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LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING

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Works: 12 works in 13 publications in 1 language and 13 library holdings
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Publications about LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
Publications by LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
Most widely held works by LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
Year End Progress Report for ONR Young Investigator Grant N00014-97-1-0774 ( Book )
2 editions published in 1999 in English and held by 2 libraries worldwide
13. ABSTRACT (Maximum 200 Words) This research attempts to develop a fundamental understanding of the issues involved in the design and performance analysis of distributed signal detection schemes. Such knowledge is currently lacking. This is especially true for cases with statistically dependent observations from sensor to sensor, a practical case on which this research focuses. Some emphasis is being devoted to developing design algorithms, applications, and algorithms for image fusion. The goal of these studies is to produce tools and techniques for pressing practical problems. This report describes the progress made in the last year. The investigation produced several significant results that illustrate how little is really known about the underlying theory of distributed signal detection. For example, given a distributed scheme which uses a given number of bits for the decisions at all but the last sensor, we can show that the last sensor should not use more than a certain number of bits in its decision. If more bits are used at the last sensor, then the same performance can be obtained by using less bits, which implies lower speed communications
An Evaluation of Knowledge Base Systems for Large OWL Datasets ( file )
1 edition published in 2004 in English and held by 1 library worldwide
In this paper, we present our work on evaluating knowledge base systems with respect to use in large OWL applications. To this end, we have developed the Lehigh University Benchmark (LUBM). The benchmark is intended to evaluate knowledge base systems with respect to extensional queries over a large dataset that commits to a single realistic ontology. LUBM features an OWL ontology modeling university domain, synthetic OWL data generation that can scale to an arbitrary size, fourteen test queries representing a variety of properties, and a set of performance metrics. We describe the components of the benchmark and some rationale for its design. Based on the benchmark, we have conducted an evaluation of four knowledge base systems (KBS). To our knowledge, no experiment has been done with the scale of data used here. The smallest dataset used consists of 15 OWL files totaling 8MB, while the largest dataset consists of 999 files totaling 583MB. We evaluated two memory-based systems (OWLJessKB and memory-based Sesame) and two systems with persistent storage (database-based Sesame and DLDB-OWL). We show the results of the experiment and discuss the performance of each system. In particular, we have concluded that existing systems need to place a greater emphasis on scalability
The Development of a Compiler Design Course With Ada as The Implementation Language ( file )
1 edition published in 1988 in English and held by 1 library worldwide
The purpose of this project was to introduce the language Ada into our complier design curriculum as the development language. To this end our course which had been traditionally taught using Pascal was to be reworked so that the programming portion would now be done in Ada. In addition, while a subset of Pascal had been normally used as the target design complier, the course was now to have a language similiar to a subset of Ada as the target design complier. This in fact was carried out and the ensuing report describes some aspects of the course development
DLDB: Extending Relational Databases to Support Semantic Web Queries ( file )
1 edition published in 2004 in English and held by 1 library worldwide
We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage
A Theory for Distributed Signal Detection and Data Fusion ( file )
1 edition published in 2000 in English and held by 1 library worldwide
This research attempts to develop a fundamental understanding of the issues involved in the design and performance analysis of distributed detection schemes. Such knowledge is currently lacking. This is especially true for cases with statistically dependent observations from sensor to sensor, a practical case on which this research focuses. Some emphasis is being devoted to developing design algorithms and on applications. The goal of these studies is to produce tools and techniques for pressing practical problems. We classify our efforts into four basic areas: properties of dependent observations cases, design algorithms, applications and image fusion
Performance Limits and Design of MIMO for Sensor and Ad Hoc Wireless and Networks ( Book )
1 edition published in 2009 in English and held by 1 library worldwide
We have made excellent progress on studying appropriate signal processing and communication strategies for networks of dispersed nodes where each node may be equipped with a sensor. One area of focus has been on developing appropriate signal processing and communication strategies for networks which focus on target detection or hypothesis testing problems. There are many important military and non-military applications of this paradyme. In particular, hypothesis testing, often called signal detection, is a fundamental sensor networking application which is key for solving many important problems including improved monitoring, control and repair of the human body, buildings, bridges, energy production facilities, the environment and other critical infrastructure, while also providing important contributions to homeland security, law enforcement, disaster prediction/avoidance and defense related problems. We have developed very promising approaches for saving battery power for important military applications employing sensors. For example, we developed a highly efficient approach which achieves the same performance as the optimum energy unconstrained approach but which saves energy proportional to the number of sensors employed provided the signal to be detected is observed with sufficient signal-to-noise ratio. For such cases, the average number of sensor transmissions saved over the optimum unconstrained energy approach is larger than half the number of sensors employed without any loss in performance
A Model Theoretic Semantics for Ontology Versioning ( file )
1 edition published in 2004 in English and held by 1 library worldwide
We show that the SemanticWeb needs a formal semantics for the various kinds of links between ontologies and other documents. We provide a model theoretic semantics that takes into account ontology extension and ontology versioning. Since the Web is the product of a diverse community, as opposed to a single agent, this semantics accommodates different viewpoints by having different entailment relations for different ontology perspectives. We discuss how this theory can be practically applied to RDF and OWL and provide a theorem that shows how to compute perspective-based entailment using existing logical reasoners. We illustrate these concepts using examples and conclude with a discussion of future work
Diversifying Search Results with Popular Subtopics ( file )
1 edition published in 2009 in English and held by 1 library worldwide
The problem we aim to solve is the diversification of search results for ambiguous web queries. We present a model based on knowledge of the diversity of query subtopics to generate a diversified ranking for retrieved documents. We expand the original query into several related queries, assuming that query expansions expose subtopics of the original query. Moreover, each query expansion is given a weight which reflects the likelihood of the interpretation (the fraction of users who issued this query given the general query topic). We issue all those expanded queries including the original query to a standard BM25 search engine, then re-rank the retrieved documents to generate the final ranking. Our method can detect possible subtopics of a given query and provide a reasonable ranking that satisfies both relevancy and diversity metrics. The TREC evaluations show our method is effective on the diversity task
Semantic Web Technologies for Aerospace ( file )
1 edition published in 2003 in English and held by 1 library worldwide
Emerging Semantic Web technology such as the DARPA Agent Markup Language (DAML) will support advanced semantic interoperability in the next generation of aerospace architectures. The basic idea of DAML is to mark up artifacts (e.g. documents sensors databases legacy software) so that software agents can interpret and reason with the information DAML will support the representation of ontologies (which include taxonomies of terms and semantic relations) via extensions to XML, XML alone is not sufficient for agents because it provides only syntactic interoperability that depends on implicit semantic agreements DAML is the official starting point for the Web Ontology Language an emerging standard from the World Wide Web Consortium. This paper will cover promising aerospace applications and significant challenges for Semantic Web technologies Potential applications include higher-level information fusion collaboration in both operational and engineering environments and rapid systems integration. The challenges that will be discussed include the complexity of ontology development automation of markup semantic mismatch between current object-oriented models and Semantic Web ontologies scalability issues related to reasoning with large knowledge bases and technology transition issues. The paper will explain ongoing research that is focused on addressing these challenges
Data Fusion With Communication Applications ( file )
1 edition published in 2003 in English and held by 1 library worldwide
Data fusion ideas were employed to solve some important communication system problems. The first topic involves studying methods for generating and combining decisions from individual receivers in a multiple user scenario. The resulting theory of distributed multiuser detection or multiuser decision fusion has applications in both communications and in more classical problems of data fusion. In current digital cellular networks, for example, this theory is useful for combining decisions made at several remote base stations. This project focused on designing algorithms for and analyzing the performance and complexity of such schemes. The approach involved developing the theory for distributed multiuser detection by building on single user distributed detection theory, to which the PI has been a major contributor over the last few years. The second topic involved the study of methods employing multiple transmit and receive antennas (MIMO methods) to enhance performance. We developed new improved space-time codes and gave particular attention to the use of MIMO methods in a system (as opposed to a link which is interference free) which has not received much study
Transfer Learning and Hierarchical Task Network Representations and Planning ( file )
1 edition published in 2008 in English and held by 1 library worldwide
The goal of this was to contribute with the Naval Research Laboratory in developing Testbed for Integrating and Evaluating Learning Techniques to support the AI research community by providing a testing platform to AI algorithms. In addition, we want to demonstrate TIELT capabilities in HTN learning tasks
Nonreciprocal Components in the 140 and 220 GHZ Bands Utilizing Magnetoplasmons on Semiconducting Substrates ( Book )
1 edition published in 1990 in English and held by 1 library worldwide
This report presents the progress made during the period of June 1985 to June 1988 on experimental and theoretical investigations of waveguiding structures utilizing surface waves on high quality semiconducting substrates. When exposed to a d.c. biasing magnetic field, these structures display nonreciprocal behavior which can be used to design nonreciprocal devices such as circulators, isolators, and phase shifters in the millimeter and submillimeter wave frequency ranges. Reasonable losses can be achieved for device purposes when operated at cryogenic temperatures. Various experimental techniques were explored to achieve surface plasmon excitation on n-type semiconducting materials in the near-millimeter wave ranges. Although some limited studies have been carried out on this topic in the optical frequency range, very little work is available on experimental derivation of propagation characteristics of surface plasmon on III-V semiconductor compounds. For our purposes, most of the theory was deduced from optics with numerous experiments conducted to obtain a reasonable interpretation for the quasi-optical theory applied to the millimeter wave range. The quasi-optical method employed both the prism coupling and grating coupling techniques to generate surface plasmon on highly doped semiconductor materials in the frequency range of 110-160 GHz. (rrh)
 
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English (13)
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