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The functional diagnosis expert system based on knowledge base in the form of neuro-fuzzy network was proposed in this paper. Current values of diagnostic parameters are measured by sensors. The hybrid expert diagnostic system with neuro-fuzzy network knowledge base supports decisions in the situation when the diagnosis algorithm is not known and is formed from the initial data in the form of production...
The development of intelligent systems to support maritime situation awareness is the main goal of the SEAGULL project. By equipping unmanned aerial vehicles (UAVs) with different types of optical sensors we target an intelligent maritime surveillance system. In this paper we present experiments performed with an hyperspectral camera to detect oil spills. We have developed a detection algorithm that...
Wireless Multimedia Sensor Networks (WMSNs) are composed of the number of video, audio, and scalar sensors which the proposed method is investigated on sensors equipped to cameras. In this paper a new method distributed is introduced for enhancing the environmental multimedia sensing coverage and recording in wireless multimedia sensor networks. In the proposed method nodes are prioritized and selected...
Detecting state change processes of appliances is very useful when optimizing a system's energy management. The term “state change” implies an appliance shifts operation from one state to another; the simplest example is the process in which the appliance switches between an “on” and “off” state. This paper proposes a multilevel threshold detection method that can provide a way to detect state changes...
The exponential nature of the technological progress, along with the need for smaller and mobile computers led to the emergence of embedded devices like Raspberry Pi or Beaglebone Black. The main difficulty in using these embedded devices is that the device must be physically connected to a regular computer in order to be programmed to do useful work. This thesis presents a platform named Wyliodrin...
Mobile and ubiquitous technologies offer unique potentialities to develop environmental education activities. This paper presents the preliminary results of a project developed with children aged between 6 and 12, which explored the vine cycle over one year, visiting farms in the Dão vineyard area. Mobilizing a framework that integrates authentic and meaningful learning with situated cognition, it...
Visually Impaired (VI) and blind people suffer from reduced mobility, as they cannot detect the terrain and their environment. They always need assistance and walking support systems in their daily life. Solutions have been proposed many decades ago and are rapidly improving nowadays due to the technology evolution and integration. A large number of assistance aids have been deployed in real life...
Currently, cloud computing offers flexible, dynamic and cost effective computing outsourcing, but it limits these economic and operational benefits to non real-time and non safety-critical systems. This is because of the lack of alternative control, supported by current cloud infrastructures, in case of a broken cloud link. While steps have been taken in using cloud infrastructures for soft real-time...
Time delay estimation is the basis of the localization algorithm for partial discharge (PD) based on time difference in GIS, and it is the key to the accuracy of localization. In this paper, the theory of fractional Hilbert transform for time delay estimation is described. Based on fractional Hilbert transform, a method for estimating the time delay of GIS ultra high frequency partial discharge is...
Software-defined radio (SDR) is used in several areas, such as the verification and implementation of radio prototypes. The SDR environment is generally configured with an analog-to-digital converter (ADC) and a personal computer (PC). However, since ADCs and PCs are fixed configurations, reconfigurations are needed in order to respond to different data sources and computing environments when the...
This paper is a part of work on the attempt to implement the continuous control system which dynamically derives the control law during its operation, on basis of a model-based control algorithm. The measurements obtained from the sensors are dynamically included or excluded depending on the availability of individual sensors. The prototype application was developed in the JADE environment, and its...
The use of plasmonic nanostructures for enhancing light/matter interaction has been of great interest lately for several applications. In this talk, a new platform based on mode engineering in plasmonic nanoantenna arrays for strong light-matter interaction (compared to conventional plasmonic structures) is presented. By combining lattice plasmon modes with local surface plasmon polaritons in these...
While most health systems serve the majority of their citizens well, each has its challenges and gaps that lead to inadvertent marginalization of certain populations. The engagement of traditional stakeholders in health - policy makers, patients, health professionals, health administrators - to address these issues are necessary but insufficient if unconventional solutions are to be discovered. Use...
This paper addresses learning analytics for evaluation of learners performance in remote laboratories. The objectives we identified to provide self-and social awareness while learners are practicing in their virtual learning environment are threefold: (1) the definition of a performance metric that requires no assessment tests, (2) the tracking of data to infer that metric in real time, and (3) the...
The paper is devoted to an analysis of a one-year-long period of operation of a honeynet composed of 6 Dionaea honeypots emulating Windows services. The analysis focused on the frequency of attacks according to the location of individual honeypots (sensors) as well as to the geographical location of attackers. From the statistical processing of the results, it was demonstrated that the most frequently...
Depression is a public health problem that has high effects on a person's functional and social relationships. Depression is a growing problem in the society. It causes pain and suffering not only to patients, but also to those who care about them. Depression disorder is hard to diagnose, because its symptoms could be confused with other disorders and has different cross-cultural symptoms. This paper...
Deep sub-micrometer CMOS technologies drive a large proportion of innovation in many industries, including transport, communications, biological sensors, and medical systems. The trend nowadays is to integrate analog/RF circuits together on the same die with the digital processor and memory in advance process nodes. A major challenge is that the amount of process variation becomes particularly pronounced,...
Learning Analytic (LA) systems are aimed at supporting teachers in understanding the learning process by analyzing the information and the interaction of students with computer systems. In the case of a project-based learning process there is a need of introducing measure the student' activity as acquired via multiple modalities and then processed. The acquisition and processing needs to take into...
Cognitive radio is an innovative technology which seeks to provide a new way to extend utilization of available spectrum. The spectrum detection is an essential problem for cognitive radio. Spectrum sensing is an efficient way to detect spectrum holes in cognitive radio network. In this paper, we present cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network...
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