Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Haptics (2)
- Hydrogen peroxide (2)
- 3-D Reconstruction (1)
- 3-D Shape (1)
- 3D Symmetry (1)
-
- 3D shape (1)
- AC Power (1)
- ADAMS modeling (1)
- Actuator (1)
- Actuators (1)
- Animatronic (1)
- Astrocytes (1)
- Athletics (1)
- Autonomous programs (1)
- Bald (1)
- Biofouling (1)
- Bioluminescent reporter (1)
- Biosensor (1)
- Biosensors (1)
- Cavitation (1)
- Cellular peroxide release (1)
- Circuits (1)
- Cluster computing (1)
- Clustering (1)
- Coded excitation (1)
- Compact Models (1)
- Computational electrodynamics (1)
- Computer Vision (1)
- Configuration Interaction (1)
- Constrained Optimization (1)
- Publication
-
- The Summer Undergraduate Research Fellowship (SURF) Symposium (13)
- Annual ADFSL Conference on Digital Forensics, Security and Law (5)
- The 8th International Conference on Physical and Numerical Simulation of Materials Processing (4)
- MODVIS Workshop (3)
- ASA Multidisciplinary Research Symposium (2)
-
- Annual Symposium on Biomathematics and Ecology Education and Research (2)
- Human Factors and Applied Psychology Student Conference (2)
- Student Research Symposium (2)
- GS4 Georgia Southern Student Scholars Symposium (1)
- Georgia State Undergraduate Research Conference (1)
- Phi Kappa Phi Research Symposium (2012-2016) (1)
- Posters-at-the-Capitol (1)
- Science Seminar Series (1)
- The Research and Scholarship Symposium (2013-2019) (1)
- Undergraduate Research Symposium (1)
Articles 31 - 40 of 40
Full-Text Articles in Engineering
Figure-Ground Organization Using 3d Symmetry, Aaron Michaux, Vijai Jayadevan, Edward Delp, Zygmunt Pizlo
Figure-Ground Organization Using 3d Symmetry, Aaron Michaux, Vijai Jayadevan, Edward Delp, Zygmunt Pizlo
MODVIS Workshop
We present a novel approach to object localization using mirror symmetry as a general purpose and biologically motivated prior. 3D symmetry leads to good segmentation because (i) almost all objects exhibit symmetry, and (ii) configurations of objects are not likely to be symmetric unless they share some additional relationship. Furthermore, psychophysical evidence suggests that the human vision system makes use symmetry in constructing 3D percepts, indicating that symmetry may be important in object localization. No general purpose approach is known for solving 3D symmetry correspondence in 2D camera images, because few invariants exist. Therefore, to test symmetry as a clustering …
An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann
An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann
MODVIS Workshop
No abstract provided.
Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon
Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon
The Research and Scholarship Symposium (2013-2019)
Motivated by high energy costs, people and organizations want to cut back on their energy consumption. However, the only feedback consumers typically receive is a monthly bill listing their total electricity usage (in kWh). Some companies have begun developing systems that allow households and organizations to monitor their energy usage for individual circuits. Available systems are expensive so a CU engineering senior design team has designed, fabricated, and tested a system for use at Cedarville University. The AC power monitoring system has the ability to measure energy consumption for each individual circuit in the breaker panel, store the data, and …
Life Alert System For Vulnerable Adults Who Live Alone, Bohyun Ahn
Life Alert System For Vulnerable Adults Who Live Alone, Bohyun Ahn
Undergraduate Research Symposium
As medical technology and the standard of living have improved, the number of vulnerable adults who live alone has increased. Asking for help themselves may be impossible if they have a medical or life issue. Some accidents may go unnoticed for individuals living alone. When accidents regarding vulnerable adults occur, it may take days or weeks to become known by family or neighbors. To solve this problem, a life alert system was designed for vulnerable adults in their homes. To demonstrate the system, A fusion of different sensors were set up in a booth to detect the user’s motion over …
Autonomous Methods In The Application Of Simple Swarm Capabilities, Joseph Watt Iii
Autonomous Methods In The Application Of Simple Swarm Capabilities, Joseph Watt Iii
GS4 Georgia Southern Student Scholars Symposium
Swarm technology is a relatively new aspect to the drone industry. It involves multiple drones being able to communicate with each other and relay this back to the user. From this standpoint one operator can control all of them at once while only giving directions to one or more. This involves the use of different autonomous algorithms, similar to autopilot where programs fly the plane, that relay to one another on what adjustments to make or where to go. This idea is very useful in search and rescue operations where it might be too dangerous to insert a human. Also …
Camp: An Algorithm To Recover Sparse Signals With Unknown Clustering Pattern Using Approximate Message Passing, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Camp: An Algorithm To Recover Sparse Signals With Unknown Clustering Pattern Using Approximate Message Passing, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Student Research Symposium
Recovering clustered sparse signals with an unknown sparsity pattern for the single measurement vector (SMV) problems is considered. The notion of sparsity in this context is referred to the signals having very few non-zero elements in some known basis. In the SMV, the objective is to recover a sparse or compressible signal from a small set of linear non-adaptive measurements. The case considered in this paper is that the signal of interest is not only sparse but also has an unknown clustered pattern, which occurs in many practical situations. In this case, we propose a sparse Bayesian learning algorithm simplified …
Development Of A Habitat Monitoring System For Simulated Mars Missions, Rebecca Demarco
Development Of A Habitat Monitoring System For Simulated Mars Missions, Rebecca Demarco
Human Factors and Applied Psychology Student Conference
The developers for the Habitat Monitoring System (HMS) for the Mobile Extreme Environment Research Station (MEERS) Mission Control System (MCS) faced challenges in the design and implementation of their human machine interface. Designing a human machine interface for a diverse group of end users presents technical and design challenges for the developers. By applying human factors concepts and following the engineering process, the development team was able to produce a human machine interface that met the product requirements and satisfied their product owners. This presentation discusses the process used by the development team to create the interface for the Habitat …
Human Factors In The Development Of The Mobile Extreme Environment Research Station (Meers) Mission Control System (Mcs), Rebecca Demarco
Human Factors In The Development Of The Mobile Extreme Environment Research Station (Meers) Mission Control System (Mcs), Rebecca Demarco
Human Factors and Applied Psychology Student Conference
The developers for the MEERS MCS were required to develop a novel interface for their product. During the development of the MCS, analytical human factors methods and display principles were implemented to create the user interface. The methods and principles were also used so the MCS had a user centered design. The MCS went through several iterations of design. This presentation discusses the development process of the MEERS MCS from a human factors standpoint.
Sparse Recovery With Unknown Sparsity Pattern Via Multiple Measurement Vectors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Recovery With Unknown Sparsity Pattern Via Multiple Measurement Vectors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Student Research Symposium
In this work, we investigate finding the supports of sparse signals via multiple measurement vectors (MMVs). MMV can be thought as a collection of single measurement vectors (SMVs), in which all the SMVs share the same sparsity pattern, referred to as joint sparsity in the literature. The term sparse is referred to the signals that have very few non-zero (active) elements. The SMV problem is essentially a computational problem related to compressive sensing (CS) with the core idea of providing the possibility of measuring and representing a sparse or compressible signal from a small set of non-adaptive linear measurements. Here, …
Triad Computing, Madison Hanberry
Triad Computing, Madison Hanberry
Georgia State Undergraduate Research Conference
No abstract provided.