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PARIS: Personalized Activity Recommendation for Improving Sleep Quality
[article]
2021
arXiv
pre-print
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The quality of sleep has a deep impact on people's physical and mental health. People with insufficient sleep are more likely to report physical and mental distress, activity limitation, anxiety, and pain. Moreover, in the past few years, there has been an explosion of applications and devices for activity monitoring and health tracking. Signals collected from these wearable devices can be used to study and improve sleep quality. In this paper, we utilize the relationship between physical
arXiv:2110.13745v1
fatcat:rkjfliwu6vbzjhdjm5v2ouqf7e
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... ty and sleep quality to find ways of assisting people improve their sleep using machine learning techniques. People usually have several behavior modes that their bio-functions can be divided into. Performing time series clustering on activity data, we find cluster centers that would correlate to the most evident behavior modes for a specific subject. Activity recipes are then generated for good sleep quality for each behavior mode within each cluster. These activity recipes are supplied to an activity recommendation engine for suggesting a mix of relaxed to intense activities to subjects during their daily routines. The recommendations are further personalized based on the subjects' lifestyle constraints, i.e. their age, gender, body mass index (BMI), resting heart rate, etc, with the objective of the recommendation being the improvement of that night's quality of sleep. This would in turn serve a longer-term health objective, like lowering heart rate, improving the overall quality of sleep, etc.
University Operations During a Pandemic: A Flexible Decision Analysis Toolkit
[article]
2020
arXiv
pre-print
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Modeling infection spread during pandemics is not new, with models using past data to tune simulation parameters for predictions. These help understand the healthcare burden posed by a pandemic and respond accordingly. However, the problem of how college/university campuses should function during a pandemic is new for the following reasons:(i) social contact in colleges are structured and can be engineered for chosen objectives, (ii) the last pandemic to cause such societal disruption was over
arXiv:2010.10112v1
fatcat:uk44dzloffh3ribod2cv6bbj6u
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... 00 years ago, when higher education was not a critical part of society, (ii) not much was known about causes of pandemics, and hence effective ways of safe operations were not known, and (iii) today with distance learning, remote operation of an academic institution is possible. Our approach is unique in presenting a flexible simulation system, containing a suite of model libraries, one for each major component. The system integrates agent based modeling (ABM) and stochastic network approach, and models the interactions among individual entities, e.g., students, instructors, classrooms, residences, etc. in great detail. For each decision to be made, the system can be used to predict the impact of various choices, and thus enable the administrator to make informed decisions. While current approaches are good for infection modeling, they lack accuracy in social contact modeling. Our ABM approach, combined with ideas from Network Science, presents a novel approach to contact modeling. A detailed case study of the University of Minnesota's Sunrise Plan is presented. For each decisions made, its impact was assessed, and results used to get a measure of confidence. We believe this flexible tool can be a valuable asset for various kinds of organizations to assess their infection risks in pandemic-time operations, including middle and high schools, factories, warehouses, and small/medium sized businesses.
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
2019
IEEE Transactions on Knowledge and Data Engineering
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Abhiraj Mohan received the BS degree in computer science and engineering from the University of Minnesota at Twin Cities. His interests include machine learning and data science. ...
doi:10.1109/tkde.2019.2954868
fatcat:4w4qs2iaafbrxfxr56xufimste
ICISC 2020 Table of Contents
2020
2020 Fourth International Conference on Inventive Systems and Control (ICISC)
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Cloud
Environment
Anand Jumnal, Dilip Kumar S M
266
49
Development of Product Recommendation Engine By Collaborative Filtering
and Association Rule Mining Using Machine Learning Algorithms
Abhiraj ...
Govindarajulu,
S Chandra Mohan Reddy
514
94
A Novel Approach Using User Based Similarity For Recommendation
Systems
Vinod Jain, Kriti Bansal
S.No
Title/ Author Name
Page.No
95
An Internet ...
doi:10.1109/icisc47916.2020.9171157
fatcat:y3oh2zptcvdhdfji2k53xh4fma
Modern Sanskrit Poetry in Global Perspective
2020
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Mohan Lal Pandey wrote a poem "Patradūtam" (Pandey 1999) on the topic of the Gulf War. ...
The high-placed Sanskrit poet Abhiraj Rajendra Mishra visited Bali in Indonesia for two years as Visiting Professor of Sanskrit. ...
doi:10.14288/1.0391831
fatcat:63ufflmrkjd7bblomfidzxcsbi