Now showing items 178-197 of 304

    • A Methodology to Analyze Self-Reflection in E-Portfolios 

      Sanchez, Maria; Kephart, Kerrie; Jones, Kiplyn; desJardins, Marie
      This Research to Practice Work-In-Progress offers an approach toward assessing self-reflections in e-portfolios written by undergraduate student-Scholars in a Grand Challenge Scholars Program within the College of Engineering ...
    • Mineral Dust Detection Using Satellite Data 

      Shi, Peichang; Song, Qianqian; Patwardhan, Janita; Zhang, Zhibo; Wang, Jianwu
      Mineral dust, defined as aerosol originating from the soil, can have various harmful effects to the environment and human health. The detection of dust, and particularly incoming dust storms, may help prevent some of these ...
    • Mining sensor datasets with spatiotemporal neighborhoods 

      Patrick McGuire, Michael; Janeja, Vandana; Gangopadhyay, Aryya (2013-11-06)
      Many spatiotemporal data mining methods are dependent on how relationships between a spatiotemporal unit and its neighbors are defined. These relationships are often termed the neighborhood of a spatiotemporal object. The ...
    • Mitigating Demographic Biases in Social Media-Based Recommender Systems 

      Islam, Rashidul; Keya, Kamrun Naher; Pan, Shimei; Foulds, James (Association for Computing Machinery, 2019-08-04)
      As a growing proportion of our daily human interactions are digitized and subjected to algorithmic decision-making on social media platforms, it has become increasingly important to ensure that these algorithms behave in ...
    • Mitigating Socio-lingustic Bias in Job Recommendation  

      Deshpande, Ketki V.; Pan, Shimei; Foulds, James R.
      With increasing diversity in the job market as well as the workforce, employers receive resumes from an increasingly diverse population. Many employers have started using automated resume screening to filter the many ...
    • Mobeacon: An iBeacon-Assisted SmartphoneBased Real Time Activity Recognition Framework 

      Alam, Mohammad Arif Ul; Pathak, Nilavra; Roy, Nirmalya (EAI, 2015-08-11)
      Human activity recognition using multi-modal sensing technologies to automatically collect and classify daily activities has become an active field of research. Given the proliferation of smart and wearable devices and ...
    • Modeling the Dynamics of Using a Collaborative Hypertext 

      Chen, Chaomei; Rada, Roy (Walter de Gruyter GmbH, 2000-12-01)
      The dynamics of using a collaborative hypertext system is analyzed and modeled, based on time series data from the real users. First, we studied how users access a shared workspace simultaneously. Traditional time series ...
    • Modelling Situated Actions in Collaborative Hypertext Databases 

      Chen, Chaomei; Rada, Roy
      The need to model users' dynamic behaviour in Computer Supported Cooperative Work (CSCW) systems arises in many contexts. This study developed a probabilistic model of the usage of an awareness-maintaining mechanism in a ...
    • Multi Authority Access Control in a Cloud EHR System with MA-ABE 

      Dixit, Sharad; Joshi, Karuna P.; Choi, Seung Geol (IEEE, 2019-07-08)
      With the rapid adoption of Cloud-based Electronic Health Record (EHR) systems, health providers are particularly concerned about managing data privacy on the cloud. Existing approaches have either a scalability bottleneck ...
    • A Multi-level Clustering Approach for Anonymizing Large-Scale Physical Activity Data 

      Parameshwarappa, Pooja; Chen, Zhiyuan; Koru, Güneṣ (2019-08-21)
      Publishing physical activity data can facilitate reproducible health-care research in several areas such as population health management, behavioral health research, and management of chronic health problems. However, ...
    • Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences 

      Wang, Jianwu; Gobbert, Matthias K.; Zhang, Zhibo; Gangopadhyay, Aryya; Page, Glenn G. (National Science Foundation, 2017-11-01)
      We present a new initiative to create a training program or graduate-level course (cybertraining.umbc.edu) in big data applied to atmospheric sciences as application area and using high-performance computing as indispensable ...
    • A Non-visual Approach to Improving Collaboration Between Blind and Sighted Internet Users 

      Kuber, Ravi; Yu, Wai; McAllister, Graham (Springer, Berlin, Heidelberg, 2007)
      Assistive technologies have widened access to the Web, by providing a non-visual representation of page content for blind individuals. However, restrictions imposed by screen readers and Braille output devices have led to ...
    • Numerical Methods for Parallel Simulation of Diffusive Pollutant Transport from a Point Source 

      Sienkiewicz, Noah; Pandya, Arjun; Brown, Tim; Barajas, Carlos; Gobbert, Matthias K.
      In an interdisciplinary project combining Atmospheric Physics, High Performance Computing, and Big Data, we explore a numerical method for solving a physical system modeled by a partial differential equation. The application ...
    • On Mining Web Access Logs 

      Joshi, Anupam; Joshi, Karuna; Krishnapuram, Raghu (1999-10-24)
      The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine typical user profiles from the vast amount ...
    • Ontologies and Artificial Intelligence Systems for the Cooperative Smart Farming Ecosystem 

      Chukkapalli, Sai Sree Laya; Mittal, Sudip; Gupta, Maanak; Abdelsalam, Mahmoud; Joshi, Anupam; Sandhu, Ravi; Joshi, Karuna (IEEE, 2020-09-08)
      Cyber-Physical Systems (CPS) and Internet of Thing (IoT) generate large amounts of data spurring the rise of Artificial Intelligence (AI) based smart applications. Driven by rapid advancements in technologies that support ...
    • An Ontology for a HIPAA compliant cloud service 

      Joshi, Karuna Pande; Yesha, Yelena; Finin, Tim (2016-06-03)
      With increasing adoption of digitized patient records and physician’s notes, managing patient records and medical data has become a major challenge for healthcare providers. Hence, cloud based healthcare services have ...
    • Organizational roles and communication modes in team work 

      Michailidis, Antonios; Rada, Roy (IEEE, 2001-01-06)
      We have surveyed ten collaborators' perceptions on the value of nine communication modes: email, telephone, pen-and-paper, computer conferencing, telephone conferencing, face-to-face, fax, post, and whiteboard. Eight roles ...
    • An overview of online trust: Concepts, elements, and implications 

      Wang, Ye Diana; Emurian, Henry H. (Elsevier Ltd., 2004-02-18)
      Lack of trust has been repeatedly identified as one of the most formidable barriers to people for engaging in e-commerce, involving transactions in which financial and personal information is submitted to merchants via the ...
    • Parallel Performance Studies for an Elliptic Test Problem on the Stampede2 Cluster and Comparison of Networks 

      Arora, Kritesh; Barajas, Carlos; Gobbert, Matthias K. (2018)
      We study the parallel performance of dual-socket compute nodes with Intel Xeon Platinum 8160 Skylake CPUs with 24 cores and 192 GB of memory, connected by a 100 Gbps Intel Omni-Path (OPA) interconnect. The experimenets use ...
    • Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements 

      Mittal, Sudip; Joshi, Karuna Pande; Pearce, Claudia; Joshi, Anupam (IEEE, 2015-10-19)
      To efficiently utilize their cloud based services, consumers have to continuously monitor and manage the Service Level Agreements (SLA) that define the service performance measures. Currently this is still a time and labor ...