Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Bayesian Knowledge-Tracing (1)
- Behavior detection (1)
- Books (1)
- Conference Papers (1)
- Data Center Efficiency (1)
-
- Data center; energy; server; operating system (1)
- Density measurement , Ecosystems , Lagrangian functions , Ocean temperature , Oceanographic techniques , Sea measurements , Temperature distribution , Temperature sensors , Testing , Water , bathymetry , ecology , oceanographic equipment , pressure measurement , pressure sensors , spatial variables measurement , Netburner microprocessor , altitude measurements , altitude sensor , coastal marine ecosystems , dynamic auto-ballasting system , highly varied bathymetry , piston style volume changing mechanism , pressure measurements , pressure sensor , profile sampling , rechargeable lithium ion battery system , seawater density , shallow water Lagrangian float , water densities , drifter , float , sensor platform (1)
- Designing and conducting experiments (1)
- Exploratory learning environment assessment (1)
- Human Aspects (1)
- Human Factor (1)
- MBTI (1)
- MIMO (1)
- Machine-learned models (1)
- Microworlds (1)
- Network (1)
- Scientific inquiry (1)
- Skill prediction (1)
- Software Engineering (1)
- Wireless (1)
Articles 1 - 14 of 14
Full-Text Articles in Computer Engineering
Energy Overhead Of The Graphical User Interface In Server Operating Systems, Heather Brotherton, J. Eric Dietz, John Mcgrory, Fred Mtenzi
Energy Overhead Of The Graphical User Interface In Server Operating Systems, Heather Brotherton, J. Eric Dietz, John Mcgrory, Fred Mtenzi
Heather M Brotherton
Evidence of graphical user interface server operating system energy overhead is presented. It is posed that data centers would have substantial energy savings by eliminating graphical user interface operating systems.
Getting It Right The First Time: Robot Mission Guarantees In The Presence Of Uncertainty, Damian Lyons, Ronald Arkin, Paramesh Nirmal, Shu Jiang, Tsung-Ming Liu, J Deeb
Getting It Right The First Time: Robot Mission Guarantees In The Presence Of Uncertainty, Damian Lyons, Ronald Arkin, Paramesh Nirmal, Shu Jiang, Tsung-Ming Liu, J Deeb
Peng Tang
Certain robot missions need to perform predictably in a physical environment that may only be poorly characterized in advance. We have previously developed an approach to establishing performance guarantees for behavior based controllers in a process-algebra framework. We extend that work here to include random variables, and we show how our prior results can be used to generate a Dynamic Bayesian Network for the coupled system of program and environment model. Verification is reduced to a filtering problem for this network. Finally, we present validation results that demonstrate the effectiveness of the verification of a multiple waypoint robot mission using …
Integration Of Business Process Modeling And Web Services: A Survey, Katarina Grolinger, Miriam Capretz, Americo Cunha, Said Tazi
Integration Of Business Process Modeling And Web Services: A Survey, Katarina Grolinger, Miriam Capretz, Americo Cunha, Said Tazi
Katarina Grolinger
A significant challenge in business process automation involves bridging the gap between business process representations and Web service technologies that implement business activities. We are interested in business process representations such as Business Process Modeling Notation (BPMN) and Event-Driven Process Chains (EPCs). Web service technologies include protocols such as Simple Object Access Protocol (SOAP), architectures such as REpresentational State Transfer (RESTful), or semantic description languages and formalisms such as Web Ontology Language for Services (OWL-S) and Web Service Modeling Ontology (WSMO). This paper reviews previous work on the integration of business process representations and Web service technologies. It provides a …
Personality Types In Software Engineering, Luiz Capretz
Personality Types In Software Engineering, Luiz Capretz
Luiz Fernando Capretz
No abstract provided.
Network Self-Organization In The Internet Of Things, Arjun Athreya, Patrick Tague
Network Self-Organization In The Internet Of Things, Arjun Athreya, Patrick Tague
Patrick Tague
The Internet of Things is a paradigm that allows the interaction of ubiquitous devices through a network to achieve common goals. This paradigm like any man-made infrastructure is subject to disasters, outages and other adversarial conditions. Under these situations provisioned communications fail, rendering this paradigm with little or no use. Hence, network self-organization among these devices is needed to allow for communication resilience. This paper presents a survey of related work in the area of self-organization and discusses future research opportunities and challenges for self-organization in the Internet of Things. We begin this paper with a system perspective of the …
Asia: Accelerated Secure In-Network Aggregation In Vehicular Sensing Networks, Xiao Wang, Patrick Tague
Asia: Accelerated Secure In-Network Aggregation In Vehicular Sensing Networks, Xiao Wang, Patrick Tague
Patrick Tague
Vehicular Ad-Hoc Networks (VANETs) can potentially become a sensing platform. In-network aggregation, a fundamental primitive for querying sensory data, has been shown to reduce overall communication overhead at large. To secure data aggregation in VANETs, existing schemes mainly rely on digital signatures. However, generating and verifying such signatures can cause high computational overhead. More importantly, time-consuming verifications lead to the vulnerability to signature flooding attacks in which a receiver cannot timely verify all messages before their respective deadlines. In this paper, we propose ASIA as an Accelerated Secure In-network Aggregation strategy that can accelerate message verifications and significantly reduce computational …
Unlocin: Unauthorized Location Inference On Smartphones Without Being Caught, Le Nguyen, Yuan Tian, Sungho Cho, Wookjong Kwak, Sanjay Parab, Yu Seung Kim, Patrick Tague, Joy Zhang
Unlocin: Unauthorized Location Inference On Smartphones Without Being Caught, Le Nguyen, Yuan Tian, Sungho Cho, Wookjong Kwak, Sanjay Parab, Yu Seung Kim, Patrick Tague, Joy Zhang
Patrick Tague
Location privacy has become one of the critical issues in the smartphone era. Since users carry their phones everywhere and all the time, leaking users’ location information can have dangerous implications. In this paper, we leverage the idea that Wi-Fi parameters not considered to be “sensitive” in the Android platform can be exploited to learn users’ location. Though the idea of using Wi-Fi information to breach location privacy is not new, we extend the basic idea and show that clever attackers can do so without being detected by current malware detection techniques. To achieve this goal, we develop the Unauthorized …
How To Jam Without Getting Caught: Analysis And Empirical Study Of Stealthy Periodic Jamming, Bruce Debruhl, Patrick Tague
How To Jam Without Getting Caught: Analysis And Empirical Study Of Stealthy Periodic Jamming, Bruce Debruhl, Patrick Tague
Patrick Tague
Despite the widespread commercial use of spread spectrum technology, advanced algorithms and modern hardware capabilities still allows efficient denial-of-service attacks against wireless communication systems using jamming. Much of the recent work on jamming mitigation has focused on how to adjust the transmitter-receiver system once a jamming attack has been detected. However, characterizing the detectability of certain classes of jamming attacks remains a largely unstudied problem. We aim to narrow this gap by analyzing the effect of a class of periodic jamming attacks on the attack detection metrics of packet delivery ratio (PDR) and received signal strength (RSS). We show that …
Stochastic Optimization Of Flow-Jamming Attacks In Multichannel Wireless Networks, Yu Seung Kim, Bruce Debruhl, Patrick Tague
Stochastic Optimization Of Flow-Jamming Attacks In Multichannel Wireless Networks, Yu Seung Kim, Bruce Debruhl, Patrick Tague
Patrick Tague
An attacker can launch an efficient jamming attack to deny service to flows in wireless networks by using cross-layer knowledge of the target network. For example, flow-jamming defined in existing work incorporates network layer information into the conventional jamming attack to maximize its attack efficiency. In this paper, we redefine a discrete optimization model of flow-jamming in multichannel wireless networks and provide metrics to evaluate the attack efficiency. We then propose the use of stochastic optimization techniques for flow-jamming attacks by using three stochastic search algorithms: iterative improvement, simulated annealing, and genetic algorithm. By integrating the algorithms into a simulation …
Adaptive Wireless Communications: Mimo Channels And Networks, Daniel Bliss, Siddhartan Govindasamy
Adaptive Wireless Communications: Mimo Channels And Networks, Daniel Bliss, Siddhartan Govindasamy
Siddhartan Govindasamy
Adopting a balanced mix of theory, algorithms and practical design issues, this comprehensive volume explores cutting-edge applications in adaptive wireless communications and the implications these techniques have for future wireless network performance. Presenting practical concerns in the context of different strands from information theory, parameter estimation theory, array processing and wireless communication, the authors present a complete picture of the field. Topics covered include advanced multiple-antenna adaptive processing, ad hoc networking, MIMO, MAC protocols, space-time coding, cellular networks and cognitive radio, with the significance and effects of both internal and external interference a recurrent theme throughout. A broad, self-contained technical …
Selfish Manipulation Of Cooperative Cellular Communications Via Channel Fabrication, Shrikant Adhikarla, Min Suk Kang, Patrick Tague
Selfish Manipulation Of Cooperative Cellular Communications Via Channel Fabrication, Shrikant Adhikarla, Min Suk Kang, Patrick Tague
Patrick Tague
In today’s cellular networks, user equipment (UE) have suffered from low spectral efficiency at cell-edge region due to high interference from adjacent base stations (BSs), which share the same spectral radio resources. In the recently proposed cooperative cellular networks, geographically separated multiple BSs cooperate on transmission in order to improve the UE’s signal-to-interference-plus-noise-ratio (SINR) at cell-edge region. The service provider of the system dynamically assigns the cluster of BSs to achieve higher SINR for the UE while optimizing the use of system radio resources. Although it is the service provider that makes the clustering decision for the UE, the service …
Self-Organization Of A Mesh Hierarchy For Smart Grid Monitoring In Outage Scenarios, Arjun Athreya, Patrick Tague
Self-Organization Of A Mesh Hierarchy For Smart Grid Monitoring In Outage Scenarios, Arjun Athreya, Patrick Tague
Patrick Tague
Current hierarchical communication infrastructure in the smart grid is not robust for data collection from smart meters during outages. In this work, we propose a self-organizing multi-channel wireless communication framework to aid in data collection for smart grid health monitoring. We propose a two-stage bootstrapping process in which nodes first self-organize into local mesh clusters by flattening the provisioned hierarchy and then interconnect to provide mesh connectivity from the outage region to functioning regions of the grid. We propose to construct this mesh-of-meshes hierarchy using a cross-layer strategy that jointly considers medium access limitations and the asymmetric traffic flow that …
Development Of A New Lagrangian Float For Studying Coastal Marine Ecosystems, Alex Schwithal, Chris Roman
Development Of A New Lagrangian Float For Studying Coastal Marine Ecosystems, Alex Schwithal, Chris Roman
Christopher N. Roman
This paper presents an overview and initial testing results for a shallow water Lagrangian float designed to operate in coastal settings. The presented effort addresses the two main characteristics of the shallow coastal environment that preclude the direct of use of many successfully deep water floats, namely the higher variation of water densities near the coast compared with the open ocean and the highly varied bathymetry. Our idea is to develop a high capacity dynamic auto-ballasting system that is able to compensate for the expected seawater density variation over a broad range of water temperatures and salinities while using measurements …
Leveraging Machine-Learned Detectors Of Systematic Inquiry Behavior To Estimate And Predict Transfer Of Inquiry Skill, Ryan Baker, Michael Sao Pedro, Janice Gobert, Orlando Montalvo, Adam Nakama
Leveraging Machine-Learned Detectors Of Systematic Inquiry Behavior To Estimate And Predict Transfer Of Inquiry Skill, Ryan Baker, Michael Sao Pedro, Janice Gobert, Orlando Montalvo, Adam Nakama
Ryan S.J.d. Baker
We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science microworld. Towards accomplishing this goal, we generated machine‐learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using two inquiry support tools. Models were trained using labels generated through a new method of manually hand‐coding log files, “text replay tagging”. This approach led to detectors that can automatically and accurately identify these inquiry skills under student‐level cross‐validation. The resulting detectors can be applied at run‐time to drive scaffolding intervention. …