Richard E. Billo

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This paper discusses a methodology for placing transceivers in Radio Frequency Data Communication (RFDC) implementations. RFDC is a critical component of many automated applications for which industrial engineers are typically responsible. For example, in warehouse management systems, it is often used to track product inventory levels. In Manufacturing(More)
Code compression, initially conceived as an effective technique to reduce code size in embedded systems, today also brings advantages in terms of performance and energy consumption, due to an increase in the cache hit ratio. This paper proposes the design of a code decompressor engine for our dictionary-based method, embedding it into the Leon (SPARC V8)(More)
Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. As a result, ECG data from different monitoring devices cannot be displayed unless the user has access to the proprietary software of each particular device. This research describes an ontology and encoding for representation of ECG data that allows(More)
The IJRFITA provides the primary forum to report and address the fundamental engineering and physical issues of RFID tag operation and tag/reader communication. The tag technologies will include backscatter, chip-less RFID and other alternatives to the classical chip and antenna combinations. The perspective is one of the hardware physical and mathematical(More)
Nanoimprint lithography is emerging as a viable contender for fabrication of large-scale arrays of 5–500 nm features. A fabrication process for the realization of thin nanoporous membranes using thermal nanoimprint lithography is presented. Suspended silicon nitride membranes were fabricated by low-pressure chemical vapor deposition (LPCVD) in conjunction(More)
Neighbor knowledge construction is the foundation for the development of cooperative query answering systems capable of searching for close match or approximate answers when exact match answers are not available. This paper presents a technique for developing neighbor hierarchies at the attribute level. The proposed technique is called the evolved(More)
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