media as well as matter-wave dynamics in Bose–Einstein condensates (BECs) with long-range interactions and engineered PT-symmetric potentials. Using a modified Darboux transformation and a nontrivial plane-wave seed, we derive a more general class of soliton solutions that enables us to uncover two key dynamical features that have not been reported for higher-order nonlocal integrable systems. First, we show that the evolution of the field Q(x,t) exhibits an exact PT-symmetric mirror reflection in its conjugate mode Q(x,t) for all soliton families—Bright–Bright, Dark–Dark, Bright–Dark, and Dark–Bright—demonstrating that the full soliton dynamics respects the intrinsic nonlocal PT symmetry of the model. Second, we provide physical insight into the mechanism by showing that the spectral parameter governs the phase and velocity structure of individual solitons, while the cubic–quintic nonlocal terms generate an effective PT-symmetric nonlocal potential that constrains one soliton while allowing the other to undergo rotation. For mixed bound states, the inherent asymmetry of the bright and dark backgrounds limits the achievable rotation angle, resulting in a less flexible dynamical response. The combined observation of PT-symmetric reflection and controllable trajectory rotation demonstrates the richness of nonlinear wave propagation in this integrable nonlocal model. These results offer potential applications in nonlinear optics, such as all-optical switching, trajectory-controlled soliton routing, and beam steering in PT-symmetric photonic structures, as well as in BEC systems where nonlocal interactions and symmetry-engineered potentials play a major role in manipulating matter-wave solitons.
在这项工作中,我们研究了一个可积的非局部三次五次非线性Schrödinger (NLS)方程,它包含了非局部三次和非局部五次相互作用,这是一个物理上相关的模型,用于描述高度非线性非局部光学介质中的光束传播,以及具有远程相互作用和工程pt对称势的玻色-爱因斯坦凝聚(BECs)中的物质波动力学。利用改进的Darboux变换和非平凡平面波种子,我们推导了一类更一般的孤子解,使我们能够揭示高阶非局部可积系统中尚未报道的两个关键动力学特征。首先,我们证明了场Q(x,t)的演化在其共轭模式Q *(−x,t)中对所有孤子族(bright - bright, Dark-Dark, Bright-Dark和dark - bright)表现出精确的PT对称镜像反射,证明了完整的孤子动力学尊重模型的固有非局部PT对称性。其次,我们通过显示谱参数控制单个孤子的相位和速度结构,而三次五次非局部项产生有效的pt对称非局部势,从而约束一个孤子,同时允许另一个孤子进行旋转,从而提供了对机制的物理见解。对于混合束缚态,明暗背景的固有不对称性限制了可实现的旋转角度,导致动态响应的灵活性较差。pt对称反射和可控轨迹旋转的联合观测证明了该可积非局部模型中非线性波传播的丰富性。这些结果为非线性光学提供了潜在的应用,例如pt对称光子结构中的全光开关、轨迹控制孤子路由和光束转向,以及非局部相互作用和对称工程势在操纵物质波孤子中起主要作用的BEC系统。
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