One of the tasks of the Hellenic Hail Suppression Program is the determination of the observed Convective Day Category (CDC) Index. This process is accomplished by having the meteorologists analyze the operational dat...
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ISBN:
(纸本)9780780394452
One of the tasks of the Hellenic Hail Suppression Program is the determination of the observed Convective Day Category (CDC) Index. This process is accomplished by having the meteorologists analyze the operational data manually. To automate and speed up this procedure we have developed an application in the CLIPS Expert System environment that calculates the observed CDC index. In this paper we examine the appropriate data mining techniques that could be used to extract this index from operational data automatically.
The growing necessity to increase the systems safe v during running on board ships has imposed the method of block reserves. In the case of such redundant systems reliability behaviour is described by an assembly of r...
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ISBN:
(纸本)9780780394452
The growing necessity to increase the systems safe v during running on board ships has imposed the method of block reserves. In the case of such redundant systems reliability behaviour is described by an assembly of reliability functions. The work presents these functions emphasising the ways to ensure a high reliability of naval equipment. This paper also deals with the problems of establishing the optimum number of reserves blocks for serial reliable structure system. with imposed restrictions. It is proposed an algorithm that provides a faster convergence and the best solution. A reserved allocation is done not to the less reliable block but to the one that determines by allocation the biggest rise of system reliability.
Multimedia applications are characterized by an increased number of data transfers and storage operations. Appropriate transformations can be applied at the algorithmic level to improve crucial implementation characte...
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ISBN:
(纸本)9780780394452
Multimedia applications are characterized by an increased number of data transfers and storage operations. Appropriate transformations can be applied at the algorithmic level to improve crucial implementation characteristics. In this paper, the effect of data-reuse transformations on power consumption and performance of multimedia applications, realized on Application Specific Instruction set Processors (ASIP), is examined. An ASIP for multimedia applications, designed based on a complete methodologv is used to evaluate this effect. Results prove the efficiency of the ASIP solution and indicate that this approach can benefit, from such transformations, in terms of energy consumption and performance.
New tool for simulation of control systems (linear, non-linear and stochastic) is proposed. This software is written to simulate hybrid systems containing continuous and discrete (algorithmic) parts. Continuous proces...
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ISBN:
(纸本)9780780394452
New tool for simulation of control systems (linear, non-linear and stochastic) is proposed. This software is written to simulate hybrid systems containing continuous and discrete (algorithmic) parts. Continuous processes are simulated using traditional structural schemes representing differential equations. Discrete link's are simulated by a Petri net, which is connected with continuous part of a system model through special, new introduced, modified transitions - "processes". The net may control processes - switch them on or off The continuous part sends real type values, which are used in guard expressions of "processes", into the net.
data analysis assumes a fundamental role in the environmental sampling to evaluated atmospheric pollution. We present a study about the comparison between two techniques of interpretation data. The first one is based ...
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ISBN:
(纸本)9780780394452
data analysis assumes a fundamental role in the environmental sampling to evaluated atmospheric pollution. We present a study about the comparison between two techniques of interpretation data. The first one is based on data acquired in the sampling. The second one is based on sampling added with both meteorological analysis and traffic flow evaluation. Among different air polluting, we analysed the particulate matter pollution because of recent epidemiological studies have found out about an association between particulate matter concentration and negative effects on the health [1]. The goals of our study consists in demonstrating as a correct air quality control is carried out through the acquisition of intelligentdata, that is the reason why only intelligentdata can characterize this dynamic phenomenon.
The possibility of artificial neural network usage for recognition of a signal of a multi-parameter sensor (MPS), described by different mathematical models, is described in this paper. These mathematical models are d...
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ISBN:
(纸本)9780780394452
The possibility of artificial neural network usage for recognition of a signal of a multi-parameter sensor (MPS), described by different mathematical models, is described in this paper. These mathematical models are developed for the cases, when MPS conversion characteristics have positive derivatives, negative derivatives and derivatives of different sign at similar and opposite increasing of MPS output signal. The model of neural network, used for recognition, as well as achieved results of simulation modeling of a multi-parameter sensor signal recognition using MATLAB software are presented in the end of this paper.
This paper investigates the relationship between the social organisation of working environments and their relevance to system development. The objectives of this paper are therefore twofold. Firstly, it effectively a...
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ISBN:
(纸本)9780780394452
This paper investigates the relationship between the social organisation of working environments and their relevance to system development. The objectives of this paper are therefore twofold. Firstly, it effectively analyses the social aspects of working practices using established techniques of ethnography. Such analysis provides a 'rich' and 'concrete' portrayal of the situation and thus helps systematic design of CSCW systems. Secondly, it uses meta-modelling in order to represent and model the findings of the ethnographic analysis. The value of this approach is considered by means of evaluating the development of a model to which the approach was applied.
Most of the problems for data management in today's wireless sensor networks were already dealt with during the past thirty years of the artificial neural-networks tradition and that kind of algorithms can be easi...
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ISBN:
(纸本)9780780394452
Most of the problems for data management in today's wireless sensor networks were already dealt with during the past thirty years of the artificial neural-networks tradition and that kind of algorithms can be easily implemented to wireless sensor network platforms. These problems include the need for simple parallel distributed computation, possibility for distributed storage, fault-tolerance and in some cases the possibility of auto-classification of sensor readings. We will present dataacquisition through hierarchical two-level architecture with algorithms which will use wavelets for initial data-processing of the sensory inputs and neural-networks which use unsupervised learning for categorization of the sensory inputs. They are tested on a data obtained from a set of 4 motes, equipped with seven sensors each.
The aim of the present paper is to develop neuro-fuzzy models of the anaerobic organic digestion process in wastewater treatment from laboratory and simulated experiments accounting for the variable organic load, ambi...
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ISBN:
(纸本)9780780394452
The aim of the present paper is to develop neuro-fuzzy models of the anaerobic organic digestion process in wastewater treatment from laboratory and simulated experiments accounting for the variable organic load, ambient influence and microorganisms state in MATLAB environment. The main contributions are determination of significant model parameters via graphical sensitivity analysis, simulation experimentation and design and study in MATLAB of two "black-box" models for the biogas production rate, based respectively on classical feedforward backpropagation and Sugeno fuzzy logic neural networks. The models can find application in process prediction, optimization and control.
The large diffusion of the Distributed Measurement systems (DMS) aims to providing innovative solutions to different situations which appear for both industrial and educational applications Consequently, advanced hard...
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ISBN:
(纸本)9780780394452
The large diffusion of the Distributed Measurement systems (DMS) aims to providing innovative solutions to different situations which appear for both industrial and educational applications Consequently, advanced hardware platforms and innovative software architectures are demanded In these situations, the development of novel approaches in software and hardware tools for DMS has fundamental importance. The paper provides an overview of the hardware and software architectures which are currently used to develop DMSs, focusing on advanced topics concerning the DMS management In particalar, the workload the, synchronization and the communication delay aspects are taken into account.
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