Now showing items 204-223 of 287

    • A Question and Answering System for Management of Cloud Service Level Agreements 

      Mittal, Sudip; Gupta, Aditi; Joshi, Karuna P.; Pearce, Claudia; Joshi, Anupam (IEEE, 2017-09-11)
      One of the key challenges faced by consumers is to efficiently manage and monitor the quality of cloud services. To manage service performance, consumers have to validate rules embedded in cloud legal contracts, such as ...
    • Rafigh: A Living Media Interface for Learning Game 

      Hamidi, Foad; Baljko, Melanie
    • Rafigh: an edible living media installation 

      Hamidi, Foad; Baljko, Melanie (Association for Computing Machinery, 2014-02)
      In the face of increasing urbanization and lack of contact with nature, it is important to design systems that facilitate a re-connection or at least dialogue around our interaction with living beings. Rafigh, an empathetic ...
    • 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. ...
    • Realizing Choice: Online Safeguards for Couples Adapting to Cognitive Challenges 

      McDonald, Nora; Larsen, Alison; Battisti, Allison; Madjaroff, Galina; Massey, Aaron; Mentis, Helena (USENIX, 2020-08-11)
      This paper investigates qualitatively what happens when couples facing a spectrum of options must arrive at consensual choices together. We conducted an observational study of couples experiencing memory concerns (one or ...
    • Recent trends in machine learning for human activity recognition—A survey 

      Ramamurthy, Sreenivasan Ramasamy; Roy, Nirmalya (Wiley, 2018)
      There has been an upsurge recently in investigating machine learning techniques for Activity Recognition (AR) problems as that have been very effective in extracting and learn-ing knowledge from the activity datasets. The ...
    • Reverse-Engineering Scanning Keyboards 

      Hamidi, Foad; Baljko, Melanie (Springer Nature, 2012)
      Scanning or soft keyboards are alternatives to physical computer keyboards that allow users with motor disabilities to compose text and control the computer using a small number of input actions. In this paper, we present ...
    • A Reverse-Huffman Algorithm for Text Entry Interface Evaluation 

      Hamidi, Foad; Baljko, Dr. Melanie (2012-05-05)
      Scanning or soft keyboards display symbols to be selected when highlighted in an order. People with disabilities use these interfaces to compose text by using one or two input actions. We present a reverseHuffman algorithm ...
    • Revisiting hBFT: Speculative Byzantine Fault Tolerance with Minimum Cost 

      Shrestha, Nibesh; Kumar, Mohan; Duan, SiSi (2019-02-25)
      FaB Paxos sets a lower bound of 5f + 1 replicas for any two-step consensus protocols tolerating f byzantine failures. Yet, hBFT promises a two-step consensus protocol with only 3f + 1 replicas. As a result, it violates ...
    • The role of virtual reality in preparing graduate students for community engagement 

      Alshathri, Iman; Ulla, Damaruka Priya; Komlodi, Anita; Wolff, Michele; Schmitz, Hannah (2020-10-22)
      Community engagement (CE) experiences in higher education have been shown to lead to greater student engagement and graduation rates. Students also develop learning, personal, and social competencies in the affective domain ...
    • Scalable Aggregation Service for Satellite Remote Sensing Data 

      Wang, Jianwu; Huang, Xin; Zheng, Jianyu; Rajapakshe, Chamara; Kay, Savio; Kandoor, Lakshmi; Maxwell, Thomas; Zhang, Zhibo (Springer, Cham, 2020-09-29)
      With the advances of satellite remote sensing techniques, we are receiving huge amount of satellite observation data for the Earth. While the data greatly helps Earth scientists on their research, conducting data processing ...
    • Scalable Collapsed Inference for High-Dimensional Topic Models 

      Islam, Rashidul; Foulds, James (Association for Computational Linguistics, 2019-06)
      The bigger the corpus, the more topics it can potentially support. To truly make full use of massive text corpora, a topic model inference algorithm must therefore scale efficiently in 1) documents and 2) topics, while 3) ...
    • Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation 

      Khan, Md Abdullah Al Hafiz; Roy, Nirmalya; Misra, Archan (IEEE, 2018-08-23)
      We investigate the problem of making human activity recognition (AR) scalable-i.e., allowing AR classifiers trained in one context to be readily adapted to a different contextual domain. This is important because AR ...
    • A Semantic Approach for Automating Knowledge in Policies of Cyber Insurance Services 

      Joshi, Ketki; Joshi, Karuna Pande; Mittal, Sudip (IEEE, 2019-07-08)
      With the rapid adoption of web services, the need to protect against various threats has become imperative for organizations operating in cyberspace. Organizations are increasingly opting to get financial cover in the ...
    • A Semantic Approach to Automate Service Management in the Cloud 

      Joshi, Karuna Pande; Finin, Tim; Yesha, Yelena (2011-06-01)
      Virtualized service models are now emerging and re-defining the way information technology is delivered. Managing these services efficiently over the cloud is an open challenge. In this paper, we describe an integrated ...
    • Semantic Approach to Automating Management of Big Data Privacy Policies 

      Joshi, Karuna Pande; Gupta, Aditi; Mittal, Sudip; Pearce, Claudia; Joshi, Anupam; Finin, Tim (IEEE, 2016-12-02)
      Ensuring privacy of Big Data managed on the cloud is critical to ensure consumer confidence. Cloud providers publish privacy policy documents outlining the steps they take to ensure data and consumer privacy. These documents ...
    • A Semantic Approach to Cloud Security and Compliance 

      Hendre, Amit; Joshi, Karuna Pande (IEEE, 2015-06-27)
      Cloud services are becoming an essential part of many organizations. Cloud providers have to adhere to security and privacy policies to ensure their users' data remains confidential and secure. Though there are some ongoing ...
    • A semantic-based, distance-proportional mutation for stock classification 

      Du, Jie; Rada, Roy (Elsevier, 2017-11-13)
      Decision making in the field of financial management is a very complicated and dynamic process. How to incorporate domain knowledge into evolutionary computing to solve financial decision-making problems has long been an ...
    • A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services 

      Nagar, Ankur; Joshi, Karuna Pande (2018-05-24)
      Organizations often use Cloud based services to manage their financial transactions, like fees payment, invoice payment etc., with their end users. These services allow payment using credit cards and thus need to adhere ...
    • Semantically Rich, Oblivious Access Control Using ABAC for Secure Cloud Storage 

      Joshi, Maithilee P.; Mittal, Sudip; Joshi, Karuna Pande; Finin, Tim (IEEE, 2017-09-11)
      Securing their critical documents on the cloud from data threats is a major challenge faced by organizations today. Controlling and limiting access to such documents requires a robust and trustworthy access control mechanism. ...