The paper presents an original approach to the analysis of network data flows with the application of statistical spatial analysis methods. An illustrative example has been presented how to identify the correlations i...
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ISBN:
(纸本)9789814417730
The paper presents an original approach to the analysis of network data flows with the application of statistical spatial analysis methods. An illustrative example has been presented how to identify the correlations in network nodes behaviour and how to support the process of detection of network traffic related problems. The proposed method of data traffic analysis can be used to support various network management and security related tasks for example anomaly detection. The presented example shows how spatial correlations reflect the changes in communication patterns and so how they may be used for the detection of ongoing attacks, data link failures or network traffic routing problems.
In this paper, a multi-period decision problem with partially known information is considered. In each stage, a decision maker has one and only one chance to make a decision. The optimal decision in each stage is obta...
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ISBN:
(纸本)9789814417730
In this paper, a multi-period decision problem with partially known information is considered. In each stage, a decision maker has one and only one chance to make a decision. The optimal decision in each stage is obtained based on the one-shot decision theory. That is, the decision maker chooses one of states of nature (scenario) of each alternative in every stage with considering the satisfaction of the outcome and its possibility. The selected state of nature is called the focus point. Based on the focus points, the decision maker determines the optimal alternative in each stage by dynamic programming problems.
The processes of cake forming filtration during a loss of coolant accident in a nuclear power plant are of safety-related importance. Thereby these accretion processes are characterized by high complexity. Thus, preci...
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ISBN:
(纸本)9789814417730
The processes of cake forming filtration during a loss of coolant accident in a nuclear power plant are of safety-related importance. Thereby these accretion processes are characterized by high complexity. Thus, precise predications to the operation course and effect are hindered. Hence a dynamic model is reasonable for a broad investigation and understanding of these processes. One submodel is the solid fraction movement in the fluid, which is presented in this paper.
In this paper fields of research are modular neural networks and consistent real-valued logic as a technique for aggregation of the modules. Aggregation is done using logical and pseudo-logical aggregation based on in...
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ISBN:
(纸本)9789814417730
In this paper fields of research are modular neural networks and consistent real-valued logic as a technique for aggregation of the modules. Aggregation is done using logical and pseudo-logical aggregation based on interpolative Boolean algebra (IBA). IBA is technically realized through generalized Boolean polynomials. The proposed technique expands the existing base of modular neural network models and shows respectable results in forecasting currency exchange rates
Energy has a vital role in the development of countries. The situation of global increasing demand for energy, lack of domestic resources, energy prices, etc. force the policy makers to plan energy policies in detail....
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ISBN:
(纸本)9789814417730
Energy has a vital role in the development of countries. The situation of global increasing demand for energy, lack of domestic resources, energy prices, etc. force the policy makers to plan energy policies in detail. In this paper, the strategic energy situation of Turkey is analyzed. This paper presents a hybrid model that combines strength, weakness, opportunity and threat (SWOT) analysis with the fuzzy analytic network process (FANP) method. In the evaluation process, it is occasionally impossible to take precise information from decision makers (DMs) who can say their assessments relatively and approximately. It is also needed to use fuzzy logic to alleviate this problem. Since the evaluation and selection of alternative energy policies is a complex multicriteria decision making (MCDM) problem, one of the most popular MCDM methods, ANP, is used under fuzziness in this paper. For this aim, four factors, twenty one sub-factors are determined and seven alternative policies are evaluated. It is computed that the most important three sub-factors are "major companies' interest for offshore drilling in Mediterranean and Black Sea", "developing economy of the country" and "rapidly increasing energy demand", respectively. As a result, Turkish energy policy makers are advised to focus on the privatization of electric transmission and distribution facilities, integrating the national electric system with European transmission systems and turning the country into an energy hub and terminal to be able to get the rapid economic growth and mitigate future energy problems.
Biometrics is an emerging field, where technology enhances our ability to identify an individual. The identification by hand geometry is one of the most widely approved by the general public, it is very easy to use an...
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ISBN:
(纸本)9789814417730
Biometrics is an emerging field, where technology enhances our ability to identify an individual. The identification by hand geometry is one of the most widely approved by the general public, it is very easy to use and less expensive than other techniques. Our work is based on the realization of a system that is capable for recognizing an individual based solely on the geometry of his hand, gpdsHAND database was used, where a preprocessing has been applied to extract the relevant characteristics of each image, these will be used in the identification phase. Two classification approaches are implemented, the SVMs (support vector machine) and neural networks PMC (Multilayer Perceptron). We then present our experiments and results and we will fix our perspectives.
Options pricing is still an open area for exact results. Monte Carlo integration is the unique solution for especially complicated options. It is desired to control variability while implementing Monte Carlo technique...
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ISBN:
(纸本)9789814417730
Options pricing is still an open area for exact results. Monte Carlo integration is the unique solution for especially complicated options. It is desired to control variability while implementing Monte Carlo techniques. In order to supply reliable results variance of simulation trials should be decreased. Importance Sampling is one of the variance reduction techniques commonly used in Monte Carlo applications. This study includes a research to gather the appropriate Importance Sampling density which gives the lowest variance. We illustrate the Importance Sampling method on financial options and calculate the value of options. By the same way, it is possible to calculate any expectation that cannot be calculated analytically. Numerical results indicate that longer tailed proposal distributions provide substantial decrease in the estimated variance.
Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in acti...
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ISBN:
(纸本)9789814417730
Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity planning and economic regulation of decentralized units under a common management. One important management challenge in such systems (e. g. schools, hospitals, utilities) is how to implement reductions in common resources (budget, staff, raw material) as well as centrally allocated outputs (students, patients, service areas) while maintaining a high operational efficiency of the system. We extend earlier work on DEA activity planning under resource and output restrictions for the case in which the centralized planner is facing an imprecise shrinkage factor, here expressed as interval data. The implementation of the proposed method is applied for a numeric example.
Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is custo...
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ISBN:
(纸本)9789814417730
Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customer-oriented and aims to meet the needs and expectations of customers to increase their satisfaction. While creating a marketing strategy, an enterprise must consider many factors. Which is why, the process can and should be considered as a multi-criteria decision making (MCDM) case. In this study, marketing strategies and marketing decisions in the new-product-development process has been analyzed in a macro level. To deal quantitatively with imprecision or uncertainty, fuzzy sets theory has been used throughout the analysis.
Concerning the environmental parameters in product development is crucial. However the studies which focus on environmental product developmentput mostly aside cost and quality parameters. In this study, a multi aspec...
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ISBN:
(纸本)9789814417730
Concerning the environmental parameters in product development is crucial. However the studies which focus on environmental product developmentput mostly aside cost and quality parameters. In this study, a multi aspect QFD for Environment (QFDE) methodis proposed. In order to define the priorities of the stakeholders' requirements, Fuzzy Analytic Hierarchy Process (FAHP) Extent Analysis technique is used. The method is applied for the product "hand blender".
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