Beating The Odds With The Insider’S Scoop: Tips And Tricks From The Library Secrets! Librarian, 2017 College of DuPage
Beating The Odds With The Insider’S Scoop: Tips And Tricks From The Library Secrets! Librarian, Jennifer Kelley
Is the research process an “unbeatable” game, where the odds are always against the student? We see our students sitting blankly in front of computer screens, dropping search terms into databases like coins into one-armed bandits, hoping for the jackpot—full-text articles on their subject seemingly elusive as three cherries in a row. Games generally have a learning curve—the more you play, the better you become. Increasingly, however, gamers turn to tips and tricks resources for shortcuts, strategies and cheat codes that can give them the edge and propel them to the next level. When it comes to research ...
Energy Safety Management: Mitigating Loss Of Control Inflight, 2017 Embry-Riddle Aeronautical University - Prescott
Energy Safety Management: Mitigating Loss Of Control Inflight, Juan Merkt
National Training Aircraft Symposium (NTAS)
Under the new Airman Certification Standards (ACS), the Federal Aviation Administration (FAA) has mandated for the first time that private and commercial pilot candidates demonstrate understanding of energy management in several areas of operation. Recognition by the FAA of the importance of energy management is a welcome development, given the potential lethal consequences of mishandling the airplane’s energy state. Poor management of the energy associated with vertical flight path and/or airspeed is a significant factor in loss of control in flight and runway excursions during landing, two leading causes of fatal accidents in aviation. While most pilots are ...
The Tax Treatment Of Tokens: What Does It Betoken?, 2017 University of Pennsylvania Law School
The Tax Treatment Of Tokens: What Does It Betoken?, David J. Shakow
Digital tokens have been used to raise substantial amounts of money. But little attention has been paid to the tax consequences surrounding their issuance and sale. There are significant potential tax liabilities lurking in the use of digital tokens. But, because of the anonymity inherent in the blockchain structures used for the issuance of tokens and payments for them, there is a significant question as to whether those tax liabilities will ever be collected.
How Governmental Greenhouse Gas Science Has Been Weathered Through Time And Why It Matters, 2017 California Polytechnic State University, San Luis Obispo
How Governmental Greenhouse Gas Science Has Been Weathered Through Time And Why It Matters, Christopher Apple
STAR (STEM Teacher and Researcher) Presentations
Global consumption of materials and energy is accelerating. The rate of plant and animal species extinction is accelerating. On a finite Earth with a growing population, current consumption cannot continue sustainably. Greenhouse gases (GHGs) tell us an important part of this story. The Global Greenhouse Gas Reference Network, managed by scientists at NOAA’s Earth System Research Laboratory, is the largest greenhouse gas analysis network in the world. It has been shaped by scientific questions, stagnant funding despite rises in research costs, and the task of understanding how the Earth system will respond to a changing climate. The Network began ...
How Do Former Undergraduate Mentors Evaluate Their Mentoring Experience 3-Years Post-Mentoring: A Phenomenological Study, 2017 University of Nebraska at Omaha
How Do Former Undergraduate Mentors Evaluate Their Mentoring Experience 3-Years Post-Mentoring: A Phenomenological Study, Kari L. Nelson, Christine E. Cutucache
The Qualitative Report
This phenomenological study involves a unique, longitudinal assessment of the lived experiences of former undergraduate mentors (n=7) in light of their current experiences (i.e., career or advanced schooling). The objective of a phenomenological study is to engage in in-depth probing of a representative number of participants. Specifically, we followed up with graduates of the Nebraska STEM 4U (NE STEM 4U) intervention 3 years post-program, with the overall goal of describing the mentors’ experiences using the lens of their current experiences. This type of longitudinal perspective of mentoring is greatly lacking in the current literature. At the time of ...
Empirical Study On The Accessibility Of Wi-Fi, Computers And Cell Phones In Cuba, 2017 Embry-Riddle Aeronautical University
Empirical Study On The Accessibility Of Wi-Fi, Computers And Cell Phones In Cuba, Katalina Montalvo
This paper reviews the accessibility of technology in Havana, Cuba as it begins to open its borders to the modern world. The technology researched includes cell phones, Wi-Fi, computers, and personal computers. As the embargo on Cuba begins to fade, tourists and new businesses are flocking to this once heavily restricted island. The focus of this paper is to explain the availability of modern technology to the citizens of Cuba. Currently, technology is very limited in Cuba because Wi-Fi is an expensive luxury for the average Cuban. Modern computers are also an expensive purchase, which forces Cubans to put together ...
Discovering Explanatory Models To Identify Relevant Tweets On Zika, 2017 Wright State University - Main Campus
Discovering Explanatory Models To Identify Relevant Tweets On Zika, Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William L. Romine
Zika virus has caught the worlds attention, and has led people to share their opinions and concerns on social media like Twitter. Using text-based features, extracted with the help of Parts of Speech (POS) taggers and N-gram, a classifier was built to detect Zika related tweets from Twitter. With a simple logistic classifier, the system was successful in detecting Zika related tweets from Twitter with a 92% accuracy. Moreover, key features were identified that provide deeper insights on the content of tweets relevant to Zika. This system can be leveraged by domain experts to perform sentiment analysis, and understand the ...
Reconceptualizing The Work Of A Content Provider For An Online Audience: A Case Study For How Pedagogical Strategies Can Provide Models Of Engagement For Producers Of Entertainment, 2017 Old Dominion University
Reconceptualizing The Work Of A Content Provider For An Online Audience: A Case Study For How Pedagogical Strategies Can Provide Models Of Engagement For Producers Of Entertainment, Diane Cooke
English Theses & Dissertations
With the interconnectivity of the Internet, and the availability of affordable media compositional tools, the proliferation of online media continues to grow exponentially. However, each day is still comprised of a fixed 24 hours, with far fewer hours spent in active media consumption. Considering the global potential for content to be found (Moreville), discovered (Cormier) or spread (Jenkins), content providers are looking for ways to attract, cultivate and hopefully expand their audiences amid all this digital clutter. In the field of entertainment, this challenge is complicated when small content providers are not aligned with an online, curated network such as ...
Design Of A Virtual Laboratory For Automation Control, 2017 Old Dominion University
Design Of A Virtual Laboratory For Automation Control, Zelin Zhu
Modeling, Simulation & Visualization Engineering Theses & Dissertations
In the past, only students who studied on campus were able to access laboratory equipment in traditional lab courses; distance learning students, enrolled in online courses, were at a disadvantage for they could learn basic lab experiment principles but could never experience hands-on learning. Modeling and simulation can be a powerful tool for generating virtual laboratories for distance learning students. This thesis describes the design and development of a virtual laboratory for automation control using mechanical, electrical, and pneumatic components for an automation and control course at Old Dominion University. This virtual laboratory application was implemented for two platforms — Windows ...
Image Descriptors From Convnets: Comparing Global Pooling Methods For Image Retrieval, 2017 University of Wollongong
Image Descriptors From Convnets: Comparing Global Pooling Methods For Image Retrieval, Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang
2016 IEEE.A major component of a generic image retrieval pipeline is producing concise and effective descriptors for each image. Previous works have shown impressive results in image retrieval when using descriptors from the black-box output of the fully-connected stage of pretrained Convolutional Neural Networks (ConvNets). However, previous work on descriptors pooled from the deep feature maps from late convolutional layers can produce more discriminative descriptors for generic image retrieval, while being relatively concise. When planning to globally pool such feature maps from a ConvNet, some options to consider are (1) the depth of the network, (2) choice of layer ...
A Knowledge Graph Framework For Detecting Traffic Events Using Stationary Cameras, 2017 Wright State University - Main Campus
A Knowledge Graph Framework For Detecting Traffic Events Using Stationary Cameras, Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth
With the rapid increase in urban development, it is critical to utilize dynamic sensor streams for traffic understanding, especially in larger cities where route planning or infrastructure planning is more critical. This creates a strong need to understand traffic patterns using ubiquitous sensors to allow city officials to be better informed when planning urban construction and to provide an understanding of the traffic dynamics in the city. In this study, we propose our framework ITSKG (Imagery-based Traffic Sensing Knowledge Graph) which utilizes the stationary traffic camera information as sensors to understand the traffic patterns. The proposed system extracts image-based features ...
Interestingness Of Discovered Association Rules In Terms Of Neighborhood-Based Unexpectedness, 2017 Wright State University - Main Campus
Interestingness Of Discovered Association Rules In Terms Of Neighborhood-Based Unexpectedness, Guozhu Dong, Jinyan Li
One of the central problems in knowledge discovery is the development of good measures of interestingness of discovered patterns. With such measures, a user needs to manually examine only the more interesting rules, instead of each of a large number of mined rules. Previous proposals of such measures include rule templates, minimal rule cover, actionability, and unexpectedness in the statistical sense or against user beliefs. In this paper we will introduce neighborhood-based interestingness by considering unexpectedness in terms of neighborhood-based parameters. We first present some novel notions of distance between rules and of neighborhood of rules. The neighborhood-based interestingness of ...
The Space Of Jumping Emerging Patterns And Its Incremental Maintenance, 2017 Wright State University - Main Campus
The Space Of Jumping Emerging Patterns And Its Incremental Maintenance, Jinyan Li, Kotagiri Ramamohanarao, Guozhu Dong
The concept of jumping emerging patterns (JEPs) has been proposed to describe those discriminating features which only occur in the positive training instances but do not occur in the negative class at all; JEPs have been used to construct classifiers which generally provide better accuracy than the state-of-the-art classifiers such as C4.5. The algorithms for maintaining the space of jumping emerging patterns (JEP space) are presented in this paper. We prove that JEP spaces satisfy the property of convexity. Therefore JEP spaces can be concisely represented by two bounds: consisting respectively of the most general elements and the most ...
Making Use Of The Most Expressive Jumping Emerging Patterns For Classification, 2017 Wright State University - Main Campus
Making Use Of The Most Expressive Jumping Emerging Patterns For Classification, Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao
Classification aims to discover a model from training data that can be used to predict the class of test instances. In this paper, we propose the use of jumping emerging patterns (JEPs) as the basis for a new classifier called the JEP-Classifier. Each JEP can capture some crucial difference between a pair of datasets. Then, aggregating all JEPs of large supports can produce a more potent classification power. Procedurally, the JEP-Classifier learns the pair-wise features (sets of JEPs) contained in the training data, and uses the collective impacts contributed by the most expressive pair-wise features to determine the class labels ...
Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, 2017 Wright State University - Main Campus
Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
This paper addresses the maintenance of discovered frequent patterns when a batch of transactions are removed from the original dataset. We conduct an in-depth investigation on how the frequent pattern space evolves under transaction removal updates using the concept of equivalence classes. Inspired by the evolution analysis, an effective and exact algorithm TRUM is proposed to maintain frequent patterns. Experimental results demonstrate that our algorithm outperforms representative state-of-the-art algorithms.
Adapting Social Media To Arabian Gulf Norms, 2017 University of Washington
Adapting Social Media To Arabian Gulf Norms, Norah Abokhodair, Adam Hodges, Sarah E. Vieweg
Adam W. Hodges
Eyes Off The Earth? Public Opinion Regarding Climate Science And Nasa, 2017 University of New Hampshire
Eyes Off The Earth? Public Opinion Regarding Climate Science And Nasa, Lawrence C. Hamilton, Jessica Brunacini, Stephanie Pfirm
The Carsey School of Public Policy at the Scholars' Repository
In this brief, authors Lawrence Hamilton, Jessica Brunacini, and Stephanie Pfirman report the results of two nationwide Polar, Environment, and Science surveys on climate change conducted in 2016, as well as a follow-up April 2017 Granite State Poll asking New Hampshire residents their thoughts on proposed cuts to the NASA program. Seventy-three percent of respondents in the nationwide survey said they trust science agencies such as NASA for information about climate change. The second-most-trusted source of information about climate change is family and friends. Despite political divisions, science agencies such as NASA are trusted by substantial majorities within every political ...
An Exploratory Study Of School To Work Transition Experiences Of Applied Science And Technology Students In Southern Ontario, Robert Kilby
Publications and Scholarship
This paper details a qualitative study undertaken on a small sampling of community college graduates. The graduates’ pathways from school to work have been studied in relation to existing scholarly transition models. The author was able to discover only a small number of studies dealing with the college to work transition experience of applied science and technology students, no scholarly papers were found with respect to this student population in Ontario, Canada. This study was an inquiry into the college to work transition experiences of a purposive sample of graduates from regional community colleges in Southern Ontario. Sixteen semi-structured qualitative ...
Table Of Contents Jitim Vol 26 Issue 2, 2017, 2017 California State University, San Bernardino
Table Of Contents Jitim Vol 26 Issue 2, 2017
Journal of International Technology and Information Management
Table of Contents JITIM vol 26 issue 2, 2017
Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew
Journal of International Technology and Information Management
Over the last few years, big data has emerged as an important topic of discussion in most firms owing to its ability of creation, storage and processing of content at a reasonable price. Big data consists of advanced tools and techniques to process large volumes of data in organisations. Investment in big data analytics has almost become a necessity in large-sized firms, particularly multinational companies, for its unique benefits, particularly in prediction and identification of various trends. Some of the most popular big data analytics software used today are MapReduce, Hive, Tableau and Hive, while the framework Hadoop enables easy ...