海外赛博朋克研究前沿问题追踪

赛博朋克是科幻小说的一个流派,它关注高科技语境下的边缘人群.与传统科幻小说不同的是,赛博朋克叙述的科学技术不仅是可能发生的,而且有些技术处于正在使用状态.目前学界关注的热点是:关于威廉·吉布森的<神经漫游者>的研究;关于赛博朋克主题的研究,包括人类未来的赛博生活与精神生活;还有蒸汽朋克的研究.赛博朋克在顺应、预测人类可能的生活的同时,也从人文精神角度对人机生活的诸多问题进行了反乌托邦式的反思,而这种反思正是单一科学主义的解毒剂.     

Electrochemical analysis of dye adsorption on aligned carbon nanofiber arrays coated with TiO2 nanoneedles for dye-sensitized solar cell

An electrochemical method has been developed to analyze dye absorption on the aligned carbon nanofiber arrays coated with TiO2 nanoneedles for dyesensitized solar cell. The unique nanostructure with the roughness factor of 90.6 provides a large effective surface area for dye adsorption. The experimental results showed that the dye molecules cover 39.7% of the TiO2 surface area which influences the performance of dye-sensitized solar cell. The electrochemical method provides the information of the coverage of dye molecules which is a key issue to optimize solar cell performance.     

指向标识设置间距及设置位置对路效率影响的虚拟研究

为研究在有岔道口的通道上标识设置对行人寻路效率的影响,本文利用Quest3D软件构建虚拟空间,在虚拟空间中对上述问题展开实验研究.通过分组实验的方式,让不同组的实验者在不同标识设置参数的虚拟空间中行走,并采集实验者的实验数据,实验数据显示当标识间距大于50m时或者标识缺失而不远处有类似标识影响时寻路效率会明显下降.因此在有岔道口的通道上标识的设置距离应当小于50m,同时合理设置标识位置,防止与寻路无关的类似标识进入行人视线.     

顶管施工导致堤防损坏原因的分析及修复措施

结合顶管穿越汉江干堤工程实例,详细分析了顶管施工使堤防损坏的原因,介绍了堤防修复措施,总结了顶管施工过程中应注意的关键问题.     

An approximation method of origin–destination flow traffic from link load counts

Traffic matrix (TM) is a key input of traffic engineering and network management. However, it is significantly difficult to attain TM directly, and so TM estimation is so far an interesting topic. Though many methods of TM estimation are proposed, TM is generally unavailable in the large-scale IP backbone networks and is difficult to be estimated accurately. This paper proposes a novel method of TM estimation in large-scale IP backbone networks, which is based on the generalized regression neural network (GRNN), called GRNN TM estimation (GRNNTME) method. Firstly, building on top of GRNN, we present a multi-input and multi-output model of large-scale TM estimation. Because of the powerful capability of learning and generalizing of GRNN, the output of our model can sufficiently capture the spatio-temporal correlations of TM. This ensures that the estimation of TM can accurately be attained. And then GRNNTME uses the procedure of data posttreating further to make the output of our model closer to real value. Finally, we use the real data from the Abilene Network to validate GRNNTME. Simulation results show that GRNNTME can perform well the accurate and fast estimation of TM, track its dynamics, and holds the stronger robustness and lower estimation errors.     

轧辊修磨表面质量缺陷分析及对策

介绍六辊轧机工作辊、中间辊修磨缺陷的规律特征,通过实际工艺分析以及经验的积累判断表面质量问题产生的原因,并提出解决表面质量问题和检测方法的可行性方案。     

炭纤维表面BN涂层的制备及其介电性能

采用化学转化法在炭纤维表面制备BN涂层。首先将炭纤维浸渍硼酸和尿素的混合溶液,然后在N2气氛和不同温度下(700、800、900和1 000℃)热处理2 h。利用X射线衍射(XRD)、扫描电镜(SEM)、红外光谱仪(IR)和X射线光电子能谱(XPS)对BN涂层的物相、形貌和成分进行分析,研究热处理温度对BN涂层结构的影响,以及涂层对炭纤维介电性能的影响。结果表明:浸涂了硼酸和尿素溶液的炭纤维在N2气氛下于800℃热处理2h,可制得较为均匀的BN涂层;随着浸涂-热处理次数增加,涂层质量得到改善,浸涂-热处理3次后炭纤维表面涂层均匀连续,涂层厚度约390 nm,且无剥落或开裂现象;但浸涂-热处理次数超过3次后,涂层出现剥落和开裂现象,涂层质量变差;3次浸涂-热处理后的炭纤维介电常数实部ε’为26.54~9.15,虚部ε为35.8~31.7,与未处理炭纤维(ε’=31.6~6.3,ε=55.6~40.6)相比,ε下降,ε’升高。