2020 (Fall) Ensi Informer Magazine,
2020
Morehead State University
2020 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
ENSI Informer Magazine Archive
The ENSI Informer Magazine published in the fall of 2020.
Enterprise Architecture Transformation Process From A Federal Government Perspective,
2020
Embry-Riddle Aeronautical University
Enterprise Architecture Transformation Process From A Federal Government Perspective, Tonia Canada, Leila Halawi
Publications
The need for information technology organizations to transform enterprise architecture is driven by federal government mandates and information technology budget constraints. This qualitative case study aimed to identify factors that hinder federal government agencies from driving enterprise architecture transformation processes from a compliancy to a flexible process. Common themes in interviewee responses were identified, coded, and summarized. Critical recommendations for future best practices, including further research, were also presented.
Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data,
2020
University of South Carolina - Columbia
Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
Publications
The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography, population distribution, and effectiveness in implementation. Consequently, some nations (e.g., Taiwan, Haiti) have been more successful than others (e.g., United States) in curbing the outbreak. A data-driven investigation into effective public health policies of a country would allow public health experts in other nations to decide future courses of action to control the outbreaks of disease and epidemics. We chose Spain and India to present our analysis …
Extending The Functional Subnetwork Approach To A Generalized Linear Integrate-And-Fire Neuron Model,
2020
West Virginia University
Extending The Functional Subnetwork Approach To A Generalized Linear Integrate-And-Fire Neuron Model, Nicholas Szczecinski, Roger Quinn, Alexander J. Hunt
Mechanical and Materials Engineering Faculty Publications and Presentations
Engineering neural networks to perform specific tasks often represents a monumental challenge in determining network architecture and parameter values. In this work, we extend our previously-developed method for tuning networks of non-spiking neurons, the “Functional subnetwork approach” (FSA), to the tuning of networks composed of spiking neurons. This extension enables the direct assembly and tuning of networks of spiking neurons and synapses based on the network’s intended function, without the use of global optimization ormachine learning. To extend the FSA, we show that the dynamics of a generalized linear integrate and fire (GLIF) neuronmodel have fundamental similarities to those of …
An Accurate Vegetation And Non-Vegetation Differentiation Approach Based On Land Cover Classification,
2020
Old Dominion University
An Accurate Vegetation And Non-Vegetation Differentiation Approach Based On Land Cover Classification, Chiman Kwan, David Gribben, Bulent Ayhan, Jiang Li, Sergio Bernabe, Antonio Plaza
Electrical & Computer Engineering Faculty Publications
Accurate vegetation detection is important for many applications, such as crop yield estimation, landcover land use monitoring, urban growth monitoring, drought monitoring, etc. Popular conventional approaches to vegetation detection incorporate the normalized difference vegetation index (NDVI), which uses the red and near infrared (NIR) bands, and enhanced vegetation index (EVI), which uses red, NIR, and the blue bands. Although NDVI and EVI are efficient, their accuracies still have room for further improvement. In this paper, we propose a new approach to vegetation detection based on land cover classification. That is, we first perform an accurate classification of 15 or more …
Edge Computing For Deep Learning-Based Distributed Real-Time Object Detection On Iot Constrained Platforms At Low Frame Rate,
2020
University of South Florida
Edge Computing For Deep Learning-Based Distributed Real-Time Object Detection On Iot Constrained Platforms At Low Frame Rate, Lakshmikavya Kalyanam
USF Tampa Graduate Theses and Dissertations
In the era of IoT (Internet of Things) and edge computing, there is a rising need for real-time applications in the domain of computer vision. The increase in hardware computing capabilities gave rise to applications of neural networks in various fields. Implementing IoT with neural networks in domains such as image and video recognition has shown promising performance when deployed in complex environments. There is an emerging demand for applications that require data computation in real-time with low latency. In an effort to address these issues, while keeping in mind the computing capabilities of IoT devices, we seek to develop …
Roboat - Rescue Operations Bot Operating In All Terrains,
2020
University of South Florida
Roboat - Rescue Operations Bot Operating In All Terrains, Akshay Gulhane
USF Tampa Graduate Theses and Dissertations
Natural calamities are on a rise with each passing year. Disasters like floods and fire take many lives all around the world, especially in remote areas or less developed countries. One such incident was the Kerala Floods in India where rescue services had difficulty reaching to all the people on time since a huge landmass (more than 9 districts) was flooded and hence villagers or other people risked their lives to save others in danger without proper safety equipment. Amazon Rainforest Fires was another example for a major destruction of an ecosystem. The main reason for lack of facilities in …
Control Of A Human Arm Robotic Unit Using Augmented Reality And Optimized Kinematics,
2020
University of South Florida
Control Of A Human Arm Robotic Unit Using Augmented Reality And Optimized Kinematics, Carlo Canezo
USF Tampa Graduate Theses and Dissertations
There are more than 350000 amputees in the US who suffer loss of functionality in their daily living activities, and roughly 100000 of them are upper arm amputees. Many of these amputees use prostheses to compensate part of their lost arm function, including power prostheses. Research on 6-7 degree of freedom powered prostheses is still relatively new, and most commercially available powered prostheses are typically limited to 1 to 3 degrees of freedom. Due to the myriad of possible options for various powered protheses from different manufacturers, each configuration is governed by a distinct control scheme typically specific to the …
Epics Urban Farming: Bringing Sustainable Fresh Food To Gary, Indiana,
2020
Purdue University
Epics Urban Farming: Bringing Sustainable Fresh Food To Gary, Indiana, Elijah Klein
Purdue Journal of Service-Learning and International Engagement
EPICS Urban Farming is a team of seventeen undergraduate students designing and implementing an aquaponics and food distribution system in Gary, Indiana. With the area being a food desert, most people turn to corner stores for food that is easily accessible and cheap but unhealthy. From this diet, there are quite a few widespread health concerns that the population of Gary, Indiana, faces daily. For example, obesity, diabetes, and heart conditions are some of the most common diseases that plague the community. Urban Farming is working to aid in combating these issues with the partnership of Pastor Marty Henderson, who …
Resource Discovery In A Changing Content World,
2020
The New School
Resource Discovery In A Changing Content World, Allen Jones, Cynthia R. Schwarz, Hannah Mckelvey, Rachelle Mclain, Christine Stohn
Charleston Library Conference
Discovery services have evolved to include not just books and articles, but databases, website content, research guides, digital and audiovisual collections, and unique local collections that are all important for their users to be able to find. Search and ranking remain at the core of discovery, but advanced tools such as recommendation, virtual browse, ‘look inside‘, and the use of artificial intelligence are also becoming more prevalent. This group of panelists discussed how content in their discovery systems can change based on the context of the user, using as examples Primo and Blacklight, and how content is populated, discovered and …
Hateproofing Your Message: Response And Prevention Strategies For "Hatejacks",
2020
Montclair State University
Hateproofing Your Message: Response And Prevention Strategies For "Hatejacks", Bond Benton, Daniela Peterka-Benton
Department of Justice Studies Faculty Scholarship and Creative Works
No abstract provided.
Research Experience For Undergraduates During Covid-19,
2020
Embry-Riddle Aeronautical University
Research Experience For Undergraduates During Covid-19, Mustafa Akbas
Florida Statewide Symposium: Best Practices in Undergraduate Research
This presentation provides the student team interaction and mentorship experience at Embry-Riddle Aeronautical University’s “National Science Foundation (NSF) Research Experiences for Undergraduates (REU) Site: Cybersecurity Research of Unmanned Aerial Vehicles” from the summer semester of 2020. The Site had been planned for a face-of-face research experience under several mentors for an eight-week period. However, due to Covid-19, the teams had to meet, discuss, present and work online, which was both a challenge and an opportunity. Both students and mentors had lessons from this online experience that they will remember and use in the upcoming years. In this presentation, we present …
Optimizing The Performance Of Multi-Threaded Linear Algebra Libraries Based On Task Granularity,
2020
Louisiana State University
Optimizing The Performance Of Multi-Threaded Linear Algebra Libraries Based On Task Granularity, Shahrzad Shirzad
LSU Doctoral Dissertations
Linear algebra libraries play a very important role in many HPC applications. As larger datasets are created everyday, it also becomes crucial for the multi-threaded linear algebra libraries to utilize the compute resources properly. Moving toward exascale computing, the current programming models would not be able to fully take advantage of the advances in memory hierarchies, computer architectures, and networks. Asynchronous Many-Task(AMT) Runtime systems would be the solution to help the developers to manage the available parallelism. In this Dissertation we propose an adaptive solution to improve the performance of a linear algebra library based on a set of compile-time …
On Correctness, Precision, And Performance In Quantitative Verification: Qcomp 2020 Competition Report,
2020
University of Twente
On Correctness, Precision, And Performance In Quantitative Verification: Qcomp 2020 Competition Report, Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Křetínský, David Parker, Tim Quatmann, Andrea Turrini, Zhen Zhang
Electrical and Computer Engineering Faculty Publications
Quantitative verification tools compute probabilities, expected rewards, or steady-state values for formal models of stochastic and timed systems. Exact results often cannot be obtained efficiently, so most tools use floating-point arithmetic in iterative algorithms that approximate the quantity of interest. Correctness is thus defined by the desired precision and determines performance. In this paper, we report on the experimental evaluation of these trade-offs performed in QComp 2020: the second friendly competition of tools for the analysis of quantitative formal models. We survey the precision guarantees - ranging from exact rational results to statistical confidence statements - offered by the nine …
Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty,
2020
Embry-Riddle Aeronautical University
Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu
Publications
A sliding mode observer is presented, which is rigorously proven to achieve finite-time state estimation of a dual-parallel underactuated (i.e., single-input multi-output) cart inverted pendulum system in the presence of parametric uncertainty. A salient feature of the proposed sliding mode observer design is that a rigorous analysis is provided, which proves finite-time estimation of the complete system state in the presence of input-multiplicative parametric uncertainty. The performance of the proposed observer design is demonstrated through numerical case studies using both sliding mode control (SMC)- and linear quadratic regulator (LQR)-based closed-loop control systems. The main contribution presented here is the rigorous …
Investigating Factors Predicting Effective Learning In A Cs Professional Development Program For K–12 Teachers,
2020
University of Nebraska-Lincoln
Investigating Factors Predicting Effective Learning In A Cs Professional Development Program For K–12 Teachers, Patrick Morrow
School of Computing: Dissertations, Theses, and Student Research
The demand for K-12 Computer Science (CS) education is growing and there is not an adequate number of educators to match the demand. Comprehensive research was carried out to investigate and understand the influence of a summer two-week professional development (PD) program on teachers’ CS content and pedagogical knowledge, their confidence in such knowledge, their interest in and perceived value of CS, and the factors influencing such impacts. Two courses designed to train K-12 teachers to teach CS, focusing on both concepts and pedagogy skills were taught over two separate summers to two separate cohorts of teachers. Statistical and SWOT …
Challenges To Adopting Hybrid Methodology: Addressing Organizational Culture And Change Control Problems In Enterprise It Infrastructure Projects,
2020
Harrisburg University of Science and Technology
Challenges To Adopting Hybrid Methodology: Addressing Organizational Culture And Change Control Problems In Enterprise It Infrastructure Projects, Harishankar Krishnakumar
Dissertations and Theses
IT infrastructure projects have long been an overlooked field superseded by the more popular software development silos and cross-functional project teams when it comes to enterprise Agile transformations. This paper presents a systematic literature review by leveraging a qualitative research methodology based on empirical evidence provided in contemporary scholarly research articles to explore how certain variables such as organizational culture- including team structure, leadership hierarchy, geolocation, etc. along with an organization’s change management processes affect the adoption of a Hybrid/Agile project management methodology, focusing on reported challenges and critical success factors that define such large-scale enterprise transformations. The salient features …
Content Modelling For Unbiased Information Analysis,
2020
Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
Content Modelling For Unbiased Information Analysis, Milind Gayakwad, Suhas Patil Dr
Library Philosophy and Practice (e-journal)
Content is the form through which the information is conveyed as per the requirement of user. A volume of content is huge and expected to grow exponentially hence classification of useful data and not useful data is a very tedious task. Interface between content and user is Search engine. Therefore, the contents are designed considering search engine's perspective. Content designed by the organization, utilizes user’s data for promoting their products and services. This is done mostly using inorganic ways utilized to influence the quality measures of a content, this may mislead the information. There is no correct mechanism available to …
Bibliometric Survey On Biometric Iris Liveness Detection,
2020
Symbiosis Institute of Technology, Symbiosis International (Deemed University),Pune, India.Email: [email protected]..
Bibliometric Survey On Biometric Iris Liveness Detection, Smita Khade, Dr.Swati Ahirrao, Dr. Sudeep Thepade
Library Philosophy and Practice (e-journal)
Authentication is an essential step for giving access to resources to authorized individuals and prevent leakage of confidential information. The traditional authentication systems like a pin, card, a password could not differentiate among the authorized users and fakers who have an illegal access to the system. Traditional authentication technique never alerts about the unwanted access to the system. The device that allows the automatic identification of an individual is known as a biometric system. It is not required to remember a password, card, and pin code in the Bio-metric system. Numerous biometric characteristics like the fingerprint, iris, palm print, face …
3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis,
2020
University of Calcutta
3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis, Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, Alok Pandit
Journal Articles
Magnetic resonance imaging (MRI) is a very effective method for identifying any abnormality in the structure and physiology of the spine. However, MRI is time consuming as well as costly. In this work, the authors propose an algorithm which can reduce the time of MRI and thus the cost, with minimal compromise on accuracy. They reconstruct a three-dimensional (3D) image of the spine from a sequence of 2D MRI slices along any one axis with reasonable slice gap. In order to preserve the image at the edges properly, they regenerate the 3D image by using a combination of bicubic and …
