Robust online detection of pipeline corrosion from range data

Stock markets are always taken as the barometer of the economy. The price movement of their indices reflects every ups and downs of the economy. Although seem to be random, these price movements do follow a certain track which can be identified using appropriate tool over long range data. One such method is of Technical Analysis wherein future price trends are forecasted using past data. Momentum Oscillators are the important tools of technical analysis. The current paper aims to identify the previous price movements of sensex by using Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) tools and also aims to check whether these tools are appropriate in forecasting the price trends or not.

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A Study on Online Detection of micro-blog Rumors Based on Naive Bayes Algorithm

2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) ◽

10.1109/ipec49694.2020.9115171 ◽

2020 ◽

Author(s):

Gan Wenfeng ◽

Zhang Hong ◽

Cheng Ruoyi

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Online Detection ◽

Bayes Algorithm

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Lightweight 3D Modeling of Urban Buildings from Range Data

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission ◽

10.1109/3dimpvt.2011.23 ◽

2011 ◽

Cited By ~ 4

Author(s):

Weihong Li ◽

George Wolberg ◽

Siavash Zokai

Keyword(s):

3D Modeling ◽

Range Data ◽

Urban Buildings

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A new deep domain adaptation method with joint adversarial training for online detection of bearing early fault

ISA Transactions ◽

10.1016/j.isatra.2021.04.026 ◽

2021 ◽

Author(s):

Wentao Mao ◽

Ling Ding ◽

Yamin Liu ◽

Sajad Saraygord Afshari ◽

Xihui Liang

Keyword(s):

Domain Adaptation ◽

Online Detection ◽

Adversarial Training ◽

Adaptation Method

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A Review of Monitoring Technologies for Solar PV Systems Using Data Processing Modules and Transmission Protocols: Progress, Challenges and Prospects

Sustainability ◽

10.3390/su13158120 ◽

2021 ◽

Vol 13 (15) ◽

pp. 8120

Author(s):

Shaheer Ansari ◽

Afida Ayob ◽

Molla S. Hossain Lipu ◽

Mohamad Hanif Md Saad ◽

Aini Hussain

Keyword(s):

Data Processing ◽

Data Transmission ◽

Performance Enhancement ◽

Critical Discussion ◽

Signal Interference ◽

Future Research ◽

Transmission Protocol ◽

Range Data ◽

Solar Pv ◽

Monitoring Technologies

Solar photovoltaic (PV) is one of the prominent sustainable energy sources which shares a greater percentage of the energy generated from renewable resources. As the need for solar energy has risen tremendously in the last few decades, monitoring technologies have received considerable attention in relation to performance enhancement. Recently, the solar PV monitoring system has been integrated with a wireless platform that comprises data acquisition from various sensors and nodes through wireless data transmission. However, several issues could affect the performance of solar PV monitoring, such as large data management, signal interference, long-range data transmission, and security. Therefore, this paper comprehensively reviews the progress of several solar PV-based monitoring technologies focusing on various data processing modules and data transmission protocols. Each module and transmission protocol-based monitoring technology is investigated with regard to type, design, implementations, specifications, and limitations. The critical discussion and analysis are carried out with respect to configurations, parameters monitored, software, platform, achievements, and suggestions. Moreover, various key issues and challenges are explored to identify the existing research gaps. Finally, this review delivers selective proposals for future research works. All the highlighted insights of this review will hopefully lead to increased efforts toward the enhancement of the monitoring technologies in future sustainable solar PV applications.

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Viral Host Range database, an online tool for recording, analyzing and disseminating virus-host interactions

Bioinformatics ◽

10.1093/bioinformatics/btab070 ◽

2021 ◽

Author(s):

Quentin Lamy-Besnier ◽

Bryan Brancotte ◽

Hervé Ménager ◽

Laurent Debarbieux

Keyword(s):

Host Range ◽

Source Code ◽

Range Data ◽

Web Based ◽

Online Tool ◽

Experimental Host ◽

Living World ◽

Host Interactions ◽

Experimental Host Range ◽

Viral Host Range

Abstract Motivation Viruses are ubiquitous in the living world, and their ability to infect more than one host defines their host range. However, information about which virus infects which host, and about which host is infected by which virus, is not readily available. Results We developed a web-based tool called the Viral Host Range database to record, analyze and disseminate experimental host range data for viruses infecting archaea, bacteria and eukaryotes. Availability The ViralHostRangeDB application is available from https://viralhostrangedb.pasteur.cloud. Its source code is freely available from the Gitlab hub of Institut Pasteur (https://gitlab.pasteur.fr/hub/viralhostrangedb).

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