Other Engineering Commons^™

Neuromorphic Computing Using Electrostatic Mems Devices, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

A continuous - time recurrent neural network ( CTRNN ) is described that exploits the nonlinear dynamics of micro electro - mechanical system ( MEMS ) devices to model a neuron in accordance with a neuron rate model that is the basis for dynamic field theory . Each MEMS device in the CTRNN is configured to simulate a neuron population by exploiting the characteristics of bi - stability and hysteresis inherent in certain MEMS device structures . In an embodiment , the MEMS device is a microbeam or cantilevered microbeam device that is excited with an alternating current ( AC …

Cost Efficient 3d Printed Mold For Thermoforming, Julianna Buck

Honors Theses

Traditional machined thermoforming molds are extremely expensive to produce. For small business owners who will have a very low volume of production this is not always a viable solution. To counteract this, the 3D thermoforming mold team strives to create a detailed manuscript complete with all the necessary information on how to produce a quality thermoforming mold through 3D printing. This manual will include information on producing a mold with parameters such as time to 3D print, type of printing materials, a cost analysis of producing the mold, and pre- and post-processing of the mold in preparation for production. The …

Warehouse And Logistics: Smart Picking With Vuzix Smart Glasses, Elise Hemink

Frameless

Vuzix is an industry leader in augmented reality (AR) technology. We provide innovative products to an array of industries, a few being defense, security, enterprise, and consumers. Our AR technology provides a perfect balance of engagement in the digital and real worlds thanks to their innovative optics, AI apps and 5G capability.

A Real-Time Gaze Estimation Framework For Mobile Devices, Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu

Frameless

Tracking eyes becomes an important component to unleash new ways of human-machine interactions in augmented and virtual reality (AR/VR). To make the eye tracking system responsible, eye tracking systems need to operate at a real-time rate (> 30Hz). However, from our experiments, modern gaze tracking algorithms operate at most 5 Hz on mobile processors. In this talk, we present a real-time eye tracking algorithm that operates at 30 Hz on a mobile processor. Our algorithm achieves sub-0.5° gaze accuracy, while requiring only 30K parameters, which is one to two orders of magnitude smaller than state-of-the-art algorithms.

Performance Improvements In Inner Product Encryption, Serena Riback

Honors Scholar Theses

Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure. However, searching for entries among an encrypted database proves to be a security problem - how should one search encrypted data without leaking any information to a potential attacker? The proximity searchable encryption scheme, as discussed in the work by Cachet et al., uses the notions of inner product encryption developed by Kim et al.. In this paper, we will focus on the efficiency of these schemes. Specifically, how the symmetry of the bilinear …

Ai Based Optimization Of Odometry Performance On Mobile Robots, Sunny Leveson Jones, Charles Koduru

Symposium of Student Scholars

Robots have become a large part of the modern world and have been used to navigate through complex environments, with various optimal speeds and pathing requirements. To improve this, we have developed an AI-based predictive pathing optimizer that takes in data regarding the requested route and implements optimal speeds. The algorithm will compare time lost to the time gained by moving at a higher velocity. This has been developed by implementing continual circular patterns onto a mobile robot, which allows for rapid analysis of both the accuracy and the speed of the cycle. This optimization is proposed to increase the …

Digital Versus Analog: How Well Do Audio Plugins Compare To Their Analog Counterparts, Aidan C. Mckernan

Honors Scholars Collaborative Projects

In the modern era, anyone can be an audio engineer. Recording equipment and microphones have never been more accessible to the consumer thanks to the rise of computers and digital signal processing. With the introduction of USB-powered audio interfaces, amateur artists can go from unknown to internationally viral overnight from the comfort of their own bedroom. With the introduction of audio plugins that model real analog recording equipment, professional audio engineers can take their work with them wherever they go. The ubiquity of computers has allowed such hardware and software to be priced competitively while retaining the precision required in …

The Music Bluetooth Controller: An Intersection Between Technology And Music, Lydia Wu

Senior Honors Theses

The modern musician faces a new challenge: how can technology be used to enhance a performance? This thesis documents the development of a Bluetooth remote controller that will aid today’s performing musicians by interacting with a digital display (e.g., an iPad) to flip musical score pages remotely. At its core, while mimicking a Bluetooth pedal (the current industry standard), this device attaches to the musician’s hand. In its pilot stages, the device has been referred to “MBC” (Music Bluetooth Controller).

A Deep Learning-Based Approach To Extraction Of Filler Morphology In Sem Images With The Application Of Automated Quality Inspection, Md. Fashiar Rahman, Tzu-Liang Bill Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin

Engineering Faculty Articles and Research

Automatic extraction of filler morphology (size, orientation, and spatial distribution) in Scanning Electron Microscopic (SEM) images is essential in many applications such as automatic quality inspection in composite manufacturing. Extraction of filler morphology greatly depends on accurate segmentation of fillers (fibers and particles), which is a challenging task due to the overlap of fibers and particles and their obscure presence in SEM images. Convolution Neural Networks (CNNs) have been shown to be very effective at object recognition in digital images. This paper proposes an automatic filler detection system in SEM images, utilizing a Mask Region-based CNN architecture. The proposed system …

Theoretical Justification Of The Parameters Leveler Track Rippers, A Tuxtakuziyev, A O. Naurizbayev

Scientific-technical journal

The article presents the results of research on obtaining analytical expressions that allow us to determine the rational values of the parameters (angles of installation of levelers to the direction of movement and solution, the width of the levelers, the gap between the levelers, the length of the levelers, the height of the levelers) of the levelers of the wide-span small leveler and the calculations performed on them.

Encouraging Voluntary Government Action Via A Solar-Friendly Designation Program To Promote Solar Energy In The United States, Xue Gao, Casey I. Canfield, Tian Tang, Hunter Hill, Morgan Higman, John Cornwell

Engineering Management and Systems Engineering Faculty Research & Creative Works

Sustainable development requires an accelerated transition toward renewable energy. In particular, substantially scaling up solar photovoltaics (PV) adoption is a crucial component of reducing the impacts of climate change and promoting sustainable development. However, it is challenging to convince local governments to take action. This study uses a combination of propensity score matching (PSM) and difference-in-differences (DID) models to assess the effectiveness of a voluntary environmental program (VEP) called SolSmart that targets local governments to engage in solar-friendly practices to promote the local solar PV market in the United States. Via specific designation requirements and technical assistance, SolSmart simplifies the …

Interpreting Multi-Stage Teaching And Learning Initiatives For Mechanical Engineering Students - A Knowledge Management Perspective For Students, Kevin Delaney, Ger Nagle, Mingzhu Chen

Conference papers

Encouraging students to “think differently”, to “think like an engineer”, to “just solve the problem” is challenging and depends upon many factors such as the prior learning and experiences of the particular students involved. Sometimes it is difficult to convince students to really engage with activities outside their own comfort zones if they cannot see the potential benefits that might accrue through such engagement.

This paper describes a paradigm, inspired by knowledge management, which the authors have used to explain the importance of engaging with teaching and learning activities to undergraduate students. More importantly it helps these students to understand …

Memory Surf: The Surfing App, Lorenzo Quaid Sison

Liberal Arts and Engineering Studies

Surfing has a very special place in my heart—my dad taught me, my younger brother, and my younger sister at a young age. Since then, the sport has deeply enriched my appreciation for nature and allowed me to better connect with friends.

One late afternoon I was sitting in the water on my board with two of my best friends, watching the rich sunset colors melt into the water; a sea otter was floating on his back next to us, cracking a shell open on his stomach. Then, suddenly, a few feet away, we saw a pod of dolphins leap …

Spatial And Temporal Variation Of Selected Water Quality Parameters In The Tanzanian Side Of Lake Victoria, Richard Joseph Kimwaga

Tanzania Journal of Engineering and Technology (TJET)

Lake Victoria’s water quality is increasingly becoming under heavy pressure mainly due to land based activities and aerial inputs which are taking place within the basin. This study was carried out to assess the spatial, including vertical and temporal, variation of the water quality of Lake Victoria on the Tanzanian side. Historical water quality data for the period from 2000 to 2016 was collected. Temperature, pH, Dissolved Oxygen (DO) and Turbidity were selected for study since they are the mostly measured and monitored water quality parameters. Land use-land cover changes were analysed using ArcGIS. ILWIS 3.7 software was used to …

Influence Of Site And System Parameters On The Performance Of Roof-Top Grid-Connected Pv Systems Installed In Harlequins, Belfast, Northern Ireland, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon, Desmond Lalor, Ciaran Mcnamara

Other Resources

The problem of energy scarcity has hit a global scale because of the dependency of most of the energy generation on non-renewable sources (e.g., fossil fuels). As in supply and demand laws, the lower the amount of energy provided, the more expensive it becomes, causing a major problem for the industry in general, which is dependent on it. These non-renewable energy sources contribute to environmental degradation effects and depletion of the ozone layer from the atmosphere. To reduce this effect, the use of renewable energy sources which is environmentally friendly has been on the growing index across the globe.

Solar …

Ahp Based Multi Criteria Decision Analysis Of Success Factors To Enhance Decision Making In Infrastructure Construction Projects, Solomon Belay, James D. Goedert, Asregedew Woldesenbet, Saeed Rokooei

Durham School of Architectural Engineering and Construction: Faculty Publications

The study presents analytical data-based multi-criteria approach of critical success factors of infrastructure construction projects analyzed in the Ethiopian construction industry. This multi-criteria technique helps to improve the decision capabilities and ultimate performance of construction processes in various low-income countries of the East African region. The aim of this paper is to establish a logical relationship and interdependencies of success-related factors for enhancing decision making for various project teams and identify priorities while taking into account all known construction organizational constraints. A structured hierarchical matrix was developed based on a pre-identified success-related factors, and initially evaluated by experienced professionals as …

Resource Availability And Implications For The Development Of Plug‐In Electric Vehicles, Ona Egbue, Suzanna Long, Seong Dae Kim

Engineering Management and Systems Engineering Faculty Research & Creative Works

Plug‐in electric vehicles (PEVs) have immense potential for reducing greenhouse gas emissions and dependence on fossil fuels, and for smart grid applications. Although a great deal of research is focused on technological limitations that affect PEV battery performance targets, a major and arguably equal concern is the constraint imposed by the finite availability of elements or resources used in the manufacture of PEV batteries. Availability of resources, such as lithium, for batteries is critical to the future of PEVs and is, therefore, a topic that needs attention. This study addresses the issues related to lithium availability and sustainability, particularly supply …

Representation Learning For Chemical Activity Predictions, Mohamed S. Ayed

Dissertations, Theses, and Capstone Projects

Computational prediction of a phenotypic response upon the chemical perturbation on a biological system plays an important role in drug discovery and many other applications. Chemical fingerprints derived from chemical structures are a widely used feature to build machine learning models. However, the fingerprints ignore the biological context, thus, they suffer from several problems such as the activity cliff and curse of dimensionality. Fundamentally, the chemical modulation of biological activities is a multi-scale process. It is the genome-wide chemical-target interactions that modulate chemical phenotypic responses. Thus, the genome-scale chemical-target interaction profile will more directly correlate with in vitro and in …

Designing And Implementing A Novel Graduate Program To Develop Transdisciplinary Leaders In Urban Sustainability, Megan M. Wallen, Ingrid Guerra-Lopez, Louay Meroueh, Rayman Mohamed, Andrea Sankar, Pradeep Sopory, Ryan Watkins, Donna R. Kashian

Biological Sciences Faculty Research Publications

Urban settings, where >50% of the world's population resides, are increasingly faced with environmental challenges that threaten their sustainability. Aging infrastructure, water and air pollution, and increasing recognition of environmental injustices highlight the need for professionals to employ complex scientific reasoning across disciplines where they can effectively address the multifaceted issues of urban sustainability. Here we present an innovative model for preparing the next generation of public, private, and academic leaders to address complex problems in urban sustainability. Specifically, we outline the design and implementation of an integrated, adaptable graduate training program, with the goals of science leadership, curriculum relevancy, …

Preparing A Gamma Ray Instrument For Space Flight, Peter A. Jenke, Michael Briggs

Summer Community of Scholars (RCEU and HCR) Project Proposals

No abstract provided.