A Survey of Applications Research on Content-Centric Networking

As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP network.In CCN,communication is wholly driven by the data consumer.Consumers must send Interest packets with the content name and not by the host’s network address.Its nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works well.This paper presents a comprehensive survey of state-of-the-art application research activities related to CCN architecture.Our main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.

On the Use of Quaternions, Dual Quaternions, and Double Quaternions For Freeform Motion Synthesis

Recently, there has been considerable effort to bring together quaternion-based representations of spatial displacements with curve design techniques in Computer Aided Geometric Design (CAGD) to develop methods for synthesizing freeform Cartesian motions. These methods have a wide range of applications from computer graphics,Cartesian motion planning for robot manipulators to task specification and motion approximation for spatial mechanism design. This paper compares the use of quaternions, dual quaternions, and double quaternions for freeform motion synthesis in a CAD environment.

CLEAN:Frequent Pattern-Based Trajectory Compression and Computation on Road Networks

The volume of trajectory data has become tremendously huge in recent years. How to effectively and efficiently maintain and compute such trajectory data has become a challenging task. In this paper, we propose a trajectory spatial and temporal compression framework, namely CLEAN. The key of spatial compression is to mine meaningful trajectory frequent patterns on road network. By treating the mined patterns as dictionary items, the long trajectories have the chance to be encoded by shorter paths, thus leading to smaller space cost. And an error-bounded temporal compression is carefully designed on top of the identified spatial patterns for much low space cost. Meanwhile, the patterns are also utilized to improve the performance of two trajectory applications, range query and clustering, without decompression overhead. Extensive experiments on real trajectory datasets validate that CLEAN significantly outperforms existing state-of-art approaches in terms of spatial-temporal compression and trajectory applications.

A Wideband Circularly Polarized Patch Antenna for 60 GHz Wireless Communications

This paper presents the design of a fully packaged 60 GHz wideband patch antenna incorporating an air cavity and a fused silica superstrate. Circular polarization (CP) is realized by introducing a diagonal slot at the center of the square patch. By optimizing the patch and the slot dimensions, a high efficiency (>90%) microstrip fed CP antenna with an impedance bandwidth of 24% and a 6 dB axial ratio bandwidth of 21.5% is designed. A coplanar waveguide (CPW) to microstrip transition with λ/4-open-ended stubs are then designed to match the antenna to the CPW packaging interface. The experimental results of the final packaged antenna agree reasonably with the simulation results, demonstrating an impedance bandwidth of more than 26% and a 6 dB axial ratio bandwidth of 22.7%.

使用分子量级前躯体制备CuInSe_2及其合金并应应用用于光伏发电(英文)

黄铜矿铜铟硒化合物CuInSe2及其与硫或嫁的合金CuIn(Se,S)2或CuInGa(Se,S)2,即所说的CIGS,已通过20%的实验室规模器件光电转换效率展示了其地面光伏应用的巨大潜力。为了减少初始资金成本,提高材料利用率,科研工作者们已经尝试了许多努力通过非真空制程沉积CIGS。这些制程包括电镀工艺,基于颗粒(浆或纳米颗粒)的制程和基于分子量级前趋体的制程。原则上,分子量级前趋体可以使组分元素达到充分混合,可以最大程度地实现组份在基板不同区域的均一分布。这对于一个复杂的涉及到五个主要元素的化合物系统尤为重要。从这个角度来看,分子前趋体的方法具有大面积均匀沉积铜铟镓硒的巨大潜力。这篇综述将着重讨论使用分子前趋体沉积铜铟镓硒制程的最新发展。

A population-level model from the microscopic dynamics in Escherichia coli chemotaxis via Langevin approximation

Recent extensive studies of Escherichia coli （E. coli） chemotaxis have achieved a deep understanding of its mi- croscopic control dynamics. As a result, various quantitatively predictive models have been developed to describe the chemotactic behavior of E. coli motion. However, a population-level partial differential equation （PDE） that rationally incorporates such microscopic dynamics is still insufficient. Apart from the traditional Keller-Segel （K-S） equation, many existing population-level models developed from the microscopic dynamics are integro-PDEs. The difficulty comes mainly from cell tumbles which yield a velocity jumping process. Here, we propose a Langevin approximation method that avoids such a difficulty without appreciable loss of precision. The resulting model not only quantitatively repro- duces the results of pathway-based single-cell simulators, but also provides new inside information on the mechanism of E. coli chemotaxis. Our study demonstrates a possible alternative in establishing a simple population-level model that allows for the complex microscopic mechanisms in bacterial chemotaxis.

Combined Use of Differential Scanning Calorimetry and Cross-Sectional Transmission Electron Microscopy for Characterization of Thin-Film Reactions

We demonstrate that the combined use of differential scanning calorimetry(DSC)and cross-sectional transmission electron microscopy(XTEM)is a powerful technique in the quantitative investigation of the nucleation and growth of metastable and equilibrium phases during thin-film interdiffusion reactions.The Various approaches and advantages of the DSC/XTEM technique in obtaining a variety of kinetic and thermodynamic data are discussed.Explosive reactions,as opposed to conventionally controlled reactions,may occur in thin films where the multilayer geometry is used.

绿色转型分析:数据中心碳排放管理的分析工具(英文)

There is increasing awareness that human activity may threaten delicate ecological systems.From evidence of global warming to concerns about water and soil toxicity,individuals and groups are asking what they can do to reduce their environmental impact.New technologies,processes and laws relating to carbon emissions and other environmental issues come forth and will seriously affect how companies operate in the future.Green transformation is increasingly a key management initiative in a corporate response to climate change.This paper presents a software tool,Green Transformation Workbench,which can help companies work toward the goals in logical,manageable stages as well as position them to reach the vision of a Sustainable Business and Corporate Social Responsibility.The Green Transformation Workbench provides a framework that aligns processes,people and infrastructure of an enterprise to realize targets on carbon emissions.It implements a methodical approach that was devised to analyze green transformation opportunities and make business cases for transformation initiatives and thereby provides decision-support to the consultants.The Workbench is a practitioner's tool for business transformation addressing the issues.The Green Transformation Workbench builds on IBM's component business model and offers a consolidated view into data center operational components,processes,metric and infrastructure.It provides an intuitive way to evaluate and understand various opportunities in infrastructure consolidation and operational improvement.It embodies structured analytical models,both qualitative and quantitative,to enhance the consultants' practices.It provides diagnostics in data center operations based on benchmark data and business case analyses to the proposed green solutions.The Green Transformation Workbench has been instantiated with data from real-world data centers and applied to address a client situation as a case study.

并行和分布式计算本科核心课程(英文)

The penetration of parallel and distributed computer（PDC） technology into the daily lives of users via their wireless networks,smartphones,social networking sites and more,has made it imperative that computer scientists and engineers provide rapidly changing,yet effective,efficient,and reliable technology to consumers.This highlights the urgent need for imparting a broad-based skill set in PDC technology at various levels in the educational fabric.However,the rapid changes in computing technology and advances in research challenge educators＇ abilities to know what to teach in any given semester.Other stakeholders in the push to cope with fast-changing PDC technology,including employers,face similar challenges in identifying basic expertise.

Clustering by Pattern Similarity

The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most of these models the concept of similarity is often based on such metrics as Manhattan distance, Euclidean distance or other Lp distances. In other words, similar objects must have close values in at least a set of dimensions. In this paper, we explore a more general type of similarity. Under the pCluster model we proposed, two objects are similar if they exhibit a coherent pattern on a subset of dimensions. The new similarity concept models a wide range of applications. For instance, in DNA microarray analysis, the expression levels of two genes may rise and fall synchronously in response to a set of environmental stimuli. Although the magnitude of their expression levels may not be close, the patterns they exhibit can be very much alike. Discovery of such clusters of genes is essential in revealing significant connections in gene regulatory networks. E-commerce applications, such as collaborative filtering, can also benefit from the new model, because it is able to capture not only the closeness of values of certain leading indicators but also the closeness of （purchasing, browsing, etc.） patterns exhibited by the customers. In addition to the novel similarity model, this paper also introduces an effective and efficient algorithm to detect such clusters, and we perform tests on several real and synthetic data sets to show its performance.

The Inverse Classification Problem

In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to be used to create a record which will result in a desired class label. Such an approach is useful in applications in which it is an objective to determine a set of actions to be taken in order to guide the data mining application towards a desired solution. This system can be used for a variety of decision support applications which have pre-determined task criteria. We will show that the inverse classification problem is a powerful and general model which encompasses a number of different criteria. We propose a number of algorithms for the inverse classification problem, which use an inverted list representation for intermediate data structure representation and classification. We validate our approach over a number of real datasets.

Preface

On behalf of the program committee co-chairs of IFIP 2011 International Conference on Network and Parallel Computing （NPC 2011）, we are very happy to organize a special section of five best paper nominees selected from the conference. The committee reviewed our 54 submissions over a 6-week period from mid-April to the end of May 2011,

CONVEXITY AND BERNSTEIN POLYNOMIALS ON k-SIMPLOIDS

This paper is concerned with Bernstein polynomials on k-simploids by which we mean a crossproduct of k lower dimensional simplices. Specifically, we show that if the Bernstein polynomials ofa given function f on a k-simploid form a decreasing sequence then f+l, where l is any correspondingtensor product of affine functions. achieves its maximum on the boundary of the k-simploid. Thisextends recent results in [1] for bivariate Bernstein polynomials on triangles. Unlike the approachused in [1] our approach is based on semigroup techniques and the maximum principle for secondorder elliptic operators. Furthermore, we derive analogous results for cube spline surfaces.

Vlicrofluidics and its applications in quantitative biology

INTRODUCTIONBiology research is entering a new era when quantitative measurements are needed to advance our knowledge of the biological systems to the next level where biological behaviors can be understood, predicted and even manipulated. Microfluidics,