基于树形解压缩器的低测试数据量方法

提出一种由异或门按照完全二叉树形状排列而成的树形向量解压缩器。该解压缩器的少数输出端需要由大部分的输入端来确定,而且该结构对其输出值的确定关系类似于扫描链中确定位的分布概率,可有效降低测试数据量。实验结果表明,对于ISCAS’89基准电路,该结构最高将测试数据量压缩了77倍。     

Nanotextured superhydrophobic micromesh

A superhydrophobic micromesh covered with nanoprotrusions has been introduced and its applicability to a waterproof mobile phone speaker has been evaluated. The nanotextured superhydrophobic micromesh showed excellent water repellency, self-cleaning and waterproofing performances. In a waterproof speaker test using the fabricated nanotextured micromesh, the micromesh did not lose its waterproof function at 2 m water depth and did not form a remnant water film after being removed from the water. The packaged speaker showed almost the same sound quality before and after dipping at a 2 m water depth. These results demonstrate that the superhydrophobic nanotextured micromesh could be directly applicable for various products that need to resist water penetration, yet allow the transmission of gases and sound/light waves.     

A photoluminescence-based quantum semiconductor biosensor for rapid in situ detection of Escherichia coli

This work describes a novel method of detecting Escherichia coli using photoluminescence (PL) emission from III–V quantum semiconductor (QS) devices functionalized with two different antibody-based architectures. The first approach employed self-assembled monolayers of biotinylated polyethylene glycol thiols to immobilize biotinylated antibody via neutravidin. In the second approach, we used QS microstructures coated with a thin layer of Si₃N₄ allowing direct functionalization with E. coli antibodies through hydrofluoric acid etching and glutaraldehyde-based reticulation. Atomic force, optical and fluorescence microscopy measurements were used to assess the immobilization process. Depending on the biosensing architecture, density of the immobilized bacteria was observed in the range of 0.5–0.7 bacteria/100 μm². The detection of E. coli at 10⁴ CFU/ml was achieved within less than 120 min of the bacteria exposure. It is expected that an even better sensitivity threshold could be achieved following further optimization of the method.     

Adjacent assembly of self-assembled monolayers for the construction of selective bio-platforms

Selective patterning of bio-substances onto solid platforms is of increasing importance in many areas and widely used for various applications ranging from bio-sensing to cell and tissue engineering. In this study, a new fabrication scheme for the construction of highly selective bio-platforms is presented. The method is based on a direct patterning of poly(ethyleneglycol) (PEG) bio-inert layers on a conducting indium tin oxide (ITO) substrate using electron beam lithography and subsequent assembly of modified amine reactive layers onto the exposed areas. The process is found to create very high “surface contrast” between adhesive and repulsive regions onto the substrate. The platforms are shown to be enable efficient for selective adsorption of a variety of bio-substances including protein arrays, latex beads, and single cells. The high resolution of the technique makes it also applicable for the construction and deposition of bio-structures at the sub-micron scale. The reported technique employs standard lithography and surface chemistry processes, which makes it useful and easy to adopt for a variety of applications and other conductive substrates.     

Extracting significant Website Key Objects: A Semantic Web mining approach

Web mining has been traditionally used in different application domains in order to enhance the content that Web users are accessing. Likewise, Website administrators are interested in finding new approaches to improve their Website content according to their users' preferences. Furthermore, the Semantic Web has been considered as an alternative to represent Web content in a way which can be used by intelligent techniques to provide the organization, meaning, and definition of Web content. In this work, we define the Website Key Object Extraction problem, whose solution is based on a Semantic Web mining approach to extract from a given Website core ontology, new relations between objects according to their Web user interests. This methodology was applied to a real Website, whose results showed that the automatic extraction of Key Objects is highly competitive against traditional surveys applied to Web users.     

典型ATM交换结构分析与交换机设计分类

目前的通信网正逐步向宽带化、综合化和智能化方向发展,为了传送高清晰度电视(HDTV)图像及高速数据,要求通信网高速宽带化。高速宽带通信与现有的电话及数据通信相比,应具有极宽的通信频带(几十Mbps以上)。另一方面,随着科技的发展,人们对通信的需求不断增加,导致未来通信业务的不确定性。因此,人们致力于研究新的通信方式以适应上述情况,其中,ATM可能是实现宽带ISDN的最佳方式,可以满     

多元化艺术语言的探索——论后现代文化招贴中的装置艺术

后现代像是一个无所不包的杂货铺。多元的文化呈现使得人们在当下感受到更多的可能性与多样性。面对信息过剩的时代,人们渴望真情,渴望纯真,渴望诚恳。作为对社会有劝导性,治愈性的工具——招贴,通过对它的表现语言的多元化探索,期待可以给人们带来更多真实的情感和精神安慰,同时梳理了现在招贴中的装置手法的现象,形成理性化的认识,指导以后的设计实践。     

一种基于SOM和K means的文档聚类算法*

提出了一种把自组织特征映射SOM和Kmeans算法结合的聚类组合算法。先用SOM对文档聚类,然后以SOM的输出权值初始化Kmeans的聚类中心,再用Kmeans算法对文档聚类。实验结果表明,该聚类组合算法能改进文档聚类的性能。     

在构件的多个实现间动态选择的算法*

为了提高构件在处理多种类型请求时的效率,构件可以有多个不同的内部实现,每一个实现都是为一种特定类型的请求而优化的。提出了一种在构件的多个实现间动态选择的算法,算法尽可能地为每一种类型的请求挑选最优的实现,同时又尽量避免在不同的实现之间进行切换,从而使构件在处理一个请求序列时所花费的总开销尽可能少。     

基于寻优算法的改进自组织映射研究

为加快自组织映射的学习速度,提出一个改进的自组织映射(SOM)算法。该算法将类似模拟退火过程应用于SOM学习算法中,动态调整学习参数来优化神经元的运动,并且在损耗值达到一定阈值的情况下提前停止自组织映射聚类,保证输入数据与映射规则的快速学习与较好性能。在提高学习速度的前提下,达到输入到输出的图形一致性。在不同大容量数据集的测试结果表明,该算法与原始SOM算法及其改进算法相比,在收敛速度上可以提高一倍左右,精度上较标准SOM提高50%左右。