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Multipath And Rate Stability, Junjie Liu, Roch A. Guérin 2016 Washington University in St. Louis

Multipath And Rate Stability, Junjie Liu, Roch A. Guérin

All Computer Science and Engineering Research

Originally Published In Proc. IEEE Globecom Conference - CQRM: Communication QoS, Reliability & Modeling Symposium


Coyotelab - Linux Containers For Educational Use, Michael D. Korcha 2016 California State University - San Bernardino

Coyotelab - Linux Containers For Educational Use, Michael D. Korcha

Electronic Theses, Projects, and Dissertations

CoyoteLab is an exploration in the use of Linux container technology as a means to simplify the way students in computing fields access and complete laboratory work in their educational career. This project provides two main benefits: creating a simple way for students to log in and access their coursework without anything more than their web browser, and providing course instructors a way to verify that assigned work is completed successfully. Thanks to advances in container technology and the advent of WebSockets, this becomes a middle layer between a WebSocket opened up on the client’s browser and the SSH ...


Harmonic Scale Transformations, John H. Chalmers 2016 University of California, San Diego

Harmonic Scale Transformations, John H. Chalmers

The STEAM Journal

My artwork derives from a project to delineate the transformations certain types of harmonic musical scales undergo as the sizes of their generating intervals vary over the space of the octave.


Perceptions Of Planned Versus Unplanned Malfunctions: A Human-Robot Interaction Scenario, Theresa T. Kessler, Keith R. MacArthur, Manuel Trujillo-Silva, Thomas MacGillivray, Chris Ripa, Peter A. Hancock 2016 University of Central Florida

Perceptions Of Planned Versus Unplanned Malfunctions: A Human-Robot Interaction Scenario, Theresa T. Kessler, Keith R. Macarthur, Manuel Trujillo-Silva, Thomas Macgillivray, Chris Ripa, Peter A. Hancock

Keith Reid MacArthur

The present study investigated the effect of malfunctions on trust in a human-robot interaction scenario. Participants were exposed to either a planned or unplanned robot malfunction and then completed two different self-report trust measures. Resulting trust between planned and unplanned exposures was analyzed, showing that trust levels impacted by planned malfunctions did not significantly differ from those impacted by unplanned malfunctions. Therefore, it can be surmised that the methods used for the manipulation of the planned malfunctions were effective and are recommended for further study use.


Data Predictive Control For Peak Power Reduction, Achin Jain, Madhur Behl, Rahul Mangharam 2016 University of Pennsylvania

Data Predictive Control For Peak Power Reduction, Achin Jain, Madhur Behl, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Decisions on how best to optimize today's energy systems operations are becoming ever so complex and conflicting such that model-based predictive control algorithms must play a key role. However, learning dynamical models of energy consuming systems such as buildings, using grey/white box approaches is very cost and time prohibitive due to its complexity. This paper presents data-driven methods for making control-oriented model for peak power reduction in buildings. Specifically, a data predictive control with regression trees (DPCRT) algorithm, is presented. DPCRT is a finite receding horizon method, using which the building operator can optimally trade off peak power ...


Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder 2016 Utah State University

Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder

Amber Jones

Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data product. It also depends on the ability of researchers to share and access the data in usable formats. In this paper ...


Time Series Analyst: Interactive Online Visualization Of Standards Based Environmental Time Series Data, Jeffery S. Horsburgh, Amber Spackman Jones, Maurier Ramírez, Juan Caraballo 2016 Utah State University

Time Series Analyst: Interactive Online Visualization Of Standards Based Environmental Time Series Data, Jeffery S. Horsburgh, Amber Spackman Jones, Maurier Ramírez, Juan Caraballo

Amber Jones

Visualization is a common need of many researchers, organizations, and projects that collect and use environmental sensor data. Web-based tools can provide screening-level visualization and data analysis functionality for users with a range of technical expertise. However, it is difficult to integrate data from multiple sources due to syntactic and semantic differences in data formats and different data delivery mechanisms that are not always interoperable. We developed an open-source time series visualization tool called the Time Series Analyst (TSA) that integrates data from multiple sources using web service interfaces and a standardized data encoding format. The TSA provides multiple types ...


Workflow Management System: A Customized Solution For Project Automation And Tracking, Amanda Harlan, Dhanushka Samarakoon 2016 Kansas State University

Workflow Management System: A Customized Solution For Project Automation And Tracking, Amanda Harlan, Dhanushka Samarakoon

Kansas Library Association College and University Libraries Section Proceedings

K-State Libraries have many complex digital workflows that involve multiple people and departments. One, in particular, had the ongoing issues of tracking different stages, individual responsibilities, information gathering, notifications, and uploads done manually. Due to the inefficiency that this caused, it led to the development of an open source workflow management system (WMS)


Segmentation Of Pulmonary Nodules In Computed Tomography Using A Regression Neural Network Approach And Its Application To The Lung Image Database Consortium And Image Database Resource Initiative Dataset, Temesguen Messay, Russell C. Hardie, Timothy R. Tuinstra 2016 University of Dayton

Segmentation Of Pulmonary Nodules In Computed Tomography Using A Regression Neural Network Approach And Its Application To The Lung Image Database Consortium And Image Database Resource Initiative Dataset, Temesguen Messay, Russell C. Hardie, Timothy R. Tuinstra

Timothy R Tuinstra, Ph.D.

We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a single user-supplied cue point. On the other hand, the SA system represents a new algorithm class requiring 8 user-supplied control points. This does increase the burden on the user, but we show that the resulting system is highly robust and can handle a variety of challenging cases. The proposed hybrid system starts with the FA system. If improved segmentation results are needed, the SA ...


Open Source, Modular Platforms, And The Challenge Of Fragmentation, Christopher S. Yoo 2016 University of Pennsylvania Law School

Open Source, Modular Platforms, And The Challenge Of Fragmentation, Christopher S. Yoo

Faculty Scholarship

Open source and modular platforms represent two powerful conceptual paradigms that have fundamentally transformed the software industry. While generally regarded complementary, the freedom inherent in open source rests in uneasy tension with the strict structural requirements required by modularity theory. In particular, third party providers can produce noncompliant components, and excessive experimentation can fragment the platform in ways that reduce its economic benefits for end users and app providers and force app providers to spend resources customizing their code for each variant. The classic solutions to these problems are to rely on some form of testing to ensure that the ...


A Coupled Curvature-Driven Mechanism For Both 2d And 3d Simulation For High Temperature Austenite Grain Growth Based On Cellular Automata, Min Wang, Jian Xin Zhou, Ya Jun Yin, Hai Nan, Wen LI, Tong Wang, Dongqiao Zhang 2016 Huazhong University of Science and Technology

A Coupled Curvature-Driven Mechanism For Both 2d And 3d Simulation For High Temperature Austenite Grain Growth Based On Cellular Automata, Min Wang, Jian Xin Zhou, Ya Jun Yin, Hai Nan, Wen Li, Tong Wang, Dongqiao Zhang

Tong Wang

No abstract provided.


Access All Around: A Niso Update On Open Access Discovery & Access Related Projects, Pascal Vincent Calarco, John G. Dove, Christine Stohn 2016 University of Windsor

Access All Around: A Niso Update On Open Access Discovery & Access Related Projects, Pascal Vincent Calarco, John G. Dove, Christine Stohn

Leddy Library Presentations

In this session, members of the NISO Discovery to Delivery Topic Committee will discuss NISO projects, recommendations and standards dealing with hot topics around discovery and access of electronic content. Presentations will include updates on open access discovery, specifically the recommended practice Access and License Indicators (ALI) and discussion of a new project proposal regarding discoverability of open access material. In addition, we will discuss two new projects. The first involves automatic transfer of packages and institutional entitlements from information providers to knowledge bases for the identification of institutional access rights using the KBART recommended practice. The second work item ...


Tethys: A Software Framework For Web-Based Modeling And Decision Support Applications, Norm Jones, Jim Nelson, Nathan Swain, Scott Christensen, David Tarboton, Pabitra Dash 2016 Brigham Young University

Tethys: A Software Framework For Web-Based Modeling And Decision Support Applications, Norm Jones, Jim Nelson, Nathan Swain, Scott Christensen, David Tarboton, Pabitra Dash

David Tarboton

We have developed a software framework called Tethys to aid in the creation of web-based water resource modeling applications. This suite is a Python-based scripting environment that leverages open source tools for geoprocessing of spatial data, map rendering and visualization, distributed computing, and database management. The system makes it possible to deploy a calibrated, high-resolution watershed or surface water model as a web-based application for decision support. The framework provides data managements, access to computing resources, and pluggable components (e.g. plots, maps and user controls) that enable rapid development of modeling applications. We have used the system to develop ...


A Study On Situational Awareness Security And Privacy Of Wearable Health Monitoring Devices, xavier bellekens 2016 Abertay University

A Study On Situational Awareness Security And Privacy Of Wearable Health Monitoring Devices, Xavier Bellekens

xavier bellekens

Situational Awareness provides a user centric approach to security and privacy. The human factor is often recognised as the weakest link in security, therefore situational perception and risk awareness play a leading role in the adoption and implementation of security mechanisms. In this study we assess the understanding of security and privacy of users in possession of wearable devices. The findings demonstrate privacy complacency, as the majority of users trust the application and the wearable device manufacturer. Moreover the survey findings demonstrate a lack of understanding of security and privacy by the sample population. Finally the theoretical implications of the ...


How Do Family Background And Self-Esteem Affect An Individual’S Perception Of Gender-Role Portrayal In Online Advertisements?, Cera T. Crowe, Aimee P. Meader Dr. 2016 Winthrop University

How Do Family Background And Self-Esteem Affect An Individual’S Perception Of Gender-Role Portrayal In Online Advertisements?, Cera T. Crowe, Aimee P. Meader Dr.

The Winthrop McNair Research Bulletin

The purpose of this study is to further understand the relationship of family background and how it affects self-esteem and the perception of gender roles in online imagery. This study focuses on how our history serves as a lens to see gender roles. The schema theory, created by Robert Axelrod, is a model suggesting that people have a “pre-existing assumption about the way the world is organized” (Axelford, 1974). Furthering this theory is Bem's (1981) Gender Schema Theory, which proposes that one's sexual self-concept affects how one structures items in memory. These theories, applied to the understood roles ...


An Application Of Plausible Reasoning To Information Retrieval, Farhad Oroumchian, Robert N. Oddy 2016 Syracuse University

An Application Of Plausible Reasoning To Information Retrieval, Farhad Oroumchian, Robert N. Oddy

Farhad Oroumchian

This work explores the use of plausible inferences as a means of retrieving relevant documents. Collins and Michalski’s theory of plausible reasoning has been modified to accommodate information retrieval. Methods are proposed to represent document contents by logical terms and statements, and queries by incomplete logical statements. Extensions to plausible inferences are discussed. Two versions of the extended plausible reasoning system were implemented, one using dominance weights (described in the paper) and the other using tf. Idf (Term Frequency Inverse Document Frequency) weights. Experiments were conducted using the titles and abstracts of the CACM collection and it was found ...


Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder 2016 Utah State University

Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder

Stephanie Reeder

Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data product. It also depends on the ability of researchers to share and access the data in usable formats. In this paper ...


Founding Sap Student User Group (Sug) At Southern Illinois University Carbondale - Siu Sug, Jihoon Park, SIUC ISAT 2016 Southern Illinois University Carbondale

Founding Sap Student User Group (Sug) At Southern Illinois University Carbondale - Siu Sug, Jihoon Park, Siuc Isat

ASA Multidisciplinary Research Symposium

Enterprise Computing has quickly become of paramount importance for businesses vying to survive in today’s unlimited competition market. SAP software has become a front runner and leader of business and technical innovation in the enterprise computing industry. Major fortune 500 companies are using SAP software as their main operating software. As the need for individuals knowledgeable on SAP has increased dramatically, learning SAP is becoming important for the market of employment


Learning And Practicing Data Analytics Using Sap In-Memory Computing, Hong G. Jung, Vincent L. Mitchell, Jihoon Park, Sam Chung 2016 Southern Illinois University Carbondale

Learning And Practicing Data Analytics Using Sap In-Memory Computing, Hong G. Jung, Vincent L. Mitchell, Jihoon Park, Sam Chung

ASA Multidisciplinary Research Symposium

The analysis and organization of Big Data is becoming important in the business industry. Using and understanding ERP (Enterprise Resource Planning) software to interpret Big Data is essential to the evolution of Information System Technology. This research on SAP HANA and SAP Lumira allows us the opportunity to explore.


Xml Schemas And Computer Language Copyright: Filling In The Blanks In Blank Esperanto, Douglas E. Phillips 2016 Washington, D.C.

Xml Schemas And Computer Language Copyright: Filling In The Blanks In Blank Esperanto, Douglas E. Phillips

Journal of Intellectual Property Law

No abstract provided.


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