Other Computer Sciences Commons^™

Leading Undergraduate Students To Big Data Generation, Jianjun Yang, Ju Shen

Computer Science Faculty Publications

People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking, image processing, virtualization, scientific computation, and algorithms. The huge data nowadays are called Big Data. Big data is an all encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications. In this article, the authors present a unique way which uses network simulator and tools of image processing to train students abilities to learn, analyze, manipulate, and apply Big Data. Thus they develop students hands-on …

A Web-Based Temperature Monitoring System For The College Of Arts And Letters, Rigoberto Solorio

Electronic Theses, Projects, and Dissertations

In general, server rooms have restricted access requiring that staff possess access codes, keys, etc. Normally, only administrators are provided access to protect the physical hardware and the data stored in the servers. Servers also have firewalls to restrict outsiders from accessing them via the Internet. Servers also cost a lot of money. For this reason, server rooms also need to be protected against overheating. This will prolong the lifecycle of the units and can prevent data loss from hardware failure.

The California State University San Bernardino (CSUSB), Specifically the College of Arts and Letters server room has faced power …

Clustering Header Categories Extracted From Web Tables, George Nagy, David W. Embley, Mukkai Krishnamoorthy, Sharad C. Seth

School of Computing: Conference and Workshop Papers

Revealing related content among heterogeneous web tables is part of our long term objective of formulating queries over multiple sources of information. Two hundred HTML tables from institutional web sites are segmented and each table cell is classified according to the fundamental indexing property of row and column headers. The categories that correspond to the multi-dimensional data cube view of a table are extracted by factoring the (often multi-row/column) headers. To reveal commonalities between tables from diverse sources, the Jaccard distances between pairs of category headers (and also table titles) are computed. We show how about one third of our …

Hole Detection And Shape-Free Representation And Double Landmarks Based Geographic Routing In Wireless Sensor Networks, Jianjun Yang, Zongming Fei, Ju Shen

Computer Science Faculty Publications

In wireless sensor networks, an important issue of geographic routing is “local minimum” problem, which is caused by a “hole” that blocks the greedy forwarding process. Existing geographic routing algorithms use perimeter routing strategies to find a long detour path when such a situation occurs. To avoid the long detour path, recent research focuses on detecting the hole in advance, then the nodes located on the boundary of the hole advertise the hole information to the nodes near the hole. Hence the long detour path can be avoided in future routing. We propose a heuristic hole detecting algorithm which identifies …

A Simulation-Based Approach To Solve A Specific Type Of Chance Constrained Optimization, Lijian Chan

MIS/OM/DS Faculty Publications

We solve the chance constrained optimization with convex feasible set through approximating the chance constraint by another convex smooth function. The approximation is based on the numerical properties of the Bernstein polynomial that is capable of effectively controlling the approximation error for both function value and gradient. Thus, we adopt a first-order algorithm to reach a satisfactory solution which is expected to be optimal. When the explicit expression of joint distribution is not available, we then use Monte Carlo approach to numerically evaluate the chance constraint to obtain an optimal solution by probability. Numerical results for known problem instances are …

A Generalized Service Replication Process In Distributed Environments, Hany F. Elyamany, Marwa F. Mohamed, Katarina Grolinger, Miriam Am Capretz

Electrical and Computer Engineering Publications

Replication is one of the main techniques aiming to improve Web services’ (WS) quality of service (QoS) in distributed environments, including clouds and mobile devices. Service replication is a way of improving WS performance and availability by creating several copies or replicas of Web services which work in parallel or sequentially under defined circumstances. In this paper, a generalized replication process for distributed environments is discussed based on established replication studies. The generalized replication process consists of three main steps: sensing the environment characteristics, determining the replication strategy, and implementing the selected replication strategy. To demonstrate application of the generalized …

Evaluation Of Tcp Header Fields For Data Overhead Efficiency, Justin K. Yirka

UROP Posters

Bandwidth across the internet is constricted by monetary factors and hardware development, so researchers are left to improve the efficiency of data transmitted in order to improve internet speeds. The transmission control protocol (TCP) is the primary transport protocol on the modern internet, ensuring reliable delivery of the majority of data transmitted. I evaluated the TCP header fields for efficient use of data overhead so as to determine current waste and to suggest possible areas for revision. I examined original specifications for TCP mechanisms, comparing them to modern implementations as determined by updated standards and modern practices in the networking …

An Application Of The Autism Management Platform To Tracking Student Progress In The Special Education Environment, Ryan Thomas Burns

Computational and Data Sciences Theses

In the age of online courses and digital textbooks, several areas of academia, such as special education, are far behind in the technological revolution. Some teachers use long unstructured digital documents, while others maintain large physical files for students containing every piece of information or coursework they have ever received. Could these extremely unstructured approaches to data collection and aggregation be streamlined with a software platform built specifically for this purpose? Could this platform also be built to accommodate multiple integrations and practical new features? Most importantly, in terms of usability, would this software be enjoyable to use? The Autism …

Police Opinions Of Digital Evidence Response Handling In The State Of Georgia: An Examination From The Viewpoint Of Local Agencies’ Patrol Officers, Tanya Macneil

CCAC Theses and Dissertations

This research examined opinions of local law enforcement agencies’ patrol officers in the State of Georgia regarding preparedness and expectations for handling of digital evidence. The increased criminal use of technology requires that patrol officers be prepared to handle digital evidence in many different situations. The researcher’s goal was to gain insight into how patrol officers view their preparedness to handle digital evidence as well as their opinions on management expectations regarding patrol officers’ abilities to handle digital evidence. The research focused on identifying whether a gap existed between patrol officers’ opinions of digital evidence and the patrol officers’ views …

The Spy In Your Pocket: Smartphones And Geo-Location Data, Krishnun Sansurooah, Bradley Keane

Australian Digital Forensics Conference

The integration of Global Positioning Systems and Smartphones has seen the significance of location based services rise. Geo-location data could prove to be an invaluable source of evidence in a forensic investigation. An attempt to extract geo-location data from an iPhone4s and Huawei Ascend G526 in a forensically sound manner revealed significant geo-location data embedded within geo-tags within photos taken on the devices. Other limited evidence was located on the devices.

Evaluating Single Sign On Security Failure In Cloud Services, Brian Cusack, Eghbal Zadeh

Australian Information Security Management Conference

The business use of cloud computing services is motivated by the ease of use and the potential financial cost reductions. Service failure may occur when the service provider does not protect information or when the use of the services becomes overly complex and difficult. The benefits also bring optimisation challenges for the information owners who must assess the service security risk and the degree to which new human behaviours are required. In this research we look at the risk of identity theft when ease of service access is provided through a Single Sign On (SSO) authorisation and ask: What are …

Perfect Graphs, Chinh T. Hoang, R. Sritharan

Computer Science Faculty Publications

This chapter is a survey on perfect graphs with an algorithmic flavor. Our emphasis is on important classes of perfect graphs for which there are fast and efficient recognition and optimization algorithms. The classes of graphs we discuss in this chapter are chordal, comparability, interval, perfectly orderable, weakly chordal, perfectly contractile, and chi-bound graphs. For each of these classes, when appropriate, we discuss the complexity of the recognition algorithm and algorithms for finding a minimum coloring, and a largest clique in the graph and its complement.

Salient Object Detection Via Objectness Proposals, Tam Nguyen

Computer Science Faculty Publications

Salient object detection has gradually become a popular topic in robotics and computer vision research. This paper presents a real-time system that detects salient objects by integrating objectness, foreground, and compactness measures. Our algorithm consists of four basic steps. First, our method generates the objectness map via object proposals. Based on the objectness map, we estimate the background margin and compute the corresponding foreground map which prefers the foreground objects. From the objectness map and the foreground map, the compactness map is formed to favor the compact objects. We then integrate those cues to form a pixel-accurate saliency map which …

Metalogic Notes, Saverio Perugini

Computer Science Working Papers

A collection of notes, formulas, theorems, postulates and terminology in symbolic logic, syntactic notions, semantic notions, linkages between syntax and semantics, soundness and completeness, quantified logic, first-order theories, Goedel's First Incompleteness Theorem and more.

Statistics Notes, Saverio Perugini

Computer Science Working Papers

A collection of terms, definitions, formulas and explanations about statistics.

Building A Scalable Global Data Processing Pipeline For Large Astronomical Photometric Datasets, Paul Doyle

Other

Astronomical photometry is the science of measuring the flux of a celestial object. Since its introduction, the CCD has been the principle method of measuring flux to calculate the apparent magnitude of an object. Each CCD image taken must go through a process of cleaning and calibration prior to its use. As the number of research telescopes increases the overall computing resources required for image processing also increases. Existing processing techniques are primarily sequential in nature, requiring increasingly powerful servers, faster disks and faster networks to process data. Existing High Performance Computing solutions involving high capacity data centres are complex …

Study Solar Activity In The Backside Of The Sun With The Stereo Mission, Catherine A. Gibbs

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Determinants Of Intention To Use New Technology: An Investigation Of Students In Higher Education, Yolanda Dupree

CCAC Theses and Dissertations

The federal government continues to monitor the cost of paper texts as an essential component of postsecondary education expenses. The Higher Education Act (HEA), which was initially passed in 1965, was created to buttress the educational resources of colleges and universities. Along with addressing the benefits of financial aid in postsecondary and higher education, the act referenced the projected financial burdens of paper texts. The last 2008 reauthorization suggested that colleges and universities develop plans to reduce the costs of college. Congress is currently working to reauthorize the legislation. Based on this information, the problem identified in this study explored …

Exploring Algorithmic Musical Key Recognition, Nathan J. Levine

CMC Senior Theses

The following thesis outlines the goal and process of algorithmic musical key detection as well as the underlying music theory. This includes a discussion of signal-processing techniques intended to most accurately detect musical pitch, as well as a detailed description of the Krumhansl-Shmuckler (KS) key-finding algorithm. It also describes the Java based implementation and testing process of a musical key-finding program based on the KS algorithm. This thesis provides an analysis of the results and a comparison with the original algorithm, ending with a discussion of the recommended direction of further development.

Detection And Tracking Of T Cells In Time-Lapse Imaging, Cody Arbuckle, Milton L. Greenberg, Erik J. Linstead

Mathematics, Physics, and Computer Science Faculty Articles and Research

The effective classification and tracking of cells obtained from modern staining techniques has significant limitations due to the necessity of having to train and utilize a human expert in the field who must manually identify each cell in each slide. Often times these slides are filled with noise cells that are not of particular interest to the researcher. The use of computational methods has the ability to effectively and efficiently enhance image quality, as well as identify and track target cell types over large data sets. Here we present a computational approach to the in vitro tracking of T cells …