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Title: Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings
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Abstract:
The main area which Formal Safety Assessment (FSA) methodology was created for is maritime safety. Its model presents quantitative risk estimation and takes detailed information about accident characteristics into account. Nowadays, it is broadly used in shipping navigation around the world. It has already been shown that FSA can be widely used for the assessment of pilotage safety. ; On the basis of analysis and conclusion on the FSA approach, this paper attempts to show that the adaptation of this method to another area - risk evaluating in operating conditions of buildings - is possible and effective. It aims at building a mathematical model based on fuzzy logic risk assessment with different habitat factors included. The adopted approach lets us describe various situations and conditions that occur in creating and exploiting of buildings, allowing for automatic control of the risk connected to them.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
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Pages:
Source:
AMCS, volume 19, number 2 (2009) ; click here to follow the link
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Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2009)
Last modified:
Nov 5, 2024
In our library since:
Apr 9, 2024
Number of object content hits:
31
All available object's versions:
https://zbc.uz.zgora.pl/publication/88547
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19, number 1 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19, number 2 (2009)
- Topological derivatives for semilinear elliptic equations
- Influence of preconditioning and blocking on accuracy in solving Markovian models
- Input constraints handling in an MPC/feedback linearization scheme
- Efficient nonlinear predictive control based on structured neural models
- Design of the state predictive model following control system with time-delay
- Independence of asymptotic stability of positive 2D linear systems with delays of their delays
- Simple conditions for practical stability of positive fractional discrete-time linear systems
- Control error dynamic modification as an efficient tool for reduction of effects introduced by actuator constraints
- On directional change and anti-windup compensation in multivariable control systems
- Optimization schemes for wireless sensor network localization
- Ensemble neural network approach for accurate load forecasting in a power system
- Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings
- Decomposition of vibration signals into deterministic and nondeterministic components and its capabilities of fault detection and identification
- Adaptive prediction of stock exchange indices by state space wavelet networks
- Statistical estimation of the dynamics of watershed dams
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19, number 3 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19, number 4 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19, number 1 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 13 (2003)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 12 (2002)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 11 (2001)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 10 (2000)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 9 (1999)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 7 (1997)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 5 (1995)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 4 (1994)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 2 (1992)
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International Journal of Applied Mathematics and Computer Science (AMCS),volume 1 (1991)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
| Edition name | Date |
|---|---|
| Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings | Nov 5, 2024 |
