CAVIGLIA D. D.

Kalman filter is designed to predict the correct values for noisy measurements, using a probabilistic model. However, the chosen system model has a huge impact on the outcome of this algorithm, which makes it very important for the model to be as representative of the system as possible. A new approach to handle the noisy measurements in low...

In this paper the design of a printed log-periodic antenna for long range communication within a wireless sensor network system for sea water quality monitoring is presented. The difficulties in using the design procedure for log-periodic dipole antennas proposed by Carrel are discussed and some limitations are pointed out. New design hints are...

The authors present modifications to Kohonen autoassociative maps to increase their efficiency for clustering and decrease their sensitivity to initial conditions. A new update rule is described for the classification for similarity. Some test results are presented for comparison between different algorithms. The new neural network algorithm...

An experimental analog VLSI neural chip is presented. The chip integrates 4 neurons and 32 synapses organized in a Single Layer Perceptron architecture with 8 inputs and 4 outputs. The neural computational units (neurons and synapses) feature on-chip learning capabilities following the Back-Propagation algorithm. The operation of the neural...

In this work, a power management system for the fluttering wind energy harvester FLEHAP is presented and tested. The proposed system uses a low power microcontroller running a simple power management algorithm, and an optimised self-powered circuit consisting of a buck-boost converter and an auxiliary circuit, which is capable of providing...

The computerized tomography imaging is based on diffraction theory for continuous wave. It requires knowledge of the acoustic field scattered by an object immersed in a fluid. This paper analyzes the ultrasound harmonic scattering by a sphere surrounded by a compressible fluid medium. The KZK equation is considered for describing the fields'...

The realm of Low Power Wide Area Network (LPWAN) has a paramount influence on the way we work and live. For instance, real-time applications and rapid packet transiting for long-range have now come into practice that was previously considered mysterious. However, euphoria becomes a problem when it comes to security considerations, as low-power...

The need for low cost power sources was always the scope of researchers, especially for applications such as Wireless sensor networks (WSN), where the maintenance and replacement of energy storage units is costly. In this sense, energy harvesting (EH) is more reliable and cheaper due to its unlimited availability. Though, the environment...

: In the climate change scenario the world is facing, extreme weather events can lead to increasingly serious disasters. To improve managing the consequent risks, there is a pressing need to have real-time systems that provide accurate monitoring and possibly forecasting which could help to warn people in the affected areas ahead of time and...

The proliferation of monitoring in unpredictable environments has aided the world in solving challenges that were previously thought to be insurmountable. Drastic advancement has been pinpointed in the way we live, work, and play; however, the data odyssey has yet started. From sensing to monitoring, the endless possibility enabled by LoRa, the...

In this article, a new microwave-radar-based technique for short-range detection and classification of multiple human and vehicle targets crossing a monitored area is proposed. This approach, which can find applications in both security and infrastructure surveillance, relies upon the processing of the scattered-field data acquired by low-cost...

In this paper we present the design of an ASIC chip for real-time image processing in industrial applications. The chip is a module of a system for the automatic surface inspection of mechanical parts: it implements the feed-forward phase of a neural network model (multi-layer perception with local connections) tuned to the specific...

Specific optimization problems can be solved with high efficiency by neural network models, due to their intrinsic massive parallelism. The emulation of neural algorithms on concurrent architectures can preserve their computational power. The authors illustrate and discuss the implementation of Hopfield networks for the solution of the...

The Internet of Things (IoT) has disrupted the IT landscape drastically, and Long Range Wide Area Network (LoRaWAN) is one specification that enables these IoT devices to have access to the Internet. Former security analyses have suggested that the gateways in LoRaWAN in their current state are susceptible to a wide variety of malicious...

This article compares different rainfall observing techniques available in the City of Genoa (Italy): The Ligurian regional tipping-bucket rain gauge (TBRG) network and the Monte Settepani long-range weather radar (WR) operated by the Ligurian Regional Environmental Protection Agency (ARPAL) and Smart Rainfall System (SRS), a network of...