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Indoor Localisation Using a Context-Aware Dynamic Position Tracking Model

Montserrat Ros, Joshua Boom, Gavin de Hosson, Matthew D'Souza
2012 International Journal of Navigation and Observation  
Low-powered localisation will become important for the next generation of pervasive media applications that operate on mobile platforms.  ...  Indoor wireless localisation is a widely sought feature for use in logistics, health, and social networking applications.  ...  Introduction The next generation of pervasive media applications, mobile social networking, and location-based services are increasingly reliant on accurate position localisation.  ... 
doi:10.1155/2012/293048 fatcat:jlgdjtppxbdzbl3tqognapieb4

Tracking Coronavirus Pandemic Diseases using Social Media: A Machine Learning Approach

Nuha Noha Fakhry, Evan Asfoura, Gamal Kassam
2020 International Journal of Advanced Computer Science and Applications  
With the increasing use of social media, a growing need exists for systems that can extract useful information from huge amounts of data.  ...  The dual machine learning approach used based on traditional data mining methods to estimate disease cases found in social media related to specific geographical region.  ...  ACKNOWLEDGMENT The researchers extend their thanks and gratitude to the Deanship of Graduate Studies and Scientific Research at Dar Al Uloom University for their support and funding of this study.  ... 
doi:10.14569/ijacsa.2020.0111028 fatcat:olay4ba5irbvbh22rkmqvvkmou

SOCIAL METRICS APPLIED TO SMART TOURISM

O. Cervantes, E. Gutiérrez, F. Gutiérrez, J. A. Sánchez
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage  ...  We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations.  ...  (Singhal et al., 2013) and represents a challenge in terms of mobility in certain periods of the year.  ... 
doi:10.5194/isprs-annals-iii-4-w1-117-2016 fatcat:a3ihp3n7s5d75put4fioprkmsm

SOCIAL METRICS APPLIED TO SMART TOURISM

O. Cervantes, E. Gutiérrez, F. Gutiérrez, J. A. Sánchez
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage  ...  We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations.  ...  (Singhal et al., 2013) and represents a challenge in terms of mobility in certain periods of the year.  ... 
doi:10.5194/isprs-annals-iv-4-w1-117-2016 fatcat:lm2x7iadhvca3bw3rjrfqhfdl4

Analysis of the spatial structure of Beijing from the point view of Weibo Data

Liya Yang, Carlos Ramiro Marmolejo Duarte
2020 ACE: Architecture, City and Environment  
no conflict of interest.  ...  Authorship The first author has been in charge of data collection, analysis and writing paper, and the second author has made the guidance and revision of the paper Conflict of interests: Authors declare  ...  Since 2009, the explosion of social media around the world, such as Twitter and Facebook, prompted academic studies based on social media.  ... 
doi:10.5821/ace.15.43.9302 fatcat:74p7k2kkwvbfjevztyz7bpbzim

BuSCOPE : Fusing Individual & Aggregated Mobility Behavior for "Live" Smart City Services [article]

Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah, Leman Akoglu, Shili Xiang, Archan Misra
2019 arXiv   pre-print
In this work, we demonstrate the power of applying predictive analytics on real-time mobility data, specifically the smart-card generated trip data of millions of public bus commuters in Singapore, to  ...  While analysis of urban commuting data has a long and demonstrated history of providing useful insights into human mobility behavior, such analysis has been performed largely in offline fashion and to  ...  A variety of approaches (e.g., using social media data [28] or bike trip records [39] ) have been proposed for such event detection.  ... 
arXiv:1905.06116v1 fatcat:xhwyfyfsgnenzloxhhgmzl4de4

Monitoring the Application [chapter]

Adam Shackelford
2015 Beginning Amazon Web Services with Node.js  
Another series of scripts push this media and database to the tablets for experience by the users.  ...  Note that OPTA-BLOOM-Pred can accept any time-discretized, periodic vehicle trajectory.  ...  His latest project, EveryBlock.com, provides a torrent of information culled from public databases, media sites and social media like Flickr for more than a dozen cities.  ... 
doi:10.1007/978-1-4842-0653-9_7 fatcat:b6s3wv3jcvf6xiniouokdhwtba

An attempt to optimize human resources allocation based on spatial diversity of COVID-19 cases in Poland [article]

Andrzej Jarynowski, Monika Wojta-Kempa, Lukasz Krzowski
2020 medRxiv   pre-print
We showed that immigration and the logarithm of general mobility is the best predictor of SARS-CoV-2 arrival times, while emigration, industrialization and air quality explain the most of the size of the  ...  Our analyses could support Polish authorities in preparation for the second wave of infections and optimal management of resources as we have provided a proposition of optimal distribution of human resources  ...  The authors would like to thank the European Commission (EOSC-48) for partial support of data collection, the NCN (2016/22/E/HS2/00034) and Karolina Czopek for proofreading, epidemiologists Vitaly Belik  ... 
doi:10.1101/2020.10.14.20090985 fatcat:5mhp7ltetnhjphr6x3wmjvbuoy

Handoff Management Relying on RFID Technology

Apostolia Papapostolou, Hakima Chaouchi
2010 2010 IEEE Wireless Communication and Networking Conference  
Chaouchi, Handoff Management Schemes in Future Pervasive Environments, submitted to the journal of Mobile Networks (Springer), SI on Future Internet for Green and Pervasive Media of the journal of Mobile  ...  Chaouchi, Handoff Management Schemes in Future Pervasive Environments, submitted to the journal of Mobile Networks (Springer), SI on Future Internet for Green and Pervasive Media of the journal of Mobile  ... 
doi:10.1109/wcnc.2010.5506534 dblp:conf/wcnc/PapapostolouC10 fatcat:utbsxhckdzf6bk6twloibiihlu

Two-Strain COVID-19 Model Using Delayed Dynamic System and Big Data

Vasyl Martsenyuk, Marcin Bernas, Aleksandra Klos-Witkowska.
2021 IEEE Access  
The data at the national, regional, and county-level which are seamlessly integrated with World Bank Open Data, Google Mobility Reports, Apple Mobility Reports, have been used.  ...  The proposed model is based on COVID-19 Big Data Hub. It enables us to predict pandemics development taking into account multiple virus strains and delays of infectiousness.  ...  In case of COVID-19 case, useful Big Data can be generated from social media, smartphones, IoT sensors and public data repositories [14] .  ... 
doi:10.1109/access.2021.3104519 fatcat:7c4xmvw4pjezzbrmowqsjm3lwq

A Crowdsourcing Approach for Sustainable Last Mile Delivery

Adriana Giret, Carlos Carrascosa, Vicente Julian, Miguel Rebollo, Vicente Botti
2018 Sustainability  
This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.).  ...  needed for delivery.  ...  Acknowledgments: This research was carried out as a part of the SURF project under the grant TIN2015-65515-C4-1-R by the Spanish government. Conflicts of Interest: There is no conflict of interest.  ... 
doi:10.3390/su10124563 fatcat:tgti5krqize4bkk46rn2lzcedy

Community Detection and Mining in Social Media

Lei Tang, Huan Liu
2010 Synthesis Lectures on Data Mining and Knowledge Discovery  
This book is an accessible introduction to the study of community detection and mining in social media.  ...  We also demonstrate how discovered patterns of communities can be used for social media mining.  ...  The members of the Social Computing Group, Data Mining and Machine Learning Lab at Arizona State University made this project enjoyable.  ... 
doi:10.2200/s00298ed1v01y201009dmk003 fatcat:bxcd7hnfffdadgg6zx6mgiqloy

Finding Potential Propagators and Customers in Location-Based Social Networks: An Embedding-Based Approach

Yi-Chun Chen, Cheng-Te Li
2020 Applied Sciences  
In the scenarios of location-based social networks (LBSN), the goal of location promotion is to find information propagators to promote a specific point-of-interest (POI).  ...  While existing studies mainly focus on accurately recommending POIs for users, less effort is made for identifying propagators in LBSN.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 8003  ... 
doi:10.3390/app10228003 fatcat:72a7zjdr4fdvtit2gmwyy2o4ey

Dynamics of Information Diffusion and Social Sensing [article]

Vikram Krishnamurthy, William Hoiles
2018 arXiv   pre-print
First, diffusion models for information exchange in large scale social networks together with social sensing via social media networks such as Twitter is considered.  ...  graph of social sensors, inverse optimization problems for utility function estimation (revealed preferences) and statistical modeling of interacting social sensors in YouTube social networks.  ...  The insight provided can be used by channel owners to design policies for maximizing user en-gagement by adjusting video meta-level features, promoting on external social media venues, and periodically  ... 
arXiv:1412.4171v2 fatcat:vzr3qshzhbe6ropj3auurktiwe

Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects

Aqeel Feroze, Ali Daud, Tehmina Amjad, Malik Khizar Hayat
2021 SN Computer Science  
The authors decided to survey existing group anomaly detection techniques because there is a need to consider group anomalies for mitigation of risks, prevention of malicious collaborative activities,  ...  Anomaly detection has evolved as a successful research subject in the areas such as bibliometrics, informatics and computer networks including security-based and social networks.  ...  rule-based models Periodic region detection (PRED) [73] Community memberships periodic mobility patterns Grid-based subspace [80] Graphical scores Locality for HD cases Netspot [69] Scores of regions  ... 
doi:10.1007/s42979-021-00603-x fatcat:oyjzthza7vbhnakpm3t2ko6ctq
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