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Rotating Scatter Mask Optimization For Gamma Source Direction Identification, Darren E. Holland, James E. Blevins, Larry W. Burggraf, Buckley E. O'Day 2018 Cedarville University

Rotating Scatter Mask Optimization For Gamma Source Direction Identification, Darren E. Holland, James E. Blevins, Larry W. Burggraf, Buckley E. O'Day

Engineering and Computer Science Faculty Publications

Rotating scattering masks have shown promise as an inexpensive, lightweight method with a large field-of-view for identifying the direction of a gamma emitting source or sources. However, further examination of the current rotating scattering mask design shows that changing the geometry may improve the identification by reducing or eliminating degenerate solutions and lower required count times. These changes should produce more linearly independent characteristics for the mask, resulting in a decrease in the mis-identification probability. Three approaches are introduced to generate alternative mask geometries. The eigenvector method uses a spring–mass system to create a geometry basis. The binary approach ...


Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo 2018 The Graduate Center, City University of New York

Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo

All Dissertations, Theses, and Capstone Projects

We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single camera moving in an unfamiliar environment. The visual odometry (VO) task -- as it is called when using computer vision to estimate egomotion -- is of particular interest to mobile robots as well as humans with visual impairments. The payload capacity of small robots like micro-aerial vehicles (drones) requires the use of portable perception equipment, which is constrained by size, weight, energy consumption, and processing power. Using a single camera as the passive sensor for the VO task satisfies these requirements, and it motivates the proposed solutions ...


On-Chip Studies Of Magnetic Stimulation Effect On Single Neural Cell Viability And Proliferation On Glass And Nanoporous Surfaces, Xiangchen Che, Joseph Boldrey, Xiaojing Zhong, Shalini Unnikandam-Veettil, Ian C. Schneider, David C. Jiles, Long Que 2018 Iowa State University

On-Chip Studies Of Magnetic Stimulation Effect On Single Neural Cell Viability And Proliferation On Glass And Nanoporous Surfaces, Xiangchen Che, Joseph Boldrey, Xiaojing Zhong, Shalini Unnikandam-Veettil, Ian C. Schneider, David C. Jiles, Long Que

Chemical and Biological Engineering Publications

Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique, an FDA-approved treatment method for various neurological disorders such as depressive disorder, Parkinson’s disease, post-traumatic stress disorder, and migraine. However, information concerning the molecular/cellular-level mechanisms of neurons under magnetic simulation (MS), particularly at the single neural cell level, is still lacking, resulting in very little knowledge of the effects of MS on neural cells. In this paper, the effects of MS on the behaviors of neural cell N27 at the single-cell level on coverslip glass substrate and anodic aluminum oxide (AAO) nanoporous substrate are reported for the first time ...


An Iot System For Converting Handwritten Text To Editable Format Via Gesture Recognition, Nidhi patel 2018 Kennesaw State University

An Iot System For Converting Handwritten Text To Editable Format Via Gesture Recognition, Nidhi Patel

Master of Science in Computer Science Theses

Evaluation of traditional classroom has led to electronic classroom i.e. e-learning. Growth of traditional classroom doesn’t stop at e-learning or distance learning. Next step to electronic classroom is a smart classroom. Most popular features of electronic classroom is capturing video/photos of lecture content and extracting handwriting for note-taking. Numerous techniques have been implemented in order to extract handwriting from video/photo of the lecture but still the deficiency of few techniques can be resolved, and which can turn electronic classroom into smart classroom.

In this thesis, we present a real-time IoT system to convert handwritten text into ...


Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen 2018 Purdue University

Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen

The Summer Undergraduate Research Fellowship (SURF) Symposium

Road defects such as potholes, humps, and road cracks have become one of the main concerns for road and traffic safety worldwide. Pavement defect detection is crucial to ensure road safety. However, current solutions to this problem are either too time-consuming or too expensive to be employed large-scale. We propose a novel approach which has the ability to autonomously detect potholes in real-time using cost-effective sensors. Inexpensive sensors are mounted on a vehicle and a deep learning algorithm is used to identify road defects. The detection system is paired with a GPS and positional sensors to map the location of ...


Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri 2018 Purdue University

Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri

The Summer Undergraduate Research Fellowship (SURF) Symposium

Microscale devices can be found in applications ranging from sensors to structural components. The dominance of surface forces at the microscale hinders the assembly processes through nonlinear interactions that are difficult to model for automation, limiting designs of microsystems to primarily monolithic structures. Methods for modeling surface forces must be presented for viable manufacturing of devices consisting of multiple microparts. This paper proposes the implementation of supervised machine learning models to aid in automated micromanipulation tasks for advanced manufacturing applications. The developed models use sets of training data to implicitly model surface interactions and predict end-effector placement and paths that ...


Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin 2018 Purdue University

Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin

The Summer Undergraduate Research Fellowship (SURF) Symposium

With the increasing amount of information stored, there is a need for efficient database algorithms. One of the most important database operations is “join”. This involves combining columns from two tables and grouping common values in the same row in order to minimize redundant data. The two main algorithms used are hash join and sort merge join. Hash join builds a hash table to allow for faster searching. Sort merge join first sorts the two tables to make it more efficient when comparing values. There has been a lot of debate over which approach is superior. At first, hash join ...


Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor 2018 Purdue University

Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor

The Summer Undergraduate Research Fellowship (SURF) Symposium

There is a global lack of a means for monitoring air pollutant levels at a local level due to expensive and bulky instrument requirements. It is important to monitor toxic gas levels, as well as particulate matter levels, in the atmosphere to study their effects on human health and to further develop city- and community-level air pollution solutions. In this study, with the means of a Raspberry Pi, low-cost Alphasense Optical Particle Counter and gas sensors, and methodical calibration techniques, we built a portable 3-D printed module powered by clean electricity generated by an on-board Voltaic solar cell that measures ...


Investigating Dataset Distinctiveness, Andrew Ulmer, Kent W. Gauen, Yung-Hsiang Lu, Zohar R. Kapach, Daniel P. Merrick 2018 Purdue University

Investigating Dataset Distinctiveness, Andrew Ulmer, Kent W. Gauen, Yung-Hsiang Lu, Zohar R. Kapach, Daniel P. Merrick

The Summer Undergraduate Research Fellowship (SURF) Symposium

Just as a human might struggle to interpret another human’s handwriting, a computer vision program might fail when asked to perform one task in two different domains. To be more specific, visualize a self-driving car as a human driver who had only ever driven on clear, sunny days, during daylight hours. This driver – the self-driving car – would inevitably face a significant challenge when asked to drive when it is violently raining or foggy during the night, putting the safety of its passengers in danger. An extensive understanding of the data we use to teach computer vision models – such as ...


Deep Neural Network Architectures For Modulation Classification Using Principal Component Analysis, Sharan Ramjee, Shengtai Ju, Diyu Yang, Aly El Gamal 2018 Purdue University

Deep Neural Network Architectures For Modulation Classification Using Principal Component Analysis, Sharan Ramjee, Shengtai Ju, Diyu Yang, Aly El Gamal

The Summer Undergraduate Research Fellowship (SURF) Symposium

In this work, we investigate the application of Principal Component Analysis to the task of wireless signal modulation recognition using deep neural network architectures. Sampling signals at the Nyquist rate, which is often very high, requires a large amount of energy and space to collect and store the samples. Moreover, the time taken to train neural networks for the task of modulation classification is large due to the large number of samples. These problems can be drastically reduced using Principal Component Analysis, which is a technique that allows us to reduce the dimensionality or number of features of the samples ...


Virtual Reality For Baseball Batting, Fengchen Gong, Tianjie Jia, Hong Tan, Casey Kohr 2018 Purdue University

Virtual Reality For Baseball Batting, Fengchen Gong, Tianjie Jia, Hong Tan, Casey Kohr

The Summer Undergraduate Research Fellowship (SURF) Symposium

Nowadays, researchers explore the applications of Virtual Reality in different aspects of people’s lives. A few studies of Virtual Reality focus on applications in sports training. In this research area, one of the most important benefits is that athletes can focus on the training of one specific skill at one time. This SURF project focuses on the development of the virtual reality environment by designing targeted training for baseball batters, with the goal to achieve sufficient realism as judged by the Purdue baseball coaches. With the Virtual Reality training, baseball batters can practice and perfect a specific skill without ...


Remote Sensing Using I-Band And S-Band Signals Of Opportunity, Kadir Efecik, Benjamin R. Nold, James L. Garrison 2018 Purdue University

Remote Sensing Using I-Band And S-Band Signals Of Opportunity, Kadir Efecik, Benjamin R. Nold, James L. Garrison

The Summer Undergraduate Research Fellowship (SURF) Symposium

Measurement of soil moisture, especially the root zone soil moisture, is important in agriculture, meteorology, and hydrology. Root zone soil moisture is concerned with the first meter down the soil. Active and passive remote sensing methods used today utilizing L-band(1-2GHz) are physically limited to a sensing depth of about 5 cm or less. To remotely sense the soil moisture in the deeper parts of the soil, the frequency should be lowered. Lower frequencies cannot be used in active spaceborne instruments because of their need for larger antennas, radio frequency interference (RFI), and frequency spectrum allocations. Ground-based passive remote sensing ...


Scaling Up An Infrastructure For Controlled Experimentation With Testing Techniques, Wayne D. Motycka 2018 University of Nebraska - Lincoln

Scaling Up An Infrastructure For Controlled Experimentation With Testing Techniques, Wayne D. Motycka

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

Software testing research often involves reproducing previous experimental results. Previous work created a repository infrastructure for containment and dissemination of testable research subjects using a private centralized storage mechanism for hosting these test subject archives. While this is a good way to store these subjects it can be inefficient when the size of subjects increases or the number of versions of the subject’s source code is large. The delivery of these large subjects from a centralized repository can be quite large and on occasion may not succeed requiring the user to repeat the download request. Coupled with the limited ...


Tackling Choke Point Induced Performance Bottlenecks In A Near-Threshold Gpgpu, Tahmoures Shabanian 2018 Utah State University

Tackling Choke Point Induced Performance Bottlenecks In A Near-Threshold Gpgpu, Tahmoures Shabanian

All Graduate Theses and Dissertations

Over the last decade, General Purpose Graphics Processing Units (GPGPUs) have garnered a substantial attention in the research community due to their extensive thread-level parallelism. GPGPUs provide a remarkable performance improvement over Central Processing Units (CPUs), for highly parallel applications. However, GPGPUs typically achieve this extensive thread-level parallelism at the cost of a large power consumption. Consequently, Near-Threshold Computing (NTC) provides a promising opportunity for designing energy-efficient GPGPUs (NTC-GPUs). However, NTC-GPUs suffer from a crucial Process Variation (PV)-inflicted performance bottleneck, which is called Choke Point. Choke Point is defined as one or small group of gates which is affected ...


Split Latency Allocator: Process Variation-Aware Register Access Latency Boost In A Near-Threshold Graphics Processing Unit, Asmita Pal 2018 Utah State University

Split Latency Allocator: Process Variation-Aware Register Access Latency Boost In A Near-Threshold Graphics Processing Unit, Asmita Pal

All Graduate Theses and Dissertations

Over the last decade, Graphics Processing Units (GPUs) have been used extensively in gaming consoles, mobile phones, workstations and data centers, as they have exhibited immense performance improvement over CPUs, in graphics intensive applications. Due to their highly parallel architecture, general purpose GPUs (GPGPUs) have gained the foreground in applications where large data blocks can be processed in parallel. However, the performance improvement is constrained by a large power consumption. Likewise, Near Threshold Computing (NTC) has emerged as an energy-efficient design paradigm. Hence, operating GPUs at NTC seems like a plausible solution to counteract the high energy consumption. This work ...


Chaotic Phase-Coded Waveforms With Space-Time Complementary Coding For Mimo Radar Applications, Sheng Hong, Fuhui Zhou, Yantao Dong, Zhixin Zhao, Yuhao Wang, Maosong Yan 2018 Nanchang University

Chaotic Phase-Coded Waveforms With Space-Time Complementary Coding For Mimo Radar Applications, Sheng Hong, Fuhui Zhou, Yantao Dong, Zhixin Zhao, Yuhao Wang, Maosong Yan

Electrical and Computer Engineering Faculty Publications

A framework for designing orthogonal chaotic phase-coded waveforms with space-time complementary coding (STCC) is proposed for multiple-input multiple-output (MIMO) radar applications. The phase-coded waveform set to be transmitted is generated with an arbitrary family size and an arbitrary code length by using chaotic sequences. Due to the properties of chaos, this chaotic waveform set has many advantages in performance, such as anti-interference and low probability of intercept. However, it cannot be directly exploited due to the high range sidelobes, mutual interferences, and Doppler intolerance. In order to widely implement it in practice, we optimize the chaotic phase-coded waveform set from ...


How Much Privacy Do We Have Today? A Study Of The Life Of Marc Mezvinsky, Miguel Mares, Salomon Gilles, Brian D. Gobran, Dan Engels 2018 Southern Methodist University

How Much Privacy Do We Have Today? A Study Of The Life Of Marc Mezvinsky, Miguel Mares, Salomon Gilles, Brian D. Gobran, Dan Engels

SMU Data Science Review

In this paper, we present a case study evaluating the level of information available about an individual through public, Internet-accessible sources. Privacy is a basic tenet of democratic society, but technological advances have made access to information and the identification of individuals much easier through Internet-accessible databases and information stores. To determine the potential level of privacy available to an individual in today’s interconnected world, we sought to develop a detailed history of Marc Mezvinsky, a semi-public figure, husband of Chelsea Clinton, and son of two former members of the United States House of Representatives. By utilizing only publicly ...


Retrieval Of Infotainment System Artifacts From Vehicles Using Ive, Celia J. Whelan, John Sammons, Brian McManus, Terry W. Fenger 2018 Marshall University

Retrieval Of Infotainment System Artifacts From Vehicles Using Ive, Celia J. Whelan, John Sammons, Brian Mcmanus, Terry W. Fenger

Journal of Applied Digital Evidence

The analysis of mobile devices and hard drives has been the focus of the digital forensics world for years, but there is another source of potential evidence not often considered: vehicles. Many of today’s “connected cars” have systems that function like computers, storing information they process including user data from devices synced to the system. There has been little to no research done regarding what types of user artifacts can be found on the system, how long these artifacts remain, whether or not the user can remove those artifacts, and whether certain systems provide more information than others. For ...


The Analysis And Deployment Of A Fully Open Monitoring System In The Sri Lankan Deduroya Basin: The 4onse Project, Massimiliano Cannata, Daniele Strigaro, Imran Shahid, Rangajeewa Ratnayake, B.H. Sudantha 2018 Institute of Earth Sciences, SUPSI-DACD, Switzerland

The Analysis And Deployment Of A Fully Open Monitoring System In The Sri Lankan Deduroya Basin: The 4onse Project, Massimiliano Cannata, Daniele Strigaro, Imran Shahid, Rangajeewa Ratnayake, B.H. Sudantha

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

The 4onse project studies non-conventional monitoring systems fully based on open technologies (hardware, standard protocols, software and data) for the management of resources and natural hazards in developing countries. After the design of hydro-meteorological stations and software for the collection, management and distribution of data, the study involves the installation of 30 stations in the Deduroya Oya river basin in Sri Lanka. The system will be analysed to fully understand the real cost of ownership, data quality and applicability in real situations. If properly validated, these systems can provide an alternative solution, effective and sustainable for the protection of property ...


Istsos Version 3, Cannata Massimiliano, Milan Antonovic, Daniele Strigaro, Mirko Cardoso 2018 University of Applied Sciences and Arts of Southern Switzerland (SUPSI)

Istsos Version 3, Cannata Massimiliano, Milan Antonovic, Daniele Strigaro, Mirko Cardoso

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

istSOS version 3 is a new full stack open source application framework that, implementing the Sensor Observation Service standard from the OGC and including some special features, offers the capability to manage and disseminate observation from sensors networks. istSOS3 has been redesigned with the mission to solve the problems of high loads environments and quality of service. After some recent researches that have shown that istSOS version 2 is not adequate to meet high demanding environment in terms of high concurrency, big data and performance, istSOS version 3 has been rewritten from ground up taking advantages from the latest technologies ...


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