"Submitted in partial fulfillment of the requirements for the degree of Master of Science in Program Management from the Naval Postgraduate School, June 2010." / Advisor(s): Wood, Karen ; Pickar, Charles. "June 2010." "Joint applied project"--Cover. Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Technology Transition, DARPA. Includes bibliographical references (p. 51-54). Also available in print.

Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2009. / Includes bibliographical references.

Thesis (Ph. D. in Interdisciplinary Studies: Management of Technology)--Vanderbilt University, May 2009. / Title from title screen. Includes bibliographical references.

In wireless digital communications, the designer is constantly trying to minimize the probability of bit error rates within certain constraints, most notably signal power limits. One method of compensating for bit errors is the use of error control coding that provides sufficient structure to the signal to provide the location of the error. Error control coding requires circuits capable of performing matrix multiplication and comparing the result of various binary numbers. Although the concepts are relatively simple, the implementation becomes rapidly complex as the length of the code word and the uncoded message increase. As a result, most coding theory uses a (7,4) code in which the code word has seven bits of which four bits contain the information.2 The code results in a manageable number of 128 code words of which only 16 form valid codes. The redundancy is used for error correction. Now suppose a (15,7) code is used allowing 32,768 possible code words for which only 128 are valid information codes. This complexity can be reduced by using several functions in the Matlab Communications Toolbox, providing a unique learning opportunity for the engineering technology student.

As one of the most powerful DSP products of Texas Instruments, the TMS320C6x DSPs have been used in a variety of areas in industries for real-time signal processing applications (e.g., communication, radar system, hearing aid etc.), and in research agencies for developing advanced algorithms and prototyping of a DSP system for specific applications. In education, the C6x DSPs were also widely used as a tool for bridging the gap between the digital signal processing theory and practical applications. The hardware-based laboratories have been successfully integrated into the digital signal processing course at many universities. However, most labs were designed only for very common signal processing problems such as the FIR/IIR filter design, FFT and so on. In this paper, a system for real-time EEG (electroencephalograph) signal acquisition, processing and presentation was proposed and will be implemented with the Texas Instrument's TMS320C6713 DSK being used as the hardware platform. As a practical application of C6713 DSK in biomedical signal processing, this project is designed as a complement of the current DSP laboratories of the Digital Signal Processors course for senior level undergraduates/graduates in Biomedical Engineering Technology Program (BMET) at the university. After the completion of the project, students are expected to be able to understand the scheme of a real world DSP system, process EEG signals for specific applications and gain the experience in processing the real world signals. In addition, this project is also intended for preparing the motivated high level students for future career in biomedical signal processing areas.

Construction risks such as cost and schedule overruns, technology failure, force majeure etc. are common in most construction projects. However, risks in secondary nature should not be ignored. For quality assurance (QA) of construction materials most state highway agencies and contractors use statistical methods which assume normal distribution of data. However, data analysis from several states identified highly skewed and kurtosis induced i.e. nonnormal data for asphalt content, material density and concrete compressive strength. High nonnormality can result falsely penalizing acceptable products, and rewarding bad products which can easily upset the relative profit margins of the contractor. A robust method named Box-Cox transformation with golden section search algorithm is developed that can correct nonnormality in such datasets.

This paper provides an overview of the engineering modifications and the regulatory requirements to convert a U.S. registered aircraft for European operations as a freighter. The paper outlines the steps taken and the equipment installed to meet Joint Airworthiness Regulations (JAR) and German Luftfahrt-Bundesamt (LBA) regulations by the author.

As one of the most powerful DSP products of Texas Instruments, the TMS320C6x DSPs have been used in a variety of areas in industries for real-time signal processing applications (e.g., communication, radar system, hearing aid etc.), and in research agencies for developing advanced algorithms and prototyping of a DSP system for specific applications. In education, the C6x DSPs were also widely used as a tool for bridging the gap between the digital signal processing theory and practical applications. The hardware-based laboratories have been successfully integrated into the digital signal processing course at many universities. However, most labs were designed only for very common signal processing problems such as the FIR/IIR filter design, FFT and so on. In this paper, a system for real-time EEG (electroencephalograph) signal acquisition, processing and presentation was proposed and will be implemented with the Texas Instrument's TMS320C6713 DSK being used as the hardware platform. As a practical application of C6713 DSK in biomedical signal processing, this project is designed as a complement of the current DSP laboratories of the Digital Signal Processors course for senior level undergraduates/graduates in Biomedical Engineering Technology Program (BMET) at the university. After the completion of the project, students are expected to be able to understand the scheme of a real world DSP system, process EEG signals for specific applications and gain the experience in processing the real world signals. In addition, this project is also intended for preparing the motivated high level students for future career in biomedical signal processing areas.

Construction risks such as cost and schedule overruns, technology failure, force majeure etc. are common in most construction projects. However, risks in secondary nature should not be ignored. For quality assurance (QA) of construction materials most state highway agencies and contractors use statistical methods which assume normal distribution of data. However, data analysis from several states identified highly skewed and kurtosis induced i.e. nonnormal data for asphalt content, material density and concrete compressive strength. High nonnormality can result falsely penalizing acceptable products, and rewarding bad products which can easily upset the relative profit margins of the contractor. A robust method named Box-Cox transformation with golden section search algorithm is developed that can correct nonnormality in such datasets.

In 2014, 41% of total U.S. energy consumption was consumed in residential and commercial buildings, or about 40 quadrillion British thermal units according to Commercial Building Energy Consumption Survey. As the number of commercial buildings and floor space increasing, business, industry and government organizations are under tremendous economic and environmental pressures to reduce energy consumption and dollar savings. Building "Envelope" generally refers to those building components (walls, doors, windows and roof) that enclose conditioned spaces and through which thermal energy is transferred to or from the outdoor environment and are significant sources of heat loss. A building envelope study provides a good qualitative and analytical understanding of the thermal performance of major building envelope components, identifies major deficiencies, and helps developing appropriate energy management project to improve performance. In this building envelope study, infrared thermography is used to assess envelope performance of five buildings on East Tennessee State University Campus. Infrared thermography provides a simple, fast, non-destructive, realistic, and reliable technology in determining the spatial temperature distributions of building envelope surfaces. An ArduCopter 3DR Hexa-C Drone and Fluke TI25 infrared hand held camera were used for rapid data collection. The camera was automated to take an image every 2 sec and a 10 minute drone flight captured 300 images covering whole building envelope. Data analysis and reports were carried out with the use of Smartview software and FLIR Reporter pro software. High quality infrared images and the data analysis reveal various insulation defects and heat loss issues through building envelopes. Cost-effective solutions are recommended to all problems detected which will potentially improve long term energy efficiency of the buildings and contribute to sustainable campus infrastructure development.