Results 41 to 50 of about 3,208 (177)

Rank deficiency of Kalman error covariance matrices in linear time-varying system with deterministic evolution [PDF]

, 2016
We prove that for-linear, discrete, time-varying, deterministic system (perfect-model) with noisy outputs, the Riccati transformation in the Kalman filter asymptotically bounds the rank of the forecast and the analysis error covariance matrices to be ...
Alberto Carrassi, Amit Apte, Bonnabel S., Christopher K. R. T. Jones, Cohn S. E., Colin Grudzien, Karthik S. Gurumoorthy, Merikoshi J. K., Oseledets V. I., Talagrand O., Trevisan A., Wojtowski M. P.   +11 more
core   +2 more sources

A Secure Recommendation System for Providing Context‐Aware Physical Activity Classification for Users

Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021
Advances in Wireless Body Area Networks, where embedded accelerometers, gyroscopes, and other sensors empower users to track real‐time health data continuously, have made it easier for users to follow a healthier lifestyle. Various other apps have been intended to choose suitable physical exercise, depending on the current healthcare environment.
Sudhakar Sengan, V Subramaniyaswamy, Rutvij H. Jhaveri, Vijayakumar Varadarajan, Roy Setiawan, Logesh Ravi, Feiran Huang   +6 more
wiley   +1 more source

Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine

ISPRS International Journal of Geo-Information, 2021
Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation.
Dongjin Yu, Yi Shen, Kaihui Xu, Yihang Xu   +3 more
doaj   +1 more source

Joint Modeling of User Behaviors Based on Variable‐Order Additive Markov Chain for POI Recommendation

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
The POI recommendation system has become an important means to help people discover attractive and interesting places. Based on our data analysis, we observe that users pay equal attention to conservatism and curiosity. In particular, adopting analysis corresponding to different time intervals, we find that users lean towards old POIs in the short term
RuiChang Li, Yuyu Yin
wiley   +1 more source

Efficient Semantic Enrichment Process for Spatiotemporal Trajectories

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
The increasing availability of location‐acquisition technologies has enabled collecting large‐scale spatiotemporal trajectories, from which we can derive semantic information in urban environments, including location, time, direction, speed, and point of interest.
Bin Zhao, Mingyu Liu, Jingjing Han, Genlin Ji, Xintao Liu, Fa Zhu   +5 more
wiley   +1 more source

Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs [PDF]

Mobile Information Systems, 2021
The rise of Internet of Things (IoT) technology promotes the rapid development of location services industry. The idea of smart connectivity also provides a new direction for Location-Based Social Networks (LBSNs). However, due to limited calculate ability and internal storage space of IoT devices, historical location data of users is generally stored ...
Liang Zhu, Xiaowei Liu, Liping Yu, Zengyu Cai, Jianwei Zhang   +4 more
openaire   +1 more source

Social Relationships and Temp-Spatial Behaviors Based Community Discovery to Improve Cyber Security Practices

IEEE Access, 2019
Cyber security significantly relies on the dynamic communities in social networks. The location-based social network (LBSN) is a new type of social system that has sprung up recently that.
Jiuxin Cao, Weijia Liu, Biwei Cao, Pan Wang, Shancang Li, Bo Liu, Muddesar Iqbal   +6 more
doaj   +1 more source

A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation [PDF]

, 2017
Recommending a ranked list of interesting venues to users based on their preferences has become a key functionality in Location-Based Social Networks (LBSNs) such as Yelp and Gowalla.
Burges Christopher J., Cheng Chen, Manotumruksa Jarana, Rendle Steffen, Yuan Fajie   +4 more
core   +1 more source

Multi-scale spatio-temporal analysis of human mobility [PDF]

, 2017
The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however, limited data resolution and coverage have hindered a coherent description
A Baronchelli, A Bazzani, A Noulas, A Stopczynski, Andrea Baronchelli, B Hawelka, B Jiang, C Poletto, C Roth, C Song, CM Schneider, CZ Yao, D Brockmann, E Raposo, EJ Wagenmakers, G Krings, G Ranjan, GM Viswanathan, H Liu, H Mouri, HH Jo, I Rhee, J Tang, JA Nelder, JD Hunter, L Gong, L Wu, Laura Alessandretti, M Karsai, M Kivelä, M Mitzenmacher, M Santos, MA Lomholt, MC Gonzalez, P Van Mieghem, Piotr Sapiezynski, R Gallotti, R Gallotti, R Gallotti, R Jurdak, S Hasan, S Petrovskii, Sune Lehmann, Tobias Preis, W Wang, X Liang, XP Han, XW Wang, Y Liu, Y Liu, Z Cheng   +50 more
core   +9 more sources

How Location-Based Social Network (LBSN) Data Contribute to Contemporary Urban Development

, 2021
In recent years, social media has created a large amount of new data due to the development of Internet technologies. Scholars in related fields focus a lot on the location-based social network (LBSN) and data generated from LBSN to provide new ideas for
Yanbo Wu, Xiaoxiang Zhu
semanticscholar   +1 more source