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Found 6289 publications

Improving the efficiency of a fuzzy-based single-stroke character recognizer with hierarchical rule-base

A. Tormási László T. Kóczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 421-426

Description:

In this paper we present an improved version of the fuzzy based single-stroke character recognizer introduced in previous works. The modified recognition method is able to reach an acceptable accuracy in the character recognition with a significant decrease on the computational complexity of the algorithm. Different hierarchical rule-base techniques were successfully used to improve the efficiency of fuzzy systems. The altered recognizer reached 98.82% average recognition rate with 26 different single-stroke symbols (based on Palm's Graffiti alphabet) without learning user-specific parameters or modifying the rule-base during the tests. The new algorithm has a small decrease in the recognition rate compared to the accuracy of the original systems but the new method has less computational price than the original system does. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496803

Human gesture recognition for robot partners by spiking neural network and classification learning

János Botzheim Takenori Obo Naoyuki Kubota

Publication Name: 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligence Systems Scis Isis 2012

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 1954-1958

Description:

Recently, the rate of elderly people rises in the super-aging society. Human-friendly robots can be used to support the mental and physical care for elderly people and to assist the care of caregivers to elderly people. Robotic conversation can activate the brain of such elderly people and improve their concentration and memory abilities. However, it is difficult for a robot to converse appropriately with a person even if many contents of the conversation are designed in advance because the performance of voice recognition is not enough in the daily conversation. Recognition of human gestures is also important in order to perform smooth communication. This paper deals with human gestures recognition using spiking neural network and classification learning. The proposed method is able to handle the cultural differences in the human communication. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/SCIS-ISIS.2012.6505305

Experimental results of evolving Takagi - Sugeno fuzzy models for a nonlinear benchmark

Claudiu Radu Pozna Mircea Bogdan Rǎdac Claudia Adina Dragos Horatiu Ioan Filip Radu Emil Precup Stefan Preitl

Publication Name: 3rd IEEE International Conference on Cognitive Infocommunications Coginfocom 2012 Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 567-572

Description:

The paper offers evolving Takagi-Sugeno (T-S) fuzzy models for a nonlinear benchmark represented by the pendulum-crane system and focused on the dynamics of pendulum angular position behavior. The rule bases and parameters of T-S fuzzy models are continuously evolved by an online identification algorithm in terms of computing the potentials of new data points. Accepting the pendulum angle as model output, two T-S fuzzy models are derived, viz. with a single input and with three inputs. The experimental results are obtained for a pendulum-crane laboratory equipment system and they show the performance of the proposed evolving T-S fuzzy models. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2012.6422044

Energy and cost optimal design for the reconstruction of residential building envelopes by bacterial memetic algorithms

János Botzheim József Levente Hontvári János Balázs Árpád Csík Tamás Csoknyai

Publication Name: 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligence Systems Scis Isis 2012

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 1226-1231

Description:

In this paper we apply bacterial memetic algorithms for the energy and cost optimal renovation of residential buildings. Following economical demands, there are two types of optimizations considered. First, the total cost of the renovation is prescribed and the best energy quality of the building envelope is determined with a total construction cost not exceeding the given limit. Second, the targeted energy quality of the renovated building is prescribed, and the algorithm determines the optimal renovation plan requiring the smallest costs. Only the optimization of the building envelope is performed, the optimization of the heating-ventilation-air-condition system is ignored. The chromosome of the bacteria contains genes taking only integer values and genes taking real values as well. The value of the genes taking only integer numbers are improved by a simple local search algorithm. The value of the genes taking real numbers are improved locally by the Levenberg-Marquardt approach. Results of actual building optimizations reveal the potential of the proposed algorithm. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/SCIS-ISIS.2012.6505181

Multi-threaded Bacterial Iterated Greedy heuristics for the Permutation Flow Shop Problem

Krisztián Balázs László T. Kóczy Zoltán Horváth

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 63-66

Description:

This paper proposes approaches for combining Iterated Greedy techniques, as state-of-the-art methods, with bacterial evolutionary algorithms based on a hybrid technique involving the Multi-Threaded Iterated Greedy heuristic and a memetic algorithm in order to efficiently solve the Permutation Flow Shop Problem on parallel computing architectures. In the present work three novel approaches are proposed by combining a variant of the Bacterial Memetic Algorithm and the recently proposed Bacterial Iterated Greedy technique with the mentioned hybrid multi-threaded approach. The techniques thus obtained are evaluated via simulation runs carried out on a series of data from the well-known Taillard's benchmark problem set. Based on the experimental results the multi-threaded hybrid methods are compared to each other and to the original techniques (i.e. to the techniques without bacterial algorithms). © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496734

Information society, business intelligence

Galli Richárd

Publication Name: Informacios Tarsadalom

Publication Date: 2012-12-01

Volume: Unknown

Issue: 2

Page Range: 68-76

Description:

The article shows that business intelligence cannot only provide a ground for business decisions, but also answers workforce questions. This is why the article revolves around two - connecting - topics: the first is the management of corporate human resources - the definition of who is the most capable of filling which positions and how to keep her/him there - the second part is about hierarchical questions, such as the creation of the business intelligence competency center.

Open Access: Yes

DOI: DOI not available

Numerical reconstruction and compression of thermal image sequences

András Rövid Takeshi Hashimoto Lászlõ Szeidl

Publication Name: International Conference on Emerging Trends in Engineering and Technology Icetet

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 298-302

Description:

Data compression and enhancement represent an important consideration in many application areas. The transmission bandwidth and storage capacity are often crucial factors. The efficiency of the processing of data in numerous cases strongly depends on the form of data representation. In the present paper a method, based on the so called higher order singular value decomposition and tensor-product transformation, is introduced for multidimensional scaling and compression of thermal images sequences. The proposed approach operates with smooth functions forming an orthonormal basis. Because of the smoothness property of these orthonormal components, the method can advantageously be utilized for the efficient compression of thermal image sequences. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/ICETET.2012.40

Improving the Strategic Level Performance Measurement in Warehousing Processes

János Botzheim Peter Foldesi P. Németh

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2012-12-01

Volume: 16

Issue: Unknown

Page Range: 365-374

Description:

In our paper we propose a new method for the strategic level performance measurement at a warehouse in Hungary. The growing challenge of remaining successful in the warehousing forced the given warehouse to introduce and use a new tool for monitoring and forecasting strategic level indicators. Our proposed tool uses computational intelligence to establish connection between basic operational level data and important strategic level indicators. In this article we present the idea behind this tool and the process of programming and learning with company data. Finally, an evaluation is presented based on the results of the program run. © Springer-Verlag Berlin Heidelberg 2012.

Open Access: Yes

DOI: 10.1007/978-3-642-29920-9_37

New parameterizable search space narrowing technique for adjusting between accuracy and interpretability in fuzzy systems

Krisztián Balázs László T. Kóczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 323-328

Description:

It is well known that beyond the fact that fuzzy systems have favorable modeling capabilities from the viewpoint of accuracy, they also have outstanding inherent interpretability possibilities, which is a rather unique property among modeling architectures and which is a strong motivation for their research and application. This paper focuses on both mentioned property types and proposes a new technique for adjusting between accuracy and interpretability in modeling systems where fuzzy rule based architectures together with evolutionary algorithms are used for knowledge extraction. First, an inconsistency problem of conventional interpretable fuzzy systems is resolved. Then, a new search space narrowing technique for evolutionary algorithms is proposed, which can be applied for constructing interpretable fuzzy rule bases. Finally, the favorable properties of this new approach will be verified experimentally by carrying out simulation runs. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496783