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Full-Text Articles in Engineering

Architecture Of Heptagonal Metallo-Macrocycles Via Embedding Metal Nodes Into Its Rigid Backbone, A.M.Shashika D. Wijerathna, He Zhao, Qiangqiang Dong, Qixia Bai, Zhiyuan Jiang, Jie Yuan, Jun Wang, Mingzhao Chen, Markus Zirnheld, Rockwell T. Li, Yuan Zhang, Yiming Li, Pingshan Wang Jan 2023

Architecture Of Heptagonal Metallo-Macrocycles Via Embedding Metal Nodes Into Its Rigid Backbone, A.M.Shashika D. Wijerathna, He Zhao, Qiangqiang Dong, Qixia Bai, Zhiyuan Jiang, Jie Yuan, Jun Wang, Mingzhao Chen, Markus Zirnheld, Rockwell T. Li, Yuan Zhang, Yiming Li, Pingshan Wang

College of Sciences Posters

Metal-organic macrocycles have received increasing attention not only due to their versatile applications such as molecular recognition, compounds encapsulation, anti-bacteria and others, but also for their important role in the study of structure-property relationship at nano scale. However, most of the constructions utilize benzene ring as the backbone, which restricts the ligand arm angle in the range of 60, 120 and 180 degrees. Thus, the topologies of most metallo-macrocycles are limited as triangles and hexagons, and explorations of using other backbones with large angles and the construction of metallo-macrocycles with more than six edges are very rare.

In this study, …


A Simulation Way To Investigate The Reason For Congestion In Urban——A Case Study In Hohhot China, Junqing Wang, Hong Yang, Yuan Zhu, Qingwen Pu, Shunlai Cui Jan 2023

A Simulation Way To Investigate The Reason For Congestion In Urban——A Case Study In Hohhot China, Junqing Wang, Hong Yang, Yuan Zhu, Qingwen Pu, Shunlai Cui

College of Engineering & Technology (Batten) Posters

In the case of high density traffic flow, traditional traffic data statistical analysis methods, which not only have certain errors and lead to inaccurate data, but also have many limitations such as labor consumption, can no longer meet the demand for traffic analysis. Drones for traffic data, based on an aerial bird's-eye view, no offset, and error-free complete statistics of urban road shooting section of all data, while greatly reducing cost consumption. A multi-dimensional simulation model is established for the UAV data to the Hohhot central urban area's road simulation platform. This project will test and explore multidimensional data in …


Investigating The Impacts Of Connected Vehicles On Driving Aggressiveness And Situational Awareness In Highway Crash Scenarios: A Driving Simulator Study, Abdalziz Alruwaili Jan 2023

Investigating The Impacts Of Connected Vehicles On Driving Aggressiveness And Situational Awareness In Highway Crash Scenarios: A Driving Simulator Study, Abdalziz Alruwaili

College of Engineering & Technology (Batten) Posters

Psychological factors such as aggressiveness and situational awareness can impact driving performance. Connected vehicles (CV), equipped with advanced sensors and able to communicate safety messages to drivers, have the potential to influence driving performance by altering drivers’ aggressiveness and situational awareness. This paper aims to investigate the impacts of the CVs on driving aggressiveness and situational awareness in highway crash scenarios where a primary crash has already occurred, and a second crash may occur as a result. To achieve this goal, a driving simulator experiment was conducted, and questionnaires focused on driving aggressiveness and CV effectiveness were distributed. Structural equation …


Computer Based Modeling For Tilt-Wing E-Vtol Propeller Performance, Ege Konuk, Drew Landman Jan 2023

Computer Based Modeling For Tilt-Wing E-Vtol Propeller Performance, Ege Konuk, Drew Landman

College of Engineering & Technology (Batten) Posters

Recent decades have seen a rapid popularization of Urban Air Mobility (UAM) concepts. The new generation of designs presents a wide range of configurations and approaches to exploit the advantages of these vehicles that can be used in civil, commercial, and military applications. One of the more popular concepts is the tandem tilt-wing e-VTOL configuration. However, these types of VTOL configurations bring challenges for performance prediction during crucial parts of flight operations. The flight dynamics during transition regimes where the vehicle transitions from vertical to forward flight and vice versa is not fully understood. In this research, modified blade element …


Production Of Lithium Carbonate From Geothermal Brine By Selective Extraction Of Lithium Using A Novel Ion Sieve Method, Ujjwal Pokharel, Sandeep Kumar Jan 2023

Production Of Lithium Carbonate From Geothermal Brine By Selective Extraction Of Lithium Using A Novel Ion Sieve Method, Ujjwal Pokharel, Sandeep Kumar

College of Engineering & Technology (Batten) Posters

The project implements a novel approach to extract lithium from a geothermal brine with minimal water loss. Production of high-capacity lithium-ion (Li-ion) batteries for electric vehicles (EV) is believed to be the way to reduce dependence on fossil-fuel based vehicles. Currently, most of the lithium in the world comes from the mining of lithium or the evaporative/concentration of the brine. Mining is not environmentally friendly, and the evaporative process takes 12 months for the completion of the extraction process and results in a large amount of water loss which can lead to scarcity of water. The brines constitute 82% of …


Instructional Systems Design And The Diffusion And Adoption Of Technology: (Volume 1), Miguel Ramlatchan (Author & Editor), Mark Parsons (Author), Meghan Soldani (Author), Josie Joswick Mendoza (Author), Maria Satre (Author), Brittany Spitz (Author), Jasmine Bundy (Author), Amanda Kline (Author) Nov 2022

Instructional Systems Design And The Diffusion And Adoption Of Technology: (Volume 1), Miguel Ramlatchan (Author & Editor), Mark Parsons (Author), Meghan Soldani (Author), Josie Joswick Mendoza (Author), Maria Satre (Author), Brittany Spitz (Author), Jasmine Bundy (Author), Amanda Kline (Author)

Distance Learning Faculty & Staff Books

Instructional designers, instructional systems designers, and other educational technologists are, by their nature, innovators. These professionals apply and extend the applied science of learning, systems, communication, and instructional design theory to help students learn. Technology in some capacity is used to make the connections between subject matter experts, teachers, instructors, and their learners. It is common for instructional designers to seek new tools, techniques, and innovations for the improvement of learning, access, quality, and student satisfaction. However, the adoption and diffusion of new educational technology and innovation is a complex process that depends on many variables. Understanding these processes and …


Illuminator, Volume 5, Issue 3, Batten College Of Engineering And Technology, Old Dominion University Oct 2022

Illuminator, Volume 5, Issue 3, Batten College Of Engineering And Technology, Old Dominion University

College of Engineering & Technology Newsletter

October 2022 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


The Message Design Of Raiders Of The Lost Ark On The Atari 2600 & A Fan’S Map, Quick Start, And Strategy Guide, Miguel Ramlatchan, William I. Ramlatchan Jul 2022

The Message Design Of Raiders Of The Lost Ark On The Atari 2600 & A Fan’S Map, Quick Start, And Strategy Guide, Miguel Ramlatchan, William I. Ramlatchan

Distance Learning Faculty & Staff Books

The message design and human performance technology in video games, especially early video games have always been fascinating to me. From an instructional design perspective, the capabilities of the technology of the classic game consoles required a careful balance of achievable objectives, cognitive task analysis, guided problem solving, and message design. Raiders on the Atari is an excellent example of this balance. It is an epic adventure game, spanning 13+ distinct areas, with an inventory of items, where those hard to find items had to be used by the player to solve problems during their quest (and who would have …


Illuminator, Volume 5, Issue 2, Batten College Of Engineering & Technology, Old Dominion University Jun 2022

Illuminator, Volume 5, Issue 2, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

June 2022 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Analysis Of An Existing Method In Refinement Of Protein Structure Predictions Using Cryo-Em Images, Maytha Alshammari, Jing He, Willy Wriggers, Jiangwen Sun Apr 2022

Analysis Of An Existing Method In Refinement Of Protein Structure Predictions Using Cryo-Em Images, Maytha Alshammari, Jing He, Willy Wriggers, Jiangwen Sun

College of Sciences Posters

Protein structure prediction produces atomic models from its amino acid sequence. Three-dimensional structures are important for understanding the function mechanism of proteins. Knowing the structure of a given protein is crucial in drug development design of novel enzymes. AlphaFold2 is a protein structure prediction tool with good performance in recent CASP competitions. Phenix is a tool for determination of a protein structure from a high-resolution 3D molecular image. Recent development of Phenix shows that it is capable to refine predicted models from AlphaFold2, specifically the poorly predicted regions, by incorporating information from the 3D image of the protein. The goal …


Illuminator, Volume 5, Issue 1, Batten College Of Engineering & Technology, Old Dominion University Feb 2022

Illuminator, Volume 5, Issue 1, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

February 2022 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Human Interaction With Fake News, Autumn Woodson, Sampath Jayarathna (Mentor) Jan 2022

Human Interaction With Fake News, Autumn Woodson, Sampath Jayarathna (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.


Illuminator, Volume 4, Issue 1, Batten College Of Engineering & Technology, Old Dominion University Nov 2021

Illuminator, Volume 4, Issue 1, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

Fall 2021 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Automatic Generation And Novel Validation Of Patient-Specific, Anatomically Inclusive Scoliosis Models For Biomechanics-Informed Surgical Planning, Austin Tapp, Michel Audette, James Bennett Apr 2021

Automatic Generation And Novel Validation Of Patient-Specific, Anatomically Inclusive Scoliosis Models For Biomechanics-Informed Surgical Planning, Austin Tapp, Michel Audette, James Bennett

College of Engineering & Technology (Batten) Posters

Scoliosis is an abnormal spinal curvature of greater than 10 degrees. Severe scoliotic deformities are addressed with highly invasive procedures: anterior or posterior spinal fusion approaches. This invasiveness is due, in part, to the constraints of current surgical planning, which utilizes computed tomography (CT) scans unable to discern spinal ligaments that are dissected to make the spine sufficiently compliant for correction. If localization of ligaments and soft tissues were achieved pre-operatively, corrective procedures could become safer and more efficient by using finite element (FE) biomechanical simulations to determine decreased incidences of ligament releases. This research aims to achieve ligament localization …


Computational Aerodynamics Of A Wing Mounted Propeller, Sarah Agam Apr 2021

Computational Aerodynamics Of A Wing Mounted Propeller, Sarah Agam

College of Engineering & Technology (Batten) Posters

Computational fluid dynamics (CFD) is a vital component in aerospace engineering. A major use of CFD is analyzing the flow properties to determine outputs like aerodynamic lift and drag over an airfoil or compute engine efficiency. It is more practical to conduct a CFD analysis first before doing experimental work as CFD allows for rapid and diverse testing of propeller shapes at a lower cost. CFD also allows for a wider range of testing parameters; for example, an airfoil can be subjected to steady, unsteady, incompressible, or high velocity flows.

Propellers are extensively used in the aircraft industry, especially in …


Musculoskeletal Modeling Of The Pelvis And Lumbar Spine During Running, Ruth Higgins, Maryam Moeini, Hunter Bennett, Stacie Ringleb Apr 2021

Musculoskeletal Modeling Of The Pelvis And Lumbar Spine During Running, Ruth Higgins, Maryam Moeini, Hunter Bennett, Stacie Ringleb

College of Engineering & Technology (Batten) Posters

Musculoskeletal modeling provides an alternative to in-vivo characteristics that are difficult to directly measure for movements such as running, especially for trunk muscles and joints. The full-body-lumbar-spine (FBLS) model by Raabe and Chaudhari, 2016 is an OpenSim model created for simulations of jogging. The lifting full-body (LFB) model by Beaucage-Gauvreau et al., 2018 is an adaptation of the FBLS created for estimating spinal loads during lifting. PURPOSE: Determine validity of the FBLS and LFB models in simulating pelvis and lumbar spine kinematics during running. METHODS: Inverse Kinematics were executed using experimental data for the FBLS and LFB models. To …


Data-Limited Domain Adaptation And Transfer Learning For Learning Latent Expression Labels Of Child Facial Expression Images, Megan Witherow, Winston Shields, Manar Samad, Khan Iftekharuddin Apr 2021

Data-Limited Domain Adaptation And Transfer Learning For Learning Latent Expression Labels Of Child Facial Expression Images, Megan Witherow, Winston Shields, Manar Samad, Khan Iftekharuddin

College of Engineering & Technology (Batten) Posters

While state-of-the-art deep learning models have demonstrated success in adult facial expression classification by leveraging large, labeled datasets, labeled data for child facial expression classification is limited. Due to differences in facial morphology and development in child and adult faces, deep learning models trained on adult data do not generalize well to child data. Recent deep domain adaptation approaches have improved the generalizability of models trained on a source domain to a target domain with few labeled samples. We propose that incorporating steps of deep transfer learning, e.g. weights initialization from the pre-trained source model and freezing model layers, may …


3d Lidar Human Skeleton Estimation For Long Range Identification, Alexander Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir Dhar, Jide Familoni, Scott Acton, Khan Iftekharuddin Apr 2021

3d Lidar Human Skeleton Estimation For Long Range Identification, Alexander Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir Dhar, Jide Familoni, Scott Acton, Khan Iftekharuddin

College of Engineering & Technology (Batten) Posters

This research project is the continuation of an effort by the Vision Lab to understand human gait and motion using special-purpose imaging sensors and novel computer vision algorithms. The project began using a Motion Capture (MoCap) system which measures 3D human skeleton information in real-time by attaching markers to a human subject and viewing the human motion with a set of cameras at different angles. We developed an algorithm to determine the gender of a subject wearing these sensors. The current phase of this project extends this work using a state-of-the-art flash Lidar sensor. This sensor scans the surface of …


Unsupervised Multivariate Time Series Clustering, Md Monibor Rahman, Lasitha Vidyaratne, Alex Glandon, Khan Iftekharuddin Apr 2021

Unsupervised Multivariate Time Series Clustering, Md Monibor Rahman, Lasitha Vidyaratne, Alex Glandon, Khan Iftekharuddin

College of Engineering & Technology (Batten) Posters

Clustering is widely used in unsupervised machine learning to partition a given set of data into non-overlapping groups. Many real-world applications require processing more complex multivariate time series data characterized by more than one dependent variables. A few works in literature reported multivariate classification using Shapelet learning. However, the clustering of multivariate time series signals using Shapelet learning has not explored yet. Shapelet learning is a process of discovering those Shapelets which contain the most informative features of the time series signal. Discovering suitable Shapelets from many candidates Shapelet has been broadly studied for classification and clustering of univariate time …


Trials And Tribulations Of Humanizing Mice For Cancer Research, Brittney Ruedlinger, Steven Warsof, Eric Feliberti, Mary Beth Hughes, Ayobami ‘Edwin’ Oshin, Chunqi Jiang, Brittany P. Lassiter, Siqi Guo, Stephen J. Beebe Apr 2021

Trials And Tribulations Of Humanizing Mice For Cancer Research, Brittney Ruedlinger, Steven Warsof, Eric Feliberti, Mary Beth Hughes, Ayobami ‘Edwin’ Oshin, Chunqi Jiang, Brittany P. Lassiter, Siqi Guo, Stephen J. Beebe

The Graduate School Posters

Cancers are aggressive, evasive, and ruthless killers, claiming millions of lives every year. Cancers are heterogeneous and there is often no single, clearly defined problem as they harness and manipulate a multitude of fundamental mechanisms at the very essence of life. To investigate these mechanisms and vet potential interventive therapies, humanized mice offer a unique model as a prelude to the use of nanosecond pulse stimulation (NPS), a pulse power technology applying nanosecond duration, high electric field pulses, to ablate human tumors. Immunodeficient mouse strains, NSG and NSG-SGM3, were engrafted with human immune cells and human tumors, which would allow …


Cyclophilin D Is A Sensor Of Nano-Pulse Stimulation, Brittney Ruedlinger, Bani Hani Maisoun, Lucas Potter, Nicola Lai, Stephen J. Beebe Apr 2021

Cyclophilin D Is A Sensor Of Nano-Pulse Stimulation, Brittney Ruedlinger, Bani Hani Maisoun, Lucas Potter, Nicola Lai, Stephen J. Beebe

The Graduate School Posters

Nano-Pulse Stimulation (NPS), a pulsed power-derived technology, stimulates structural and functional changes in plasma membranes and cellular organelles. NPS induces a Ca2+ influx and opening of the mitochondrial permeability transition pore (mPTP) that dissipates the mitochondrial membrane potential (ΔΨm) and, when sustained, induces regulated cell death. Here we show that in rat cardiomyoblasts (H9C2) cyclophilin D (CypD) is a mitochondrial sensor for NPS as defined by observations that loss of ΔΨm is Ca2+ and mitochondrial reactive oxygen species (mROS) dependent and cyclosporin A (CsA)-sensitive, which are diagnostic qualities for effects on CypD and the mPTP. …


Nanopore Guided Regional Assembly, Eleni Adam, Desh Ranjan, Harold Riethman Apr 2021

Nanopore Guided Regional Assembly, Eleni Adam, Desh Ranjan, Harold Riethman

College of Sciences Posters

The telomeres are the “caps” of the chromosomes and their vital role is to protect them. Possible telomere dysfunction caused by telomere rearrangements can be fatal for the cell and result in age-related diseases, including cancer. The telomeres and subtelomeres are regions that are hard to investigate. The current technology cannot provide their complete sequence, instead the DNA is given in multiple pieces. Current methods of assembling the pieces of these regions are not accurate enough due to the region’s high variability and complex repeated patterns. We propose a hybrid assembly method, the NPGREAT, which utilizes two of the latest …


Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen Jan 2021

Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen

Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues

Adaptive task allocation is used in many human-machine systems and has been proven to improve operators’ monitoring and/or performance with automated systems. However, there is little knowledge surrounding the benefits of adaptive task allocation in automated vehicles. In this study, participants were presented with media depicting driving scenarios of both low and high workload at two levels of automation. The participants reported which tasks they felt comfortable allocating to themselves or to the automated system in each driving scenario, as well as whether they would conduct the task allocation manually or have the automated system automatically allocate the tasks. The …


Creating A Driving Workload Model And Identifying Best Practices, Josalin Kumm, Holly Handley, Yusuke Yamani Jan 2021

Creating A Driving Workload Model And Identifying Best Practices, Josalin Kumm, Holly Handley, Yusuke Yamani

Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues

One major way to investigate distracted driving is to have drivers engage in a secondary task. Driving models are one way to better understand workload during driving which could result in safer driving. During this study, we create a driving model using cognitive task analysis software to analyze workload with N-Back tasks. N-Back task requires the driver to memorize and repeat numbers and letters. The result will help us determine if we can continue using this software in future research and analysis workload in a scenario with secondary tasks by comparing it to other analysis software in the framework of …


Illuminator, Volume 3, Issue 9, Batten College Of Engineering & Technology, Old Dominion University May 2020

Illuminator, Volume 3, Issue 9, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

May 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Loading Orientation Dependence On The Compressive Response Of Ice-Templated Ceramic-Polymer Composites, Sashanka Akurati, Justine Marin, Dipankar Ghosh Apr 2020

Loading Orientation Dependence On The Compressive Response Of Ice-Templated Ceramic-Polymer Composites, Sashanka Akurati, Justine Marin, Dipankar Ghosh

College of Engineering & Technology (Batten) Posters

Natural materials are made from weak constituents, yet exhibit an excellent synergy of high stiffness, strength, and damage-tolerance. They consist of alternate layers of the hard and soft phases with a complex hierarchical structural organization. The ice-templating technique provides an approach to fabricate multilayered architectures for engineering applications. In this technique, an aqueous ceramic suspension is solidified unidirectionally leading to phase separation into alternating layers of ice-crystals and ceramic particles. Ice-crystals are sublimated by freeze-drying process and resultant ceramic foams are sintered to impart strength. The fabricated sintered ceramic foams contain alternate layers of oriented ceramic lamella walls and pores. …


Illuminator, Volume 3, Issue 8, Batten College Of Engineering & Technology, Old Dominion University Apr 2020

Illuminator, Volume 3, Issue 8, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

April 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Illuminator, Volume 3, Issue 7, Batten College Of Engineering & Technology, Old Dominion University Mar 2020

Illuminator, Volume 3, Issue 7, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

March 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Illuminator, Volume 3, Issue 6, Batten College Of Engineering & Technology, Old Dominion University Feb 2020

Illuminator, Volume 3, Issue 6, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

February 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.


Illuminator, Volume 3, Issue 5, Batten College Of Engineering & Technology, Old Dominion University Jan 2020

Illuminator, Volume 3, Issue 5, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

January 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.