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Full-Text Articles in Computer Engineering

University Of Rhode Island Course Information Assistant, Daniel Gauthier May 2019

University Of Rhode Island Course Information Assistant, Daniel Gauthier

Senior Honors Projects

Personal voice-interactive systems have become ubiquitous in daily life. There are many of these digital assistants such as Siri, Alexa, and Google Assistant. The chances are high you have access to one right now. This technology has reached a point where the context of a conversation can be maintained, which is a vast improvement over earlier technology. Interactions without conversational context can limit interactions greatly and this was the case for previous digital assistants. Every time someone would say something to an assistant, it was like they were constantly changing operators on a customer service line. The assistants can now ...


An Analysis Of Project Setup And Organization In Software, Adam Fitzgibbon Mar 2018

An Analysis Of Project Setup And Organization In Software, Adam Fitzgibbon

Honors Theses, University of Nebraska-Lincoln

The setup of a software project can greatly influence how efficiently software can be built. In this paper, I will be discussing my experiences with various software projects and their setups. These experiences will be used as a basis to draw conclusions on the strengths and weaknesses of specific project setups in certain situations.

Because of the complexity of building software, there isn’t a project setup that works optimally for solving every type of software-based problem. The best approach is to know what variations would best fit the situation and make design decisions from there.


Mintbase V2.0: A Comprehensive Database For Trna-Derived Fragments That Includes Nuclear And Mitochondrial Fragments From All The Cancer Genome Atlas Projects., Venetia Pliatsika, Phillipe Loher, Rogan Magee, Aristeidis G. Telonis, Eric R. Londin, Megumi Shigematsu, Yohei Kirino, Isidore Rigoutsos Jan 2018

Mintbase V2.0: A Comprehensive Database For Trna-Derived Fragments That Includes Nuclear And Mitochondrial Fragments From All The Cancer Genome Atlas Projects., Venetia Pliatsika, Phillipe Loher, Rogan Magee, Aristeidis G. Telonis, Eric R. Londin, Megumi Shigematsu, Yohei Kirino, Isidore Rigoutsos

Computational Medicine Center Faculty Papers

MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments ('tRFs') found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets. We used our deterministic and exhaustive tRF mining pipeline to process all of The Cancer Genome Atlas datasets (TCGA). We identified 23 413 tRFs with abundance of ≥ 1.0 reads-per-million (RPM). To facilitate further studies of tRFs by the community, we just released version 2.0 of MINTbase that contains information about 26 531 distinct human tRFs from 11 719 human datasets as of October 2017. Key new elements include: the ...


Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee Sep 2016

Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee

Conference papers

Acquiring labels for large datasets can be a costly and time-consuming process. This has motivated the development of the semi-supervised learning problem domain, which makes use of unlabelled data — in conjunction with a small amount of labelled data — to infer the correct labels of a partially labelled dataset. Active Learning is one of the most successful approaches to semi-supervised learning, and has been shown to reduce the cost and time taken to produce a fully labelled dataset. In this paper we present Activist; a free, online, state-of-the-art platform which leverages active learning techniques to improve the efficiency of dataset labelling ...


Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Macnamee Sep 2016

Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Macnamee

Conference papers

Acquiring labels for large datasets can be a costly and time-consuming process. This has motivated the development of the semi-supervised learning problem domain, which makes use of unlabelled data — in conjunction with a small amount of labelled data — to infer the correct labels of a partially labelled dataset. Active Learning is one of the most successful approaches to semi-supervised learning, and has been shown to reduce the cost and time taken to produce a fully labelled dataset. In this paper we present Activist; a free, online, state-of-the-art platform which leverages active learning techniques to improve the efficiency of dataset labelling ...


Eventflowslicer: A Goal-Based Test Case Generation Strategy For Graphical User Interfaces, Jonathan Saddler Aug 2016

Eventflowslicer: A Goal-Based Test Case Generation Strategy For Graphical User Interfaces, Jonathan Saddler

Computer Science and Engineering: Theses, Dissertations, and Student Research

Automated test generation techniques for graphical user interfaces include model-based approaches that generate tests from a graph or state machine model of the interface, capture-replay methods that require the user to specify and demonstrate each test case individually, and modeling-language approaches that provide templates for abstract test cases. There has been little work, however, in automated goal-based testing, where the goal is a realistic user task, a function, or an abstract behavior. Recent work in human performance regression testing (HPRT) has shown that there is a need for generating multiple test cases that execute the same user task in different ...


Cloud-Based Secure Logger For Medical Devices, Hung Nguyen, Bipeen Acharya, Radoslav Ivanov, Andreas Haeberlen, Linh T.X. Phan, Oleg Sokolsky, Jesse Walker, James Weimer, C. William Hanson Iii, Insup Lee Jun 2016

Cloud-Based Secure Logger For Medical Devices, Hung Nguyen, Bipeen Acharya, Radoslav Ivanov, Andreas Haeberlen, Linh T.X. Phan, Oleg Sokolsky, Jesse Walker, James Weimer, C. William Hanson Iii, Insup Lee

Departmental Papers (CIS)

A logger in the cloud capable of keeping a secure, time-synchronized and tamper-evident log of medical device and patient information allows efficient forensic analysis in cases of adverse events or attacks on interoperable medical devices. A secure logger as such must meet requirements of confidentiality and integrity of message logs and provide tamper-detection and tamper-evidence. In this paper, we propose a design for such a cloud-based secure logger using the Intel Software Guard Extensions (SGX) and the Trusted Platform Module (TPM). The proposed logger receives medical device information from a dongle attached to a medical device. The logger relies on ...


Measuring The Effectiveness Of Software-Based Training To Improve The Spatial Visualization Skills Of Students In Stem Disciplines In Higher Education Institutions, Peter Cole Jan 2016

Measuring The Effectiveness Of Software-Based Training To Improve The Spatial Visualization Skills Of Students In Stem Disciplines In Higher Education Institutions, Peter Cole

Dissertations

This research investigates how software can be used to teach spatial skills leading to greater success in Science, Technology, Engineering, and Mathematical (STEM) fields. Existing research indicates that spatial skills can be taught and that good spatial skills are common to people who succeed in STEM fields. In this work, a software-only testing system with a direct targeted, training intervention module was implemented to measure and teach spatial skills using mental rotations, which are believed to be one of the most significant indicators of success in STEM fields. Spatial skills were tested using a standardized and validated test that measures ...


Flexc: Protein Flexibility Prediction Using Context-Based Statistics, Predicted Structural Features, And Sequence Information, Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li Jan 2016

Flexc: Protein Flexibility Prediction Using Context-Based Statistics, Predicted Structural Features, And Sequence Information, Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li

Computer Science Faculty Publications

The fluctuation of atoms around their average positions in protein structures provides important information regarding protein dynamics. This flexibility of protein structures is associated with various biological processes. Predicting flexibility of residues from protein sequences is significant for analyzing the dynamic properties of proteins which will be helpful in predicting their functions.


Exploring Discriminative Features For Anomaly Detection In Public Spaces, Shriguru Nayak, Archan Misra, Kasthuri Jeyarajah, Philips Kokoh Prasetyo, Ee-Peng Lim Apr 2015

Exploring Discriminative Features For Anomaly Detection In Public Spaces, Shriguru Nayak, Archan Misra, Kasthuri Jeyarajah, Philips Kokoh Prasetyo, Ee-Peng Lim

Research Collection School Of Information Systems

Context data, collected either from mobile devices or from user-generated social media content, can help identify abnormal behavioural patterns in public spaces (e.g., shopping malls, college campuses or downtown city areas). Spatiotemporal analysis of such data streams provides a compelling new approach towards automatically creating real-time urban situational awareness, especially about events that are unanticipated or that evolve very rapidly. In this work, we use real-life datasets collected via SMU's LiveLabs testbed or via SMU's Palanteer software, to explore various discriminative features (both spatial and temporal - e.g., occupancy volumes, rate of change in topic{specific tweets ...


Platform-Specific Timing Verification Framework In Model-Based Implementation, Baekgyu Kim, Lu Feng, Linh T. X. Phan, Oleg Sokolsky, Insup Lee Mar 2015

Platform-Specific Timing Verification Framework In Model-Based Implementation, Baekgyu Kim, Lu Feng, Linh T. X. Phan, Oleg Sokolsky, Insup Lee

Departmental Papers (CIS)

In the model-based implementation methodology, the timed behavior of the software is typically modeled independently of the platform-specific timing semantics such as the delay due to scheduling or I/O handling. Although this approach helps to reduce the complexity of the model, it leads to timing gaps between the model and its implementation. This paper proposes a platform-specific timing verification framework that can be used to formally verify the timed behavior of an implementation that has been developed from a platform-independent model. We first describe a way to categorize the interactions among the software, a platform, and the environment in ...


A Problem Solving Approach To Enterprise Filevault 2 Management And Integration, Nicholas Cobb Dec 2013

A Problem Solving Approach To Enterprise Filevault 2 Management And Integration, Nicholas Cobb

Masters Theses & Specialist Projects

Consumer technology adoption into large enterprise environments is occurring at an unprecedented rate. Employees require the flexibility and efficiency of using operating systems, computers, and mobility products they are familiar with and that enable their productivity. Due to this industry phenomenon, one large shipping enterprise must work to create solutions to integrate Apple’s OS X operating system into its traditional Windows-based operating environment. This level of integration must take place carefully to enable usability and foster the continued data security of enterprise assets. This paper describes the steps and methodology taken, as well as the rationale used, to accomplish ...


Understanding The Evolution Of Accounting For Software: Implications For An Ifrs World, Elizabeth Figeroid Jan 2011

Understanding The Evolution Of Accounting For Software: Implications For An Ifrs World, Elizabeth Figeroid

Undergraduate Honors Theses

Software is a relatively new, fast-growing, and ever more integrated part of the US and global economy. Where 20 years ago, software was often a standalone product (e.g. Microsoft Windows), in today's world software is a key and indivisible part of thousands of products that are sold every day, like Apple's iPhone and iPad.

The accounting guidance for software revenue recognition in the United States is a relatively new and fast-growing body of literature. Each iteration of software rulemaking has become more precise, diminishing the ability of corporate managements to interpret the literature in diverse ways. For ...


Graduate Curricula In Software Engineering And Software Assurance: Need And Recommendations, T. B. Hilburn, Andrew J. Kornecki Jan 2010

Graduate Curricula In Software Engineering And Software Assurance: Need And Recommendations, T. B. Hilburn, Andrew J. Kornecki

Electrical, Computer, Software and Systems Engineering - Daytona Beach

In discussions about the development and use of computer systems and software products, the term “professional software engineer” is used repeatedly. In the last two decades there has been significant effort devoted to enhancing and advancing the state of professional software engineering (SwE) – new software engineering processes, methods, tools, and practices; creation of a software engineering body of knowledge [1]; development of a code of ethics and professional conduct [2], and software certification and licensing programs [3] . In 1989 the Software Engineering Institute (SEI) of Carnegie Mellon University published a landmark report on graduate education in software engineering [4]. The ...