Engineering Commons^™

Function, Meaning, And Message Of The Natural Environtment In The Story Of Keong Mas, Adinda Bunga Utami, Nanny Sri Lestari

International Review of Humanities Studies

This research discusses the meaning and function of the natural environment in one folk tale that is well known in the Javanese community. This folktale is known in all circles of society, despite having social differences. An interesting problem in this folklore is the placement of functions and environmental meanings as the main elements of stories or tales. The focus of this research is to raise the function and meaning of the natural environment contained in one story of Keong Mas. This study aims to explain carefully the function and meaning of the natural environment which is the background of …

Advanced Photogrammetric Modeling Of Dranoc Kullas Using Small Unmanned Aircraft Systems, George Gebert, Liam Griffin, Justin Lawlor, Lauren Davis, Kylee Vander Velde, Sami Ali

Student Works

Small unmanned aircraft systems (sUAS), also known as drones, offer new capabilities for cultural heritage preservation activities. Student researchers from Embry-Riddle Aeronautical University have applied photogrammetric techniques based upon sUAS captured imagery to assist with historical site documentation and cultural heritage preservation in the Republic of Kosovo. Imagery from three locations -- Isniq, Dranoc and Junik -- highlight this work. Student researchers created georectified orthomosaics and 3D virtual objects. At each of these three locations the object of interest was a type of building known as a kulla. These kullas are fortified homes built for protecting large families and are …

Keeping Your Library Relevant For Your Users- Engine Parts Petting Zoo, Gabriele Hysong

Midwest Business Librarian Summit (MBLS)

As corporate libraries are downsized or even closed how do information professionals keep their libraries relevant?

The Design And Implementation Of Aida: Ancient Inscription Database And Analytics System, M. Parvez Rashid

School of Computing: Dissertations, Theses, and Student Research

AIDA, the Ancient Inscription Database and Analytic system can be used to translate and analyze ancient Minoan language. The AIDA system currently stores three types of ancient Minoan inscriptions: Linear A, Cretan Hieroglyph and Phaistos Disk inscriptions. In addition, AIDA provides candidate syllabic values and translations of Minoan words and inscriptions into English. The AIDA system allows the users to change these candidate phonetic assignments to the Linear A, Cretan Hieroglyph and Phaistos symbols. Hence the AIDA system provides for various scholars not only a convenient online resource to browse Minoan inscriptions but also provides an analysis tool to explore …

Minimodal: Dimensional Domain Of Miniature Shipping Containers For Intermodal Freight Transportation, Lee Stapley

Ursidae: The Undergraduate Research Journal at the University of Northern Colorado

This study explores the feasibility of miniature shipping container usage within existing intermodal transportation (IT) supply chains. Smaller intermodal container shipments may help realign freight shipments with the most efficient transportation mode, rail. These containers embolden the dimensional domain (DD) of shipping. The shipping container dimensional domain (container size variation and modal fluidity) is widespread and results in shipments that are often larger or more infrequent than needed. The DD impacts transport mode, shipping frequency, shipment velocity, intermodal supply chain accessibility, and regional shipping networks. This study suggests that container size impacts the DD and, therefore, mode choice. As miniature …

Personality And Technology: Big Five Personality Traits As Descriptors Of Universal Acceptance And Usage Of Technology Utaut., Shohar Bano, Ubaid Ullah Shah, Dr. Sabha Ali

Library Philosophy and Practice (e-journal)

Presently, information professionals are progressively dependent on information and communication technologies to complete their everyday tasks. As, result dependence on PC frameworks, programming and data innovation-related technologies are increasing for better working and providing quality services. Therefore, to understand, analyze and evaluate the acceptance and use of this technology several models of technology acceptance and use have been formulated in information science literature. Using eight such models, Venkatesh, Morris, Davis and Davis proposed a unified model called the Unified Theory of Acceptance and Use of Technology or (UTAUT) model. The UTAUT model has been studied and analyzed in various spheres …

A Systematic Review Of Studies On Educational Robotics, Saira Anwar, Nicholas Alexander Bascou, Muhsin Menekse, Asefeh Kardgar

Journal of Pre-College Engineering Education Research (J-PEER)

There has been a steady increase in the number of studies investigating educational robotics and its impact on academic and social skills of young learners. Educational robots are used both in and out of school environments to enhance K–12 students’ interest, engagement, and academic achievement in various fields of STEM education. Some prior studies show evidence for the general benefits of educational robotics as being effective in providing impactful learning experiences. However, there appears to be a need to determine the specific benefits which have been achieved through robotics implementation in K–12 formal and informal learning settings. In this study, …

Factors Influencing Revenue Collection For Preventative Maintenance Of Community Water Systems: A Fuzzy-Set Qualitative Comparative Analysis, Liesbet Olaerts, Jeffrey P. Walters, Karl G. Linden, Amy Javernick-Will, Adam Harvey

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

This study analyzed combinations of conditions that influence regular payments for water service in resource-limited communities. To do so, the study investigated 16 communities participating in a new preventive maintenance program in the Kamuli District of Uganda under a public–private partnership framework. First, this study identified conditions posited as important for collective payment compliance from a literature review. Then, drawing from data included in a water source report and by conducting semi-structured interviews with households and water user committees (WUC), we identified communities that were compliant with, or suspended from, preventative maintenance service payments. Through qualitative analyses of these data …

Statistical Learning Of Biomedical Non-Stationary Signals And Quality Of Life Modeling, Mahdi Goudarzi

USF Tampa Graduate Theses and Dissertations

Statistical learning is a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer science and, in particular, machine learning.

The classification of biomedical non-stationary signals such as Electroencephalogram (EEG) is always a challenging problem due to their complexity. The low spatial resolution on the scalp, curse of dimensionality, poor signal-to-noise ratio are disadvantages of working with biomedical signals. EEG signals are unstructured data which needs preprocessing steps to extract informative features which are measurable and predictive. In the first two chapters of this dissertation, EEG …

Forecasting In Blockchain-Based Local Energy Markets, Michael Kostmann, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Increasingly volatile and distributed energy production challenges traditional mechanisms to manage grid loads and price energy. Local energy markets (LEMs) may be a response to those challenges as they can balance energy production and consumption locally and may lower energy costs for consumers. Blockchain-based LEMs provide a decentralized market to local energy consumer and prosumers. They implement a market mechanism in the form of a smart contract without the need for a central authority coordinating the market. Recently proposed blockchain-based LEMs use auction designs to match future demand and supply. Thus, such blockchain-based LEMs rely on accurate short-term forecasts of …

Santa Clara Magazine, Volume 60 Number 4, Summer 2019, Santa Clara University

Santa Clara Magazine

16 - PROTECTING THE HEART To grow the campus, we must care for the thing unchanging at its center—its Mission. Take a journey through the restoration of Mission Santa Clara de Asís. By Lander Eicholzer ’19.

22 - A LOBBY FOR JUSTICE What do you do when it is impossible for the innocent to prove their innocence? Change the law. The Northern California Innocence Project teamed up with state lawmakers and others to do just that. By Deborah Lohse.

26 - FINDING CENTER Outgoing Frank Sinatra Chair in the Performing Arts Taye Diggs reflects on celebrating who are you, where …

Santa Clara Magazine, Volume 60 Number 3, Summer 2019, Santa Clara University

Santa Clara Magazine

16 - PROTECTING THE HEART To grow the campus, we must care for the thing unchanging at its center—its Mission. Take a journey through the restoration of Mission Santa Clara de Asís. By Lander Eicholzer ’19.

22 - A LOBBY FOR JUSTICE What do you do when it is impossible for the innocent to prove their innocence? Change the law. The Northern California Innocence Project teamed up with state lawmakers and others to do just that. By Deborah Lohse.

26 - FINDING CENTER Outgoing Frank Sinatra Chair in the Performing Arts Taye Diggs reflects on celebrating who are you, where …

Notes On The Economics Of Residential Hybrid Energy System, Mahelet G. Fikru, Gregory M. Gelles, Ana M. Ichim, Joseph D. Smith

Economics Faculty Research & Creative Works

Despite advances in small-scale hybrid renewable energy technologies, there are limited economic frameworks that model the different decisions made by a residential hybrid system owner. We present a comprehensive review of studies that examine the techno-economic feasibility of small-scale hybrid energy systems, and we find that the most common approach is to compare the annualized life-time costs to the expected energy output and choose the system with the lowest cost per output. While practical, this type of benefit—cost analysis misses out on other production and consumption decisions that are simultaneously made when adopting a hybrid energy system. In this paper, …

Community Involvement And Leadership In Nonmetropolitan Nebraska: Rural Poll Research Report 19-1, Rebecca Vogt, Cheryl A. Burkhart-Kriesel, Randolph Cantrell, Bradley Lubben, L. J. Mcelravy, Timothy Meyer, Jason L. Weigle

Rural Futures Institute: Publications

Community leadership and involvement are important parts of community development. Rural communities rely on volunteers for many community development activities as well as local leadership positions. In smaller communities in particular, community members often take on multiple roles. Given these challenges, how involved are rural Nebraskans in community and political activities? How do they feel about the leadership in their community? How often do they have social interactions with others during a typical month? This paper provides a detailed analysis of these questions. This report details 1,776 responses to the 2019 Nebraska Rural Poll, the 24th annual effort to understand …

Aviation Weather Products In General Aviation : Interpretability And Usability Research Trends, Jacqueline Mcsorley, Jayde King, Beth Blickensderfer

General Aviation Weather Display Interpretation

• Introduction
• Current Study
• Trends
• Summary
• Conclusion

Intelligent Software Tools For Recruiting, Swatee B. Kulkarni, Xiangdong Che

Journal of International Technology and Information Management

In this paper, we outline how recruiting and talent acquisition gained importance within HRM field, then give a brief introduction to the newest tools used by the professionals for recruiting and lastly, describe the Artificial Intelligence-based tools that have started playing an increasingly important role. We also provide further research suggestions for using artificial intelligence-based tools to make recruiting more efficient and cost-effective.

Table Of Contents Jitim Vol 28 Issue 2, 2019

Journal of International Technology and Information Management

Table of Contents JITIM 2, 2019

Zac: A Zone Path Construction Approach For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Computing and Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the right requests to travel in available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. The most relevant existing work has focussed on generating as many relevant feasible (with respect to available delay for customers) combinations of requests (referred to as trips) as possible in real-time. …

Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the participation decision and working-hour decision, and evaluation of the impacts of hourly income rate on labor supply becomes important. In this paper, we propose an econometric framework with closed-form measures to estimate both the participation elasticity (i.e., extensive margin elasticity) and working-hour elasticity (i.e., intensive margin elasticity) of labor supply. We model the sample …

A Longitudinal Analysis Of The Impact Of The Indicators In The Networked Readiness Index (Nri), Satya Pratipatti, Ahmed Gomaa

Journal of International Technology and Information Management

World Economic Forum publishes the Networked Readiness Index (NRI) annually, to reflect the Information and Communication Technology (ICT) status of different countries. The NRI is developed by aggregating 53 indicators. The study identifies the most critical indicators to focus on, to improve the NRI status of countries at different stages of economic development. It uses data from 117 countries and analyzes the changes in the indicators along with their impacts between the years 2012 and 2016. The study explores the differences between countries by grouping them into four groups based on their NRI status. The analysis identifies six indicators with …

The Resilient City: A Platform For Informed Decision-Making Process, Jarutpong Vasuthanasub

Engineering Management & Systems Engineering Theses & Dissertations

As over half of the world’s population lives in cities, the rapid growth in urbanization has made cities become more and more exposed and vulnerable to a broad spectrum of threats and hazards. In order to respond to such difficulties, a concept of resilience is considered a significant component for the long-term planning and sustainable development of cities. “Resilient City” is a new paradigm that challenges the idealistic principle of stability and resistance to change implicitly in sustainable development and long-term success. However, building a resilient city requires a holistic approach, as well as the appropriate adoption of knowledge and …

English Language Proficiency And Aviation Safety, Robert Fowler Jr.

Student Works

The goal of this research study is to determine if aviation incidents and accidents due to deficiencies in English language proficiency have increased in the last 10 years based on data from the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS). In addition, this study will determine whether deficiencies in English language proficiency have a significant impact on aviation safety. There are currently 184,636 student pilots according to the Federal Aviation Administration Airmen Certification System. Included in this number are 11,776 student pilots with a foreign address (Federal Aviation Administration [FAA], 2019). Findings presented at a NASA …

Developing Algorithms To Detect Incidents On Freeways From Loop Detector And Vehicle Re-Identification Data, Biraj Adhikari

Civil & Environmental Engineering Theses & Dissertations

A new approach for testing incident detection algorithms has been developed and is presented in this thesis. Two new algorithms were developed and tested taking California #7, which is the most widely used algorithm to date, and SVM (Support Vector Machine), which is considered one of the best performing classifiers, as the baseline for comparisons. Algorithm #B in this study uses data from Vehicle Re-Identification whereas the other three algorithms (California #7, SVM and Algorithm #A) use data from a double loop detector for detection of an incident. A microscopic traffic simulator is used for modeling three types of incident …

Deep Reinforcement Learning Approach For Lagrangian Control: Improving Freeway Bottleneck Throughput Via Variable Speed Limit, Reza Vatani Nezafat

Civil & Environmental Engineering Theses & Dissertations

Connected vehicles (CVs) will enable new applications to improve traffic flow. The focus of this dissertation is to investigate how reinforcement learning (RL) control for the variable speed limit (VSL) through CVs can be generalized to improve traffic flow at different freeway bottlenecks. Three different bottlenecks are investigated: A sag curve, where the gradient changes from negative to positive values causes a reduction in the roadway capacity and congestion; a lane reduction, where three lanes merge to two lanes and cause congestion, and finally, an on-ramp, where increase in demand on a multilane freeway causes capacity drop. An RL algorithm …

Statistical Anomaly Detection And Mitigation Of Cyber Attacks For Intelligent Transportation Systems, Ammar Haydari

USF Tampa Graduate Theses and Dissertations

Secure vehicular communication is a critical factor for secure traffic management. Perfect security in intelligent transportation systems (ITS) has solid and efficient intrusion detection systems (IDS). In this paper, we consider false data injection attacks and distributed denial-ofservice attacks (DDoS), especially the stealth low-rate DDoS attacks, targeting the integrity and availability, respectively, in vehicular ad-hoc networks (VANET). Novel statistical intrusion detection and mitigation techniques are proposed for the considered attacks. The performance of the proposed methods are evaluated using a traffic simulator and a real traffic dataset. Comparisons with the state-of-the-art solutions clearly demonstrate the superior performance of the proposed …

Connecting With Deans And Chairs: Tools And Success Stories, Daniel Christie, Sally Fell, Kari Kozak, Anne E. Rauh

Librarian Publications

No abstract provided.

Steady State Hydroplaning Risk Analysis And Evaluation Of Unsteady State Effects, Menna Yassin

USF Tampa Graduate Theses and Dissertations

Hydroplaning is a major concern on high speed roadways during heavy rainfall events. Hydroplaning tools are widely used by designers to reduce their roadway’s hydroplaning potential, therefore reducing the possibilities of severe crashes. This dissertation presents two methodologies for improving the prediction of hydroplaning potential.

The first phase focused on improving an existing widely used software called PAVDRN. Using multiple datasets from the Florida Department of Transportation, the author filtered the data using specific criteria to leave only truly dynamic hydroplaning crashes. The author then evaluated PAVDRN’s prediction capabilities and assessed its reliability in predicting a hydroplaning crash. Using past …

The Nuclear Network: Multiplex Network Analysis For Interconnected Systems, Bethany L. Goldblum, Andrew W. Reddie, Thomas C. Hickey, James E. Bevins, Sarah Laderman, Nathaniel Mahowald, Austin P. Wright, Elie Katzenson, Yara Mubarak

Faculty Publications

States facing the decision to develop a nuclear weapons program do so within a broader context of their relationships with other countries. How these diplomatic, economic, and strategic relationships impact proliferation decisions, however, remains under-specified. Adding to the existing empirical literature that attempts to model state proliferation decisions, this article introduces the first quantitative heterogeneous network analysis of how networks of conflict, alliances, trade, and nuclear cooperation interact to spur or deter nuclear proliferation. Using a multiplex network model, we conceptualize states as nodes linked by different modes of interaction represented on individual network layers. Node strength is used to …

The Perils And Promises Of Artificial General Intelligence, Brian S. Haney

Journal of Legislation

No abstract provided.

Wrack Lines Volume 19, Number 1, Spring/Summer 2019, Nancy Balcom, Syma Ebbin, David Gregorio, Richard Telford, Judy Benson

Wrack Lines

Issue theme is: "Making Connections: As the Climate Changes, People and Nature Intertwine in New Ways." Articles include: "As More Roads Become Rivers, Communities Search for Solutions;" "Solving an Engineering Conundrum: As Coastal Homes Get Elevated, New Research Looks at Whether Vulnerability to Wind Damage Is Increasing;" "Along the Coast, Residents Consider How to Heed Sandy's Warning of What's to Come;" "All Rivers, All Lives Run to the Sea," about the intersection of waterways and the world of nature writer Edwin Way Teale; and "Crosscurrents: Connecticut Sea Grant's Retrospective Exhibition Makes Waves," about reaching new audiences and building bridges with …