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In this paper, we present measurements of the optimum signal-to-noise ratio distribution recorded by RFID reader based on software radio. The measurements are conducted in an indoor environment while maintaining an RFID setup that does not deteriorate the tag responsiveness. The analysis shows that, although non-linear in nature, the RFID system signal-to-noise can be characterized through the scale...
Current manually-operated SOS systems used in Rallying are ineffective when driver and co-driver cannot push the SOS button due to loss of consciousness after the impact. The SafeRally service proposes a low-cost pilot monitoring system, to associate with existing tracking systems, able to automatically notify a serious accident, when both the driver and the co-driver cannot request help by themselves...
While the Global Positioning System (GPS) tends to be not useful anymore in terms of precise localization once one gets into a building, Low Energy beacons might come in handy instead. Navigating free of signal reception problems throughout a building when one has never visited that place before is a challenge tackled with indoors localization. Using Bluetooth Low Energy1 (BLE) beacons (either iBeacon...
Low Power Wide Area (LPWA) networks present a new communication paradigm in wireless sensor networks. Their ability to convey information over larger geographical areas, while still enabling low-power consumption and longer lifetime, gives them a special place in realization of Internet of Things (IoT) systems and applications. Compared to traditional cellular networks and other short range technologies...
In this paper, we propose a novel approach for an automatic aerial image georeferencing for an unmanned aerial vehicle (UAV) image data acquisition platform that does not require the use of ground control points (GCPs). The determination of GCPs is, in general, a costly and slow process, hence a considerable bottleneck in georeferencing. With predefined route planning and making a mosaic of acquired...
This paper presents a visual comfort considered light control method for energy savings in open-plan office and investigates its performance. Simulation and pilot testing results show that more than 60% energy savings could be achieved while providing recommended visual comfort level for each user. Since the proposed algorithm saves energy significantly compared to the previous light control policies...
Analysis of electroencephalographic (EEG) signals using both non-iterative and iterative modifications of the Rényi entropy, called local or short-term Rényi entropy, often requires thresholding in the time-frequency domain. The purpose of this thresholding is to reduce noise and low-energy cross-terms prior to detecting the number of components present in multicomponent EEG signals. However, preset...
3D-printing technology promises high added value in many scientific contexts, including that of new materials for electromagnetics. The joint use with Radio Frequency Identification (RFID) technology is very appealing for designing new RFID-based smart devices while maintaining cost-effectiveness. In this work a T-Resonator structure for the dielectric characterization of substrates, including 3D-printed...
Social media are increasingly used with different purposes, ranging from attempts to reach wider audiences, to attract different publics, to propose alternative means for interaction with citizens and/or other stakeholders. Apparently, there is an immense list of possibilities and there is potential to explore social media as one of the vehicles for providing smart governance for smart cities taking...
Since its definition, RPL (the IPv6 Routing Protocol for Low-Power and Lossy Networks) has been emerging as the standard protocol for routing in Internet of Things (IoT) solutions. RPL is a proactive routing protocol that performs the process of route creation based on Objective Functions (OFs). The OFs are responsible for defining rules and constraints to select the best paths considering different...
We present a method for estimating overheating of a partially covered solar cell module by use of short-circuit current measurement combined with infrared thermography. The resulting analysis allows for predictive calculation of over-heating and thus prevention of damage to the solar cell module due to partial shadow induced overheating.
Machine learning is a useful method to assess biomedical data. However, due to the complexity of these data, it is important to rely on a robust methodology. Predictions with machine learning are not only an add-on to statistical analysis but are a real process of discovering and establishing clinical validity of the diagnostic techniques. This paper describes a machine learning approach to predict...
Internet of Things (IoT) domain represents an interconnection of large number of devices and is becoming a primary research topic for the software engineering community. Big part of IoT systems is represented by the so-called embedded systems. There is a lot of existing legacy code for embedded systems, which is going to be integrated into the IoT environment. For most of these systems, architectural...
In this work we present an IC architecture of RF energy harvesting for wireless sensors networks. By analyzing a probabilistic approach used for modeling the possible amount of Global System for Mobile Communication (GSM) energy that could be harvested, an IC system with a 0.18μm CMOS SMIC technology has been designed and optimized at 90 and 900 MHz. so to take advantage of the GSM and FM radio radiated...
The current energy consumption behaviour of mankind is causing results that are more catastrophic than just draining the resources of Earth. These results can be seen in the global warming and environmental damage in many places. All these problems serve as an indication for the need of a better conservative and sustainable behaviour. Based on the observed value of both feedback and serious games...
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