New methods to detect Non-Technical Losses on power utilities

Abstract: A non-technical loss is defined as any consumed energy or service which is not billed because of measurement equipment failure or ill-intentioned and fraudulent manipulation of said equipment. This paper describes new approaches to the detection of these for electrical companies. Concretely two different methods are proposed: one based on the detection by means […]

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Normalised expert knowledge in OSI management standard

Abstract: In telecommunication area, the equipment to manage is very diverse, with many different technologies and vendors in the market. This characteristics lead to open solutions for intelligent management that allow interoperability between management systems. In this paper we have carried out a study for the improvement of intelligent administration techniques is telecommunications networks. The […]

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AI techniques applied to an ionospheric radio communication system

Abstract: This paper describes the work accomplished to develop an automatic ionospheric radio communications system based in an expert system applied to the frequency management and radio sets control of a digital communication system using the High Frequency band (HF), with frequencies between 3-30 MHz. The proposed expert system activates an ionospheric propagation forecast program […]

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An electrical pattern generator for neural network training

Abstract: Power Quality is defined as the study of the quality of electric power lines. The detection and classification of the different disturbances which cause power quality problems is a difficult task which requires a high level of engineering expertise. Thus, neural networks are usually a good choice for the detection and classification of these […]

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Integration of Expert Rules of management in standard GDMO.

Abstract: The modern management telecommunications networks must satisfy the every time greater demand of operation. Exigencies and users qualities are also and important aspect to consider. In this paper we will attempt to show that such complexity can be resolved if an integration of expert system and the proper definition of the telecommunication network are […]

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Computer cursor position controlling by eye movements using algorithms and neural networks.

Abstract: The aim of this paper is to present a system for controlling the cursor position in a computer by human eye movements. The developed system uses a two-axis voltage measure obtained by an infrared light reflection procedure to determinate the cursor position into a computer screen. Two approaches are compared, an algorithmic approach using […]

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