VLSI testing and characterization system for micro electro-mechanical (MEM) sensors

The purpose of this investigation was to develop and implement a general purpose VLSI (Very Large Scale Integration) Test Module based on a FPGA (Field Programmable Gate Array) system to verify the mechanical behavior and performance of MEM sensors, with associated corrective capabilities; and to make use of the evolving System-C, a new open-source HDL (Hardware Description Language), for the design of the FPGA functional units. System-C is becoming widely accepted as a platform for modeling, simulating and implementing systems consisting of both hardware and software components. In this investigation, a Dual-Axis Accelerometer (ADXL202E) and a Temperature Sensor (TMP03) were used for the test module verification. Results of the test module measurement were analyzed for repeatability and reliability, and then compared to the sensor datasheet. Further study ideas were identified based on the study and results analysis. ASIC (Application Specific Integrated Circuit) design concepts were also being pursued.

Designing for Dual Submission of ETDs

The main objective is to get participants thinking about how they can solve problems associated with a dual submission of ETDs. Many institutions choose to archive ETDs in their repositories, but also mandate, insist, or permit ETDs to be submitted to ProQuest via the UMI ETD Administrator. The Administrator offers a no-submission-fee route for ETD inclusion in ProQuest’s ubiquitous subscription databases. At FIU, after deciding on a mandatory ETD Policy in July 2011, we considered moving from a payment/snail mail submission to altogether scrapping submission to ProQuest; however, our librarians made a case for keeping at least an option for ProQuest submission. After consideration of all the options, implementing the UMI ETD Administrator seemed the most logical because it relieves payment, paperwork, and snail mail. Unfortunately, the UMI ETD Administrator creates as many problems as it solves e.g., the dual submission. According to the Berkman Center’s Good Practices for University Open-Access Policies, the university should offer to make additional deposits outside of the institutional repository. Thus, we sought to find a way for the students to only submit once to our DigitalCommons Institutional Repository. By June 2012, we manually triaged our first batch of ETDs from our DigitalCommons to the UMI ETD Administrator; however, since that first batch we have identified problems with metadata submission, entering student information, and the ETD Administrator default setup. For instance, with our second batch, we eliminated discrepancies with the department field; in our third batch, we eliminated concerns with FERPA and submitting student information; in our fourth batch, we look to cut down the time of each manual submission. Attendees, with institutions considering the ETD Administrator, should expect to anticipate and solve several issues associated with implementing the system in conjunction with an institutional repository. Attendees, who work with both the ETD Administrator and an Institutional Repository, should expect to gain new ideas for eliminating a dual submission for students, a quicker publication turn around, and/or decreased workflow time.

A theoretical analysis of eyewitness identification: Dual -process theory, signal detection theory and eyewitness confidence

Given the growing number of wrongful convictions involving faulty eyewitness evidence and the strong reliance by jurors on eyewitness testimony, researchers have sought to develop safeguards to decrease erroneous identifications. While decades of eyewitness research have led to numerous recommendations for the collection of eyewitness evidence, less is known regarding the psychological processes that govern identification responses. The purpose of the current research was to expand the theoretical knowledge of eyewitness identification decisions by exploring two separate memory theories: signal detection theory and dual-process theory. This was accomplished by examining both system and estimator variables in the context of a novel lineup recognition paradigm. Both theories were also examined in conjunction with confidence to determine whether it might add significantly to the understanding of eyewitness memory. ^ In two separate experiments, both an encoding and a retrieval-based manipulation were chosen to examine the application of theory to eyewitness identification decisions. Dual-process estimates were measured through the use of remember-know judgments (Gardiner & Richardson-Klavehn, 2000). In Experiment 1, the effects of divided attention and lineup presentation format (simultaneous vs. sequential) were examined. In Experiment 2, perceptual distance and lineup response deadline were examined. Overall, the results indicated that discrimination and remember judgments (recollection) were generally affected by variations in encoding quality and response criterion and know judgments (familiarity) were generally affected by variations in retrieval options. Specifically, as encoding quality improved, discrimination ability and judgments of recollection increased; and as the retrieval task became more difficult there was a shift toward lenient choosing and more reliance on familiarity. ^ The application of signal detection theory and dual-process theory in the current experiments produced predictable results on both system and estimator variables. These theories were also compared to measures of general confidence, calibration, and diagnosticity. The application of the additional confidence measures in conjunction with signal detection theory and dual-process theory gave a more in-depth explanation than either theory alone. Therefore, the general conclusion is that eyewitness identifications can be understood in a more complete manor by applying theory and examining confidence. Future directions and policy implications are discussed. ^