Engineering Commons^™

The Effects Of Display Type, Weather Type, And Pilot Experience On Pilot Interpretation Of Weather Products, Jayde M. King, Beth Blickensderfer, Thomas A. Guinn, John L. Kleber, Thomas A. Guinn

Publications

The majority of general aviation (GA) accidents involving adverse weather result in fatalities. Considering the high weather-related fatality rate among GA flight operations, it is imperative to ensure that GA pilots of all experience levels can incorporate available weather information into their flight planning. In the past decade, weather product development has incorporated increasing levels of automation, which has led to the generation of high-resolution, model-based aviation displays such as graphical turbulence guidance and current icing potential, which rival the resolution of radar and satellite imagery. This is in stark contrast to the traditional polygonal-based displays of aviation weather hazards …

Understanding Fatigue Within A Collegiate Aviation Program, Flavio Mendonca, Julius Keller, Erik Levin, Aaron Teo

Publications

Objective: The purpose of this study was fivefold: to investigate the symptoms that would prompt collegiate aviation pilots perceive they are fatigued; to investigate the time of the day they are most fatigued; to investigate their academic and personal schedules; to investigate the methods collegiate aviation pilots utilize to ensure they are fit to fly; and to investigate whether they have received any academic and/or flight fatigue identification and management training.

Background: Fatigue is a pervasive safety hazard in aviation affecting several aspects of flight crew members’ ability to perform their job. Fatigue in aviation and its consequences has been …

Generation Of 3d Model Of Downtown Sullivan, Jim Speer

2020 Fall Reports (Sullivan)

The City of Sullivan identified the downtown area as an area for improvement and needed a way to depict areas. In ENVI 610, one graduate student was able to address the agreed upon goals of developing a 3D model of the downtown square. Some recommendations for future use of the 3D model were made for land-use planning, drainage systems, elevation, and more.

Time Series Data Analysis Using Machine Learning-(Ml) Approach, Mvv Prasad Kantipudi Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., Ss Anusha Vemuri Ms

Library Philosophy and Practice (e-journal)

Healthcare benefits related to continuous monitoring of human movement and physical activity can potentially reduce the risk of accidents associated with elderly living alone at home. Based on the literature review, it is found that many studies focus on human activity recognition and are still active towards achieving practical solutions to support the elderly care system. The proposed system has introduced a joint approach of machine learning and signal processing technology for the recognition of human's physical movements using signal data generated by accelerometer sensors. The framework adopts the concept of DSP to select very descriptive feature sets and uses …

Bibliometric Of Feature Selection Using Optimization Techniques In Healthcare Using Scopus And Web Of Science Databases, Rahul Joshi, Harita Gadikta, Saneeka Kharat, Soumi Mandal, Kalyani Kadam, Anupkumar M. Bongale Dr., Siddhant Pandit

Library Philosophy and Practice (e-journal)

Feature selection technique is an important step in the prediction and classification process, primarily in data mining related aspects or related to medical field. Feature selection is immersive with the errand of choosing a subset of applicable features that could be utilized in developing a prototype. Medical datasets are huge in size; hence some effective optimization techniques are required to produce accurate results. Optimization algorithms are a critical function in medical data mining particularly in identifying diseases since it offers excellent effectiveness in minimum computational expense and time. The classification algorithms also produce superior outcomes when an objective function is …

Diabetes Prediction Using Machine Learning : A Bibliometric Analysis, Vijayshri Nitin Khedkar, Sina Patel

Library Philosophy and Practice (e-journal)

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. …

A Bibliometric Analysis Of The Tea Quality Evaluation Using Artificial Intelligence, Amruta Bajirao Patil Research Scholar, Mrinal Rahul Bachute Ph.D Guide And Associate Professor

Library Philosophy and Practice (e-journal)

ABSTRACT: In this study, we have carried the bibliometric review of the “Tea quality evaluation using artificial intelligence”. Only the Scopus database is under consideration for this analysis. To coat all possible research approaches here we have generated the valid search queries which excludes irrelevant literature. The result analysis shows overall 602 useful papers are available on the tea quality evaluation out of which 12 papers are specifically on artificial taste perception of tea. This survey illustrates the emerging trend of quality evaluation and assurance (QEA) in tea industry and its importance. As the production of tea is huge, storage …

Theory, Design And Implementation Of Energy-Efficient Biotelemetry Using Ultrasound Imaging, Sri Harsha Kondapalli

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation investigates the fundamental limits of energy dissipation in establishing a communication link with implantable medical devices using ultrasound imaging-based biotelemetry.

Ultrasound imaging technology has undergone a revolution during the last decade due to two primary innovations: advances in ultrasonic transducers that can operate over a broad range of frequencies and progresses in high-speed, high-resolution analog-to-digital converters and signal processors. Existing clinical and FDA approved bench-top ultrasound systems cangenerate real-time high-resolution images at frame rates as high as 10000 frames per second. On the other end of the spectrum, portable and hand-held ultrasound systems can generate high-speed real-time scans, …

Effect Of Information Technology Capital: Technology Infrastructure, Database, Software, And Brainware Toward Optimize The Use Of Information Technology (Case Study : Uin Sunan Ampel Of Surabaya), Rismawati Br Sitepu, Ilham M.Said, Tanti Handriana, Praptini Yulianti

Library Philosophy and Practice (e-journal)

This research was conducted to determine the extent of the influence of technology infrastructure costs, software costs, database costs and brainware costs to increase the information technology budget of the Sunan Ampel State Islamic University in Surabaya and efficient use of the budget. The purpose of this study is to prove that there is a positive and significant influence of technology infrastructure costs, software costs, database costs and brainware costs to increase information technology budgets by using validity and reliability tests and classic tests such as the Normality test, Multicollinearity test, autocorrelation test, Heteroskedasticity test , and Linearity test. This …

Research Trend Of Metal Matrix Composites Reinforced With Silica Extracted By Green Route: A Bibliometric Analysis, Rinku Datkhile, Meena Laad, Babaji Ghule

Library Philosophy and Practice (e-journal)

Metal Matrix Composites have acquired an important place in the engineering applications due to their distinctive characteristics such as high specific strength, lower specific gravity, improved material stiffness, better durability, enhanced creep and fatigue strength etc. Worldwide scientists are working on the improvement of mechanical properties of composite materials. The present work attempts to summarise all the research carried out on metal matrix composites reinforced with silica extracted by green route and provides up-to-date research material for researchers who are interested in the field of composites with metal matrices. Scopus databases and software such as Gephi Vos Viewer and Table2Net …

Festigkeitsbeschreibung Des Schwerbetons Auf Alkalischlacken – Bindemittel, A Tulaganov, S Hodjaev, A Sultanov, B Tulaganov, B Otakulov, N Hodjaev, D Abdasov

The Scientific-Practice Journal of Architecture, Construction and Design

The article describes the laws of describing the strength of heavy concrete based on non-calcined alkaline binders. It is shown that strength is written as a function of the generalized argument.

Why Unsafety Has A Negative Relationship With Economic Effectiveness In The World?, Aziz Zikriyoev

The Scientific-Practice Journal of Architecture, Construction and Design

Due to regularly registered diseases and major accidents of workers in the construction industry can be explained expandable building projects and state programs for supporting population. The main purpose of the current paperwork is to explain wining unsafety at workplaces both theoretical and practical points of view generated with economic and social levels.

Optimization Of A Customized Leadership Development Program Upskilling English Language Fluency In Brazil Aviation Leaders, Robin A. Roberts

Publications

Objective: The present study explored how a customized leadership development program (LDP) with coursework taught in English to non-native English speakers could optimize English language fluency in Brazil airline leaders.

Background: Currently, problems exist with a myriad of native language accents and phraseology interfering with cognitive reflexes especially for aircrews and air traffic controllers to safely do their work. Executives from four Brazilian airlines proactively implemented a 14-month LDP focused on English language fluency and leadership enhancements collectively for leaders within their firms.

Method: Blended learning as proposed by the International Civil Aviation Organization provided the experiential …

A Literature Survey And Bibliometric Analysis Of Application Of Artificial Intelligence Techniques On Wireless Mesh Networks, Smita R. Mahajan Mrs., Harikrishnan R Dr., Ketan Kotecha Dr.

Library Philosophy and Practice (e-journal)

Recent years have seen a surge in the use of technology for executing transactions in both online and offline modes. Various industries like banking, e-commerce, and private organizations use networks for the exchange of confidential information and resources. Network security is thus of utmost importance, with the expectation of effective and efficient analysis of the network traffic. Wireless Mesh Networks are effective in communicating information over a vast span with minimal costs. A network is evaluated based on its security, accessibility, and extent of interoperability. Artificial Intelligence techniques like machine learning and deep learning have found widespread use to solve …

Viability And Application Of Mounting Personal Pid Voc Sensors To Small Unmanned Aircraft Systems, Cheryl Lynn Marcham, Scott Burgess, Joseph Cerreta, Patti J. Clark, James P. Solti, Brandon Breault, Joshua G. Marcham

Publications

Using a UAS-mounted sensor to allow for a rapid response to areas that may be difficult to reach or potentially dangerous to human health can increase the situational awareness of first responders of an aircraft crash site through the remote detection, identification, and quantification of airborne hazardous materials. The primary purpose of this research was to evaluate the remote sensing viability and application of integrating existing commercial-off-the-shelf (COTS) sensors with small unmanned aircraft system (UAS) technology to detect potentially hazardous airborne contaminants in emergency leak or spill response situations. By mounting the personal photoionization detector (PID) with volatile organic compound …

Exposing Nuclear Power Plants, Sophia Austin

Copley Library Undergraduate Research Awards

This paper will begin by outlining the eco-justice topic of nuclear power and its resulting nuclear waste, and then move on to examining and making claims about the justice (distributive, procedural, and recognition-based), evidence, and process behind the development and decommissioning of these plants. Through this, we will discover historical and present ties to racism - especially as we explore the relationship between nuclear power and the white racial frame, resulting in the objectification, oppression, and suppression of the voices of Indigenous communities and people of color throughout history and into the present moment. After addressing and reflecting on many …

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 …

Mechanisms Of Sensory Adaptation In The Primate Visual System, Boris Isaac Peñaloza Rojas

Electronic Theses and Dissertations

Under ecological conditions, the luminance impinging on the retina varies within a dynamic range of 220 dB. Stimulus contrast can also vary drastically within a scene, and eye movements leave little time for sampling luminance. In addition, the amount of information reaching our visual system far exceeds the brain’s information processing capacity. Given the limited dynamic range of its neurons and its limited capacity in processing visual information in real-time, the brain deploys both structural and functional solutions that work in tandem to adapt to the surroundings. In this work, employing visual psychophysics and computational neuroscience, we study the mechanisms …

Big Data Analysis Of Nanoscience Bibliometrics, Patent, And Funding Data (2000-2019), Yuliang Zhao, Zhixiang Wei, Qing Dai, Hongwei Dong, Hongjun Xiao, Shuxian Wu, Xingxing He, Beverley Mitchell, Thomas A. Collins, Sarah Huggett, John Van Orden, Christiane Barranguet, Basak Candemir

Public Reports

Given the strategic significance of Nanoscience and nanotechnology, it is essential to evaluate and predict its developmental trends. This report is based on the largest abstract and citation database of peer-reviewed literature, Elsevier's Scopus, along with the research evaluation platform SciVal. The funding and patent analysis data for the report is from Funding Institutional and PatentSight, respectively. This report provides an evaluation of Nanoscience's scientific output, role, contribution, and impact through bibliometric analysis, combined with big data indicators of Nanoscience scientific results and patents from 2000 to 2019.

Shopping For An Ir: The Search, Adoption, And Implementation Of The University Of Louisiana At Lafayette’S Institutional Repository Platform, Zachary G. Stein

Faculty Scholarship

Institutions wishing to disseminate their scholarship on a wide scale have influenced the need for institutional repositories (IR). These repositories provide institutions the opportunity to display and preserve what they have to offer in an open access environment. The University of Louisiana at Lafayette (UL Lafayette) had attempted to adopt an IR for years and finally achieved this goal. Many issues impacted the adoption, including funding, deciding on the appropriate platform solutions, and marketing the need for contributions from faculty and university administration. There is much optimism for the IR, as it is also included in the university’s Quality Enhancement …

Tolle Lege Works Published In 2021, Mcquade Library

Bibliographies

Compiled Tolle Lege bibliography of works published by members of the Merrimack College Community in 2021. Works include journal articles, books, book chapters, conference presentations and posters, and more.

2020-2021 Annual Security And Fire Report - Weatherford Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2020-2021 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.

A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali

Department of Anthropology: Faculty Publications

Airborne light detection and ranging (LIDAR) systems allow archaeologists to capture 3D data of anthropogenic landscapes with a level of precision that permits the identification of archaeological sites in difficult to reach and inaccessible regions. These benefits have come with a deluge of LIDAR data that requires significant and costly manual labor to interpret and analyze. In order to address this challenge, researchers have explored the use of state-of-the-art automated object recognition algorithms from the field of deep learning with success. This previous research, however, has been limited to the exploration of deep learning processes that work with only 2D …

Impacts Of The Pandemic In Metropolitan Nebraska: 2021 Nebraska Metro Poll Results, Rebecca J. Vogt, Heather Akin, Cheryl A. Burkhart-Kriesel, Bradley Lubben, L. J. Mcelravy, Timothy Meyer, Steven A. Schulz

Rural Futures Institute: Publications

Most metropolitan Nebraskans felt various impacts from the pandemic. While many metropolitan Nebraskans had someone in their household that quarantined because of possible coronavirus exposure or who contracted COVID-19, most have friends or family in their community that quarantined or contracted the virus. Many metropolitan Nebraskans also have friends or family both inside and outside their community who were hospitalized as a result of COVID-19.

Most metropolitan Nebraskans say the following were affected a fair amount or a great deal by the pandemic: their socialization with others, their life overall, their company/ workplace and their mental health. Conversely, most rural …

Trust In Media, Institutions, And Health Information In Metropolitan Nebraska: 2021 Nebraska Metro Poll Results, Rebecca J. Vogt, Heather Akin, Cheryl A. Burkhart-Kriesel, Bradley Lubben, L. J. Mcelravy, Timothy Meyer, Steven A. Schulz

Rural Futures Institute: Publications

Overall, most metropolitan Nebraskans have confidence in their local institutions (public safety agencies in their community, public schools in their community, and voting and election systems in their county). However, many have very little confidence in many national institutions (the U.S. Senate, the U.S. House of Representatives and the Presidency) as well as the Governor.

Metropolitan Nebraskans most trust information received from friends/family/ acquaintances, local news sources (TV and newspapers), public sources (PBS and public radio) and state newspapers. They least trust information from social networking sites, Internet blogs, and Fox News.

Most metropolitan Nebraskans trust local health professionals for …

The Technology Transfer Network Dynamic In The Information Technology Industry Of Yucatan, Mexico, Francisco Cima, Pilar Pazos, Ana Maria Canto

Engineering Management & Systems Engineering Faculty Publications

The present paper explores the technology transfer linkages among universities, research centers, and private companies in Yucatan, Mexico's information technology industry. Social network analysis (SNA) was used as a method to identify the structural characteristics of the technology transfer collaborations, and the changes in the patterns of interactions among institutions over the years. Data were obtained from the National Council for Science and Technology repository (CONACYT). Associations formed to enhance technology advancement and innovation practices between 2010 and 2018 were analyzed in this study. Network transitivity, the patterns of triadic configurations, and heterophily were compared to uncover the evolution of …

Interactive Agent-Based Simulation For Experimentation: A Case Study With Cooperatve Game Theory, Andrew J. Collins, Sheida Etemadidavan

Engineering Management & Systems Engineering Faculty Publications

Incorporating human behavior is a current challenge for agent-based modeling and simulation (ABMS). Human behavior includes many different aspects depending on the scenario considered. The scenario context of this paper is strategic coalition formation, which is traditionally modeled using cooperative game theory, but we use ABMS instead; as such, it needs to be validated. One approach to validation is to compare the recorded behavior of humans to what was observed in our simulation. We suggest that using an interactive simulation is a good approach to collecting the necessary human behavior data because the humans would be playing in precisely the …

Aviation Human-In-The-Loop Simulation: Best Practices For Subjective Performance Measurement, John Kleber, Beth Blickensderfer

Aviation Weather Training Research

Subjective performance measurements are a useful tool for researchers and instructors to evaluate tasks that are difficult to quantify with objective data pulled from a simulator or the physiological data of pilots. Subjective performance measurements are non-intrusive measures typically conducted by human raters. Some recommendations for utilizing subjective measures include reducing the workload of the human raters, concealing the aim of the experiment from participants, utilizing multiple raters to evaluate each participant, providing raters with proper training, developing error-resistant rater forms and, including both subjective and objective measures when possible.

A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The disaster area is a true dynamic environment. Lack of accurate information from the affected area create several challenges in distributing the supplies. The success of a disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a trust-based dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts in a distributed technological ecosystem. This study aims to analyze the application …

Orientation And Social Influences Matter: Revisiting Neutralization Tendencies In Information Systems Security Violation, Frank Curtis King

CCAC Theses and Dissertations

It is estimated that over half of all information systems security breaches are due directly or indirectly to the poor security practices of an organization’s employees. Previous research has shown neutralization techniques as having influence on the intent to violate information security policy. In this study, we proposed an expansion of the neutralization model by including the effects of business and ethical orientation of individuals on their tendencies to neutralize and compromise with information security policy. Additionally, constructs from social influences and pressures have been integrated into this model to measure the impact on the intent to violate information security …