等腰三角形的模式识别

本文应用语言模式识别的方法,对三角形语言识别模式中的等腰三角形的语言识别模型进行识别。取三角形的三条边作为特征因子集,主要根据三角形的特点建立隶属函数并给出建立隶属函数的理论依据。     

基于分数傅立叶变换的机载SAR多运动目标检测

机载合成孔径雷达（SAR）运动目标回波本质上为chirp信号,基于分数阶傅里叶变换（FRFT）的chirp基分解特性及分数阶傅立叶变换与时频分布的关系,给出了一种基于FRFT的针对强度相差较大的多运动目标检测方法。与传统的WVD方法相比,FRFT是一个线性变换,因此对于多个动目标就没有交叉项的干扰,简化了处理过程降低了处理复杂度。仿真结果验证了其有效性。     

基于Windows系统的木马程序隐蔽行径分析

文章介绍了特洛伊木马的基本概念、分类及特点。针对基于Windows系统的木马分别从木马运行形式、木马通信形式、木马启动方式、以及木马程序在宿主机磁盘上的隐蔽技术进行了分析,为已知和未知木马的防范和检测提供参考。     

基于视频图像处理的交通事件检测系统

针对目前公路事件发生后不能及时有效检测与报警、事故处理延迟等不足,研究开发了一种基于视频图像处理的交通事件检测系统。利用计算机视觉与数字图像处理技术,对设置在公路上的摄像头采集的视频图像,进行事件检测算法智能处理,自动采集各种交通参数,检测交通事件并及时报警,可有效地减少交通延误,防止二次事件发生,保障道路安全。与传统交通事件检测系统相比,具有直观方便、费用低等优点,拥有良好的市场需求和实用价值。     

优化TLV编码规则

抽象语法标记ASN．1是一种ISO／ITU-T标准,描述了一种对数据进行表示、编码、传输和解码的数据格式。ISO协议体系中的应用层协议使用了ASN．1来描述它们所传输的协议数据单元。ASN．1取得成功的一个主要原因是它与几个标准化编码规则（如基本编码规则BER）相关。TLV编码是指先对Tag编码,再对Length编码,最后对Value编码。BER编码确定的编码方式就是这样的。在实际的通信中,通常特定类型编码中数据的长度是已知的,在数据字典中有明确的标识。提出了一种优化TLV编码的方法,使用一个比特的标志位,将长度字段作为编码中一个可选择的项目,而不是必须存在的项目,以此来缩短TLV编码的长度。在满足需求的前提下,优化后的TLV编码可以大幅度地提高数据传输效率。     

从QQ的登录方式谈QQ聊天为什么会丢失信息

本文通过介绍Internet通信的两种方式-遵循TCP协议的面向连接传送方式和遵循UDP协议的无连接的传送方式,讨论了腾讯QQ的不同登录方式,并说明了不同的登录方式对数据传送的影响。     

应用NURBS曲面磨光多面体

本文应用ＮＵＲＢＳ曲面磨光多面体,产生了处处Ｃ′连续的过渡曲面．多面体的磨光分为边的磨光和顶点的磨光两种情形,边的磨光相对较容易,而顶点的磨光则很困难．本文所采用的应用ＮＵＲＢＳ曲面磨光多面体的顶点和边的方法,不仅可以统一实现二者的磨光操作,而且方法简单且统一,产生了Ｃ′连续的过渡面．较之以前的方法,首先,利用ＮＵＲＢＳ曲面可以精确地描述对边磨光所用的柱面（等半径或非等半径）,其次,在对顶点的磨光中,同以往的方法不同,将与该顶点相邻的边的过渡曲面相互分离,并首次引入了“补面”的概念,使得对该点所产生的过渡曲面处处Ｃ′连续．本算法首先构造用以磨光多面体顶点和边的ＮＵＲＢＳ曲面的边界曲线网络图产生边界曲线的控制点及其权值（ＮＵＲＢＳ表示）,然后依据连续性准则,产生ＮＵＲＢＳ曲面的控制信息．     

Amine Coordinated Electron-Rich Palladium Nanoparticles for Electrochemical Hydrogenation of Benzaldehyde

Electrocatalytic hydrogenation (ECH) is a burgeoning strategy for the sustainable utilization of hydrogen. However, how to effectively suppress the competitive hydrogen evolution reaction (HER) is a big challenge to ECH catalysis. In this study, amine (NH₂ R)-coordinated Pd nanoparticles loaded on carbon felt (Pd@CF) as a catalyst is successfully synthesized by a one-step solvothermal reduction method using oleylamine as the reducing agent. An exceptional ECH reactivity on benzaldehyde is achieved on the optimal Pd@CF catalyst in terms of a high conversion (89.7%) and selectivity toward benzyl alcohol (89.8%) at −0.4 V in 60 min. Notably, the Faradaic efficiency for producing benzyl alcohol is up to 90.2%, much higher than that catalyzed by Pd@CF-without N-group (41.1%) and thecommercial Pd/C (20.9%). The excellent ECH performance of Pd@CF can be attributed to the enriched electrons on Pd surface resulted from the introduction of NH₂ R groups, which strengthens both the adsorption of benzaldehyde and the adsorbed hydrogen (H_ads) on Pd, preventing the combination of H_ads to form H₂, that is, inhibiting the HER. This study gives a new insight into design principles of highly efficient electrocatalysts for the hydrogenation of unsaturated aldehydes molecules.     

Macrophage Membrane-Coated Nanoparticles Sensitize Glioblastoma to Radiation by Suppressing Proneural–Mesenchymal Transformation in Glioma Stem Cells

Radiotherapy is identified as a crucial treatment for patients with glioblastoma, but recurrence is inevitable. The efficacy of radiotherapy is severely hampered partially due to the tumor evolution. Growing evidence suggests that proneural glioma stem cells can acquire mesenchymal features coupled with increased radioresistance. Thus, a better understanding of mechanisms underlying tumor subclonal evolution may develop new strategies. Herein, data highlighting a positive correlation between the accumulation of macrophage in the glioblastoma microenvironment after irradiation and mesenchymal transdifferentiation in glioblastoma are presented. Mechanistically, elevated production of inflammatory cytokines released by macrophages promotes mesenchymal transition in an NF-κB-dependent manner. Hence, rationally designed macrophage membrane-coated porous mesoporous silica nanoparticles (MMNs) in which therapeutic anti-NF-κB peptides are loaded for enhancing radiotherapy of glioblastoma are constructed. The combination of MMNs and fractionated irradiation results in the blockage of tumor evolution and therapy resistance in glioblastoma-bearing mice. Intriguingly, the macrophage invasion across the blood-brain barrier is inhibited competitively by MMNs, suggesting that these nanoparticles can fundamentally halt the evolution of radioresistant clones. Taken together, the biomimetic MMNs represent a promising strategy that prevents mesenchymal transition and improves therapeutic response to irradiation as well as overall survival in patients with glioblastoma.     

Simulation and analysis of edge ghosting for microcapsule e-paper based on particle dynamics and light scattering model

Electronic paper (e-paper) is a reflective display technology with unique advantages, such as bistability, low-power consumption, and high ambient contrast ratio. These features make e-paper a promising candidate for future Internet of Things applications. Among different technologies of e-paper, electrophoretic display (EPD) is the most successful one for commercialization. However, the edge ghosting (also known as the fringing effect) still limits the performance of EPD. Herein, we established a model of particle dynamics of electrophoresis, simulated the edge ghosting of microcapsule EPD, analyzed the edge ghosting effect, and revealed the relationship between thicknesses, dielectric constants of the back binder layer, and the edge ghosting. Two EPD panels with different thicknesses of back binder layer were demonstrated, which verifies the accuracy of this simulation model. With the proposed model, many device mechanisms and product issues can be analyzed and illustrated, which is supposed to guide the researchers in optimizing the device structure design of EPD.