计算机网络安全及防范策略探究

随着计算机科学技术的发展,计算机网络已广泛用于经济、军事、教育等各个领域。因此,计算机的网络安全便成为涉及个人、单位、社会、国家信息安全的重大问题。如何保障网络信息的安全已成为当前人们迫在眉睫需要解决的问题。本文就计算机网络安全技术及相关策略提出了一点粗浅的看法。     

高校网络实验室建设方案探讨与设计

高校强调培养动手能力强、生产一线的技术型人才,很多高校瞄准市场对网络人才的需求,纷纷开办网络专业,但目前很多学校网络专业没有很好的实训条件的支撑,导致毕业的学生动手能力不强,不受市场欢迎的尴尬局面．针对这种现象文章论述了建设网络实验室的意义．提出建设的原则。给出满足当前网络技术需求的网络实验室典型解决方案,在此方案基础上设计了网络实验的内容．     

电力监控系统的跨平台解决方案

随着应用的发展,电力监控系统越来越大型化,跨平台的应用越来越多.本文阐述了采用分层归纳的设计思想,归纳电力系统数据处理的逻辑应用层,包装与具体操作系统密切相关的操作系统层,提炼与具体操作系统进程机制有关的程序框架,来实现电力监控软件系统的跨平台应用.并以C语言为主要编程语言进行了电力监控系统跨平台实现,结果表明该方法能够跨越Windows、Linux、Solaris等平台,达到源代码级的跨平台效果.     

基于嵌入式微处理器S3C44B0X的USB通信

基于ARM7内核S3C44B0X微处理器和USB接口芯片PDIUSBD12,详细设计了S3C44B0X与芯片PDIUSBD12的连接方法,搭建了以二者为基础的嵌入式工作平台.基于此工作平台,实现了以微处理器S3C44B0X为核心的嵌入式系统中扩展USB接口,并给出了具体实现程序.     

Stabilizing Redox-Active Hexaazatriphenylene in a 2D Conductive Metal–Organic Framework for Improved Lithium Storage Performance

Organic redox-active materials are promising electrode candidates for lithium-ion batteries by virtue of their designable structure and cost-effectiveness. However, their poor electrical conductivity and high solubility in organic electrolytes limit the device's performance and practical applications. Herein, the π-conjugated nitrogen-containing heteroaromatic molecule hexaazatriphenylene (HATN) is strategically embedded with redox-active centers in the skeleton of a Cu-based 2D conductive metal–organic framework (2D c-MOF) to optimize the lithium (Li) storage performance of organic electrodes, which delivers improved specific capacity (763 mAh g⁻¹ at 300 mA g⁻¹), long-term cycling stability (≈90% capacity retention after 600 cycles at 300 mA g⁻¹), and excellent rate performance. The correlation of experimental and computational results confirms that this high Li storage performance derives from the maximum number of active sites (CN sites in the HATN unit and CO sites in the CuO₄ unit), favorable electrical conductivity, and efficient mass transfer channels. This strategy of integrating multiple redox-active moieties into the 2D c-MOF opens up a new avenue for the design of high-performance electrode materials.     

Lightweight deep learning methods for panoramic dental X-ray image segmentation

Neural Computing and Applications - Dental X-ray image segmentation is helpful for assisting clinicians to examine tooth conditions and identify dental diseases. Fast and lightweight segmentation...     

跨谱段SAR散射中心多维参数解耦和估计方法

微波光子雷达发射大带宽跨谱段的信号,为目标的精细电磁特性描述和准确识别提供基础的同时,也亟需与之相应的大带宽大转角情况下的电磁模型参数提取方法.相比窄带条件,跨谱段信号数据量大,所含物理量信息维度高且复杂,大转角情况下距离和方位向耦合.该文提出跨谱段SAR散射中心多维参数解耦和估计方法,首先结合极坐标格式算法(PFA)和属性散射中心模型构造2维解耦波数域散射中心模型,再结合坐标下降法(CDA)将复杂的高维耦合参数估计方法简化为循环迭代的1维参数估计方法,有效降低字典维度和估计复杂度,并引入Hooke-Jeeves算法提高估计精度.最后根据各个散射中心的参数估计结果对它们的结构和位置进行识别,对仿真数据的处理实验验证了该文方法的有效性.     

Avoiding negative elastic moduli when using Lagrange interpolation for material grading in finite element analysis

Polynomial interpolations, one of the most common interpolations used in finite element methods (FEMs), are a workhorse of many FEM codes. These interpolations are readily available for all kinds of elements, and using them for modeling the variation of elastic moduli in graded elements is thus both convenient and natural. Yet, like all polynomial interpolations, they can be prone to oscillations that can result in regions of negative elastic modulus in the element, even with only positive nodal values of elastic moduli. The result of these negative modulus regions, even if the region is small, can be unexpected singularities in the solution. This defeats the purpose of using polynomial interpolations for capturing material grading in the element. We demonstrate the issue using three-node quadratic Lagrange interpolations of material grading in otherwise isoparametric p-type elements and show how to avoid this problem.