Physical Sciences and Mathematics Commons^™

Mavroomie: An End-To-End Architecture For Finding Compatible Roommates Based On User Preferences, Vijendra Bhogadi

Computer Science and Engineering Theses - Archive

Team Formation is widely studied in literature as a method for forming teams or groups under certain constraints. However, very few works address the aspect of collaboration while forming groups under certain constraints. Motivated by the collaborative team formation, we try to extend the problem of team formation to a general problem in the real world scenario of finding compatible roommates to share a place. There are numerous applications like “roommates.com" ,”roomiematch.com" , “Roomi” which try to find roommates based on geographical and cost factors and ignore the important human factors which can play a substantial role in finding a …

Evaluation Of Html Tag Susceptibility To Statistical Fingerprinting For Use In Censorship Evasion, Kelly Scott French

Computer Science and Engineering Theses - Archive

The ability to speak freely has always been a source of conflict between rulers and the people over which they exert power. This conflict usually takes the form of State-sponsored censorship with occasional instances of commercial efforts typically to silence criticism or squelch dissent, and people's efforts to evade such censorship. This is even more so evident in the current environment with its ever-growing number of communication technologies and platforms available to individuals around the world. If the face of efforts to control communication before it is posted or to prevent the discovery of information that exists outside of the …

Remote Patient Monitoring Using Health Bands With Activity Level Prescription, Pranay Shirolkar

Computer Science and Engineering Theses - Archive

With the advent of new commercially available consumer grade fitness and health devices, it is now possible and very common for users to obtain, store, share and learn about some of their important physiological metrics such as steps taken, heart rate, quality of sleep and skin temperature. For devices with this wearable technology, it is common to find these sensors embedded in a smart watch, or dedicated wearable wrist bands such that among other functionalities of a wearable device, it is capable of smartly assisting users about their activity levels by leveraging the fact that these devices can be, and …

Searching And Classifying Mobile Application Screenshots, Adis Kovacevic

Computer Science and Engineering Theses - Archive

Searching for a particular application layout image is a challenging task. No search provider gives an adequate method to filter the query results to the look of a mobile application. Searching for a particular style of application requires lots of manual time sifting through the results returned. Search engines such as Google are too broad and return too many unrelated results without providing sufficient filters on things like category or layout type. This paper proposes a technique that would allow the searching and classifying of mobile application screenshots based on the layout of the content, the category of the application, …

Integration Of Apache Mrql Query Language With Apache Storm Realtime Computational System, Achyut Paudel

Computer Science and Engineering Theses - Archive

The use of real time processing of data has increased in recent years with the increase of data captured by social media platforms, IOT and other big data applications. The processing of data in real time has been an important aspect of the day from finding the trends over the internet to fraud detection of in the banking transactions. Finding relevant information from large amount of data has always been a difficult problem to solve. MRQL is a query language that can be used on top of different big data platform such as Apache Hadoop, Flink, Hama, and Spark that …

Extracting And Modeling Useful Information From Videos For Supporting Continuous Queries, Manish Kumar Annappa

Computer Science and Engineering Theses - Archive

Automating video stream processing for inferring situations of interest has been an ongoing challenge. This problem is currently exacerbated by the volume of surveillance/monitoring videos generated. Currently, manual or context-based customized techniques are used for this purpose. To the best to our knowledge the attempted work in this area use a custom query language to extract data and infer simple situations from the video streams, thus adding an additional overhead to learn their query language. Objective of the work in this thesis is to develop a framework that extracts data from video streams generating a data representation such that simple …

Cell Segmentation In Cancer Histopathology Images Using Convolutional Neural Networks, Viswanathan Kavassery Rajalingam

Computer Science and Engineering Theses - Archive

Cancer, the second most dreadful disease causing large scale deaths in humans is characterized by uncontrolled growth of cells in the human body and the ability of those cells to migrate from the original site and spread to distant sites. The major proportion of deaths in cancer is due to improper primary diagnosis that raises the need for Computer Aided Diagnosis (CAD). Digital Pathology is a technique that acts as second set of eyes to radiologists in delivering expert level preliminary diagnosis for cancer patients. Cell segmentation is a challenging step in digital pathology that identifies cell regions from micro-slide …

Convolutional And Recurrent Neural Networks For Pedestrian Detection, Vivek Arvind Balaji

Computer Science and Engineering Theses - Archive

Pedestrian Detection in real time has become an interesting and a challenging problem lately. With the advent of autonomous vehicles and intelligent traffic monitoring systems, more time and money are being invested into detecting and locating pedestrians for their safety and towards achieving complete autonomy in vehicles. For the task of pedestrian detection, Convolutional Neural Networks (ConvNets) have been very promising over the past decade. ConvNets have a typical feed-forward structure and they share many properties with the visual system of the human brain. On the other hand, Recurrent Neural Networks (RNNs) are emerging as an important technique for image …

Learning Perception To Action Mapping For Functional Imitation, Bhupender Singh

Computer Science and Engineering Theses - Archive

Imitation leaning is the learning of advanced behavior whereby an agent acquires a skill by observing another's behavior while performing the same skill. The main objective of imitation learning is to make robots usable for a variety of tasks without programming them but by simply demonstrating new tasks. The power of this approach arises since end users of such robots will frequently not know how to program the robot, might not understand the dynamics and behavioral capabilities of the system, and might not know how to program these robots to get different/new tasks done. Some challenges in achieving imitation capabilities …

Cloud Merge: Heterogeneous Cloud Application Migration Using Platform As A Service, Mayank Jain

Computer Science and Engineering Theses - Archive

With the evolution of cloud service providers offering numerous services such as SaaS, IaaS, PaaS, options for enterprises to choose the best set of services under optimal costs have also increased. The migration of web applications across these heterogeneous platforms comes with ample of options to choose from, providing users the flexibility to choose the best options suiting their requirements. This process of migration must be automated to ensure the security, performance and availability, keeping the cost to be optimal while moving the application from one platform to another. A multi-tier web application will have many dependencies such as the …

Improving Memorization And Long Term Recall Of System Assigned Passwords, Jayesh Doolani

Computer Science and Engineering Theses - Archive

Systems assigned password have guaranteed robustness against guessing attacks, but they are hard to memorize. To make system assigned passwords more usable, it is of prime importance that systems that assign random password also assist users with memorization and recall. In this work, we have designed a novel technique that employs rote memorization inform of an engaging game, which is played during the account registration process. Based on prior work on chunking, we break a password into three equal chunks, and then the game helps plant those chunks in memory. We present the findings of 17 participant user-study, where we …

Residual Effects Of Nitrogen Fertilization On Soil Nitrogen Pools And Corn Growth, Meghan E. Moser

Open Access Theses

Given the dynamic nature of soil nitrogen (N), inorganic N fertilization to corn (Zea mays L.) has potential to alter N pool balance by creating an accumulation or depletion of soil N. Current corn N recommendations in the common corn-soybean rotation of Indiana strive to find the best N rate that maximizes producer profit. Increasing our understanding of soil N will inform producers if they should adjust fertilizer rates for corn to influence maintenance of organic N and Carbon. Our objective was to determine residual N effects from fertilized corn in a corn-soybean rotation by measuring (1) soil N …

Expectation Maximization-Based Likelihood Inference For Com-Poisson Cure Rate Model With Interval Censored Data, Piyachart Wiangnak

Mathematics Dissertations - Archive

A cure rate or long-term survival model is a model for survival data with the presence of a cure fraction. In this study, we consider the analysis of a cure rate model with interval-censored data, which is one of the most practical censoring scheme in survival study. A competing cause scenario has been considered and the number of competing causes is assumed to follow a flexible Conway-Maxwell Poisson (COM-Poisson) distribution which can handle both over- and under-dispersion that is usually encountered in discrete data and also includes some of the well-known discrete distributions as special cases. In addition, a logistic …

Three Dimensional Image Reconstruction (3direct) Of Sparse Signals With Mri Application, Melinda M. Au

Mathematics Dissertations - Archive

Sparse signal reconstruction has been steadily gaining tremendous attention, specifically in applications of compressed sensing as well as feature selection in signal processing methods [IEEE Signal Processing, Vol. 25 (2008) pp.21-30]. Standard techniques to solve these problems such as the nonlinear Conjugate Gradient method have been used successfully on small and medium sized problems. However, as the desire to collect more data becomes the trend, and the need to process information more quickly and reliably becomes more prevalent than before, these standard meth- ods become inadequate. In this thesis, we present a new approach for sparse signal reconstruction called the …

The Candidate Cluster And Protocluster Catalog (Ccpc). Ii. Spectroscopically Identified Structures Spanning 2 < Z < 6.6, J. R. Franck, Stacy S. Mcgaugh

Faculty Scholarship

The Candidate Cluster and Protocluster Catalog (CCPC) is a list of objects at redshifts z > 2 composed of galaxies with spectroscopically confirmed redshifts that are coincident on the sky and in redshift. These protoclusters are identified by searching for groups in volumes corresponding to the expected size of the most massive protoclusters at these redshifts. In CCPC1 we identified 43 candidate protoclusters among 14,000 galaxies between 2.74 < z < 3.71. Here we expand our search to more than 40,000 galaxies with spectroscopic redshifts z > 2.00, resulting in an additional 173 candidate structures. The most significant of these are 36 protoclusters with overdensities δ gal > 7. We also identify three large proto-supercluster candidates containing multiple protoclusters at z …

Implementation And Testing Of A Book Lookup System For The Robert E. Kennedy Library, Casey C. Sheehan

Computer Science and Software Engineering

The goal of this senior project centered around improving the quality of student and teacher experiences when visiting the library. The task of finding a book amongst the shelves is an arduous one, which I felt could be improved upon through implementation and testing of a Book Lookup system for the Cal Poly Robert E. Kennedy Library. Development for this project was done using a Python framework. Testing and earlier designs were also created using JavaScript and PHP. Repeated tests were conducted on the accuracy of the software and its ability to decrease user search-time when compared to conventional methods.

Review Classification, Balraj Aujla

Computer Science and Software Engineering

The goal of this project is to find a way to analyze reviews and determine the sentiment of a review. It uses various machine learning techniques in order to achieve its goals such as SVMs and Naive Bayes. Overall the purpose is to learn many different machine learning techniques, determine which ones would be useful for the project, then compare the results. Research is the foremost goal of the project, and it is able to determine the better algorithm for review classification, naive bayes or an SVM. In addition, an SVM which actually gave review’s scores rather than just classifying …

Elasticity Of Cylindrical Black Holes, Conrad Pearson

Physics

Black holes are regions of strong gravity, and are often regarded as behaving like drops of fluid. When this line of thought is applied to cylindrical black holes (black cylinders), a mapping can be made between known instabilities for black cylinders and ordinary fluid cylinders. However, this known correlation is increasingly less accurate for lower spatial dimensions, and I seek to correct this discrepancy in this thesis. By considering soft solids instead of pure fluids, elastic energy can be included, which brings us closer to a direct comparison. In improving this mapping, it becomes possible to better understand the behavior …

Annual Forage Cropping-Systems For Midwestern Ruminant Livestock Production, John Ernest Mcmillan

Open Access Dissertations

Annual forage cropping systems are a vital aspect of livestock forage production. One area where this production system can be enhanced is the integration of novel annual forages into conventional cropping systems. Two separate projects were conducted to investigate alternative forage options in annual forage production. In the first discussed research trial, two sets of crops were sown following soft red winter wheat (Triticum aestivum L.) grain harvest, at two nitrogen application rates 56 and 112 kg ha-1 . The first set of crops were C4 summer annuals seeded within two weeks of wheat grain harvest and included, brown …

Security Techniques For Sensor Systems And The Internet Of Things, Daniele Midi

Open Access Dissertations

Sensor systems are becoming pervasive in many domains, and are recently being generalized by the Internet of Things (IoT). This wide deployment, however, presents significant security issues.

We develop security techniques for sensor systems and IoT, addressing all security management phases. Prior to deployment, the nodes need to be hardened. We develop nesCheck, a novel approach that combines static analysis and dynamic checking to efficiently enforce memory safety on TinyOS applications. As security guarantees come at a cost, determining which resources to protect becomes important. Our solution, OptAll, leverages game-theoretic techniques to determine the optimal allocation of security resources in …

Computational Fluid Dynamics Is Key To Better Flying Aircraft, Nihad E. Daidzic

Aviation Department Publications

No abstract provided.

Intracellular Biochemical Targets Of Ruthenium Polypyridyl Complexes In Multiple Cancer Cell Models, Adam S. Dayoub

Chemistry & Biochemistry Dissertations - Archive

The ruthenium (II) polypyridyl complexes [(phen)2Ru(tatpp)Ru(phen)2]4+, RPC4 and [(phen)2Ru(tatpp)]2+, RPC3 are promising anticancer candidates due to their observed cytotoxic effect against multiple cancer cell lines. These complexes contain a reactive oxygen species (ROS) creating redox-active tetraazatetrapyridopentacene (tatpp) bridge inducing cytotoxic activity against multiple cancer lines and types. Also, they have shown a selectivity towards malignant and normal cell tissue types that are of interest in cellular biological systems and treatment care. They exhibit the ability to regress tumor growth in mouse models, cleave DNA in gel assays and exhibit efficacies in a hypoxic environment similar to that of tumors in …

Implications Of Lithofacies Association And Architecture For Low And High-Accommodation System Tracts From The Sandstone Dominated Zone ( The Barren Series) Of The Cretaceous-Paleocene Raton Formation, Trinidad, Colorado, Yaqoub Y Y S M Alsayed Alrefaei

Earth & Environmental Sciences Dissertations - Archive

The Raton Formation is an Upper Cretaceous and Lower Paleocene unit that is interpreted to be deposited in various stages of high-accommodation fluvial systems. High-accommodation flood basin deposits are generally considered poor as reservoir bodies because sand bodies within these basins are considered to be small and disconnected within flood basin mud. Accordingly, they gain less attention in oil and gas exploration and in research. High-accommodation deposits in the Raton Formation contain several sand bodies with different sizes and geometries that could be good candidates for reservoir rocks. These sand bodies are common in outcrops of high-accommodation deposits in the …

Experimental Constraints On The Micromechanics Of Brittle Fragmentation During Earthquake Rupture, Troy J. Barber

Earth & Environmental Sciences Theses - Archive

Various fault damage fabrics, from gouge in the principal slip zone, to fragmented and pulverized rocks in the fault damage zone, have been attributed to brittle deformation at high strain rates during earthquake rupture. These fault zone fabrics are significant in terms of 1) the information they contain about coseismic deformation mechanisms, 2) the role they play in dissipating energy and contributing to slip weakening during earthquake rupture, and 3) their influence on fault rock mechanical and hydraulic properties. Past experimental work has shown that there exists a critical threshold in stress-strain rate space through which rock failure transitions from …

Nanopetrophysics Of The Niobrara Formation In Berthoud State #3 Well, Rafael Roberto Villegas

Earth & Environmental Sciences Theses - Archive

The advent of new drilling and completion technologies over the past two decades has made unconventional shale reservoirs the focus of much of the oil and gas exploration and production throughout the United States. Despite large estimated reserves, unconventional reservoirs are typically characterized by low porosity and extremely low matrix permeability, partly accounting for the relatively low recovery rates seen, ranging from 10-15%. Increasing production from unconventional reservoirs requires an understanding of the reservoir’s nano-petrophysical properties including pore throat size distribution and edge accessible porosity. Furthermore, an understanding of the relationship between TOC, mineralogy, and pore throat distribution is critical …

Fault Detection And Localization Techniques For Concurrent Programs, Jing Xu

Computer Science and Engineering Dissertations - Archive

Concurrency faults are hard to detect and localize due to the nondeterministic behavior of concurrent programs. In this dissertation, we present three approaches to detecting and localizing faults in concurrent programs. The first approach identifies erroneous event patterns in a failed concurrent program execution. Given a failed execution, we characterize the execution as a sequence of context-switch points and then use controlled execution to distinguish erroneous context-switch points from benign context-switch points. Erroneous context-switch points are used to derive erroneous event patterns, which allow the user to quickly localize the actual fault. Our experiments were conducted on thirteen programs. Seven …

Exploratory Data Analysis Over Online Community Networks, Azade Nazi

Computer Science and Engineering Dissertations - Archive

An online community network links entities (e.g., users, products) with various relationships (e.g., friendship, co-purchase) and make such information available for access through a web interface. There are numerous such networks on the web, ranging from Twitter, Instagram, which links users as ``followers-followees'', to amazon.com, ebay.com, which links products with relationships such as ``also buy''. Online community networks often feature a web interface that only allows local-neighborhood queries - i.e., given a entity (e.g., users, products) of the community network as input, the system only returns the immediate neighbors of the entity. Further, the rate limit constraint restricts the number …

Integrative Approaches For Large-Scale Biomedical Data Analysis, Ashis Kumer Biswas

Computer Science and Engineering Dissertations - Archive

Advancement of the Next Generation Sequencing (NGS), also known as the High Throughput Sequencing (HTS) technologies allow researchers investigate genome, transcriptome, or epigenome of any organism from any perspective, thereby contributing to the enrichment of the biomedical data repositories for many of the lesser known phenomena. The regulatory activities inside genome by the non-coding RNAs (ncRNAs), the transcribed product of the long-neglected "junk DNA" molecules is one such phenomenon. While large-scale data about the ncRNAs are becoming publicly available, the computational challenges are being imposed to the bioinformaticians for efficient mining to get reliable answers to few subtle questions. Given …

A Harmonic Function Method For Eeg Source Reconstruction, Hongguang Xi

Mathematics Dissertations - Archive

Neuronal activities generate the electrical current in the brain, and further result in the potential changes over the scalp. Electroencephalography (EEG) is a technique used to record the potential changes on the scalp. Even though fMRI, PET, MEG and other brain-imaging tools are widely used in brain research, they are limited by low spatial/temporal resolution, cost, mobility and suitability for long-term monitoring. In contrast, EEG signals have been successfully used to obtain useful diagnostic information (neural oscillations and response times) in clinical contexts. Further, they present the advantage to be highly portable, inexpensive, and can be acquired at the bedside …

Spreading Speeds Along Shifting Resource Gradients In Reaction-Diffusion Models And Lattice Differential Equations., Jin Shang

Electronic Theses and Dissertations

A reaction-diffusion model and a lattice differential equation are introduced to describe the persistence and spread of a species along a shifting habitat gradient. The species is assumed to grow everywhere in space and its growth rate is assumed to be monotone and positive along the habitat region. We show that the persistence and spreading dynamics of a species are dependent on the speed of the shifting edge of the favorable habitat, c, as well as c^*(∞) and c^*(−∞), which are formulated in terms of the dispersal kernel and species growth rates in both directions. When …