Computer Sciences Commons^™

Sfidat E Kalimit Në Cloud Computing, Fannol Gashi

Theses and Dissertations

Pasi që nevojat dhe varësia e njerëzve dhe veçanërisht ndërmarrjeve biznesore për qasje në sa më shumë aplikacione/ informacione për të ofruar /marrë shërbime po rritet vazhdimisht. Po ashtu nevojitet që këto shërbime të jenë të disponueshme në pajisje si kompjuter lokal, telefona të mençur e që mund të mos kenë kapacitete të mëdha procesuese e as hapësirë. Andaj ofrohet mundësia që shumica e aplikacioneve dhe informacioneve që janë të instaluara në kompjuterët, server lokal të kalojnë në Cloud Computing. Kjo teknologji e re kësisoj mundëson që të dhënat të ruhen në serverë që janë të shpërndarë gjeografikisht kudo nëpër …

Cfp: Handbook Of Research On Technological Applications And Innovation For Economic Development, Deogratias Harorimana Mr

Dr Deogratias Harorimana

The innovation in the 21st century goes significantly beyond the high-tech picture driven by small or large industry clusters in a specific region-typically Silicon Valley and M4Corridor. The future of innovation will lie within knowledge management and seamless technological applications. These will be supported by planned funding strategies, possibly with clients as drivers of the innovation. This view seems to be supported by the UK government “Technology and Innovation Futures” (2011); the USA government (2011), study into which leading scholars concede that the future innovation and technological applications for economic growth will include products and processes, improvements in areas such …

A Human Proximity Operations System Test Case Validation Approach, Justin Huber, Jeremy Straub

Jeremy Straub

A Human Proximity Operations System (HPOS) poses numerous risks in a real world environment. These risks range from mundane tasks such as avoiding walls and fixed obstacles to the critical need to keep people and processes safe in the context of the HPOS’s situation-specific decision making. Validating the performance of an HPOS, which must operate in a real-world environment, is an ill posed problem due to the complexity that is introduced by erratic (non-computer) actors. In order to prove the HPOS’s usefulness, test cases must be generated to simulate possible actions of these actors, so the HPOS can be shown …

Sensor And Computing Resource Management For A Small Satellite, Abhilasha Bhatia, Kyle Goehner, John Sand, Jeremy Straub, Atif Mohammad, Christoffer Korvald

Jeremy Straub

A small satellite in a low-Earth orbit (e.g., approximately a 300 to 400 km altitude) has an orbital velocity in the range of 8.5 km/s and completes an orbit approximately every 90 minutes. For a satellite with minimal attitude control, this presents a significant challenge in obtaining multiple images of a target region. Presuming an inclination in the range of 50 to 65 degrees, a limited number of opportunities to image a given target or communicate with a given ground station are available, over the course of a 24-hour period. For imaging needs (where solar illumination is required), the number …

Exposing Multiple User-Specific Data Denominated Products From A Single Small Satellite Data Stream, Atif F. Mohammad,, Emanuel Grant, Jeremy Straub, Ronald Marsh, Scott Kerlin

Jeremy Straub

This paper presents a research work on small satellite data stream and related distribution to associated stakeholders, which is a field that needs to get explored in more detail. The algorithm that is presented to extract USDDP (User-Specific Data Denominated Products) is a self managing body, which will be within as Open Space Box environment or OSBE as a novel idea. It contains an individual stream transmitted by the small satellite, which later is to be converted into USDDP. The context defined here deals with area in detail. Contexts are vitally important because they control, influence and affect everything within …

Model-Based Software Engineering For An Imaging Cubesat And Its Extrapolation To Other Missions, Atif Mohammad, Jeremy Straub, Christoffer Korvald, Emanuel Grant

Jeremy Straub

Small satellites with their limited computational capabilities require that software engineering techniques promote efficient use of spacecraft resources. A model-driven approach to software engineering is an excellent solution to this resource maximization challenge as it facilitates visualization of the key solution processes and data elements.

The software engineering process utilized for the OpenOrbiter spacecraft, which is a remote sensing technology demonstrator, is presented. Key challenges presented by the Open Orbiter project included concurrent operation and tasking of five computer-on-module (COM) units and a flight computer and the associated data marshaling between local and general storage. The payload processing system (consisting …

Likert-Scale Fuzzy Uncertainty From A Traditional Decision Making Viewpoint: It Incorporates Both Subjective Probabilities And Utility Information, Joe Lorkowski, Vladik Kreinovich

Departmental Technical Reports (CS)

One of the main methods for eliciting the values of the membership function μ(x) is to use the Likert scales, i.e., to ask the user to mark his or her degree of certainty by an appropriate mark k on a scale from 0 to n and take μ(x)=k/n. In this paper, we show how to describe this process in terms of the traditional decision making. Our conclusion is that the resulting membership degrees incorporate both probability and utility information. It is therefore not surprising that fuzzy techniques often work better than probabilistic techniques -- which only take into account the …

Towards Model Fusion In Geophysics: How To Estimate Accuracy Of Different Models, Omar Ochoa, Aaron A. Velasco, Christian Servin

Departmental Technical Reports (CS)

In geophysics, we usually have several Earth models based on different types of data: seismic, gravity, etc. Each of these models captures some aspects of the Earth structure. To get the more description of the Earth, it is desirable to "fuse" these models into a single one. To appropriately fuse the models, we need to know the accuracy of different models. In this paper, we show that the traditional methods cannot be directly used to estimate these accuracies, and we propose a new method for such estimation.

Why ℓ1 Is A Good Approximation To ℓ0: A Geometric Explanation, Carlos Ramirez, Vladik Kreinovich, Miguel Argaez

Departmental Technical Reports (CS)

In practice, we usually have partial information; as a result, we have several different possibilities consistent with the given measurements and the given knowledge. For example, in geosciences, several possible density distributions are consistent with the measurement results. It is reasonable to select the simplest among such distributions. A general solution can be described, e.g., as a linear combination of basic functions. A natural way to define the simplest solution is to select a one for which the number of the non-zero coefficients c_i is the smallest. The corresponding "l₀-optimization" problem is non-convex and therefore, difficult to …

Towards Fuzzy Method For Estimating Prediction Accuracy For Discrete Inputs, With Application To Predicting At-Risk Students, Xiaojing Wang, Martine Ceberio, Angel F. Garcia Contreras

Departmental Technical Reports (CS)

In many practical situations, we need, given the values of the observed quantities x1, ..., xn, to predict the value of a desired quantity y. To estimate the accuracy of a prediction algorithm f(x1, ..., xn), we need to compare the results of this algorithm's prediction with the actually observed values.

The value y usually depends not only on the values x1, ..., xn, but also on values of other quantities which we do not measure. As a result, even when we have the exact same values of the quantities x1, ..., xn, we may get somewhat different values of …

For Describing Uncertainty, Ellipsoids Are Better Than Generic Polyhedra And Probably Better Than Boxes: A Remark, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

For a single quantity, the set of all possible values is usually an interval. An interval is easy to represent in a computer: e.g., we can store its two endpoints. For several quantities, the set of possible values may have an arbitrary shape. An exact description of this shape requires infinitely many parameters, so in a computer, we have to use a finite-parametric approximation family of sets. One of the widely used methods for selecting such a family is to pick a symmetric convex set and to use its images under all linear transformations. If we pick a unit ball, …

Introducing Computer Science In An Integrated Science Course, Barry Lawson, Doug Szajda, Lewis Barnett Iii

Department of Math & Statistics Faculty Publications

This paper describes our implementation and experience of incorporating computer science concepts into a team-taught, first-year interdisciplinary course for prospective science majors at the University of Richmond. The course integrates essential concepts from each of five STEM disciplines: biology, chemistry, computer science, mathematics, and physics. Including computer science in this course faces three primary challenges: few of the students have any CS background; the time devoted to CS instruction is reduced compared to a traditional introductory CS course; and the spirit of the course requires the CS material to be highly integrated with the other disciplines. Here we discuss our …

Computational Science, Demystified...The Future, Revealed...And Cise, 2013, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

What are some of the exciting avenues that computational science is exploring, and how can we best give a voice to such emerging ideas?

Adoption Of Software Testing In Open Source Projects: A Preliminary Study On 50,000 Projects, Pavneet Singh Kochhar, Tegawende F. Bissyande, David Lo, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

In software engineering, testing is a crucial activity that is designed to ensure the quality of program code. For this activity, development teams spend substantial resources constructing test cases to thoroughly assess the correctness of software functionality. What is however the proportion of open source projects that include test cases? What kind of projects are more likely to include test cases? In this study, we explore 50,000 projects and investigate the correlation between the presence of test cases and various project development characteristics, including the lines of code and the size of development teams.

Network Structure Of Social Coding In Github, Ferdian Thung, Tegawende F. Bissyande, David Lo, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Social coding enables a different experience of software development as the activities and interests of one developer are easily advertized to other developers. Developers can thus track the activities relevant to various projects in one umbrella site. Such a major change in collaborative software development makes an investigation of networkings on social coding sites valuable. Furthermore, project hosting platforms promoting this development paradigm have been thriving, among which GitHub has arguably gained the most momentum. In this paper, we contribute to the body of knowledge on social coding by investigating the network structure of social coding in GitHub. We collect …

Understanding Widespread Changes: A Taxonomic Study, Shaowei Wang, David Lo, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

No abstract provided.

Network Structure Of Social Coding In Github, Ferdian Thung, David Lo, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

No abstract provided.

Confidence Weighted Mean Reversion Strategy For Online Portfolio Selection, Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan

Research Collection School Of Computing and Information Systems

Online portfolio selection has been attracting increasing attention from the data mining and machine learning communities. All existing online portfolio selection strategies focus on the first order information of a portfolio vector, though the second order information may also be beneficial to a strategy. Moreover, empirical evidence shows that relative stock prices may follow the mean reversion property, which has not been fully exploited by existing strategies. This article proposes a novel online portfolio selection strategy named Confidence Weighted Mean Reversion (CWMR). Inspired by the mean reversion principle in finance and confidence weighted online learning technique in machine learning, CWMR …

Image Collection Summarization Via Dictionary Learning For Sparse Representation, Chunlei Yang, Jialie Shen, Jinye Peng, Jianping Fan

Research Collection School Of Computing and Information Systems

In this paper, a novel approach is developed to achieve automatic image collection summarization. The effectiveness of the summary is reflected by its ability to reconstruct the original set or each individual image in the set. We have leveraged the dictionary learning for sparse representation model to construct the summary and to represent the image. Specifically we reformulate the summarization problem into a dictionary learning problem by selecting bases which can be sparsely combined to represent the original image and achieve a minimum global reconstruction error, such as MSE (Mean Square Error). The resulting “Sparse Least Square” problem is NP-hard, …

Data Visualization On Interactive Surfaces: A Research Agenda, Petra Isenberg, Tobias Isenberg, Tobias Hesselmann, Bongshin Lee, Ulrich Von Zadow, Anthony Tang

Research Collection School Of Computing and Information Systems

Interactive tabletops and surfaces (ITSs) provide rich opportunities for data visualization and analysis and consequently are used increasingly in such settings. A research agenda of some of the most pressing challenges related to visualization on ITSs emerged from discussions with researchers and practitioners in human-computer interaction, computer-supported collaborative work, and a variety of visualization fields at the 2011 Workshop on Data Exploration for Interactive Surfaces (Dexis 2011)