+publisher:"Purdue University" +contributor:("Eugenio Culurciello")

Purdue University

1. Gokhale, Vinayak A. Nn-X - a hardware accelerator for convolutional neural networks.

Degree: MSECE, Electrical and Computer Engineering, 2014, Purdue University

URL: http://docs.lib.purdue.edu/open_access_theses/722

► Convolutional neural networks (ConvNets) are hierarchical models of the mammalian visual cortex. These models have been increasingly used in computer vision to perform object… (more)

Subjects/Keywords: Computer Engineering; Electrical and Computer Engineering; Electrical and Electronics

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APA (6^th Edition):

Gokhale, V. A. (2014). Nn-X - a hardware accelerator for convolutional neural networks. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/722

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gokhale, Vinayak A. “Nn-X - a hardware accelerator for convolutional neural networks.” 2014. Thesis, Purdue University. Accessed December 14, 2019. http://docs.lib.purdue.edu/open_access_theses/722.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gokhale, Vinayak A. “Nn-X - a hardware accelerator for convolutional neural networks.” 2014. Web. 14 Dec 2019.

Vancouver:

Gokhale VA. Nn-X - a hardware accelerator for convolutional neural networks. [Internet] [Thesis]. Purdue University; 2014. [cited 2019 Dec 14]. Available from: http://docs.lib.purdue.edu/open_access_theses/722.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gokhale VA. Nn-X - a hardware accelerator for convolutional neural networks. [Thesis]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_theses/722

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Purdue University

2. Jeong, Jun Young. Analysis of structural and functional brain networks.

Degree: MSECE, Electrical and Computer Engineering, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_theses/965

► The brain is a representative example of a network. It consists of numerous spatially distributed regions that continuously exchange information through structural connections. In… (more)

Subjects/Keywords: Applied sciences; Brain networks; Electrical and Computer Engineering

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APA (6^th Edition):

Jeong, J. Y. (2016). Analysis of structural and functional brain networks. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/965

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jeong, Jun Young. “Analysis of structural and functional brain networks.” 2016. Thesis, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_theses/965.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jeong, Jun Young. “Analysis of structural and functional brain networks.” 2016. Web. 14 Dec 2019.

Vancouver:

Jeong JY. Analysis of structural and functional brain networks. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_theses/965.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jeong JY. Analysis of structural and functional brain networks. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/965

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Purdue University

3. Zaidy, Aliasger. ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES.

Degree: MSECE, Electrical and Computer Engineering, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_theses/1197

► Convolutional Neural Networks (CNNs) are biologically inspired feed forward artificial neural networks. The artificial neurons in CNNs are connected in a manner similar to the… (more)

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APA (6^th Edition):

Zaidy, A. (2016). ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/1197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zaidy, Aliasger. “ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES.” 2016. Thesis, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_theses/1197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zaidy, Aliasger. “ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES.” 2016. Web. 14 Dec 2019.

Vancouver:

Zaidy A. ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_theses/1197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zaidy A. ACCURACY AND PERFORMANCE IMPROVEMENTS IN CUSTOM CNN ARCHITECTURES. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/1197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Purdue University

4. Du, Yuezhi. Signal enhancement and data mining for biological and chemical samples using mass spectrometry.

Degree: PhD, Biomedical Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1110

► Mass spectrometry has been actively involved in the areas of healthcare, pharmaceutics, environmental analysis, food industry and forensics due to its ability to provide molecular… (more)

Subjects/Keywords: Biomarker identification; Data mining; Mass spectrometry; Sample classification; Signal enhancement; Signal processing

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APA (6^th Edition):

Du, Y. (2015). Signal enhancement and data mining for biological and chemical samples using mass spectrometry. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1110

Chicago Manual of Style (16^th Edition):

Du, Yuezhi. “Signal enhancement and data mining for biological and chemical samples using mass spectrometry.” 2015. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1110.

MLA Handbook (7^th Edition):

Du, Yuezhi. “Signal enhancement and data mining for biological and chemical samples using mass spectrometry.” 2015. Web. 14 Dec 2019.

Vancouver:

Du Y. Signal enhancement and data mining for biological and chemical samples using mass spectrometry. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1110.

Council of Science Editors:

Du Y. Signal enhancement and data mining for biological and chemical samples using mass spectrometry. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1110

Purdue University

5. Li, Yu-Ting. Embodied interaction with visualization and spatial navigation in time-sensitive scenarios.

Degree: PhD, Industrial Engineering, 2014, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/323

► Paraphrasing the theory of embodied cognition, all aspects of our cognition are determined primarily by the contextual information and the means of physical interaction… (more)

▼ Paraphrasing the theory of embodied cognition, all aspects of our cognition are determined primarily by the contextual information and the means of physical interaction with data and information. In hybrid human-machine systems involving complex decision making, continuously maintaining a high level of attention while employing a deep understanding concerning the task performed as well as its context are essential. Utilizing embodied interaction to interact with machines has the potential to promote thinking and learning according to the theory of embodied cognition proposed by Lakoff. Additionally, the hybrid human-machine system utilizing natural and intuitive communication channels (e.g., gestures, speech, and body stances) should afford an array of cognitive benefits outstripping the more static forms of interaction (e.g., computer keyboard). This research proposes such a computational framework based on a Bayesian approach; this framework infers operator's focus of attention based on the physical expressions of the operators. Specifically, this work aims to assess the effect of embodied interaction on attention during the solution of complex, time-sensitive, spatial navigational problems. Toward the goal of assessing the level of operator's attention, we present a method linking the operator's interaction utility, inference, and reasoning. The level of attention was inferred through networks coined Bayesian Attentional Networks (BANs). BANs are structures describing cause-effect relationships between operator's attention, physical actions and decision-making. The proposed framework also generated a representative BAN, called the Consensus (Majority) Model (CMM); the CMM consists of an iteratively derived and agreed graph among candidate BANs obtained by experts and by the automatic learning process. Finally, the best combinations of interaction modalities and feedback were determined by the use of particular utility functions. This methodology was applied to a spatial navigational scenario; wherein, the operators interacted with dynamic images through a series of decision making processes. Real-world experiments were conducted to assess the framework's ability to infer the operator's levels of attention. Users were instructed to complete a series of spatial-navigational tasks using an assigned pairing of an interaction modality out of five categories (vision-based gesture, glove-based gesture, speech, feet, or body balance) and a feedback modality out of two (visual-based or auditory-based). Experimental results have confirmed that physical expressions are a determining factor in the quality of the solutions in a spatial navigational problem. Moreover, it was found that the combination of foot gestures with visual feedback resulted in the best task performance (p< .001). Results have also shown that embodied interaction-based multimodal interface decreased execution errors that occurred in the cyber-physical scenarios (p < .001). Therefore we conclude that appropriate use… Advisors/Committee Members: Juan Wachs, Juan Wachs, Eugenio Culurciello, Shimon Nof, Brad Duerstock.

Subjects/Keywords: Computer Engineering; Engineering; Industrial Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, Y. (2014). Embodied interaction with visualization and spatial navigation in time-sensitive scenarios. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/323

Chicago Manual of Style (16^th Edition):

Li, Yu-Ting. “Embodied interaction with visualization and spatial navigation in time-sensitive scenarios.” 2014. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/323.

MLA Handbook (7^th Edition):

Li, Yu-Ting. “Embodied interaction with visualization and spatial navigation in time-sensitive scenarios.” 2014. Web. 14 Dec 2019.

Vancouver:

Li Y. Embodied interaction with visualization and spatial navigation in time-sensitive scenarios. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/323.

Council of Science Editors:

Li Y. Embodied interaction with visualization and spatial navigation in time-sensitive scenarios. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/323

Purdue University

6. Barbera, Giovanni. Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording.

Degree: PhD, Mechanical Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1087

► The brain is the most complex and least understood biological system known to man. New imaging techniques are providing scientists with an entirely new perspec-… (more)

Subjects/Keywords: Calcium imaging; Cell clustering; Dorsal striatum; In vivo imaging; Miniature fluorescence microscopy

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APA (6^th Edition):

Barbera, G. (2015). Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1087

Chicago Manual of Style (16^th Edition):

Barbera, Giovanni. “Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording.” 2015. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1087.

MLA Handbook (7^th Edition):

Barbera, Giovanni. “Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording.” 2015. Web. 14 Dec 2019.

Vancouver:

Barbera G. Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1087.

Council of Science Editors:

Barbera G. Design of an Embedded Fluorescence Imaging System for Implantable Optical Neural Recording. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1087

Purdue University

7. Bercich, Rebecca A. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.

Degree: PhD, Biomedical Engineering, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/621

► Neuromuscular diseases manifest by a handful of known phenotypes affecting the peripheral nerves, skeletal muscle fibers, and neuromuscular junction. Common signs of these diseases… (more)

▼ Neuromuscular diseases manifest by a handful of known phenotypes affecting the peripheral nerves, skeletal muscle fibers, and neuromuscular junction. Common signs of these diseases include demyelination, myasthenia, atrophy, and aberrant muscle activity—all of which may be tracked over time using one or more electrophysiological markers. Mice, which are the predominant mammalian model for most human diseases, have been used to study congenital neuromuscular diseases for decades. However, our understanding of the mechanisms underlying these pathologies is still incomplete. This is in part due to the lack of instrumentation available to easily collect longitudinal, in vivo electrophysiological activity from mice. There remains a need for a fully wireless, batteryless, and implantable recording system that can be adapted for a variety of electrophysiological measurements and also enable long-term, continuous data collection in very small animals. To meet this need a miniature, chronically implantable device has been developed that is capable of wirelessly coupling energy from electromagnetic fields while implanted within a body. This device can both record and trigger bioelectric events and may be chronically implanted in rodents as small as mice. This grants investigators the ability to continuously observe electrophysiological changes corresponding to disease progression in a single, freely behaving, untethered animal. The fully wireless closed-loop system is an adaptable solution for a range of long-term mechanistic and diagnostic studies in rodent disease models. Its high level of functionality, adjustable parameters, accessible building blocks, reprogrammable firmware, and modular electrode interface offer flexibility that is distinctive among fully implantable recording or stimulating devices. The key significance of this work is that it has generated novel instrumentation in the form of a fully implantable bioelectric recording device having a much higher level of functionality than any other fully wireless system available for mouse work. This has incidentally led to contributions in the areas of wireless power transfer and neural interfaces for upper-limb prosthesis control. Herein the solution space for wireless power transfer is examined including a close inspection of far-field power transfer to implanted bioelectric sensors. Methods of design and characterization for the iterative development of the device are detailed. Furthermore, its performance and utility in remote bioelectric sensing applications is demonstrated with humans, rats, healthy mice, and mouse models for degenerative neuromuscular and motoneuron diseases. Advisors/Committee Members: Pedro P. Irazoqui, Pedro P. Irazoqui, Eugenio Culurciello, Bradley S. Duerstock, Kevin L. Seburn.

Subjects/Keywords: Applied sciences; Bioelectric; Neuromuscular diseases; Recording device; Stimulation; Wireless recording device; Biomedical Engineering and Bioengineering

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APA (6^th Edition):

Bercich, R. A. (2016). Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/621

Chicago Manual of Style (16^th Edition):

Bercich, Rebecca A. “Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.” 2016. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/621.

MLA Handbook (7^th Edition):

Bercich, Rebecca A. “Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.” 2016. Web. 14 Dec 2019.

Vancouver:

Bercich RA. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/621.

Council of Science Editors:

Bercich RA. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/621

Purdue University

8. Mei, Henry. Coupled resonator based wireless power transfer for bioelectronics.

Degree: PhD, Biomedical Engineering, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/678

► Implantable and wearable bioelectronics provide the ability to monitor and modulate physiological processes. They represent a promising set of technologies that can provide new… (more)

▼ Implantable and wearable bioelectronics provide the ability to monitor and modulate physiological processes. They represent a promising set of technologies that can provide new treatment for patients or new tools for scientific discovery, such as in long-term studies involving small animals. As these technologies advance, two trends are clear, miniaturization and increased sophistication i.e. multiple channels, wireless bi-directional communication, and responsiveness (closed-loop devices). One primary challenge in realizing miniaturized and sophisticated bioelectronics is powering. Integration and development of wireless power transfer (WPT) technology, however, can overcome this challenge. In this dissertation, I propose the use of coupled resonator WPT for bioelectronics and present a new generalized analysis and optimization methodology, derived from complex microwave bandpass filter synthesis, for maximizing and controlling coupled resonator based WPT performance. This newly developed set of analysis and optimization methods enables system miniaturization while simultaneously achieving the necessary performance to safely power sophisticated bioelectronics. As an application example, a novel coil to coil based coupled resonator arrangement to wirelessly operate eight surface electromyography sensing devices wrapped circumferentially around an able-bodied arm is developed and demonstrated. In addition to standard coil to coil based systems, this dissertation also presents a new form of coupled resonator WPT system built of a large hollow metallic cavity resonator. By leveraging the analysis and optimization methods developed here, I present a new cavity resonator WPT system for long-term experiments involving small rodents for the first time. The cavity resonator based WPT arena exhibits a volume of 60.96 x 60.96 x 30.0 cm3. In comparison to prior state of the art, this cavity resonator system enables nearly continuous wireless operation of a miniature sophisticated device implanted in a freely behaving rodent within the largest space. Finally, I present preliminary work, providing the foundation for future studies, to demonstrate the feasibility of treating segments of the human body as a dielectric waveguide resonator. This creates another form of a coupled resonator system. Preliminary experiments demonstrated optimized coupled resonator wireless energy transfer into human tissue. The WPT performance achieved to an ultra-miniature sized receive coil (2 mm diameter) is presented. Indeed, optimized coupled resonator systems, broadened to include cavity resonator structures and human formed dielectric resonators, can enable the effective use of coupled resonator based WPT technology to power miniaturized and sophisticated bioelectronics. Advisors/Committee Members: Pedro P. Irazoqui, Pedro P. Irazoqui, Jennifer Bernhard, Eugenio Culurciello, Zhongming Liu.

Subjects/Keywords: Pure sciences; Applied sciences; Bandpass filter; Bioelectronics; Cavity resonator; Coupled resonator; Evanescent fields; Wireless power transfer; Biomedical Engineering and Bioengineering; Electrical and Computer Engineering; Electromagnetics and Photonics

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APA (6^th Edition):

Mei, H. (2016). Coupled resonator based wireless power transfer for bioelectronics. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/678

Chicago Manual of Style (16^th Edition):

Mei, Henry. “Coupled resonator based wireless power transfer for bioelectronics.” 2016. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/678.

MLA Handbook (7^th Edition):

Mei, Henry. “Coupled resonator based wireless power transfer for bioelectronics.” 2016. Web. 14 Dec 2019.

Vancouver:

Mei H. Coupled resonator based wireless power transfer for bioelectronics. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/678.

Council of Science Editors:

Mei H. Coupled resonator based wireless power transfer for bioelectronics. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/678

9. Dundar, Aysegul. Learning from minimally labeled data with accelerated convolutional neural networks.

Degree: PhD, Biomedical Engineering, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/641

► The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an image as an input and correctly classifies… (more)

Subjects/Keywords: Applied sciences; Artificial vision; Convolutional neural networks; Deep learning; Embedded systems; Neural networks; Computer Sciences; Electrical and Computer Engineering

…Matching Ratio xv ABSTRACT Dundar, Aysegul Ph.D., Purdue University, May 2016. Learning from… …Minimally Labeled Data with Accelerated Convolutional Neural Networks. Major Professor: Eugenio… …Culurciello. The main objective of an Artificial Vision Algorithm is to design a mapping function…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dundar, A. (2016). Learning from minimally labeled data with accelerated convolutional neural networks. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/641

Chicago Manual of Style (16^th Edition):

Dundar, Aysegul. “Learning from minimally labeled data with accelerated convolutional neural networks.” 2016. Doctoral Dissertation, Purdue University. Accessed December 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/641.

MLA Handbook (7^th Edition):

Dundar, Aysegul. “Learning from minimally labeled data with accelerated convolutional neural networks.” 2016. Web. 14 Dec 2019.

Vancouver:

Dundar A. Learning from minimally labeled data with accelerated convolutional neural networks. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Dec 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/641.

Council of Science Editors:

Dundar A. Learning from minimally labeled data with accelerated convolutional neural networks. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/641

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Open Access Theses and Dissertations