Statistical Analysis of 100 Gbps per Wavelength SWDM VCSEL-MMF Data Center Links on a Large Set of OM3 and OM4 Fibers

2021 ◽  
pp. 1-1
Author(s):  
Pablo Torres-Ferrera ◽  
Giuseppe Rizzelli Martella ◽  
Antonino Nespola ◽  
Jose Castro ◽  
Bulent Kose ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Center ◽  
Large Set

Ukuran Gejala Pusat Data Belum Dikelompokan(Kebakaran di Provinsi-Provinsi Tertentu di Indonesia Tahun 2015-2016)

2020 ◽  
Author(s):  
Riska Nurhapsari Santoso ◽  
Yudis Satrio Utomo ◽  
Yuliani Luturmasse
Keyword(s):  
Statistical Analysis ◽  
Frequency Distribution ◽  
Data Center ◽  
Grouped Data ◽  
Sample Data ◽  
Calculated Average

Abstract - Statistics is a framework of theories and methods that have been developed to collect, analyze, and write sample data in order to obtain useful conclusions. Statistics is the science of ways of collecting, classifying, analyzing, and searching for information related to the collection of data that investigations and conclusions based on evidence in the form of figures.Based on the results of the study can be concluded as follows: the size of the symptoms of the data center has not been grouped is the data compiled into the frequency distribution so that it does not have class intervals and midpoints of the class. Symptom Size Un-Grouped Data Center The size of the data center included in the statistical analysis is the calculated average (mean), median, mode, and fractil (quartile, decile, percentile)

scholarly journals An Efficient Multi Level Intrusion Detection System for Mobile Ad-Hoc Network Using Clustering Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 1977-1985 ◽  
Keyword(s):  
Knowledge Base ◽  
Data Center ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
High Reliability ◽  
Large Set ◽  
Clustering Technique ◽  
Multi Level ◽  
Mobile Ad Hoc

Mobile Ad-Hoc Network (MANET) is constructed using autonomous self-disciplinary nodes that communicate and exchange information through wireless medium. VM based IDS identify the attacks in the Virtual Machine Level with isolated properties of data center at the cloud. This is efficient only at the data center level i.e. infrastructure level. These problems are addressed by the proposed multi – level IDS for MANET using clustering technique. It identifies the black-hole attack from the external level to internal level. The pattern of the internal as well as external attacks are extracted and stored into the knowledge base for further analysis. The nodes are clustered and select an arbitrary node as a cluster head. The topology also monitored for maintaining consistency over the detection. The MANET packets are compared with the knowledge base to detect the malicious packets. The malicious node can also be eliminated from the network. Various modern IDS tools are analyzed with large set of attacks in multiple levels in order to maintain high reliability. Different algorithms are compared with proposed IDS in performance evaluation metrics such as IDS rate, Positive Rate and alarm rate and so on. The proposed IDS provides high accuracy when compared to existing algorithms in all levels

scholarly journals PATO: Pangenome Analysis Toolkit

2021 ◽  
Author(s):  
Miguel D. Fernández-de-Bobadilla ◽  
Alba Talavera-Rodríguez ◽  
Lucía Chacón ◽  
Fernando Baquero ◽  
Teresa M. Coque ◽  
...  
Keyword(s):  
Population Structure ◽  
Statistical Analysis ◽  
Core Genome ◽  
State Of The Art ◽  
Source Code ◽  
Supplementary Information ◽  
Complete Analysis ◽  
Large Set ◽  
Supplementary Data ◽  
Desktop Computer

AbstractMotivationComparative genomics is a growing field but one that will be eventually overtaken by sample size studies and the increase of available genomes in public databases. We present the Pangenome Analysis Toolkit (PATO) designed to simultaneously analyze thousands of genomes using a desktop computer. The tool performs common tasks of pangenome analysis such as core-genome definition and accessory genome properties and includes new features that help characterize population structure, annotate pathogenic features and create gene sharedness networks. PATO has been developed in R to integrate with the large set of tools available for genetic, phylogenetic and statistical analysis in this environment.ResultsPATO can perform the most demanding bioinformatic analyses in minutes with an accuracy comparable to state-of-the-art software but 20–30x times faster. PATO also integrates all the necessary functions for the complete analysis of the most common objectives in microbiology studies. Lastly, PATO includes the necessary tools for visualizing the results and can be integrated with other analytical packages available in R.AvailabilityThe source code for PATO is freely available at https://github.com/irycisBioinfo/PATO under the GPLv3 [email protected] informationSupplementary data are available at Bioinformatics online

The observation of a universal shape regularity in earthquake frequency-magnitude distributions

1980 ◽  
Vol 70 (1) ◽  
pp. 349-362
Author(s):  
E. D. Bloom ◽  
R. C. Erdmann
Keyword(s):  
Statistical Analysis ◽  
Data Center ◽  
Data Bases ◽  
World Data ◽  
The Earth ◽  
Earthquake Frequency ◽  
Geological Diversity ◽  
Estimated Error ◽  
Frequency Magnitude ◽  
Terrestrial Data

abstract On performing a statistical analysis of the data available from both the National Geophysical and Solar Terrestrial Data Center (NGSDC) and other, smaller data bases, a convincing shape regularity was observed in the derived earthquake frequency-magnitude (f-M) distributions. The f-M distributions were obtained from sets of events originating within widely separated regions on the Earth. The regions have geological diversity and areas greater than 6 × 105 km2. To within estimated error, the shape of total world data agrees with similar plots of data subsets taken from these eight separate regions of the Earth.

scholarly journals Statistical Analysis of the Data Available for Be Stars

1982 ◽  
Vol 98 ◽  
pp. 27-31 ◽  
Author(s):  
Daniel Egret
Keyword(s):  
Statistical Analysis ◽  
Data Center ◽  
Spectroscopic Data ◽  
Statistical Approach ◽  
Be Stars ◽  
Be Star ◽  
General Statistical ◽  
Spectral Group

A comprehensive catalogue of more than 1100 Be stars with known MK classification has been prepared at the Strasbourg Stellar Data Center, and is described in an other session of this Symposium (Jaschek and Egret, 1982). The compilation of photometric and spectroscopic data available for these stars has made possible a general statistical approach of the Be star spectral group.

scholarly journals Assessing the Impacts of Proximity Sounding Criteria on the Climatology of Significant Tornado Environments

2010 ◽  
Vol 25 (3) ◽  
pp. 921-930 ◽  
Author(s):  
Corey K. Potvin ◽  
Kimberly L. Elmore ◽  
Steven J. Weiss
Keyword(s):  
Statistical Analysis ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Severe Weather ◽  
Large Set ◽  
Mesoscale Variability ◽  
Feedback Process ◽  
Trade Offs ◽  
Wide Range ◽  
Parameter Distributions

Abstract Proximity sounding studies typically seek to optimize several trade-offs that involve somewhat arbitrary definitions of how to define a “proximity sounding.” More restrictive proximity criteria, which presumably produce results that are more characteristic of the near-storm environment, typically result in smaller sample sizes that can reduce the statistical significance of the results. Conversely, the use of broad proximity criteria will typically increase the sample size and the apparent robustness of the statistical analysis, but the sounding data may not necessarily be representative of near-storm environments, given the presence of mesoscale variability in the atmosphere. Previous investigations have used a wide range of spatial and temporal proximity criteria to analyze severe storm environments. However, the sensitivity of storm environment climatologies to the proximity definition has not yet been rigorously examined. In this study, a very large set (∼1200) of proximity soundings associated with significant tornado reports is used to generate distributions of several parameters typically used to characterize severe weather environments. Statistical tests are used to assess the sensitivity of the parameter distributions to the proximity criteria. The results indicate that while soundings collected too far in space and time from significant tornadoes tend to be more representative of the larger-scale environment than of the storm environment, soundings collected too close to the tornado also tend to be less representative due to the convective feedback process. The storm environment itself is thus optimally sampled at an intermediate spatiotemporal range referred to here as the Goldilocks zone. Implications of these results for future proximity sounding studies are discussed.

scholarly journals EVALUATION OF CLINICAL AND SOCIOLOGICAL RESEARCH METHODS IN EMPLOYEES OF A CLOSED INDUSTRIAL ENTERPRISE USING A COMPLEX OF STATISTICAL ANALYSIS

2020 ◽  
Vol 16 (2) ◽  
pp. 151-156
Author(s):  
Aleksey Shulaev ◽  
Rinat Saleev ◽  
Veniamin Berezin ◽  
Oskar Ismagilov ◽  
Elena Statseva ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Dental Care ◽  
Linear Regression Analysis ◽  
Computer Software ◽  
Specific Factor ◽  
Sociological Research ◽  
Large Set ◽  
Statistical Parameters ◽  
Periodontal Tissues ◽  
Industrial Organizations

Thing. The statistical parameters used in the study and determination of indicators obtained during the dental study of workers of two industrial organizations are considered. The goal is to evaluate the methods of statistical analysis used in the interpretation of indicators obtained during a dental study of employees of two industrial organizations. Methodology. A comprehensive dental examination and a sociological survey of 370 employees of the SEZ “Alabuga” and 297 employees of JSC “Chemical Plant named after L.Ya. Karpova "(Mendeleevsk). Statistical data collection, processing and analysis of the results were recorded on a personal computer in the spreadsheet environment of Microsoft Office Excel 2016. Statistical linear regression analysis of the data and interpretation of the results were performed using IBM computer software and SPSS software package (PASW Statistics 20). Results. The materials presented in the article are based on the analysis and study of various methods of parametric and nonparametric statistical analysis. Moreover, the use of the discriminant analysis module of the STATISTICA system contains a large set of manipulations to perform multiple functional analysis, including the module of factor and cluster analysis. To analyze qualitative data, change frequencies, determine the significance of differences of one attribute from another, the chi-square criterion was used. Comparison of empirical (actual) and expected (theoretical) results was carried out using the agreement criterion (Pearson), the absence or presence of statistically significant differences ― using the value of the exact Fisher test, the presence or absence of a specific factor in a particular group ― using a statistical indicator of the odds ratio and confidence interval. Conclusions. Thus, the data obtained make it possible to assess the degree of damage to hard tissues of teeth and periodontal tissues, and the effectiveness of dental care. The use of various statistical methods in the analysis of dental research data contributes to the modernization of the organization of dental care.

scholarly journals Surface wave magnitudes of some New Zealand earthquakes 1901-1988

1990 ◽  
Vol 23 (3) ◽  
pp. 198-210 ◽  
Author(s):  
D. J. Dowrick ◽  
E. G. C. Smith
Keyword(s):  
New Zealand ◽  
Statistical Analysis ◽  
Surface Wave ◽  
Analysis Of Variance ◽  
Standard Errors ◽  
Large Set ◽  
Variance Method ◽  
Selection Of

This paper gives a list of magnitudes on the surface wave scale for a selection of larger New Zealand earthquakes that occurred in the period 1901-1988. Most of the events considered were of shallow origin h < 45 km, and the magnitudes ranged from about 5 to 7.8. The Analysis of Variance method of statistical analysis was used to correct the large set of station observations so as to provide consistent mean magnitudes for each event. The resulting station terms and standard errors are given. Comparisons made between the results of this study and the relatively few previous Ms determinations show little change except for one or two important events. In particular the magnitude of the 1968 Inangahua earthquake was found to be 7.4 (± 0.07), which is somewhat greater than previous estimates.

scholarly journals Space weather and space anomalies

2005 ◽  
Vol 23 (9) ◽  
pp. 3009-3018 ◽  
Author(s):  
L. I. Dorman ◽  
N. Iucci ◽  
A. V. Belov ◽  
A. E. Levitin ◽  
E. A. Eroshenko ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Space Weather ◽  
Weather Conditions ◽  
Satellite Orbits ◽  
Large Set ◽  
Large Database ◽  
Time Data ◽  
Weather Parameters ◽  
First Time ◽  
Geomagnetic Perturbations

Abstract. A large database of anomalies, registered by 220 satellites in different orbits over the period 1971-1994 has been compiled. For the first time, data from 49 Russian Kosmos satellites have been included in a statistical analysis. The database also contains a large set of daily and hourly space weather parameters. A series of statistical analyses made it possible to quantify, for different satellite orbits, space weather conditions on the days characterized by anomaly occurrences. In particular, very intense fluxes (>1000 pfu at energy >10 MeV) of solar protons are linked to anomalies registered by satellites in high-altitude (>15000 km), near-polar (inclination >55°) orbits typical for navigation satellites, such as those used in the GPS network, NAVSTAR, etc. (the rate of anomalies increases by a factor ~20), and to a much smaller extent to anomalies in geostationary orbits, (they increase by a factor ~4). Direct and indirect connections between anomaly occurrence and geomagnetic perturbations are also discussed.

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