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Databases and Information Systems Commons

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2018

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Articles 1 - 9 of 9

Full-Text Articles in Databases and Information Systems

Vulnerability Assessment & Penetration Testing: Case Study On Web Application Security, Gazmend Krasniqi, Veton Bejtullahu Oct 2018

Vulnerability Assessment & Penetration Testing: Case Study On Web Application Security, Gazmend Krasniqi, Veton Bejtullahu

UBT International Conference

Complexity of information systems are increasing day by day. The security of information systems that are connected to public networks can be compromised by unauthorized, and usually anonymous, attempts to access them. By using public networks businesses and other institutions are exposed to numerous risks. This leads to more and more vulnerabilities in Information Systems. This situation calls for test methods that are devised from the attacker’s perspective to ensure that test conditions are as realistic as possible. In this paper we will describe complete stages of Vulnerability Assessment and Penetration Testing on some systems in UBT and proactive action …


Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller Aug 2018

Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller

The Summer Undergraduate Research Fellowship (SURF) Symposium

Pump failure is a general concerned problem in the hydraulic field. Once happening, it will cause a huge property loss and even the life loss. The common methods to prevent the occurrence of pump failure is by preventative maintenance and breakdown maintenance, however, both of them have significant drawbacks. This research focuses on the axial piston pump and provides a new solution by the prognostic of pump failure using the classification of machine learning. Different kinds of sensors (temperature, acceleration and etc.) were installed into a good condition pump and three different kinds of damaged pumps to measure 10 of …


Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin Aug 2018

Sort Vs. Hash Join On Knights Landing Architecture, Victor L. Pan, Felix Lin

The Summer Undergraduate Research Fellowship (SURF) Symposium

With the increasing amount of information stored, there is a need for efficient database algorithms. One of the most important database operations is “join”. This involves combining columns from two tables and grouping common values in the same row in order to minimize redundant data. The two main algorithms used are hash join and sort merge join. Hash join builds a hash table to allow for faster searching. Sort merge join first sorts the two tables to make it more efficient when comparing values. There has been a lot of debate over which approach is superior. At first, hash join …


Expected Length Of The Longest Chain In Linear Hashing, Pongthip Srivarangkul, Hemanta K. Maji Aug 2018

Expected Length Of The Longest Chain In Linear Hashing, Pongthip Srivarangkul, Hemanta K. Maji

The Summer Undergraduate Research Fellowship (SURF) Symposium

Hash table with chaining is a data structure that chains objects with identical hash values together with an entry or a memory address. It works by calculating a hash value from an input then placing the input in the hash table entry. When we place two inputs in the same entry, they chain together in a linear linked list. We are interested in the expected length of the longest chain in linear hashing and methods to reduce the length because the worst-case look-up time is directly proportional to it.

The linear hash function used to calculate hash value is defined …


Creating A Reproducible Metadata Transformation Pipeline Using Technology Best Practices, Cara Key, Mike Waugh Apr 2018

Creating A Reproducible Metadata Transformation Pipeline Using Technology Best Practices, Cara Key, Mike Waugh

Digital Initiatives Symposium

Over the course of two years, a team of librarians and programmers from LSU Libraries migrated the 186 collections of the Louisiana Digital Library from OCLC's CONTENTdm platform over to the open-source Islandora platform.

Early in the process, the team understood the value of creating a reproducible metadata transformation pipeline, because there were so many unknowns at the beginning of the process along with the certainty that mistakes would be made. This presentation will describe how the team used innovative and collaborative tools, such as Trello, Ansible, Vagrant, VirtualBox, git and GitHub to accomplish the task.


Text Mining In Chinese Ancient Attires, Lu Wang Mar 2018

Text Mining In Chinese Ancient Attires, Lu Wang

Western Research Forum

Starting from the Shang Dynasty (1600-1046 BCE) when writing system appeared in China, clothing was recorded as symbols to denote social statuses. The hierarchical signification of clothing remained in the following dynasties until the end of imperial China in 1911. The imperial period produced twenty-five official dynastic histories with rich corpuses on the subject of attire, documenting regulations and prohibitions of detailed dress code, a subject being scarcely studied and treated with assumptions today. This research will use text mining tools to identify descriptive words of clothing that reflect Chinese hierarchal ideology from the twenty-five histories. The method is to …


Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips Mar 2018

Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips

UNO Student Research and Creative Activity Fair

As the Cybersecurity program within UNO continues to adapt to the ever-changing world of information systems and information security, the Cybersecurity Capstone has recently become an active, community-involvement project, where real-world organizations can receive valuable, useful research and information from students on their way towards a degree. This presentation encompasses two such projects from the Cybersecurity Capstone, looking at how modern, more complex systems can often increase system vulnerability.


Collecting And Organizing Far-Left Extremist Data From Unstructured Internet Sources, Eric Perez Mar 2018

Collecting And Organizing Far-Left Extremist Data From Unstructured Internet Sources, Eric Perez

UNO Student Research and Creative Activity Fair

Far-left extremism refers to a network of groups who adhere to and take direct action in accordance with one or more of the following ideas: Support for bio-centric diversity, the belief that the earth and animals are in immediate danger, and the view that the government and other parts of society are responsible for this danger and incapable/unwilling to fix the crisis and preserve the American wilderness (Chermak, Freilich, Duran, & Parkin). Far-left extremism groups self-report activities using publicly accessible, online communiqués. These activities include arson, property damage, harassment, sabotage, and theft (Loadenthal). The communiqués are structured like blog posts …


Cora: Commingled Remains And Analytics – An Open Community Ecosystem, Nicole Mcelroy, Ryan Ernst Mar 2018

Cora: Commingled Remains And Analytics – An Open Community Ecosystem, Nicole Mcelroy, Ryan Ernst

UNO Student Research and Creative Activity Fair

Anthropologists at organizations such as the DPAA (Defense POW/MIA Accounting Agency) have the tough job of sorting through commingled remains of fallen soldiers. Under the direction of Professor Pawaskar at the College of IS&T, Ryan Ernst and I are currently developing a web application for the DPAA that will help them inventory the bones and record all the appropriate associations. After the inventory web application is built we will begin the analysis process using graph theory and other mathematical algorithms. This will ultimately help organizations like the DPAA get closer to the end goal of identifying fallen soldiers from commingled …