Computer Sciences Commons^™

Getting Code Near The Data: A Study Of Generating Customized Data Intensive Scientific Workflows With Domain Specific Language, Ashwin Manjunatha, Ajith Harshana Ranabahu, Paul E. Anderson, Amit P. Sheth

Kno.e.sis Publications

The amount of data produced in modern biological experiments such as Nuclear Magnetic Resonance (NMR) analysis far exceeds the processing capability of a single machine. The present state-of-the-art is taking the ”data to code”, the philosophy followed by many of the current service oriented workflow systems. However this is not feasible in some cases such as NMR data analysis, primarily due to the large scale of data.

The objective of this research is to bring ”code to data”, preferred in the cases when the data is extremely large. We present a DSL based approach to develop customized data intensive scientific …

Loqus: Linked Open Data Sparql Querying System, Prateek Jain, Kunal Verma, Peter Z. Yeh, Pascal Hitzler, Amit P. Sheth

Kno.e.sis Publications

The LOD cloud is gathering a lot of momentum, with the number of contributors growing manifold. Many prominent data providers have submitted and linked their data to other dataset with the help of manual mappings. The potential of the LOD cloud is enormous ranging from challenging AI issues such as open domain question answering to automated knowledge discovery. We believe that there is not enough technology support available to effectively query the LOD cloud. To this effect, we present a system called Linked Open Data SPARQL Querying System (LOQUS), which automatically maps users queries written in terms of a conceptual …

Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth

Kno.e.sis Publications

People are on the verge of an era in which the human experience can be enriched in ways they couldn't have imagined two decades ago. Rather than depending on a single technology, people progressed with several whose semantics-empowered convergence and integration will enable us to capture, understand, and reapply human knowledge and intellect. Such capabilities will consequently elevate our technological ability to deal with the abstractions, concepts, and actions that characterize human experiences. This will herald computing for human experience (CHE). The CHE vision is built on a suite of technologies that serves, assists, and cooperates with humans to nondestructively …

Online Administration System For Small And Medium-Sized Running Events, Steinar Johansen

Theses Digitization Project

The purpose of this project is to address inefficiency at small to medium-sized running events with regards to registration, race timing, and result service. As a race coordinator or participant, it is important that the race timing is correct and that the result service can be delivered as soon as possible after the event in finished. Contains source code.

Reordered Subsets Reconstruction Of Proton Computed Tomography, Wenzhe Xue

Theses Digitization Project

This project investigates the improvement of iterative reconstruction using reordered subsets. Block iterative projection and Ordered Subset reconstruction algorithms are developed to improve the performance of image reconstruction. Contains source code.

Mythic Game Project Addition Of Artificial Intelligence And Quest System Components, Christopher Alan Ballinger

Theses Digitization Project

This study will describe the design decisions and principles behind the artificial intelligence (AI) for a multiplayer online role playing game and the use of an expert system to implement it. Mythic is an active project focused on the development of all aspects of a multiplayer online role playing game (MORPG). The goal of Mythic is to develop a system with the capacity to offer similar capabilities as current MORPG games available on the market, as well as providing new innovative features to distinguish it from other MORPG games and make it attractive to potential players.

Provenance Context Entity (Pace): Scalable Provenance Tracking For Scientific Rdf Data, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. The provenance information, describing the source or lineage of the datasets, is playing an increasingly significant role in ensuring data quality, computing trust value of the datasets, and ranking query results. Current provenance tracking approaches using the RDF reification vocabulary suffer from a number of known issues, including lack of formal semantics, use of blank nodes, and application-dependent interpretation of reified RDF triples. In this paper, we introduce a new approach called Provenance Context Entity (PaCE) that uses …

A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow …

Practical Play Of The Dice Game Pig, Todd W. Neller, Clifton G.M. Presser

Computer Science Faculty Publications

The object of the jeopardy dice game Pig is to be the first player to reach 100 points. Each turn, a player repeatedly rolls a die until either a 1 is rolled or the player holds and scores the sum of the rolls (i.e., the turn total). At any time during a player’s turn, the player is faced with two choices: roll or hold. If the player rolls a 1, the player scores nothing and it becomes the opponent’s turn. If the player rolls a number other than 1, the number is added to the player’s turn total …

Investigating Basic Quality Of Service Design Possibilities For Regis University Academic Research Network Edge Routers, Robert Zwick

Regis University Student Publications (comprehensive collection)

The Regis University Academic Research Network (ARNe) had network resources, such as VoIP, that required preservation their ability to receive near real-time forwarding treatment across the network. Quality of Service (QoS) design ideas were examined from four actual implementations described in research cases. Additionally, research involving surveys from Cisco certified professionals was examined, and Cisco technical literature was examined. Case study methodology, involving the study of multiple cases, was the primary tactic utilized in this research. Examination and triangulation of data from the research indicated that ARNe would benefit from moving forward with a basic QoS design and implementation, integrating …

Representation Invariant Genetic Operators, Jonathan E. Rowe, Michael D. Vose, Alden H. Wright

Computer Science Faculty Publications

A genetic algorithm is invariant with respect to a set of representations if it runs the same no matter which of the representations is used. We formalize this concept mathematically, showing that the representations generate a group that acts upon the search space. Invariant genetic operators are those that commute with this group action. We then consider the problem of characterizing crossover and mutation operators that have such invariance properties. In the case where the corresponding group action acts transitively on the search space, we provide a complete characterization, including high-level representation-independent algorithms implementing these operators.

Results From The Ice-Sheet Model Intercomparison Project-Heinrich Event Intercomparison (Ismip Heino), Reinhard Calov, Ralf Greve, Ayako Abe-Ouchi, Ed Bueler, Philippe Huybrechts, Jesse V. Johnson, Rank Pattyn, David Pollard, Catherine Ritz, Fuyuki Saito, Lev Tarasov

Computer Science Faculty Publications

Results from the Heinrich Event INtercOmparison (HEINO) topic of the Ice-Sheet Model Intercomparison Project (ISMIP) are presented. ISMIP HEINO was designed to explore internal largescale ice-sheet instabilities in different contemporary ice-sheet models. These instabilities are of interest because they are a possible cause of Heinrich events. A simplified geometry experiment reproduces the main characteristics of the Laurentide ice sheet, including the sedimented region over Hudson Bay and Hudson Strait. The model experiments include a standard run plus seven variations. Nine dynamic/thermodynamic ice-sheet models were investigated; one of these models contains a combination of the shallow-shelf (SSA) and shallow-ice approximation (SIA), …

High Performance Computing Instrumentation And Research Productivity In U.S. Universities, Amy W. Apon, Linh B. Ngo, Stanley Ahalt, Vijay Dantuluri, Constantin Gurdgiev, Moez Limayem, Michael Stealey

Publications

This paper studies the relationship between investments in High-Performance Computing (HPC) instrumentation and research competitiveness. Measures of institutional HPC investment are computed from data that is readily available from the Top 500 list, a list that has been published twice a year since 1993 that lists the fastest 500 computers in the world at that time. Institutions that are studied include US doctoral-granting institutions that fall into the very high or high research rankings according to the Carnegie Foundation classifications and additional institutions that have had entries in the Top 500 list. Research competitiveness is derived from federal funding data, …

An Interactive Website For Disability Sports Festival Based On Asp.Net, Yuhe Li

Theses Digitization Project

The Disability Sport Festival Website (DSFW) is a dynamic and extendable website used by the organizer of the Disability Sport Festival (DSF), sport participants and DSF supporters from the Inland Empire. DSFW provides sport participants and DSF supporters a user-friendly interface to view and register activites and programs or make donations to the organization throughout the year. The purpose of this project is to re-structure, redesign and rewrite the old website to serve the desired needs of DSF better. The DSF is an official site that represents California State University, San Bernardino. Therefore, it must comply with the CSUSB Web …

Improvement Of Open Source Software Usability: An Empirical Evaluation From Developers Perspective, Arif Raza, Luiz Fernando Capretz, Faheem Ahmed

Electrical and Computer Engineering Publications

User satisfaction has always been important for software success whether it is Open Source Software (OSS) or closed proprietary software. Even though we do not presume that OSS always has poor usability, as there are examples of good usable open source software, it would still be agreed that OSS usability has room for further improvement. This paper presents an empirical investigation to study the impact of some key factors on OSS usability from developers’ points of view. This is one of the series of four studies that we are conducting regarding improvement of OSS usability from OSS developers, users, contributors, …

Building An Oss Quality Estimation Model With Catreg, Athos Origin China, Luiz Fernando Capretz, Danny Ho

Electrical and Computer Engineering Publications

Open Source Software (OSS) has been a popular form in software development. In this paper, we use statistical approaches to deriveOSSquality estimation models. Our objective is to build estimation models for the number of defects with metrics at project levels. First CATREG (Categorical regression with optimal scaling) is used to obtain quantifications of the qualitative variables. Then the independent variables are validated using the stepwise linear regression. The process is repeated to acquire optimal quantifications and final regression formula. This modeling process is performed based on data from theOSScommunities and is proved to be practically valuable.

Improvement Of Oss Usability: An Empirical Evaluation From Developers Perspective, Luiz Fernando Capretz, Arif Raza, Faheem Ahmed

Electrical and Computer Engineering Publications

No abstract provided.

The Effects Of Linguistic Features And Evaluation Perspective On Perceived Difficulty Of Medical Text, Gondy Leroy, Stephen Helmreich, James Cowie

CGU Faculty Publications and Research

Millions of laypersons need more medical information than they are customarily provided during their doctor’s visit. Health websites can help fill this knowledge gap, but the text is believed to be too difficult to understand for many laypersons. To help write text that is not perceived as too difficult and leads to better comprehension (actual difficulty), we study how linguistic structures influence text difficulty. Since perceived difficulty has been shown to be a barrier to self-education, evaluating perceived difficulty is an essential first step to take. In this study, we evaluated the impact of noun phrase complexity and of function …

A Vision For Acms, James Bradley

ACMS Journal 2010-2011

This paper presents a vision for the mission of the ACMS. It considers some plausible connections between mathematics and theology as well as some big questions that Christian mathematicians might fruitfully explore. It examines the current cultural norms of the mathematics guild, why these are problematic for Christians, and some possible ways the ACMS might respond.

Task Analysis, Modeling, And Automatic Identification Of Elemental Tasks In Robot-Assisted Laparoscopic Surgery, Lavie Pinchas Golenberg

Wayne State University Dissertations

Robotic microsurgery provides many advantages for surgical operations, including tremor filtration, an increase in dexterity, and smaller incisions. There is a growing need for a task analyses on robotic laparoscopic operations to understand better the tasks involved in robotic microsurgery cases. A few research groups have conducted task observations to help systems automatically identify surgeon skill based on task execution. Their gesture analyses, however, lacked depth and their class libraries were composed of ambiguous groupings of gestures that did not share contextual similarities.

A Hierarchical Task Analysis was performed on a four-throw suturing task using a robotic microsurgical platform. Three …

Data Clustering And Visualization Through Matrix Factorization, Yanhua Chen

Wayne State University Dissertations

Clustering is traditionally an unsupervised task which is to find natural groupings or clusters in multidimensional data based on perceived similarities among the patterns. The purpose of clustering is to extract useful information

from unlabeled data.

In order to present the extracted useful knowledge obtained by clustering in a meaningful way, data visualization becomes a popular and growing area of research field. Visualization can provide a qualitative overview of large and complex data sets, which help us the desired insight in truly understanding the phenomena of interest in data.

The contribution of this dissertation is two-fold: Semi-Supervised Non-negative Matrix Factorization …

Interference-Aware Multipath Routing And Link Rate Control In Multihop Wireless Networks, Maggie X. Cheng, Xuan Gong

Computer Science Faculty Research & Creative Works

In multihop wireless networks, end-to-end throughput is often hard to predict and is even harder to optimize due to the effect of interference. to date there is no precise result other than asymptotic bounds for this question: if there is no routing information given, what is the maximum throughput of a network using uncoordinated transmission such as IEEE 802.11 MAC? This paper attempts to address this question for a given network with specific traffic demand. in this paper we use a cross-layer design scheme to optimize network performance. the paper includes a basic linear programming model, from which the routing …

Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth

Kno.e.sis Publications

We present Twitris 2.0, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the systematic integration and analysis abilities.

Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space. Our research focuses on exploiting the capabilities of the mobile and cloud landscape by defining a new class of applications called cloud mobile hybrid (CMH) applications and a Domain Specific …

Semantic Web – Interoperability, Usability, Applicability, Pascal Hitzler, Krzysztof Janowicz

Computer Science and Engineering Faculty Publications

No abstract provided.

Approximate Instance Retrieval On Ontologies, Tuvshintur Tserendorj, Stephan Grimm, Pascal Hitzler

Computer Science and Engineering Faculty Publications

With the development of more expressive description logics (DLs) for the Web Ontology Language OWL the question arises how we can properly deal with the high computational complexity for efficient reasoning. In application cases that require scalable reasoning with expressive ontologies, non-standard reasoning solutions such as approximate reasoning are necessary to tackle the intractability of reasoning in expressive DLs. In this paper, we are concerned with the approximation of the reasoning task of instance retrieval on DL knowledge bases, trading correctness of retrieval results for gain of speed. We introduce our notion of an approximate concept extension and we provide …

Cycle Life Prediction Of Battery-Supercapacitor Hybrids Using Artificial Neural Networks, Thomas Weigert, Q. Tian, K. Lian

Computer Science Faculty Research & Creative Works

The cycle life of batteries and battery-supercapacitor hybrid systems was predicted using artificial neural networks. The presented techniques are able to predict the cycle life of a device based on a short (around 4% of the average cycle life) initial segment of the discharge curve. the prediction showed good performance with a correlation coefficient above 0.95. We were able to improve the predication further by considering readily available measurements of the device and usage. ©The Electrochemical Society.

Communication-Aware Load Balancing For Parallel Applications On Clusters, Xiao Qin, Hong Jiang, Adam Manzanares, Xiaojun Ruan, Shu Yin

School of Computing: Faculty Publications

Cluster computing has emerged as a primary and cost-effective platform for running parallel applications, including communication-intensive applications that transfer a large amount of data among the nodes of a cluster via the interconnection network. Conventional load balancers have proven effective in increasing the utilization of CPU, memory, and disk I/O resources in a cluster. However, most of the existing load-balancing schemes ignore network resources, leaving an opportunity to improve the effective bandwidth of networks on clusters running parallel applications. For this reason, we propose a communication-aware load-balancing technique that is capable of improving the performance of communication-intensive applications by increasing …

Classroomwiki: A Collaborative Wiki For Instructional Use With Multiagent Group Formation, Nobel Khandaker, Leen-Kiat Soh

School of Computing: Faculty Publications

Abstract—Wikis today are being used as a tool to conduct collaborative writing assignments in classrooms. However, typical Wikis do not adequately address the assessment of individual student contributions toward their groups or provide any automated group formation mechanism. To improve these aspects, we have designed and implemented ClassroomWiki – a Web-based collaborative Wiki writing tool. For the students, ClassroomWiki provides a Web interface for writing and revising their group’s Wiki and a topic-based forum for discussing their ideas during collaboration. When the students collaborate, ClassroomWiki tracks all student activities and builds detailed student models that represent their contributions toward their …

A Curriculum Unit On Programming And Robotics, Marina U. Bers, Louise Flannery, Elizabeth Kazakoff, R. Jordan Crouser

Computer Science: Faculty Publications

The Tangible Kindergarten project studies how, when given age-appropriate tools, young children can actively engage in computer programming and robotics in a way that is consistent with developmentally appropriate practice. This research project explores the creation of novel human computer interaction techniques to support learning with technology in early elementary school, with a focus on kindergarten. Since many modern graphical user interfaces are not designed with the developmental needs of such young learners in mind, they are generally ill-suited for use in early elementary school classrooms, especially for computer programming activities. To overcome this problem, this research project has created …