Fred DePiero - Academia.edu (original) (raw)

Papers by Fred DePiero

2021 ASEE Virtual Annual Conference Content Access, Jul 26, 2021

$Research paper thumbnail of SIPTool: The \u27Signal and Image Processing Tool\u27 An Engaging Learning Environment$

The ‘Signal and Image Processing Tool’ is a multimedia software environment for demonstrating and... more The ‘Signal and Image Processing Tool’ is a multimedia software environment for demonstrating and developing Signal & Image Processing techniques. It has been used at Cal Poly for three years. A key feature is extensibility via C/C++ programming. The tool has a minimal learning curve, making it amenable for weekly student projects. The software distribution includes multimedia demonstrations ready for classroom or laboratory use. SIPTool programming assignments strengthen the skills needed for life-long learning by requiring students to translate mathematical expressions into a standard programming language, to create an integrated processing system (as opposed to simply using canned processing routines)

Dr. Majid Poshtan obtained his PhD in EECE from Tulane University, New Orleans, USA in 2000. Dr. ... more Dr. Majid Poshtan obtained his PhD in EECE from Tulane University, New Orleans, USA in 2000. Dr. Poshtan has over 20 years of wide-ranging experience in EE academic and industry. He is an expert in electric power systems, transmission planning, short circuits studies and protection, condition monitoring of generators, induction motors, transformers and power cables, substation design, power system computer simulators, and Real Time simulator. Dr. Poshtan is currently a faculty member in California Polytechnic State University in San Luis Obispo, CA, USA.

Space 2000, Feb 18, 2000

ABSTRACT

31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193)

NetExam is a web-based testing engine. In addition to automated testing and grading capabilities,... more NetExam is a web-based testing engine. In addition to automated testing and grading capabilities, NetExam computes statistics that are tied directly to program outcomes, for ABET2000 assessment purposes. NetExam provides advantages over scantron-style testing as it also presents statistics on program outcomes on the web. This facilitates review and black board-style comments by program constituents. Also, all of the exam generation, grading, statistics and program assessment features are integrated into the web-based system. First usage is planned for the 2001-2002 academic year.

A bilateral, force-reflecting controller was formulated for a 6- Degree-of-Freedom (6-DOF) master... more A bilateral, force-reflecting controller was formulated for a 6- Degree-of-Freedom (6-DOF) master operating a 7-DOF slave. Six degrees of freedom are required to arbitrarily position and orient a manipulator and effector. A 7-DOF slave manipulator is desirable because the additional (or redundant) degree of freedom potentially allows for an infinite number of manipulator configurations for a given end effector position

During 1991, a remotely operated surface mapping measurement system was developed at Oak Ridge Na... more During 1991, a remotely operated surface mapping measurement system was developed at Oak Ridge National Laboratory for use in the K-65 waste silos at Fernald, Ohio. Preliminary reports have been presented discussing the planned development project and intermediate results. In this report, the authors discuss the sensor system development and present the final results of the hot deployment. The K-65 silos are above ground, domed, concrete, and reinforced steel structures built in the early 1950s to store uranium residue from the Feed Materials Production Center (FMPC), Fernald, Ohio. Two of the four silos contain a waste material that is rich in radium content and, hence, generate large amounts of radon gas. During the fall of 1991, a layer of bentonite clay was deposited over the entire waste surface in silos 1 and 2. This bentonite layer was placed to act as an absorber to capture the emitted radon gas. The authors describe the application of a structured light source to obtain was...

Proceedings of Auvs 93 Unmanned Systems Expanding Government and Commercial Applications Washington D C, 1993

Oak Ridge National Laboratory staff have developed a video compression system for low-bandwidth r... more Oak Ridge National Laboratory staff have developed a video compression system for low-bandwidth remote operations. The objective is to provide real-time video at data rates comparable to available tactical radio links, typically 16 to 64 thousand bits per second (kbps), while maintaining sufficient quality to achieve mission objectives. The system supports both continuous lossy transmission of black and white (gray scale) video for remote driving and progressive lossless transmission of black and white images for remote automatic target acquisition. The average data rate of the resulting bit stream is 64 kbps. This system has been demonstrated to provide video of sufficient quality to allow remote driving of a High-Mobility Multipurpose Wheeled Vehicle at speeds up to 15 mph (24.1 kph) ,_n a moguled dirt track. The nominal driving configuration provides a frame rate of 4 Hz, a compression per frame of 125:1, and a result.ing latency of~ls. This paper reviews the system approach and implementation, and further describes some of our experiences when using the system to support remote driving.-60 million bits per second. Currently available tactical communication links support only 16 to 64 thousand bits per second (kbps). This equates to a minimum video compression requirement of-1000:1 for remote operations via these types of low-bandwidth channels.

Proceedings of 13th International Conference on Pattern Recognition, 1996

Segmentation is ajimdamental process affecting the overall quality and utility of a machine visio... more Segmentation is ajimdamental process affecting the overall quality and utility of a machine vision system. Range Profile Tracking (RPT) is a systematic approach for stable, accurate and high speed segmentation of range images that is based on Kalman filtering. Tests of RPT have produced stable decompositions of second order surfaces bounded by jump and crease discontinuities, having a volumetric error of a few percent, in under 6 sec. for a wide variety of conditions. Results from over 900 tests on synthetic scenes and 150 real range images are presented. 'tllus research is sponsored in part by a grant awarded by the Japan Railways.

Accreditation is an important aspect of contemporary engineering education and globalization impa... more Accreditation is an important aspect of contemporary engineering education and globalization impacts what is being taught and assessed. The ABET EC-2000 criteria that currently guide engineering accreditation program review processes include both “hard” skills (e.g., “an ability to apply knowledge of mathematics, science, and engineering”) and “professional” or “soft” skills. In the area of soft skills, attention to “global competence” has proliferated in higher education since the 1990s – including definitions, assessment criteria, and proposed mechanisms. However, little agreement exists regarding how to assess the effects of global engineering education or, relatedly, on the scale and type of global engineering mechanisms needed to meet competency goals. Analysis of recent PEOs from 48 programs in 36 institutions (235 PEOs total) suggests an almost complete lack of attention to global competence: the PEOs analyzed include the words global, international or world less than 7% of t...

Oak Ridge National Laboratory has developed a real-time video transmission system for lowbandwidt... more Oak Ridge National Laboratory has developed a real-time video transmission system for lowbandwidth remote operations. The system supports both continuous transmission of video for remote driving and progressive transmission of still images. Inherent in the system design is a spatiotemporal limitation to the effects of channel errors. The average data rate of the system is 64,000 bits/s, a compression of approximately 1000:1 for the black and white National Television Standard Code video. The image quality of the transmissions is maintained at a level that supports teleoperation of a high-mobility multipurpose wheeled vehicle at speeds up to 15 mph on a moguled dirt track. Video compression is achieved by using Laplacian image pyramids and a combination of classical techniques. Certain subbands of the image pyramid are transmitted by using interframe differencing with a periodic refresh to aid in bandwidth reduction. Images are also foveated to concentrate image detail in a steerable region. The system supports dynamic video quality adjustments between frame rate, image detail, and foveation rate. A typical configuration for the system used during driving has a frame rate of~4 Hz, a compression per frame of~125:1, and a resulting latency of < ls.

2017 ASEE Annual Conference & Exposition Proceedings

Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State... more Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State University in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. While there he was involved in a variety of real-time image processing projects and several laser-based ranging systems. Fred began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. Fred joined the faculty at CalPoly in September of 1996. He is presently serving as the Associate Dean for Student Success in the College of Engineering.

2007 Annual Conference & Exposition Proceedings

While there he was involved in a variety of real-time image processing projects including a high-... more While there he was involved in a variety of real-time image processing projects including a high-compression video transmission system for remote driving and several laser-based ranging systems. Fred began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. His research interests include multidisciplinary applications of graph matching and range data sensing, registration and surface modeling. Fred joined the faculty at CalPoly in September of 1996. His teaching areas include signal and image processing. Fred is presently an Assistant Dean in the College of Engineering and leads the ABET accreditation efforts.

2013 ASEE Annual Conference & Exposition Proceedings

Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State... more Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State University in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. While there he was involved in a variety of real-time image processing projects and several laser-based ranging systems. Dr. DePiero began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. His research interests include multidisciplinary applications of graph matching and range data sensing, registration and surface modeling. Fred joined the faculty at CalPoly in September of 1996. Fred is presently the Associate Dean for Undergraduate Affairs in the College of Engineering.

2017 ASEE Annual Conference & Exposition Proceedings

Introductory electronic circuits courses with a lab component are typically taught in a standard ... more Introductory electronic circuits courses with a lab component are typically taught in a standard lecture-lab format where lecture and lab are taught as separate classes potentially by different instructors. The lecture portion of the course typically involves the Professor delivering a 'chalk-talk' about circuit analysis techniques and the lab portion of the course typically involves students measuring voltages and currents in provided circuits with electronic test equipment. Two major problems arise with this method of teaching: 1. Students often do not see the connection between what they are learning in lecture with what they are doing in lab and 2. Students often do not see a connection with what they are doing in lab with real-world applications. Without being able to directly implement what they learn in lecture to a practical and useful real-world example or problem, students become disinterested in the subject and may even choose to leave the major. This paper discusses an attempt to modify the structure and content of an introductory electronic circuits course to make the course more engaging for students to hopefully increase retention of students within the major. The course's "studio format" (a course where lecture and lab are combined) focuses on providing students with multiple opportunities to directly apply what they are learning in lecture to real-world applications in a laboratory setting. The paper discusses the course's format and its weekly integrated lab activities. It then discusses the student and instructor reactions to the course and compares them with student and instructor reactions to the course taught in the traditional format. Finally, the paper discusses lessons learned and suggestions for future offerings as well as plans for tracking how the course affects student retention.

2016 ASEE Annual Conference & Exposition Proceedings

His research interests include distributed control of multi-agent networks as well as STEM educat... more His research interests include distributed control of multi-agent networks as well as STEM education practices that foster diversity and equity.

2021 ASEE Virtual Annual Conference Content Access, Jul 26, 2021

$Research paper thumbnail of SIPTool: The \u27Signal and Image Processing Tool\u27 An Engaging Learning Environment$

Space 2000, Feb 18, 2000

ABSTRACT

31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193)

Proceedings of Auvs 93 Unmanned Systems Expanding Government and Commercial Applications Washington D C, 1993

Proceedings of 13th International Conference on Pattern Recognition, 1996

2017 ASEE Annual Conference & Exposition Proceedings

2007 Annual Conference & Exposition Proceedings

2013 ASEE Annual Conference & Exposition Proceedings

Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State... more Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State University in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. While there he was involved in a variety of real-time image processing projects and several laser-based ranging systems. Dr. DePiero began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. His research interests include multidisciplinary applications of graph matching and range data sensing, registration and surface modeling. Fred joined the faculty at CalPoly in September of 1996. Fred is presently the Associate Dean for Undergraduate Affairs in the College of Engineering.

2017 ASEE Annual Conference & Exposition Proceedings

2016 ASEE Annual Conference & Exposition Proceedings