DFD-SS: Document Forgery Detection using Spectral – Spatial Features for Hyperspectral Images

In the present era of machines and edge-cutting technologies, still document frauds persist. They are done intuitively by using almost identical inks, that it becomes challenging to detect them—this demands an approach that efficiently investigates the document and leaves it intact. Hyperspectral imaging is one such a type of approach that captures the images from hundreds to thousands of spectral bands and analyzes the images through their spectral and spatial features, which is not possible by conventional imaging. Deep learning is an edge-cutting technology known for solving critical problems in various domains. Utilizing supervised learning imposes constraints on its usage in real scenarios, as the inks used in forgery are not known prior. Therefore, it is beneficial to use unsupervised learning. An unsupervised feature extraction through a Convolutional Autoencoder (CAE) followed by Logistic Regression (LR) for classification is proposed (CAE-LR). Feature extraction is evolved around spectral bands, spatial patches, and spectral-spatial patches. We inspected the impact of spectral, spatial, and spectral-spatial features by mixing inks in equal and unequal proportion using CAE-LR on the UWA writing ink hyperspectral images dataset for blue and black inks. Hyperspectral images are captured at multiple correlated spectral bands, resulting in information redundancy handled by restoring certain principal components. The proposed approach is compared with eight state-of-art approaches used by the researchers. The results depicted that by using the combination of spectral and spatial patches, the classification accuracy enhanced by 4.85% for black inks and 0.13% for blue inks compared to state-of-art results. In the present scenario, the primary area concern is to identify and detect the almost similar inks used in document forgery, are efficiently managed by the proposed approach.     

贵阳都市圈的空间结构分析与优化策略研究*

都市圈已经成为新型城镇化推进的主 要战略空间，在推进区域一体化发展中发挥着重 要作用。贵阳都市圈的建设对于西南地区的高质 量发展具有重要意义。基于空间相互作用理论， 研究通过建立城市综合质量评价指标体系、修 正引力模型、断裂点模型分析贵阳都市圈的空 间结构特征，结果表明贵阳都市圈呈现出核心 城市与周边城镇空间发展不均衡、强核心—弱 边缘的圈层式空间结构、圈层扩散及轴向放射 式的都市圈空间发展导向、距离核心城市40— 80 km断裂点区域发展滞后的空间结构特征。研 究发现贵阳都市圈仍处于初期发展阶段，核心 城市的发展能级受到生态环境及区域发展阶段 的影响，尚未形成对都市圈地区的全面带动。研 究提出需要进一步增强核心城市能级，积极培育次级中心城市，通过打造现代化产业体系、健全 交通网络强化都市圈内部联系，形成“核心—环网—放射状”的区域一体化都市圈空间结构。     

Transmission line detection in aerial images: An instance segmentation approach based on multitask neural networks

Camera-based transmission line detection (TLD) is a fundamental and crucial task for automatically patrolling powerlines by aircraft. Motivated by instance segmentation, a TLD algorithm is proposed in this paper with a novel deep neural network, i.e., CableNet. The network structure is designed based on fully convolutional networks (FCNs) with two major improvements, considering the specific appearance characteristics of transmission lines. First, overlaying dilated convolutional layers and spatial convolutional layers are configured to better represent continuous long and thin cable shapes. Second, two branches of outputs are arranged to generate multidimensional feature maps for instance segmentation. Thus, cable pixels can be detected and assigned cable IDs simultaneously. Multiple experiments are conducted on aerial images, and the results show that the proposed algorithm obtains reliable detection performance and is superior to traditional TLD methods. Meanwhile, segmented pixels can be accurately identified as cable instances, contributing to line fitting for further applications.     

静态推靠式旋转导向钻井系统的钻压传递效率

国内研制的静态推靠式旋转导向钻井系统正全面开展现场试验及初步应用,该系统正常钻进时导向翼肋施加到井壁上的静态推靠力会产生较大的摩擦力,有可能影响钻压传递效率和钻井速度。为此,基于该系统的结构及工作原理,考虑井壁无台阶和有台阶两种情况,分别建立了钻压传递效率分析模型,模拟分析了钻压传递效率随名义钻压、井壁摩擦系数,以及导向翼肋推靠力和前倒角的变化规律。研究结果表明:(1)该旋转导向系统对名义钻压有最小值要求,适当提高名义钻压有助于提高钻压传递效率;(2)无论井壁是否有台阶,如果导向翼肋推靠力之和越大、井壁摩擦系数越大,那么钻压传递效率就越低,当井壁有台阶时钻压传递效率明显低于井壁无台阶时的对应值;(3)井壁有台阶时导向翼肋前倒角对钻压传递效率影响明显,前倒角越大则钻压传递效率越低(甚至自锁)。结论认为,该研究成果有助于指导钻井现场合理选择和调控钻压。     

电力系统自动化发展方向分析

计算机技术、控制技术及信息技术的发展,电力系统自动化面临着空前的变革,多媒体技术、智能控制技术将迅速进入电力系统自动化领域。     

基于PSCAD/EMTDC软件的高压直流输电仿真教学研究

针对“高压直流输电”课程教学过程中,高压直流系统控制原理复杂抽象,直观上难以理解的特点,本文通过运用PSCAD/EMTDC仿真软件,基于CIGRE HVDC标准测试模型,对高压直流输电系统在整流侧和逆变侧交流系统分别发生故障时的运行特性进行仿真测试。教学实践表明,PSCAD/EMTDC软件的应用加强了学生对理论知识的理解,激发和培养了学生的学习兴趣和动手实践能力,有效地提升了教学效果。     

Surfactant-free electrochemical synthesis of fluoridated hydroxyapatite nanorods for biomedical applications

Fluoridated hydroxyapatite (FHA) [Ca₁₀(PO₄)₆F_x(OH)_2−x, x = 0–2] is believed to be a promising calcium phosphate (CaP) to replace pure hydroxyapatite (HA) for next-generation implants, owing to its better biocompatibility, higher antibacterial activity, and lower solubility. Notably, the shape and size of the CaP crystals play key roles in their performance and can influence their applications. One-dimensional (1D) FHA nanorods are important CaP materials which have been widely used in regenerative medicine applications such as restorative dentistry. Unfortunately, the traditional synthesis methods for FHA nanorods either employ surfactants or take a relatively long time. In this study, we aimed to propose a facile synthesis route to fabricate FHA nanorods without any surfactants using an electrochemical deposition method for the first time. This study focused on preparing FHA nanorods without the assistance of any surfactant, unlike the traditional synthesis methods, to avoid chemical impurities. FHA nanorods with lengths of 124–2606 nm, diameters of 28–211 nm, and aspect ratios of 4.4–21.8 were synthesized using the electrochemical method, followed by a heat treatment. For the as-synthesized FHA nanorods, the Ca/P ratio was 1.60 and the atomic concentration of F was 2.06 at.%. An ultrastructure examination revealed that each FHA nanorod possessed long-range order, good crystallinity, and a defect-free lattice with a certain crystallographic plane orientation along the whole rod. In short, we propose a novel, surfactant-free, cost-saving, and more efficient route to synthesize FHA nanorods which can be widely applied in multiple biomedical applications, including drug delivery, bone repair, and restorative dentistry.     

Synthesis and characterization of polycrystalline Mo2BC ceramic

Single-phase polycrystalline Mo₂BC ceramic bulks were synthesized successfully from molybdenum, boron, and graphite powders using the spark plasma sintering method. Herein, it was established that the synthesis temperature of the Mo₂BC ceramic could be as low as 1300 °C. Transmission electron microscopy (TEM) characterization confirmed that the crystal structure of the Mo₂BC ceramic was comparable to that of the MoAlB ceramic. The Vickers hardness of the Mo₂BC ceramic was measured to be 18.1 GPa. Additionally, the compressive strength, flexural strength, and fracture toughness were determined to be 1.74 GPa, 457.72 MPa, and 3.26 MPa· m^1/2, respectively. The Mo₂BC bulk exhibited typical brittle features, in which intergranular and transgranular fractures were the main failure modes.     

Enhanced graphitic domains of unreduced graphene oxide and the interplay of hydration behaviour and catalytic activity

Previous studies indicate that the properties of graphene oxide (GO) can be significantly improved by enhancing its graphitic domain size through thermal diffusion and clustering of functional groups. Remarkably, this transition takes place below the decomposition temperature of the functional groups and thus allows fine tuning of graphitic domains without compromising with the functionality of GO. By studying the transformation of GO under mild thermal treatment, we directly observe this size enhancement of graphitic domains from originally ≤40 nm² to >200 nm² through an extensive transmission electron microscopy (TEM) study. Additionally, we confirm the integrity of the functional groups during this process by a comprehensive chemical analysis. A closer look into the process confirms the theoretical predicted relevance for the room temperature stability of GO and the development of the composition of functional groups is explained with reaction pathways from theoretical calculations. We further investigate the influence of enlarged graphitic domains on the hydration behaviour of GO and the catalytic performance of single atom catalysts supported by GO. Additionally, we show that the sheet resistance of GO is reduced by several orders of magnitude during the mild thermal annealing process.