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2019

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Articles 2131 - 2160 of 3906

Full-Text Articles in Computer Sciences

An Interactive, Graphical Simulator For Teaching Operating Systems, Joshua W. Buck, Saverio Perugini Mar 2019

An Interactive, Graphical Simulator For Teaching Operating Systems, Joshua W. Buck, Saverio Perugini

Computer Science Faculty Publications

We demonstrate a graphical simulation tool for visually and interactively exploring the processing of a variety of events handled by an operating system when running a program. Our graphical simulator is available for use on the web by both instructors and students for purposes of pedagogy. Instructors can use it for live demonstrations of course concepts in class, while students can use it outside of class to explore the concepts. The graphical simulation tool is implemented using the React library for the fancy ui elements of the Node.js framework and is available as a web application at https://cpudemo.azurewebsites.net. The goals …

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A New Way To Detect Cyberattacks Extracting Changes In Register Values From Radio-Frequency Side Channels, Ronald A. Riley, James T. Graham, Ryan M. Fuller, Rusty O. Baldwin, Ashwin Fisher Mar 2019

A New Way To Detect Cyberattacks Extracting Changes In Register Values From Radio-Frequency Side Channels, Ronald A. Riley, James T. Graham, Ryan M. Fuller, Rusty O. Baldwin, Ashwin Fisher

Computer Science Faculty Publications

The Internet of Things (IoT) and the Internet of Everything (IoE) have driven processors into nearly every powered de- vice, from thermostats to refrigerators to light bulbs. From a security perspective, the IoT and IoE create a new layer of sig- nals and systems that can provide insight into the internal opera- tions of a device via analog side channels. Our research focuses on leveraging these analog side channels in IoT/IoE processors to detect intrusions. Our goal is to defend against cyberattacks that insert malware into IoT devices by detecting deviations in the code running on their processors from known …

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Forgotten Women In Adventism, Caitlin Jankiewicz Mar 2019

Forgotten Women In Adventism, Caitlin Jankiewicz

Lake Union Herald

No abstract provided.

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Examining The Social Aspect Of Climate Change Through Mathematics, Debasmita Basu, Nicole Panorkou, Michelle Zhu Mar 2019

Examining The Social Aspect Of Climate Change Through Mathematics, Debasmita Basu, Nicole Panorkou, Michelle Zhu

Department of Computer Science Faculty Scholarship and Creative Works

We designed an instructional module that seamlessly integrates mathematics, environmental science, and technology to help students think critically about climate change. The results from a design experiment in a sixth-grade classroom show that our tasks not only enhanced students' covariational reasoning in mathematics but also helped students identify the different traits of climate change they encounter every day in the news media.

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"Chicago Alliance For Equity In Computer Science (Cafecs): Cycles Of Improvement'' Poster In Special Session: A Discussion Of Research Practice Partnerships In Cs Education, Steven Mcgee, Lucia Dettori, Don Yanek, Andrew M. Rasmussen, Ronald I. Greenberg, Dale F. Reed, Erin Henrick Mar 2019

"Chicago Alliance For Equity In Computer Science (Cafecs): Cycles Of Improvement'' Poster In Special Session: A Discussion Of Research Practice Partnerships In Cs Education, Steven Mcgee, Lucia Dettori, Don Yanek, Andrew M. Rasmussen, Ronald I. Greenberg, Dale F. Reed, Erin Henrick

Computer Science: Faculty Publications and Other Works

CAFECS builds upon a long-term partnership between Chicago Public Schools (CPS), The Learning Partnership, Depaul University, Loyola University, and the University of Illinois Chicago. It was formed to support CPS in the enactment of it's high school CS grad requirement. This poster will describe the formation of CAFECS, how the partnership has evolved after formalizing as an RPP, its research agenda, and the process of assessing the progress of CAFECS.

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Gamification Of Enterprise Systems, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Craig C. Claybaugh, Perry B. Koob Mar 2019

Gamification Of Enterprise Systems, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Craig C. Claybaugh, Perry B. Koob

Business and Information Technology Faculty Research & Creative Works

Enterprise systems have become an integral part of an organization's operations. However, they also pose many challenges to organizations from the perspective of implementation, user training, as well as use and acceptance. Without effective usage, enterprise systems may not be able to provide the strategic or competitive advantages that organizations desire. Therefore, organizations may consider gamification to enhance training, acceptance, and usage. We discuss the various ways in which enterprise system challenges can be addressed through the lens of gamification and present a framework for gamification of enterprise systems. The framework is comprised of basic principles and key design elements …

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Conversational Agent: Developing A Model For Intelligent Agents With Transient Emotional States, Angie Dowdell Mar 2019

Conversational Agent: Developing A Model For Intelligent Agents With Transient Emotional States, Angie Dowdell

Theses and Dissertations

The demonstration of aggressive behaviors in the workplace can usually lead to negative professional consequences. However, combat-related professions may involve life and death decision making on an almost daily basis. This is one occupational area in which major duties may invoke or even require aggression. Today’s Army leaders face a different set of challenges than those faced by leaders of the past. Leaders of today must be trained to be both assertive and aggressive at the appropriate times while also displaying empathy. While this is not a new task for an Army leader, it is one that is approached differently …

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Collecting Virtual And Augmented Reality In The Twenty-First Century Library, Matthew Hannah, Sarah Huber, Sorin Adam Matei Mar 2019

Collecting Virtual And Augmented Reality In The Twenty-First Century Library, Matthew Hannah, Sarah Huber, Sorin Adam Matei

Matei Interdisciplinary Research Collaboratory

In this paper, we discuss possible pedagogical applications for virtual and augmented reality (VR and AR), within a humanities/social sciences curriculum, articulating a critical need for academic libraries to collect and curate 3D objects. We contend that building infrastructure is critical to keep pace with innovative pedagogies and scholarship. We offer theoretical avenues for libraries to build a repository 3D object files to be used in VR and AR tools and sketch some anticipated challenges. To build an infrastructure to support VR/AR collections, we have collaborated with College of Liberal Arts to pilot a program in which Libraries and CLA …

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International Nuclear Cyber Security Threat Landscape, Shannon Eggers, Charles Nickerson Mar 2019

International Nuclear Cyber Security Threat Landscape, Shannon Eggers, Charles Nickerson

Purdue Workshop on Nonproliferation: Technology and Approaches

The Idaho National Laboratory (INL) Nuclear Cyber Team (NCT) is a recognized leader in international nuclear cyber program assessments as well as nuclear cyber training development and delivery. This paper discusses how the NCT is implementing their vision to protect global nuclear infrastructure from cyber threats. Also outlined is the team’s perspectives on the global nuclear cyber threat landscape and the top ten approachable cyber security measures that can be applied to immediately improve a country’s nuclear cyber security posture.

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Fine-Grained Geolocation Of Tweets In Temporal Proximity, Wen Haw Chong, Ee Peng Lim Mar 2019

Fine-Grained Geolocation Of Tweets In Temporal Proximity, Wen Haw Chong, Ee Peng Lim

Research Collection School Of Computing and Information Systems

In fine-grained tweet geolocation, tweets are linked to the specific venues (e.g., restaurants, shops) fromwhich they were posted. This explicitly recovers the venue context that is essential for applications such aslocation-based advertising or user profiling. For this geolocation task, we focus on geolocating tweets that arecontained in tweet sequences. In a tweet sequence, tweets are posted from some latent venue(s) by the sameuser and within a short time interval. This scenario arises from two observations: (1) It is quite common thatusers post multiple tweets in a short time and (2) most tweets are not geocoded. To more accurately geolocatea tweet, …

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Characterizing And Identifying Reverted Commits, Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li Mar 2019

Characterizing And Identifying Reverted Commits, Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li

Research Collection School Of Computing and Information Systems

In practice, a popular and coarse-grained approach for recovering from a problematic commit is to revert it (i.e., undoing the change). However, reverted commits could induce some issues for software development, such as impeding the development progress and increasing the difficulty for maintenance. In order to mitigate these issues, we set out to explore the following central question: can we characterize and identify which commits will be reverted? In this paper, we characterize commits using 27 commit features and build an identification model to identify commits that will be reverted. We first identify reverted commits by analyzing commit messages and …

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Microbtc: Efficient, Flexible And Fair Micropayment For Bitcoin Using Hash Chains, Zhiguo Wan, Robert H. Deng, David Kuo Chuen Lee, Ying Li Mar 2019

Microbtc: Efficient, Flexible And Fair Micropayment For Bitcoin Using Hash Chains, Zhiguo Wan, Robert H. Deng, David Kuo Chuen Lee, Ying Li

Research Collection School Of Computing and Information Systems

While Bitcoin gains increasing popularity in different payment scenarios, the transaction fees make it difficult to be applied to micropayment. Given the wide applicability of micropayment, it is crucial for all cryptocurrencies including Bitcoin to provide effective support therein. In light of this, a number of low-cost micropayment schemes for Bitcoin have been proposed recently to reduce micropayment costs. Existing schemes, however, suffer from drawbacks such as high computation cost, inflexible payment value, and possibly unfair exchanges. The paper proposes two new micropayment schemes, namely the basic MicroBTC and the advanced MicroBTC, for Bitcoin by integrating the hash chain technique …

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Bing: Binarized Normed Gradients For Objectness Estimation At 300fps, Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr Mar 2019

Bing: Binarized Normed Gradients For Objectness Estimation At 300fps, Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr

Research Collection School Of Computing and Information Systems

Training a generic objectness measure to produce object proposals has recently become of significant interest. We observe that generic objects with well-defined closed boundaries can be detected by looking at the norm of gradients, with a suitable resizing of their corresponding image windows to a small fixed size. Based on this observation and computational reasons, we propose to resize the window to 8 × 8 and use the norm of the gradients as a simple 64D feature to describe it, for explicitly training a generic objectness measure. We further show how the binarized version of this feature, namely binarized normed …

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Timeline2gui: A Log2timeline Csv Parser And Training Scenarios, Mark Debinski, Parvathy Mohan, Frank Breitinger Mar 2019

Timeline2gui: A Log2timeline Csv Parser And Training Scenarios, Mark Debinski, Parvathy Mohan, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

Crimes involving digital evidence are getting more complex due to the increasing storage capacities and utilization of devices. Event reconstruction (i.e., understanding the timeline) is an essential step for investigators to understand a case where a prominent tool is Log2Timeline (a tool that creates super timelines which is a combination of several log files and events throughout a system). While these timelines provide great evidence and help to understand a case, they are complex and require tools as well as training scenarios. In this paper we present Timeline2GUI an easy-to-use python implementation to analyze CSV log files create by Log2Timeline. …

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Automation Tax Vs Robot-Tax, Vincent Ooi Mar 2019

Automation Tax Vs Robot-Tax, Vincent Ooi

Research Collection Yong Pung How School Of Law

The positive impact of developments in technology on the economy has historically outweighed the disruptive impact on employment. Society has benefited from the efficiency gains derived from the application of technology in production, while workers displaced by these technologies have largely been successfully retrained and employed in other jobs. However, the pace of development of the “Fourth Industrial Revolution” now presents a risk of mass displacement of human labour, particularly in tasks that are repetitive and menial. The “Fourth Industrial Revolution” is characterised by significant progress in a closely-linked cluster of areas such as robot dexterity, machine learning, processing power, …

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Semantic And Influence Aware K-Representative Queries Over Social Streams, Yanhao Wang, Yuchen Li, Kianlee Tan Mar 2019

Semantic And Influence Aware K-Representative Queries Over Social Streams, Yanhao Wang, Yuchen Li, Kianlee Tan

Research Collection School Of Computing and Information Systems

Massive volumes of data continuously generated on social platforms have become an important information source for users. A primary method to obtain fresh and valuable information from social streams is social search. Although there have been extensive studies on social search, existing methods only focus on the relevance of query results but ignore the representativeness. In this paper, we propose a novel Semantic and Influence aware k-Representative (k-SIR) query for social streams based on topic modeling. Specifically, we consider that both user queries and elements are represented as vectors in the topic space. A k-SIR query retrieves a set of …

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Welcome Message From The General Chairs, Nabil I. Alshurafa, Archan Misra, Abhishek Mukherji Mar 2019

Welcome Message From The General Chairs, Nabil I. Alshurafa, Archan Misra, Abhishek Mukherji

Research Collection School Of Computing and Information Systems

No abstract provided.

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Neural Network Based Detection Of Self-Admitted Technical Debt: From Performance To Explainability, Xiaoxue Ren, Zhenchang Xing, Xin Xia, David Lo, Xinyu Wang, John Grundy Mar 2019

Neural Network Based Detection Of Self-Admitted Technical Debt: From Performance To Explainability, Xiaoxue Ren, Zhenchang Xing, Xin Xia, David Lo, Xinyu Wang, John Grundy

Research Collection School Of Computing and Information Systems

Technical debt is a metaphor to reflect the tradeoff software engineers make between short term benefitsand long term stability. Self-admitted technical debt (SATD), a variant of technical debt, has been proposed to identify debt that is intentionally introduced during software development, e.g., temporary fixes and workarounds. Previous studies have leveraged human-summarized patterns (which represent n-gram phrases that can be used to identify SATD) or text mining techniques to detect SATD in source code comments. However, several characteristics of SATD features in code comments, such as vocabulary diversity, project uniqueness, length and semantic variations, pose a big challenge to the accuracy …

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An Artificial Bee Colony-Based Hybrid Approach For Waste Collection Problem With Midway Disposal Pattern, Qu Wei, Zhaoxia Guo, Hoong Chuin Lau, Zhenggang He Mar 2019

An Artificial Bee Colony-Based Hybrid Approach For Waste Collection Problem With Midway Disposal Pattern, Qu Wei, Zhaoxia Guo, Hoong Chuin Lau, Zhenggang He

Research Collection School Of Computing and Information Systems

This paper investigates a waste collection problem with the consideration of midway disposal pattern. An artificial bee colony (ABC)-based hybrid approach is developed to handle this problem, in which the hybrid ABC algorithm is proposed to generate the better optimum-seeking performance while a heuristic procedure is proposed to select the disposal trip dynamically and calculate the carbon emissions in waste collection process. The effectiveness of the proposed approach is validated by numerical experiments. Experimental results show that the proposed hybrid approach can solve the investigated problem effectively. The proposed hybrid ABC algorithm exhibits a better optimum-seeking performance than four popular …

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Suaa: A Secure User Authentication Scheme With Anonymity For The Single & Multi-Server Environments, Nassoro M. R. Lwamo, Liehuang Zhu, Chang Xu, Kashif Sharif, Ximeng Liu, Chuan Zhang Mar 2019

Suaa: A Secure User Authentication Scheme With Anonymity For The Single & Multi-Server Environments, Nassoro M. R. Lwamo, Liehuang Zhu, Chang Xu, Kashif Sharif, Ximeng Liu, Chuan Zhang

Research Collection School Of Computing and Information Systems

The rapid increase in user base and technological penetration has enabled the use of a wide range of devices and applications. The services are rendered to these devices from single-server or highly distributed server environments, irrespective of their location. As the information exchanged between servers and clients is private, numerous forms of attacks can be launched to compromise it. To ensure the security, privacy, and availability of the services, different authentication schemes have been proposed for both single-server and multi-server environments. The primary performance objective of such schemes is to prevent most (if not all) attacks, with minimal computational costs …

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See No Evil, Hear No Evil? Dissecting The Impact Of Online Hacker Forums, Wei T. Yue, Qiu-Hong Wang, Kai‐Lung Hui Mar 2019

See No Evil, Hear No Evil? Dissecting The Impact Of Online Hacker Forums, Wei T. Yue, Qiu-Hong Wang, Kai‐Lung Hui

Research Collection School Of Computing and Information Systems

Online hacker forums offer a prominent avenue for sharing hacking knowledge. Using a field dataset culled from multiple sources, we find that online discussion of distributed denial of service (DDOS) attacks in hackforums.net decreases the number of DDOS-attack victims. A 1% increase in discussion decreases DDOS attacks by 0.032% to 0.122%. This means that two DDOS-attack posts per day could reduce the number of victims by 700 to 2,600 per day. We find that discussion topics with similar keywords can variously increase or decrease DDOS attacks, meaning we cannot ascertain the impact of the discussion just by the post nature. …

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Design And Assessment Of Myoelectric Games For Prosthesis Training Of Upper Limb Amputees, Meeralakshmi Radhakrishnan, Asim Smailagic, Brian French, Daniel P. Siewiorek, Rajesh Krishna Balan Mar 2019

Design And Assessment Of Myoelectric Games For Prosthesis Training Of Upper Limb Amputees, Meeralakshmi Radhakrishnan, Asim Smailagic, Brian French, Daniel P. Siewiorek, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

In this paper, we present the design and evaluation of our system, which provides an engaging game-based pre-prosthesis training environment for upper limb transradial amputees. We believe that patients who train using such a training tool will demonstrate significantly higher improvement in functional performance tests using a myoelectric prosthesis than when conventional pre-prosthesis training protocols are used. We re-designed two simple games to be playable using three muscle contractions which are appropriate to pre-prosthesis exercises and are detected by an EMG-based arm sleeve. Through user studies conducted with 16 non-amputee subjects, we show that the proposed games are enjoyable, fun …

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Ict: In-Field Calibration Transfer For Air Quality Sensor Deployments, Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele Mar 2019

Ict: In-Field Calibration Transfer For Air Quality Sensor Deployments, Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele

Research Collection School Of Computing and Information Systems

Recent years have witnessed a growing interest in urban air pollution monitoring, where hundreds of low-cost air quality sensors are deployed city-wide. To guarantee data accuracy and consistency, these sensors need periodic calibration after deployment. Since access to ground truth references is often limited in large-scale deployments, it is difficult to conduct city-wide post-deployment sensor calibration. In this work we propose In-field Calibration Transfer (ICT), a calibration scheme that transfers the calibration parameters of source sensors (with access to references) to target sensors (without access to references). On observing that (i) the distributions of ground truth in both source and …

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An Examination Of The Correlation Of Exploring Computer Science Course Performance And The Development Of Programming Expertise, Steven Mcgee, Ronald I. Greenberg, Randi Mcgee-Tekula, Jennifer Duck, Andrew M. Rasmussen, Lucia Dettori, Dale F. Reed Mar 2019

An Examination Of The Correlation Of Exploring Computer Science Course Performance And The Development Of Programming Expertise, Steven Mcgee, Ronald I. Greenberg, Randi Mcgee-Tekula, Jennifer Duck, Andrew M. Rasmussen, Lucia Dettori, Dale F. Reed

Computer Science: Faculty Publications and Other Works

This study investigated patterns in the development of computational thinking and programming expertise in the context of the Exploring Computer Science (ECS) program, a high school introductory CS course and professional development program designed to foster deep engagement through equitable inquiry around CS concepts. Prior research on programming expertise has identified three general areas of development --- program comprehension, program planning, and program generation. The pedagogical practices in ECS are consistent with problem solving approaches that support the development of programming expertise. The study took place in a large urban district during the 2016--17 school year with 28 ECS teachers …

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Mirai Bot Scanner Summation Prototype, Charles V. Frank Jr. Mar 2019

Mirai Bot Scanner Summation Prototype, Charles V. Frank Jr.

Masters Theses & Doctoral Dissertations

The Mirai botnet deploys a distributed mechanism with each Bot continually scanning for a potential new Bot Victim. A Bot continually generates a random IP address to scan the network for discovering a potential new Bot Victim. The Bot establishes a connection with the potential new Bot Victim with a Transmission Control Protocol (TCP) handshake. The Mirai botnet has recruited hundreds of thousands of Bots. With 100,000 Bots, Mirai Distributed Denial of Service (DDoS) attacks on service provider Dyn in October 2016 triggered the inaccessibility to hundreds of websites in Europe and North America (Sinanović & Mrdovic, 2017). A month …

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Distributed Gibbs: A Linear-Space Sampling-Based Dcop Algorithm, Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan Mar 2019

Distributed Gibbs: A Linear-Space Sampling-Based Dcop Algorithm, Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan

Research Collection School Of Computing and Information Systems

Researchers have used distributed constraint optimization problems (DCOPs) to model various multi-agent coordination and resource allocation problems. Very recently, Ottens et al. proposed a promising new approach to solve DCOPs that is based on confidence bounds via their Distributed UCT (DUCT) sampling-based algorithm. Unfortunately, its memory requirement per agent is exponential in the number of agents in the problem, which prohibits it from scaling up to large problems. Thus, in this article, we introduce two new sampling-based DCOP algorithms called Sequential Distributed Gibbs (SD-Gibbs) and Parallel Distributed Gibbs (PD-Gibbs). Both algorithms have memory requirements per agent that is linear in …

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Picking Flowers In An Ico Garden, Fam Guo Teng, Paul R. Griffin, Andrew Koh Mar 2019

Picking Flowers In An Ico Garden, Fam Guo Teng, Paul R. Griffin, Andrew Koh

Research Collection School Of Computing and Information Systems

The rise of Initial Coin Offerings (ICO) in recent times and their potential for investment opportunities have investors spending a lot of time researching ICOs or having to follow the crowd. This paper aims to explore four broad factors of ICOs: identity, credibility, investor sentiment, and price movement to develop a framework that is useful in determining ICO quality. Research is shown using data sources including public forums, chat groups, web sites, white papers as well as smart contract details. Finally, a system, based on the framework, is proposed that can be used to detect and regulate ICO activities and …

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Api Recommendation For Event-Driven Android Application Development, Weizhao Yuan, Huu Hoang Nguyen, Lingxiao Jiang, Yuting Chen, Jianjun Zhao, Haibo Yu Mar 2019

Api Recommendation For Event-Driven Android Application Development, Weizhao Yuan, Huu Hoang Nguyen, Lingxiao Jiang, Yuting Chen, Jianjun Zhao, Haibo Yu

Research Collection School Of Computing and Information Systems

Context: Software development is increasingly dependent on existing libraries. Developers need help to find suitable library APIs. Although many studies have been proposed to recommend relevant functional APIs that can be invoked for implementing a functionality, few studies have paid attention to an orthogonal need associated with event-driven programming frameworks, such as the Android framework. In addition to invoking functional APIs, Android developers need to know where to place functional code according to various events that may be triggered within the framework.Objective: This paper aims to develop an API recommendation engine for Android application development that can recommend both (1) …

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Automatic, Highly Accurate App Permission Recommendation, Zhongxin Liu, Xin Xia, David Lo, John Grundy Mar 2019

Automatic, Highly Accurate App Permission Recommendation, Zhongxin Liu, Xin Xia, David Lo, John Grundy

Research Collection School Of Computing and Information Systems

To ensure security and privacy, Android employs a permission mechanism which requires developers to explicitly declare the permissions needed by their applications (apps). Users must grant those permissions before they install apps or during runtime. This mechanism protects users’ private data, but also imposes additional requirements on developers. For permission declaration, developers need knowledge about what permissions are necessary to implement various features of their apps, which is difficult to acquire due to the incompleteness of Android documentation. To address this problem, we present a novel permission recommendation system named PerRec for Android apps. PerRec leverages mining-based techniques and data …

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Making Wearable Sensing Less Obtrusive, Huy Vu Tran, Archan Misra Mar 2019

Making Wearable Sensing Less Obtrusive, Huy Vu Tran, Archan Misra

Research Collection School Of Computing and Information Systems

Sensing is a crucial part of any cyber-physical system. Wearable device has its huge potential for sensing applications because it is worn on the user body. However, wearable sensing can cause obtrusiveness to the user. Obtrusiveness can be seen as a perception of a lack of usefulness [1] such as a lag in user interaction channel. In addition, being worn by a user, it is not connected to a power supply, and thus needs to be removed to be charged regularly. This can cause a nuisance to elderly or disabled people. However, there are also opportunities for wearable devices to …

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