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1
Content available Fabrication and Characterization of Photochromic Spirooxazine/Polyvinylidene Fluoride Fiber Membranes via Electrospinning
Peng L., Guo R., Lan J., Jiang S.
Fibres & Textiles in Eastern Europe
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2018
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Vol. 26, no. 4 (130)
34--38
EN
In this study, photochromic spirooxazine material of N-methyl-3,3-dimethyl-9'-hydroxy-spiro[2H-indole-2-[3H] naphtho [2,1-b] [1,4] oxazine] was synthesised. Spirooxazine/PVDF fiber (SPF) membranes with different contents ofspirooxazine were successfully prepared by electrospinning. The SPF membranes were characterised by FTIR and SEM.The photochromic properties and contact angle of the SPF membranes were evaluated. The results show that the SPF membranes change from colorless to blue whenexposed to UV light, but they revert to their original colour after the UV light disappears. The colour difference and contact angle of the SPF membranes firstly increase and then decrease with a rise in the content of spirooxazine.
PL
W pracy otrzymano fotochromowy materiał spirooksazynowy N-metylo-3,3-dimetylo-9'-hydroksy-spiro [2H-indolo-2 - [3H] nafto [2,1-b] [1,4] oksazyny]. Za pomocą elektroprzędzenia wytworzono membrany z spiroksaksyny i fluorku poliwalildanu PVDF (SPF) o różnej zawartości spiroksaksyny. Błony SPF scharakteryzowano za pomocą FTIR i SEM. Oceniono właściwości fotochromowe i kąt zwilżania błon SPF. Wyniki pokazały, że membrany SPF zmieniają kolor z bezbarwnego na niebieski po ekspozycji na światło UV, ale powracają do swojego pierwotnego koloru po zaniku światła UV. Różnica barwy i kąt zwilżania membran SPF najpierw wzrastają, a następnie zmniejszają się wraz ze wzrostem zawartości spirooksazyny.
2
Content available Coexistence of synchronization and anti-synchronization in chaotic systems
Ren L., Guo R., Vincent U. E.
Archives of Control Sciences
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2016
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Vol. 26, no. 1
69--79
EN
The coexistence of anti-synchronization and synchronization in chaotic systems is investigated. A novel algorithm is proposed to determine the variables of the master system that should anti-synchronize with corresponding variables of the slave system. Control strategies that guarantee the coexistence of synchronization and anti-synchronization in the unified chaotic system are presented; while numerical simulations are employed to validate and illustrate the effectiveness of the proposed method.
3
Content available Nash-lambda algorithm with applications in safety and reliability
Cui Y., Guo R.
Journal of Polish Safety and Reliability Association
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2011
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Vol. 2, No. 1
51--58
EN
In this paper, a new algorithm, named as Nash-lambda algorithm by merging Nash equilibrium solution and the lambda algorithm, is proposed. The lambda algorithm, a new global optimization algorithm, is created by imitating ancient Chinese human body system model, which has already demonstrated its simplicity in searching scheme, codes and efficiency in computation comparing to the genetic algorithm. The noncorporative game environments determine the optimization problems which are different from those of the traditional safety and reliability optimizations because of the engagement of the Nash equilibrium for seeking the best strategy. The lambda algorithm serves the searching the Nash equilibrium solution efficiently. In other worlds, the Nash-lambda algorithm is just developed to address the optimization problems of the multiple objective functions representing non-corporative players’ interests.
4
Content available Lifetime distributions with wave-like bathtub hazard
Guo R., Thiart C., Cui Y., Guo D.
Journal of Polish Safety and Reliability Association
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2011
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Vol. 2, No. 1
115--122
EN
In this paper, we argue the necessity of dealing with lifetime distributions with wave-like bathtub hazard function. Four classes of wave-like bathtub hazards are investigated. For preparing maximum likelihood estimation of the hazard parameters, the first-order and second-order partial derivatives are derived.
5
Content available Lambda algorithm and maximum likelihood estimation
Cui Y., Guo R., Guo D.
Journal of Polish Safety and Reliability Association
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2011
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Vol. 2, No. 1
59--72
EN
In this paper, a new global optimization algorithm by imitating ancient Chinese human body system model, named as lambda algorithm, is introduced. The lambda algorithm utilizes five-element multi-segment string to represent the n-dimensional Euclidean point and hence the string based operation rules for expansion, comparison and sorting candidate strings. The algorithm enjoys the simplest mathematical operations but generates highest searching speed and accuracy. We furthermore explore to merge the lambda algorithm with maximum likelihood procedure for creating a non-derivative scheme – likelihood- lambda procedure. A illustrative example is given.
6
Content available Reliability concept under general uncertainty
Guo R., Cui Y., Thiart C., Guo D.
Journal of Polish Safety and Reliability Association
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2010
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Vol. 1, No. 1
105--114
EN
The Toyota crisis is tearing off the brand image of quality and reliability and therefore it is logical to question whether the dominating position of probability theory, on which Japanese quality and reliability engineering practices are established, should be examined. In general, reliability analysis is an exercise under uncertain environment. Foundationally speaking, uncertain modeling is a matter of choosing what kind of uncertain measure as its standing point. In this paper, we introduce the uncertainty reliability concept on the platform of the axiomatic uncertain measure theory and compare it to probabilistic reliability concept based on Kolmogorov’s probability measure theory, on which the traditional quality and reliability engineering is established. It is expecting that a foundational work can be established for a more rigorous reliability engineering and risk analysis under general uncertainty environments.
7
Content available Hybrid reliability modelling under general uncertainty
Guo R., Cui Y., Thiart C., Guo D.
Journal of Polish Safety and Reliability Association
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2010
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Vol. 1, No. 1
115--122
EN
The real world phenomena are often facing the co-existence reality of different formality of uncertainty and thus the probabilistic reliability modeling practices are very doubtful. Under complicated uncertainty environments, hybrid variable modeling is important in reliability and risk analysis, which includes Bayesian distributional theory, random fuzzy distributional theory, as well as fuzzy random distributional theory as special distribution families. In this paper, we define a new hybrid lifetime which is specified by a random lifetime distribution with an uncertain distributed parameter, which is called as random uncertain hybrid lifetime. We furthermore define the average chance distribution as a quality index for quantifying the hybrid lifetime and accordingly the average chance reliability is derived.
8
Content available Decision theory under general uncertainty
Cui Y., Guo R., Dunne T., Guo D.
Journal of Polish Safety and Reliability Association
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2010
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Vol. 1, No. 1
51--66
EN
The exposure of Toyota management’s cover-up of its faulty car component problems raises a fundamental question: did Toyota management make an appropriate decision taking all uncertainties into account? Statistical decision theory is a framework with a probabilistic foundation, which admits random uncertainty about the real world and human thinking. In general, the uncertainty of the real world is diversified and therefore the effort of trying to deal with different forms of uncertainty with one special form of uncertainty, namely random uncertainty, may be oversimplified. In this paper, we introduce an axiomatic uncertain measure theoretical framework and explore the essential mechanism in formulating a general uncertainty decision theory. We expect that a new understanding of uncertainty and development of a corresponding new uncertainty decision-making approach may assist intelligence communities to survive and deal with the extremely tough and diverse aspects of an uncertain reality.
9
Content available Random fuzzy Poisson processes
Guo R., Nyirenda J., Guo D.
Journal of Polish Safety and Reliability Association
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2009
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Vol. 1
113--122
EN
Poisson processes, particularly the time-dependent extension, play important roles in reliability and risk analysis. It should be fully aware that the Poisson modeling in the current reliability engineering and risk analysis literature is merely an ideology under which the random uncertainty governs the phenomena. In other words, current Poisson Models generate meaningful results if randomness assumptions hold. However, the real world phenomena are often facing the co-existence reality and thus the probabilistic Poisson modeling practices may be very doubtful. In this paper, we define the random fuzzy Poisson process, explore the related average chance distributions, and propose a scheme for the parameter estimation and a simulation scheme as well. It is expecting that a foundational work can be established for Poisson random fuzzy reliability and risk analysis.
10
Content available Random fuzzy continuous-time Markov chains
Guo R., Nyirenda J., Dunne T., Guo D.
Journal of Polish Safety and Reliability Association
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2009
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Vol. 1
123--132
EN
Continuous-time Markov chains is an important subclass in stochastic processes, which have facilitated many applications in business decisions, investment risk analysis, insurance policy making and reliability modeling. It should be fully aware that the existing continuous-time Markov chains theory is merely an ideology under which the random uncertainty governs the phenomena. However, the real world phenomena are often revealing the randomness and vagueness co-existence reality and thus the probabilistic continuous-time Markov chains modeling practices may be not adequate. In this paper, we define the random fuzzy continuous-time Markov chains, explore the related average chance distributions, and propose a scheme for the parameter estimation and a simulation scheme as well. It is expecting that a foundational work can be established for reliability modeling and risk analysis, particularly, repairable system modeling.
11
Content available Fuzzy regression : a scalar variable formation
Guo R., Guo D.
Journal of Polish Safety and Reliability Association
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2008
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Vol. 1
159--167
EN
In reliability, quality control and risk analysis, fuzzy methodologies are more and more involved and inevitably introduced difficulties in seeking fuzzy functional relationship between factors. In this paper, we propose a scalar variable formation of fuzzy regression model based on the credibility measure theoretical foundation. It is expecting our scalar variable treatments on fuzzy regression models will greatly simplify the efforts to seeking fuzzy functional relationship between fuzzy factors. An M-estimator for the regression coefficients is obtained and accordingly the properties and the variance-covariance for the coefficient M-estimators are also investigated in terms of weighted least-squares arguments. Finally, we explore the asymptotic membership function for the coefficient M-estimators.
12
Content available DEAR theory and applicability in system dynamics analysis
Guo R., Guo D.
Journal of Polish Safety and Reliability Association
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2008
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Vol. 1
149--158
EN
In this paper, we introduce our newly created DEAR (an abbreviation of Differential Equation Associated Regression) theory, which merges differential equation theory, regression theory and random fuzzy variable theory into a new rigorous small sample based inferential theoretical foundation. We first explain the underlying idea of DEAR modelling, its classification, and then the M-estimation of DEAR model. Furthermore, we explore the applicability of DEAR theory in the analysis in system dynamics, for example, repairable system analysis, quality dynamics analysis, stock market analysis, and ecosystem analysis, etc.
13
Content available An univariate DEMR modelling on repair effects
Guo R.
Journal of Polish Safety and Reliability Association
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2007
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Vol. 1
157--165
EN
Repairable system analysis is in nature an evaluation of repair effects. Recent tendency in reliability engineering literature was estimating system repair effects or linking repair to certain covariate to extract repair impacts by imposing repair regimes during system reliability analysis. In this paper, we develop a differential equation motivated regression (abbreviated as DEMR) model with a random fuzzy error term based on the axiomatic framework of self-dual fuzzy credibility measure theory proposed by Liu [5] and grey differential equation models. The fuzzy variable indexes the random fuzzy error term will be used to facilitate the evaluation of repair effects. We further propose a parameter estimation approach for the fuzzy variable (repair effect) under the maximum entropy principle.
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