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Page 536 of 977 Results 5351 - 5360 of 9762

Murat Celep, Handan Sakarya, Cem Hayirli, Senel Yaran
Interlaboratory Comparison of Microwave Power Measurement Using Type N Coaxial Line

An interlaboratory comparison of microwave power measurement (project UME-EM-10-02) was carried out among eight laboratories in Turkey. In this comparison, it was requested to make microwave power measurements at +10 dBm, 0 dBm and -15 dBm power levels with 0.03 GHz, 1 GHz, 7 GHz, 12 GHz and 18 GHz frequencies with their own measurement systems and methods. The measurement results and the expanded uncertainties were presented by the participant laboratories. Also, the normalized score (En) of each participant laboratory were calculated and presented to evaluate the performance of the laboratories. Most of the results in measuring power on a type N coaxial line show good agreement. According to the calculated En values, corrective actions were proposed to some of the participant laboratories.

Carles Aliau-Bonet, Ramon Pallas-Areny
Transient Reduction in Pulse-Based Impedance Measurements

Impedance measurements based on voltage pulse injection and current detection are simple to implement and fast, but transients produced in the current-to-voltage converter can yield large deviations in the impedance measured. Because those transients depend on the impedance being measured itself, it is difficult to avoid them when the measurement range is large. We propose to reduce those transients by controlling the rise time of the pulse being injected. For a particular implementation of the method, transient amplitude has been reduced to less than 2 % of the full scale voltage, as compared to 36 % overshoot for fast voltage pulses.

Zbigniew Czaja, Bogdan Bartosinski
Using an IEEE1149.1 Test Bus for Fault Diagnosis of Analog Parts of Electronic Embedded Systems

The new solution of a BIST called the JTAG BIST for self-testing of analog parts of electronic embedded systems is presented in the paper. The JTAG BIST consists of the BCT8244A and SCANSTA476 integrated circuits of Texas Instruments controlled via the IEEE 1149.1 bus. The BCT8244A is a scan test device with octal buffers, and the SCANSTA476 is a 12-bit ADC with 8 analog input channels. A self-testing approach is based on the fault diagnosis method in which we stimulate the tested analog part by a single square pulse using the BCT8244A and we sample the time response of the analog part two times with the SCANSTA476. The measurement results are used for a fault detection and also a single soft fault localization of the analog part.

Cristina Schreiner, Gabriel Dimofte, Thomas Schreiner
Carbon/polymer hybrid bio-sensors for neurotransmitters analysis

A new concept of hybrid bio-sensors are proposed for collecting microfluidic probes, in order to study and treat neurological disorders. The micro-electrode features at nanoscale are based on incorporating via electropolymerization of oxidized conjugated polymer - as charge-balancing - with dopants (e.g. Pyrrole derivatives, PEDOT, ProDOT, ProDOP and their copolymers), at the surface of carbon structures with nanopores of predefined architectures. The mechanical, fatigue and adhesion properties of the experimental coatings were assessed by using nanoindentation, high frequency impact and scratch specific tests. The electrochemical characterization (Potentiostat/Galvanostat method) was performed by using reference redox molecules such as ferricyanide, p-aminophenol, hydroquinone etc. Some applications were emphasized by testing the sensors sensitivity and reproducibility at different concentrations of dopamine, epinephrine and norepinephrine in acid medium (0.1 M HCl). In order to tailor the hybrid bio-sensors for medical applications, the potential interferences within biological samples of ascorbic acid, uric acid etc. were also taken into account. Finally, a functional on-chip model was developed, by integrating: interaction area (microelectrode exposure array), detection area (detection circuits) and processing and transmission area (signal processing and communication features).

G. Griffo, L. Piper, A. Lay-Ekuakille, D. Pellicanò, D. Scolozzi, E. De Franchis
MODELLING A BUOY FOR SEA POLLUTION MONITORING USING FIBER OPTICS SENSORS

This paper describes a prototype of a new buoy equipment for monitoring sea pollution that utilizes fluorescence chromatography of known biomass to determine which of them are present and in what capacity.The hardware system of the buoy is mainly composed of optical sensors for monitoring, circuitry on the measurement chain, the remote control system on GSM channel, and rechargeable battery with photovoltaic system.The software used in order to obtain a high resolution spectral analysis processing data is based on the Decimated Padé Approximant and Decimated Linear Predictor. Design is the results of simulations with COMSOL software.

A. Esposito, L. Tarricone, M. Zappatore
MONITORING ELECTROMAGNETIC POLLUTION: A LINKED-DATA-ORIENTED PERSPECTIVE

This paper describes how to publish data coming from scattered and heterogeneous Electromagnetic (EM) field sensing systems in compliance with novel knowledge management techniques. Ontological modeling and Linked Data Principles have been exploited to interlink and organize, from a semantic point of view, measurement data with additional information describing sensors, measurement sites and techniques, emitting sources and devices, etc. From the very first achieved results, the proposed approach exhibits many appealing features. For instance, the possibility to seamlessly access different legacy data sources or to create semantic relationships across related scientific areas. Therefore, traditional data publication techniques for EM pollution monitoring campaigns can now be thought-back and broadened by adding new features to reach more variegated categories of users rather than only technicians or managing authorities.

Maria Grazia De Giorgi, Paolo Maria Congedo, Maria Malvoni, Marco Tarantino
SHORT-TERM POWER FORECASTING BY STATISTICAL METHODS FOR PHOTOVOLTAIC PLANTS IN SOUTH ITALY

Statistical methods based on Multiregression Analysis and Artificial Neural Networks (ANNs) have been developed in order to predict power production of a 960 kWp grid-connected photovoltaic (PV) plant in the campus of the University of Salento, Italy.
The neural network has been used only as a statistic model based on time series of PV power and meteorological variables, as module temperature, ambient temperature and irradiance on module’s plain. In particular, a sensitivity analysis has been carried out in order to find those weather parameters with the best impact on the forecasting.

G. Andria, F. Attivissimo, G. Cavone, A. M. L. Lanzolla, M. Spadavecchia
ENVIRONMENTAL IMPACT ASSESSMENT OF THE MARINE TRAFFIC IN PORT OF TARANTO: A PRELIMINARY STUDY

In the last ten years town of Taranto (Italy) is living a decisive phase of its own history, since is torn between the presence of some big hazardous industrial plants and the strong demand of eco-sustainable development. The increasing of manufacturing industries has leaded an undeniable economic and social growth, but, at the same time, has exposed the whole area to great environmental stresses. This concern is particularly true also for the Port of Taranto (PoT) because the harbor area is very close to the city, contributing to expose people to risk of serious health hazards. Although the PoT activity had not a relevant impact on total pollutant emissions in the area, its location makes mandatory an environmental requalification.
The purpose of this study is to gather and analyze the data associated with the berthing operations and resulting emissions to better define the potential for emissions reductions and to suggest some possible strategies for bringing pollutants down, in order to reach a wealth based on environmental preservation.

A. Lay-Ekuakille, A. Arnesano, P. Vergallo, R. Morello, C. De Capua
LED-BASED ARCHITECTURE FOR AIR EMISSION MONITORING

We present an architecture of controlling a proposed spectrometer system for detecting pollution in water and gas. The system is based on LED sensors using a Michelson interferometer and stepper–motor for moving split mirrors. The system is designed so that changes in LED light intensity could allow to detect a wide spectrum of polluted substances. The architecture uses a special duty-cycle to reduce the uncertainty of pollution detection. The electronic board of the system has been constructed and tested with encouraging results thanks to the use of a PMT (photomultiplier tube).

A. Cocozza, A. Ficarella
ENHANCED GEOTHERMAL SYSTEM GEOPRESSURIZED WITH CO2 IN DEEP SALINE AQUIFERS

Through analytical modeling of fluid flow and geomechanical phenomena is here given birth to an energy system that integrates CCS and geothermal energy. It uses the injection of CO2 in deep saline aquifers to generate a range of pressures that facilitates the upgrade of geothermal fluids from geological formations that constitute the caprock or any porous aquifers overlaid with the aquifer reservoir. the uptake of these fluids promotes dissipate excess pressure and at the same time the settlement of primary consolidation of the formations overlying the aquifer subjected to the vertical elastic displacement. Preserves itself, in this way, the balance of the system and shows how the CCS can have a double purpose: on the one hand reduce the emission of CO2 into the atmosphere, and the other end to provide a energy contribution with the exploitation of a source of renewable energy.

Page 536 of 977 Results 5351 - 5360 of 9762