Filters








1,438 Hits in 5.7 sec

Scalable Generation of Synthetic GPS Traces with Real-Life Data Characteristics [chapter]

Konrad Bösche, Thibault Sellam, Holger Pirk, René Beier, Peter Mieth, Stefan Manegold
2013 Lecture Notes in Computer Science  
On the other hand, while easily scalable, synthetically generated data often fail to adequately reflect real-life data characteristics.  ...  We compare the generated data to real-life data to demonstrate how well the synthetically generated data reflects real-life data characteristics.  ...  that preserves real-life data characteristics.  ... 
doi:10.1007/978-3-642-36727-4_10 fatcat:vnj5i3rsmnbxhaxstebilw34my

Extracting a Mobility Model from Real User Traces

M. Kim, D. Kotz, S. Kim
2006 Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications  
Our validation shows that synthetic tracks match real tracks with a median relative error of 17%.  ...  In this paper, we provide a foundation for such work by exploring mobility characteristics in traces of mobile users.  ...  We would like to thank Udayan Deshpande, Tristan Henderson, and Libo Song for their help in collecting sample traces.  ... 
doi:10.1109/infocom.2006.173 dblp:conf/infocom/KimKK06 fatcat:ubv7b7qbxvfozkncjcvch2z4xi

In Search of Lost Utility: Private Location Data

Szilvia Lestyán, Gergely Ács, Gergely Biczók
2022 Proceedings on Privacy Enhancing Technologies  
To generate high-fidelity synthetic data, we leverage several peculiarities of vehicular mobility such as its language-like characteristics ("you should know a location by the company it keeps") or how  ...  resulting in unrealistic traces and non-scalable methods.  ...  Acknowledgement The research was supported by the Ministry of Innovation and Technology NRDI Office within the framework of the Artificial Intelligence National Laboratory Program.  ... 
doi:10.56553/popets-2022-0076 fatcat:ab2j5zquovbxhjfaq5liikmowm

In Search of Lost Utility: Private Location Data [article]

Szilvia Lestyán, Gergely Ács, Gergely Biczók
2022 arXiv   pre-print
To generate high-fidelity synthetic data, we leverage several peculiarities of vehicular mobility such as its language-like characteristics ("you should know a location by the company it keeps") or how  ...  We evaluate our model against two state-of-the-art methods and three real-life datasets demonstrating the benefits of our approach.  ...  Then, it generates one synthetic trace using one real trace as its seed.  ... 
arXiv:2008.01665v2 fatcat:5pbpccww4zgxjgnesmehynnk3q

Approximate Nearest Neighbour Search on Privacy-aware Encoding of User Locations to Identify Susceptible Infections in Simulated Epidemics [article]

Chandan Biswas, Debasis Ganguly, Ujjwal Bhattacharya
2020 arXiv   pre-print
Experiments conducted on real and synthetic datasets demonstrate that the top-k retrieved lists of susceptible users retrieved with existing ANN approaches (KD-tree and HNSW) yield satisfactory precision  ...  a list of top-k suspected users in real-time.  ...  Since the real dataset is limited by the number of available check-ins, in order to collate a larger dataset of locations we generate synthetic data with random walk.  ... 
arXiv:2004.08851v2 fatcat:krst4ezyzzfcrpsk7sprog72pu

Human mobility in opportunistic networks: Characteristics, models and prediction methods

Poria Pirozmand, Guowei Wu, Behrouz Jedari, Feng Xia
2014 Journal of Network and Computer Applications  
Opportunistic networks (OppNets) are modern types of intermittently connected networks in which mobile users communicate with each other via their short-range devices to share data among interested observers  ...  In this paper, we present a thorough survey of human mobility issues in three main groups (1) mobility characteristics, (2) mobility models and traces, and (3) mobility prediction techniques.  ...  Acknowledgments This research is sponsored in part by the National Natural Science Foundation of China (Contract/Grant Nos. 61173179 and 61202441).  ... 
doi:10.1016/j.jnca.2014.03.007 fatcat:uoq7l77p6vfl3oq2o45t5hwjmq

Data-driven generation of spatio-temporal routines in human mobility

Luca Pappalardo, Filippo Simini
2017 Data mining and knowledge discovery  
We instantiate Ditras with the proposed diary and trajectory generators and compare the resulting algorithm with real data and synthetic data produced by other generative algorithms, built by instantiating  ...  We propose a data-driven algorithm which constructs a diary generator from real data, capturing the tendency of individuals to follow or break their routine.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10618-017-0548-4 pmid:31258383 pmcid:PMC6560649 fatcat:blhnb4fay5cedojogimbx72cr4

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Jerome Harri, Fethi Filali, Christian Bonnet
2009 IEEE Communications Surveys and Tutorials  
On the other hand, the research community cannot have access to realistic traffic generator which have not been designed to collaborate with network simulators.  ...  One of the challenges posed by the study of VANETs is the definition of a generic mobility model providing an accurate, realistic vehicular mobility description at both macroscopic and microscopic levels  ...  In [2] , authors proposed to validate some key characteristics of the RWP such as average speed and rest times using real life data.  ... 
doi:10.1109/surv.2009.090403 fatcat:mas7nywmy5deno5twy42gwzks4

Simulating Opportunistic Networks: Survey and Future Directions

Jens Dede, Anna Forster, Enrique Hernandez-Orallo, Jorge Herrera-Tapia, Koojana Kuladinithi, Vishnupriya Kuppusamy, Pietro Manzoni, Anas bin Muslim, Asanga Udugama, Zeynep Vatandas
2018 IEEE Communications Surveys and Tutorials  
In this survey, we focus on available tools and models, compare their performance and precision and experimentally show the scalability of different simulators.  ...  We also perform a gap analysis of state-of-the-art Opportunistic Network simulations and sketch out possible further development and lines of research.  ...  Realistic and Scalable Mobility Models In general, real mobility models (i.e., trace based) have many disadvantages, mainly related to flexibility, scalability and trace generation.  ... 
doi:10.1109/comst.2017.2782182 fatcat:ywucaxtzp5dxpa6wnqgdwsjzoy

ℱ-EBM: Energy Based Learning of Functional Data [article]

Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf, Andrew Duncan
2022 arXiv   pre-print
We demonstrate the efficacy of our proposed approach for modelling a range of datasets, including data collected from Standard and Poor's 500 (S\&P) and UK National grid.  ...  Firstly, training data is often not evaluated along a fixed set of points. Secondly, steps must be taken to control the behaviour of the model between evaluation points, to mitigate overfitting.  ...  We demonstrate the efficacy of the proposed approach using both synthetic and real data-sets.  ... 
arXiv:2202.01929v1 fatcat:gb7my555nff27ixyzbmzwypgsm

MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction

Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten
2017 Journal of Communications  
Experiments on real and synthetic datasets have shown that the performance of the designed model is excellent when compared to two state-of-the-art models.  ...  Unlike many prediction models, the designed model is noise tolerant, and can thus provide high accuracy even with data that contains noise and inaccuracies such as GPS mobility data.  ...  However, real-life trajectory data such as GPS trajectories often contain location errors or miss data points, which may result in performing incorrect predictions.  ... 
doi:10.12720/jcm.12.12.668-676. fatcat:quwfcttevbgxzeemclabo7zxs4

Indexing of real time geospatial data by IoT enabled devices: Opportunities, challenges and design considerations

Natalia Chaudhry, Muhammad Murtaza Yousaf, Muhammad Taimoor Khan
2020 Journal of Ambient Intelligence and Smart Environments  
These applications involve huge number of sensors and devices that generate high volume of real time data.  ...  In this paper, we performed a detailed survey of the literature regarding the indexing of real time geospatial data generated by IoT enabled devices.  ...  Huge amount of data with spatiotemporal characteristics will be generated by these diverse sensors.  ... 
doi:10.3233/ais-200565 fatcat:guzi2qgf4balhcvjnhlcnqjuru

Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing

Sashank Narain, Guevara Noubir
2019 Proceedings on Privacy Enhancing Technologies  
service to enable users to provide obfuscated or synthetic location trajectories or sensor traces to apps they find useful, but do not trust with their private information.  ...  MATRIX also implements a Location Provider component that generates realistic privacy-preserving synthetic identities and trajectories for users by incorporating traffic information using historical data  ...  We chose an alternative approach to them as they rely on data-sets of real traces which limits scalability to cities where traces are unavailable.  ... 
doi:10.2478/popets-2019-0020 dblp:journals/popets/NarainN19 fatcat:r4bsty7tzvdoro43juq3y3242q

Identifying Stops and Moves in WiFi Tracking Data

Cristian Chilipirea, Mitra Baratchi, Ciprian Dobre, Maarten van Steen
2018 Sensors  
However, even with the increase in accuracy, the problem, of separating traces in periods of stops and movements, remains similar to the one we encountered for WiFi tracking.  ...  WiFi tracking is a scalable solution that has gained attention recently. This method permits unobtrusive tracking of large crowds, at a reduced cost.  ...  An important step in simplifying traces is to partition the data into stop and move periods. We have selected three algorithms that can partition traces generated using GPS data.  ... 
doi:10.3390/s18114039 pmid:30463269 fatcat:x6botgthbfeshnvvqd2zdcnvzu

Review of Big Data and Processing Frameworks for Disaster Response Applications

Silvino Pedro Cumbane, Gyozo Gidófalvi
2019 ISPRS International Journal of Geo-Information  
The availability of different big data such as satellite imageries, Global Positioning System (GPS) traces, mobile Call Detail Records (CDRs), social media posts, etc., in conjunction with advances in  ...  However, disaster response systems development usually requires the integration of data from different sources (streaming data sources and data sources at rest) with different characteristics and types  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8090387 fatcat:2fhh4kol2nfatbokwiggnfm5ge
« Previous Showing results 1 — 15 out of 1,438 results