Now showing items 217-236 of 290

    • 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. ...
    • SenseBox: A DIY Prototyping Platform to Create Audio Interfaces for Therapy 

      Hamidi, Foad; Kumar, Sanjay; Dorfman, Mikhail; Ojo, Fayokemi; Kottapalli, Megha; Hurst, Amy (ACM, 2019-03-17)
      Customizable systems that let children and adults with disabilities control audio playback can support different forms of therapy, including music therapy and speech-language therapy. We present SenseBox, a low-cost, ...
    • SensePresence: Infrastructure-less Occupancy Detection for Opportunistic Sensing Applications 

      Khan, Md Abdullah Al Hafiz; Hossain, H M Sajjad; Roy, Nirmalya (IEEE, 2015-09-14)
      Predicting the occupancy related information in an environment has been investigated to satisfy the myriad requirements of various evolving pervasive, ubiquitous, opportunistic and participatory sensing applications. ...
    • The Silent Language of Materials: Gender, E- Textiles and Mayan Weaving 

      Hamidi, Foad; Saenz, Karla; Baljko, Melanie
      In this position paper, we present our reflections about a project in which we used e-textile prototypes to inspire dialogue and creative expression with members of a Mayan weaving community in Chiapas, Mexico. We encountered ...
    • Situation-Aware Access Control in Federated Data-as-a-Service for Maritime Search and Rescue 

      Oni, Samson; Chen, Zhiyuan; Crainiceanu, Adina; Joshi, Karuna; Needham, Don (IEEE, 2019-08-29)
      Maritime Search and Rescue missions involve complex operations in which multiple entities, playing different roles in dynamic situations, benefit from sharing mission-dependent data. We propose an approach to support ...
    • Sleep Well: A Sound Sleep Monitoring Framework for Community Scaling 

      Hossain, H M Sajjad; Roy, Nirmalya; Khan, MD Abdullah Al Hafiz (IEEE, 2015-09-14)
      Following healthy lifestyle is a key for active living. Regular exercise, controlled diet and sound sleep play an invisible role on the well being and independent living of the people. Sleep being the most durative activities ...
    • Smart-Energy Group Anomaly Based Behavioral Abnormality Detection 

      Alam, Mohammad Arif Ul; Roy, Nirmalya; Petruska, Michelle; Zemp, Andrea (IEEE, 2016-12-15)
      Monitoring behavioral abnormality of individuals living independently in their own homes is a key issue for building sustainable healthcare models in smart environments. While most of the efforts have been directed towards ...
    • SoccerMate: A Personal Soccer Attribute Profiler using Wearables 

      Hossain, H M Sajjad; Khan, Md Abdullah Al Hafiz; Roy, Nirmalya (IEEE, 2017-05-04)
      The use of smartphone and wearable devices in various sporting events is an optimistic opportunity to profile player's physical fitness and physiological health conditioning attributes. Recently a variety of commercial ...
    • Social Media-based User Embedding: A Literature Review 

      Pan, Shimei; Ding, Tao (2019-06)
      Automated representation learning is behind many recent success stories in machine learning. It is often used to transfer knowledge learned from a large dataset (e.g., raw text) to tasks for which only a small number ...
    • Spatio-Temporal Climate Data Causality Analytics – An Analysis of ENSO’s Global Impacts 

      Song, Hua; Wang, Jianwu; Tian, Jing; Huang, Jingfeng; Zhang, Zhibo
      Numerous studies have indicated that El Niño and the Southern Oscillation (ENSO) could have determinant impacts on remote weather and climate using the conventional correlation-based methods, which however cannot identify ...
    • Spatiotemporal Neighborhood Discovery for Sensor Data 

      McGuire, Michael P.; Janeja, Vandana P.; Gangopadhyay, Aryya (Springer, Berlin, Heidelberg, 2008-01)
      The focus of this paper is the discovery of spatiotemporal neighborhoods in sensor datasets where a time series of data is collected at many spatial locations. The purpose of the spatiotemporal neighborhoods is to provide ...