Silviu Ionita

The Fuzzy Model for Aircraft Landing Control

This paper deals the issue of aircraft landing maneuvers from the fuzzy logic perspective. Generally this part of flight needs to be strongly assisted by human pilot. Our purpose is to evaluate the output parameters from a fuzzy system. We have developed a fuzzy control model for three kinematics parameters to do a suitable landing control. We have tried to demonstrate the potential of fuzzy rules based control systems for high precision maneuvers. Features, the approximate reasoning and precision could be simultaneously reached by empirical refining of the fuzzy model. All in all, the result of our work aims to develop the appropriate models for the complete automates of landing process and related tasks.

A chaos theory perspective on system's failure

Abstract This paper suggests some approaches to theoretical aspects on the chaotic sensitiveness of systems with implications on their reliability and proposes a methodology for discovering their failing susceptibility. Besides the classical statistic method of reliability we also use the causal relationships analysis. Thus, the analytic study of the deterministic chaos in dynamic systems is a useful issue. We refer here to deterministic chaos as a general modeling technique of the failing process in assemblies and components. The subject is focused on the technical systems, but the exposed principles are valid for any kind of system. The paper discusses relevant aspects of systems failing as follows: the oscillation of cause and effects, the recurrence of states as well as the sensitivity of systems by initial states. In this context, the system’s failure is considered as stability loss by chaotic behavior.

Block Encryption Using Hybrid Additive Cellular Automata

With the ever-increasing growth of data communication, the need for security and privacy has become a strong necessity. In these conditions, the necessity of new powerful encryption techniques becomes a crucial issue. In this paper Cellular Automata (CA) are applied to construct cryptography algorithms. We present an encryption system implemented on a structure of Hybrid Additive Cellular Automata (HACA) used for securing the medical data sent over the internet. The experimental results prove the power of cellular automata encryption systems. The method supports both software and hardware implementation. In this paper we present a fully functional software application for the data encryption of multimedia medical content.

FPGA Implementation of Hybrid Additive Programmable Cellular Automata Encryption Algorithm

This paper presents a hardware implementation in a FPGA circuit of an efficient encryption algorithm based on hybrid additive programmable cellular automata (HAPCA). We present a novel approach for a high-speed encryption system prototyped using a single FPGA. The approach is based upon a one-dimensional HAPCA architecture. A regular, modular, and cascadable hardware implementation of the cellular automata encryption algorithm has been implemented, which is efficient in terms of VLSI technology. The encryption algorithm based on the theory of cellular automata was realized using simple digital circuits and memory, and we implemented it on an emulation platform based on FPGA circuit. The experimental results prove the powerful of cellular automata encryption systems. The design has been specified in VHDL targeted on a XILINX XC3S400 based FPGA and verified for functional correctness by software simulation.

Surveillance system using IP camera and face-detection algorithm

This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the process of saving the live stream as a video file. The algorithm for face-detection is based on the integral image (summed area table) - a model which allows the calculation of the sum of all pixels values from any rectangular area in the original image by doing only four operations of addition or subtraction. In addition, the application also includes a file containing data about needed tests in the detection algorithm by analyzing multiple images as templates. The application is written in C# language and experimental results are presented for images with different sizes and backgrounds.

FPGA Implementations of Cellular Automata for Pseudo-Random Number Generation

This paper present a hardware implementation in a FPGA circuit of an efficient pseudo-random number generator based on cellular automata. We demonstrate in this paper how microscopic (local) interactions influence the overall macroscopic (global) behavior of the whole system. We highlight the possibility to build the evolutionary systems on such a simple mathematical model as a cellular automata space by introducing the rules of evolution of individuals, their interaction, and their robustness to variations of the model. A regular, modular, and cascadable hardware implementation of the generator has been implemented, which is efficient in terms of VLSI technology. The design has been specified in VHDL targeted on a XC3S400 based FPGA and verified for functional correctness by software simulation

Multi Agent Holonic Based Architecture for Communication and Learning about Power Demand in Residential Areas

One of the very sensitive issues in the management of electrical energy consists in real time acquiring of the pattern consumption. Based on a systemic approach, we propose in this paper an agent-oriented architecture which is able to collect and to communicate efficiently the data in order to perform the knowledge extraction on power demand. In particularly, the holonic approach is proposed for structural modeling for such kind of large-scale complicated system. The issues related on knowledge management are pointed out in the context of electrical delivery to the residential areas, in terms of multi agent holonic systems. This approach opens the perspective towards the cognitive power networks including sensing, awareness of, learning about, and adapting to demands.

VLSI Implementation of High-Speed Cellular Automata Encryption Algorithm

This paper present a hardware implementation in a FPGA circuit of an efficient encryption algorithm based on cellular automata. We demonstrate in this paper how microscopic (local) interactions influence the overall macroscopic (global) behavior of the whole system. A regular, modular, and cascadable hardware implementation of the encryption system has been implemented, which is efficient in terms of VLSI technology. The experimental results prove the powerful of cellular automata encryption systems. The method supports both software and hardware implementation. The design has been specified in VHDL targeted on a XC3S400 based FPGA and verified for functional correctness by software simulation.

HIGH-SPEED PCA ENCRYPTION ALGORITHM USING RECONFIGURABLE COMPUTING

In this work, an originally bio-inspired cryptosystem is developed. It is based on the use of cellular automata (CAs) as pseudorandom bit generators and programmable cellular automata (PCA) to construct the block ciphering functions of the proposed enciphering scheme. The cryptosystem is featured by resistance on different types of attacks and high speed due to the cellular automatas parallel information processing property. The proposed architecture could be efficiently implemented in reconfigurable hardware like field programmable gate arrays (FPGAs) and could be applied in high-speed data communication. The project was implemented in two experimental hardware platforms based on Spartan 3 XC3S400fg456-4 and XILINX Spartan 3E XC3S500E.

Field-programmable analog filters array with applications for fuzzy inference systems

Encouraged by the recent progress in the FPAA technology, we propose a flexible membership functions synthesis method based on the configurable filter blocks. Based on the actual paradigm of FPAA we consider an interesting and promising idea to implement the membership functions using the frequency-response curves of the analog filters. The other specific functional blocks can be implemented with programmable analog structures obtaining a complete unit for fuzzy inference processing.