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Articles 1 - 4 of 4
Full-Text Articles in Engineering
Conceptual Understanding Of Threshold Concepts Of Electrical Phenomena: Mental Models Of Senior Undergraduates In Electrical Engineering, Mark T. Carnes
Conceptual Understanding Of Threshold Concepts Of Electrical Phenomena: Mental Models Of Senior Undergraduates In Electrical Engineering, Mark T. Carnes
Open Access Dissertations
Every field of study has a set of domain-specific concepts that anyone who desires to work in that field must know and understand. Most students who pursue university degrees in engineering trust that their education is designed to provide them with this knowledge. But does it? In electrical engineering (EE), conceptual understanding of electrical phenomena has rarely been addressed. Even though the presumed goal of instructors and students alike is to learn the concepts of electrical phenomena well enough to be able to use the concepts to design useful things, it is difficult to determine whether this goal is being …
The School Of Engineering And Computer Science Class Of 2016 Computer Science And Computer And Electrical Engineering Academic Celebration Program, Cedarville University
The School Of Engineering And Computer Science Class Of 2016 Computer Science And Computer And Electrical Engineering Academic Celebration Program, Cedarville University
Engineering and Computer Science Academic Celebrations
No abstract provided.
Neurosim: Naturally Extensible, Unique Risc Operation Simulator, David Eric Mcneil
Neurosim: Naturally Extensible, Unique Risc Operation Simulator, David Eric Mcneil
Graduate Theses - Electrical and Computer Engineering
The NEUROSim framework consists of a compiler, assembler, and cycle-accurate processor simulator to facilitate computer architecture research. This framework provides a core instruction set common to many applications and a simulated datapath capable of executing these instructions. However, the core contribution of NEUROSim is its exible and extensible design allowing for the addition of instructions and architecture changes which target aspecic application. The NEUROSim framework is presented through the analysis of many system design decisions including execution forwarding, control change detection, FPU configuration, loop unrolling, recursive functions, self modifying code, branch predictors, and cache architectures. To demonstrate its exible nature, …
A Wavelet Transform Module For A Speech Recognition Virtual Machine, Euisung Kim
A Wavelet Transform Module For A Speech Recognition Virtual Machine, Euisung Kim
All Graduate Theses, Dissertations, and Other Capstone Projects
This work explores the trade-offs between time and frequency information during the feature extraction process of an automatic speech recognition (ASR) system using wavelet transform (WT) features instead of Mel-frequency cepstral coefficients (MFCCs) and the benefits of combining the WTs and the MFCCs as inputs to an ASR system. A virtual machine from the Speech Recognition Virtual Kitchen resource (www.speechkitchen.org) is used as the context for implementing a wavelet signal processing module in a speech recognition system. Contributions include a comparison of MFCCs and WT features on small and large vocabulary tasks, application of combined MFCC and WT features on …