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An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA

Jia Liu, Peng Gao, Jian Yuan, Xuetao Du
2010 Journal of Probability and Statistics  
In this paper, a method based on Random Matrix Theory (RMT) and Principal Components Analysis (PCA) is proposed for monitoring and analyzing large-scale traffic patterns in the Internet.  ...  Besides the analysis of the largest eigenvalue in RMT, useful information is also extracted from small eigenvalues by a method based on PCA.  ...  This work is supported by the National High Technology Research and Development Program no. 2007AA012430 .  ... 
doi:10.1155/2010/375942 fatcat:hjr4s3unjrh2rjnwzhhs2d4onm

Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach [article]

Viktoria Rojkova, Mehmed Kantardzic
2007 arXiv   pre-print
The method we use provides a unique possibility to accomplish three concurrent tasks of traffic analysis.  ...  It recognizes the system-specific large-scale interactions, by establishing the profile of stable in time non-random interactions.  ...  ACKNOWLEDGMENT This research was partially supported by a grant from the US Department of Treasury through a subcontract from the University of Kentucky.  ... 
arXiv:0706.2520v1 fatcat:2umabjwkcbgs5iar4l2wlpby7i

An Effective Network Traffic Data Control Using Improved Apriori Rule Mining

Subbiyan Prakash, Murugasamy Vijayakumar
2016 Circuits and Systems  
In this paper, a Rule Based System using Improved Apriori (RBS-IA) rule mining framework is proposed for effective monitoring of traffic occurrence over the network and control the network traffic.  ...  Based on the traffic conditions, the decision rule framework is introduced which derives and assigns the set of suitable rules to the appropriate states of the network.  ...  Random Matrix Theory (RMT) and Principal Components Analysis (PCA) developed in [6] for monitoring and analyzing large-scale traffic patterns in the Internet.  ... 
doi:10.4236/cs.2016.710269 fatcat:nbijkkstpnbmfgtyic26yyxl4q

Survey of wireless big data

Lijun Qian, Jinkang Zhu, Sihai Zhang
2017 Journal of Communications and Information Networks  
Wireless big data describes a wide range of massive data that is generated, collected and stored in wireless networks by wireless devices and users.  ...  This article reviews the recent advances and trends in the field of wireless big data.  ...  [32] , the authors presented a traffic monitoring and analysis system for large-scale networks, based on the Hadoop platform.  ... 
doi:10.1007/s41650-017-0001-2 fatcat:62r2dkm4inesrg3j3r3f3obgxm

Mapping Neurodegenerative Disease Onset and Progression

William W. Seeley
2017 Cold Spring Harbor Perspectives in Biology  
These data showed that each syndrome was anatomically linked to a specific large-scale network that could be detailed in the healthy brain with connectivity-based methods.  ...  The following paragraphs provide a brief overview of the major network-sensitive structural and functional magnetic resonance -based neuroimaging methods.  ... 
doi:10.1101/cshperspect.a023622 pmid:28289062 fatcat:7ilgt5kcsrhilpyt3ovm5gh5ui

Automating In-Network Machine Learning [article]

Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2022 arXiv   pre-print
However, most of the research was of a limited scope, providing a proof of concept or describing a closed-source algorithm.  ...  The results show that Planter-based in-network machine learning algorithms can run at line rate, have a negligible effect on latency, coexist with standard switching functionality, and have no or minor  ...  As shown in Equation 7 , the forward path of a trained PCA has two main steps: move and map.  ... 
arXiv:2205.08824v1 fatcat:lphkldydordxvce2p5wvgvskca

Internet of Things: Evolution, Concerns and Security Challenges

Parushi Malhotra, Yashwant Singh, Pooja Anand, Deep Kumar Bangotra, Pradeep Kumar Singh, Wei-Chiang Hong
2021 Sensors  
The deployment of a large number of objects adhered to the internet has unlocked the vision of the smart world around us, thereby paving a road towards automation and humongous data generation and collection  ...  The survey conducted provides a brief insight into the technology with prime attention towards the various attacks and anomalies and their detection based on the intelligent intrusion detection system  ...  Generating data entries by creating a testbed with more devices and sensors. N/A Ioannou et al. [85] c-SVM platform: RMT tool(Run time monitoring tool).  ... 
doi:10.3390/s21051809 pmid:33807724 fatcat:5qznjvr665fjpmh7vy5jzp6chy

The impact of weather and atmospheric circulation on O3 and PM10 levels at a rural mid-latitude site

M. Demuzere, R. M. Trigo, J. Vila-Guerau de Arellano, N. P. M. van Lipzig
2009 Atmospheric Chemistry and Physics  
The relations between meteorological actors and air quality are studied on a local scale based on observations from four rural sites and are determined by a comprehensive correlation analysis and a multiple  ...  Furthermore, the objective Lamb Weather Type approach is used to assess the influence of the large-scale circulation on air quality.  ...  This research is funded by a PhD grant of the Institute for the Promotion of Innovation through Science and Technology Flanders.  ... 
doi:10.5194/acp-9-2695-2009 fatcat:p3wqd3szonbglovz7cnmoyzu4e

The impact of weather and atmospheric circulation on O3 and PM10 levels at a mid-latitude site

M. Demuzere, R. M. Trigo, J. Vila-Guerau de Arellano, N. P. M. van Lipzig
2008 Atmospheric Chemistry and Physics Discussions  
The relations between meteorological actors and air quality are studied on a local scale based on observations from four rural sites and are determined by a comprehensive correlation analysis and a multiple  ...  Furthermore, the objective Lamb Weather Type approach is used to assess the influence of the large-scale circulation on air quality.  ...  This research is funded by a PhD grant of the Institute for the Promotion of Innovation through Science and Technology Flanders.  ... 
doi:10.5194/acpd-8-21037-2008 fatcat:jyq6o6fid5harmkaer6ieux5n4

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander, Md. Samiul Haque Sunny
2019 IEEE Access  
This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart  ...  In the complex connected system of SG, cyber security becomes a critical issue; IoT devices and their data turning into major targets of attacks.  ...  A survey conducted by McAfee in 2007 documented large-scale DDoS attacks.  ... 
doi:10.1109/access.2019.2894819 fatcat:2525icn33resjpigdjk45svyq4

Multi-period portfolio selection with drawdown control

Peter Nystrup, Stephen Boyd, Erik Lindström, Henrik Madsen
2018 Annals of Operations Research  
We use our model with a variety of inflation measures and survey-based forecasts for several countries.  ...  A knowledge of the level of trend inflation is key to many current policy decisions and several methods of estimating trend inflation exist.  ...  We study various business areas with both short and long product life cycles and present numerical results to prove effectiveness of the proposed methods.  ... 
doi:10.1007/s10479-018-2947-3 fatcat:haworusnrfcqvlmkmbidfwb5wu

Final Program The 2013 International Neuropsychological Society Mid–Year Meeting July 10–13, 2013 Amsterdam, The Netherlands

2013 Journal of the International Neuropsychological Society  
Acknowledgements This study was funded in part by the Lundbeck Geriatric Medicine Grant Belgium.  ...  Participants and Methods: Based on a semi-structured interview for caregivers, we developed a five-point scale questionnaire.  ...  Therefore, quality of language comprehension depends largely upon monitoring.  ... 
doi:10.1017/s1355617713001033 fatcat:55ykcdrjcrffplpcaebwtrcew4

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization [article]

Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu
2020 arXiv   pre-print
In this work, we propose pre-training large Transformer-based encoder-decoder models on massive text corpora with a new self-supervised objective.  ...  Furthermore there is a lack of systematic evaluation across diverse domains.  ...  , and Samy Bengio for reviewing the manuscript.  ... 
arXiv:1912.08777v3 fatcat:sniaydtda5a35pgyugitvcjtpy

Abstracts Presented at the Thirtieth Annual International Neuropsychological Society Conference, February 13???16, 2002 Toronto, Canada

2002 Journal of the International Neuropsychological Society  
The strength and nature of this relationship differs according to whether functional ability is measured using performance-based scales or self-report scales of ability.  ...  scale of functional ability, the Direct Assessment of Functional Status (DAFS; Lowenstein 1992), and a self-report measure of function, the Older Americans Resources and Service Scale (OARS; Duke University  ...  The task-monitoring portion of the BRIEF Monitor Scale assesses whether a child evaluates his own task performance to ensure accuracy or appropriate attainment of a goal.  ... 
doi:10.1017/s1355617702822019 fatcat:3oxum6t47jhxdkyttu2aqc2mwi

The Alice Experiment at the CERN LHC [chapter]

P. Kuijer
2003 Proceedings of the 31st International Conference on High Energy Physics Ichep 2002  
Acharya et al -New long-lived particle searches in heavyion collisions at the LHC Marco Drewes et al ABSTRACT: ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN  ...  It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions.  ...  This requires a large-scale resource deployment that is still affordable within the budgetary and infra-structural constraints.  ... 
doi:10.1016/b978-0-444-51343-4.50019-3 fatcat:m63gp5a6gnef7iql3obugr54ae
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