Databases and Information Systems Commons^™

Role Of Cloud Computing Interventions For Micro-Enterprise Growth: Implications For Global Development, Sajda Qureshi, Mehruz Kamal

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

While the majority of businesses around the world are micro-enterprises, they are the most vulnerable and are often run by people with limited resources, and skills to be able to avail the benefits of Information and Communication Technologies (ICTs). These are a form of small business which employs between 1-5 people and face challenges of limited resources, skills and ability to grow. When they do adopt IT their potential to survive and grow increases as they are then able to participate in the global economy. The challenge for global development lies in enabling these micro-enterprises to adopt the appropriate IT …

Overview And Guidance On Agile Development In Large Organizations, Jordan B. Barlow, Justin Scott Giboney, Mark Jeffrey Keith, David W. Wilson, Ryan Schuetzler, Paul Benjamin Lowry, Anthony Vance

Information Systems and Quantitative Analysis Faculty Publications

A continual debate surrounds the effectiveness of agile software development practices. Some organizations adopt agile practices to become more competitive, improve processes, and reduce costs. Other organizations are skeptical about whether agile development is beneficial. Large organizations face an additional challenge in integrating agile practices with existing standards and business processes. To examine the effects of agile development practices in large organizations, we review and integrate scientific literature and theory on agile software development. We further organize our theory and observations into a framework with guidelines for large organizations considering agile methodologies. Based on this framework, we present recommendations that …

The Relationship Between Cell Phone Use And Identity Theft, Lewis O. Saunders

Walden Dissertations and Doctoral Studies

The growth of mobile phone use has paralleled increased reports of identity theft. Identity theft can result in financial loss and threats to a victim's personal safety. Although trends in identity theft are well-known, less is known about individual cell phone users' attitudes toward identity theft and the extent to which they connect it to cell phone use. The purpose of this qualitative study was to determine how cell phone use is affected by attitudes toward privacy and identity theft. The study was based on social impact theory, according to which people's attitudes and behavior are affected by the strength …

Ohio's Use Of Geographic Information Systems To Demonstrate Public Participation In The Redistricting Process, Mark Salling

All Maxine Goodman Levin School of Urban Affairs Publications

No abstract provided.

Public Participation Geographic Information Systems For Redistricting A Case Study In Ohio, Mark Salling

All Maxine Goodman Levin School of Urban Affairs Publications

Public Participation Geographic Information Systems for Redistricting A Case Study in Ohio, Journal of the Urban and Regional Information Systems Association, Vol. 23, Number 1, forthcoming.

Checkpointing And Recovery In Distributed And Database Systems, Jiang Wu

Theses and Dissertations--Computer Science

A transaction-consistent global checkpoint of a database records a state of the database which reflects the effect of only completed transactions and not the re- sults of any partially executed transactions. This thesis establishes the necessary and sufficient conditions for a checkpoint of a data item (or the checkpoints of a set of data items) to be part of a transaction-consistent global checkpoint of the database. This result would be useful for constructing transaction-consistent global checkpoints incrementally from the checkpoints of each individual data item of a database. By applying this condition, we can start from any useful checkpoint of …

Data-Driven Decision Making As A Tool To Improve Software Development Productivity, Mary Erin Brown

Walden Dissertations and Doctoral Studies

The worldwide software project failure rate, based on a survey of information technology software manager's view of user satisfaction, product quality, and staff productivity, is estimated to be between 24% and 36% and software project success has not kept pace with the advances in hardware. The problem addressed by this study was the limited information about software managers' experiences with data-driven decision making (DDD) in agile software organizations as a tool to improve software development productivity. The purpose of this phenomenological study was to explore how agile software managers view DDD as a tool to improve software development productivity and …

Locating Mineral Exploration Targets Using A Geographical Information System, Finnian O'Connor

Conference papers

This paper outlines the research and development of a complete open source geographic information system (GIS) that offers real-time geoprocessing over the Internet. The premise of the geoprocessing is to locate mineral exploration targets that have high potential for success based on parameters chosen by the end-user of the system.

Components integrated in the system include a spatial database PostGIS, a GIS processing engine GRASS, a GIS server GeoServer, a web server Apache, and front-end technologies OpenLayers and GeoExt. Appropriate data was sourced from the Geological Survey of Ireland to be used for the geoprocessing.

With all the components of …

An Online Framework For Supporting The Evaluation Of Personalised Information Retrieval Systems, Catherine Mulwa, Luca Longo, Seamus Lawless, Mary Sharpe, Vincent Wade

Conference papers

Scope - Personalised Information Retrieval (PIR) has been gaining attention because it investigates intelligent ways for enhancing content delivery. Web users can have personalised services and more accurate information. Problem - Several PIR systems have been proposed in the literature; however, they have not been properly tested or evaluated. Proposal – The authors propose a generally applicable web-based interface, which provides PIR developers and evaluators with: i) implicit recommendations on how to evaluate a specific PIR system; ii) a repository containing studies on user-centred and layered evaluation studies; iii) recommendations on how to best combine different evaluation methods, metrics and …

Making Memory: Techne, Technology, And The Refashioning Of Contemporary Memory, Kimberly Lacey

Wayne State University Dissertations

My dissertation answers two questions: Does the tension between interactive technologies and rhetoric re-shape the nature and relevance of the canon of memory? Do interactive technologies affect the ways we remember and persuade? I argue that my interpretation of techne suggests possibilities for the creation and production of new types of memory in combination with digital media. To interrogate this connection, I suggest three interpretations of the Greek concept, techne: as a process that is inherently productive; as a force that renegotiates contemporary sources of social power; and as a skill that balances expert knowledge with instrumentality. I explore …

The Effect Of Interactive Technology On Informal Learning And Performance In A Social Setting, Timothy Clay Boileau

Wayne State University Dissertations

This study is based on a qualitative multiple case study research design using a mixed methods approach to provide insight into the effect of interactive technology on informal learning and performance in a social business setting inhabited by knowledge workers. The central phenomenon examined is the variance in behavioral intention towards interactive Web 2.0 technologies in learning and performance-related activities, depending on social and cultural setting, observable in individual and group usage patterns.

The theoretical foundation for this study is drawn primarily from the activity theory model developed by Engeström (1987) and related research enabled by an ongoing review of …

An Empirical Study On User Acceptance Of Simulation Techniques For Business Process, Olurotimi Adeboye Ladeinde

Walden Dissertations and Doctoral Studies

Non acceptance of technology may result in serious damages to organizations. For example, non acceptance of simulation technology cost Merrill Lynch Bank over {dollar}50 billion in 2008, while statistics in 2 separate studies showed that non acceptance of technology was responsible for a 57% decrease in performance level for physicians practicing in public tertiary hospitals in Hong Kong, and a 39% decrease in productivity for hotel workers in Seoul, Korea. The problem addressed in this research was non acceptance of simulation technology by project managers. This research investigated the correlation among personal innovativeness, organizational innovativeness, perceived usefulness, perceived ease of …

The Potential Role Of Business Intelligence In Church Organizations, Charmaine Felder

Walden Dissertations and Doctoral Studies

Business intelligence (BI) involves transforming data into actionable information to make better business decisions that may help improve operations. Although businesses have experienced success with BI, how leaders of church organizations might be able to exploit the advantages of BI in church organizations remains largely unexplored. The purpose of the phenomenological study was to explore the perceptions of pastoral leaders concerning the potential usefulness of BI in church organizations. Conceptual support for the study was based on the premise that churches may also benefit from BI that helps improve decision making and organizational performance. Three research questions were used to …

Learning Without Onboarding: How Assessing And Evaluating Learning Benefits New Information Technology Hires, Dory L. Morris

Walden Dissertations and Doctoral Studies

Onboarding ensures learning success through sharing and acquiring knowledge to remain competitive. However, little is known about new Information Technology (IT) hires' learning needs in the absence of onboarding; therefore, the purpose of this case study was to examine, increase, and retain their technical knowledge at the Unified Communications Company (UCC). Following the theoretical model of knowledge management, which holds that knowledge is the key to confirm learning and knowledge sharing, the research questions were used to examine how the company assessed and increased their technical knowledge and how they taught their culture in the absence of onboarding. A qualitative …

Asset Reuse Of Images From A Repository, Deirdre Herman

Walden Dissertations and Doctoral Studies

According to Markus's theory of reuse, when digital repositories are deployed to collect and distribute organizational assets, they supposedly help ensure accountability, extend information exchange, and improve productivity. Such repositories require a large investment due to the continuing costs of hardware, software, user licenses, training, and technical support. The problem addressed in this study was the lack of evidence in the literature on whether users in fact reused enough digital assets in repositories to justify the investment. The objective of the study was to investigate the organizational value of repositories to better inform architectural, construction, software and other industries whether …

Development Of Visualization Facility At The Gis And Remote Sensing Core Lab, University Of Nevada, Las Vegas, Haroon Stephen, William J. Smith, Zhongwei Liu

Public Policy and Leadership Faculty Presentations

Visualization using advanced computational and graphic equipment has become a standard way of present day research. Availability of low cost and fast processing units, high resolution displays with graphic processing units, and specialized software has brought complex visualization capabilities to an office desktop. Nevertheless, when dealing with large datasets such as, global climate, geospatial, and social data the office desktop falls short and calls for a centralized visualization facility with high end computing and graphics equipment.

Visualization Facility at GIS and Remote Sensing Core Lab would be a useful and important addition to the UNLV IT infrastructure. It would provide …

Real-Time Traffic Estimation Using Data Expansion, Roger Lederman, Laura Wynter

Research Collection School Of Computing and Information Systems

This paper presents a method for estimating missing real-time traffic volumes on a road network using both historical and real-time traffic data. The method was developed to address urban transportation networks where a non-negligible subset of the network links do not have real-time link volumes, and where that data is needed to populate other real-time traffic analytics. Computation is split between an offline calibration and a real-time estimation phase. The offline phase determines link-to-link splitting probabilities for traffic flow propagation that are subsequently used in real-time estimation. The real-time procedure uses current traffic data and is efficient enough to scale …

Enhancing Bag-Of-Words Models By Efficient Semantics-Preserving Metric Learning, Lei Wu, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

The authors present an online semantics preserving, metric learning technique for improving the bag-of-words model and addressing the semantic-gap issue. This article investigates the challenge of reducing the semantic gap for building BoW models for image representation; propose a novel OSPML algorithm for enhancing BoW by minimizing the semantic loss, which is efficient and scalable for enhancing BoW models for large-scale applications; apply the proposed technique for large-scale image annotation and object recognition; and compare it to the state of the art.

An Effective Approach To Pose Invariant 3d Face Recognition, Dayong Wang, Steven C. H. Hoi, Ying He

Research Collection School Of Computing and Information Systems

One critical challenge encountered by existing face recognition techniques lies in the difficulties of handling varying poses. In this paper, we propose a novel pose invariant 3D face recognition scheme to improve regular face recognition from two aspects. Firstly, we propose an effective geometry based alignment approach, which transforms a 3D face mesh model to a well-aligned 2D image. Secondly, we propose to represent the facial images by a Locality Preserving Sparse Coding (LPSC) algorithm, which is more effective than the regular sparse coding algorithm for face representation. We conducted a set of extensive experiments on both 2D and 3D …

Exploring Identity Management At Community Colleges In Texas With Open Access To College Computer Networks, Michael John Callahan

Walden Dissertations and Doctoral Studies

The study addressed the lack of identity management practices in Texas community colleges to identify guest users who access college computers. Guest user access is required by Texas law and is part of the state's mission to bridge the technology gap; however, improper identification methods leave the college vulnerable to liability issues. The purpose of this study was to eliminate or mitigate liabilities facing colleges by creating and using security policies to identify guest users. This study combined the theoretical concepts of Cameron's internal security management model with the external trust models of the Liberty Alliance and Microsoft's Passport software. …

Biometrics Technology: Understanding Dynamics Influencing Adoption For Control Of Identification Deception Within Nigeria, Gideon U. Nwatu

Walden Dissertations and Doctoral Studies

One of the objectives of any government is the establishment of an effective solution to significantly control crime. Identity fraud in Nigeria has generated global attention and negative publicity toward its citizens. The research problem addressed in this study was the lack of understanding of the dynamics that influenced the adoption and usability of biometrics technology for reliable identification and authentication to control identity deception. The support for this study was found in the theoretical framework of the technology acceptance model (TAM). The purpose of the study was to provide scholarly research about the factors that influenced the adoption of …

Developing A Master Data Sharing Agreement: Seeking Student-Level Evidence To Support A Collaborative Community Effort In Education, Neil E. Carlson, Edwin Hernández, Chaná Edmond-Verley, Gustavo Rotondaro

University Faculty Publications and Creative Works

The authors, who represent a family foundation, a college, a university, and a public school system, describe the process of developing an agreement that allows student-level data to be shared for research and evaluation purposes. Keys to reaching the agreement included clear distinctions among roles and access to data, strict adherence to consent and confidentiality agreements, and a shared commitment to using data to improve student outcomes.

2d Face Database Diversification Based On 3d Face Modeling, Qun Wang, Jiang Li, Vijayan K. Asari, Mohammad A. Karim, Manuel Filipe Costa (Ed.)

Electrical & Computer Engineering Faculty Publications

Pose and illumination are identified as major problems in 2D face recognition (FR). It has been theoretically proven that the more diversified instances in the training phase, the more accurate and adaptable the FR system appears to be. Based on this common awareness, researchers have developed a large number of photographic face databases to meet the demand for data training purposes. In this paper, we propose a novel scheme for 2D face database diversification based on 3D face modeling and computer graphics techniques, which supplies augmented variances of pose and illumination. Based on the existing samples from identical individuals of …

Special Issue On Information Dissemination And New Services In P2p Systems, Min Song, Sachin Shetty, Wenbin Jiang, E. K. Park

Electrical & Computer Engineering Faculty Publications

Information dissemination is an important P2P application that has received considerable research attention in recent years. P2P information dissemination systems range from simple file sharing applications to more complex systems that allows users to securely and efficiently publish, organize, index, search, update and retrieve data in a distributed storage medium. For complex P2P information dissemination systems, there is a need for features which include security, anonymity, fairness, scalability, resource management, and organization capabilities. For effective information dissemination, following features of P2P systems and infrastructure need to be updated: distributed object location and routing mechanisms, novel approaches to content replication, caching …

Identity-Based Strong Designated Verifier Signature Revisited, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo

Research Collection School Of Computing and Information Systems

Designated verifier signature (DVS) allows the signer to persuade a verifier the validity of a statement but prevent the verifier from transferring the conviction. Strong designated verifier signature (SDVS) is a variant of DVS, which only allows the verifier to privately check the validity of the signer’s signature. In this work we observe that the unforgeability model considered in the existing identity-based SDVS schemes is not strong enough to capture practical attacks, and propose to consider another model which is shown to be strictly stronger than the old one. We then propose a new efficient construction of identity-based SDVS scheme, …

Combining Natural Language Processing And Statistical Text Mining: A Study Of Specialized Versus Common Languages, Jay Jarman

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms, such as association rule mining and decision tree induction, are used to discover classification rules for specific targets. This multi-stage pipeline approach is contrasted with traditional statistical text mining (STM) methods based on term counts and term-by-document frequencies. The aim is to create effective text analytic processes by adapting and combining individual …

User Experiments Of A Social, Faceted Multimedia Classification System, Liuliu Fu, Kurt Maly, Elizabeth Rasnick, Harris Wu, Mohammad Zubair

Computer Science Faculty Publications

Internet document sharing systems such as Flickr store billions of user-contributed images. Many collections on the Web contain large numbers of multimedia objects such as images. While such systems are designed to encourage user contributions and sharing, they are not well-organized collections on any given subject and are not easy to browse for specific subject matters. We have built a system that systematically organizes a large multimedia collection into an evolving faceted classification. This paper discusses the evaluation of such a system through a number of usage studies in a university setting.

Near-Duplicate Keyframe Retrieval By Semi-Supervised Learning And Nonrigid Image Matching, Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan

Research Collection School Of Computing and Information Systems

Near-duplicate keyframe (NDK) retrieval techniques are critical to many real-world multimedia applications. Over the last few years, we have witnessed a surge of attention on studying near-duplicate image/keyframe retrieval in multimedia community. To facilitate an effective approach to NDK retrieval on large-scale data, we suggest an effective Multi-Level Ranking (MLR) scheme that effectively retrieves NDKs in a coarse-to-fine manner. One key stage of the MLR ranking scheme is how to learn an effective ranking function with extremely small training examples in a near-duplicate detection task. To attack this challenge, we employ a semi-supervised learning method, semi-supervised support vector machines, which …

Randomly Projected Kd-Trees With Distance Metric Learning For Image Retrieval, Pengcheng Wu, Steven Hoi, Duc Dung Nguyen, Ying He

Research Collection School Of Computing and Information Systems

Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree) usually are only efficient for low dimensional data, but often perform no better than a simple exhaustive linear search when the number of dimensions is large enough. Recently, approximate NN search techniques have been proposed for high-dimensional search, such as Locality-Sensitive Hashing (LSH), which adopts some random projection approach. Motivated by similar idea, in this paper, we propose a new high dimensional NN search method, called Randomly Projected kd-Trees (RP-kd-Trees), which is to project data points into a lower-dimensional …

Efficient Strong Designated Verifier Signature Schemes Without Random Oracle Or With Non-Delegatability, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo

Research Collection School Of Computing and Information Systems

Designated verifier signature (DVS) allows a signer to convince a designated verifier that a signature is generated by the signer without letting the verifier transfer the conviction to others, while the public can still tell that the signature must be generated by one of them. Strong DVS (SDVS) strengthens the latter part by restricting the public from telling whether the signature is generated by one of them or by someone else. In this paper, we propose two new SDVS schemes. Compared with existing SDVS schemes, the first new scheme has almost the same signature size and meanwhile, is proven secure …