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In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation, referred to as multi-step knowledge-aided iterative estimation of signal parameters via rotational invariance techniques (ESPRIT) method (Multi-Step KAI-ESPRIT), which achieves more accurate estimates than those of prior art. Differently from current knowledge aided methods, which make use of available known...
On the side of enhancing the execution of skills, specialists in sports are adopting analysis of kinematics to correct actions of an athlete. By means of technological resources used to measure physical variables and to supply relevant data to trainers, results related to improvements on athletes' performance are being achieved. In this context, this work uses the Radial Basis Function Neural Networks...
Smart Cities aim to improve living conditions by enabling new intelligent services for citizens. These services typically require environmental awareness obtained from distributed sensing systems. The implementation of such sensing systems on a city-wide scale is challenging, as the number of sensors needed can become unpractical. In this paper, we evaluate the utilization of mobile sensors as a possible...
Intelligent Transportation Systems (ITS) are based on the intelligence placed on roadside units and onboard vehicles. ITS technologies, like connected cars, improve road safety by having vehicles communicating with each other, with the infrastructure, or both. The communication uses the 5.9 GHz band, called Dedicated Short Range Communications (DSRC), and protocols defined in the Wireless Access in...
The current Portuguese Tariff Code dates from December 2014 and requires that the Distribution Network Operators (DSO), submit to the Portuguese Energy Services Regulatory Agency, ERSE, a plan for a pilot experiment and a Cost Benefit Analysis (CBA) regarding the introduction of dynamic options in the Access Tariffs in Portugal. In view of this request, EDP Distribuição, the main Portuguese DSO, established...
This article aims to apply the concepts associated with artificial neural networks (ANN) in the control of an autonomous robot system that is intended to be used in competitions of robots. The robot was tested in several arbitrary paths in order to verify its effectiveness. The results show that the robot performed the tasks with success. Moreover, in the case of arbitrary paths the ANN control outperforms...
Delay and Disruption Tolerant networks (DTNs) are an alternative means of providing Internet access to remote communities, where there is a lack of a telecommunications infrastructure. Communication in this scenario is carried out through opportunistic encounters between nodes, called contacts, in which messages are forwarded to the destination. Predicting information about a contact, at the time...
In this work, a systematic method for self-tuning fuzzy PID control for SISO and MIMO systems is developed with practical application. The procedure consists in fuzzy self-tuning the parameters of a conventional PID controller located in the forward loop of the process. Fuzzy rules are used to determine the set of PID gains, based on the representation of human knowledge on how the margin of gain...
Edge die yield is becoming critical as semiconductor manufacturing fabs attempt to save costs and reduce wafer edge exclusion to produce more good die per wafer. As a consequence, wafer edge defect inspection and metrology applications are now critical components of the overall yield management strategy in advanced semiconductor fabs. Photolithography is the area most affected by defect formation...
A machine learning approach is presented in this study to automatically construct motion detection programs. These programs are generated by genetic programming (GP), an evolutionary algorithm. They detect motion of interest from noisy data when there is no prior knowledge of the noise. Programs can also be trained with noisy data to handle noise of higher levels. Furthermore, these auto-generated...
Many detection techniques against worms, denial of service attacks and botnets on the Internet have been developed. It is difficult to detect these threats if the malicious traffic has insufficient intensity, which is usually the case. To make the problem worse, legitimate Internet services behaving like worm and complexity network environments undermines the efficiency of the detection techniques...
The purpose of this paper is to evaluate not only the impact of CO2 emissions trading on the Iberian electricity market (IBELM) power industry, but also the likelihood for the reduction in the electricity sector emissions. A simulator for electricity and carbon markets (SIMEC) was developed for that purpose. Given the system power plants characteristics, demand data and CO2 allowance prices, SIMEC...
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