Enrique Personal

Random Generation of Arbitrary Waveforms for Emulating Three-Phase Systems

This paper describes an apparatus for generating a signal representative of steady-state and transient disturbances in three-phase waveforms of an ac electrical system as described in IEEE Std 1159-09. It can be configured as a synthesizer of randomly distorted signals for different applications: for testing the effects of disturbed grid on equipment and to generate patterns of electrical disturbances for the training of artificial neural networks, which are used for measuring power quality tasks. For the first purpose, voltage and current amplifiers are added in the output stage, which allows the generation of disturbed signals at grid level.

Evaluation of MPEG-7-Based Audio Descriptors for Animal Voice Recognition over Wireless Acoustic Sensor Networks

Environmental audio monitoring is a huge area of interest for biologists all over the world. This is why some audio monitoring system have been proposed in the literature, which can be classified into two different approaches: acquirement and compression of all audio patterns in order to send them as raw data to a main server; or specific recognition systems based on audio patterns. The first approach presents the drawback of a high amount of information to be stored in a main server. Moreover, this information requires a considerable amount of effort to be analyzed. The second approach has the drawback of its lack of scalability when new patterns need to be detected. To overcome these limitations, this paper proposes an environmental Wireless Acoustic Sensor Network architecture focused on use of generic descriptors based on an MPEG-7 standard. These descriptors demonstrate it to be suitable to be used in the recognition of different patterns, allowing a high scalability. The proposed parameters have been tested to recognize different behaviors of two anuran species that live in Spanish natural parks; the Epidalea calamita and the Alytes obstetricans toads, demonstrating to have a high classification performance.

Evaluation of the Processing Times in Anuran Sound Classification

Nowadays, sound classification applications are becoming more common in the Wireless Acoustic Sensor Networks (WASN) scope. However, these architectures require special considerations, like looking for a balance between transmitted data and local processing. This article proposes an audio processing and classification scheme, focusing on WASN architectures. This article also analyzes in detail the time efficiency of the different stages involved (from acquisition to classification). This study provides useful information which makes it possible to choose the best tradeoff between processing time and classification result accuracy. This approach has been evaluated on a wide set of anurans songs registered in their own habitat. Among the conclusions of this work, there is an emphasis on the disparity in the classification and feature extraction and construction times for the different studied techniques, all of them notably depending on the overall feature number used.

Heterogeneous data source integration for smart grid ecosystems based on metadata mining

A new technique based on metadata is proposed: metadata mining.An intelligent integration system for heterogeneous data sources is described.An adaptive data mining tool for the integrated data sources is proposed.Successful results are obtained in application in real data bases from research projects. The arrival of new technologies related to smart grids and the resulting ecosystem of applications and management systems pose many new problems. The databases of the traditional grid and the various initiatives related to new technologies have given rise to many different management systems with several formats and different architectures. A heterogeneous data source integration system is necessary to update these systems for the new smart grid reality. Additionally, it is necessary to take advantage of the information smart grids provide. In this paper, the authors propose a heterogeneous data source integration based on IEC standards and metadata mining. Additionally, an automatic data mining framework is applied to model the integrated information.

Industrial Fieldbus Improvements in Power Distribution and Conducted Noise Immunity With No Extra Costs

Industrial distributed control continues the move toward networks at all levels. At lower levels, control networks provide flexibility, reliability, and low cost, although perhaps the simplest but most important advantage is the reduced volume of wiring. Powered fieldbuses offer particular notable benefits in system wiring simplification. Nevertheless, very few papers are dealing with the potentials and limitations in power distribution through the bus cable. Only a few of the existent fieldbus standards consider this possibility but often simply as an option without enough technical specifications. In fact, nobody talks about it, but power distribution through the bus and conducted noise disturbances are strongly related. This paper points out and analyzes these limitations and proposes a new low-cost fieldbus physical layer that enlarges power distribution capability of the bus and improves system robustness. We show an industrial application on water desalination plants and the very good results obtained owing to the fieldbus. Finally, we present electromagnetic compatibility test results that verify improvements against electrical fast transients on the sensor/actuator connection side as disturbances usually encountered in harsh-environment industrial applications.

Estimation of the line-to-line voltage phases in MV distribution faults using transformer inrush currents

This paper proposes an innovative and comprehensive method using transformer measured inrush current during the first breaker re-close to add usefull information as fault location problem input. It is divided into the main following sections: Introduction, Magnetizing Inrush Current- A Brief Analysis, Voltage Phase Estimation Method and Conclusion. The authors insist on the importance and the availability of the fault data recorded by the line protection relay (oscillogram, COMTRADE file), with the transformer impedances knowledge, to accurately estimate voltage phases.

Automatic Lesser Kestrel's Gender Identification using Video Processing.

Traditionally, animal surveillance is a common task for biologists. However, this task is often accompanied by the inspection of huge amounts of video. In this sense, this paper proposes an automatic video processing algorithm to identify the gender of a kestrel species. It is based on optical flow and texture analysis. This algorithm makes it possible to identify the important information and therefore, minimizing the analysis time for biologists. Finally, to validate this algorithm, it has been tested against a set of videos, getting good classification results. Figure 1: Lesser Kestrels (Gray, 2016) (two females and a male). a black sub-terminal band. Conversely, female and younger ones have a more uniform appearance (typical in other common falcon), rusty with black barring and streaking, and being paler underneath. These characteristics are typically exploited by biologists to distinguish visually between males and females of this falcon species more easily. However, breeding behavior study does not refer to an isolated identification. It requires a continuous video observation of the inner nest activity for each individual (distinguishing by gender). Obviously, it is a tedious task, especially for huge amount of videos, in which it is necessary to discard great amount of useless information, with hours of bird inactivity or directly with the empty nest. Additionally, this problem is accentuated for a colony, where this study must be repeated for several nests. Therefore, an automation of this video

Challenges for citizens in energy management system of smart cities

Much has been written about the rapidly emerging, the disruptive impact being detected on every aspect of how machines and their operational technology communicate with one another, with the underlying information technology platforms. Within the smart city exists an infrastructure of interconnected objects, people, systems, and information resources together with intelligent services to allow them to process information on the physical and the virtual world. In this paper, the authors talk about the advantages and the uses of these technologies in the smart city and the new challenges of citizens to reduce energy consumption and global warming. This paper attempts to address these new approaches and the requirements involved and to articulate it in a concise and concrete way. The aim is to assist decision makers, architects, developers, and implementers in changing the character of the smart city initiatives from ones based on simple transformation to ones involving play shifts in the way that devices are identified, management and controlled.