This dissertation covers my graduate research about the development of micro biosensors which are embedded in soft contact lenses for human health monitoring in University of Washington. The work mainly focuses on two ...

Nonstationary processes have local properties which change over time. An example is speech, which can be represented as pitch harmonics multiplied by slower-varying syllabic modulations. Commonly-used power spectral analysis ...

According to Nyquist Sampling theorem, a band-limited signal can be reconstructed accurately if the sampling rate exceeds twice the maximum frequency of the signal. In many scenarios, this Nyquist sampling rate cannot be ...

The combination of optoelectronic arrays consisting of optical emitters and detectors with processing electronics constitutes the basis of smart pixel arrays. These architectures present an attractive basis for optoelectronic ...

This dissertation presents progress toward the realization of functional contact lenses. Two primary goals of the functional contact lens project are to create displays for augmented reality and to create sensors to measure ...

Lithium-ion rechargeable batteries have enabled the proliferation of mobile electronics based on its high energy density, negligible memory effect and relatively high cycling capability. Unfortunately, while small scale ...

In recent years, the interest in Expert Systems (ES) has grown rapidly. The application of expert systems to power system operations and on-line environments is a new area of research. In this thesis, the issues involved ...

The results of research done in three areas of electromagnetics are presented in a three part document. Part I discusses the development of a wirelessly controlled and wirelessly powered space-fed phased array antenna ...

Demand for data services in cellular networks is growing exponentially, due to the proliferation of high-end, multimedia-enabled mobile devices. To meet this challenge, cellular operators are moving toward a heterogeneous ...

The goal of this dissertation is to develop a machining tool-wear classification system which uses features drawn from accelerometers that respond to machining vibrations. Specifically, we use features from wide band ...