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Novel n x n Bit-Serial Multiplier Architecture Optimized for Field Programmable Gate Arrays (FPGA)
PI Akhan Almagambetov
CO-I David Feinauer
CO-I Holly Ross
Bit-serial multipliers have a variety of applications, from the implementation of neural networks to cryptography. The advantage of a bit-serial multiplier is its relatively small footprint, when implemented on a Field Programmable Gate Array (FPGA) device. Despite their apparent advantages, however, traditional bit-serial multipliers typically require a substantial overhead, in terms of component usage, which directly translates to a large area of the chip being reserved while many of those resources are unused.
This research addresses the possibility of an efficient two's complement bit-serial multiplier (serial-serial multiplier) implementation that would minimize flip-flop and control set usage on an FPGA device, thereby potentially reducing the overall area of the circuit. Since the proposed architecture is modular, it functions as a "generic" definition that can be effortlessly implemented on an FPGA device for any number of bits.
Categories: Faculty-Staff
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Integrated Structural Health Sensors for Inflatable Space Habitats
PI Dae Won Kim
PI Sirish Namilae
Under this research project we will develop an innovative structural health monitoring system for inflatable space habitat structures by integrating nanocomposite piezoresistive sensors
Inflatable structures for space habitats are highly prone to damage caused by micrometeoroid and orbital debris impacts. Although the structures are effectively shielded against these impacts through multiple layers of impact resistant materials, there is a necessity for a health monitoring system to monitor the structural integrity and damage state within the structures. Assessment of damage is critical for the safety of personnel in the habitat, as well as predicting the repair needs and the remaining useful life of the habitat. We are developing a unique impact detection and health monitoring system based on hybrid nanocomposite sensors composed of carbon nanotube sheet and coarse graphene platelets. An array of these sensors sandwiched between soft good layers in a space habitat can act as a damage detection layer for inflatable structures. We will further develop algorithms to determine the event of impact, its severity, and location on the sensing layer for active health monitoring. Our sensor system will be tested in the hypervelocity impact testing facility at UDRI in future.Categories: Faculty-Staff
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Platform for Investigating Concept Networks on the Instrumentality of Knowledge (PICNIK)
PI Matthew Verleger
This engineering education research project seeks to develop a concept network for engineering and a platform for helping students identify how concepts are connected across a curriculum. The goal is to better understand and improve how students value the concepts being taught throughout their education.
By data mining course materials (i.e., textbooks, course notes, syllabi, video transcripts, websites, etc.), a concept network can be developed for that course. With each additional resource, the network connectedness become more fully representative. By mapping materials from courses throughout a curriculum, and then overlaying the resulting map on a degree plan of study, students will be able to better identify and value how concepts being taught today are connected and used throughout the rest of their education. For instructors, curricular redesign becomes significantly easier, as they will be able to more fully contextualize how other courses depend on their material.
Categories: Faculty-Staff
1-3 of 3 results