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FeatureNet: Machining Feature Recognition based on 3D Convolution Neural Network
(2017)
Automated machining feature recognition, a sub-discipline of solid modeling, has been an active research area for last three decades and is a critical component in digital manufacturing thread for detecting manufacturing ...
Second Order Noise Shaping SRO Based Time-to-Digital Converter (TDC)
(2017)
A two-stage switched ring oscillator (SRO) based time-to-digital converter (TDC) architecture which provides second order quantization noise shaping is proposed in this work. The proposed model is based on a digital phase ...
Atoms in Action: Observing Atomic Motion with Dynamic in situ X-ray Diffraction
(2017)
Metal-organic framework (MOF) materials are rich in both structural diversity and application. These materials are comprised of metal atoms or clusters which are connected in a three-dimensional polymer-like network by ...
Designing Multi-Drone Networks and Applications
(2017)
Recent advances in rotorcraft design, multi-rotor vehicle control, miniaturization of hardware, sensing, and battery technologies have enabled cheap, practical design of micro air vehicles (MAVs) for civilian and hobby ...
Data Driven Method for Building 3d Anatomical Models
(2017)
We present a method for building 3d models that takes into account the presence of tissue sampling. The purpose of this method is twofold: (1) Researchers who reconstruct 3D models will be able to calculate and understand ...
Privacy Preserving Representation Learning using Deep Neural Networks
(2017)
Privacy is a growing concern in today's world given the large digital footprint we leave behind on a day-to-day basis. Given the sensitive nature of personal data, there are concerns about it falling into the wrong hands. ...
A Flow-Integrated Microtissue Array System for Tissue Mechanics Study
(2017)
Biofabrication enables fantastic applications, such as 3D cell culture, disease modeling and drug screening. The current thesis describes the development ofa new microfabricated device, focusing on the role of the physical ...
A Bio-inspired Neural System for Energy Optimal Collision Avoidance by Unmanned Aerial Vehicles
(2017)
In this thesis, we develop an online collision detection/avoidance approach for multi-rotor (autonomous) unmanned aerial vehicles (UAVs). One-on-one collision detection is performed by a UAV based on the observation of its ...
Improved Graphene Synthesis and Comparison of Transfer Methods
(2017)
Graphene is a wonder material with a potential to be the next disruptive technology. Its material properties are second to none. However, in order to unleash its full potential, the growth and transfer needs to be optimized ...
Application of consumer-off-the-shelf (COTS) devices to human motion analysis
(2017)
Human upper limb motion analysis with sensing by way of consumer-off-the-shelf (COTS) devices presents a rich set of scientific, technological, and practical implementation challenges. The need for such systems is motivated ...