Computer Engineering Commons^™

Enabling Smartphone-Based Hd Video Chats By Cooperative Transmissions In Crns, Tao Jing, Xuewei Cui, Wei Cheng, Shixiang Zhu, Yan Huo, Xiuzhen Cheng

Computer Science Publications

Smartphones have been equipped with the cameras that can shoot HD videos, and the video chat apps such as Skype are becoming popular. We can, therefore, intuitively predict the trend that users are expecting to enjoy HD video chats via utilizing their smartphones. Most of the current Internet services, however, cannot support the live HD video transmissions because of their low uplink rate. In order to overcome this limit, we propose to offload the uplink transmissions to cooperative users via cognitive radio networks. Specifically, we first divide the video stream into several substreams according to the H.264/SVC standard and the …

Self-Organizing Feature Maps Identify Proteins Critical To Learning In A Mouse Model Of Down Syndrome, Clara Higuera, Kathleen J. Gardiner, Kryzysztof Cios

Computer Science Publications

Down syndrome (DS) is a chromosomal abnormality (trisomy of human chromosome 21) associated with intellectual disability and affecting approximately one in 1000 live births worldwide. The overexpression of genes encoded by the extra copy of a normal chromosome in DS is believed to be sufficient to perturb normal pathways and normal responses to stimulation, causing learning and memory deficits. In this work, we have designed a strategy based on the unsupervised clustering method, Self Organizing Maps (SOM), to identify biologically important differences in protein levels in mice exposed to context fear conditioning (CFC). We analyzed expression levels of 77 proteins …

Identifying Influential Nodes In A Wound Healing-Related Network Of Biological Processes Using Mean First-Passage Time, Tomasz Jakub Arodz, Danail Bonchev

Computer Science Publications

In this study we offer an approach to network physiology, which proceeds from transcriptomic data and uses gene ontology analysis to identify the biological processes most enriched in several critical time points of wound healing process (days 0, 3 and 7). The top-ranking differentially expressed genes for each process were used to build two networks: one with all proteins regulating the transcription of selected genes, and a second one involving the proteins from the signaling pathways that activate the transcription factors. The information from these networks is used to build a network of the most enriched processes with undirected links …

Vcu Cctr Mobile App: Android & Ios, Vattana Vichith, Stephen Wu, Bowen Zhang

Capstone Design Expo Posters

In today’s day and age, data should be accessible at all times. The biggest break-through for data accessibility is mobile technologies such as phones and tablets. The CCTR provides a continuum of informatics research and services to support translational and clinical research. Clinical Trials represent one of the central themes for the Center for Clinical and Translational Research, but they do not have a mobile app for the VCU community to access CCTR’s informatics resources.

This project aims to promote the expanded informatics research and services available to VCU students, faculty and staff as well as patients interested in discovering …

Mobile Crm Integration Using Amc Technology Apis, Matthew Bates, Allen Calderwood, Matthew Jenkins

Capstone Design Expo Posters

The problem our project solves is the feasibility of use of Salesforce, MSCRM and many other CRM technologies outside of the desk environment. When a user is away from their desk, they are unable to easily use these CRM technologies and our project solves that problem through the use of a Mobile Application that communicates with a desired CRM technology and deliver the desired information to an Android Smart-Watch. Regardless of what a company may do, efficiency is important. Through the use of our Mobile Application, companies that use CRM technologies such as Salesforce are able to further enhance their …

Enhanced Presentation Of Tomographic Data, Carmen Watts Clayton, Bernice E. Mills, George Buffleben, Thien Vu-Nguyen

STAR Program Research Presentations

Solid materials can now be viewed non-destructively with x-rays by tomography; a technique for taking many 2D images of an object at many angles and reconstructing the images into a 3D data cube. The data is next rendered into 2D or 3D still images or movies. By nature, x-ray tomography yields a very large amount of data in three dimensions. Effectively displaying this data to an audience is a challenge.

In this work techniques are explored to improve the presentation methods of movies of both 2D and 3D tomographic data for visual appeal and correct perspective. Finding the optimal ways …

Recdroid: A Resource Access Permission Control Portal And Recommendation Service For Smartphone Users, Gerrit Bond, Steven Jackson, Marcus Pare

Capstone Design Expo Posters

The rapid growth of the smartphone applications market raises security concerns regarding untrusted applications. Studies have shown that most apps in markets request to collect data irrelevant to the main functions of the apps. Traditional Android permission control design based on one-time decisions on installation has been proven to be ineffective in protecting users’ privacy and poorly utilizes scarce mobile resources (e.g. battery). RecDroid is designed to help protect user data in a market where unauthorized data collection is prevalent in most applications. With RecDroid’s recommendation feature, which is based on expert analysis, the user will be able to avoid …

Virtual Bus Simulation: Driver And Fuel Efficiency, James Freund, Ivan Grinkevich, Justin Boswell

Capstone Design Expo Posters

Problem Statement: VCU will be putting together state of the art 3D curved screen driving simulator. This simulator will mimic fleets of vehicles behavior and will be networked with INL and Univ. of Idaho simulators. The project will entail putting the simulator together and improving existing simulator software.

Rationale: Conduct research in the areas of important behaviors to increase driver efficiency, how simulation training can encourage good driving habits, Psychology of driver habits and distractions, and benefits of audio and visual cues to assist drivers. Approach: Identify the most optimal 3d engine and develop simulation environment using the chosen engine. …

Developing An Epics Ioc In Labview, Kenneth Butler, David Shires, Michael Talbott

Capstone Design Expo Posters

Problem Statement In working with labView and experimental physics at Jefferson Lab the current configuration is a linux based control system. Christiana has posed the task of implementing a windows based network configuration where input and output from the data readings is distributed across the network. With the help of LabView demos and CALabs softIOC we were asked to prove the concept of this windows based configuration to be possible. Specifically the task is to prove (or disprove) that we can serve data using the caLabs soft IOC.

Rationale The current configuration of Jefferson Labs data systems is served on …

Federated Account System For Accelerated Development Of Internal Systems, Javan Cohen, Nandu Radhakrishnan, Brian Seal

Capstone Design Expo Posters

Massey Cancer Center is currently bound by an internal Active Directory and role based account system and organizations outside of VCU need to write specific code to be able to access the information provided. Massey wanted to move their system to a federated account system with claims based authentication. This project is important because having information readily available to other trusted cancer research groups will help promote understanding and treatment of cancerous cells. Our approach was to take what we learned in CMSC 355 to create a design document that was approved by Dr. Fenstermacher. We used this to create …

Visualization Of Nlp Extractions, K. Barbour, D. Vieth, D. Warraich

Capstone Design Expo Posters

The goal of this project is to design a visualization system for information extracted from large amounts of unstructured text. The importance of the project is for the system to display information in a more informative way than simple highlighting of the raw text. The data is obtained from a program that scans multiple files for entities and extracts the information in said files pertaining to those entities. The entities that the program scans for includes people, organizations, locations, dates, incidents and any relative key words. The information is extracted and stored in JSON files, specifically in a format that …

Print Estimation: Columbia Printing And Graphics, Alex Jacobi, Chris Wooten, Sahil Zubair

Capstone Design Expo Posters

Problem Statement: Can we create a web application to help facilitate the estimation of printing services as requested by clients and allow for the full interaction between a client, sales representative, and an administrator all through a single web application.

Rationale: The importance of this project is to create an easy to use online service that a user can access from either their smartphone or desktop computer. If successful, this project will allow users to have quick access to quotes regarding their printing needs anywhere they are without the need of contacting an actual printing company. This project will also …

Probabilistic Verification Of Multi-Robot Missions In Uncertain Environments, Damian M. Lyons, Ronald Arkin, Shu Jiang, Dagan Harrington, Feng Tang, Peng Tang

Faculty Publications

The effective use of autonomous robot teams in highly-critical missions depends on being able to establish performance guarantees. However, establishing a guarantee for the behavior of an autonomous robot operating in an uncertain environment with obstacles is a challenging problem. This paper addresses the challenges involved in building a software tool for verifying the behavior of a multi-robot waypoint mission that includes uncertain environment geometry as well as uncertainty in robot motion. One contribution of this paper is an approach to the problem of a-priori specification of uncertain environments for robot program verification. A second contribution is a novel method …

Direct Optimization For Classification With Boosting, Shaodan Zhai

Browse all Theses and Dissertations

Boosting, as one of the state-of-the-art classification approaches, is widely used in the industry for a broad range of problems. The existing boosting methods often formulate classification tasks as a convex optimization problem by using surrogates of performance measures. While the convex surrogates are computationally efficient to globally optimize, they are sensitive to outliers and inconsistent under some conditions. On the other hand, boosting's success can be ascribed to maximizing the margins, but few boosting approaches are designed to directly maximize the margin. In this research, we design novel boosting algorithms that directly optimize non-convex performance measures, including the empirical …

Contrast Pattern Aided Regression And Classification, Vahid Taslimitehrani

Browse all Theses and Dissertations

Regression and classification techniques play an essential role in many data mining tasks and have broad applications. However, most of the state-of-the-art regression and classification techniques are often unable to adequately model the interactions among predictor variables in highly heterogeneous datasets. New techniques that can effectively model such complex and heterogeneous structures are needed to significantly improve prediction accuracy. In this dissertation, we propose a novel type of accurate and interpretable regression and classification models, named as Pattern Aided Regression (PXR) and Pattern Aided Classification (PXC) respectively. Both PXR and PXC rely on identifying regions in the data space where …

Merging Two Worlds: Agent-Based Simulation Methods For Autonomous Systems, Andreas Tolk

Computational Modeling & Simulation Engineering Faculty Publications

This chapter recommends the increased use of agent-based simulation methods to support the design, development, testing, and operational use of autonomous systems. This recommendation is motivated by deriving taxonomies for intelligent software agents and autonomous robotic systems from the public literature, which shows their similarity: intelligent software agents can be interpreted as the virtual counterparts of autonomous robotic systems. This leads to examples of how simulation can be used to significantly improve autonomous system research and development in selected use cases. The chapter closes with observations on the operational effects of possible emergent behaviour and the need to align the …

How Design Quality Improves With Increasing Computational Abilities: General Formulas And Case Study Of Aircraft Fuel Efficiency, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev

Departmental Technical Reports (CS)

It is known that the problems of optimal design are NP-hard -- meaning that, in general, a feasible algorithm can only produce close-to-optimal designs. The more computations we perform, the better design we can produce. In this paper, we theoretically derive quantitative formulas describing how the design qualities improves with the increasing computational abilities. We then empirically confirm the resulting theoretical formula by applying it to the problem of aircraft fuel efficiency.

Testing A Power Law Model Of Knowledge Propagation: Case Study Of The Out Of Eden Walk Project, Octavio Lerma, Leobardo Valera, Deana Pennington, Vladik Kreinovich

Departmental Technical Reports (CS)

To improve teaching and learning, it is important to understand how knowledge propagates. In general, when a new piece of knowledge is introduced, people start learning about it. Since the potential audience is limited, after some time, the number of new learners starts to decrease. Traditional models of knowledge propagation are based on differential equations; in these models, the number of new learners decreases exponentially with time. Recently, a new power law model for knowledge propagation was proposed. In this model, the number of learners decreases much slower, as a negative power of time. In this paper, we compare the …

Optimizing Pred(25) Is Np-Hard, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Usually, in data processing, to find the parameters of the models that best fits the data, people use the Least Squares method. One of the advantages of this method is that for linear models, it leads to an easy-to-solve system of linear equations. A limitation of this method is that even a single outlier can ruin the corresponding estimates; thus, more robust methods are needed. In particular, in software engineering, often, a more robust pred(25) method is used, in which we maximize the number of cases in which the model's prediction is within the 25% range of the observations. In …

Wiener-Process-Type Evasive Aircraft Actions Are Indeed Optimal Against Anti-Aircraft Guns: Wiener's Data Revisited, Vladik Kreinovich, Olga Kosheleva

Departmental Technical Reports (CS)

In his 1940s empirical study of evasive aircraft actions, N.~Wiener, the father of cybernetics, founds out that the pilot's actions follow a Wiener-type-process. In this paper, we explain this empirical result by showing that such evasive actions are indeed optimal against the 1940s anti-aircraft guns.

Fuzzy (And Interval) Techniques In The Age Of Big Data: An Overview With Applications To Environmental Science, Geosciences, Engineering, And Medicine, Vladik Kreinovich, Rujira Ouncharoen

Departmental Technical Reports (CS)

In some practical situations -- e.g., when treating a new illness -- we do not have enough data to make valid statistical conclusions. In such situations, it is necessary to use expert knowledge -- and thus, it is beneficial to use fuzzy techniques that were specifically designed to process such knowledge. At first glance, it may seem that in situations when we have large amounts of data, the relative importance of expert knowledge should decrease. However, somewhat surprisingly, it turns out that expert knowledge is still very useful in the current age of big data. In this paper, we explain …

Towards The Possibility Of Objective Interval Uncertainty In Physics. Ii, Luc Longpre, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Applications of interval computations usually assume that while we only know an interval containing the actual (unknown) value of a physical quantity, there is the exact value of this quantity, and that in principle, we can get more and more accurate estimates of this value. Physicists know, however, that, due to uncertainty principle, there are limitations on how accurately we can measure the values of physical quantities. One of the important principles of modern physics is operationalism -- that a physical theory should only use observable properties. This principle is behind most successes of the 20th century physics, starting with …

Connecting People And Ideas From Around The World: Global Innovation Platforms For Next-Generation Ecology And Beyond, P. Søgaard Jørgensen, F. Barraquand, V. Bonhomme, T. J. Curran, E. Cieraad, T. G. Ezard, L. Gherardi, R. A. Hayes, T. Poisot, R. Salguero-Gómez, Lucía Desoto, B. Swartz, J. M. Talbot, B. Wee, Naupaka B. Zimmerman

Biology Faculty Publications

We present a case for using Global Community Innovation Platforms (GCIPs), an approach to improve innovation and knowledge exchange in international scientific communities through a common and open online infrastructure. We highlight the value of GCIPs by focusing on recent efforts targeting the ecological sciences, where GCIPs are of high relevance given the urgent need for interdisciplinary, geographical, and cross-sector collaboration to cope with growing challenges to the environment as well as the scientific community itself. Amidst the emergence of new international institutions, organizations, and meetings, GCIPs provide a stable international infrastructure for rapid and long-term coordination that can be …

A Human-Centered Credit-Banking System For Convenient, Fair And Secure Carpooling Among Members Of An Association, H.-S. Jacob Tsao, Magdalini Eirinaki

Faculty Publications

This paper proposes an unconventional carpool-matching system concept that is different from existing systems with four innovative operational features: (F1) The proposed matching system will be used by members of an association and sponsored by the association, e.g., the employees of a company, members of a homeowner association, employees of a shopping center. This expands the scope beyond commute trips. Such associations can also voluntarily form alliances to increase the number of possible carpool partners and geographical reach. (F2) Service provided by a driver or received by a rider incurs credit or debt to a bank centrally and fairly managed …

Design And Implementation Of Network Transfer Protocol For Big Genomic Data, Mohammed Aledhari, Fahad Saeed

Parallel Computing and Data Science Lab Technical Reports

Genomic data is growing exponentially due to next generation sequencing technologies (NGS) and their ability to produce massive amounts of data in a short time. NGS technologies generate big genomic data that needs to be exchanged between different locations efficiently and reliably. The current network transfer protocols rely on Transmission Control Protocol (TCP) or User Datagram Protocol (UDP) protocols, ignoring data size and type. Universal application layer protocols such as HTTP are designed for wide variety of data types and are not particularly efficient for genomic data. Therefore, we present a new data-aware transfer protocol for genomic-data that increases network …

Feature Extraction Using Dimensionality Reduction Techniques: Capturing The Human Perspective, Ashley B. Coleman

Browse all Theses and Dissertations

The purpose of this paper is to determine if any of the four commonly used dimensionality reduction techniques are reliable at extracting the same features that humans perceive as distinguishable features. The four dimensionality reduction techniques that were used in this experiment were Principal Component Analysis (PCA), Multi-Dimensional Scaling (MDS), Isomap and Kernel Principal Component Analysis (KPCA). These four techniques were applied to a dataset of images that consist of five infrared military vehicles. Out of the four techniques three out of the five resulting dimensions of PCA matched a human feature. One out of five dimensions of MDS matched …

Multiferroic Tunnel Junctions And Ferroelectric Control Of Magnetic State At Interface, Y. W. Yin, M. Raju, W. J. Hu, John D. Burton, Y.-M. Kim, A. Y. Borisevich, S. J. Pennycook, S. M. Yang, T. W. Noh, Alexei Gruverman, X. G. Li, Z. D. Zhang, Evgeny Y. Tsymbal, Qi Li

Alexei Gruverman Publications

As semiconductor devices reach ever smaller dimensions, the challenge of power dissipation and quantum effect place a serious limit on the future device scaling. Recently, a multiferroic tunnel junction (MFTJ) with a ferroelectric barrier sandwiched between two ferromagnetic electrodes has drawn enormous interest due to its potential applications not only in multi-level data storage but also in electric field controlled spintronics and nanoferronics. Here, we present our investigations on four-level resistance states, giant tunneling electroresistance (TER) due to interfacial magnetoelectric coupling, and ferroelectric control of spin polarized tunneling in MFTJs. Coexistence of large tunneling magnetoresistance and TER has been observed …

Accelerating Mpi Collective Communications Through Hierarchical Algorithms With Flexible Inter-Node Communication And Imbalance Awareness, Benjamin Scott Parsons

Open Access Dissertations

This work presents and evaluates algorithms for MPI collective communication operations on high performance systems. Collective communication algorithms are extensively investigated, and a universal algorithm to improve the performance of MPI collective operations on hierarchical clusters is introduced. This algorithm exploits shared-memory buffers for efficient intra-node communication while still allowing the use of unmodified, hierarchy-unaware traditional collectives for inter-node communication. The universal algorithm shows impressive performance results with a variety of collectives, improving upon the MPICH algorithms as well as the Cray MPT algorithms. Speedups average 15x - 30x for most collectives with improved scalability up to 65536 cores.^ Further …

Optimizing Data Center Operations With Virtualization, Jason Kruse, Osman Sesay, Stephanie Goggin-Burns

Capstone Design Expo Posters

Design a computer network using two or more host servers that supports a virtual hosting environment.

The importance of creating a successful datacenter is to allow a company to maintain data accessibility while keeping the data secure. One way of doing this is to have servers at multiple locations to insure that data isn’t lost in case of a failure at one server location. The impact of a datacenter that supports a virtual hosting environment is to maximize hardware recourses, grants the ability to quickly stand up server services and increases availability during hardware failure due to software like VMotion. …

Text Analytic System: Document Similarity, Ryan Murphy, James Cecil, Joseph Contarino

Capstone Design Expo Posters

Knowledge discovery is a critical function of infrastructure protection in the U.S. By analyzing key text documents, we can gain insight into the interwoven and interdependent infrastructure system of the U.S., and better understand the security aspects of the system as a whole. Massive amounts of relevant data resides in text documents, which must be gathered and parsed to be analyzed on a large scale. Our algorithm collects web-based text embedded in HTML pages and analyzes it in various ways to decipher similarities. It will be a needed component of the larger system being developed by the Idaho National Laboratory, …