文章深入研究了在相互依存网络中引入可控耦合机制以及融合节点适应度特性对意见动态特性的影响。通过概率互联和通信控制耦合强度,实现了对网络间交互程度的精准调节。系统中的每个代理不仅具有二元意见状态(+或−),还包含适应度参数k,该参数随时间演化,其分布与代理的意见状态耦合,使得系统动态地发展出异质性和类似记忆的行为特征。通过调整概率h,即控制高适应度节点采取特定意见的倾向性,文章研究了在不同h条件下,系统收敛时间τ与系统规模N之间的关系。结果表明,τ~N,即二者呈线性关系。此外,耦合强度的变化会引发收敛时间的突变,反映出系统对该参数的高度敏感性。强耦合会加剧k值分布的极化性,导致分布呈现明显的群集态和辐射态。这种现象增强了相互依存网络间的同步性和一致性。然而,当初始意见分布满足d > 0.5(即+状态占比大于50%)时,耦合强度的增加会加剧网络间的纠缠程度,从而显著减缓系统的收敛过程。这些研究结果揭示了耦合机制与节点适应度在塑造复杂相互依存网络意见形成动态过程中的关键作用。This paper conducted an in-depth study of opinion dynamics on interdependent networks by introducing a controllable coupling mechanism and integrating node fitness characteristics into the system. The coupling strength is regulated through probabilistic interconnections and communication channels, enabling precise control over the degree of interaction between networks. Each agent in the system is characterized not only by a binary opinion state (+ or −) but also by a fitness parameter k, which evolves over time. The distribution of k is dynamically coupled with the opinions of the agents, allowing the system to naturally develop heterogeneity and memory-like behavior. By adjusting the probability h, which governs the tendency of high-fitness nodes to adopt specific opinions, this paper examined the relationship between the system’s convergence time (τ) and its size (N) under varying coupling strengths. Our findings reveal that τ~N, indicating a linear relationship. Moreover, changes in coupling strength can induce abrupt transitions in convergence time, reflecting a highly sensitive dependence on this parameter. Strong coupling amplifies the polarization of the k-value distribution, leading to the emergence of distinct clustered and radial states. This phenomenon enhances synchronization and consensus across interdependent networks. However, when the initial distribution of + and − states satisfies d > 0.5, an increase in coupling strength exacerbates the entanglement between networks, thereby significantly slowing down the converge
从单张野外图片生成高保真3D人脸纹理是一项具有挑战的工作,现有方法在颜色和光照恢复方面已经取得了显著的进展,但是却仍然无法较好地重建中高频纹理细节。其主要原因在于真实面部UV纹理数据集的匮乏,现有模型大多基于合成UV纹理图训练模型,由于缺少真实标签的监督其与真实UV纹理相比必然存在较大的差异,从而导致模型学习到错误的纹理分布。基于以上思考,我们尝试使用原始图片空间中的细节纹理来引导UV空间中UV纹理图的生成,并提出两阶段训练方式以缓解仅使用合成UV纹理图训练模型带来的个性化细节缺失问题。此外,借助于扩散模型在图像生成任务中的卓越性能,我们还设计了一款跨域引导扩散模型,其将空间域和频率域中的细节信息编码为高级语义条件,用来引导扩散模型的生成过程,从而实现近乎精确的重建。最后,我们将跨域引导扩散模型作为UV纹理生成器嵌入到三维重建框架中,用于重建高保真的3D人脸纹理。实验结果表明本文提出的跨域引导扩散模型能较好地生成中高频纹理细节,并在定量和定性分析中明显优于其他3D人脸纹理生成工作。Generating high-fidelity 3D facial textures from a single outdoor image is a challenging task. While existing methods have made significant progress in color and lighting recovery, they still struggle to accurately reconstruct mid-to-high frequency texture details. This is primarily due to the lack of real facial UV texture datasets. Most models are trained using synthetic UV texture maps, which inherently differ from real UV textures due to the absence of ground truth supervision, leading to inaccurate texture distribution learning. In light of this, we attempt to use detailed textures from the original image space to guide the generation of UV texture maps in the UV space. We propose a two-stage training approach to alleviate the loss of personalized details caused by training models solely on synthetic UV texture maps. Additionally, leveraging the exceptional performance of diffusion models in image generation tasks, we design a cross-domain guided diffusion model. This model encodes detailed information from both spatial and frequency domains into high-level semantic conditions to guide the diffusion process for near-accurate reconstruction. Finally, we integrate the cross-domain guided diffusion model as a UV texture generator into a 3D reconstruction framework to reconstruct high-fidelity 3D facial textures. Experimental results demonstrate that our proposed cross-domain guided diffusion model effectively generates mid-to-high frequency texture details and significantly outperforms other 3D facial texture generation metho
在室内定位服务中,如何保护用户及位置服务提供商的隐私安全和提高定位实时性一直是一个具有挑战性的问题。已有的方式大都采用欧氏距离结合半同态加密算法来完成,存在定位实时性不高、双方计算开销大等问题,基于此本文提出一种结合Kumar-Hassebrook距离、半同态加密算法及其安全点积性质的定位方案,在提高定位实时性的同时,能实现对用户位置信息和服务商指纹及位置数据隐私的保护。方案采取KH距离来匹配定位用户与指纹库中指纹数据的相似度,得到最近的K个最近邻参考点;在最近邻匹配中引入了半同态加密算法,保护用户和服务商的指纹数据隐私;同时,利用其安全点积性质实现了对服务商的指纹库坐标数据的隐私保护。为降低时间开销,引入了分簇聚类和模糊簇匹配,在提高定位实时性的同时可模糊服务器端对用户所在真实的簇的判断。从理论上对所提方案的安全性,时间开销及定位性能进行了分析,并在公共数据集中进行了性能评估。与同类加密算法比较,在不降低定位性能及安全性的前提下,该方案进一步地降低了时间开销。How to protect the privacy security of users and location service providers and improve the real-time location performance has always been a challenging problem in indoor location services. Based on this, this paper proposes a solution that combines Kumar-Hassebrook distance, semi-homomorphic encryption algorithm and its security point product properties to protect the location and fingerprint data privacy of users and service providers and improve the real-time performance of positioning. The KH distance is used to match the similarity between the positioning user and the fingerprint data in the fingerprint database, and the nearest K nearest neighbor reference points are obtained. A semi-homomorphic encryption algorithm is introduced in Nearest Neighbor Matching to protect the privacy of fingerprint data of users and service providers. At the same time, the privacy protection of the fingerprint database coordinate data of the service provider is realized by using its secure dot product nature. In order to reduce the time overhead, clustering and fuzzy cluster matching are introduced, which can improve the real-time positioning and blur the judgment of the real cluster where the user is located on the server. Theoretically, the security, time overhead and positioning performance of the proposed scheme are analyzed, and the performance evaluation is carried out in the public dataset. Compared with similar encryption algorithms, the proposed scheme further reduces the time overhead without reducing the positioning performance and security
精准测量满载和卸料时颗粒物质对筒仓内壁的法向应力,掌握应力随时间和高度的变化规律,与筒仓的安全运行密切相关。本文设计了一种基于全桥电路的电阻应变式传感器,通过搭建筒仓应力测量系统,采用均值粒径为1.29 mm的透明玻璃珠进行实验,测量筒仓静态堆积和卸料过程中的壁面法向应力。静态应力的测量结果表明,颗粒填充完成后,在圆柱形部分出现了静态应力随着高度的降低而减小的区域,这与Janssen模型不一致。然后我们分析了每一个检测点在卸料过程中动态应力最大值的时空分布,结果表明,动态应力最大值出现在圆柱形中下部分,而不是筒仓几何转变处。最后我们计算了最大动态应力与静态应力的比值,得到了每个检测点的超压系数,发现超压系数最大值出现在H = 215 mm处。该研究对筒仓结构设计具有重要意义,有助于对应力增幅显著的区域进行结构优化,为提高筒仓的安全性和耐久性提供了关键参考。Accurately measuring the normal pressure exerted by granular materials on the inner walls of silos during loading and unloading, and understanding the variation of pressure over time and height, is closely related to the safe operation of silos. This study designed a resistive strain gauge sensor based on a full-bridge circuit and constructed a silo pressure measurement system. Experiments were conducted using transparent glass beads with an average particle size of 1.29 mm to measure the normal pressure on the silo walls during static filling and unloading processes. The results of static pressure measurements showed that, after filling, a region in the cylindrical section exhibited a decrease in static pressure with decreasing height, which is inconsistent with the predictions of the Janssen model. Subsequently, we analyzed the spatiotemporal distribution of the maximum dynamic pressure at each measurement point during unloading. The results showed that the maximum dynamic pressure occurred in the lower-middle part of the cylindrical section rather than at the geometric transition of the silo. Finally, we calculated the ratio of the maximum dynamic pressure to the static pressure at each measurement point to obtain the overpressure coefficient, and found that the maximum overpressure coefficient appeared at H = 215 mm. This study is of great significance to the structural design of silos, as it helps optimize the structure in regions with significant pressure amplification during unloading, providing key references for improving the safety and durability of silo operations.
在航空和汽车等领域,抬头显示技术(Head-Up Display, HUD)的应用日益广泛。鉴于现代社会用眼负荷增加,本研究针对青少年近视问题,提出了一种具有大视场角、低畸变特性的抬头显示系统设计方案。该系统设计考虑了8米远的投影距离,旨在通过减少用眼负担来预防近视的发展。同时考虑到自由曲面在光学设计中高度的设计自由度,以及其对畸变的有效控制,对系统进行了进一步优化。本文通过光学设计软件Code V进行设计与优化,所设计的两版系统在成像性能上均满足了既定要求,全视场角达到30˚,同时将畸变控制在5%以内。此外,本研究还涉及了样机的制造和实际体验测试,以验证所提出设计方案的可行性。通过实际应用测试,进一步证实了该抬头显示系统设计的有效性和实用性,为未来相关技术的发展和应用提供了科学依据和实践指导。In the fields of aviation and automobiles, the application of Head-Up Display (HUD) is becoming more and more extensive. In view of the increasing eye load in modern society, this study proposes a design scheme of a head-up display system with a large field of view and low distortion characteristics for the problem of juvenile myopia. The system design takes into account the projection distance of 8 meters away, aiming to prevent the development of myopia by reducing the burden on the eye. Considering the high degree of design freedom of freeform surface in optical design and its effective control of distortion, the system is further optimized. In this paper, the optical design software Code V is used for design and optimization. The two designed versions of the system meet the established requirements in terms of imaging performance. The full field of view angle is up to 30˚, and the distortion is controlled within 5%. In addition, this study also involves prototype manufacturing and actual experience testing to verify the feasibility of the proposed design. Through the practical application test, the effectiveness and practicability of the design of the head-up display system are further confirmed, which provides a scientific basis and practical guidance for the development and application of related technologies in the future.
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