Active Video Summarization: Customized Summaries Via On-Line Interaction With The User,
2017
Singapore Management University
Active Video Summarization: Customized Summaries Via On-Line Interaction With The User, Ana Garcia Del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
To facilitate the browsing of long videos, automatic video summarization provides an excerpt that represents its content. In the case of egocentric and consumer videos, due to their personal nature, adapting the summary to specific user’s preferences is desirable. Current approaches to customizable video summarization obtain the user’s preferences prior to the summarization process. As a result, the user needs to manually modify the summary to further meet the preferences. In this paper, we introduce Active Video Summarization (AVS), an interactive approach to gather the user’s preferences while creating the summary. AVS asks questions about the summary to update it …
Let’S Try Something New: Service Learning In Boise State's Computer Science Department,
2017
Boise State University
Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk
International Journal of Undergraduate Community Engagement
In this article I explain how a group of Computer Science students at Boise State University participated in a new service learning project. I provide a few testimonials on the students’ experiences and describe the rewarding aspects of service learning in the greater Computer Science community.
An Annotated Corpus With Nanomedicine And Pharmacokinetic Parameters,
2017
Virginia Commonwealth University
An Annotated Corpus With Nanomedicine And Pharmacokinetic Parameters, Nastassja Lewinski, Ivan Jimenez, Bridget Mcinnes
Chemical and Life Science Engineering Publications
A vast amount of data on nanomedicines is being generated and published, and natural language processing (NLP) approaches can automate the extraction of unstructured text-based data. Annotated corpora are a key resource for NLP and information extraction methods which employ machine learning. Although corpora are available for pharmaceuticals, resources for nanomedicines and nanotechnology are still limited. To foster nanotechnology text mining (NanoNLP) efforts, we have constructed a corpus of annotated drug product inserts taken from the US Food and Drug Administration’s Drugs@FDA online database. In this work, we present the development of the Engineered Nanomedicine Database corpus to support the …
Parsing Metamap Files In Hadoop,
2017
Virginia Commonwealth University
Parsing Metamap Files In Hadoop, Amy Olex, Alberto Cano, Bridget T. Mcinnes
Computer Science Publications
The UMLS::Association CUICollector module identifies UMLS Concept Unique Identifier bigrams and their frequencies in a biomedical text corpus. CUICollector was re-implemented in Hadoop MapReduce to improve algorithm speed, flexibility, and scalability. Evaluation of the Hadoop implementation compared to the serial module produced equivalent results and achieved a 28x speedup on a single-node Hadoop system.
Road Accidents Bigdata Mining And Visualization Using Support Vector Machines,
2017
Wright State University - Main Campus
Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma
Kno.e.sis Publications
Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new …
Relatedness-Based Multi-Entity Summarization,
2017
Wright State University - Main Campus
Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng
Kno.e.sis Publications
Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and …
A Gamification Framework For Sensor Data Analytics,
2017
Western University
A Gamification Framework For Sensor Data Analytics, Alexandra L'Heureux, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz
Electrical and Computer Engineering Publications
The Internet of Things (IoT) enables connected objects to capture, communicate, and collect information over the network through a multitude of sensors, setting the foundation for applications such as smart grids, smart cars, and smart cities. In this context, large scale analytics is needed to extract knowledge and value from the data produced by these sensors. The ability to perform analytics on these data, however, is highly limited by the difficulties of collecting labels. Indeed, the machine learning techniques used to perform analytics rely upon data labels to learn and to validate results. Historically, crowdsourcing platforms have been used to …
Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment,
2017
Old Dominion University
Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu
Information Technology & Decision Sciences Faculty Publications
Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …
Qos Recommendation In Cloud Services,
2017
Old Dominion University
Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai
Information Technology & Decision Sciences Faculty Publications
As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud …
Industrial Wireless Sensor Networks 2016,
2017
Old Dominion University
Industrial Wireless Sensor Networks 2016, Qindong Sun, Schancang Li, Shanshan Zhao, Hongjian Sun, Li Xu, Arumugam Nallamathan
Information Technology & Decision Sciences Faculty Publications
The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models.
On The Security Of Nosql Cloud Database Services,
2017
University of Central Florida
On The Security Of Nosql Cloud Database Services, Mohammad Ahmadian
Electronic Theses and Dissertations
Processing a vast volume of data generated by web, mobile and Internet-enabled devices, necessitates a scalable and flexible data management system. Database-as-a-Service (DBaaS) is a new cloud computing paradigm, promising a cost-effective and scalable, fully-managed database functionality meeting the requirements of online data processing. Although DBaaS offers many benefits it also introduces new threats and vulnerabilities. While many traditional data processing threats remain, DBaaS introduces new challenges such as confidentiality violation and information leakage in the presence of privileged malicious insiders and adds new dimension to the data security. We address the problem of building a secure DBaaS for a …
Strategies To Prevent Security Breaches Caused By Mobile Devices,
2017
Walden University
Strategies To Prevent Security Breaches Caused By Mobile Devices, Tony Griffin
Walden Dissertations and Doctoral Studies
Data breaches happen almost every day in the United States and, according to research, the majority of these breaches occur due to a lack of security with organizations' mobile devices. Although most of the security policies related to mobile devices currently in place may meet the guidelines required by law, they often fail to prevent a data breach caused by a mobile device. The main purpose of this qualitative single case study was to explore the strategies used by security managers to prevent data breaches caused by mobile devices. The study population consisted of security managers working for a government …
Exploring Strategies For Early Identification Of Risks In Information Technology Projects,
2017
Walden University
Exploring Strategies For Early Identification Of Risks In Information Technology Projects, Nina Michele Mack-Cain
Walden Dissertations and Doctoral Studies
Project managers must ensure risk management and business justification for their projects. Approximately, 53% of IT projects failed due to project managers not identifying risks early in the projects' lifecycle. The purpose of this single case study was to explore strategies IT project managers utilize to identify risks early in the project's lifecycle. The study population consisted of 5 lead IT project managers from a telecom company located in the Midwest region of the United States who had managed IT projects. The conceptual framework that grounded this study was the general systems theory. The data collection process involved semistructured interviews, …
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling,
2017
Wright State University - Main Campus
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
Kno.e.sis Publications
Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …
Collaboration Strategies To Reduce Technical Debt,
2017
Walden University
Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko
Walden Dissertations and Doctoral Studies
Inadequate software development collaboration processes can allow technical debt to accumulate increasing future maintenance costs and the chance of system failures. The purpose of this qualitative case study was to explore collaboration strategies software development leaders use to reduce the amount of technical debt created by software developers. The study population was software development leaders experienced with collaboration and technical debt at a large health care provider in the state of California. The data collection process included interviews with 8 software development leaders and reviewing 19 organizational documents relating to software development methods. The extended technology acceptance model was used …
Data Mining By Grid Computing In The Search For Extrasolar Planets,
2017
Dublin Institute for Advanced Studies
Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]
Doctoral
A system is presented here to provide improved precision in ensemble differential photometry. This is achieved by using the power of grid computing to analyse astronomical catalogues. This produces new catalogues of optimised pointings for each star, which maximise the number and quality of reference stars available. Astronomical phenomena such as exoplanet transits and small-scale structure within quasars may be observed by means of millimagnitude photometric variability on the timescale of minutes to hours. Because of atmospheric distortion, ground-based observations of these phenomena require the use of differential photometry whereby the target is compared with one or more reference stars. …
Power Budgets For Cubesat Radios To Support Ground Communications And Inter-Satellite Links,
2017
Old Dominion University
Power Budgets For Cubesat Radios To Support Ground Communications And Inter-Satellite Links, Otilia Popescu
Engineering Technology Faculty Publications
CubeSats are a class of pico-satellites that have emerged over the past decade as a cost-effective alternative to the traditional large satellites to provide space experimentation capabilities to universities and other types of small enterprises, which otherwise would be unable to carry them out due to cost constraints. An important consideration when planning CubeSat missions is the power budget required by the radio communication subsystem, which enables a CubeSat to exchange information with ground stations and/or other CubeSats in orbit. The power that a CubeSat can dedicate to the communication subsystem is limited by the hard constraints on the total …
Ansi/Niso Z39.99-2017 Resourcesync Framework Specification,
2017
Old Dominion University
Ansi/Niso Z39.99-2017 Resourcesync Framework Specification, Kevin Ruthen, Jill Emery, Mark Doyle, Mark Needleman, Sue Baughman, Evan Owens, Oliver Pesch, Mike Dicus, Nassib Nassar, Tim Auger, Amy Kirchhoff, Sally Mccallum, Diana Magnoni, Paul Swanson, Gregory Grazevich, Nara Newcomer, Gregory Grazevich, Juha Hakala, Barbara Rapp, Beverly Geckle, Carol Brent, Gary Van Overborg, Rick Burke, Kristin Antelman, Scott Bernier, Pascal Calarco, John Dove, Lucy Harrison, Peter Murray, Christine Stohn, Julie Zhu, Todd Carpenter, Bernhard Haslhofer, Richard Jones, Martin Klein, Graham Klyne, Carl Lagoze, Stuart Lewis, Peter Murray, Michael Nelson, Shlomo Sanders, Robert Sanderson, Herbert Van De Sompel, Paul Walk, Simeon Warner, Zhiwu Xie, Jeff Young
Computer Science Faculty Publications
This ResourceSync specification describes a synchronization framework for the web consisting of various capabilities that allow third-party systems to remain synchronized with a server’s evolving resources. The capabilities may be combined in a modular manner to meet local or community requirements. This specification also describes how a server should advertise the synchronization capabilities it supports and how third-party systems may discover this information. The specification repurposes the document formats defined by the Sitemap protocol and introduces extensions for them.
Using An Online Learning Tutorial To Teach Rea Data Modelling In Accounting Information Systems Courses,
2017
Singapore Management University
Using An Online Learning Tutorial To Teach Rea Data Modelling In Accounting Information Systems Courses, Poh Sun Seow, Gary Pan
Research Collection School Of Accountancy
Online learning has been gaining widespread adoption due to its success in enhancing student-learning outcomes and improving student academic performance. This paper describes an online tutorial to teach resource-event-agent (REA) data modeling in an undergraduate accounting information systems course. The REA online tutorial reflects a self-study application designed to help students improve their understanding of the REA data model. As such, the tutorial acts as a supplement to lectures by reinforcing the concepts and incorporating practices to assess student understanding. Instructors can access the REA online tutorial at http://smu.sg/rea. An independent survey by the University's Centre for Teaching Excellence found …
Nursing Approaches For Use And Sustainability Of Barcode Medication Administration Technology,
2017
Walden University
Nursing Approaches For Use And Sustainability Of Barcode Medication Administration Technology, Jackson Ngigi Njeru
Walden Dissertations and Doctoral Studies
Approximately 43.4% of medication errors occur at the time of administration despite the use of bar code medication administration (BCMA) System. This trend has prompted a national effort to mitigate this problem in the United States. Implementing BCMA in health care settings is one of those efforts. Studies focusing on the approaches employed by nurses when using this system are scant. The purpose of this qualitative case study was to investigate strategies nurses and their leaders use to ensure BCMA is implemented, maximized, and sustained. The technology acceptance model was used to guide the study. The 2 research questions addressed …
