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The paper discusses effective implementation of Earley parser for structural methods of recognition of randomly deformed object. Initially, basics of Earley parser are described. Further, ways of effective implementation and improvements of this method are described, mainly using prediction look-ahead and grammar optimization for improvement of the analysis. Finally, results of this method are evaluated.
There are many different algorithms for optimization of logistic and scheduling problems and one of the most known is Genetic algorithm. In this paper we take a deeper look at a draft of new graph-based algorithm for optimization of scheduling problems based on Generalized Lifelong Planning A* algorithm which is usually used for path planning of mobile robots. And then we test it on Traveling Salesman...
In this paper we present a time behavioral analysis of a simulated botnet network traffic, collected and discovered from NetFlow messages. More specifically said - lifespans. The technique, which we used, is focused on to model command and control communication in a botnet network. The lifespan of this referred traffic is modeled by lifelines using Python language.
Many uncertainties can be found in the classification of remotely sensed data. Namely they can arise in defining classification classes. We use two ways, incorporating acquired Corine Land Cover labels and our manually annotated labels. We are describing several visualization possibilities to demonstrate uncertainties in labels and their connections with classification results. We use parallel coordinates...
The paper discusses ensuring invariances for the structural methods of recognition of randomly deformed object. Initially, the types of invariances are described. Further, the ways of effective ensuring all types of invariances are described, mainly using automatic selection of point of description origin, differential primitives and object rotation. Finally, the results of this method are evaluated.
The article describes the endpoint security of xDSL modems (routers), outlines the set of tests performed by our team and provides test results. Described vulnerabilities can be exploited to perform a wide DoS attack against ISP's customers. The vulnerabilities have been identified in the Ethernet layer, IP platform layer and in the TCP protocol implementations. All described vulnerabilities can be...
This paper describes classification of sound recordings based on their audio features. This is useful for querying large datasets, searching for recordings with some desired content. We use musical recordings as well as birdsongs recordings, which usually have rich structure and contain a lot of patterns suitable for classification. We present two different classification methods, one for musical...
Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control - based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.
The authors have for long been interested in the design of the network element for multimedia networks. The designed network element is not controlled sequentially, as is still usual in neural networks. In this contribution the Back Propagation and the Genetic Algorithms are compared with respect to the control of neural networks.
The objective of this research and paper is an introduction to multimedia signals compressions under ISDN. Compression and following expansion, in agreement with standard, will be simulate with the help of programme MATLAB. Author's contribution is codec G.723.1 by MATLAB simulation. The ITU-T block structure is observed. Codec realization in MATLAB is applied on test speech signal and results were...
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