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The paper proposes a solution for measuring the current consumption on the transmission lines for detecting the losses that may occur. The solution is non-invasive: the sensors determine the current by analyzing the electric field around the isolated conductor, it is fully mobile and easy to install: sensors are “clamp” type and can be placed on insulated conductors, data is transmitted wirelessly...
Today, the audio systems become more performant and powerful using direct radiator loudspeakers realized in advanced technologies to achieve a high fidelity of the sound in a smaller box. Due to the increasing of the power and miniaturization, the system radiator became exposed to degradation. This can be prevented by integrating a fault detection system that monitories continuously the system radiator...
This article presents a “smart sound sensor” solution. More specifically it is a system on a chip capable of extracting sound patterns from an input signal captured by a microphone, patterns that correspond to certain musical instruments. The aim is to identify sounds like: voices, ambient sounds or musical sounds. Such applications generally involve the presence of a computer that analyzes offline...
In the delimitation of flood-prone areas, particularly in areas that are difficult to access using traditional flight equipment, the most critical problem is the generation of a high-quality DEM of the major and minor riverbed, in order to obtain several hydraulic parameters (e.g., the surface of the drainage section, average water velocity) with equivalent accuracy. The chosen area for the case study...
This article presents a solution for tracking a mobile system using an artificial neural network. The mobile system collects data from the environment using an ultrasonic transmitter and receiver then data is processing using a binary artificial neural network. Some templates have been pre-loaded into the system to avoid blockages or additional routes. The solution is implemented on a SOC manufactured...
In this paper the authors propose a solution in which an intelligent algorithm - genetic algorithm in our case - is used to generate commands for a robot in real time, so that the robot can determine the optimal moves considering several aspects: route tracking and low power consumption. Genetic algorithms are intelligent solutions for multi-criteria optimization and using them to find solutions to...
The system presented in this paper consists of an image acquisition module from a video camera, an image processing module, which performs conversion to monochrome format, and a neural network that takes the acquired images and performs the extraction of patterns from them. The system proposed by the authors is used for recognizing the orientation of objects in real time by analyzing images from a...
We present in this paper a method of increasing both the storage capacity of Hopfield neural networks and their capability of error correction. The presented method uses the general principles of generating error-correcting codes in information theory combined with a gradient - an heuristic algorithm. Using this method, there are registered improvements in the growth of network storage capacity (number...
Low Density Parity Check (LDPC) coding is a classical method for the detection and correction of errors. Its problem is the relatively complex operations which must be performed at encoding, and especially at decoding, to detect and correct errors caused by communication channels. We present a solution for the errors correction using regular LDPC and Hopfield network-based associative memories. Our...
The objective of this article is the implementation of an effective control system for a heliostat field. Each heliostat is based on a mirror and a routing system. Such a field of mirrors must be guided in order to focus the rays to a central captor device (usually placed on a tower). The efficiency of the system depends on the orientation control of mirrors on two axes (North-South and East-West)...
The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation,...
This paper presents a solution of design and implementation of a hardware error correction and detection system using associative memories. This type of memory allows search of a stored binary value, having as an input data a partial (or modified) amount of this value. This property can be used in communication, for detection and correction of errors. In our experiments the encoder just associate...
This paper presents a solution of design and implementation of a hardware error correction and detection circuit using associative memories. This type of memory allows search of a stored binary value, having as an input data a partial (or modified) amount of this value. This property can be used in communication, for detection and correction of errors. In our experiments the encoder just associate...
Our paper presents a solution for designing and implementation of a hardware error correction and detection circuit using associative memories. Associative memories allow the searching of a binary stored value, having as an input data a partial (or modified) amount of this value. This associative memories' property can be used in communication for detecting and correcting the errors encountered in...
In this paper we present an evolvable hardware structure based on a Boolean functions network implemented with the basic multiplexer circuit and configured by a hardware genetic algorithm. Even if evolvable hardware is a large research area (beginning in 1996) the main problem which remains is integration in one single chip of the entire system which consists in reconfigurable circuit and the evolvable...
Forward error correction (FEC) and automatic request (ARQ) are common techniques used to treat transmission errors when data are transmitted over noisy channels. In practical applications where feedback is possible, ARQ technique are often more preferable than FEC schemes because error detection requires much simpler decoding equipment and achieves a higher reliability than does error correction....
In this paper is presented an efficient implementation of the Rivest, Shamir and Adleman (RSA) algorithm as a prototype programmable structure Xilinx Spartan3 to be integrated on an Application Specific Integrated Circuits (ASIC) structure. The purpose of this implementation was the optimization of the Field Programmable Gate Array (FPGA) area used. The paper describes the structures of the constituent...
The content addressable memory (CAM) is allowed to search a data without knowing its address as to common memories. In addition, it allowed associating the content of the location or neighboring locations where the data word was identified. A problem that occurs to this type of memory is implementation complexity. A possible solution is to use a hardware implemented Hopfield neural network. This paper...
In this paper we present a solution for designing a Reed-Muller decoder using associative memories based on Hopfield networks. The decoding with classical methods requests high computation resources and needs longer response times. Our solution implies the usage of associative memories in the decoding process, this method being more efficient than the classical ones.
The content addressable memory (CAM) is allowed to search a data word without knowing where its address is. In addition, it is permissible to associate the content of the location or neighboring locations where the data word was identified. This paper presents our own approach for VLSI hardware implementation of the CAM memory. The proposed solution uses a Hopfield neural network model and is characterized...
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