Abstract: In 2007, one among the founders and internationally most recognized leading pioneers of the field of Artificial Intelligence and Cognitive Science, professor emeritus at Massachusetts Institute of Technology, Marvin Minsky celebrates his 80th anniversary. Exploiting thnis opportunity, the article overviews his contribution to the above mentioned fields (and might be also to some others), and sketches an (obviously incomplet) picture of the history of Artificial Intelligence and related disciplines, and a specific way of doing science, too.
Keywords: artificial intelligence, cognitive science, artificial neural network, theory of computation, emotion, frame representation of knowledge, society theory of mind, robot
Abstract: In this paper we present a new approach to compose and decompose functions. This technology is based on pliant concept. We use the proper transformations of Conjunction of Sigmoid function to create an effect. We aggregate the effects to compose the function. This tool is also capable for function decomposition.
Keywords: Pliant concept, Sigmoid, Conjunction, Aggregation, Dombi operator
Abstract: Improving the safety of the traffic is a social interest. Accidents are not only caused by poor technical conditions of the vehicles, but also by tired, indisposed, or bad state-of-minded drivers. The managing of human factors needs the control, recording and monitoring of the most important vital parameters of the driver. The paper presents such a system, which is based on ECG recording and needs no or little cooperation of the driver.
Keywords: phiysiological signal measurement, on-line monitoring, vehicle on-board data collection, ECG, pulseoximetry, bluetooth communication
Abstract: For humans and visual animals vision it is the primary and the most sophisticated perceptual modality to get information about the surrounding world. Depth perception is a part of vision allowing to accurately determine the distance to an object which makes it an important visual task. Humans have two eyes with overlapping visual fields that enable stereo vision and thus space perception. Some birds however do not have overlapping visual fields, and compensate this lask by moving their heads, which in turn makes space perception possible using the motion parallax as a visual cue. This paper presents a solution using an opto-mechanical filter that was inspired by the way birds observe their environment. The filtering is done using two different approaches:using motion blur during motion parallax, and using the optical flow algorithm. The two methods have different advantages and drawbacks, which will be discussed in the paper. The proposed system can be used in robotics for 3D space perception.
Keywords: depth perception, parallax motion, rotating persicope, motion blur, optical flow
Abstract: This paper presents the recent biomedical engineering research activity of the Medical Informatics Laboratory at the Budapest University of Technology and Economics. The research projects are carried out in the fields as follows: Computer aided identification of physiological systems; Diabetic management and blood glucose control; Remote patient monitoring and diagnostic system; Automated system for analyzing cardiac ultrasound images; Single-channel hybrid ECG segmentation; Event recognition and state classification to detect brain ischemia by means of EEG signal processing; Detection of breathing disorders like apnea and hypopnea; Molecular biology studies with DNA-chips; Evaluation of the cry of normal hearing and hard of hearing infants.
Keywords: biomedical systems, physiological models, image analysis, signal processing, detection algorithms
Abstract: The mobile robot development can be done in two different ways. The first is to build up an embedded system, the second is to use ‘ready to use’ industrial components. With the spread of Industrial mobile robots there are more and more components on the market which can be used to build up a whole control and sensor system of a mobile robot platform. Using these components electrical hardware development is not needed, which speeds up the development time and decreases the cost. Using a PLC on board, ‘only’ constructing the program is needed and the developer can concentrate on the algorithms, not on developing hardware. My idea is to solve the problem of mobile robot localization and obstacle avoidance using industrial components and concentrate this topic to the mobile robot docking. In factories, mobile robots can be used to deliver parts from one place to another, but there are always two critical points. The robot has to be able to operate in human environment, and also reach the target and get to a predefined position where another system can load it or get the delivered product. I would like to construct a mechanically simple robot model, which can calculate its position from the rotation of its wheels, and when it reaches a predefined location with the aid of an image processing system it can dock to an electrical connector. If the robot succeeded it could charge its batteries through this connector as well.
Keywords: Autonomious Mobile Robot, Localization, Image processing, Industrial, PLC system, Servo Drive, Mobile robor docking
Abstract: Small turbojet engines represent a special class of turbine driven engines. They are suitable for scientific purposes and research of certain thermodynamic processes ongoing in turbojet engines. Moreover such engines can be used for research in the area of alternative fuels and new methods of digital control and measurement. Our research, which is also presented in this article, is headed toward these aims. We evaluate and propose a system of digital measurement of a particular small turbojet engine – MPM 20. Such engine can be considered as highly non-linear large scale system. According to obtained data and experiments we propose different model models of the engine and design of situational control algorithms for the engine with use of certain methods of artificial intelligence as new methods of control and modeling of large scale systems.
Abstract: Teamwork is the typical characteristic of software development, because the tasks can be splitted and parallelized. The independently working developers use Software Configuration Management (SCM) systems to apply version control to their files and to keep them consistent. Several SCM systems allow working on the same files concurrently, and attempt to auto-merge the files in order to facilitate the reconciliation of the parallel modifications. The merge should produce syntactically and semantically correct source code files, therefore, developers are often involved into the resolution of the conflicts. However, when a general textual-based approach reports a successful merge, the output can still be failed in compile time, because semantic correctness cannot be ensured trivially. Renaming an identifier consists of many changes, and can cause semantic errors in the output of the merge, which subsequently have to be corrected manually. This paper introduces that matching the identifier declarations, e.g. class, field, method, local variables, with their corresponding references in the abstract syntax trees of the revisions, and considering the detected renamings during the merge takes closer to semantic correctness. The problem is illustrated and a solution is elaborated in this work.
Keywords: Three-way Merge, Abstract Syntax Tree, Refactoring, Renaming Identifiers, Semantic Errors
Abstract: Algorithms to determine the minimum zone straightness and flatness have been successfully established by a number of researchers. This paper after presenting algorithms based on techniques borrowed from computational geometry focuses on the robustness and simplicity of the mathematical techniques. As the most resource consuming part of these algorithms is the determination of the convex hull, both in two and three dimensions, emphasize is given to them. Subsequently the complexity and implementation issues are discussed. The paper outlines an application using the described algorithms.
Keywords: Minimum zone methode, straightness, flatness, coordinate measuring, evaluation software
Abstract: Safe and optimal operation of complex production processes is one of the most important research and development problems in process engineering. This problem is the most relevant at the design of the optimal feeding profile of fed-batch chemical reactors due to the nonlinear and unstable dynamical behavior of the processes. This paper shows that how the optimal feeding policy can be determined in fed-batch reactors by sequential quadratic programming, classical evolutionary strategy (ES) and the advanced version of ES that is based on covariance matrix adaptation. A multi-objective function was created and the search space was constrained in case of all of the three applied algorithms. The switching times between states in the feeding trajectory and the feed rates in each state were manipulated to find the global minima of the objective function. To obtain the optimal feeding policy the first-principle model of a pilot fed-batch reactor was implemented in MATLAB and applied as a dynamic simulator of the process. Off-line optimization process was carried out in case of different dosing time distribution. As the results show a significant improvement can be achieved in process performance applying advanced ES based optimization algorithms to generate feeding trajectories.
Keywords: optimization, fed-batch reactor, quadratic programming, evolution strategy
Abstract: Present paper continues the researches on cognitive system design. The goal of the paper is to illustrate the variety of models which can be constructed using the Bayesian plausible reasoning theory. The first case study develops a classical inverse kinematical model into a Bayesian model. The second case study models the human reasoning presented by the famous story of Sun Tzu: ‘Advance to Chengang by a hidden path’.
Keywords: model, Bayesian theory, plausible reasoning