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The convolution turbo code (CTC) has large memory power consumption. To reduce the power consumption of the state metrics cache (SMC), low-power memory-reduced trace back maximum a posteriori algorithm (MAP) decoding is proposed. Instead of storing all state metrics, the trace back MAP decoding reduces the size of the SMC by accessing difference metrics. The proposed trace back computation requires...
The failures auto-sensing becomes increasingly essential in the complex systems exploitation. This article consists in working out a system of defects diagnosis based on an artificial intelligence technique which associates fuzzy logic with neural networks. The method is applied to obtain the DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems). This...
With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. Many methods have been proposed for the development of intrusion detection system using artificial intelligence technique. In this paper we will have a look at an algorithm based on neural networks that are suitable...
This paper presents a clutter reduction system when medium-high correlated Weibull-distributed clutter governs the environment of a coherent radar system. This proposal is based on the capabilities of learning of some artificial intelligence techniques, such as the neural networks. This capability of learning of the neural networks is used to learn some statistical characteristics of the radar environment...
Electricity market liberalization gives the opportunity to customers to choose their electricity supplier. In this new circumstance more exact knowledge of consumer behavior is essential for designing specific pricing strategies, where the pricing considers the consumption patterns from various types of customers. In our paper artificial intelligence techniques (self-organizing maps, neural networks)...
Random variations of the bus voltage and power consumption of an electric arc furnace (EAF) have a significant impact on power generation equipment, transient stability of the power system network and power quality to other interconnected loads. Therefore, an accurate representation of the load's dynamic behaviour under various system disturbances is very important. This paper presents an arc furnace...
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