scholarly journals Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level

1997 ◽  
Vol 5 (1) ◽  
pp. 71-86 ◽  
Author(s):  
W. Willinger ◽  
M.S. Taqqu ◽  
R. Sherman ◽  
D.V. Wilson
Keyword(s):  
Statistical Analysis ◽  
High Variability ◽  
Self Similarity ◽  
Source Level

Intermittent frontogenesis in the Alboran Sea

2021 ◽  
Author(s):  
Esther Capó ◽  
James C. McWilliams ◽  
Evan Mason ◽  
Alejandro Orfila
Keyword(s):  
Statistical Analysis ◽  
Vertical Velocity ◽  
Cold Season ◽  
Velocity Fields ◽  
High Variability ◽  
Secondary Circulation ◽  
Dynamical Analysis ◽  
Horizontal Gradients ◽  
Strong Surface ◽  
Northern Current

<p>We present a phenomenological description and dynamical analysis of the Alboran fronts using a realistic simulation at submesoscale resolution. The study is focused on east Alboran fronts emerging within relatively strong flows that separate from the Spanish coast into the basin interior. The statistical analysis of our solution shows that strained-induced frontogenesis is a recurrent submesoscale mechanism associated with these fronts, and the process is assessed in terms of the advective Lagrangian frontogenetic tendencies associated with buoyancy and velocity horizontal gradients. Intermittency in their strength and patterns is indicative of high variability in the occurrence of active frontogenesis in association with the secondary circulation across the frontal gradient. As a result, we find many episodes with strong surface fronts that do not have much associated downwelling. Frontogenesis and the associated secondary circulation are further explored during two particular frontal events, both showing strong downwelling of O(1) cm s−1 extending down into the pycnocline. A frontogenetic contribution of turbulent vertical momentum mixing to the secondary circulation is identified in the easternmost region during the cold season, when the dynamics are strongly influenced by the intrusion of the salty Northern Current. The background vertical velocity fields observed during the analyzed events indicate other currents in the submesoscale range, including tidal and topographic Internal waves.</p>

scholarly journals Microarray-Based Detection and Typing of the Rhizobium Nodulation Gene nodC: Potential of DNA Arrays To Diagnose Biological Functions of Interest

2005 ◽  
Vol 71 (12) ◽  
pp. 8042-8048 ◽  
Author(s):  
Cyril Bontemps ◽  
Geoffroy Golfier ◽  
Carine Gris-Liebe ◽  
Sébastien Carrere ◽  
Luc Talini ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Genomic Dna ◽  
Nucleotide Diversity ◽  
Model System ◽  
High Variability ◽  
Dna Arrays ◽  
Challenging Problem ◽  
Biological Functions ◽  
Glass Slides ◽  
Rhizobium Nodulation

ABSTRACT Environmental screening of bacteria for the presence of genes of interest is a challenging problem, due to the high variability of the nucleotide sequence of a given gene between species. Here, we tackle this general issue using a particularly well-suited model system that consists of the nodulation gene nodC, which is shared by phylogenetically distant rhizobia. 41mer and 50mer oligonucleotides featuring the nucleotide diversity of two highly conserved regions of the NodC protein were spotted on glass slides and cross hybridized with the radioactive-labeled target genomic DNA under low-stringency conditions. Statistical analysis of the hybridization patterns allowed the detection of known, as well as new, nodC sequences and classified the rhizobial strains accordingly. The microarray was successfully used to type the nodC gene directly from legume nodules, thus eliminating the need of cultivation of the endosymbiont. This approach could be extended to a panel of diagnostic genes and constitute a powerful tool for studying the distribution of genes of interest in the environment, as well as for bacteria identification.

Self-similarity through high-variability

1995 ◽  
Vol 25 (4) ◽  
pp. 100-113 ◽  
Author(s):  
Walter Willinger ◽  
Murad S. Taqqu ◽  
Robert Sherman ◽  
Daniel V. Wilson
Keyword(s):  
High Variability ◽  
Self Similarity

Intermittent Frontogenesis in the Alboran Sea

2021 ◽  
Vol 51 (5) ◽  
pp. 1417-1439
Author(s):  
Esther Capó ◽  
James C. McWilliams ◽  
Evan Mason ◽  
Alejandro Orfila
Keyword(s):  
Statistical Analysis ◽  
Vertical Velocity ◽  
Cold Season ◽  
Velocity Fields ◽  
High Variability ◽  
Secondary Circulation ◽  
Dynamical Analysis ◽  
Horizontal Gradients ◽  
Strong Surface ◽  
Northern Current

AbstractWe present a phenomenological description and dynamical analysis of the Alboran fronts using a realistic simulation at submesoscale resolution. The study is focused on east Alboran fronts emerging within relatively strong flows that separate from the Spanish coast into the basin interior. Despite modest lateral shifting associated with the position of the Alboran anticyclonic gyres and variations in intensity, these fronts present a similar structure and dynamical configuration as the climatological Almeria–Oran front. The statistical analysis of our solution shows that strained-induced frontogenesis is a recurrent submesoscale mechanism associated with these fronts, and the process is assessed in terms of the advective Lagrangian frontogenetic tendencies associated with buoyancy and velocity horizontal gradients. Intermittency in their strength and patterns is indicative of high variability in the occurrence of active frontogenesis in association with the secondary (overturning) circulation across the frontal gradient. As a result, we find many episodes with strong surface fronts that do not have much associated downwelling. Frontogenesis and the associated secondary circulation are further explored during two particular frontal events, both showing strong downwelling of (1) cm s−1 extending down into the pycnocline. A frontogenetic contribution of turbulent vertical momentum mixing to the secondary circulation is identified in the easternmost region during the cold season, when the dynamics are strongly influenced by the intrusion of the salty Northern Current. The background vertical velocity fields observed during the analyzed events indicate other currents in the submesoscale range, including tidal and topographic internal waves.

scholarly journals Consumer grade EEG devices: are they usable for control tasks?

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1746 ◽  
Author(s):  
Rytis Maskeliunas ◽  
Robertas Damasevicius ◽  
Ignas Martisius ◽  
Mindaugas Vasiljevas
Keyword(s):  
Statistical Analysis ◽  
Experimental Evaluation ◽  
Recognition Accuracy ◽  
Low Cost ◽  
High Variability ◽  
Significant Problem

We present the evaluation of two well-known, low-cost consumer-grade EEG devices: the Emotiv EPOC and the Neurosky MindWave. Problems with using the consumer-grade EEG devices (BCI illiteracy, poor technical characteristics, and adverse EEG artefacts) are discussed. The experimental evaluation of the devices, performed with 10 subjects asked to perform concentration/relaxation and blinking recognition tasks, is given. The results of statistical analysis show that both devices exhibit high variability and non-normality of attention and meditation data, which makes each of them difficult to use as an input to control tasks. BCI illiteracy may be a significant problem, as well as setting up of the proper environment of the experiment. The results of blinking recognition show that using the Neurosky device means recognition accuracy is less than 50%, while the Emotiv device has achieved a recognition accuracy of more than 75%; for tasks that require concentration and relaxation of subjects, the Emotiv EPOC device has performed better (as measured by the recognition accuracy) by ∼9%. Therefore, the Emotiv EPOC device may be more suitable for control tasks using the attention/meditation level or eye blinking than the Neurosky MindWave device.

scholarly journals On network traffic statistical analysis

2020 ◽  
Vol 48 ◽  
Author(s):  
Liudas Kaklauskas ◽  
Leonidas Sakalauslas
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Statistical Method ◽  
Network Traffic ◽  
Network Node ◽  
Hurst Index ◽  
Self Similarity ◽  
Present Measurement ◽  
Traffic Characteristics ◽  
Measurement Results

The present article deals with statistical university network traffic, by applying the methods of self-similarity and chaos analysis. The object of measurement is Šiauliai University LitNet network node maintaining institutions of education of the northern Lithuania region. Time series of network traffic characteristics are formed by registering amount of information packets in a node at different regimes of network traffic and different values of discretion of registered information are present. Measurement results are processed by calculating Hurst index and estimating reliability of analysis results by applying the statistical method. Investigation of the network traffic allowed us drawing conclusions that time series bear features of self-similarity when aggregated time series bear features of slowly decreasing dependence.

scholarly journals STATISTICAL ANALYSIS OF REAL TRAFFIC OF MACHINE-TO-MACHINE COMMUNICATION (M2M)

2021 ◽  
Vol 2 (446) ◽  
pp. 107-113
Author(s):  
А. D. Mukhamejanova ◽  
K. Kh. Tumanbayeva ◽  
E. M. Lechshinskaya ◽  
B. Ongar
Keyword(s):  
Statistical Analysis ◽  
Mobile Communications ◽  
Mobile Network ◽  
Research Problem ◽  
Self Similarity ◽  
Machine To Machine ◽  
Traffic Impact ◽  
Short Term Forecasting ◽  
Network Server ◽  
Real Traffic

The development of digital technology has spawned the concept of the Internet of Things (IoT). The concept basis is the machine-to-machine interaction (M2M) technology, which allows devices to exchange information. The most effective data transmission medium for M2M devices is mobile communications. Rapid growth of machine-to-machine М2М traffic in mobile communication network defines the actuality of the research problem, its features and characteristics. Research outcomes are indispensable at the network modeling, planning, analyzing the М2М traffic impact at quality of service (QoS) of mobile network communication. The article analyzes the real traffic in the LoraWan network. Aggregated traffic coming to the network server from all devices is considered. To model the М2М batch traffic, apart from specifying the statistic characteristics it is necessary to assess its self-similarity. In order to define the traffic self-similarity there has been computed Hurst parameter. On the basis of STATISTICA programs batch we have conducted statistical analysis and short-term forecasting of real М2М traffic by method of exponential smoothing.

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