Now showing items 186-205 of 352

    • Knowledge Co-Creation and Assistive Technology 

      Baljko, Melanie; Hamidi, Foad (Scholarly and Research Communication, 2014-10-06)
      This article presents reflections from the perspective of two computer science researchers who have used knowledge mobilization services (as opposed to technology transfer services) in service of research goals that arose ...
    • A Knowledge Representation of Cloud Data controls for EU GDPR Compliance 

      Elluri, Lavanya; Joshi, Karuna Pande (IEEE, 2018-07-06)
      The rollout of European Union’s General Data Protection Regulation (EU GDPR) will have a far-reaching effect on Cloud data privacy and compliance for both the Cloud Service Providers (Data Providers) and the Consumers (Data ...
    • LASO: Exploiting Locomotive and Acoustic Signatures over the Edge to Annotate IMU Data for Human Activity Recognition 

      Chatterjee, Soumyajit; Chakma, Avijoy; Gangopadhyay, Aryya; Roy, Nirmalya; Mitra, Bivas; Chakraborty, Sandip
      Annotated IMU sensor data from smart devices and wearables are essential for developing supervised models for fine-grained human activity recognition, albeit generating sufficient annotated data for diverse human activities ...
    • Learning User Embeddings from Temporal Social Media Data: A Survey 

      Hasan, Fatema; Xu, Kevin S.; Foulds, James R.; Pan, Shimei (2021-05-17)
      User-generated data on social media contain rich information about who we are, what we like and how we make decisions. In this paper, we survey representative work on learning a concise latent user representation (a.k.a. ...
    • Lessons from an Online Multidisciplinary Undergraduate Summer Research Program 

      Gobbert, Matthias K.; Wang, Jianwu (2021)
      During 2018, 2019, and 2020, the UMBC CyberTraining initiative “Big Data + HPC + Atmospheric Sciences” created an online team-based training program for advanced graduate students and junior researchers that trained a ...
    • Lessons Learned Creating Youth Jobs in an Afterschool Maker Space 

      Hurst, A.; Grimes, S.; McCoy, D.; Carter, N.; Easly, W.; Hamidi, F.; Salib, G. (American Society for Engineering Education (ASEE), 2017)
    • Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence 

      Baglione, Anna N.; Gong, Jiaqi; Boukhechba, Mehdi; Wells, Kristen J.; Barnes, Laura E. (IEEE, 2020-06-26)
      Interventions to improve the medication adherence have had limited success and can require significant human resources to implement. Research focused on improving medication adherence has undergone a paradigm shift, of ...
    • A Linearized Viscous, Compressible Flow-Plate Interaction with Non-dissipative Coupling 

      Avalos, George; Geredeli, Pelin Guven; Webster, Justin T.
      We address semigroup well-posedness for a linear, compressible viscous fluid interacting at its boundary with an elastic plate. We derive the model by linearizing the compressible Navier-Stokes equations about an arbitrary ...
    • Link before you share: Managing privacy policies through blockchain 

      Banerjee, Agniva; Joshi, Karuna Pande (IEEE, 2018-01-15)
      With the advent of numerous online content providers, utilities and applications, each with their own specific version of privacy policies and its associated overhead, it is becoming increasingly difficult for concerned ...
    • Longitudinal Energy Waste Detection with Visualization 

      Lachut, David; Pathak, Nilavra; Banerjee, Nilanjan; Roy, Nirmalya; Robucci, Ryan (ACM, 2017-11-08)
      Leaky windows and doors, open refrigerators, unattended appliances, left-on lights, and other sources subtly leak energy accounting for a large portion of waste. Formal energy audits are expensive and time consuming and ...
    • A Longitudinal Pilot Study to Evaluate Non-Visual Icons in a Mobile Exertion Application 

      Qian, Huimin; Kuber, Ravi; Sears, Andrew (Springer, Berlin, Heidelberg, 2011)
      This paper describes an evaluation of a mobile exertion application, developed to promote physical activity among adult users. To extend previous work, we aimed to identify changes in walking behavior over time, and to ...
    • LSTM Based Sentiment Analysis for Cryptocurrency Prediction 

      Huang, Xin; Zhang, Wenbin; Tang, Xuejiao; Zhang, Mingli; Surbiryala, Jayachander; Iosifidis, Vasileios; Liu, Zhen; Zhang, Ji
      Recent studies in big data analytics and natural language processing develop automatic techniques in analyzing sentiment in the social media information. In addition, the growing user base of social media and the high ...
    • Machine Learning and Student Performance in Teams 

      Ahuja, Rohan; Khan, Daniyal; Tahir, Sara; Wang, Magdalene; Symonette, Danilo; Pan, Shimei; Stacey, Simon; Engel, Don (Springer Nature, 2020-06-30)
      This project applies a variety of machine learning algorithms to the interactions of first year college students using the GroupMe messaging platform to collaborate online on a team project. The project assesses the efficacy ...
    • Machine Learning Based Algorithms for Global Dust Aerosol Detection From Satellite Images: Inter-Comparisons and Evaluation 

      Lee, Jangho; Shi, Yingxi Rona; Cai, Changjie; Ciren, Pubu; Wang, Jianwu; Gangopadhyay, Aryya; Zhang, Zhibo (2020-12-08)
      Identifying dust aerosols from passive satellite images is of great interest for many applications. In this study, we developed 5 different machine-learning (ML) and deep-learning (DL) based algorithms, including Logistic ...
    • Maintaining levels of activity using a haptic personal training application 

      Qian, Huimin; Kuber, Ravi; Sears, Andrew (Association for Computing Machinery, 2010-04)
      This paper describes the development of a novel mobile phone-based application designed to monitor the walking habits of older adults. Haptic cues integrated within the prototype, are designed to inform an individual of ...
    • Makers with a Cause: Fabrication, Reflection and Community Collaboration 

      Hamidi, Foad; Baljko, Melanie (Springer Nature, 2015-07-22)
      The potential of using maker and DIY approaches for collaborative learning is widely recognized. Maker techniques such as rapid prototyping are being increasingly adopted by schools, universities and colleges in order to ...
    • Managing Cloud Storage Obliviously 

      Narkhede, Vaishali; Joshi, Karuna Pande; Finin, Tim; Choi, SeungGeol; Aviv, Adam; Roche, Daniel S (IEEE, 2017-01-19)
      Consumers want to ensure that their enterprise data is stored securely and obliviously on the cloud, such that the data objects or their access patterns are not revealed to anyone, including the cloud provider, in the ...
    • Measuring Peer Mentoring Effectiveness in Computing Courses: A Case study in Data Analytics for Cybersecurity 

      Faridee, Abu Zaher Md; Janeja, Vandana P. (IEEE, 2020-02-20)
      Computing courses often suffer from lack of diversity. In this paper we evaluate an intervention method of peer mentoring to help increase interest in data analytics in cybersecurity. We present a text mining approach to ...
    • Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies 

      Elluri, Lavanya; Joshi, Karuna Pande; Kotal, Anantaa (IEEE, 2020-12-13)
      Data protection authorities formulate policies and rules which the service providers have to comply with to ensure security and privacy when they perform Big Data analytics using users Personally Identifiable Information ...
    • Measuring speaking anxiety of English language learners with the E4 

      Lee, Heera (Empatica, 2021-02-15)
      Language instructors often assign tasks such as presentations to evaluate communication skills among English language learners (ELLs). However, delivering a presentation in a non-native language has been reported as one ...