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A Curvature-Based Descriptor for Point Cloud Alignment Using Conformal Geometric Algebra
(Journal article; Peer reviewed, 2018)This paper presents a descriptor for course alignment of point clouds using conformal geometric algebra. The method is based on selecting keypoints depending on shape factors to identify distinct features of the object ... -
A Cyber-Physical Systems Approach for Implementing the Receding Horizon Optimal Power Flow in Smart Grids
(Journal article; Peer reviewed, 2017)Two Major challenges in securing reliable Optimal Power Flow (OPF) operations are: (i) fluctuations induced due to renewable generators and energy demand, and (ii) interaction and interoperability among the different ... -
A Data Dissemination Protocol for Vehicles with Temporary Cellular Network Inaccessibility
(Chapter, 2019)The cellular network coverage in sparsely populated and mountainous areas is often patchy. That can be a significant impediment for services based on connections between vehicles and their environment. In this paper, we ... -
A data driven approach reveals disease similarity on a molecular level
(Journal article; Peer reviewed, 2019)Could there be unexpected similarities between different studies, diseases, or treatments, on a molecular level due to common biological mechanisms involved? To answer this question, we develop a method for computing ... -
A Data-driven Approach to Grid Impedance : Identification for Impedance-based Stability Analysis under Different Frequency Ranges
(Chapter, 2019)The instability caused by inappropriate damping design of grid-connected converters under specific grid impedance makes the grid impedance estimation a crucial issue. To guide the system controller design toward a stable ... -
A data-driven approach to improve control room operators' response
(Peer reviewed; Journal article, 2021) -
A data-driven method based on deep belief networks for backlash error prediction in machining centers
(Journal article; Peer reviewed, 2017)Backlash error occurs in a machining center may lead to a series of changes in the geometry of the components and subsequently deteriorate the overall performance of the equipment. Due to the uncertainty of mechanical wear ... -
A Data-Driven Security Game to Facilitate Information Security Education
(Chapter, 2019)Many universities have started to educate students on how to develop secure software and systems. One challenge of teaching information security is that the curriculum can easily be outdated, because new attacks and ... -
A Database Tool for Systematic Analysis of Embodied Emissions in Buildings and Neighborhoods
(Journal article; Peer reviewed, 2018)There is a growing body of research on the embodied emissions of individual buildings, but the results and methods remain mostly inaccessible and incomparable due to insufficient reported information, and differences in ... -
A dataset of wind-driven rain measurements on a low-rise test building in Norway
(Journal article; Peer reviewed, 2007)Semi-empirical models and especially numerical simulation models based on Computational Fluid Dynamics (CFD) are increasingly being used to calculate wind-driven rain (WDR) on building facades. The development, verification ... -
A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents
(Journal article; Peer reviewed, 2016)Drilling operations of offshore oil and gas fields are characterized by high technical complexity, high risks, and high costs, since they are always in harsh environments with complicated geological factors. Lost circulation ... -
A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents
(Journal article, 2016)Drilling operations of offshore oil and gas fields are characterized by high technical complexity, high risks, and high costs, since they are always in harsh environments with complicated geological factors. Lost circulation ... -
A decentralized sensor fusion approach to human fatigue monitoring in maritime operations
(Chapter, 2019)Human fatigue is one of the main causes of accidents in maritime domain. How to use physiological data to estimate degree of human fatigue without medical domain knowledge is significant to the safety of tasks in maritime ... -
A Decision Support Model for Routing and Scheduling a Fleet of Fuel Supply Vessels
(Chapter, 2015)We consider a real fuel supply vessel routing and scheduling problem faced by a Hellenic oil company with a given fleet of fuel supply vessels used to supply customer ships outside Piraeus Port. The supply vessels are ... -
A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project
(Journal article; Peer reviewed, 2018)Background: Low back pain (LBP) is a leading cause of disability worldwide. Most patients with LBP encountered in primary care settings have nonspecific LBP, that is, pain with an unknown pathoanatomical cause. Self-management ... -
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
(Journal article; Peer reviewed, 2019)Anomaly in mechanical systems may cause equipment to break down with serious safety, environment, and economic impact. Since many mechanical equipment usually operates under tough working environments, which makes them ... -
A deep learning enabler for non-intrusive reduced order modeling of fluid flows
(Journal article; Peer reviewed, 2019)In this paper, we introduce a modular deep neural network (DNN) framework for data-driven reduced order modeling of dynamical systems relevant to fluid flows. We propose various DNN architectures which numerically predict ... -
A deep network model for paraphrase detection in short text messages
(Journal article; Peer reviewed, 2018)This paper is concerned with paraphrase detection, i.e., identifying sentences that are semantically identical. The ability to detect similar sentences written in natural language is crucial for several applications, such ... -
A Degrading Element of Safety-instrumented Systems with Combined Maintenance Strategy
(Chapter, 2019)Safety-instrumented systems (SISs) are widely used to prevent hazardous events. The mechanical actuator subsystem in a SIS can become more vulnerable with time due to progressive degradation mechanisms, such as erosion, ...