Risk Sources Identification in Virtual Organisation

2010 ◽  
pp. 265-277 ◽  
Author(s):  
Mohammad Alawamleh ◽  
Keith Popplewell
Keyword(s):  
Sources Identification ◽  
Virtual Organisation ◽  
Risk Sources

scholarly journals Innovative techniques for the improvement of industrial noise sources identification by beamforming

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 129-137
Author(s):  
Giorgio Baldinelli ◽  
Francesco Bianchi ◽  
Danilo Costarelli ◽  
Francesco D’Alessandro ◽  
Flavio Scrucca ◽  
...  
Keyword(s):  
Image Processing ◽  
Noise Source ◽  
Focal Length ◽  
Noise Sources ◽  
Geometric Information ◽  
Industrial Noise ◽  
Sources Identification ◽  
Innovative Technique ◽  
Innovative Techniques

Abstract An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could be present in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.

The Environment Risk Analysis and Prevention Countermeasures of Potable Water Sources in Wuhan Section of Yangtze River

2013 ◽  
Vol 864-867 ◽  
pp. 844-848
Author(s):  
Kai Xia ◽  
Hao Bo Hou ◽  
Si Xuan Wang ◽  
Yi Lv ◽  
Zhe Hao Zhou ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Yangtze River ◽  
Potable Water ◽  
Industrial Structure ◽  
Water Sources ◽  
Water Safety ◽  
Industrial Enterprises ◽  
Important Measure ◽  
Risk Sources ◽  
The Government

Strengthening the protection of potable water sources is the important measure to ensure potable water safety for people. Based on the investigation of potable water sources in Yangtze River Wuhan section, this paper analyses the potential fixed risk sources, flowing risk sources and other risk sources. To ensure water safety for people, the government should readjust the industrial structure, supervise industrial enterprises, improve the emergency system, coordinate departments linkage, and accelerate potable water sources protection project.

Trace endotoxin in reclaimed water is only one of the risk sources in subchronic inhalation exposure

2021 ◽  
pp. 117479
Author(s):  
Gang Liu ◽  
Yun Lu ◽  
Liangliang Shi ◽  
Jiayang Kong ◽  
Hongying Hu ◽  
...  
Keyword(s):  
Inhalation Exposure ◽  
Reclaimed Water ◽  
Risk Sources

Hourly elemental composition and sources identification of fine and coarse PM10 particulate matter in four Italian towns

2003 ◽  
Vol 34 (2) ◽  
pp. 243-259 ◽  
Author(s):  
A D'Alessandro ◽  
F Lucarelli ◽  
P.A Mandò ◽  
G Marcazzan ◽  
S Nava ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Elemental Composition ◽  
Sources Identification

The virtual organisation

1997 ◽  
Vol 6 (1) ◽  
pp. 39-43 ◽  
Author(s):  
Chris Moller
Keyword(s):  
Virtual Organisation

scholarly journals Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic

2021 ◽  
Vol 14 (3) ◽  
pp. 112
Author(s):  
Kai Shi
Keyword(s):  
Stock Market ◽  
Frequency Band ◽  
Stock Markets ◽  
Emerging Market ◽  
Low Frequency ◽  
Systematic Risk ◽  
Error Variance ◽  
Frequency Bands ◽  
Volatility Spillovers ◽  
Risk Sources

We attempted to comprehensively decode the connectedness among the abbreviation of five emerging market countries (BRICS) stock markets between 1 August 2002 and 31 December 2019 not only in time domain but also in frequency domain. A continuously varying spillover index based on forecasting error variance decomposition within a generalized abbreviation of vector-autoregression (VAR) framework was computed. With the help of spectral representation, heterogeneous frequency responses to shocks were separated into frequency-specific spillovers in five different frequency bands to reveal differentiated linkages among BRICS markets. Rolling sample analyses were introduced to allow for multiple changes during the sample period. It is found that return spillovers dominated by the high frequency band (within 1 week) part declined with the drop of frequencies, while volatility spillovers dominated by the low frequency band (above 1 quarter) part grew with the decline in frequencies; the dynamics of spillovers were influenced by crucial systematic risk events, and some similarities implied in the spillover dynamics in different frequency bands were found. From the perspective of identifying systematic risk sources, China’s stock market and Russia’s stock market, respectively, played an influential role for return spillover and volatility spillover across BRICS markets.

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