Justin E. Harbison, Lara R. Dugas, William Brieger, Bamidele O. Tayo, Tunrayo Alabi, Dale A. Schoeller, and Amy Luke Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood Illinois; Department of International Health, Bloomberg School of Public Health, John Hopkins University, Baltimore Maryland; Geospatial Laboratory, Research for Developm...

Recently, blind multi-user detection has become an important topic in code division multiple access (CDMA) systems. Direct-Sequence Spread Spectrum (DSSS) signals are well-known due to their low probability of detection, and secure communication. In this article, the problem of blind multi-user detection is studied in variable processing gain direct-sequence code division multiple access (VPG D...

Justin E. Harbison, Lara R. Dugas, William Brieger, Bamidele O. Tayo, Tunrayo Alabi, Dale A. Schoeller, and Amy Luke Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood Illinois; Department of International Health, Bloomberg School of Public Health, John Hopkins University, Baltimore Maryland; Geospatial Laboratory, Research for Developm...

Scale Invariant Feature Transform (SIFT) is a computer vision algorithm that is widely-used to extract features from images. We explored accelerating an existing implementation of this algorithm with message passing in order to analyze large data sets. We successfully tested two approaches to data decomposition in order to parallelize SIFT on a distributed memory cluster. Introduction In certai...

Different users of geospatial information have different requirements of that information. Matching information to users’ requirements demands an understanding of the ontological aspects of geospatial data. In this paper, we present an ontology-driven map generalization algorithm, called DMin, that can be tailored to particular users and users’ tasks. The level of detail in a generated map is a...

1082-4006/05/1101-24$5.00 ©2005 The International Association of Chinese Professionals in Geographic Information Science (CPGIS) Abstract This paper discusses an interoperable system framework for developing web-service-based intelligent geospatial knowledge systems. This type of systems facilitates personalized, on-demand geospatial information or knowledge discovery and dissemination. The sys...

Navigation systems play an important role in many vital disciplines. Determining the location of a user relative to its physical environment is an important part of many indoor-based navigation services such as user navigation, enhanced 911 (E911), law enforcement, location-based and marketing services. Indoor navigation applications require a reliable, trustful and continuous navigation soluti...

As various geospatial images are available for analysis, there is a strong need for an intelligent geospatial image processing method. Segmenting and districting digital images is a core process and is of great importance in many geo-related applications. We propose a flexible image segmentation framework based on generalized Voronoi diagrams through Euclidean distance transforms. We introduce ...