Mark Golkowski

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This paper addresses a few specific aspects of measuring the lower bound of antenna efficiency in a reverberation chamber. While the initial method for measuring the lower bound of efficiency has been presented, three key revisions are discussed here: (1) an updated notation, (2) a revised method for calculating the lower bound of efficiency, and (3) a new(More)
Breast cancer is a serious potential health problem for all women and is the second leading cause of cancer deaths in the United States. The current screening procedures and imaging techniques, including x-ray mammography, clinical biopsy, ultrasound imaging, and magnetic resonance imaging, provide only 73% accuracy in detecting breast cancer. This gives(More)
Non-thermal plasma has become an increasingly useful technology across a wide variety of disciplines. Currently a number of plasma-based technologies, which deliver reactive oxygen and nitrogen species (RONS), are being investigated for therapeutic sterilization in the biomedical field. We report on a novel, non-thermal plasma/free radical system developed(More)
Determining absolute transmitting efficiency has been a difficult task since the inception of the antenna itself. While methods that can measure transmitting efficiency do exist, most are complicated and prone to high uncertainties. A new method is presented for determining the lower bound of absolute transmitting efficiency by use of a reverberation(More)
The use of antennas is becoming more widespread as common devices, from cell phones to laptop computers to automobiles, are being introduced into wireless communication networks. The increased use of antennas and wireless technologies is revolutionizing communications, but also making antenna characterization an integral part of system design. Many(More)
The problem of self-tuning of coupling parameters in multi-agent systems is considered. Agent dynamics are described by a discrete-time double integrator with unknown input gain. Each agent locally tunes the strength of interaction with neighboring agents by using a normalized gradient algorithm (NGA). The tuning algorithm minimizes the square of the error(More)
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