Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

13,173 Full-Text Articles 16,708 Authors 4,117,996 Downloads 202 Institutions

All Articles in Computer Engineering

Faceted Search

13,173 full-text articles. Page 1 of 449.

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro 2020 Seattle University School of Law

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro

Seattle Journal of Technology, Environmental & Innovation Law

No abstract provided.


Decoding Ldpc Codes With Probabilistic Local Maximum Likelihood Bit Flipping, Rejoy Roy Mathews 2020 Utah State University

Decoding Ldpc Codes With Probabilistic Local Maximum Likelihood Bit Flipping, Rejoy Roy Mathews

All Graduate Theses and Dissertations

Communication channels are inherently noisy making error correction coding a major topic of research for modern communication systems. Error correction coding is the addition of redundancy to information transmitted over communication channels to enable detection and recovery of erroneous information. Low-density parity-check (LDPC) codes are a class of error correcting codes that have been effective in maintaining reliability of information transmitted over communication channels. Multiple algorithms have been developed to benefit from the LDPC coding scheme to improve recovery of erroneous information. This work develops a matrix construction that stores the information error probability statistics for a communication channel. This ...


Case Study: Verifying The Safety Of An Autonomous Racing Car With A Neural Network Controller, Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George Pappas, Insup Lee 2020 University of Pennsylvania

Case Study: Verifying The Safety Of An Autonomous Racing Car With A Neural Network Controller, Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George Pappas, Insup Lee

Departmental Papers (CIS)

This paper describes a verification case study on an autonomous racing car with a neural network (NN) controller. Although several verification approaches have been recently proposed, they have only been evaluated on low-dimensional systems or systems with constrained environments. To explore the limits of existing approaches, we present a challenging benchmark in which the NN takes raw LiDAR measurements as input and outputs steering for the car. We train a dozen NNs using reinforcement learning (RL) and show that the state of the art in verification can handle systems with around 40 LiDAR rays. Furthermore, we perform real experiments to ...


Super Education For Supercomputers, Ezgi Gursel, Jeremy Evert 2020 Southwestern Oklahoma State University

Super Education For Supercomputers, Ezgi Gursel, Jeremy Evert

Student Research

Supercomputing (1 OOX more powerful than a desktop) allows organizations to solve complex problems that are not easily studied in any other way (ex. Blue Waters to simulate the known universe since the beginning of time for the design of the James Webb telescope). Producing qualified individuals to take advantage of the growing number of supercomputing jobs is a constant struggle. This poster provides an overview of education in supercomputing, explains how training occurs, and describes some of the key players working to educate a taskforce to deal with these highly complex machines.


Simultaneous Localization And Mapping Analysis, Jacob Miller, Kurtis Clark, Jeremy Evert 2020 Southwestern Oklahoma State University

Simultaneous Localization And Mapping Analysis, Jacob Miller, Kurtis Clark, Jeremy Evert

Student Research

Objectives

? Simulate virtual robot for test and analysis
? Analyze SLAM solutions using ROS
? Assemble a functional Turtlebot
? Emphasize projects related to current research trajectories for NASA, and general robotics applications


Robot Simulation Analysis, Kurtis Clark, Jacob Miller, Jeremy Evert 2020 Southwestern Oklahoma State University

Robot Simulation Analysis, Kurtis Clark, Jacob Miller, Jeremy Evert

Student Research

Objectives

? Build a tutorial targeted to Middle School and High School Students to get ROS running on a Virtual Machine
? Make ROS and it's simulations approachable to middle school and high school students.


Using Supercomputers To Control Multiple Robots, Andrew Roberts, Jeremy Evert 2020 Southwestern Oklahoma State University

Using Supercomputers To Control Multiple Robots, Andrew Roberts, Jeremy Evert

Student Research

Supercomputers have been a key enabler to many technological advancements. The pipeline to develop capable supercomputer users is years long. Getting started with a supercomputer can be difficult. As a part of the XSEDE EMPOWER Learner program, this research focuses super-computer user development. SWOSU students do not have working code for many of the training modules available for learning supercomputing. This research details the development of these codes based on materials provided by the Nation-al Science Foundation, Shodor Foundation, and National Center for Supercomputing Applications. The result of this research is a better understand-ing of supercomputing training and more tools ...


Innovation In Pedagogy And Technology Symposium, 2019: Selected Conference Proceedings, University of Nebraska Online, University of Nebraska Information Technology Services 2020 University of Nebraska - Lincoln

Innovation In Pedagogy And Technology Symposium, 2019: Selected Conference Proceedings, University Of Nebraska Online, University Of Nebraska Information Technology Services

Zea E-Books

Advancing Technology in Education at the University of Nebraska, May 7, 2019

Welcome Address ? Susan Fritz, Ph.D., Executive Vice President and Provost, University of Nebraska 6

Opening Remarks ? Mary Niemiec, Associate Vice President for Digital Education, Director of University of Nebraska Online 6

Keynote Presentation: Shaping the Next Generation of Higher Education ? Bryan Alexander, Ph.D. 6

Featured Extended Presentation: Redesigning Courses & Determining Effectiveness Through Research ? Tanya Joosten, University of Wisconsin-Milwaukee (UWM), Erin Blankenship, Ph.D. (UNL), Ella Burnham (UNL), Nate Eidem, Ph.D. (UNK), Marnie Imhoff (UNMC), Linsey Donner (UNMC), Ellie Miller (UNMC) 7

5 Ways to Utilize ...


W-Gun: Whale Optimization For Energy And Delay-Centric Green Underwater Networks, Rajkumar Singh Rathore, Houbing Song, Suman Sangwan, Sukriti Mazumdar, Omprakash Kaiwartya, Kabita Adhikari, Rupak Kharel 2020 Deenbandhu Chhotu Ram University of Science and Technology

W-Gun: Whale Optimization For Energy And Delay-Centric Green Underwater Networks, Rajkumar Singh Rathore, Houbing Song, Suman Sangwan, Sukriti Mazumdar, Omprakash Kaiwartya, Kabita Adhikari, Rupak Kharel

Publications

Underwater sensor networks (UWSNs) have witnessed significant R&D attention in both academia and industry due to their growing application domains, such as border security, freight via sea or river, natural petroleum production and the fishing industry. Considering the deep underwater-oriented access constraints, energy-centric communication for the lifetime maximization of tiny sensor nodes in UWSNs is one of the key research themes in this domain. Existing literature on green UWSNs are majorly adapted from the existing techniques in traditional wireless sensor network relying on geolocation and the quality of service-centric underwater relay node selection, without paying much attention to the ...


Calibrated Prediction With Covariate Shift Via Unsupervised Domain Adaptation, Sangdon Park, Osbert Bastani, James Weimer, Insup Lee 2020 University of Pennsylvania

Calibrated Prediction With Covariate Shift Via Unsupervised Domain Adaptation, Sangdon Park, Osbert Bastani, James Weimer, Insup Lee

Departmental Papers (CIS)

Reliable uncertainty estimates are an important tool for helping autonomous agents or human decision makers understand and leverage predictive models. However, existing approaches to estimating uncertainty largely ignore the possibility of covariate shift—i.e., where the real-world data distribution may differ from the training distribution. As a consequence, existing algorithms can overestimate certainty, possibly yielding a false sense of confidence in the predictive model. We propose an algorithm for calibrating predictions that accounts for the possibility of covariate shift, given labeled examples from the training distribution and unlabeled examples from the real-world distribution. Our algorithm uses importance weighting to ...


Web Application For Movie Performance Prediction, Devalkumar Patel 2020 California State University, San Bernardino

Web Application For Movie Performance Prediction, Devalkumar Patel

Electronic Theses, Projects, and Dissertations

This is an amazing and unique idea for the web application. The purpose of this application is to address those movie lover people who is always in a hurry to visit the theatre to watch upcoming movies irrespective of which star cast is in it. This system is a mixture of desktop applications, python libraries, and simple math arithmetic. The application can be used by anyone which is ultimately helping them to decide, either they should watch the movie or not. The user just submits the name of the movie. This application is developed in Visual Studio 2019 for functioning ...


A Mock Software Company: For Teaching Software Engineering (Cse 455) Course, Arturo Concepcion 2020 California State University, San Bernardino

A Mock Software Company: For Teaching Software Engineering (Cse 455) Course, Arturo Concepcion

Q2S Enhancing Pedagogy

This is a novel way of teaching software engineering as an upper-division course for senior computer science students. Teach the class as a mock software company where students play a role in the “software company” such as project managers, assistant project managers, team leads, software engineers, software designers, UI designers, QA engineers, etc. Then to make a realistic work environment, solicit software projects from real clients, not toy software projects that the instructors think of. It has been proven, pedagogically, that project-based learning is one of the most effective way of teaching. There are no quizzes, no mid-terms, and no ...


Analysis Of Cloud Bursting On Openstack Infrastructure To Aws, Bao Pham, Ronald C. Jones, Majid Shaalan 2020 Harrisburg University of Science and Technology

Analysis Of Cloud Bursting On Openstack Infrastructure To Aws, Bao Pham, Ronald C. Jones, Majid Shaalan

Other Student Works

Cloud computing is the development of distributed and parallel computing that seeks to provide a new model of business computing by automating services and efficiently storing proprietary data. Cloud bursting is one of the cloud computing techniques that adopts the hybrid cloud model which seeks to expand the resources of a private cloud through the integration with a public cloud infrastructure. In this paper, the viability of cloud bursting is experimented and an attempt to integrate AWS EC2 onto an Openstack cloud environment using the Openstack OMNI driver is conducted.


Apps For Actionable Workflows: Tools To Stay In The Loop And On Top Of Tasks, Rachel S. Evans 2020 University of Georgia School of Law

Apps For Actionable Workflows: Tools To Stay In The Loop And On Top Of Tasks, Rachel S. Evans

Presentations

No matter what member of the team you are or what type of library you are in - be it electronic resources manager, cataloger, head of acquisitions, ILS or systems administrator, or even repository coordinator - getting things done and meeting goals depends largely on how you communicate with one another and how you handle your time. Meeting goals and deadlines on both big and small projects in addition to your personal tasks can be achieved less painfully by making effective use of a few on point tools. This session will use the presenter's preferred platforms to show specific examples of ...


Wireless Underground Communications In Sewer And Stormwater Overflow Monitoring: Radio Waves Through Soil And Asphalt Medium, Usman Raza, Abdul Salam 2020 Purdue University

Wireless Underground Communications In Sewer And Stormwater Overflow Monitoring: Radio Waves Through Soil And Asphalt Medium, Usman Raza, Abdul Salam

Faculty Publications

Storm drains and sanitary sewers are prone to backups and overflows due to extra amount wastewater entering the pipes. To prevent that, it is imperative to efficiently monitor the urban underground infrastructure. The combination of sensors system and wireless underground communication system can be used to realize urban underground IoT applications, e.g., storm water and wastewater overflow monitoring systems. The aim of this article is to establish a feasibility of the use of wireless underground communications techniques, and wave propagation through the subsurface soil and asphalt layers, in an underground pavement system for storm water and sewer overflow monitoring ...


Piecing Together Summon Over Alma Documentation, James M. Day 2020 Embry-Riddle Aeronautical University

Piecing Together Summon Over Alma Documentation, James M. Day

Publications

Ex Libris provides some useful documentation for “Alma-Summon Integration” but it is not complete. Most Alma documentation and online help pages assume you are using Primo. Sometimes the Alma configurations for Primo apply to Summon, but mostly they do not. The ELUNA Summon Product Working Group members using Summon over Alma started a project to identify existing documentation, consolidate it, and create supplemental documentation where necessary. We hope this will help Ex Libris provide better support for Summon over Alma.


Human-Machine Communication: Complete Volume. Volume 1, 2020 University of Central Florida

Human-Machine Communication: Complete Volume. Volume 1

Human-Machine Communication

This is the complete volume of HMC Volume 1.


Sharing Stress With A Robot: What Would A Robot Say?, Honson Y. Ling, Elin A. Bj?rling 2020 University of Washington

Sharing Stress With A Robot: What Would A Robot Say?, Honson Y. Ling, Elin A. Bj?rling

Human-Machine Communication

With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as ...


The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions To Use Social Robots, Christoph Lutz, Aurelia Tamò-Larrieux 2020 BI Norwegian Business School

The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions To Use Social Robots, Christoph Lutz, Aurelia Tamò-Larrieux

Human-Machine Communication

Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical concerns. Using structural equation modeling, we find a privacy paradox, where the perceived benefits of social robots override privacy concerns.


Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, Andrew Gambino, Jesse Fox, Rabindra A. Ratan 2020 Penn State University

Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, Andrew Gambino, Jesse Fox, Rabindra A. Ratan

Human-Machine Communication

The computers are social actors framework (CASA), derived from the media equation, explains how people communicate with media and machines demonstrating social potential. Many studies have challenged CASA, yet it has not been revised. We argue that CASA needs to be expanded because people have changed, technologies have changed, and the way people interact with technologies has changed. We discuss the implications of these changes and propose an extension of CASA. Whereas CASA suggests humans mindlessly apply human-human social scripts to interactions with media agents, we argue that humans may develop and apply human-media social scripts to these interactions. Our ...


Digital Commons powered by bepress

RB88 rb88热博电竞平台| 热博sbt体育| 热博sbt体育| 热博体育官网| 热博体育官网| rb88官网| rb88热博电竞手机版| 热博rb88| 热博体育官网| 热博体育官网| 热博| 热博sbt体育| rb88热博电竞手机版|