Engineering Commons^™

Machine Learning Techniques For Stock Price Prediction And Graphic Signal Recognition, Junde Chen, Yuxin Wen, Y. A. Nanehkaran, M. D. Suzauddola, Weirong Chen, Defu Zhang

Engineering Faculty Articles and Research

Stock market analysis is extremely important for investors because knowing the future trend and grasping the changing characteristics of stock prices will decrease the risk of investing capital for profit. Thereupon, the prediction of stock prices and identifying the graphic signals of candlestick charts, which are two crucial tasks in stock price analysis, attract much attention from investors owing to the returns and risks that coexist in financial markets. To introduce a reliable approach for addressing these challenges, this paper proposes the modeling strategies based on machine learning (ML) techniques. A vector autoregression (VAR)-based rolling prediction model is proposed for …

The U.S. Army Officer-To-Unit Assignment Problem, Andrea L. Phillips

Theses and Dissertations

Every two to three years, U.S. Army officers must change duty stations, which entails a selection process based on preferences. Currently, officers are assigned to units using a stable-marriage algorithm. Two impracticalities occur within this process. First, officers are required to submit strictly ranked preferences, not allowing indifference among units. Second, the stable-marriage algorithm does not give flexibility to alternative priorities. This research focuses on two modifications to the current model. First, a mixed integer program is created that allows the user, U.S. Army Human Resources Command, to consider other priorities: unit preferences and maximum officer disappointment. Second, generated data …

The Santa Clara, 2023-02-17, Santa Clara University

The Santa Clara

No abstract provided.

Mathematical Modeling Of Microscale Biology: Ion Pairing, Spatially Varying Permittivity, And Born Energy In Glycosaminoglycan Brushes, William J. Ceely, Marina Chugunova, Ali Nadim, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Biological macromolecules including nucleic acids, proteins, and glycosaminoglycans are typically anionic and can span domains of up to hundreds of nanometers and even micron length scales. The structures exist in crowded environments that are dominated by multivalent electrostatic interactions that can be modeled using mean-field continuum approaches that represent underlying molecular nanoscale biophysics. We develop such models for glycosaminoglycan brushes using steady state modified Poisson-Boltzmann models that incorporate important ion-specific (Hofmeister) effects. The results quantify how electroneutrality is attained through ion electrophoresis, spatially varying permittivity hydration forces, and ion-specific pairing. Brush-salt interfacial profiles of the electrostatic potential as well as …

Salt Doping Of Hyaluronic Acid Glycopolymer Biocondensates, James D. Sterling, Lu Fu, Kenisha Pudun, Shenda Baker, Megan Lord, Henry E. Riggs

Business and Information Technology Faculty Research & Creative Works

Biocondensates are largely studied with regard to intracellular components, while recognition of the formation of extracellular biocondensates are emerging, such as for cell surface heparan sulfate binding with basic fibroblast growth factor. This study analyzed the formation of biocondensates in vitro between the ubiquitous extracellular component, hyaluronan an anionic glycosaminoglycan, and cationic derivitized polyglucosamines known to bind to mucosal interfaces. The effect of molecular weight and net charge ratio was studied using a combination of microscopy, turbidity, laser diffraction particle sizing and zeta potential measurements. These analyses revealed that molecular weight affected the ability to form biocondensates while the surface …

The Impact Of Organized Activism On Technology Sharing, Ahmed Chennak, Amalia Yiannaka

Cornhusker Economics

What factors influence a firm's decision to share its technology with competitors? While patent licensing has received considerable attention in the literature, studies have typically focused on the optimal licensing contract for product and process innovations in various market settings. A key finding of this literature is that the optimal licensing strategy depends on the type of the patentee; that is, whether the patentee is a producer in the market (insider patentee) or not (outsider patentee). Little attention has been given, however, to the role the general public can play on firms' incentives to share their innovations through licensing contracts …

Change Fatigue In Aviation Maintenance Through A Human Factors Lens, Stephanie Douglas, Bettina Mrusek

National Training Aircraft Symposium (NTAS)

Aviation is a demanding and fast-paced industry and it is not uncommon for aviation professionals, including maintainers, to experience rapid disruption and organizational change. Fatigue in aviation professionals is a known risk. Fatigue risk management systems (FRMS) seek to mitigate this risk by focusing on tiredness resulting from long work hours and lack of quality sleep. Recently, change fatigue has also risen to the forefront of business and employee studies. In many of today’s industries, change is constant as firms implement changes either to address disruptions, business growth or to follow trends in the industry. Frequent changes in an organization …

Development Of A Safety Performance Decision-Making Tool For Flight Training Organizations, Marisa D. Aguiar Phd, Carolina L. Anderson Phd

National Training Aircraft Symposium (NTAS)

The purpose of the research was to create and validate a safety performance decision-making tool to transform a reactive safety model into a predictive, decision-making tool, specific to large, collegiate Title 14 of the Code of Federal Regulations (CFR) Part 141 flight training organizations, to increase safety and aid in operational decision-making. Using Monte Carlo simulation, the study conducted simulation runs based on true operational ranges to simulate the operating conditions possible within large, collegiate CFR Part 141 flight training organizations with varying levels of controllable resources in terms of personnel (Aviation Maintenance Technicians and Instructor Pilots) and expenditures (active …

Neutralization Of Fuel Tankering Emissions For Environmental Sustainability, Peter O'Reilly, Maria Petrescu, Fabricio Sulzbacher, Diogo Coutinho

National Training Aircraft Symposium (NTAS)

As aviation has been one of the fastest-growing sources of emissions, this paper explores sustainable solutions in the equation of the economic savings from the fuel tankering practice, in a way it could represent gains of credibility for this industry (Boussauw & Vanoutrive, 2019). The fuel expenses in Brazil have been responsible for the highest operational cost for the airlines and, as a result, there has been an ongoing pursuit of the highest level of efficiency (ANAC, 2019). In this context, this study has been focused on the emerging Brazilian aviation market, and uses primary data collected from three major …

Intro To Primary Sources, Katie Strand, Jen Kirk, Dan Davis, Lara Petersen

All E-Learning Resources

Attention: As of 2026 updated versions of this item will no longer be available on Digital Commons. Please contact [email protected] for more information.

The Identifying Primary Sources tutorial teaches students how they find, evaluate, and use primary sources in their own research. Along the way, they'll learn about some great places to start researching when looking for primary sources.

Role Of Social Network On Technology Adoption: Application To Nebraska Producers In The Face Of Undesirable Vegetation Transitions, Sabrina Gulab, Holly K. Nesbitt, Simanti Banerjee, Theresa Floyd, Karina A. Schoengold

Cornhusker Economics

Conclusion

Producers need to have access to information regarding new conservation practices and technologies to ensure land management in the face of ecological threats in general and vegetation transitions (VTs) in the context of our study. This study investigates the role of an individual producer's social network on the willingness to seek information about technologies and management practices and the likelihood of new technology adoption with special attention to risk attitudes and producer spillover effects. Our results provide evidence that network composition and information obtained through a producer's social network don't influence an individual's willingness to seek information about new …

Reducing False Starts Among It Employees—A Study Of Hiring Professionals’ Perceptions, Swatee B. Kulkarni

Master's Theses and Doctoral Dissertations

One of the biggest challenges facing organizations is recruiting and retaining talented employees. A false start is an issue where an employee is hired for a certain position following the organization’s recruiting process; however, within the first year, the employee or the employer realizes that it is not a right fit, and the employment is terminated. The unexpected loss of employees is recognized as a global issue that affects overall business performance regardless of industry. The economic impact of false starts is estimated to be $1.28 billion per year according to the Bureau of Labor Statistics (BLS). This study examines …

Tolle Lege Works Published In 2023, Mcquade Library

Bibliographies

Compiled Tolle Lege bibliography of works published by members of the Merrimack College Community in 2023. Works include journal articles, books, book chapters, conference presentations and posters, and more.

Winona State University News Blog: 2015-February 2023, Winona State University

Winona State University Blogs

This PDF document includes Winona State University (WSU) News Blog articles and entries for the university from 2015-May 2023.

The Future Of Enterprise Information Systems, Ali Sunyaev, Tobias Dehling, Susanne Strahringer, Li Da Xu, Martin Heinig, Michael Perscheid, Rainer Alt, Matti Rossi

Information Technology & Decision Sciences Faculty Publications

[First paragraph] Enterprise information systems (EIS) have been important enablers of crossfunctional processes within businesses since the 1990s. Often referred to as enterprise resource planning (ERP) systems, they were extended in line with electronic businesses to integrate with suppliers as well as customers. Today, EIS architectures comprise not only ERP, supply chain, and customer relationship management systems, but also business intelligence and analytics. Recently, the move towards decentralized technologies has created new perspectives for EIS. Information systems (IS) research has already addressed opportunities and challenges of these developments quite well, but what will be the pressing opportunities and challenges for …

Nonprofit Business And Management Challenges Encountered When Delivering Services And Fulfilling Organizational Missions, Becky A. Hammer

Walden Dissertations and Doctoral Studies

Failure of nonprofit organizations (NPOs) causes negative impacts to community service users and the NPO workforce. Although the impact of NPO failure has been researched, a comprehensive understanding of business and organizational challenges from the NPO leaders’ perspective was not well documented. Learning more about these challenges may assist with understanding how to best support and solve them. The purpose of this qualitative single case study was to explore the business and management-related barriers and challenges NPO leaders encounter when delivering services and fulfilling organizational missions in the Greater Austin Metropolitan Statistical Area in Texas. The conceptual model included the …

Strategies To Increase Competitive Advantage In The Automotive Manufacturing Supply Chain, Amber Willis

Walden Dissertations and Doctoral Studies

Some automotive manufacturing supply chain leaders lack strategies that are needed to implement information technology (IT) systems. Business leaders are concerned with implementing IT systems to achieve and maintain a competitive advantage. Grounded in the resource-based view theory (RBV), the purpose of this qualitative single case study was to explore information system strategies used by leaders in the automotive manufacturing supply chain to achieve competitive advantage. Participants were five leaders of an automotive manufacturing supply chain organization who implemented IT systems. Data were collected through semistructured interviews and a review of organization project documents. Through thematic analysis, five themes were …

Automation, Ai, And Future Skills Needs: An Irish Perspective, Raimunda Bukartaite, Daire Hooper

Articles

This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI) and technology. The study also seeks to understand what human resource policies and educational interventions are needed to support and take advantage of these changes.

Operationalizing A Culture For Successful Lean Transformations: A Framework And Model-Based Tools, Amir Najarzadeh Dr.

Theses and Dissertations--Manufacturing Systems Engineering

Lean manufacturing has been embraced by many companies as a business model to promote operational excellence. However, a high percentage of lean implementation attempts have failed; many organizations have not been able to sustain continuous improvements to achieve lean transformations. This failure is often attributed to the sole focus on the hard-side (tools) of lean, at the expense of the soft side (culture). The majority of research exploring the cultural dimensions of lean either aims to increase awareness about culture or addresses it only in a cursory manner. To bridge this gap this study aims to identify and assess the …

Swosu Research And Scholarly Activity Fair 2023, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) - Welcome to the Thirtieth SWOSU Research and Scholarly Activity Fair! There are 77poster presentations and 2 oral presentations involving over 130 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors encompassing activities from the SWOSU College of Pharmacy; SWOSU School of Nursing & Allied Health Sciences; and SWOSU Departments of Allied Health Sciences; Art, Communication & Theatre; Biological Sciences; Business; Computer Science; Chemistry & Physics; Engineering Technology; Language & Literature; …

Creating Portfolio Management Concepts For Highly Agile And Innovative Government Research Programs Using Design Thinking And Learn Start Up Methodologies, Vanessa Aubuchon, Resit Unal, Pilar Pazos, Holly Handley, Cindy Daniels

Engineering Management & Systems Engineering Faculty Publications

Managing a research and development (R&D) portfolio presents numerous challenges, such as prioritizing research areas, remaining agile, strategic workforce planning, and measuring return on investment, impact, and innovation. One government R&D program is charged with producing a high degree of innovative, transformational breakthroughs in aviation technology. A practical, structured methodology for strategically prioritizing emerging aviation R&D in such an environment is lacking. The existing multi-criteria decision aid tools are primarily utilized at an enterprise level, take months to set up and collect data, require large teams of experts, are used on an infrequent basis, and are not conducive to a …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

College of Graduate Studies: Theses & Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

Inventions In The Area Of Nanotechnologies And Nanomaterials. Part I, Leonid A. Ivanov, Li Da Xu, Zhanna V. Pisarenko, Svetlana R. Muminova, Nadezda G. Miloradova

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies inspire people by demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries. Main part. The article provides an abstract overview of inventions of scientists, engineers and specialists from different countries: Germany, Russia, China, USA et al. The results of the creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials allow, when introduced to industry, achieving a significant effect in construction, housing and communal services, and related sectors of …

The Need For International Ai Activities Monitoring, Parviz Partow-Navid, Ludwig Slusky

Journal of International Technology and Information Management

This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The …

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

Mitigating Supply Chain Disruptions In Retail Discount Department Stores, Anthony T. Patton

Walden Dissertations and Doctoral Studies

Supply chain disruptions can have adverse effects on business outcomes. Retail industry supply chain leaders are concerned with supply chain disruptions because supply chain disruptions can lead to dissatisfied customers and loss of profits. Grounded in game theory, the purpose of this multiple case study was to explore strategies four retail industry supply chain leaders in Northern Illinois and Northwest Indiana implemented to mitigate the effects of supply chain disruptions. Data were collected using semistructured virtual interviews with four retail industry supply chain leaders and a review of company documents. Through thematic analysis, four themes emerged: (a) choosing appropriate inventory …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Single Pilot Operations And Public Acceptance: A Mixed Methods Study Conducted In Greece, Panagiotis Kioulepoglou, Ilias Makris

International Journal of Aviation, Aeronautics, and Aerospace

The airline industry is moving towards Single Pilot Operations (SPO), as a result of the increased training and salary cost of pilots, and also as a remedy to the impending pilot shortage which is estimated to manifest itself in the years to follow. The main objective of this study was to explore whether the Greek public is willing to accept only one pilot onboard, what are the factors that affect this decision, and which is the preferred method of replacing the second pilot by choosing between an array of alternative options proposed by the industry.

Based on the qualitative findings …

Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick

Complex Systems Faculty Publications and Presentations

This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …

Strategies Automotive Manufacturing Managers Use To Deliver Work In Alignment With Project Milestones, Sashidhar Mr. Sankaranarayanan

Walden Dissertations and Doctoral Studies

Project managers working in manufacturing firms in the automotive industry frequently face challenges such as cost overruns, schedule delays, and scope changes. Project managers often lack effective strategies to ensure that different departments deliver their work in alignment with project milestones, which can negatively affect project success rates. Grounded in the balanced scorecard framework, the purpose of this qualitative single case study was to explore strategies managers in the automotive manufacturing industry used in their different departments to deliver their work in alignment with project milestones. The participants were three project managers who had successfully implemented strategies that reduced the …