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Fast On-Line Kernel Density Estimation For Active Object Localization, Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell 2017 Portland State University

Fast On-Line Kernel Density Estimation For Active Object Localization, Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell

Computer Science Faculty Publications and Presentations

A major goal of computer vision is to enable computers to interpret visual situations—abstract concepts (e.g., “a person walking a dog,” “a crowd waiting for a bus,” “a picnic”) whose image instantiations are linked more by their common spatial and semantic structure than by low-level visual similarity. In this paper, we propose a novel method for prior learning and active object localization for this kind of knowledge-driven search in static images. In our system, prior situation knowledge is captured by a set of flexible, kernel-based density estimations— a situation model—that represent the expected spatial structure of the ...


Perception Of 3d Symmetrical And Near-Symmetrical Shapes, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo 2017 Purdue University

Perception Of 3d Symmetrical And Near-Symmetrical Shapes, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo

MODVIS Workshop

No abstract provided.


Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva 2017 Florida Atlantic University

Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva

MODVIS Workshop

E-Learning is emerging as a convenient and effective learning tool. However, the challenge with eLearning is the lack of effective tools to assess levels of learning. Ability to predict difficult content in real time enables eLearning systems to dynamically provide supplementary content to meet learners’ needs. Recent developments have made possible low-cost eye trackers, which enables a new class of applications based on eye response. In comparison to past attempts using bio-metrics in learning assessments, with eye tracking, we can have access to the exact stimulus that is causing the response. A key aspect of the proposed approach is the ...


Extensible Energy Planning Framework For Preemptive Tasks, Jin Hyun Kim, Deepak Gangadharan, Oleg Sokolsky, Axel Legay, Insup Lee 2017 University of Pennsylvania

Extensible Energy Planning Framework For Preemptive Tasks, Jin Hyun Kim, Deepak Gangadharan, Oleg Sokolsky, Axel Legay, Insup Lee

Departmental Papers (CIS)

Cyber-physical systems (CSPs) are demanding energy-efficient design not only of hardware (HW), but also of software (SW). Dynamic Voltage and and Frequency Scaling (DVFS) and Dynamic Power Manage (DPM) are most popular techniques to improve the energy efficiency. However, contemporary complicated HW and SW designs requires more elaborate and sophisticated energy management and efficiency evaluation techniques. This paper is concerned about energy supply planning for real-time scheduling systems (units) of which tasks need to meet deadlines. This paper presents a modelbased compositional energy planning technique that computes a minimal ratio of processor frequency that preserves schedulability of independent and preemptive ...


Target Detection With Neural Network Hardware, Hollis Bui, Garrett Massman, Nikolas Spangler, Jalen Tarvin, Luke Bechtel, Kevin Dunn, Shawn Bradford 2017 University of Tennessee, Knoxville

Target Detection With Neural Network Hardware, Hollis Bui, Garrett Massman, Nikolas Spangler, Jalen Tarvin, Luke Bechtel, Kevin Dunn, Shawn Bradford

University of Tennessee Honors Thesis Projects

No abstract provided.


Detection Of Plant Emergence Based On Spatio Temporal Image Sequence Analysis, Bhushit Agarwal 2017 University of Nebraska-Lincoln

Detection Of Plant Emergence Based On Spatio Temporal Image Sequence Analysis, Bhushit Agarwal

Computer Science and Engineering: Theses, Dissertations, and Student Research

The phenome of a plant is the sum of all observable phenotypes for that plant. Phenotypes are observable characteristics or traits of a plant. These traits generally reflect a combination of influences from the genotype of the plant and the environment in which the plant has grown and developed. Collecting phenotypic data has traditionally been a slow and costly manual process, albeit one highly necessary for plant breeding and the development of improved agronomic practices. As a result automated methods for plant phenotyping analysis have become an active research field in recent years. Image-based plant phenotyping analysis facilitates extraction of ...


Sae Baja Data Acquisition System, Ryan Carl, Ryan Rose, Gabe Sevigny, Nathanael Smith 2017 Olivet Nazarene University

Sae Baja Data Acquisition System, Ryan Carl, Ryan Rose, Gabe Sevigny, Nathanael Smith

Scholar Week 2016 - present

The Olivet Nazarene University SAE Baja team designs a custom off-road vehicle every year to compete against teams from other schools at competitions throughout the year. The current car that the Baja team is working on needs some improvements, but they need some help gathering data to see where to make these improvements. In previous years, the Baja team would not have any feedback besides what they observed while driving, so this year they have tasked the SAE Baja Data Acquisition design group with the project of creating a sensor system and a data logging program to gather information that ...


Augmented Reality Technician Assistance Program, Jackson W. Volante, Kidron R. Filbrun, Jeffrey T. Deane, Andrew T. Carr, Nathan A. Harold, Daniel J. Eckley 2017 Cedarville University

Augmented Reality Technician Assistance Program, Jackson W. Volante, Kidron R. Filbrun, Jeffrey T. Deane, Andrew T. Carr, Nathan A. Harold, Daniel J. Eckley

The Research and Scholarship Symposium

The Augmented Reality Technician Assistance Program is a proof-of-concept project for allowing a remote expert to communicate with and assist a field technician in completing procedures with which the technician may be unfamiliar. For example, an expert in Navy aircraft maintenance could advise an Air Force flight mechanic about performing repairs or maintenance on Navy aircraft. The end goal of our Cedarville computer science capstone project is to create an experimental prototype to deliver to the Air Force Research Laboratory. In our prototype the expert uses a Microsoft Surface Pro tablet to communicate via marked up still images with a ...


Cusigns: A Dynamic Solution For Digital Signage, Jonathan Easterday, Wesley Kelly, Todd Landis, Nicole D. Perez 2017 Cedarville University

Cusigns: A Dynamic Solution For Digital Signage, Jonathan Easterday, Wesley Kelly, Todd Landis, Nicole D. Perez

The Research and Scholarship Symposium

Cedarville University has computer monitors located throughout campus in order to show advertisements and important information to students, faculty, and staff. The slides shown on these displays are scheduled using Concerto: web-based software which manages digital signage. Though the Concerto software is currently used to manage digital signage, Cedarville University’s IT department desires features which Concerto does not provide, including the ability to play videos, a better slide randomization algorithm, emergency broadcasting features, and an intuitive user interface. We have created a new solution for digital signage called CUSigns with the goal of providing the existing functionality of Concerto ...


"Horse," A Composition For Solo Snare Drum And Live Electronics, Zachary Benator 2017 Georgia State University

"Horse," A Composition For Solo Snare Drum And Live Electronics, Zachary Benator

Georgia State Undergraduate Research Conference

No abstract provided.


Who R U? Identity Theft And Unl Students, Marcia L. Dority Baker, Cheryl O'Dell 2017 University of Nebraska-Lincoln

Who R U? Identity Theft And Unl Students, Marcia L. Dority Baker, Cheryl O'Dell

Publications from Information Technology Services

How can academic institutions help educate their students about the risks of identity theft? Or teach students to better understand how one’s online presence can hold so much joy and angst? For one campus, the University of Nebraska–Lincoln, the opportunity came from a middle school teacher engaging his students in a future problem-solving activity. UNL had the opportunity to create a 45-minute presentation on identity theft for local public school students who would be spending the day on campus researching this topic.

While preparing the presentation, we realized a top 10 list on identity theft for UNL students ...


A Usability Study For Electronic Flight Bag (Efb) Flight Planning Applications On Tablet Devices For Ab-Initio Pilots, Jeff Schwartzentruber 2017 Seneca College of Applied Arts and Technology

A Usability Study For Electronic Flight Bag (Efb) Flight Planning Applications On Tablet Devices For Ab-Initio Pilots, Jeff Schwartzentruber

International Journal of Aviation, Aeronautics, and Aerospace

The proliferation of mobile technology has prompted the use of tablet devices in the cockpit and during ground operations in general aviation. Due to the increase in affordable and reliable hardware (i.e. iPads etc.), the development of pilot-specific software has led to the creation of a commercial-of-the-shelf (COTS), electronic flight bag (EFB) market. EFBs have many advantages, such as reducing the space requirements for flight documents, enabling faster searching and indexing of files, providing useful tools for flight planning, and providing automatic updates. The increase in availability of mobile technology and flight applications has allowed general aviation enthusiast and ...


Propagating Degrees Of Truth On An Argumentation Framework: An Abstract Account Of Fuzzy Argumentation, Pierpaolo Dondio 2017 Dublin Institute of Technology

Propagating Degrees Of Truth On An Argumentation Framework: An Abstract Account Of Fuzzy Argumentation, Pierpaolo Dondio

Conference papers

This paper proposes a computational framework to reason with conflicting and gradual evidence. The framework is a synthesis of Dung’s seminal work in argumentation semantics with multi-valued logic. Abstract grounded semantics is used to identify the conditions under which a conclusion can be accepted, while multi-valued logic operators are used to quantify the degree of truth of such conditions. We propose a truth-compositional recursive computation based on the notion of irrelevant arguments, and we discuss examples using the major multi-valued logics: Godel’s, Zadeh’s and Łukasiewicz's logic.


Automatic Verification Of Finite Precision Implementations Of Linear Controllers, Junkil Park, Miroslav Pajic, Oleg Sokolsky, Insup Lee 2017 University of Pennsylvania

Automatic Verification Of Finite Precision Implementations Of Linear Controllers, Junkil Park, Miroslav Pajic, Oleg Sokolsky, Insup Lee

Departmental Papers (CIS)

We consider the problem of verifying finite precision implementation of linear time-invariant controllers against mathematical specifications. A specification may have multiple correct implementations which are different from each other in controller state representation, but equivalent from a perspective of input-output behavior (e.g., due to optimization in a code generator). The implementations may use finite precision computations (e.g. floating-point arithmetic) which cause quantization (i.e., roundoff) errors. To address these challenges, we first extract a controller's mathematical model from the implementation via symbolic execution and floating-point error analysis, and then check approximate input-output equivalence between the extracted model ...


Vcat: Dynamic Cache Management Using Cat Virtualization, Meng Xu, Linh T.X. Phan, Hyon-Young Choi, Insup Lee 2017 University of Pennsylvania

Vcat: Dynamic Cache Management Using Cat Virtualization, Meng Xu, Linh T.X. Phan, Hyon-Young Choi, Insup Lee

Departmental Papers (CIS)

This paper presents vCAT, a novel design for dynamic shared cache management on multicore virtualization platforms based on Intel’s Cache Allocation Technology (CAT). Our design achieves strong isolation at both task and VM levels through cache partition virtualization, which works in a similar way as memory virtualization, but has challenges that are unique to cache and CAT. To demonstrate the feasibility and benefits of our design, we provide a prototype implementation of vCAT, and we present an extensive set of microbenchmarks and performance evaluation results on the PARSEC benchmarks and synthetic workloads, for both static and dynamic allocations. The ...


Resilient Linear Classification: An Approach To Deal With Attacks On Training Data, Sangdon Park, James Weimer, Insup Lee 2017 University of Pennsylvania

Resilient Linear Classification: An Approach To Deal With Attacks On Training Data, Sangdon Park, James Weimer, Insup Lee

Departmental Papers (CIS)

Data-driven techniques are used in cyber-physical systems (CPS) for controlling autonomous vehicles, handling demand responses for energy management, and modeling human physiology for medical devices. These data-driven techniques extract models from training data, where their performance is often analyzed with respect to random errors in the training data. However, if the training data is maliciously altered by attackers, the effect of these attacks on the learning algorithms underpinning data-driven CPS have yet to be considered. In this paper, we analyze the resilience of classification algorithms to training data attacks. Specifically, a generic metric is proposed that is tailored to measure ...


Reducing Graphene-Metal Contact Resistance Via Laser Nano-Welding, Kamran Keramatnejad, H. Rabiee Golgir, Y. S. Zhou, D. W. Li, X. Huang, Yongfeng Lu 2017 University of Nebraska-Lincoln

Reducing Graphene-Metal Contact Resistance Via Laser Nano-Welding, Kamran Keramatnejad, H. Rabiee Golgir, Y. S. Zhou, D. W. Li, X. Huang, Yongfeng Lu

Theses, Dissertations, and Student Research from Electrical & Computer Engineering

The large graphene-metal contact resistance is a major limitation for development of graphene electronics. graphene behaves as an insulator for out-of-plane carrier transport to metallic contacts.

Laser nano-welding was developed and led to RC reductions of up to 84%.

Localized laser irradiation at the edges of graphene led to the formation of chemically active point defects.

Precise structural modifications and formation of G-M bonding led to improved carrier efficiency in graphene devices.


Physiologically-Aware Communication Architecture For Transmission Of Biomedical Signals In Basns For Emerging Iot Applications, Jose Santos, Dongming Peng, Hamid Sharif 2017 University of Nebraska-Lincoln

Physiologically-Aware Communication Architecture For Transmission Of Biomedical Signals In Basns For Emerging Iot Applications, Jose Santos, Dongming Peng, Hamid Sharif

Theses, Dissertations, and Student Research from Electrical & Computer Engineering

This research work proposes a novel physiologicallyaware communication architecture for the transmission of biomedical signals in BASNs (Body Area Sensor Networks) and wearables for emerging IoT applications. The architecture to fulfill the following objectives:

• Reduce volume of biomedical data in IoT networks and Internet infrastructure.

• Minimize the required computational load of biomedical data on the cloud side.

• Extend the lifetime of the mobile wearable/BASN through improved energy savings.

This architecture is generalizable to class of biomedical signals. It prevents large volume of biomedical data to be generated; uses patient state to control almost any system parameter; achieves significant energy ...


Research Poster.Pdf, Desiree Dominguez 2017 University of Central Florida

Research Poster.Pdf, Desiree Dominguez

Desiree Dominguez

Analyzing Wi-Fi probe request is essential for public safety and search and rescue missions. In this paper, we studied how Wi-Fi-probe requests are affected by different materials such as cloth, plastic, concrete, and metal when captured by Unmanned Aerial Serial (UAS) when having an attached a Wi-Fi Pineapple Tetra. Leaving the mobile devices active and setting them in a random position in an open zoned grid, the drone flying a mapping mission captured the Wi-Fi probe requests to determine the effect these materials have on the transmission of Wi-Fi probe requests. Through this method, the location of the Android Smartphones ...


Shift-Symmetric Configurations In Two-Dimensional Cellular Automata: Irreversibility, Insolvability, And Enumeration, Peter Banda, John S. Caughman IV, Martin Cenek, Christof Teuscher 2017 University of Luxembourg

Shift-Symmetric Configurations In Two-Dimensional Cellular Automata: Irreversibility, Insolvability, And Enumeration, Peter Banda, John S. Caughman Iv, Martin Cenek, Christof Teuscher

Mathematics and Statistics Faculty Publications and Presentations

The search for symmetry as an unusual yet profoundly appealing phenomenon, and the origin of regular, repeating configuration patterns have been for a long time a central focus of complexity science, and physics.

Here, we introduce group-theoretic concepts to identify and enumerate the symmetric inputs, which result in irreversible system behaviors with undesired effects on many computational tasks. The concept of so-called configuration shift-symmetry is applied on two-dimensional cellular automata as an ideal model of computation. The results show the universal insolvability of “non-symmetric” tasks regardless of the transition function. By using a compact enumeration formula and bounding the number ...


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