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FLICA: A Framework for Leader Identification in Coordinated Activity [article]

Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf
2016 arXiv   pre-print
The results of our leadership model are consistent with ground-truthed biological data and the framework finds many known events in financial data which are not otherwise reflected in the aggregate NASDAQ  ...  Leadership is an important aspect of social organization that affects the processes of group formation, coordination, and decision-making in human societies, as well as in the social system of many other  ...  Our framework is capable of: • Detecting events of coordinated activity: discovering time intervals of coordination in group activity data and the transition periods of decision-making which lead to that  ... 
arXiv:1603.01570v1 fatcat:ir4offjn5jeqrempbhobl5fsnu

Investigation of the regeneration of precipitating convective cloud in basin topography area

R Fitriani, N J Trilaksono, T W Hadi
2019 IOP Conference Series: Earth and Environment  
This study proposed regeneration index (RegI) as initial identification for convective cloud regeneration from daily rainfall data with multiple peaks.  ...  The cases that obtained through the RegI were then verified by satellite data. Both cases at 27 February and 1 May 2017 show that the regeneration of convective cloud was detected in the study area.  ...  This research was supported by Institut Teknologi Bandung through Research, Community Service, and Innovation Program (P3MI) ITB 2018.  ... 
doi:10.1088/1755-1315/303/1/012015 fatcat:di2n4uyolffcfhmnxw6bbet7fi

Multi-stage Real-time Identification for Data Stream Events with Drift Feature Based on DTW

Junlu Wang, Chengfeng Liu, Linlin Ding, Hao Luo, Baoyan Song
2019 IEEE Access  
of final disaster events quickly through the initial real-time identification and the final realtime identification process.  ...  First, the initial identification domain of data stream events is determined, and an anti-aliasing model based on dynamic time warping is constructed for the drift feature of the data stream, realizing  ...  Definition 1 (Data Stream Event): A collection of consecutive abnormal data, initiated by the first outlier in a time series beyond the threshold range, and lasting for a period of time.  ... 
doi:10.1109/access.2019.2926373 fatcat:n7zpqg5sfzfu3aszq5nns5lxgm

Framework for Inferring Leadership Dynamics of Complex Movement from Time Series [chapter]

Chainarong Amornbunchornvej, Tanya Berger-Wolf
2018 Proceedings of the 2018 SIAM International Conference on Data Mining  
However, by using only time series of activities data, inferring leadership as manifested by the initiation of coordinated activities faces many challenging issues.  ...  First, coordinated activities are dynamic and are changing over time. Second, several different coordinated activities might occur simultaneously among subgroups.  ...  We are planning to report the Granger causality results for leadership inference in our next paper. The code, datasets, and supplementary files that we used in this paper can be found at [1].  ... 
doi:10.1137/1.9781611975321.62 dblp:conf/sdm/Amornbunchornvej18 fatcat:p467rrmf4jbwbjevm66ckw2m24

Automatic real-time gait event detection in children using deep neural networks

Łukasz Kidziński, Scott Delp, Michael Schwartz, Manoj Srinivasan
2019 PLoS ONE  
In this paper, we use a data-driven approach to predict foot-contact and foot-off events from kinematic and marker time series in children with normal and pathological gait.  ...  Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows.  ...  Acknowledgments Our research was supported by the Mobilize Center, a National Institutes of Health Big Data to Knowledge (BD2K) Center of Excellence through Grant U54EB020405.  ... 
doi:10.1371/journal.pone.0211466 pmid:30703141 pmcid:PMC6354999 fatcat:kput4wctc5dgpemb3rg7tsehm4

Improvement in the reconstruction method for VAMOS spectrometer

S. Pullanhiotan, A. Chatterjee, B. Jacquot, A. Navin, M. Rejmund
2008 Nuclear Instruments and Methods in Physics Reseach B  
For each detected event, a set of coordinates lying close to the measured trajectory are selected from the database and the target parameters of interest are determined by polynomial interpolation.  ...  Parameters are reconstructed using a numerical procedure with a polynomial relationship between the measured final coordinates and the quantities of interest.  ...  The authors are thankful to the GANIL team for their excellent support in operating the facility. They would also like to thank various colleagues for help and insightful discussions.  ... 
doi:10.1016/j.nimb.2008.05.024 fatcat:g2lqgvz2kjhtbitzvmbdfygnya

Concept and Research Framework for Coordinated Situation Awareness and Active Defense of Cyber-physical Power Systems Against Cyber-attacks

Ming Ni, Manli Li, Jun'e Li, Yingjun Wu, Qi Wang
2021 Journal of Modern Power Systems and Clean Energy  
The researches on identification at the physical side mainly focus on the methods of identifying bad data and malicious data in the applications of state estimation, i.e., temporal correlation identification  ...  Finally, key technologies for cyber-physical coordinated situation awareness and active defense against cyber-attacks are introduced.  ...  characteristics of time-series of the cyberside data under cyber-attack.  ... 
doi:10.35833/mpce.2018.000830 fatcat:2ahdvcutkvhhli6vldv22hm37m

Automamatic detection of discontinuities in the station position time series of the reprocessed global GNSS network using Bernese GNSS Software

Joanna Najder
2020 Acta geodynamica et geomaterialia  
As a result, many approaches have been identified that identify and remove discontinuities in the GNSS coordinate time series.  ...  On the other hand, routine interpretation of GNSS coordinate time series in a fully autonomous manner, although much faster, is not free from drawbacks, in particular in detecting appropriate epochs of  ...  The program enables the automatic analysis of the coordinate time series, including automatic detection of discontinuities, velocity changes, periodic events, and outliers, as well as the identification  ... 
doi:10.13168/agg.2020.0032 fatcat:vbxqyytq3jdorjxtifett4327y

Roadmap for the international collaborative epidemiologic monitoring of safety and effectiveness of new high priority vaccines

Hector S. Izurieta, Patrick Zuber, Jan Bonhoeffer, Robert T. Chen, Osman Sankohg, Kayla F. Laserson, Miriam Sturkenboom, Christian Loucq, Daniel Weibel, Caitlin Dodd, Steve Black
2013 Vaccine  
Acknowledgements The authors would like to thank the organizers and sponsors of the following meetings that fostered discussions and collaborations leading to this paper: 1) Global Vaccine Safety Datalink  ...  They have shown capacity for timely identification of serious safety concerns [18, 19] .  ...  The investigation of those concerns, when performed in time, can lead to the identification of programmatic errors of serious consequence [23, 24] .  ... 
doi:10.1016/j.vaccine.2013.05.027 pmid:23707171 fatcat:tvcsnuog6jbepk3kqwjd4ceaoa

Distinguishing multiple smart-phone interactions on a multi-touch wall display using tilt correlation

William Hutama, Peng Song, Chi-Wing Fu, Wooi Boon Goh
2011 Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11  
to determine the reliability of each device identification.  ...  amongst users' portable devices and the shared wall display.  ...  Here we record time-series data, say θ m,t and θ p,t for θ m and θ p by slowly rotating the phone over the wall, and apply a degree-five polynomial to fit the mapping, say f , from θ p to θ m , to minimize  ... 
doi:10.1145/1978942.1979433 dblp:conf/chi/HutamaSFG11 fatcat:l5bubybesrfuzke526p464atn4

Anomalous temperature changes in the UTLS region prior to the 2008 Nura Earthquake

Leonid Sverdlik, G.M. Tsybulski Gennady, M.V. Noskov, Yu.A. Maglinets
2021 E3S Web of Conferences  
The paper presents results of retrospective analysis of satellite temperature time series above the epicentral area of the destructive Nura earthquake of M=6.7, occurred in a seismically active Tien-Shan  ...  Temporal and spatial distributions of the temperature perturbations consistently appeared at various UTLS levels suggest probable association with seismic event preparation.  ...  The study is partially performed within the framework of the state task of the Federal State Budgetary Institution of Science, Research Station of Russian Academy of Sciences in Bishkek (theme No.  ... 
doi:10.1051/e3sconf/202133302013 fatcat:sjrbdmt7nzhbzpcrex7io6uvx4

Model selection for hybrid dynamical systems via sparse regression

N. M. Mangan, T. Askham, S. L. Brunton, J. N. Kutz, J. L. Proctor
2019 Proceedings of the Royal Society A  
This methodology broadly empowers nonlinear system identification without constraining the data locally in time and has direct connections to hybrid systems theory.  ...  Clustering the data in these measurement-based coordinates enables the identification of nonlinear hybrid systems.  ...  We are grateful to Jeff Aguilar and Daniel Goldman for discussions of their Jumping Robot system.  ... 
doi:10.1098/rspa.2018.0534 pmid:31007544 pmcid:PMC6451978 fatcat:qbq54lmk3fhjxmjqgpkvepsd4u

Performance of VAMOS for reactions near the Coulomb barrier

S. Pullanhiotan, M. Rejmund, A. Navin, W. Mittig, S. Bhattacharyya
2008 Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment  
Complete identification of reaction products has been achieved by trajectory reconstruction.  ...  The technique for trajectory reconstruction and its application for identifying reaction products are presented.  ...  Part of this work was funded by the European Commission under contract 506065 (EURONS/INTAG) and one of us (S. P) also acknowledges the above for full financial support during his stay at GANIL.  ... 
doi:10.1016/j.nima.2008.05.003 fatcat:p4n4suu57rgbdhorsq2bh7f4fa

Location-Based Events Detection on Micro-Blogs [article]

Augusto Dias Pereira dos Santos, Leandro Krug Wives, Luis Otavio Alvares
2012 arXiv   pre-print
The proposed method is based on a neural network that is used to detect outliers from a time series, which is built upon statistical data from tweets located on different political divisions (i.e., countries  ...  Some of these data have temporal and geographical information, which can be used for comprehensive examination.  ...  in a time instance (or bin); -IGMN: The neural network is used to create data models and identify outliers; -Place Outliers: Consist in the time instances that were detected as outliers in both time series  ... 
arXiv:1210.4008v1 fatcat:g2advogowbbn5jwpk4adi6a43a

An Enhanced Evaluation Method of Sequential Probability Ratio Test

Gabor Gardonyi, Gabor Por, Krisztian Samu
2019 Mathematical Problems in Engineering  
Events in acquired data series, their duration, and statistical parameters provide useful information about the observed system and about its current state.  ...  Accurate event detection has high priority in many technical applications.  ...  Budapest University of Technology and Economics (BME FIKP-MI/FM).  ... 
doi:10.1155/2019/4724507 fatcat:nbaswfafebbpnargzzwgwfjbcm
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