A new features based algorithm for face recognition is proposed. The algorithm is based on locating features on faces and finding the correspondence of these features between faces using an algorithm which is adopted ...
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ISBN:
(纸本)9781424445608
A new features based algorithm for face recognition is proposed. The algorithm is based on locating features on faces and finding the correspondence of these features between faces using an algorithm which is adopted from the works of Yasein and Agathoklis. The algorithm is using feature extraction through filtering with Mexican-hat wavelets and detection of correspondence of the feature points through comparison of Zernike moments. The transformation of the feature points between images is obtained using an iterative weighted least-squares algorithm which allows to eliminate outliers. The face recognition is based on the residual error between the feature points after transformation. The performance of the proposed method is evaluated using experiments with a face database and compared against existing techniques for face recognition. The results of experiments with varying pose and illumination conditions show that the proposed method performs well compared to existing feature based face recognition techniques.
The architecture of designed intrusion detection system is based on two layer hybrid model for event detection. System function is based on analysis parts of network flow in a real communication and offers processing ...
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The architecture of designed intrusion detection system is based on two layer hybrid model for event detection. System function is based on analysis parts of network flow in a real communication and offers processing of this data in a real time. The core of the first layer are detection sensors, which offer base processing based on statistical methods with direct interconnection to countermeasure module. Performance and accuracy of designed system is secured with central distributed processing, in which is used detection based on particular event description, which foregoing intrusion. The architecture presented in this article is a result of teamwork of Department of computer and informatics and Institute of computer technologies of Technical University of Kosice. Its partial results are processed in author's master thesis and research within the APPV-0073-07 project.
This paper introduces a method for better communication between collaborating engineers and between engineer and entity generation processes at the definition of products in modeling systems. The authors recognized th...
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This paper introduces a method for better communication between collaborating engineers and between engineer and entity generation processes at the definition of products in modeling systems. The authors recognized the importance of correct human-computer- human communication by using of product model as a special medium for engineers. In order to establish a product model that is appropriate for this purpose, they integrated all influencing effects on a product in an influencing space. In order to record content of influencing by engineers and other influencing persons, authorities, etc., the currently prevailing information based product model is completed by representation of information content. This paper emphasizes some relevant issues of information content. Definition of this contents starts from modeling of human intent. Intent model is consists of information about the owner of an intent, characteristics of that intent, and representation of content of intent in some form of knowledge. Information content is organized in the interconnected intent, behavior, and decision spaces. In a hierarchical system, intent space is at the highest and decision space is at the lowest level hierarchy assuring human intent based automation of decision making on engineering object in an improved product model.
It is proposed an image complexity matrix (IC), based on the analysis of the Fourier spectrum of the input image. It is described the method of IC calculation. It was carried out the determination of the necessary num...
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Intelligent post-processing of data mining results can provide valuable knowledge. In this paper we present the first systematic solution to post-processing that is based on semantic web technologies. The framework in...
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The paper presents a new systematic analysis method in order to estimate the total absorbed power and energy in linear electric and magnetic circuits with modifiable parameters. The relation between the variation in o...
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The paper presents a new systematic analysis method in order to estimate the total absorbed power and energy in linear electric and magnetic circuits with modifiable parameters. The relation between the variation in one or all the resistances and reluctances of the networks and the variation of total absorbed power and energy are discussed using the Lagrange's method. For the considered applications the results are obtained with Mathematica and Maple useful for establishing the variation limits of absorbed power and energy.
Tags pose an efficient and effective way of organization of resources, but they are not always available. A technique called SCM/THD investigated in this paper extracts entities from free-text annotations, and using t...
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Tags pose an efficient and effective way of organization of resources, but they are not always available. A technique called SCM/THD investigated in this paper extracts entities from free-text annotations, and using the Lin similarity measure over the WordNet thesaurus classifies them into a controlled vocabulary of tags. Hypernyms extracted from Wikipedia are used to map uncommon entities to Wordnet synsets. In collaborative environments, users can assign multiple annotations to the same object hence increasing the amount of information available. Assuming that the semantics of the annotations overlap, this redundancy can be exploited to generate higher quality tags. A preliminary experiment presented in the paper evaluates the consistency and quality of tags generated from multiple annotations of the same image. The results obtained on an experimental dataset comprising of 62 annotations from four annotators show that the accuracy of a simple majority vote surpasses the average accuracy obtained through assessing the annotations individually by 18%. A moderate-strength correlation has been found between the quality of generated tags and the consistency of annotations.
This paper considers problem of stabilization of the first order nonholonomic chained system using polar-like coordinates. A control method considered here can be regarded as an extension of control solution based on ...
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This paper considers problem of stabilization of the first order nonholonomic chained system using polar-like coordinates. A control method considered here can be regarded as an extension of control solution based on polar coordinate transformation in order to apply it to other system than unicycle. Presented control strategy gives possibility to obtain fast convergence of regulation errors without oscillatory behavior. A robustness of the controller in the neighborhood of the desired point is ensured via additional non-smooth techniques. In order to verify usefulness of developed control strategy simulation results are given.
The systematic conception of decentralized and self-adaptive software systems, as demanded for the run-time management of today’s distributed, multi-tier software architectures, is an active research area. Here, we d...
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The systematic conception of decentralized and self-adaptive software systems, as demanded for the run-time management of today’s distributed, multi-tier software architectures, is an active research area. Here, we discuss a coordination architecture that facilitates the enactment of externalized coordination models in Multi-agent Systems (MAS). Coordination is configured by systemic models, i.e. structures of agent-behaviour interdependencies that denote the mutual influences of agent activities. The systematic, iterative application development is supported by a non-intrusive integration approach that enables developers to adjust application dynamics by complementing agent-based applications with systemic coordination models.
Virtual systems for definition, analysis and application of product models are widely applied in development, production, and application of products. These systems provide outstanding performance in description of pr...
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Virtual systems for definition, analysis and application of product models are widely applied in development, production, and application of products. These systems provide outstanding performance in description of product information. At the same time, any modification of earlier decided product information needs contribution from the original decision maker. Otherwise new decision is to be made while the original intent is not available. The authors conceptualized a new modeling method where human intent is stored in the product model as content of modeled information. This content is applied at new decision making. Some aspect of this new modeling is introduced in this paper starting with an introduction to model based product development. Following this, a method is shown for tracking affected engineering object chains by using of change affect zone (CAZ) definition. Next, the authors propose an information content extension to product model. They studied current information based product models, recognized conflict as caused by application of information based product modeling, and decided to complete the information based product model by information content based model. The conflict is in the communication between information based modeling procedures and information content based human. The proposed modeling can be implemented as an extension to functionality and model of professional product lifecycle management (PLM) systems.
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