Performance Analysis of MCOD Algorithm With Varying Parameters

2022 ◽  
pp. 195-205
Author(s):  
Sandhya Madhuri ◽  
Usha M. Rani
Keyword(s):  
Performance Analysis ◽  
Outlier Detection ◽  
Condition Monitoring ◽  
Data Streams ◽  
Credit Card ◽  
Daily Life ◽  
Analysis Tool ◽  
Online Analysis ◽  
Varying Parameters ◽  
The Past

Outlier detection has become one of the prominent and most needed technologies these days. Outliers can be anything in our daily life like credit card fraud, intrusion in a network, aberrant condition detection in condition monitoring data. There are numerous methodologies to detect outliers. In the past few years many tools have come up in the outlier detection in data streams. In this chapter, the authors discuss the tool MOA (massive online analysis) to detect anomalies and the best performing algorithm amongst the prescribed algorithms of MOA. The authors elaborately discuss that MCOD (micro-cluster-based algorithm) is one of the best in the prescribed algorithms of the MOA (massive online analysis) tool which outperforms all other algorithms. In this paper, the authors will deeply discuss the performance of MCOD algorithm. The authors will also discuss which factor of MCOD separates its performance from others and also what the different parameters that influence the performance of MCOD are.

scholarly journals INCREMENTAL PRINCIPAL COMPONENT ANALYSIS BASED OUTLIER DETECTION METHODS FOR SPATIOTEMPORAL DATA STREAMS

2015 ◽  
Vol II-4/W2 ◽  
pp. 67-71 ◽  
Author(s):  
A. Bhushan ◽  
M. H. Sharker ◽  
H. A. Karimi
Keyword(s):  
Principal Component Analysis ◽  
Real Time ◽  
Outlier Detection ◽  
Data Streams ◽  
Credit Card ◽  
Principal Component ◽  
Component Analysis ◽  
Spatiotemporal Data ◽  
Sensor Data ◽  
Detection Methods

In this paper, we address outliers in spatiotemporal data streams obtained from sensors placed across geographically distributed locations. Outliers may appear in such sensor data due to various reasons such as instrumental error and environmental change. Real-time detection of these outliers is essential to prevent propagation of errors in subsequent analyses and results. Incremental Principal Component Analysis (IPCA) is one possible approach for detecting outliers in such type of spatiotemporal data streams. IPCA has been widely used in many real-time applications such as credit card fraud detection, pattern recognition, and image analysis. However, the suitability of applying IPCA for outlier detection in spatiotemporal data streams is unknown and needs to be investigated. To fill this research gap, this paper contributes by presenting two new IPCA-based outlier detection methods and performing a comparative analysis with the existing IPCA-based outlier detection methods to assess their suitability for spatiotemporal sensor data streams.

TARP DVIEJŲ KOLONŲ: XVIII A. PABAIGOS – XIX A. PRADŽIOS VILNIAUS MASONŲ KASDIENYBĖ SIMBOLIKOJE

2018 ◽  
pp. 144-163
Author(s):  
Daiva Milinkevičiūtė
Keyword(s):  
Daily Life ◽  
The Other ◽  
Daily Routine ◽  
The Past ◽  
Secular World ◽  
National Characteristics ◽  
Conservative Christian ◽  
The Subject ◽  
The One ◽  
Craft Guilds

The Age of Enlightenment is defined as the period when the universal ideas of progress, deism, humanism, naturalism and others were materialized and became a golden age for freemasons. It is wrong to assume that old and conservative Christian ideas were rejected. Conversely, freemasons put them into new general shapes and expressed them with the help of symbols in their daily routine. Symbols of freemasons had close ties with the past and gave them, on the one hand, a visible instrument, such as rituals and ideas to sense the transcendental, and on the other, intense gnostic aspirations. Freemasons put in a great amount of effort to improve themselves and to create their identity with the help of myths and symbols. It traces its origins to the biblical builders of King Solomon’s Temple, the posterity of the Templar Knights, and associations of the medieval craft guilds, which were also symbolical and became their link not only to each other but also to the secular world. In this work we analysed codified masonic symbols used in their rituals. The subject of our research is the universal Masonic idea and its aspects through the symbols in the daily life of the freemasons in Vilnius. Thanks to freemasons’ signets, we could find continuity, reception, and transformation of universal masonic ideas in the Lithuanian freemasonry and national characteristics of lodges. Taking everything into account, our article shows how the universal idea of freemasonry spread among Lithuanian freemasonry, and which forms and meanings it incorporated in its symbols. The objective of this research is to find a universal Masonic idea throughout their visual and oral symbols and see its impact on the daily life of the masons in Vilnius. Keywords: Freemasonry, Bible, lodge, symbols, rituals, freemasons’ signets.

scholarly journals Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4710
Author(s):  
Mariusz Kostrzewski ◽  
Rafał Melnik
Keyword(s):  
Performance Analysis ◽  
Literature Review ◽  
Condition Monitoring ◽  
Systematic Literature Review ◽  
Academic Research ◽  
Rail Transport ◽  
Transport Systems ◽  
Future Research ◽  
Area Of Interest ◽  
Rail Systems

Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.

Experiences of Knowledge Transfer on Industrial Heritage Using Games, Storytelling, and New Technologies

2021 ◽  
Vol 14 (2) ◽  
pp. 1-26
Author(s):  
Gonzalo Andrés López ◽  
David Checa Cruz
Keyword(s):  
New Technologies ◽  
Daily Life ◽  
3D Modelling ◽  
Historical Evolution ◽  
Educational Tool ◽  
Economic Activities ◽  
Industrial Heritage ◽  
Urban Economic ◽  
The Past ◽  
A Value

The industry has a relevant spatial and socioeconomic importance in most of the Spanish cities and nowadays is one of the main urban economic activities. However, in many situations, and despite recent advances in the past two decades, industrial heritage is a value that is still not sufficiently widespread in society. The factories, their activity, and their historical evolution are often disconnected and isolated from the daily life of the cities, being quite an unknown aspect for most of the citizens. This contribution presents the result of various experiences of knowledge transmission on the heritage value of industry, through the use of games and storytelling technique as an educational tool and the combination of different technologies (3D modelling, videomapping, virtual reality) as useful tools to spread the explanation of this phenomenon.

SCALEA: a performance analysis tool for parallel programs

2003 ◽  
Vol 15 (11-12) ◽  
pp. 1001-1025 ◽  
Author(s):  
Hong-Linh Truong ◽  
Thomas Fahringer
Keyword(s):  
Performance Analysis ◽  
Parallel Programs ◽  
Analysis Tool ◽  
A Performance

Continuous outlier detection in data streams

2013 ◽  
Author(s):  
Dimitrios Georgiadis ◽  
Maria Kontaki ◽  
Anastasios Gounaris ◽  
Apostolos N. Papadopoulos ◽  
Kostas Tsichlas ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Data Streams
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