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Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach [article]

Xiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi
2022 arXiv   pre-print
Recommender systems have been successfully used in many domains with the help of machine learning algorithms.  ...  Unlike most existing approaches, our approach achieves personalization by inferring the fitness characteristics of users from sensory data and thus minimizing the need for explicitly collecting user identity  ...  Recommender systems generally follow two basic approaches: collaborative filtering or content-filtering [1] .  ... 
arXiv:2203.12200v1 fatcat:ctcb2t26djbehcm3uyhuf4fd64

Dynamic Social Interaction Mechanics CrossAnt [article]

Samuel Gomes, Carlos Martinho, João Dias
2019 arXiv   pre-print
While some of the levels required the input from both players in order to be completed, others could be completed by each player independently.  ...  In this scope, we believe there is a growing need to explore the impact game mechanics have on the players' interactions and perception.  ...  If the player selects a letter which is not the next one to complete the request, he/she looses a life. When a certain amount of lives are lost, the game ends.  ... 
arXiv:1811.07243v2 fatcat:wn64xxgeivhubblomwoc74d6h4

Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments [article]

Maria A. Rodriguez, Rajkumar Buyya
2018 arXiv   pre-print
We find that our proposed approaches are capable of reducing the cost by 58% when compared to the default Kubernetes scheduler.  ...  The majority of these platforms are tailored to optimize the scheduling of containers on a fixed-sized private cluster but are not enabled to autoscale the size of the cluster nor to consider features  ...  Acknowledgments This work supported through a collaborative research agreement between the University of Melbourne and Samsung Electronics (South Korea) as part of the Samsung GRO (Global Research Outreach  ... 
arXiv:1812.00300v1 fatcat:qvn6olojkndytdapihhekfzfje

The Swarmathon: An Autonomous Swarm Robotics Competition [article]

Sarah M. Ackerman, G. Matthew Fricke, Joshua P. Hecker, Kastro M. Hamed, Samantha R. Fowler, Antonio D. Griego, Jarett C. Jones, J. Jake Nichol, Kurt W. Leucht, Melanie E. Moses
2018 arXiv   pre-print
Virtual competitors complete an identical challenge in simulation. Participants mentor local teams to compete in a separate High School Division.  ...  Robots operate completely autonomously with no global map, and each team's algorithm must be sufficiently flexible to effectively find resources from a variety of unknown distributions.  ...  This allows a team of 6 Swarmies to search a linear distance of 34.5 km on a single charge, nearly the distance of a marathon that the remote-controlled Mars Rover Opportunity took 11 years to complete  ... 
arXiv:1805.08320v1 fatcat:rbigep2erbfpvk3zjfy6xe2orq

IoTwins: Toward Implementation of Distributed Digital Twins in Industry 4.0 Settings

Alessandro Costantini, Giuseppe Di Modica, Jean Christian Ahouangonou, Doina Cristina Duma, Barbara Martelli, Matteo Galletti, Marica Antonacci, Daniel Nehls, Paolo Bellavista, Cedric Delamarre, Daniele Cesini
2022 Computers  
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY  ...  Conflicts of Interest: The authors declare no conflict of interest.  ...  The status of the instances running on a docker container is continuously monitored by Marathon: in case one of the containers fails, Marathon is able to reschedule it.  ... 
doi:10.3390/computers11050067 dblp:journals/computers/CostantiniMADMG22 fatcat:nm3wxtczyjg7vgvkpv64nbzrqq

Identifying the Need to Intervene: Analysis and Representation of Interaction Patterns in Group Programming Learning [chapter]

Thais Castro, David Robertson, Hugo Fuks, Alberto Castro
2011 Lecture Notes in Computer Science  
approach to learning, combined with (iii) a team-based approach to programming; and (iv) the use of a Progressive Learning Scheme for group programming learning.  ...  Based on a real-world research setting that started two decades ago, we have exploited a particular context characterized by: (i) a close analysis of artifacts produced by learners; (ii) a collaborative  ...  Hugo Fuks has a research grant from CNPq and "Cientista do Nosso Estado" grant from FAPERJ. This work used resources from GroupwareMining Project -Proc.575553/2008-1, CNPq/CT-Amazônia n.055/2008.  ... 
doi:10.1007/978-3-642-23801-7_13 fatcat:ngupe2l2w5aqbml35gynizexpi

Face Search at Scale

Dayong Wang, Charles Otto, Anil K. Jain
2017 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Given a probe face, we first filter the large gallery of photos to find the top-k most similar faces using features learned by a convolutional neural network.  ...  To address this challenge, we propose a face search system which combines a fast search procedure, coupled with a state-of-the-art commercial off the shelf (COTS) matcher, in a cascaded framework.  ...  ACKNOWLEDGEMENTS This research was supported by the National Institute of Justice (NIJ) grant 2011-IJ-CX-K057.  ... 
doi:10.1109/tpami.2016.2582166 pmid:27333599 fatcat:wirvy4vddjafnfna4i4mpkz4n4

An Electromagnetic Sensor for the Autonomous Running of Visually Impaired and Blind Athletes (Part II: The Wearable Device)

Marco Pieralisi, Valentina Di Mattia, Valerio Petrini, Alfredo De Leo, Giovanni Manfredi, Paola Russo, Lorenzo Scalise, Graziano Cerri
2017 Sensors  
This theoretical approach allows for an estimation of the signals to be detected, and guides the design of a suitable signal processing board.  ...  marathon path.  ...  and left arms, which allowed the user to complete the laps autonomously.  ... 
doi:10.3390/s17020381 pmid:28212348 pmcid:PMC5335952 fatcat:h3hbdhvpbngozakl4m57ejtr6a

Using Recommendation to Improve Negotiations in Agent-Based Systems [chapter]

Mateusz Lenar, Janusz Sobecki
2005 Lecture Notes in Computer Science  
The proposed methodology is presented using a travel agency and its client negotiation.  ...  On the base of a negotiation algorithm we have studied how recommendation methods can improve the whole process of finding mutually acceptable agreements between agents.  ...  Collaborative Filtering CF makes automatic predictions (filtering) about the recommended items by collecting and using information about testes of other users (collaboration) [wikipedia 06].  ... 
doi:10.1007/11552451_72 fatcat:ap5gyqazwrbmnjay53odyw53he

Automated Movement Feedback for Recovering Independence in the Sit-to-Stand Movement in an Older Population: A Pilot Randomised Controlled Trial of a Novel System

Siu Fai Ho, University of Strathclyde, George Street, Glasgow, United Kingdom, Avril Thomson, Tricia Moylan, Julie McGuckin, Andrew Kerr, University of Strathclyde, George Street, Glasgow, United Kingdom, NHS Greater Glasgow and Clyde, Gartnavel General Hospital, Glasgow, United Kingdom, NHS Greater Glasgow and Clyde, Gartnavel General Hospital, Glasgow, United Kingdom, University of Strathclyde, George Street, Glasgow, United Kingdom
2019 OBM Geriatrics  
The intervention aimed to last four weeks with outcome measures repeated following completion.  ...  The sit-to-stand (StS) movement is a frequently performed task critical to independent living that is both difficult to perform and associated with falls in older populations.  ...  Avril Thomson: Contributed to the development of the rehabilitation system. Tricia Moylan and Julie McGuckin: Arranged and help to conduct the clinical trial.  ... 
doi:10.21926/obm.geriatr.1904089 fatcat:u2fkxarepzfnjhhexacl4xuaki

Hackathon for Learning Digital Theology in Computer Science

Emmanuel Awuni Kolog, Erkki Sutinen, Eeva Nygren
2016 International Journal of Modern Education and Computer Science  
Also, students agreed that the event helped them to think collaboratively for a refined ideas.  ...  to the groups to brainstorm and create a mock-up artefact suitable to tackle the challenge (assignment).  ...  ACKNOWLEDGEMENT We are grateful to the staff of kiteen kansanopisto at Kitee for providing us with the venue to host the hackathon.  ... 
doi:10.5815/ijmecs.2016.06.01 fatcat:dg3tcp4v3vev3bk3k5g5f6cqdi

Telling Breaking News Stories from Wikipedia with Social Multimedia: A Case Study of the 2014 Winter Olympics [article]

Thomas Steiner
2014 arXiv   pre-print
Athletes winning an Olympic competition, a new country leading the medal table, or simply the Olympics themselves are all events newsworthy enough for people to concurrently edit Wikipedia and Wikidata-around  ...  With this work, we connect the world of Wikipedia and Wikidata with the world of social network sites, in order to convey the spirit of the 2014 Winter Olympics, to tell the story of victory and defeat  ...  Wikipedia's initial role was to serve as a collaborative platform for draft articles for Nupedia.  ... 
arXiv:1403.4289v1 fatcat:gd2ugomtqzhodpsges745fllnu

EvoRecSys: Evolutionary framework for health and well-being recommender systems

Hugo Alcaraz-Herrera, John Cartlidge, Zoi Toumpakari, Max Western, Iván Palomares
2022 User modeling and user-adapted interaction  
Finally, this implementation has been deployed as a Web application in order to conduct a users' study.  ...  aspect to consider.  ...  Acknowledgements Hugo Alcaraz-Herrera's PhD is supported by The Mexican Council of Science and Technology (Consejo Nacional de Ciencia y Tecnología -CONACyT).  ... 
doi:10.1007/s11257-021-09318-3 fatcat:6klggpzd5za6tdpdjo37rwwjfe

Networks and Telecommunications [chapter]

Eric Waxvik, Samuel Chun
2010 (ISC)2 Press  
Socrate is hosted in the CITI laboratory of INSA Lyon  ...  However, we have shown that the use of a multi-resolution approach allows the main computation load to be restricted to a pre-processing phase.  ...  A Kalman filter is used for the interference prediction. In addition, the channel gains are also predicted, in order to anticipate channel fading states.  ... 
doi:10.1201/b10388-6 fatcat:iaho752lo5ba5mzrpygspfx4ra

Data Study Group Final Report: Entale

Data Study Group Team
2022 Zenodo  
Over time, Entale has also accrued a considerable volume of in-app user listening data. The Entale challenge was composed of two interrelated goals.  ...  Recommendation systems for podcast discovery Entale is a small London-based startup bringing together product designers, engineers, data scientists, producers, and journalists whose goal is to transform  ...  Some of this may be captured in the collaborative filtering approach.  ... 
doi:10.5281/zenodo.5818331 fatcat:wnuaarujiza4nmxpbikvwlojse
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