Ioan Tudosa

Wireless Sensor Network for traffic safety

The paper presents the design and implementation of an innovative Wireless Sensor Network (WSN) for traffic safety measurements. The research aims to create a Wireless Active Guardrail System (WAGS) which can provide user-friendly and low-delay safety warning signs to travelers in presence of possible collisions between vehicles and guardrails. The proposed WAGS uses advanced sensing and networking technologies. The general architecture and two sensor nodes for safety measurements are described in details.

Wireless Active Guardrail System for environmental measurements

The paper presents the design and implementation of a Wireless Active Guardrail System (WAGS), that adds to the typical passive protection of guardrails the capability of monitoring both traffic and environment along the roads. The general overview of a WAGS, intended to be applied on highways, is presented and the measured quantities are discussed. The architecture of a sensor node for environmental monitoring experimentally validated in laboratory is presented and future improvements and features are suggested.

Wireless active guardrail for traffic safety: Preliminary tests of speed and proximity measurement

The paper presents the preliminary results of the characterization phase of the speed and proximity measurement systems, intended to be integrated in a Wireless Active Guardrail System (WAGS). The main aim of the work is to validate the data acquisition functionalities of the proposed measurement systems in laboratory conditions by assessing the contribution to the measurement uncertainty of the signal conditioning hardware, as well as of the software procedures.

Analog-to-information converters in the wideband rf measurement for aerospace applications: current situation and perspectives

Currently, monitoring radio frequency (RF) emissions in the aerospace field is done by means of different techniques and methods. The RF measurements are carried out on ground stations and space stations (e.g., satellites). To allow a fast and efficient characterization of aerospace RF emissions, a significant interest of researchers has been on reducing the time needed for the Wideband Spectrum Sensing (WSS) [1]. The current state-of-the-art of A/D conversion of wideband signals coming from antenna systems is a wellknown boundary to that aim. Recently, compressed sampling (CS) and analog-to-information converters (AICs) have been proposed as a means to allow an efficient WSS [2]-[4]. A first survey about the challenges of WSS in the existing aerospace RF environment and a short introduction on signal acquisition for measurement purposes using AICs for CS was presented in [5].

Network design and characterization of a Wireless Active Guardrail System

This paper deals with the design and characterization of a network architecture for an intelligent transportation system called Wireless Active Guardrail System, WAGS. A protocol stack called Blip has been applied under an open-source embedded operating system (named TinyOS) in order to comply with the requirements of WAGS. A routing protocol has been deployed to implement mesh networking using as hardware module the IRIS mote platform. In order to validate the WAGS networking requirements, different tests have been carried out regarding time-delay measurements in case of multi-hop and round-trip of data packets. For the designed network architecture, several results obtained by simulation and laboratory measurements are reported.

Wireless sensor network for traffic safety: Analysis of measurement uncertainties

The paper presents an analysis of the uncertainties of the measurements for the traffic safety. The measurements are obtained by means of a network of wireless sensors mounted on the guardrail. The considered traffic safety measurements are: (i) vehicle speed, (ii) vehicle proximity to guardrail, and (iii) detection of vehicle impacts on the guardrail. For each measurement type, (i) the description of the measurand, (ii) the measurement method and the adopted sensors, and (iii) the evaluation of measurement uncertainties, are reported.

LMS algorithm derivatives used in real-time filtering of ECG signals: A study case on performance evaluation

The paper presents two derivatives of the Least Mean Square (LMS) algorithm, which can be utilized in real-time processing of the electrocardiographic (ECG) signals: (i) the Normalized LMS (NLMS), and (ii) Sign based LMS (S-LMS) algorithms. The algorithms are suitable for implementation on Digital Signal Processors (DSPs) or on Field Programmable Gates Arrays (FPGAs), and the practical implementations of their equations are presented. The implementation of the iterative steps can be done in an easy manner with low computational complexity with good effect on the filtering process, for both types of perturbations, electronic noises and power line interference signals, which can occur on ECG signals.

FPGA approach of an adaptive filter for ECG signal processing

The paper presents an implementation of an proposed adaptive filter structure, which use as running support a circuit like Field Programmable Gate Array (FPGA). The proposed method can be used to clean the electrocardiographic (ECG) signals from power line interference in real-time. The Least Mean Square (LMS) algorithm is used to update up to twelve coefficients from filters structure. The design was developed using DE2 platform (Development and Education Board), which include one circuit FPGA type Cyclone II. The provided results concludes that the FPGA approach of proposed LMS adaptive filter structure, which is intended to process in real-time the ECG signal, presents better performances.

A remote-controlled platform for UAS testing

Nowadays, unmanned aerial systems (UASs) find application in several fields [1], such as agriculture, environmental monitoring, energy, geology, and archaeology [2], and the list is continually growing. Light vertical takeoff and landing–remotely piloted aircraft systems, often called generic UASs, are the most used platforms due to their low weight, low size, and low cost [1]. This trend is due to the integration on the UAS of high-performance processors, sensors, and actuators with very low power consumption.