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Analysis Of Various Classification Techniques For Computer Aided Detection System Of Pulmonary Nodules In Ct, Barath Narayanan Narayanan, Russell C. Hardie, Temesguen Messay 2017 University of Dayton

Analysis Of Various Classification Techniques For Computer Aided Detection System Of Pulmonary Nodules In Ct, Barath Narayanan Narayanan, Russell C. Hardie, Temesguen Messay

Russell C. Hardie

Lung cancer is the leading cause of cancer death in the United States. It usually exhibits its presence with the formation of pulmonary nodules. Nodules are round or oval-shaped growth present in the lung. Computed Tomography (CT) scans are used by radiologists to detect such nodules. Computer Aided Detection (CAD) of such nodules would aid in providing a second opinion to the radiologists and would be of valuable help in lung cancer screening. In this research, we study various feature selection methods for the CAD system framework proposed in FlyerScan. Algorithmic steps of FlyerScan include (i) local contrast enhancement (ii ...


On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging, Russell C. Hardie, Daniel A. LeMaster 2017 University of Dayton

On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging, Russell C. Hardie, Daniel A. Lemaster

Russell C. Hardie

We describe a numerical wave propagation method for simulating long range imaging of an extended scene under anisoplanatic conditions. Our approach computes an array of point spread functions (PSFs) for a 2D grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. To validate the simulation we compare simulated outputs with the theoretical anisoplanatic tilt correlation and differential tilt variance. This is in addition to comparing the long- and short-exposure PSFs, and isoplanatic angle. Our validation analysis shows an ...


Recursive Non-Local Means Filter For Video Denoising With Poisson-Gaussian Noise, Redha A. Almahdi, Russell C. Hardie 2017 University of Dayton

Recursive Non-Local Means Filter For Video Denoising With Poisson-Gaussian Noise, Redha A. Almahdi, Russell C. Hardie

Russell C. Hardie

In this paper, we describe a new recursive Non-Local means (RNLM) algorithm for video denoising that has been developed by the current authors. Furthermore, we extend this work by incorporating a Poisson-Gaussian noise model. Our new RNLM method provides a computationally efficient means for video denoising, and yields improved performance compared with the single frame NLM and BM3D benchmarks methods. Non-Local means (NLM) based methods of denoising have been applied successfully in various image and video sequence denoising applications. However, direct extension of this method from 2D to 3D for video processing can be computationally demanding. The RNLM approach takes ...


Comparing Multiple Turbulence Restoration Algorithms Performance On Noisy Anisoplanatic Imagery, Michael Armand Rucci, Russell C. Hardie, Alexander J. Dapore 2017 Air Force Research Laboratory

Comparing Multiple Turbulence Restoration Algorithms Performance On Noisy Anisoplanatic Imagery, Michael Armand Rucci, Russell C. Hardie, Alexander J. Dapore

Russell C. Hardie

In this paper, we compare the performance of multiple turbulence mitigation algorithms to restore imagery degraded by atmospheric turbulence and camera noise. In order to quantify and compare algorithm performance, imaging scenes were simulated by applying noise and varying levels of turbulence. For the simulation, a Monte-Carlo wave optics approach is used to simulate the spatially and temporally varying turbulence in an image sequence. A Poisson-Gaussian noise mixture model is then used to add noise to the observed turbulence image set. These degraded image sets are processed with three separate restoration algorithms: Lucky Look imaging, bispectral speckle imaging, and a ...


Liquefied Natural Gas (Lng) As A Marine Fuel: Optimising The Associated Infrastructure In The Baltic Sea Region, Dimitrios Dalaklis DD, Josefin Madjidian jam, Aykut I. Ölçer AIO, Fabio Ballini FB, Momoko Kitada MK 2017 World Maritime University

Liquefied Natural Gas (Lng) As A Marine Fuel: Optimising The Associated Infrastructure In The Baltic Sea Region, Dimitrios Dalaklis Dd, Josefin Madjidian Jam, Aykut I. Ölçer Aio, Fabio Ballini Fb, Momoko Kitada Mk

Conference papers

International and national policies and regulations call for faster transition to sustainable energy production and use. Within the shipping industry one way forward is the use of LNG. Despite being of fossil origin LNG is considered to be an important step towards cleaner shipping given the better properties of the exhausts. The Go LNG initiative is focused on the development of demand and accessibility of LNG in the Baltic Sea Region (BSR). Activities associated with this strategic-in-nature project aim to promote the implementation of EU’s Clean Fuel Strategy and boost LNG usage through the whole transport chain. This paper ...


Engineered, Spatially Varying Isothermal Holds: Enabling Combinatorial Studies Of Temperature Effects, As Applied To Metastable Titanium Alloy Β-21s, Brian Martin, Peyman Samimi, Peter C. Collins 2017 Iowa State University

Engineered, Spatially Varying Isothermal Holds: Enabling Combinatorial Studies Of Temperature Effects, As Applied To Metastable Titanium Alloy Β-21s, Brian Martin, Peyman Samimi, Peter C. Collins

Peter Collins

A novel method to systematically vary temperature and thus study the resulting microstructure of a material is presented. This new method has the potential to be used in a combinatorial fashion, allowing the rapid study of thermal holds on microstructures to be conducted. This is demonstrated on a beta titanium alloy, where the thermal history has a strong effect on microstructure. It is informed by simulation and executed using the resistive heating capabilities of a Gleeble 3800 thermomechanical simulator. Spatially varying isothermal holds of 4 h were affected, where the temperature range of the multiple isothermal holds varied by ~175 ...


A Brief Review On Leading Big Data Models, Sugam Sharma, Udoyara S. Tim, Johnny S. Wong, Shashi Gadia, Subhash Sharma 2017 Iowa State University

A Brief Review On Leading Big Data Models, Sugam Sharma, Udoyara S. Tim, Johnny S. Wong, Shashi Gadia, Subhash Sharma

Sugam Sharma

Today, science is passing through an era of transformation, where the inundation of data, dubbed data deluge is influencing the decision making process. The science is driven by the data and is being termed as data science. In this internet age, the volume of the data has grown up to petabytes, and this large, complex, structured or unstructured, and heterogeneous data in the form of “Big Data” has gained significant attention. The rapid pace of data growth through various disparate sources, especially social media such as Facebook, has seriously challenged the data analytic capabilities of traditional relational databases. The velocity ...


Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala 2017 Iowa State University

Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala

Sugam Sharma

The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of the ...


Degrees Of Freedom Region For An Interference Network With General Message Demands, Lei Ke, Aditya Ramamoorthy, Zhengdao Wang, Huarui Yin 2017 Qualcomm, Inc.

Degrees Of Freedom Region For An Interference Network With General Message Demands, Lei Ke, Aditya Ramamoorthy, Zhengdao Wang, Huarui Yin

Zhengdao Wang

We consider a single hop interference network with K transmitters, each with an independent message and J receivers, all having the same number (M) of antennas. Each receiver requests an arbitrary subset of the messages. This generalizes the well-known K user M antenna interference channel, where each message is requested by a unique receiver. For this setup, we derive the exact degrees of freedom (DoF) region. Our achievability scheme generalizes the interference alignment scheme proposed by Cadambe and Jafar '08. In particular, we achieve general points in the DoF region by using multiple base vectors and aligning the interference at ...


Degrees Of Freedom Region For An Interference Network With General Message Demands, Lei Ke, Aditya Ramamoorthy, Zhengdao Wang, Huarui Yin 2017 Qualcomm, Inc.

Degrees Of Freedom Region For An Interference Network With General Message Demands, Lei Ke, Aditya Ramamoorthy, Zhengdao Wang, Huarui Yin

Zhengdao Wang

We consider a single-hop interference network with K transmitters and J receivers, all having M antennas. Each transmitter emits an independent message and each receiver requests an arbitrary subset of the messages. This generalizes the well-known K -user M-antenna interference channel, where each message is requested by a unique receiver. For our setup, we derive the degrees of freedom (DoF) region. The achievability scheme generalizes the interference alignment schemes proposed by Cadambe and Jafar. In particular, we achieve general points in the DoF region by using multiple base vectors and aligning all interferers at a given receiver to the interferer ...


Neural Networks Skin Tumor Diagnostic System, Zhao Zhang, William V. Stoecker, Randy Hays Moss 2017 Missouri University of Science and Technology

Neural Networks Skin Tumor Diagnostic System, Zhao Zhang, William V. Stoecker, Randy Hays Moss

Zhao Zhang

In this study, a malignant melanoma diagnostic system is designed using a straightforward neural network with the back-propagation learning algorithm. Eleven features are automatically extracted from skin tumor images. The correct diagnostic rate of this system is better than the average rate of 16 dermatologists who based their diagnosis with only the slide images.


A Novel Morphological Operator To Calculate Euler Number, Zhao Zhang, Randy Hays Moss, William V. Stoecker 2017 Missouri University of Science and Technology

A Novel Morphological Operator To Calculate Euler Number, Zhao Zhang, Randy Hays Moss, William V. Stoecker

Zhao Zhang

This paper introduces a novel morphological operator to calculate the Euler number for binary images. The operator is based on the condition of eight-connectedness for foreground and four-connectedness for background. It is significantly faster than the previous operators. The morphological operations used in border detection are discussed


On Non-Cooperative Multiple-Target Tracking With Wireless Sensor Networks, Ye Zhu, A. Vikram, Huirong Fu, Yong Guan 2017 Cleveland State University

On Non-Cooperative Multiple-Target Tracking With Wireless Sensor Networks, Ye Zhu, A. Vikram, Huirong Fu, Yong Guan

Yong Guan

In this paper, we propose an approach to track multiple non-cooperative targets with wireless sensor networks. Most existing tracking algorithms can not be directly applied to non-cooperative target tracking because they assume the access to signals from individual targets for tracking by assuming that: 1) there is only one target in a field; 2) signals from different co-operative targets can be differentiated; or 3) interference caused by signals from other targets is negligible because of attenuation. We propose a general approach for tracking non-cooperative targets. The tracking algorithm first separates the aggregate signals from multiple indistinguishable targets via the blind ...


Formalization Of Matrix Theory In Hol4, Zhiping Shi, Yan Zhang, Zhenke Liu, Xinan Kang, Yong Guan, Jie Zhang, Xiaoyu Song 2017 Chinese Academy of Sciences

Formalization Of Matrix Theory In Hol4, Zhiping Shi, Yan Zhang, Zhenke Liu, Xinan Kang, Yong Guan, Jie Zhang, Xiaoyu Song

Yong Guan

Matrix theory plays an important role in modeling linear systems in engineering and science. To model and analyze the intricate behavior of complex systems, it is imperative to formalize matrix theory in a metalogic setting. This paper presents the higherorder logic (HOL) formalization of the vector space and matrix theory in the HOL4 theorem proving system. Formalized theories include formal definitions of real vectors and matrices, algebraic properties, and determinants, which are verified in HOL4. Two case studies, modeling and verifying composite two-port networks and state transfer equations, are presented to demonstrate the applicability and effectiveness of our work.


Image Descriptors From Convnets: Comparing Global Pooling Methods For Image Retrieval, Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang 2017 University of Wollongong

Image Descriptors From Convnets: Comparing Global Pooling Methods For Image Retrieval, Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang

Yan Zhao

2016 IEEE.A major component of a generic image retrieval pipeline is producing concise and effective descriptors for each image. Previous works have shown impressive results in image retrieval when using descriptors from the black-box output of the fully-connected stage of pretrained Convolutional Neural Networks (ConvNets). However, previous work on descriptors pooled from the deep feature maps from late convolutional layers can produce more discriminative descriptors for generic image retrieval, while being relatively concise. When planning to globally pool such feature maps from a ConvNet, some options to consider are (1) the depth of the network, (2) choice of layer ...


Function And Biodegradation In Soil Of Bioplastic Horticultural Containers Made Of Pla-Biorestm Composites, James Schrader, Kenneth McCabe, William Graves, David Grewell 2017 Iowa State University

Function And Biodegradation In Soil Of Bioplastic Horticultural Containers Made Of Pla-Biorestm Composites, James Schrader, Kenneth Mccabe, William Graves, David Grewell

William R Graves

Container-crops horticultural industries rely almost exclusively on petroleum-based plastic containers for modern production systems. Containers made of these materials fulfill all of the functions required during crop production, and perform better than containers made of clay, peat, and other natural materials, but the source of the plastic materials (fossil carbon), their lack of biodegradability, and their end-of-life disposal (97% end up in landfills) are major obstacles to sustainability. Although function and efficiency are among the most important aspects in determining the best materials for horticultural containers, there is no need for containers to persist in the environment for decades when ...


Probability Of Detection In Structural Health Monitoring, William Q. Meeker 2017 Iowa State University

Probability Of Detection In Structural Health Monitoring, William Q. Meeker

William Q Meeker

Structural Health Monitoring (SHM) is being proposed to replace traditional scheduled NDE inspections. This is raising questions about how to quantify Probability of Detection (POD) and whether the POD statistical methods of MIL-HDBK 1823 can still be used. The answer depends on the application, the nature of the SHM information, and how that information is mapped into a detect/not-detect decision. This talk will outline some of the issues involved in characterizing POD for different kinds of SHM applications.


A Wrf Ensemble For Improved Wind Speed Forecasts At Turbine Height, Adam J. Deppe, William A. Gallus Jr., Eugene S. Takle 2017 Iowa State University

A Wrf Ensemble For Improved Wind Speed Forecasts At Turbine Height, Adam J. Deppe, William A. Gallus Jr., Eugene S. Takle

William A. Gallus Jr.

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with different planetary boundary layer (PBL) schemes showed little spread among the individual ensemble members for forecasting wind speed. A second configuration using three random perturbations of the Global Forecast System model produced more spread in the wind speed forecasts, but the ensemble mean possessed a higher mean absolute error (MAE). A third ensemble of different initialization times showed larger model spread, but ...


Graduated Stress Exposure Of Spaceflight Hazards In A Virtual Environment, Tor Finseth, Nir Keren, Warren D. Franke, Michael C. Dorneich, Clayton C. Anderson 2017 Iowa State University

Graduated Stress Exposure Of Spaceflight Hazards In A Virtual Environment, Tor Finseth, Nir Keren, Warren D. Franke, Michael C. Dorneich, Clayton C. Anderson

Warren D Franke

Stress experienced by astronauts during high-level hazardous situations may poses risk to personnel wellbeing and to mission success. Stress inoculation training (SIT) provides individuals with experience of minor stressors and coping skills during non-critical times to enhance their resistance to stress. This study evaluates the effect of exposure to a low level stressor on physiological response and cognitive load in high level stressor setting. Simulation of fire emergency on the International Space Station (ISS) in a full-scale, immersive, interactive, 3D virtual reality environment facilitated a process for stress inoculation. The experimental settings included two groups that have been exposed to ...


Utility Of Baroreflex Sensitivity As A Marker Of Stress, Amanda A. Anderson, Nir Keren, Andrew Lilja, Kevin Godby, Stephen B. Gilbert, Warren D. Franke 2017 Iowa State University

Utility Of Baroreflex Sensitivity As A Marker Of Stress, Amanda A. Anderson, Nir Keren, Andrew Lilja, Kevin Godby, Stephen B. Gilbert, Warren D. Franke

Warren D Franke

Presently, adaptive systems use various cognitive and cardiovascular measures to evaluate the functional state of the operator. One marker that has been largely ignored as an assessment tool is baroreflex sensitivity (BRS). This study examined the extent to which BRS changed in response to acute psychological and physical stressors. A total of 20 participants underwent 6-min exposures to a psychological stressor and a physical stressor. Baroreceptor sensitivity, blood pressure, heart rate, heart rate variability, stroke volume, cardiac output, mean blood pressure, total peripheral resistance, left ventricular ejection time, and pre-ejection period were continuously measured at rest and throughout the testing ...


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