Now showing items 1058-1077 of 1438

    • RADAR-BASED NON-CONTACT SENSING FOR SMART HEALTHCARE APPLICATIONS 

      Miller, Elishiah (2022-01-01)
      Today’s healthcare system is seeing rapid technological advancements with the availability of vast amounts of information and computing resources. This has led to important developments in the field of smart healthcare for ...
    • Radiation pressure of light pulses and conservation of linear momentum in dispersive media 

      Scalora, Michael; D’Aguanno, Giuseppe; Mattiucci, Nadia; Bloemer, Mark J.; Centini, Marco; Sibilia, Concita; Haus, Joseph W. (American Physical Society (APS), 2006-05-16)
      We derive an expression for the Minkowski momentum under conditions of dispersive susceptibility and permeability, and compare it to the Abraham momentum in order to test the principle of conservation of linear momentum ...
    • Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography 

      Romero, Daniel; Kim, Seung-Jun (2022-02-01)
      Radio maps can be utilized to characterize a parameter of interest in a communication channel, such as the received signal strength, at every point of a certain geographical region. This article presents an introductory ...
    • RadSense: Enabling one hand and no hands interaction for sterile manipulation of medical images using Doppler radar 

      Miller, Elishiah; Li, Zheng; Mentis, Helena; Park, Adrian; Zhu, Ting; Banerjee, Nilanjan (Elsevier, 2019-11-15)
      In this paper, we show how surgeons can interact with medical images using finger and hand gestures in two situations: one hand-free and no hands-free interaction. We explain how interaction with only one hand or a couple ...
    • Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas 

      Pappachan, Primal; Yus, Roberto; Joshi, Anupam; Finin, Tim (IEEE, 2014-10-22)
      Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs ...
    • RAM: Radar-based Activity Monitor 

      Khan, Md Abdullah Al Hafiz; Kukkapalli, Ruthvik; Waradpande, Piyush; Kulandaivel, Sekar; Banerjee, Nilanjan; Roy, Nirmalya; Robucc, Ryan (IEEE, 2016-07-20)
      Activity recognition has applications in a variety of human-in-the-loop settings such as smart home health monitoring, green building energy and occupancy management, intelligent transportation, and participatory sensing. ...
    • Random Forest of Tensors (RFoT) 

      Eren, Maksim; Nicholas, Charles; McDonald, Renee; Hamer, Chris (2021-07-14)
      Machine learning has become an invaluable tool in the fight against malware. Traditional supervised and unsupervised methods are not designed to capture the multidimensional details that are often present in cyber data. ...
    • Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time 

      Joyce, Robert J.; Raff, Edward; Nicholas, Charles (2021-12-28)
      Although groups of strongly correlated antivirus engines are known to exist, at present there is limited understanding of how or why these correlations came to be. Using a corpus of 25 million VirusTotal reports representing ...
    • Rapid ultra-sensitive and high-throughput bioburden detection: Microfluidics and instrumentation 

      Hasan, Md Sadique; Marsafari, Monireh; Tolosa, Michael; Andar, Abhay; Ramamurthy, Sai Sathish; Ge, Xudong; Kostov, Yordan; Rao, Govind (ACS, 2022-06-06)
      Contamination detection often requires lengthy culturing steps to detect low-level bioburden. To increase the rate of detection and decrease the limit of detection (LOD), a system featuring microfluidics and a multichannel ...
    • RBM Image Generation Using the D-Wave 2000Q 

      Sleeman, Jennifer; Halem, Milton; Dorband, John (UMBC, 2019-10-30)
      We describe a hybrid approach that combines a deep convolutional neural network autoencoder and a quantum Restricted Boltzmann Machine (RBM) for image generation using the D-Wave 2000Q. We compare the quantum learned ...
    • RDF123: a mechanism to transform spreadsheets to RDF 

      Han, Lushan; Parr, Cynthia; Sachs, Joel; Joshi, Anupam; Finin, Tim (2007-08-17)
      We describe RDF123, a highly flexible open-source tool for transforming spreadsheet data to RDF. Existing spreadsheet-to-RDF tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, ...
    • A Re-configurable Software-Hardware CNN Framework for Automatic Detection of Respiratory Symptoms 

      Rashid, Hasib-Al; Ren, Haoran; Mazumder, Arnab; Sajadi, Mohammad M.; Mohsenin, Tinoosh (Springer, 2022-10-30)
      Detection of respiratory symptoms has long been an area of extensive research to expedite the process of machine aided diagnosis for various respiratory conditions. This chapter attempts to address the early diagnosis of ...
    • Re-imagining the Power of Priming and Framing Effects in the Context of Political Crowdfunding Campaigns 

      Dey, Sanorita; Duff, Brittany R. L.; Karahalios, Karrie (ACM, 2022-04-28)
      In recent years, political crowdfunding campaigns have emerged through which politicians raise money to fund their election campaigns. Divisive issues discussed in these campaigns may not only motivate donations but also ...
    • A Reactive Service Composition Architecture for Pervasive Computing Environments 

      Chakraborty, Dipanjan; Perich, Filip; Joshi, Anupam; Finin, Timothy; Yesha, Yelena (2002-03-12)
      Technological advances in semiconductor processing and design as well as wireless networking are leading us towards the vision of Pervasive Computing. We envision that in the (near) future, devices all around a person, ...
    • Real Time Global Illumination Solutions to the Radiosity Algorithm using Hybrid CPU/GPU Nodes 

      Adenikinju, Oluwapelumi; Gilyard, Julian; Massey, Joshua; Stitt, Thomas; Graf, Jonathan; Huang, Xuan; Khuvis, Samuel; Gobbert, Matthias K.; Wang, Yu; Olano, Marc (2014)
      We investigate high performance solutions to the global illumination problem in computer graphics. An existing CPU serial implementation using the radiosity method is given as the performance baseline where a scene and ...
    • Real-time Automatic Hyperparameter Tuning for Deep Learning in Serverless Cloud 

      Kaplunovich, Alexander (2020-01-01)
      Deep Neural Networks are used to solve many problems. The importance of the subject can be demonstrated by the fact that the 2019 Turing Award was given to Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, the godfathers of ...
    • Real-Time IC Aging Prediction via On-Chip Sensors 

      Huang, Ke; Anik, Md Toufiq Hasan; Zhang, Xinqiao; Karimi, Naghmeh (2021)
      Real-time aging prediction for nanoscale integrated circuits (ICs) is a crucial step for developing prevention and mitigation actions to avoid unexpected circuit failures in the field of operation. Current practices for ...
    • Real-Time Path Planning for a Robotic Arm 

      Krishnaswamy, Kavita; Sleeman, Jennifer; Oates, Tim (ACM, 2011-05-25)
      With robotics technology, services can be provided to care for individuals with disabilities. This paper describes an eff ort to improve path planning performance for a robotic arm, resulting in faster user response in ...
    • Real-time Subsurface Control Variates: Temporally Stable Adaptive Sampling 

      Xie, Tiantian; Olano, Marc (ACM, 2021-04-28)
      Real-time adaptive sampling is a new technique recently proposed for efficient importance sampling in realtime Monte Carlo sampling in subsurface scattering. It adaptively places samples based on variance tracking to help ...
    • Recasting Self-Attention with Holographic Reduced Representations 

      Alam, Mohammad Mahmudul; Raff, Edward; Oates, Tim; Holt, James (2022-08-15)
      Self-Attention has become fundamentally a new approach to set and sequence modeling, particularly within transformerstyle architectures. Given a sequence of 𝑇 items the standard self-attention has O (𝑇 2 ) memory and ...