P2P网络信誉机制研究综述

随着P2P技术应用日益广泛,大量存在的恶意行为严重影响了P2P系统的可用性和服务质量.已有工作表明,建立信誉机制是解决该问题的有效方案.首先介绍P2P信誉机制的主要研究内容,然后重点从信誉信息的存储和共享技术、信誉信息的聚合算法、信誉信息的激励方式3个方面对当前的研究工作进行了总结和比较,最后探讨了信誉机制的主要设计原则.     

基于内容分组与能力匹配的邻居选择算法

邻居选择算法是影响P2P文件共享系统的整体吞吐量和带宽利用率的关键技术之一.目前BT类P2P文件共享系统中的一些常用邻居选择算法一般存在着邻居节点间的内容可交换性差和带宽利用率低等问题.提出一种新的邻居选择算法,将节点按内容分组,由节点上报的上传、下载的字节数计算出带宽能力,让能力匹配的节点成为邻居.计算机仿真实验表明,新算法显著地提高文件共享系统的整体吞吐量,减少用户的平均下载时间,从而有效地改善P2P文件共享系统的整体性能.     

信息与计算科学专业实践教学体系的探索与优化

信息与计算科学专业是联系数学与信息科学的一门新兴专业,目前很多学校开设了这个专业,很多学校已具有较完善的理论课程,但实践教学体系尚不完善,对学生的创新能力培养非常不利。我们经过多年的积淀,并结合专业培养目标,对信息与计算科学专业的实践教学体系进行探索与优化。     

基于动态贝叶斯网络的社交圈归属匹配模型

为了帮助社交网中新成员寻找与之最为合适的社交圈,尝试采用动态贝叶斯网（DBN）理论解决社交网分析应用中成员（节点）与社交圈（集合）的匹配问题。将圈内成员个人的多项兴趣爱好程度作为描述社交圈基本属性的特征向量,对每一类圈子建立了带有辅助信息形式的DBN模型,求解最大输出概率即为最佳匹配对象。结果表明,在客观测试和主观评价两方面,该模型都收到了较为满意的结果。     

基于PCI总线高解析喷码机的FPGA设计与实现

介绍了一种采用XJ128按需喷印喷头,利用FPGA实现的高解析喷码机系统的组成,详细阐述了基于PCI高速总线控制,驱动两个XJ128喷头的FPGA设计与实现的过程,然后给出了成功设计实现的喷印样品.     

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.     

Monitoring the Dynamic Process of Formation of Plasmonic Molecular Junctions during Single Nanoparticle Collisions

The capability to study the dynamic formation of plasmonic molecular junction is of fundamental importance, and it will provide new insights into molecular electronics/plasmonics, single‐entity electrochemistry, and nanooptoelectronics. Here, a facile method to form plasmonic molecular junctions is reported by utilizing single gold nanoparticle (NP) collision events at a highly curved gold nanoelectrode modified with a self‐assembled monolayer. By using time‐resolved electrochemical current measurement and surface‐enhanced Raman scattering spectroscopy, the current changes and the evolution of interfacial chemical bonding are successfully observed in the newly formed molecular tunnel junctions during and after the gold NP “hit‐n‐stay” and “hit‐n‐run” collision events. The results lead to an in‐depth understanding of the single NP motion and the associated molecular level changes during the formation of the plasmonic molecular junctions in a single NP collision event. This method also provides a new platform to study molecular changes at the single molecule level during electron transport in a dynamic molecular tunnel junction.     

Silicon-based microelectrode arrays for stimulation and signal recording of in vitro cultured neurons

Microelectrode arrays (MEAs) for stimulation and signal recording of in vitro cultured neurons are presented.Each MEA is composed of 60 independent electrodes with 59 working ones and one reference one.These electrodes are divided into 30 pairs.Through each pair of electrodes,four independent states can be realized to define the accessing modes of neurons cultured on the surface of the electrodes.A total MEA covers an area of 10 mm×10 mm.MEAs are fabricated in a silicon-based semiconductor process.An implemented MEA is bonded on a specially designed printed-circuit-board (PCB) and surrounded by a culture chamber.An impedance measurement has been made to verify the electrical characteristics of MEAs.The surface was modified to enhance the biocompatibility.A series of PC12 cells culture experiments validates the effectiveness of the modification.An extracellular signal recording experiment with acetylcholine (Ach) as a stimulant has been carried out,and the results show the feasibility of MEAs for extracellular action potential recording.Extracellular electrical stimulation and recording experiments have been carried out too.They indicate that MEAs can be used for extracellular stimulation,recording,simultaneous stimulation and recording,and isolation of PC12 cells network cultured in vitro.     

案例教学在C#.NET中的应用

在当今社会,传统的教学方式和手段使学生对C#.NET这门课程普遍感觉枯燥无味,难以达到良好的教学效果,只有采用良好的教学模式才能够激发学生学习的主动性、能够激发学生学习的热情。该文谈谈怎样使用案例教学培养学生的兴趣,培养学生的动手实践能力和创造能力,掌握C#.NET编程技术。     

基于专家系统的回转窑窑头工况识别

针对新型干法水泥生产线窑头环节非线性、多变量、强耦合、大时滞等特性导致的工况复杂,控制难度大的问题,在深入分析窑头工况特点的基础上,提出了一种基于专家系统的工况智能识别方法.该方法首先对从集散控制系统中采集的现场参数实时值进行数据预处理,运用ART-2神经网络算法对关键参数的变化趋势进行在线辨识,并输出趋势类别,同时对主要参数的实时值进行模糊化处理,输出模糊档位.基于专家规则的工况识别系统根据参数的辨识结果,通过精确推理输出当前工况.工况识别软件采用c++编写,现场实际运行表明了该方案的正确性和实用性.