Engineering Commons^™

Daylight: What Makes The Difference?, M. Knoop, O. Stefani, B. Bueno, B. Matusiak, R. Hobday, A. Wirz-Justice, K. Martiny, T. Tandermann, N. Zemmouri, S. Appelt, Brian Norton

Articles

Light is necessary for vision; it enables us to sense and perceive our surroundings and in many direct and indirect ways, via eye and skin, affects our physiological and psychological health. The use of light in built environments has comfort, behavioural, economic and environmental consequences. Daylight has many particular benefits including excellent visual performance, permitting good eyesight, effective entrainment of the circadian systemas well as a number of acute non-image forming effects and the important role of vitamin D production. Some human responses to daylight seem to be well defined whilst others require more research to be adequately understood. This …

Comparison Of Hybridizing Options For Solar Heat, Biomass And Heat Storage For Electricity Generation In Spain, Cm Iftekhar Hussain, Brian Norton, Aidan Duffy

Articles

Diurnal and seasonal variations of direct solar energy circumscribe locations suitable for sole use of concentrated solar power for electricity generation, whereas to generate electricity at night and during winter months, biomass systems can be used that incur fuel expenditures and may encounter fuel supply discontinuities. Combining solar heat, biomass conversion and heat storage in a hybrid electricity generation plant may overcome the limitations of sole use of any one of these energy sources in specific geographic and/or economic conditions. In this work standalone biomass, hybrid concentrated solar power-biomass and hybrid concentrated solar power-biomass-thermal energy storage power generation systems are …

Mapping The In-Plane Electric Field Inside Irradiated Diodes, L. Poley, A.J. Blue, C. Buttar, V. Cindro, C. Darroch, V. Fadayev, J. Fernandez-Tejero, C. Fleta, C. Helling, C. Labitan, I. Mandic, S.N. Santpur, D. Sperlich, M. Ullan, Y. Unno

Articles

A significant aspect of the Phase-II Upgrade of the ATLAS detector is the replacement of the current Inner Detector with the ATLAS Inner Tracker (ITk). The ATLAS ITk is an all-silicon detector consisting of a pixel tracker and a strip tracker. Sensors for the ITk strip tracker have been developed to withstand the high radiation environment in the ATLAS detector after the High Luminosity Upgrade of the Large Hadron Collider at CERN, which will significantly increase the rate of particle collisions and resulting particle tracks. During their operation in the ATLAS detector, sensors for the ITk strip tracker are expected …

Vehicle-To-Grid Integration For Enhancement Of Grid: A Distributed Resource Allocation Approach, Deepak Tiwari, Mohd Adil Anwar Sheikh, Joseph Moyalan, Mayur Sawant, Sarika Khushalani Solanki, Jignesh Solanki

Faculty & Staff Scholarship

In the future grids, to reduce greenhouse gas emissions Electric Vehicles (EVs) seems to be an important means of transportation. One of the major disadvantages of the future grid is the demand-supply mismatch which can be mitigated by incorporating the EVs into the grid. The paper introduces the concept of the Distributed Resource Allocation (DRA) approach for incorporating a large number of Plug-in EV (PEVs) with the power grid utilizing the concept of achieving output consensus. The charging/discharging time of all the participating PEVs are separated with respect to time slots and are considered as strategies. The major aim of …

Predicting Fracture Extension Around A Borehole Using The Numerical Displacement Discontinuity Method, Nathaniel Schaefer

Theses and Dissertations--Mining Engineering

Prediction of blast damage radius is integral in the optimization of mining safety and production. The damage radius can be related to blasting variables such as fragmentation size as well as overbreak in hard rock. Various methods have been developed to predict and assess damage radius extension for individual holes to aid in blast design. These methods range from experimental and observational techniques to theoretical applications. Some of these methods have been used with a degree of success. However, many of them lack a comprehensive combination of experimental and theoretical contributions. Since post-blast environments are not conducive to assessing whether …

Proof Of Concept For The Development Of A Ground Vibration Sensor System For Future Research In Blasting, John Meuth

Theses and Dissertations--Mining Engineering

Ground vibrations from blasting are one of the leading limitations to mining (underground and surface). There is a need for a low-cost scalable vibration monitoring system to conduct large scale ground vibration projects in the mining industry. Studies conducted on ground vibrations use any number of different sensors to obtain their data, the different sensor capabilities and methods for data processing lead to uncertainties in the research and regulations set for ground vibrations. Commercial Systems do not allow researchers to obtain raw output data, and the data processing procedures are not provided or disclosed for these systems. In order to …

The Effect Of Delay And Sequence On Blasting Fragmentation Results, Tristan Worsey

Theses and Dissertations--Mining Engineering

Blasters use the delay between charges and the firing sequence of the explosive charges to help reduce vibrations and achieve the desired fragmentation. Although delay and sequence are recognized as very important for vibrations and fragmentation, only vibration models consider timing as a variable in the prediction tool, without any known model for fragmentation prediction based on the delay sequence. Of the few fragmentation models available, very few take delay into account and do not give guidance on row delay and/or sequence selections. With the invention of electronic detonators in 1984, there are new avenues to explore with sequence and …

On The Importance Of Second-Order Response Sensitivities To Nuclear Data In Reactor Physics Uncertainty Analysis, Dan Gabriel Cacuci

Faculty Publications

This invited keynote presentation compares the relative importance of 1st-order versus 2nd-order sensitivities of the leakage response of an OECD/NEA benchmark (polyethylene-reflected plutonium sphere) to the nuclear data characterizing this benchmark. The imprecisely known parameters underlying the neutron transport computational model for this benchmark include 180 group-averaged total microscopic cross sections, 21600 group-averaged scattering microscopic cross sections, 60 parameters describing the fission process, 30 parameters describing the fission spectrum, 10 parameters describing the system's sources, and 6 isotopic number densities. Thus, this benchmark comprises 21886 1st-order sensitivities of the leakage response with respect to the model parameters, and 478,996,996 2nd-order …

Leidenfrost Droplet Microfluidics, Sidy Ndao, George Gogos, Dennis Alexander, Troy Anderson, Craig Zuhlke

Department of Mechanical and Materials Engineering: Faculty Publications

Systems and methods are described for propelling a liquid droplet in a Leidenforst state. A microfluidic device embodiment includes, but is not limited to, a solid structure having a patterned surface, the patterned surface including at least a first patterned region having a first Leidenfrost temperature with respect to a fluid, the first patterned region adjacent to the second patterned region, the first patterned region defining a path over which a droplet of the fluid is configured to travel in a Leidenfrost state.

Iron Pyrite Nanocrystals, Jinsong Huang, Baodong Mao, Christopher L. Exstrom

Department of Mechanical and Materials Engineering: Faculty Publications

An apparatus includes a nanocrystal. The nanocrystal includes a core including FeS2; and a coating including a ligand component capable of chemically interacting with both an iron atom and a sulfur atom on a surface of the core.

Colocalized Sensing And Intelligent Computing In Micro-Sensors, Mohammad H. Hasan, Ali Al-Ramini, Eihab Abdel-Rahman, Roozbeh Jafari, Fadi Alsaleem

Department of Mechanical and Materials Engineering: Faculty Publications

This work presents an approach to delay-based reservoir computing (RC) at the sensor level without input modulation. It employs a time-multiplexed bias to maintain transience while utilizing either an electrical signal or an environmental signal (such as acceleration) as an unmodulated input signal. The proposed approach enables RC carried out by sufficiently nonlinear sensory elements, as we demonstrate using a single electrostatically actuated microelectromechanical system (MEMS) device. The MEMS sensor can perform colocalized sensing and computing with fewer electronics than traditional RC elements at the RC input (such as analog- to-digital and digital-to-analog converters). The performance of the MEMS RC …

Standardization Roadmap For Unmanned Aircraft Systems, Version 2.0, Kristine Kiernan, Robert Joslin, John Robbins

Publications

This Standardization Roadmap for Unmanned Aircraft Systems, Version 2.0 (“roadmap”) is an update to version 1.0 of this document published in December 2018. It identifies existing standards and standards in development, assesses gaps, and makes recommendations for priority areas where there is a perceived need for additional standardization and/or pre-standardization R&D.

The roadmap has examined 78 issue areas, identified a total of 71 open gaps and corresponding recommendations across the topical areas of airworthiness; flight operations (both general concerns and application-specific ones including critical infrastructure inspections, commercial services, and public safety operations); and personnel training, qualifications, and certification. Of that …

The Use Of Polyvinyldene Fluoride (Pvdf) Films For Pressure Measurement, Patrick Smith

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Plasma Jet Flow Characterization Via Computational Modeling, Declan Brick

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Role Of The Adhesion Torque On Spiky Particles Deposition, Kailian Davis

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

An Electrostatic Field Detector For Pulsed Power Safety, Bailey Gregory

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Applications Of Cloud-Based Quantum Computers With Cognitive Computing Algorithms In Automated, Evidence-Based Virginia Geriatric Healthcare, Henry Childs

AUCTUS: The Journal of Undergraduate Research and Creative Scholarship

Quantum computers have recently headlined IBM’s next generation of products promoting computational evolution. After the successful release of the cloud-streaming quantum computer IBM Watson Q, the company has released projections for future development of quantum devices. Because of the incredible processing power of these machines and the expected integration into everyday life in the near future, what implications can this have in the healthcare field?

I am studying cloud-based quantum computers with natural language processing (NLP) algorithms and patient health record data because I want to understand automated, evidenced-based co-optimized treatment of home-bound geriatric patients in order to help my …

Recommended Training Practices To Prepare Pilots To Cope With Information Conflicts, Meredith Carroll, Paige Sanchez, Donna Wilt

Aeronautics Faculty Publications

As the next generation of flight deck information systems are being utilized on the flight deck, pilots now have greater amounts of information at their fingertips. Information that was typically available only from certified information sources in aircraft panels, is now being provided by a range of sources, both within the panel and on Electronic Flight Bags (EFBs). Although redundant sources of information provide pilots a means by which to crosscheck and hone in on ground truth, they also introduce the potential for pilots encountering conflicting information. As conflicting information can have negative effects on decision making, there is a …

Automatic Detection Of Learner Engagement Using Machine Learning And Wearable Sensors, Meredith Carroll, Mitchell Ruble, Mark Dranias, Summer Rebensky, Maria Chaparro, Joanna Chiang, Brent Winslow

Aeronautics Faculty Publications

Training can now be delivered on a large scale through mobile and web-based platforms in which the learner is often distanced from the instructor and their peers. In order to optimize learner engagement and maximize learning in these contexts, instructional content and strategies must be engaging. Key to the de-velopment and study of such content and strategies, and adaptation of instruc-tional techniques when learners become disengaged, is the ability to objec-tively assess engagement in real-time. Previous self-reported metrics, or expen-sive EEG-based engagement measures are not appropriate for large-scale plat-forms due to their complexity and cost. Here we describe the development …

A Novel S-Box-Based Postprocessing Method For True Random Number Generation, Erdi̇nç Avaroğlu, Taner Tuncer

Turkish Journal of Electrical Engineering and Computer Sciences

The quality of randomness in numbers generated by true random number generators (TRNGs) depends on the source of entropy. However, in TRNGs, sources of entropy are affected by environmental changes and this creates a correlation between the generated bit sequences. Postprocessing is required to remove the problem created by this correlation in TRNGs. In this study, an S-box-based postprocessing structure is proposed as an alternative to the postprocessing structures seen in the published literature. A ring oscillator (RO)-based TRNG is used to demonstrate the use of an S-box for postprocessing and the removal of correlations between number sequences. The statistical …

Harmonic Effects Optimization At A System Level Using A Harmonic Power Flowcontroller, Reza Mehri, Hossein Mokhtari

Turkish Journal of Electrical Engineering and Computer Sciences

Increase of nonlinear loads in industries has resulted in high levels of harmonic currents and consequently harmonic voltages in power networks. Harmonics have several negative effects such as higher energy losses and equipment life reduction. To reduce the levels of harmonics in power networks, different methods of harmonic suppression have been employed. The basic idea in all of these methods is to prevent harmonics from flowing into a power network at customer sides and the point of common coupling (PCC). Due to the costs, none of the existing mitigating methods result in a harmonic-free power system. The remaining harmonic currents, …

Sla-Aware Routing Strategy For Multi-Tenant Software-Defined Networks, Ali Malik, Ruairí De Fréin

Conference papers

A crucial requirement for the network service provider is to satisfy the Service Level Agreements (SLA) that it has made with its customers. Coexisting network tenants may have agreed different SLAs, and thus, the service provider must be able to provide QoS differentiation in order to meet his contractual commitments. Current one-size-fits-all routing models are not appropriate for all network tenants if their individual SLA requirements are to be efficiently met. We propose a SDN-based multi-cost routing approach which allocates network resources based on a portfolio of tenant SLA, which achieves the goal of accommodating multiple tenants, given their SLAs. …

Digital Image Exchange Using A No-Key(S) Protocol With Phase-Only Encryption,, Jonathan Blackledge, N. Mosola

Conference papers

This paper considers an algorithm for transferring a digital image over an open network using a No-key(s) Protocol or Three-Way Pass and phase-only encryption/decryption. After providing a short study on the theoretical background to the method, an algorithm is presented on a step-by-step basis. Cryptanalysis is undertaken for the three intercept and single intercept cases, when it is assumed that the encrypted data is intercepted in its entirety for each pass or for any single pass, respectively. The algorithm focuses on the exchange of a JPEG image although in principle, the approach is independent of the format of the image …

Active Learning For Auditory Hierarchy, William Coleman, Sarah Jane Delany, Charlie Cullen, Ming Yan

Conference papers

Much audio content today is rendered as a static stereo mix: fundamentally a fixed single entity. Object-based audio envisages the delivery of sound content using a collection of individual sound ‘objects’ controlled by accompanying metadata. This offers potential for audio to be delivered in a dynamic manner providing enhanced audio for consumers. One example of such treatment is the concept of applying varying levels of data compression to sound objects thereby reducing the volume of data to be transmitted in limited bandwidth situations. This application motivates the ability to accurately classify objects in terms of their ‘hierarchy’. That is, whether …

Meaningful Age-Friendly Design. Case Studies On Enabling Assistive Technology., Matteo Zallio, Damon Berry, Larry J. Leifer

Conference papers

The world population is steadily ageing and the World Health Organization recently stated that 8.5 percent of people worldwide are aged 65 and over. This cohort is projected to account for 1.6 billion people by 2050. Assistive Technology has been developed over previous decades with a particular aim to support people with disabilities. With the evolution of the market and the introduction of wearable technologies and IoT-based (Internet of Things) appliances, Assistive Technology has been influenced by the discipline of Age-Friendly Design, which has been applied to meaningfully improve the autonomy of a larger segment of the population, including older …

Modern Techniques For Discovering Digital Steganography, Michael Hegarty, Anthony Keane

Conference papers

Digital steganography can be difficult to detect and as such is an ideal way of engaging in covert communications across the Internet. This research paper is a work-in-progress report on instances of steganography that were identified on websites on the Internet including some from the DarkWeb using the application of new methods of deep learning algorithms. This approach to the identification of Least Significant Bit (LSB) Steganography using Convolutional Neural Networks (CNN) has demonstrated some efficiency for image classification. The CNN algorithm was trained using datasets of images with known steganography and then applied to datasets with images to identify …

Metal Filled Carbon Nanotubes In Radiation Therapy : Dose Enhancement Effect, Sarah Ashmeg

Legacy Theses & Dissertations (2009 - 2024)

In this work, the radiation dose enhancement is studied using a novel method and material that has not been widely investigated, at the time of this publication. Radiation dose enhancement is a useful technique in the field of radiation therapy, especially when dealing with radioresistant cells. Ideally, it increases the dose to the desired site with no additional damage to organs at risk.

Towards Machine Learning In Chemical Sensing : Milk Differentiation And Quality Control Through Two-Dimensional Nano-Sensor Array, Yu Sheng Chen

Legacy Theses & Dissertations (2009 - 2024)

Herein, we developed a novel artificial tongue using machine learning and 12 nanoassemblies (2D-NAs) to identify and analyzed different kinds of milk beverages for quality control. This biomimetic sensor array was trained to “taste” different milk types as an “artificial tongue” which is the first time we demonstrated that this sensor array can be implemented to complex systems. Two-dimensional nanoparticles (2D-nps) and nine fluorescently labeled single stranded oligonucleotides (ssDNA) with different length and nucleobases were assembled to create 12 2D-NAs. The artificial tongue was deployed to identify and analyze five milk types. All five milk types were discriminated with 95% …

Using Systems Archetypes And Generic Structures To Support Water Resource Management Studies : The Case Of Cropping Pattern Change In New Mexico State, Babak Bahaddin

Legacy Theses & Dissertations (2009 - 2024)

A wide range of managerial problems are similar in nature, and yet they continuously appear in different forms and in different geographical locations. Compared to other sciences, it seems that in the field of management, managers have a hard time facing these similar problems. Part of this issues is caused by the extreme complexity of the systems and another part is caused by the lack of a universal language with which managers can communicate their lessons. This dissertation offers a set of tools that have been previously manufactured in systems science, and more specifically in System Dynamics.

Increasing Performance Of Classifiers For Ssvep-Based Brain-Computer Interfaces Using Extension Methods, Ethan Douglas Webster

Legacy Theses & Dissertations (2009 - 2024)

Brain-computer interfaces (BCI) provide an alternative communication method that does not require standard physical mediums (speech, typing, etc.). These systems have been implemented to provide additional communication and control options for people with certain motor disabilities. Classification is an important part of BCI systems and consists of inferring user commands from brain activity. Supervised classification methods often achieve higher accuracy, but unsupervised classification methods are useful when training is not practical for the user. This thesis focuses on unsupervised classification algorithms used for a BCI speller application and presents extensions for two existing classifiers that improve classification accuracy and thus …