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1
Content available Senior lab projects for teaching the Internet of Things in a Software Engineering program
Gonzalez F., Guo D., Nowicki A., Zalewski J.
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
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2017
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Nr 52
31--36
EN
This paper addresses student labolatories for courses related to the Internet of Things (IoT) in an undergraduate Software Engineering program. It revews the concept of the IoT, first, then discusses benefits of IoT in education, especially in engineering, and finally presents examples of projects, reviewing some more fundamental concepts of introducing such labs. Specific examples of IoT projects include software development for: a robotic arm accessed through AWS, GPS tracker with Sparkfun data stream services, online health monitoring with a smartwatch and Google Cluod, and remote relay access from a phone with MQTT service.
PL
W artykule omówiono zagadnienia laboratoriów studenckich dla kursów związanych z „Internetem rzeczy”, w programie studiów Inżynierii Oprogramowania. Przedstawiono koncepcję Internetu rzeczy i omówiono korzyści płynące z użycia tej technologii w kształceniu, szczególnie w dyscyplinach inżynierskich, dyskutując podstawowe problemy z tym związane. W szczególności, opisano praktyczne rozwiązania problemów laboratoryjnych, z użyciem robota, systemu GPS, inteligentnego zegarka i zdalnego przekaźnika, oraz przekazywania odpowiednich danych do przetwarzanuia w chmurze.
2
Content available remote (0 0 2)-oriented growth and morphologies of ZnO thin films prepared by sol-gel method
Guo D., Ju Y., Fu C., Huang Z., Zhang L.
Materials Science Poland
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2016
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Vol. 34, No. 3
555--563
EN
Zinc acetate was used as a starting material to prepare Zn-solutions from solvents and ligands with different boiling temperature. The ZnO thin films were prepared on Si(1 0 0) substrates by spin-coating method. The effect of baking temperature and boiling temperature of the solvents and ligands on their morphologies and orientation was investigated. The solvents and ligands with high boiling temperature were favorable for relaxation of mechanical stress to form the smooth ZnO thin films. As the solvents and ligands with low boiling temperature were used to prepare Zn-solutions, the prepared ZnO thin films showed (0 0 2) preferred orientation. As n-propanol, 2-methoxyethanol, 2-(methylamino)ethanol and monoethanolamine were used to prepare Zn-solutions, highly (0 0 2)-oriented ZnO thin films were formed by adjusting the baking temperature.
3
Content available remote The Revelation of Traffic Congestion Drift and Induction Mechanism under Information Modification
Guo D., Chen J., Li B., Li X.
Przegląd Elektrotechniczny
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2013
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R. 89, nr 3b
110--112
EN
It is shown in this paper that for the group of travelers, the individual's rational decision-making is not best, in some cases, still far away from the global peak. This conclusion has been proved by two common models --Greenshields and Underwood. Meanwhile, when the travelers know all the data of systems, congestion drift which can reduce the system throughput often occurs due to the conflict between individual rationality and global optimization. In this paper, we propose an induction mechanism which can greatly reduce the congestion drift by modifying some path information. The simulation experiments verify that the efficiency of the traffic system based on different network structure.
PL
W artykule opisano schemat postępowania przy wyborze optymalnego rozwiązania, w przypadku grupy podróżnych. Wstępną analizę przypadku wykonano na bazie modelu Greenshield i Undrwood, co wykazało, że rozwiązanie najlepsze indywidualnie, nie musi być optymalne dla grupy. Zaproponowane rozwiązanie redukuje pojawiający się zator uliczny. Badania symulacyjne potwierdzają skuteczność metody.
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.
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