Performance and Capacity Analysis of UWB Networks over 60GHz WPAN Channel
In this paper we evaluate the system performance and capacity of single carrier ultra-wideband (UWB) networks over 60GHz wireless personal area network (WPAN) channel. Symbol error rate is derived for both single user and multiple access scenario with a general system capacity and performance evaluation approach based on moment generation function. System outage probability and network throughput performance are also studied. Based on the current IEEE 802.15.3 WPAN standard work, different transmission scenarios have been explored and the performances with RAKE reception has been obtained. The channel model is also based on the recent work of IEEE 802.15 WPAN group. Numerical results are given to illustrate the system performance.

title: Towards context-aware face recognition
abstract: In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata together with computer vision analysis of image content to make accurate predictions about the human subjects depicted in cameraphone photos. We apply Sparse-Factor Analysis (SFA) to both the contextual metadata gathered in the MMM2 system and the results of PCA (Principal Components Analysis) of the photo content to achieve a 60% face recognition accuracy of people depicted in our cameraphone photos, which is 40% better than media analysis alone. In short, we use context-aware media analysis to solve the face recognition problem for cameraphone photos.

title: Aristotle: a system for development of program analysis based tools
abstract: Aristotle provides program analysis information, and supports the development of software engineering tools. Aristotle's front end consists of parsers that gather control flow, local dataflow and symbol table information for procedural language programs. We implemented a parser for C by incorporating analysis routines into the GNU C parser; a C++ parser is being implemented using similar techniques. Aristotle tools use the data provided by the parsers to perform a variety of tasks, such as dataflow and control dependence analysis, dataflow testing, graph construction and graph viewing. Most of Aristotle's components function on single procedures and entire programs. Parsers and tools use database handler routines to store information in, and retrieve it from, a central database. A user interface provides interactive menu-driven access to tools, and users can view results textually or graphically. Many tools can also be invoked directly from applications programs, which facilitates the development of new tools. To assist with system development and maintenance, we are also creating support tools for managing bug and test suite databases.

title: Managing Change: An Ontology Version Control System
abstract: In this paper we present the basic requirements and initial design of a system which manages and facilitates changes to an OWL ontology in a multi-editor environment. This system uses a centralized client-server architecture in which the server maintains the current state and full history of all managed ontologies. Clients can access the current ontology version, all historical revisions, and differences between arbitrary revisions, as well as metadata associated with revisions. This system will be used by many other ontology based services, such as incremental reasoning, collaborative ontology development, advanced ontology search, and ontology module extraction. Taken holistically, this network of services will provide a rich environment for the development and management of ontology based information systems. 1 Motivation and Requirements We need for a system that manages access to a changing ontology. This requirement is experienced by a variety applications with different stakeholders. An illustrative use case is presented below. A large distributed organization requires integration and alignment of many heterogeneous data sources and information artifacts. They facilitate such integration by employing one or more expressive OWL ontologies that exist in defined relations to data sources, information artifacts, and an enterprise conceptual model. These ontologies, as a critical infrastructure components, have stakeholders throughout the organization and outside its boundaries. Further, they are developed and maintained concurrently by many parties. Individual stakeholders participate in the ontology engineering process in different ways. Some are primarily consumers, but may make detailed edits to areas of the ontologies critical to them. Others are charged with maintaining high-level ontology coherence and use an integrated ontology development environment, such as Protege-OWL, to collaborate with similar editors in realtime, leveraging tools to maintain a dynamic view of the ontology. All stakeholders rely on the ontologies being available and consistent across the organization. This use case illustrates a set of requirements: Client Performance The network is a potential bottleneck of any distributed or client-server system, but the critical work of ontology development is

title: Empirical analysis of the correlation between amount-of-reuse metrics in the C programming language
abstract: Disclosed are the magnesium salts of N-carboxyamino acids, a process for their preparation, and their use of lubricating oil additives.

title: Opening, Closing Worlds - On Integrity Constraints
abstract: In many data-centric applications it is desirable to use OWL as an expressive schema language where one expresses constraints that need to be satisfied by the (instance) data. However, some features of OWL’s semantics, specifically the Open World Assumption (OWL) and not having a Unique Name Assumption (UNA), make it hard to use OWL for this task. What would trigger a constraint violation in a closed world system like a relational database leads to new inferences in OWL. In this paper, we explore how OWL can be extended to accommodate integrity constraints and discuss several alternatives for the syntax and semantics of such an extension. We primarily focus on applications in the Supply Chain Management (SCM) domain but we are also gathering use cases and requirements from many other application areas to assess which of these alternatives provides the best solution.

title: Owlgres: A Scalable OWL Reasoner
abstract: We present Owlgres, a DL-Lite reasoner implementation written for PostgreSQL, a mature open source database. Owlgres is an OWL reasoner that provides consistency checking and conjunctive query services, supports DL-LiteR as well as the OWL sameAs construct, and is not limited to PostgreSQL. We discuss the implementation with special focus on sameAs and the supported subset of the SPARQL language. Emphasis is given to the implemented optimization techniques which resulted in significant performance improvement. Based on a confidential NASA dataset and part of the DBpedia dataset, we show a typical use case for Owlgres, i.e. given a terminology and a dataset, Owlgres provides querying on a persistent knowledge base with reasoning at query time in the expressivity of DL-LiteR.