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Found 6289 publications

Identification and interpretation of acausal synchronistic cognitive networks Part II. Observations via Laurens van der Post

Peter Varlaki Péter Baranyi

Publication Name: 4th IEEE International Conference on Cognitive Infocommunications Coginfocom 2013 Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 839-850

Description:

The paper deals with the modeling and identification of the hypothetical acausal synchronistic cognitive networks concerned as 'artifacts' ('works of art') of collective 'creative' unconscious processes. This part of the paper discusses the 'joint observations' of Carl Jung and Wolfgang Pauli via interpretations of Laurens van der Post. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2013.6719214

Why are the participation rates in lifelong learning so low in Hungary?

Péter Róbert Saida Ayupova Szilvia Altorjai

Publication Name: Lifelong Learning in Europe National Patterns and Challenges

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 280-303

Description:

No description provided

Open Access: Yes

DOI: 10.4337/9780857937360.00020

Hungary - Local government in Hungary: A creeping centralisation?

Zoltán Szente

Publication Name: Local Government in Europe the Fourth Level in the Eu Multilayered System of Governance

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 151-182

Description:

No description provided

Open Access: Yes

DOI: 10.4324/9780203766729

Exploiting the functional training approach in takagi-sugeno neuro-fuzzy systems

Pedro M. Ferreira Cristiano L. Cabrita António E. Ruano László T. Kóczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2013-01-01

Volume: 195 AISC

Issue: Unknown

Page Range: 543-559

Description:

When used for function approximation purposes, neural networks and neuro-fuzzy systems belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the training problem is formulated as the minimization of the integral of the (functional) squared error, over the input domain. Using this approach, the computation of the derivatives involves terms that are dependent only on the model and the input domain, and terms which are the projection of the target function on the basis functions and on their derivatives with respect to the nonlinear parameters, over the input domain. These later terms can be numerically computed with the data. The use of the functional approach is introduced here for Takagi-Sugeno models. An example shows that this approach obtains better results than the standard, discrete technique, as the performance surface employed is more similar to the one obtained with the function underlying the data. In some cases, as shown in the example, a complete analytical solution can be found. © 2013 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-33941-7_48

Improving performance prediction of parallel and distributed discrete event simulation: A rough sets-based approach

László Muka István Derka

Publication Name: 11th International Industrial Simulation Conference 2013 Isc 2013

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 95-100

Description:

The rapid growth of complexity of communication networks - including grids, cloud systems and services - increases the need for the use and performance prediction of parallel and distributed discrete event simulation. The paper aims at the decreasing the overall cost of simulation by improving the performance prediction of simulation particularly for the phases with uncertain and vague information. Involving rough sets-based methods, the paper introduces how the efficiency of the well known coupling factor method of the performance prediction of parallel and distributed simulation can be improved. According to the presented results, the prediction can merely be based on the maintainable lookahead feature of the designed simulation model. Using the rough set analysis, the paper also describes how the number of simulation experiments necessary for prediction can be limited without the decrease of accuracy of prediction.

Open Access: Yes

DOI: DOI not available

Variable network model

Zsuzsanna Bede Tamás Péter Ferenc Szauter

Publication Name: IFAC Proceedings Volumes IFAC Papersonline

Publication Date: 2013-01-01

Volume: 1

Issue: PART 1

Page Range: 173-177

Description:

Exploration and analysis of the possible application of state-dependent control through changing the structure of the above road traffic systems. © IFAC.

Open Access: Yes

DOI: 10.3182/20130916-2-tr-4042.00026

Elaboration of a new method for developing a diagnostic procedure for motor vehicles based on a model

István Lakatos

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2013-01-01

Volume: 41

Issue: 1

Page Range: 57-64

Description:

In diagnostic expert systems we utilize the professional knowledge accumulated in the given field. This is processed by an adequate software. Although, it causes problem that the regularities of the diagnostic systems cannot always be algorithmized. In the forthcoming section I analyse the connection between the elaboration of diagnostic procedures used for the operation of vehicles and vehicle systems and their modelling from a different perspective. It can provide an aid for the elaboration of a new diagnostic procedure if we apply models for the analysis of the behaviour of the phenomena we would like to study [10, 11].

Open Access: Yes

DOI: 10.3311/PPtr.7100

Travel demand management - Possibilities of influencing travel behaviour

Mattias Juhász

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2013-01-01

Volume: 41

Issue: 1

Page Range: 45-50

Description:

Nowadays, one of the biggest and most challenging tasks of cities is the management of urban and suburban transport. The growth of mobility and motorization in the last centuries led into a social trap that only has recently been recognized through congestion and environmental problems. The issues mostly arise in areas where travel demand is at a high level, namely in large cities. Handling urban and suburban transport problems could significantly influence the competitiveness of cities. In times of economic crisis and climate change it is crucial how to use scarce resources, therefore cost- and energy efficiency are becoming more and more important factors. Under these circumstances transport sector is also about to realize that new travel demand management tools can diminish the negative impacts while reasonable mobility needs can be satisfied. In this paper the possible tools of travel demand management are categorized focusing on innovative measures. Recommendations are concluded through international best-practices in accordance with the method of Sustainable Urban Mobility Planning.

Open Access: Yes

DOI: 10.3311/PPtr.7096

Identification and interpretation of acausal synchronistic cognitive networks Part I. Jung and Pauli as joint observers

Peter Varlaki Péter Baranyi

Publication Name: 4th IEEE International Conference on Cognitive Infocommunications Coginfocom 2013 Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 823-838

Description:

The paper discusses the modelling and identification possibilities of acausal synchronistic cognitive networks concerned as a hypothetical 'artifacts' of collective unconscious processes. This part of the paper deals with the analysis and interpretation via 'joint observations' of Jung and Pauli. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2013.6719213