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PARIS: Personalized Activity Recommendation for Improving Sleep Quality [article]

Meghna Singh, Saksham Goel, Abhiraj Mohan, Louis Kazaglis, Jaideep Srivastava
2021 arXiv   pre-print
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
more » ... 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.
arXiv:2110.13745v1 fatcat:rkjfliwu6vbzjhdjm5v2ouqf7e

University Operations During a Pandemic: A Flexible Decision Analysis Toolkit [article]

Himanshu Kharkwal, Dakota Olson, Jiali Huang, Abhiraj Mohan, Ankur Mani, Jaideep Srivastava
2020 arXiv   pre-print
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
more » ... 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.
arXiv:2010.10112v1 fatcat:uk44dzloffh3ribod2cv6bbj6u

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting

Abdelkader Baggag, Sofiane Abbar, Ankit Sharma, Tahar Zanouda, Abdulaziz Al-Homaid, Abhiraj Mohan, Jaideep Srivasatava
2019 IEEE Transactions on Knowledge and Data Engineering  
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)  
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

Hari Dutt Sharma
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