Physical Sciences and Mathematics Commons^™

College Of Engineering Senior Design Competition Fall 2012, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Senior Design Experience

Part of every UNLV engineering student's academic experience, the Senior Design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs and prototypes a product in this required element of the curriculum. Working in teams, the senior design project encourages students to use everything learned in the engineering and computer design programs to create a practical, real world solution to an engineering challenge.

Beyond the classroom ...

Because of the requirement to work in teams, students also build good communication skills, presentation skills and even business writing skills. They also have to …

Climate Change Adaptation Chapter: Marshfield, Massachusetts, Joshua H. Chase, Jonathan G. Cooper, Rory Elizabeth Fitzgerald, Filipe Antunes Lima, Sally R. Miller, Toni Marie Pignatelli

Landscape Architecture & Regional Planning Studio and Student Research and Creative Activity

Climate change, understood as a statistically significant variation in the mean state of the climate or its variability, is the greatest environmental challenge of this generation (Intergovernmental Panel on Climate Change, 2001). Marshfield is already being affected by changes in the climate that will have a profound effect on the town’s economy, public health, coastal resources, natural features, water systems, and public and private infrastructure. Adaptation strategies have been widely recognized as playing an important role in improving a community’s ability to respond to climate stressors by resisting damage and recovering quickly.

Based on review of climate projections for the …

Assessment Of Passive Fire Protection On Steel-Girder Bridges, Michael Davidson

Masters Theses & Specialist Projects

Bridges in the US are severely damaged or suffer collapse from fires at significant rates, even when compared to other hazards such as earthquakes. Fire-induced bridge collapses are perpetuated by the general lack of installed fire protection systems. Therefore, new materials and applications are needed to mitigate structural damage that can be caused to civil infrastructure by severe fires. Accordingly, the objective of this study is to further the development of new fire protection applications in transportation structures. Specifically, the investigation centers on the development of new applications in passive fire protection materials, within the context of shielding steel-girder bridges …

A Mechanism For Organizing Last-Mile Service Using Non-Dedicated Fleet, Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars and use public transport is the most effective way in reducing congestion; however, even with sufficient public transport capacity, the lack of last-mile (from the transport hub to the destination) travel services is the major deterrent for the adoption of public transport. Due to the dynamic nature of such travel demands, fixed-size fleets will …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Multi-agent planning is a well-studied problem with various applications including disaster rescue, urban transportation and logistics, both for autonomous agents and for decision support to humans. Due to computational constraints, existing research typically focuses on one of two scenarios: unstructured domains with many agents where we are content with heuristic solutions, or domains with small numbers of agents or special structure where we can provide provably near-optimal solutions. By contrast, in this paper, we focus on providing provably near-optimal solutions for domains with large numbers of agents, by exploiting a common domain-general property: if individual agents each have limited influence …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoff Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Multi-agent planning is a well-studied problem with various applications including disaster rescue, urban transportation and logistics, both for autonomous agents and for decision support to humans. Due to computational constraints, existing research typically focuses on one of two scenarios: unstructured domains with many agents where we are content with heuristic solutions, or domains with small numbers of agents or special structure where we can provide provably near-optimal solutions. By contrast, in this paper, we focus on providing provably near-optimal solutions for domains with large numbers of agents, by exploiting a common domain-general property: if individual agents each have limited influence …

Knowledge-Driven Autonomous Commodity Trading Advisor, Yee Pin Lim, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

The myth that financial trading is an art has been mostly destroyed in the recent decade due to the proliferation of algorithmic trading. In equity markets, algorithmic trading has already bypass human traders in terms of traded volume. This trend seems to be irreversible, and other asset classes are also quickly becoming dominated by the machine traders. However, for asset that requires deeper understanding of physicality, like the trading of commodities, human traders still have significant edge over machines. The primary advantage of human traders in such market is the qualitative expert knowledge that requires traders to consider not just …

Collaborative Research: North East Cyberinfrastructure Consortium, Michael Eckardt

University of Maine Office of Research Administration: Grant Reports

EPS-0918284, University of Vermont & State Agricultural College, J. L. Van Houten, linked to EPS-0918033 (University of New Hampshire), EPS-0918078 (University of Delaware), EPS-0918018 (University of Maine), EPS-0918061 (University of Rhode Island)
Collaborative Research: North East Cyberinfrastructure Consortium

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

The North East Cyberinfrastructure Consortium (NECC) unites Maine (ME), New Hampshire (NH), Vermont (VT), Rhode Island (RI), and Delaware (DE) to support cyber-enabled research that requires analyses of large datasets. The project is organized around sharing resources, expertise and facilities in order to make cyber-enabled collaborative …

Slides: Survey Of State Sampling And Monitoring Rules, Kathryn Mutz, Josh Kruger

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenters: Kathryn Mutz and Josh Kruger, Natural Resources Law Center, University of Colorado Law School

7 slides

Slides: Routes To Sustainability: Natural Gas Development And Air And Water Resources In The Rocky Mountain Region, Mark Williams

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Mark Williams, University of Colorado Boulder

14 slides

Slides: Overview Of Colorado Aquifer Systems, Christopher J. Sanchez

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Christopher J. Sanchez, P.G., BBA Water Consultants, Bishop-Brogden Associates, Inc.

28 slides

Slides: Colorado Law: Protecting Water Quantity And Quality, Alan E. Curtis

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Alan E. Curtis, White & Jankowski, LLP

23 slides

Slides: What Went Wrong At Divide Creek?, Matthew Sura

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Attorney Matthew Sura, Former Director of Western Colorado Congress, graduate of University of Colorado Law School; attorney specializing in representation of landowners and mineral owners in oil and gas transactions and disputes

17 slides

Slides: Colorado’S Groundwater Protection Program, Andrew Ross

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Andrew Ross, Colorado Department of Public Health and Environment

22 slides

Slides: The Role Of Groundwater Sampling/Monitoring: Cogcc Proposed Rule 609, Gene Florentino

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Gene Florentino, PG, Walsh Environmental Scientists and Engineers

14 slides

Further Information: Monitoring And Protecting Groundwater During Oil And Gas Development, University Of Colorado Boulder. Natural Resources Law Center. Intermountain Oil And Gas Bmp Project, Colorado Water And Energy Research Center

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

1 page.

"For Further Information" (URLs):

COGCC

Rules and Proposed Rules from Other Jurisdictions

Sampling Protocols

Impacts

Agenda: Monitoring And Protecting Groundwater During Oil And Gas Development, University Of Colorado Boulder. Natural Resources Law Center. Intermountain Oil And Gas Bmp Project, Colorado Water And Energy Research Center

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

This workshop is cosponsored by the Intermountain Oil and Gas BMP Project and the Colorado Water and Energy Research Center, with financial support from the Environmentally Friendly Drilling Project and the CU-Boulder Outreach Committee.

The Colorado Oil and Gas Conservation Commission (COGCC) recently initiated a rule making process to develop new, statewide regulations for baseline sampling and monitoring of groundwater near new oil and gas wells. COGCC’s first rule making hearing was held November 14; the rule is expected to be finalized December 10. This workshop will discuss oil and gas development procedures that can impact groundwater, the current rules …

Slides: Proposed Statewide Baseline Groundwater Sampling And Monitoring Rules, University Of Colorado Boulder. Natural Resources Law Center, Colorado. Oil And Gas Conservation Commission

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Kathryn Mutz, Natural Resources Law Center, University of Colorado Law School

16 slides

Slides: Research On Ground Water Monitoring, Matt Samelson

Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)

Presenter: Matt Samelson, Natural Resources Law Center and the Donnell-Kay Foundation

12 slides

The Nebraska Water Leaders Academy: Blending Water Policy And Science With Leadership Theory, Mark E. Burbach, Connie I. Reimers-Hild

Nebraska Water Leaders Academy: Publications and Materials

Water Challenges are Growing
Population Continues to Grow
New and Innovative Leadership is Needed
Nebraska Water Leaders Academy (NWLA) was born!

NWLA Objectives
•Develop scientific, social and political knowledge about water and related natural resources
• Examine the economical and beneficial uses of Nebraska’s water resources
• Develop and enhance leadership and critical thinking skills
• Develop interpersonal skills to become actively involved with water policy issues at the local, regional, state, and national levels
• Develop life-long water resources management skills
• Challenge traditional paradigms while encouraging critical thinking and creative solutions.

Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram, Qianru Sun, Hong Liu

Research Collection School Of Computing and Information Systems

Classifying realistic human actions in video remains challenging for existing intro-variability and inter-ambiguity in action classes. Recently, Spatial-Temporal Interest Point (STIP) based local features have shown great promise in complex action analysis. However, these methods have the limitation that they typically focus on Bag-of-Words (BoW) algorithm, which can hardly discriminate actions’ ambiguity due to ignoring of spatial-temporal occurrence relations of visual words. In this paper, we propose a new model to capture this contextual relationship in terms of pairwise features’ co-occurrence. Normalized Google-Like Distance (NGLD) is proposed to numerically measuring this co-occurrence, due to its effectiveness in semantic correlation analysis. …

Study On Pore Distribution And Formation Rule Of Sepiolite Mineral Nanomaterials, Qingguo Tang, Fei Wang, Mengran Tang, Jinsheng Liang, Chongyan Ren

Electrical and Computer Engineering Faculty Publications

Theoretical research and specific surface area analysis of nitrogen adsorption indicated that a lot of structural micropores exist in sepiolite minerals fibers. However, the microporous size, existing form, and the distribution relationship between microporous structures were not proved yet. In this paper, the section TEM samples of nanofibers were prepared on the basis of the metal embedding and cutting technique, and the inner structure of sepiolite nanofibers was observed by TEM. The results showed that sepiolite fibers have multiplayer structure similar to concentric circles, and many micropores with the size of about 2–5 nm are normal and parallel to the …

Towards Logical Linked Data Compression, Amit Krishna, Pascal Hitzler, Guozhu Dong

Computer Science and Engineering Faculty Publications

Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is becoming increasingly important. In this study, we introduce a novel lossless compression technique for RDF datasets, called Rule Based compression (RB compression) that compresses datasets by generating a set of new logical rules from the dataset and removing triples that can be inferred from these rules. We employ existing frequent pattern mining algorithms for generating new logical rules. Unlike other compression techniques, our approach not only takes advantage of syntactic verbosity and data redundancy but also utilizes intra- and …

Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz

CSE Conference and Workshop Papers

This paper describes the challenges of data mining uncertain water reservoir data based on past human operations in order to learn from them reservoir policies that can be automated for the future operation of the water reservoirs. Records of human operations of water reservoirs often contain uncertain data. For example, the recorded amounts of water released and retained in the water reservoirs are typically uncertain, i.e., they are bounded by some minimum and maximum values. Moreover, the time of release is also uncertain, i.e., typically only monthly or weekly amounts are recorded. To increase the effectiveness of data mining of …

Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu

Research Collection School Of Computing and Information Systems

Over the years, the academic researchers have contributed various visual concept classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large number of classifiers from scratch despite expensive labeling efforts and limited computing resources. A valid question is why not multimedia community “embrace the green” and recycle off-the-shelf classifiers for new dataset. The difficulty originates from the domain gap that there are many different factors that govern the development of a classifier and eventually drive its performance to emphasize certain aspects of dataset. Reapplying a classifier to an unseen dataset may end up GIGO (garbage in, garbage …

Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang

Research Collection School Of Computing and Information Systems

Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …

Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from communitycontributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five …

Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin

Research Collection School Of Computing and Information Systems

This paper provides a very useful and promising analysis and comparison of current architectures of autonomous intelligent systems acting in real time and specific contexts, with all their constraints. The chosen issue of Cognitive Architectures and Autonomy is really a challenge for AI current projects and future research. I appreciate and endorse not only that challenge but many specific choices and claims; in particular: (i) that “autonomy” is a key concept for general intelligent systems; (ii) that “a core issue in cognitive architecture is the integration of cognitive processes ....”; (iii) the analysis of features and capabilities missing in current …

Modeling And Simulation Of Pressure Waves Generated By Nano-Thermite Reactions, Karen S. Martirosyan, Maxim Zyskin, Charles M. Jenkins, Yasuyuki Horie

Physics and Astronomy Faculty Publications and Presentations

This paper reports the modeling of pressure waves from the explosive reaction of nano-thermites consisting of mixtures of nanosized aluminum and oxidizer granules. Such nanostructured thermites have higher energy density (up to 26 kJ/cm3) and can generate a transient pressure pulse four times larger than that from trinitrotoluene (TNT) based on volume equivalence. A plausible explanation for the high pressure generation is that the reaction times are much shorter than the time for a shock wave to propagate away from the reagents region so that all the reaction energy is dumped into the gaseous products almost instantaneously and thereby a …

Lonomics Atlas: A Tool To Explore Interconnected Ionomic, Genomic And Environmental Data, Eduard Dragut, Amgad Madkour, Mohamed Nabeel, Peter Baker, Mourad Ouzzani, David Salt

Cyber Center Publications

Ionomics Atlas facilitates access, analysis and interpretation of an existing large-scale heterogeneous dataset consisting of ionomic (elemental composition of an organism), ge- netic (heritable changes in the DNA of an organism) and ge- ographic information (geographic location, altitude, climate, soil properties, etc). Ionomics Atlas allows connections to be made between the genetic regulation of the ionome of plant populations and their landscape distribution, allowing scientists to investigate the role of natural ionomic variation in adaptation of populations to varied environmental conditions in the landscape. The goal of the Ionomics Atlas is twofold: (1) to allow both novice and expert users …