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In this paper the concepts of the graph of generative grammars and Lindenmayer systems are investigated. These special and-or graphs represent all information about the grammar. For regular grammars the new concept is equivalent to the finite automata. In context-free case it is an extension of the dependency graph. We also analyze how it is related to programmed grammars (using context-free rules)...
The Mojette (MOT) transform is a relatively new method for image transformation. With the use of MOT on images, multimedia files, distributed databases before information transmission became possible to reconstruct the data even if some part of information were damaged. The Mojette transform similarly to the Radon transformation calculate a group of projection on an image block. As result of this...
Intrusion detection is used to monitor and capture intrusions (attacks) into computer network systems which attempt to compromise their security. A lot of different approaches exist for statistical intrusion detection. One of them is behavioral analysis, thus in accordance with this, a model-based algorithm is presented. The paper also elaborates the way of determining the control limits of regular...
Information technological, economical, financial, legal and institutional aspects influence congestion forecast systems system setups. First, several solutions for the individual problem areas are developed and evaluated. Then, alternatives for congestion forecast systems are defined as coherent solution sets of the depicted problem areas. The information technological key issue is data quality. Successful...
Nowadays the main center of Research and Development are universities and academic institutions. The development of the Internet and network technologies made possible for research institutes to improve their cooperation and communication. The aim of this paper is to present the foundations of a uniform system for international collaboration, based on 3D Internet. The aim of the network is to create...
Localization is a main problem in most mobile robot navigation systems. One of its functions besides determining the position of the robot is to sense the surrounding environment. There are different solutions for this problem with a wide scale of complexity from local collision avoidance to global positioning systems. In this paper we will present a camera- and image processing-based global indoor...
The current work is a short review of the research results obtained by the Biomedical Engineering laboratory of the Control Engineering and Information Technology Department, Budapest University of Technology and Economics (BME) in the field of automatic control of Type I diabetes mellitus, and mainly is focused on the PhD dissertation written by the first author [1]. The topic focuses on modeling...
The chapter presents a comparison between several modern control solutions for mechatronic systems. A synthesis of the structures included in the modern based-design solutions is offered. The solutions deal with model predictive control, fuzzy control, adaptive control and combined control solutions between different control strategies and structures. Digital simulation and experimental results are...
The control of a crane carrying its payload by an elastic string corresponds to a task in which precise, indirect control of a subsystem dynamically coupled to a directly controllable subsystem is needed. This task is interesting since the coupled degree of freedom has little damping and it is apt to keep swinging accordingly. The traditional approaches apply the input shaping technology to assist...
The contribution sketches the emergence of the present day robotic art as the result and reflection of activities in fields of ancient mythology, the development of science, technology, art creativity and science fiction (both in the literature and in cinematography) in the first half of the previous century, and the convergence of art and scientific and technical development mainly during the second...
Optimization methods known from the literature include gradient techniques and evolutionary algorithms. The main idea of gradient methods is to calculate the gradient of the objective function at the actual point and then to step towards better values according to this value. Evolutionary algorithms imitate a simplified abstract model of evolution observed in nature. Memetic algorithms traditionally...
The multiple Traveling Salesman Problem (mTSP) is a complex combinatorial optimization problem, which is a generalization of the well-known Traveling Salesman Problem (TSP), where one or more salesmen can be used in the solution. The optimization task can be described as follows: given a fleet of vehicles, a common depot and several requests by the customers, find the set of routes with overall minimum...
In this paper we will show some examples for computing the possibilistic correlation coefficient between marginal distributions of a joint possibility distribution. First we consider joint possibility distributions, (1-x-y), (1-x2-y2), $(1-{\sqrt{x}-\sqrt{y}})$ and (1-x2-y) on the set {(x,y) | x≥0,y≥0,x+y≤1}, then we will show (i) how the possibilistic...
Mining frequent itemsets in databases is an important and widely studied problem in data mining research. The problem of mining frequent itemsets is usually solved by constructing candidates of itemsets, and identifying those itemsets that meet the requirement of frequent itemsets. This paper proposes a novel algorithm based on BitTable (or bitmap) representation of the data. Data - related to frequent...
This paper describes experience with NEAT (NeuroEvolution of Augmenting Topologies) method which is based on evolutionary computation and optimization of neural networks structure and synaptic weights. Non-linear function XOR approximation is tested and evaluated with this method with the aim of perspective application in humanoid robot NAO. The experiments show that selected method NEAT is suitable...
Reinforcement Learning (RL) is a widely known topic in computational intelligence. In the RL concept the problem needed to be solved is hidden in the feedback of the environment, called rewards. Using these rewards the system can learn which action is considered to be the best choice in a given state. One of the most frequently used RL method is the Q-learning, which was originally introduced for...
The new hexapod walking robot is assembly phase. It was design to overcome rough terrain using the latest numerical tests on the model. One of the likelihoods of walking on rough terrain is falling over. This posed the requirement that the robot had to be able to continue walking even after multiple falls. One of the goals was to create a control mechanism in the engine layer that will ensure optimal...
In case of non-automated examinations the evaluation of students’ academic achievements involves in several cases the consideration of impressions and other subjective elements that can lead to differences between the scores given by different evaluators. The inherent vagueness makes this area a natural application field for fuzzy set theory-based methods aiming the reduction of the mentioned differences...
Ever since the assemblage of the first computer, efforts have been made to improve the way people could use machines. This ambition is still present nowadays: indeed, intuitively operated systems are currently under intensive research. Intelligent Space (or iSpace) based systems are good examples: they strive to be comfortable and easy to use, even without demanding technical knowledge from their...
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