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Articles 3691 - 3720 of 4827
Full-Text Articles in Computer Sciences
Library Impact Statement For Csc 524 Advanced Incident Response, Amanda Izenstark
Library Impact Statement For Csc 524 Advanced Incident Response, Amanda Izenstark
Library Impact Statements
Library Impact Statement in response to new course proposal for CSC 524 Advaned Incident Response. New course was supported with no need for additional resources.
Library Impact Statement For Csc 420 Introduction To Information Assurance, Amanda Izenstark
Library Impact Statement For Csc 420 Introduction To Information Assurance, Amanda Izenstark
Library Impact Statements
Library Impact Statement in response to new course proposal for CSC 420 Introduction to Information Assurance. New course was supported with no need for additional resources.
Library Impact Statement For Csc 423 Network Intrusion Detection And Defense, Amanda Izenstark
Library Impact Statement For Csc 423 Network Intrusion Detection And Defense, Amanda Izenstark
Library Impact Statements
Library Impact Statement in response to new course proposal for CSC 423 Network Intrusion Detection and Defense. New course was supported with no need for additional resources.
Library Impact Statement For Csc 524 Advanced Incident Response, Amanda Izenstark
Library Impact Statement For Csc 524 Advanced Incident Response, Amanda Izenstark
Library Impact Statements
Library Impact Statement for CSC 524 Advanced Incident Response. No new library resources are required to support this course.
Library Impact Statement For Csc 420 Introduction To Information Assurance, Amanda Izenstark
Library Impact Statement For Csc 420 Introduction To Information Assurance, Amanda Izenstark
Library Impact Statements
Library Impact Statement for CSC 420 Introductin to information Assurance. No new library resources are required to support this course.
Semantic Computing In Real-World: Vertical And Horizontal Application Within Enterprise And On The Web, Amit P. Sheth
Semantic Computing In Real-World: Vertical And Horizontal Application Within Enterprise And On The Web, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Kino: A Generic Document Management System For Biologists Using Sa-Rest And Faceted Search, Ajith Harshana Ranabahu, Priti Parikh, Maryam Panahiazar, Amit P. Sheth
Kino: A Generic Document Management System For Biologists Using Sa-Rest And Faceted Search, Ajith Harshana Ranabahu, Priti Parikh, Maryam Panahiazar, Amit P. Sheth
Kno.e.sis Publications
Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing scientific documents require a semi-automatic approach to overcome issues of large volume, yet support the human participation in the process. In this paper we present Kino, a set of tools that streamline the document management process in life science domains. Kino is integrated with National Center for Biomedical Ontology (NCBO), providing scientists access to quality domain models. Annotated documents are indexed using a faceted …
Applying Data Mining Techniques To Evaluate Applications For Agricultural Loans, Emile J. Salame
Applying Data Mining Techniques To Evaluate Applications For Agricultural Loans, Emile J. Salame
Department of Agricultural Economics: Dissertations, Theses, and Student Research
Financial lending institutions continuously look at improving their credit risk models. This study examines the performance of three estimation methods: logistic regression, decision tree, and neural networks, in terms of their misclassification rates of credit default. The study uses 17,328 loans of grain producers for the period of 2006 - 2010. Those loans belong to the category of “diversified loans / core standard” originating from a large financial lending institution. The data has been split into nine different sets to acknowledge three factors: the shift in price of grains to a higher plateau after 2006, the contamination effect on defaulting …
Evaluating And Implementing Web Scale Discovery Services: Part Two, Jason Vaughan, Tamera Hanken
Evaluating And Implementing Web Scale Discovery Services: Part Two, Jason Vaughan, Tamera Hanken
Library Faculty Presentations
Part Four: Quick Tour of the Current Marketplace:
- "The Big 5"
- Similarities and differences
Part Five: It's Not All Sliced Bread:
- Shortcomings of web scale discovery
Part Six: Implementation (pre launch steps):
- Selecting and preparing implementation staff
- Preparing and communicating process/decisions with all staff
- Working with the vendor (roles, expectations, timeline)
- Workflow changes and implications (technical services)
Part Seven: Specific implementation tasks, issues, and considerations:
- Record loading and mapping (catalog content)
- Harvesting and mapping digital/local content
- Working with central index data (internal & external content)
- Web integration and customization
- Assessment and continuous improvement
Citizen Sensing: Opportunities And Challenges In Mining Social Signals And Perceptions, Amit P. Sheth
Citizen Sensing: Opportunities And Challenges In Mining Social Signals And Perceptions, Amit P. Sheth
Kno.e.sis Publications
Millions of persons have become 'citizens' of an Internet- or Web-enabled social community. Web 2.0 fostered the open environment and applications for tagging, blogging, wikis, and social networking sites that have made information consumption, production, and sharing so incredibly easy. An interconnected network of people who actively observe, report, collect, analyze, and disseminate information via text, audio, or video messages, increasingly through pervasively connected mobile devices, has led to what we term citizen sensing. In this talk, we review recent progress in supporting collective intelligence through intelligent processing of citizen sensing. Key issues we cover in this talk are: - …
Evaluating And Implementing Web Scale Discovery Services: Part One, Jason Vaughan, Tamera Hanken
Evaluating And Implementing Web Scale Discovery Services: Part One, Jason Vaughan, Tamera Hanken
Library Faculty Presentations
Preface: Before Web Scale Discovery
- A very brief overview
Part 1: What is Web Scale Discovery
- Content
- Technology
Part 2: Why is Web Scale Discovery important?
- What’s the need?
- How is it different from earlier attempts at broad discovery?
Part 3: A Framework for Evaluating Web Scale Discovery Services
- What we did at UNLV
- Other options
Local Closed World Semantics: Keep It Simple, Stupid!, Adila Krishnadhi, Kunal Sengupta, Pascal Hitzler
Local Closed World Semantics: Keep It Simple, Stupid!, Adila Krishnadhi, Kunal Sengupta, Pascal Hitzler
Computer Science and Engineering Faculty Publications
A combination of open and closed-world reasoning (usually called local closed world reasoning) is a desirable capability of knowledge representation formalisms for Semantic Web applications. However, none of the proposals made to date for extending description logics with local closed world capabilities has had any significant impact on applications. We believe that one of the key reasons for this is that current proposals fail to provide approaches which are intuitively accessible for application developers at the same time are applicable, as extensions, to expressive description logics as SROIQ, which underlies the Web Ontology Language OWL.
In this paper, we propose …
Web Wisdom: An Essay On How Web 2.0 And Semantic Web Can Foster A Global Knowledge Society, Christopher Thomas, Amit P. Sheth
Web Wisdom: An Essay On How Web 2.0 And Semantic Web Can Foster A Global Knowledge Society, Christopher Thomas, Amit P. Sheth
Kno.e.sis Publications
Admittedly this is a presumptuous title that should never be used when reporting on individual research advances. Wisdom is just not a scientific concept. In this case, though, we are reporting on recent developments on the web that lead us to believe that the web is on the way to providing a platform for not only information acquisition and business transactions but also for large scale knowledge development and decision support. It is likely that by now every web user has participated in some sort of social function or knowledge accumulating function on the web, many times without even being …
Automatic High-Fidelity 3d Road Network Modeling, Jie Wang
Automatic High-Fidelity 3d Road Network Modeling, Jie Wang
Computational Modeling & Simulation Engineering Theses & Dissertations
Many computer applications such as racing games and driving simulations frequently make use of 3D high-fidelity road network models for a variety of purposes. However, there are very few existing methods for automatic generation of 3D realistic road networks, especially for those in the real world. On the other hand, vast road network GIS data have been collected in the past and used by a wide range of applications, such as navigation and evaluation. A method that can automatically produce 3D high-fidelity road network models from 2D real road GIS data will significantly reduce both the labor and time needed …
The Effects Of Eye Gaze Based Control On Operator Performance In Monitoring Multiple Displays, Allison Popola
The Effects Of Eye Gaze Based Control On Operator Performance In Monitoring Multiple Displays, Allison Popola
Doctoral Dissertations and Master's Theses
This study investigated the utility and efficacy of using eye tracking technology as a method for selecting control of a camera within a multiple display configuration. A task analysis with a Keystroke-Level-Model (KLM) was conducted to acquire an estimated time for switching between cameras. KLM estimates suggest that response times are faster using an eye tracker than manual control -indicating a time savings. To confirm these estimates, and test other hypotheses a 2 × 2 within-subjects factorial design was used to examine the effects of Control (Using an eye tracker, or manual) under different Task Loads (Low, High). Dependent variables …
Smob: The Best Of Both Worlds, Alexandre Passant, Julia Anaya, Owen Sacco, Pavan Kapanipathi
Smob: The Best Of Both Worlds, Alexandre Passant, Julia Anaya, Owen Sacco, Pavan Kapanipathi
Kno.e.sis Publications
This paper presents the architecture of SMOB and the way it combines Semantic Web standards (RDF(S) / SPARQL) and new protocols such as PubSubHubbub to enable a Federated and Privacy-Aware Social Web.
Automatic Domain Model Creation Using Pattern-Based Fact Extraction, Christopher Thomas, Pankaj Mehra, Wenbo Wang, Amit P. Sheth, Gerhard Weikum, Victor Chan
Automatic Domain Model Creation Using Pattern-Based Fact Extraction, Christopher Thomas, Pankaj Mehra, Wenbo Wang, Amit P. Sheth, Gerhard Weikum, Victor Chan
Kno.e.sis Publications
This paper describes a minimally guided approach to automatic domain model creation. The first step is to carve an area of interest out of the Wikipedia hierarchy based on a simple query or other starting point. The second step is to connect the concepts in this domain hierarchy with named relationships. A starting point is provided by Linked Open Data, such as DBPedia. Based on these community-generated facts we train a pattern-based fact-extraction algorithm to augment a domain hierarchy with previously unknown relationship occurrences. Pattern vectors are learned that represent occurrences of relationships between concepts. The process described can be …
Privacy-By-Design In Federated Social Web Applications, Alexandre Passant, Owen Sacco, Julia Anaya, Pavan Kapanipathi
Privacy-By-Design In Federated Social Web Applications, Alexandre Passant, Owen Sacco, Julia Anaya, Pavan Kapanipathi
Kno.e.sis Publications
No abstract provided.
Local Closed-World Reasoning With Description Logics Under The Well-Founded Semantics, Matthias Knorr, Jose Julio Alferes, Pascal Hitzler
Local Closed-World Reasoning With Description Logics Under The Well-Founded Semantics, Matthias Knorr, Jose Julio Alferes, Pascal Hitzler
Computer Science and Engineering Faculty Publications
An important question for the upcoming Semantic Web is how to best combine open world ontology languages, such as the OWL-based ones, with closed world rule-based languages. One of the most mature proposals for this combination is known as hybrid MKNF knowledge bases (Motik and Rosati, 2010 [52]), and it is based on an adaptation of the Stable Model Semantics to knowledge bases consisting of ontology axioms and rules. In this paper we propose a well-founded semantics for nondisjunctive hybrid MKNF knowledge bases that promises to provide better efficiency of reasoning, and that is compatible with both the OWL-based …
Real-Time Trip Information Service For A Large Taxi Fleet, Rajesh Krishna Balan, Nguyen Xuan Khoa, Lingxiao Jiang
Real-Time Trip Information Service For A Large Taxi Fleet, Rajesh Krishna Balan, Nguyen Xuan Khoa, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
In this paper, we describe the design, analysis, implementation, and operational deployment of a real-time trip information system that provides passengers with the expected fare and trip duration of the taxi ride they are planning to take. This system was built in cooperation with a taxi operator that operates more than 15,000 taxis in Singapore. We first describe the overall system design and then explain the efficient algorithms used to achieve our predictions based on up to 21 months of historical data consisting of approximately 250 million paid taxi trips. We then describe various optimisations (involving region sizes, amount of …
Topical Keyphrase Extraction From Twitter, Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Ee Peng Lim, Xiaoming Li
Topical Keyphrase Extraction From Twitter, Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Ee Peng Lim, Xiaoming Li
Research Collection School Of Computing and Information Systems
Summarizing and analyzing Twitter content is an important and challenging task. In this paper, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking. We evaluate our proposed methods on a large Twitter data set. Experiments show that these methods are very effective for topical keyphrase extraction.
Effects Of Appearance And Functions On Likability And Perceived Occupational Suitability Of Robots, Sau-Lai Lee, Ivy Yee-Man Lau, Ying-Yi Hong
Effects Of Appearance And Functions On Likability And Perceived Occupational Suitability Of Robots, Sau-Lai Lee, Ivy Yee-Man Lau, Ying-Yi Hong
Research Collection School of Social Sciences
This article reports three experiments that examined the association between (a) appearances and perceived capabilities of robots, (b) appearance and capabilities of robots and liking for the robots, and (c) perceived capabilities of robots and judgments concerning their suitability for different occupations. In Experiment 1, the authors found that participants perceived human- and animal-like robots to have relatively more warmth-related (e.g., emotion) capabilities than machinelike robots have. In Experiment 2, the authors found that liking for robots was not affected by their human likeness or their having warmth or competence capabilities. In Experiment 3, participants generally thought that robots should …
Getting To Global Yes! Designing A Distributed Student Collaboration, Selma Limam Mansar, Randy Weinberg, Benjamin Kok Siew Gan
Getting To Global Yes! Designing A Distributed Student Collaboration, Selma Limam Mansar, Randy Weinberg, Benjamin Kok Siew Gan
Research Collection School Of Computing and Information Systems
The authors have taught a course called 'Global Project Management' for four years, engaging students in three international locations in hands-on distance projects. The distance projects are intended to provide students with enriching, realistic global project experience. With experience, improved planning and better coordination, each iteration of the distance projects has improved. In this paper, the authors present lessons learned and a mind map demonstrating key aspects of design of global hands-on projects.
Ios Mobile Device Forensics: Initial Analysis, Rita M. Barrios, Michael R. Lehrfeld
Ios Mobile Device Forensics: Initial Analysis, Rita M. Barrios, Michael R. Lehrfeld
Annual ADFSL Conference on Digital Forensics, Security and Law
The ability to recover forensic artifacts from mobile devices is proving to be an ever-increasing challenge for investigators. Coupling this with the ubiquity of mobile devices and the increasing complexity and processing power they contain results in a reliance on them by suspects. In investigating Apple’s iOS devices -- namely the iPhone and iPad -- an investigator’s challenges are increased due to the closed nature of the platforms. What is left is an extremely powerful and complex mobile tool that is inexpensive, small, and can be used in suspect activities. Little is known about the internal data structures of the …
Forensic Analysis Of Smartphones: The Android Data Extractor Lite (Adel), Felix Freiling, Michael Spreitzenbarth, Sven Schmitt
Forensic Analysis Of Smartphones: The Android Data Extractor Lite (Adel), Felix Freiling, Michael Spreitzenbarth, Sven Schmitt
Annual ADFSL Conference on Digital Forensics, Security and Law
Due to the ubiquitous use of smartphones, these devices become an increasingly important source of digital evidence in forensic investigations. Thus, the recovery of digital traces from smartphones often plays an essential role for the examination and clarification of the facts in a case. Although some tools already exist regarding the examination of smartphone data, there is still a strong demand to develop further methods and tools for forensic extraction and analysis of data that is stored on smartphones. In this paper we describe specifications of smartphones running Android. We further introduce a newly developed tool – called ADEL – …
Survey On Cloud Forensics And Critical Criteria For Cloud Forensic Capability: A Preliminary Analysis, Keyun Ruan, Ibrahim Baggili, Joe Carthy, Tahar Kechadi
Survey On Cloud Forensics And Critical Criteria For Cloud Forensic Capability: A Preliminary Analysis, Keyun Ruan, Ibrahim Baggili, Joe Carthy, Tahar Kechadi
Annual ADFSL Conference on Digital Forensics, Security and Law
In this paper we present the current results and analysis of the survey “Cloud forensics and critical criteria for cloud forensic capability” carried out towards digital forensic experts and practitioners. This survey was created in order to gain a better understanding on some of the key questions of the new field - cloud forensics - before further research and development. We aim to understand concepts such as its definition, the most challenging issues, most valuable research directions, and the critical criteria for cloud forensic capability.
Keywords: Cloud Forensics, Cloud Computing, Digital Forensics, Survey, Cloud Forensic Capability
Kindle Forensics: Acquisition & Analysis, Peter Hannay
Kindle Forensics: Acquisition & Analysis, Peter Hannay
Annual ADFSL Conference on Digital Forensics, Security and Law
The Amazon Kindle eBook reader supports a wide range of capabilities beyond reading books. This functionality includes an inbuilt cellular data connection known as Whispernet. The Kindle provides web browsing, an application framework, eBook delivery and other services over this connection. The historic data left by user interaction with this device may be of forensic interest. Analysis of the Amazon Kindle device has resulted in a method to reliably extract and interpret data from these devices in a forensically complete manner.
Keywords: forensics, digital forensics, kindle, mobile, embedded, ebook, ereader
Aacsb‐Accredited Schools’ Adoption Of Information Security Curriculum, Linda Lau, Cheryl Davis
Aacsb‐Accredited Schools’ Adoption Of Information Security Curriculum, Linda Lau, Cheryl Davis
Annual ADFSL Conference on Digital Forensics, Security and Law
The need to professionally and successfully conduct computer forensic investigations of incidents has never been greater. This has launched an increasing demand for a skilled computer security workforce (Locasto, et al., 2011). This paper examines the extent to which AACSB-accredited universities located in Virginia, Maryland and Washington, D.C. are working towards providing courses that will meet this demand. The authors conduct an online research of the information security courses and programs offered by the 27 AACSB-accredited business schools in the selected area.
The preliminary investigation revealed that eight of the 27 participating universities did not offer any courses in cybersecurity, …
Digital Forensics Investigation In A Collegiate Environment, Robert E. Johnston
Digital Forensics Investigation In A Collegiate Environment, Robert E. Johnston
Annual ADFSL Conference on Digital Forensics, Security and Law
Creating, building, managing a cost effective digital forensics lab including a team of qualified examiners can be a challenge for colleges [1] with multiple campuses in multiple towns, counties and states. Leaving such examination responsibilities to each of the campuses results in not only disparity in the results but more than likely excessive duplication of efforts as well as the potential for compromise of evidence. Centralizing the forensic efforts results in a team that is not subject to the political pressures of a campus and virtually eliminates the possibility of examiner favoritism. Learn what it takes to create a cost …
Backtrack In The Outback - A Preliminary Report On Cyber Security Evaluation Of Organisations In Western Australia, Craig Valli, Andrew Woodward, Peter Hannay
Backtrack In The Outback - A Preliminary Report On Cyber Security Evaluation Of Organisations In Western Australia, Craig Valli, Andrew Woodward, Peter Hannay
Annual ADFSL Conference on Digital Forensics, Security and Law
The authors were involved in extensive vulnerability assessment and penetration testing of over 15 large organisations across various industry sectors in the Perth CBD. The actual live testing involved a team of five people for approximately a four week period, and was black box testing. The scanning consisted of running network and web vulnerability tools, and in a few cases, exploiting vulnerability to establish validity of the tools. The tools were run in aggressive mode with no attempt made to deceive or avoid detection by IDS/IPS or firewalls. The aim of the testing was to determine firstly whether these organisations …