Physical Sciences and Mathematics Commons^™

Factors That Affect Information And Communication Technology Adoption By Small Businesses In China, Jie Xiong, Sajda Qureshi, Lotfollah Najjar

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Emerging economies appear to be powering growth in their regions. While China is seen to lead growth in the emerging markets of Asia, 98% of its manufacturing and production base is powered by small businesses. These businesses represent the majority of all businesses in emerging countries and their growth increases with their successful adoption of Information Technology. As the driving force behind the economic growth of China, Information and Communications Technologies (ICTs) are shaping the ways in which small businesses are able to grow. The majority of current research into the user acceptance and adoption of ICTs focusses on the …

A Model Of Icts Adoption For Sustainable Development: An Investigation Of Small Business In The United States And China, Jie Xiong, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

No abstract provided.

Detecting Mobility Patterns In Mobile Phone Data From The Ivory Coast, Matthew Dixon, Spencer P. Aiello, Funmi Fapohunda, William Goldstein

Business Analytics and Information Systems

This paper investigates the Data for Development (D4D) challenge [3], an open challenge set by the French mobile phone company, Orange, who have provided anonymized records of their customers in the Ivory Coast. This data spans a 5 month (150 day) horizon spread across 4 different sets containing antenna-to-antenna traffic, trace data for 50,000 customers at varying spatial resolution, and social graphs for 5,000 customers. By leveraging cloud-based and open-source analytics infrastructure to (1) merge the D4D datasets with Geographic Information System (GIS) data and (2) apply data mining algorithms, this paper presents a number of techniques for detecting mobility …

Accelerating Rdbms Operations Using Gpus, Jason V. Ma

Jason V Ma

This survey paper reviews how the Graphical Processing Unit (GPU) can be leveraged by accelerating queries for the Relational Database Management System. Queries can be accelerated in many ways like optimizing primitives, using an opcode execution model, using an in memory database, kernel fusion, batching and data placement. Data trans- fer remains a significant bottleneck and thus the mitigation methods such as database compression, differential update and unified address space are reviewed.

An Effective End-User Development Approach Through Domain-Specific Mashups For Research Impact Evaluation. (Executive Summary), Muhammad Imran

Muhammad Imran

Over the last decade, there has been growing interest in the assessment of the performance of researchers, research groups, universities and even countries. The assessment of productivity is an instrument to select and promote personnel, assign research grants and measure the results of research projects. One particular assessment approach is bibliometrics i.e., the quantitative analysis of scientific publications through citation and content analysis. However, there is little consensus today on how research evaluation should be performed, and it is commonly acknowledged that the quantitative metrics available today are largely unsatisfactory. The process is very often highly subjective, and there are …

Comparative Study Of Biological And Artificial Neural Networks, O S. Eluyode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,

Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,

In this research project, the features of biological and artificial neural networks were studied by reviewing the existing works of authorities in print and electronics on biological and artificial neural networks. The features were then assessed and evaluated and comparative analysis of the two networks was carried out. The metrics such as structures, layers, size and functional capabilities of neurons, learning capabilities, style of computation, processing elements, processing speed, connections, strength, information storage, information transmission, communication media selection, signal transduction and fault tolerance were used as basis for comparison. A major finding in the research showed that artificial neural networks …

Utilizing Cyber Espionage To Combat Terrorism, Gary Adkins

Open Access Theses & Dissertations

The world has effectively exited the Industrial Age and is firmly planted in the Information Age. Global communication at the speed of light has been a great asset to both businesses and private citizens. However, there is a dark side to the age we live in, where terrorist groups are able to communicate, plan, fund, recruit, and spread their message to the world. The relative anonymity the internet provides hinders law enforcement and security agencies in not only locating would-be terrorists but also in disrupting their operations. The internet is a loosely knit group of computers and routers and is …

A Semantic Web-Based Methodology For Describing Scientific Research Efforts, Aida Gandara

Open Access Theses & Dissertations

Scientists produce research resources that are useful to future research and innovative efforts. In a typical scientific scenario, the results created by a collaborative team often include numerous artifacts, observations and relationships relevant to research findings, such as programs that generate data, parameters that impact outputs, workflows that describe processes, and publications, posters and presentations that explain results and findings. Scientists have options in what results to share and how to share them, however, there is no systematic approach to documenting scientific research and sharing it on the Web.

The goal of this research is to define a systematic approach …

Logical Linked Data Compression, Amit Krishna Joshi, Pascal Hitzler, Guozhu Dong

Computer Science and Engineering Faculty Publications

Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is becoming increasingly important. In this study, we introduce a novel lossless compression technique for RDF datasets, called Rule Based Compression (RB Compression) that compresses datasets by generating a set of new logical rules from the dataset and removing triples that can be inferred from these rules. Unlike other compression techniques, our approach not only takes advantage of syntactic verbosity and data redundancy but also utilizes semantic associations present in the RDF graph. Depending on the nature of the dataset, …

Information Measures For Statistical Orbit Determination, Alinda Kenyana Mashiku

Open Access Dissertations

The current Situational Space Awareness (SSA) is faced with a huge task of tracking the increasing number of space objects. The tracking of space objects requires frequent and accurate monitoring for orbit maintenance and collision avoidance using methods for statistical orbit determination. Statistical orbit determination enables us to obtain estimates of the state and the statistical information of its region of uncertainty given by the probability density function (PDF). As even collision events with very low probability are important, accurate prediction of collisions require the representation of the full PDF of the random orbit state. Through representing the full PDF …

Analysis Of Android Update Packages As A Method To Load Forensic Utilities And Malicious Applications To An Android Device, Mark Lohrum

Open Access Theses

Android devices are extremely popular and are projected to stay popular. Both forensic tools and malware exist designed specifically for Android devices. The purpose of this study is to explore a new method of loading forensic tools and malware to Android devices. This new method is the update module, which is used to install updates to the operating system. This thesis proposed and completed research to test four different custom update packages on three different Android devices. Two of the update packages contain forensic utilities and the other two contain malicious tools. An update package collecting web history using the …

The Role Of Test Administrator And Error, Michael Edward Brockly

Open Access Theses

This study created a framework to quantify and mitigate the amount of error that test administrators introduced to a biometric system during data collection. Prior research has focused only on the subject and the errors they make when interacting with biometric systems, while ignoring the test administrator. This study used a longitudinal data collection, focusing on demographics in government identification forms such as driver's licenses, fingerprint metadata such a moisture and skin temperature, and face image compliance to an ISO best practice standard. Error was quantified from the first visit and baseline test administrator error rates were measured. Additional training, …

A Comparative Analysis Of Open Source Storage Area Networks With Esxi 5.1, Robert M. Trinkle

Open Access Theses

Storage Area Networks have increased in popularity with the advancement of virtualization technologies. SANs consist of a central repository of hard disks allowing multiple clients to access and share data over a computer network. In recent years, multiple commercial and open source SAN technologies have been introduced to the market. Unlike commercial products, the open source SAN technologies lack formal documentation and research making implementation best practices scarce. This research analyzed the performance of different SAN architectures and implementation strategies. In addition, this paper expands upon previous research by using current hardware and software technologies. The test results of prominent …

An Analysis Of Underlying Competencies And Computer And Information Technology Learning Objectives For Business Analysis, Ryan Thomas Quigley

Open Access Theses

This research examines whether the Computer and Information Technology (CIT) department at Purdue University should develop a business analyst concentration. The differences between system and business analysts, evolution of the business analyst profession, job demand and trends, and applicable model curricula were explored to support this research. Review of relevant literature regarding the topics suggested that a business analyst concentration should be developed. A gap analysis was performed to determine how well selected CIT courses address the skills and competencies required by today's business analysts. The primary finding, as a result of the analysis, was that CIT courses alone are …

Gradeboard: A Cloud-Based Solution For A Student Grading System, Manoj Kulkarni

Theses Digitization Project

The purpose of the GradeBoard application is to develop a mobile application as a front end to interact with data stored in a cloud-based system. It leverages cloud computing features such as auto-scaling, load-balancing and NoSQL data stores. The GradeBoard application helps instructors keep track of student activities and gives students an opportunity to know how they are performing by comparing their grades with other students through a game-like leader board interface, thus creating a competitive environment in the class. Contains source code.

Queuepay.Com: Building A System For Cardholders' Transaction Security, Jose Ramon Gonzalez

Theses Digitization Project

The purpose of this project was to apply the skills learned in the MBA program to help develop a solution to a problem that costs billions of dollars every year in fraudulent related losses arising from the use of payment cards such as debit cards, credit cards, charge cards or prepaid cards. The project analyzes the industry of payment cards, the emergence of the problem, and builds a prototype that addresses the problem. Queuepay.com is designed to provide services to its cardholders that will significantly reduce the risk of fraud.

California State University, San Bernardino Managing Cloud Computing Resources With Cloudstack Using Kvm Hypervisor, Ian Buckner Jacobs

Theses Digitization Project

The purpose of this project is to present a detailed description of the Enterprise Cloud Computing implementation of CloudStack using KVM. It will explain the purpose and features of the system, the interfaces of the system, what the system will do, and the constraints or limitations implementing CloudStack with the hardware available for this study.

Gradebadge: Development Of A Cloud-Based Reward Application, Erwin Toni Soekianto

Theses Digitization Project

The purpose of this project is to investigate the use of cloud-based services to deliver cutting edge applications. For this purpose, a prototype of a reward application using badges, called Gradebadge, was developed to illustrate and explore this emerging paradigm.

Traffic Analytics Using Probabilistic Graphical Models Enhanced With Knowledge Bases, Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Graphical models have been successfully used to deal with uncertainty, incompleteness, and dynamism within many domains. These models built from data often ignore preexisting declarative knowledge about the domain in the form of ontologies and Linked Open Data (LOD) that is increasingly available on the web. In this paper, we present an approach to leverage such 'top-down' domain knowledge to enhance 'bottom-up' building of graphical models. Specifically, we propose three operations on the graphical model structure to enrich it with nodes, edges, and edge directions. We illustrate the enrichment process using traffic data from 511.org and declarative knowledge from ConceptNet. …

Advancing Data Reuse In Phyloinformatics Using An Ontology-Driven Semantic Web Approach, Maryam Panahiazar, Amit P. Sheth, Ajith Harshana Ranabahu, Rutger Vos, Jim Leebens-Mack

Kno.e.sis Publications

Phylogenetic analyses can resolve historical relationships among genes, organisms or higher taxa. Understanding such relationships can elucidate a wide range of biological phenomena, including, for example, the importance of gene and genome duplications in the evolution of gene function, the role of adaptation as a driver of diversification, or the evolutionary consequences of biogeographic shifts. Phyloinformaticists are developing data standards, databases and communication protocols (e.g. Application Programming Interfaces, APIs) to extend the accessibility of gene trees, species trees, and the metadata necessary to interpret these trees, thus enabling researchers across the life sciences to reuse phylogenetic knowledge. Specifically, Semantic Web …

A Hybrid Approach To Finding Relevant Social Media Content For Complex Domain Specific Information Needs, Delroy H. Cameron, Amit P. Sheth, Nishita Jaykumar, Gaurish Anand, Krishnaprasad Thirunarayan, Gary Alan Smith

Kno.e.sis Publications

While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex, domain specific information needs. Some complex search situations require knowledge of both ontological concepts as well as 'intelligible constructs' not typically modeled in ontologies. Intelligible constructs convey essential information, which may be important to the holistic information needs of information seekers. Such constructs may include notions of intensity, frequency, interval, dosage, emotion, sentiment, equivalence, synonymy, negation, parts-of-speech, etc. However, few search systems utilize both structured background knowledge (ontologies) and the aforementioned knowledge for query interpretation in domain specific searches. Instead, there is …

Twitris: Socially Influenced Browsing, Ashutosh Sopan Jadhav, Wenbo Wang, Raghava Mutharaju, Pramod Anantharam, Vinh Nguyen, Amit P. Sheth, Karthik Gomadam, Meenakshi Nagarajan, Ajith Harshana Ranabahu

Kno.e.sis Publications

In this paper, we present Twitris, a semantic Web application that facilitates browsing for news and information, using social perceptions as the fulcrum. In doing so we address challenges in large scale crawling, processing of real time information, and preserving spatio-temporal-thematic properties central to observations pertaining to real time events. We extract metadata about events from Twitter and bring related news and Wikipedia articles to the user. In developing Twitris, we have used the DBPedia ontology.

Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes

Kno.e.sis Publications

The recent years have seen an increase in interest for knowledge repositories that are useful across applications, in contrast to the creation of ad hoc or application-specific databases.
These knowledge repositories figure as a central provider of unambiguous identifiers and semantic relationships between entities. As such, these shared entity descriptions serve as a common vocabulary to exchange and organize information in different formats and for different purposes. Therefore, there has been remarkable interest in systems that are able to automatically tag textual documents with identifiers from shared knowledge repositories so that the content in those documents is described in a …

The Quality Measurement Of China High-Technology Exports, Jie Xiong, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Publications

The foreign-led processing trade is an important driving factor in the process of China's rapid economic growth. Since the reform and opening up, China's foreign trade is growing rapidly with the product structure upgrading. Even so, the products made in China are still the byword of the low quality. To a large extent, China's export structure is not due to the local enterprises improving the technical content of the export, but to the processing trade and foreign enterprises participation. More and more study is focusing on the export product quality analysis and its influencing factors. However, it also obscures the …

Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean

Journal of Business & Technology Law

No abstract provided.

Toward New Data And Information Management Solutions For Data-Intensive Ecological Research, Christine Marie Laney

Open Access Theses & Dissertations

Ecosystem health is deteriorating in many parts of the world due to direct and indirect anthropogenic pressures. Generating accurate, useful, and impactful models of past, current, and future states of ecosystem structure and function is a complex endeavor that often requires vast amounts of data from multiple sources and knowledge from collaborating researchers. Ecological data collection has improved rapidly over the past few decades due to the development, innovation, and large scale deployment of automated sensors, which are capable of measuring a gamut of ecosystem properties over broad spatiotemporal scales. Although complex ecosystem models and analyses are increasingly parameterized with …

‘What’S In The Niddk Cdr?’—Public Query Tools For The Niddk Central Data Repository, Huaqin Pan, Mary-Anne Ardini, Vesselina Bakalov, Michael Delatte, Paul Eggers, Laxminarayana Ganapathi, Craig R. Hollingsworth, Joshua Levy, Sheping Li, Joseph Pratt, Norma Pugh, Ying Qin, Rebekah Rasooly, Helen Ray, Jean E. Richardson, Amanda Flynn Riley, Susan M. Rogers, Sylvia Tan, Charles F. Turner, Stacie White, Philip C. Cooley

Publications and Research

The National Institute of Diabetes and Digestive Disease (NIDDK) Central Data Repository (CDR) is a web-enabled resource available to researchers and the general public. The CDR warehouses clinical data and study documentation from NIDDK funded research, including such landmark studies as The Diabetes Control and Complications Trial (DCCT, 1983–93) and the Epidemiology of Diabetes Interventions and Complications (EDIC, 1994–present) follow-up study which has been ongoing for more than 20 years. The CDR also houses data from over 7 million biospecimens representing 2 million subjects. To help users explore the vast amount of data stored in the NIDDK CDR, we developed …

Visual-Textual Joint Relevance Learning For Tag-Based Social Image Search, Yue Gao, Meng Wang, Zheng-Jun Zha, Jialie Shen, Xuelong Li, Xindong Wu

Research Collection School Of Computing and Information Systems

With the popularity of social media websites, extensive research efforts have been dedicated to tag-based social image search. Both visual information and tags have been investigated in the research field. However, most existing methods use tags and visual characteristics either separately or sequentially in order to estimate the relevance of images. In this paper, we propose an approach that simultaneously utilizes both visual and textual information to estimate the relevance of user tagged images. The relevance estimation is determined with a hypergraph learning approach. In this method, a social image hypergraph is constructed, where vertices represent images and hyperedges represent …

Business Intelligence And Analytics: Research Directions, Ee Peng Lim, Hsinchun Chen, Guoqing Chen

Research Collection School Of Computing and Information Systems

Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine …

Towards Next-Generation Multimedia Recommendation Systems, Jialie Shen, Shuicheng Yan, Xian-Sheng Hua

Research Collection School Of Computing and Information Systems

Empowered by advances in information technology, such as social media network, digital library and mobile computing, there emerges an ever-increasing amounts of multimedia data. As the key technology to address the problem of information overload, multimedia recommendation system has been received a lot of attentions from both industry and academia. This course aims to 1) provide a series of detailed review of state-of-the-art in multimedia recommendation; 2) analyze key technical challenges in developing and evaluating next generation multimedia recommendation systems from different perspectives and 3) give some predictions about the road lies ahead of us.