46728562
Membership Portal and Service Provisioning System for an Infrastructure of Hubs: Managed E-Hub
The goal of Managed e-Hub research prototype is to build a common infrastructure of hubs so that businesses can develop B2B exchanges meeting their business needs based on it. In this paper, an open and extensible framework for Managed e-Hub is presented and the hub fundamental services are discussed in detail as well. The service provisioning system of Managed e-Hub not only provides a way of integrating other services into the hub by means of service on-boarding and subscription, but also provisions these services with their required provisioning information.
6452442
A Method of Enabling Automated Invocation of Web Services
While Web services provide an essential building block for realizing dynamic e-business by facilitating standardsbased program-to-program interaction, they do not address many business aspects of communication such as security, access control, business partner selection, service level agreement monitoring, and logging. In this paper, we propose a service-oriented framework that provides these much needed infrastructure services. Using the framework, service providers can prepare their business applications for publishing as Web services, and specify access controls on their services in the registry while service requestors can find suitable service providers and invoke their services dynamically. The framework ensures that all transactions are secure, monitored for service level agreements and logged for audit purposes. By providing business utility services and automation technology founded on Web services, we believe that, our framework takes Web services to the next level in supporting dynamic e-business.
24114295
WS-EPM: Web services for enterprise project management
This work presents a new service-oriented architecture for enterprise project management that integrates business process, human resources and project management within an enterprise or across the value chain network. In the proposed WS-EPM framework, the project resources include business processes, skilled people, physical resources, control policies, and so forth. The project resources used in WS-EPM are described by WSResource properties language. In addition, the coordination of project resources is guided by a set of operations modeled by business process execution language for Web services (BPEL4WS). At the end of this paper, we present an industry application scenario that leverages the proposed WS-EPM for achieving maximum ROI with limited resources.
21758360
WS-trustworthy: a framework for Web services centered trustworthy computing
The emerging paradigm of Web services has been gaining significant momentum in the recent years since it offers a promising way to facilitate business-to-business (B2B) collaboration. However, it is not clear that this new model of Web services provides any measurable increase in computing trustworthiness. We propose a generic framework to control the trustworthiness of computing in the domain of Web services. A layered model is established to highlight four key elements: resources, policies, validation processes, and management. The robustness of this model exhibits its flexibility and extensibility. Examples utilizing our framework are reported.
5757371
A Semantic Framework for Distributed Applications
17426553
On-demand business collaboration enablement with web services
Businesses are increasingly outsourcing key operations and interacting with ever extending nets of partners. Running extended business-to-business (B2B) operations creates the need for more advanced human interaction while advancing the automation base of B2B functions. In this paper, we introduce a model for on-demand business process-based collaboration, namely, Extended Business Collaboration (eBC), and its major elements of modeling, and a configurable business protocol-enabling framework. We discuss some of the major research issues associated with facilitating extended business collaboration, and present our proposed Annotated Business HyperChain technology leveraging Web services and semantic annotation model. A research prototype is described, followed by some observations and discussion of open research issues requiring further exploration.
6781663
Parallel Image Matrix Compression for Face Recognition
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small training data, face recognition often suffers from the curse of dimension and the small sample problem. Recent research [4] shows that face recognition based on direct 2D matrix representation, i.e. 2DPCA, obtains better performance than that based on traditional vector representation. However, there are three questions left unresolved in the 2DPCA algorithm: I ) what is the meaning of the eigenvalue and eigenvector of the covariance matrix in 2DPCA; 2) why 2DPCA can outperform Eigenface; and 3) how to reduce the dimension after 2DPCA directly. In this paper, we analyze 2DPCA in a different view and proof that is 2DPCA actually a "localized" PCA with each row vector of an image as object. With this explanation, we discover the intrinsic reason that 2DPCA can outperform Eigenface is because fewer feature dimensions and more samples are used in 2DPCA when compared with Eigenface. To further reduce the dimension after 2DPCA, a two-stage strategy, namely parallel image matrix compression (PIMC), is proposed to compress the image matrix redundancy, which exists among row vectors and column vectors. The exhaustive experiment results demonstrate that PIMC is superior to 2DPCA and Eigenface, and PIMC+LDA outperforms 2DPC+LDA and Fisherface.
22235359
Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition
In this paper, we put forward an automatic method of acquiring the specific system composition model from a domain composition model and requirements for the specific system in domain-specific Web services composition. This is referred to as the variability consolidation problem in this paper. To achieve this goal, we designed a language to describe domain properties for Web services composition. The basis of our approach is to transform the domain composition model and the requirements for the specific system into a mathematical optimization problem, which can be solved by existing algorithms. Thus, this method is fully automatic and not prone to human errors. Our preliminary experimental results show that our method is quite feasible for solving problems with real world sizes.
7408744
Projection defocus analysis for scene capture and image display
In order to produce bright images, projectors have large apertures and hence narrow depths of field. In this paper, we present methods for robust scene capture and enhanced image display based on projection defocus analysis. We model a projector's defocus using a linear system. This model is used to develop a novel temporal defocus analysis method to recover depth at each camera pixel by estimating the parameters of its projection defocus kemel in frequency domain. Compared to most depth recovery methods, our approach is more accurate near depth discontinuities. Furthermore, by using a coaxial projector-camera system, we ensure that depth is computed at all camera pixels, without any missing parts. We show that the recovered scene geometry can be used for refocus synthesis and for depth-based image composition. Using the same projector defocus model and estimation technique, we also propose a defocus compensation method that filters a projection image in a spatially-varying, depth-dependent manner to minimize its defocus blur after it is projected onto the scene. This method effectively increases the depth of field of a projector without modifying its optics. Finally, we present an algorithm that exploits projector defocus to reduce the strong pixelation artifacts produced by digital projectors, while preserving the quality of the projected image. We have experimentally verified each of our methods using real scenes.
1882847
User Feedback-Based Refinement for Web Services Retrieval using Multiple Instance Learning
A critical step in the process of reusing existing WSDL-specified components is the discovery of potentially relevant Web services. Traditional category based Web service retrieval usually can achieve good recall but worse precision because some semantically relevant Web services are not actually relevant as they cannot provide suitable interfaces. In this paper, we present an interactive Web services retrieval mechanism to refine the coarse retrieval results set in category based retrieval. In the refinement, the signature matching of Web services that concerning the structure of operation specifications is investigated from a multi-instances view. In detail, each Web service is represented as a bag in multiple instance learning, while each operation in this Web service is regarded as an instance. This representation lies in that a user regards a service as useful if at least one operation provided by this Web service is useful. Experimental results show that our approach can improve the retrieval performance significantly: It can gain 83% precision in average after two rounds of user relevance feedback
12946117
Searching One Billion Web Images by Content: Challenges and Opportunities
Although content-based image retrieval has been studied for decades, most commercial image search engines are still text-based. However, there is a growing demand for techniques to support content-based image search at Web scale. In this paper, we propose an ambitious goal to searching one billion Web images by content, and discuss the major challenges and opportunities. We also present several important applications that can be greatly benefited by techniques to enable Web-scale image search by content. These applications include image copyright infringement detection, street-side photo search, and searchbased image annotation. We believe that the insights presented in the paper are enlightening to researchers in this field, and any breakthrough we make in this space will lead to many impactful applications in the future.