IMEKO Event Proceedings

Page 7 of 855 Results 61 - 70 of 8545

Di Angelo L., Di Stefano P., Guardiani E., Morabito A.E.
A 3D information framework for automated archaeological pottery archival

The classification of ceramic archaeological fragments is based on shape, dimensions, decorations, technological elements, color and material. Nowadays, all of these features are still recognized and analyzed by a skilled operator. It follows that the resulting characterization of shape and sizes of archaeological fragments is poorly reproducible and repeatable. With a view to overcome these limitations, a computer-based methodology, able to extract automatically several quantitative information from high-density discrete geometric models acquired by the laser scanning of archaeological fragments, was proposed. In this paper, the set of quantitative information obtainable is furtherly broadened, by including the segmentation of some types of morphological features, the identification of the fragment shape type, the evaluation of the longitudinal profile and the estimation of a larger set of dimensional features. Finally, a new 3D information framework is proposed to store the large variety of quantitative information extracted.

Matteo Parenti, Andrea Boni, Davide Vescovi
A 6-b 1Gsample/s SiGe BiCMOS A/D Converter

The paper describes the design of a 1GS/s 6-bit ADC in SiGe BiCMOS technology. Several techniques such as subranging, interpolation and averaging were implemented on the original flash architecture in order to achieve low power consumption without sacrificing linearity and dynamic performance.

Bruno Da Silva, Stephane Bosse, Severin Barth, Steve Torchinsky
A 6-bit 3GS/s FLASH ADC IN BIPOLAR 0.25 µm FOR THE RADIOTELESCOPE SKA

A flash Analog to Digital Converter (ADC) at 3 Giga samples per second (GS/s) was developed using QUBIC4X which is a 0.25 µm SiGeC process from NXP Semiconductors. The ADC has a bandwidth close to 1.2 GHz with a resolution of 6-bit. The full design employs a differential structure. The ADC uses a parallel architecture consisting of the following components: track and hold, comparators, and a fat tree encoder. An embedded test system will help us to validate the data transmission, and it is made by a Linear Feedback Shift Register (LFSR). An additive scrambler block allowed us to transmit the data without an accompanying clock signal. The core of the digital circuit is in Emitter-Coupled Logic (ECL). The input is adapted to 100 Ω differential, and the outputs use standard Low Voltage Differential Signaling (LVDS). The input voltage range is about 0.5 Volts. The complete system has a power consumption of 2.6 Watts and the Effective Number of Bits (ENOB) is higher than 4.4 at 1490 MHz.

Li Wansheng, Li Qingzhong, Zhao Yucheng, Sun Yunhai, Wang Jianguo
A 60 MN Build-Up Force Transfer System

The paper described principle, construction and main specifications of a 60 MN force transfer system (FTS), which is used to transfer or calibrate large force over 20 MN, and to do inter-comparison of force standards. The paper has raised additional budget of its connecting to uncertainty of the force measured by the FTS, and non-uniformity of force applied on the FTS.

Liyue Yan, Houjun Wang, Hao Wang, Zhen Liu
A B-spline and OS-ELM Fusion Approach for Prognostics with Singularity Problems

In practice, the degradation process of electronic products is usually accompanied with singularities caused by intermittent and transient interference, improper conduct on singularity processing would inevitably and seriously affect the accuracy of products’ life-time prediction. Taking advantage of rapid development of AI technology recent year, a new surrogate approach based on spline function and online sequential extreme learning machine (OS-ELM) is developed in this paper, to address these issue. This fusion approach takes the cubic non - polynomial spline function as the prediction cell of the output from OS-ELM, the second derivative of the spline model can be adopted and calculated to form a series of observation frames, meanwhile, an improved particle swarm optimization (PSO) is used to optimize the parameters of ELM hidden network to help with forecasting the observation sequence and rebuild the spline function. In the verification stage, two numerical simulation examples and a practical application involving typical time series data with singularities demonstrate the effectiveness of this proposed fusion method, respectively.

Alberto Ramil, Ana J. López, J. Santiago Pozo-Antonio, Teresa Rivas
A backpropagation ANN algorithm based on RGB images for the identification of granite-forming minerals

Granite is a rock widely used in the built Cultural Heritage in the NW of Iberian Peninsula. Nowadays, one of the most studied cleaning procedure of the built Cultural Heritage is the laser application because it is gradual and selective. Considering the laser cleaning of granite, it is of great interest to perform the identification of the forming-minerals in the stone surface in order to avoid damage due to the overexposure, improving the treatment results. The aim of this work is the optimization of a back propagation artificial neural network in order to obtain rapid and reliable identification of formingminerals in granitic stones by means of RGB images. Our goal is, eventually, in-situ monitor the laser cleaning of granite stoneworks. The artificial neural network results obtained were compared with the results of the modal analysis and it was detected a high degree of correct identification of the minerals.

P. Arpaia,P. Cimmino, E. De Matteis, G. D’Addio
A BALANCE BOARD DEVICE FOR HOME CARE TELEREHABILITATION EXERGAMING

A prototype of a low-cost balance board for exergaming-based tele-rehabilitation systems is introduced. The objective is to extend at patient’s home the interactive nature of the individualized rehabilitation therapies traditionally carried out at clinic. Preliminary results on posturographic tests showed encouraging performance.

Mitsuo Matsuda, Takahiro Arita, Susumu Sakano
A BASIC RESEARCH FOR DISCRIMINATION OF LIVING BODY TISSUES USING TACTILE SENSOR

It is dispensable to develop the discriminating method of the human body tissues for the automation of the operation using robots. The piezoelectric elements are used as the sensor to measure the qualities of the living body. The discrimination for various meats as the living body is tried using the developed tactile sensor. It is shown that the discrimination among the living tissues is possible using the proposed tactile sensor.

E. Lunca, C. Donciu, M. Cretu, A. Salceanu
A Basic Virtual Test System for EMI/RFI Problems

The paper presents a virtual system for locating and measuring near-field electromagnetic emissions in the frequency bandwidth from 100 kHz to 500 MHz. The implemented software controls the test equipment and performs both E and H-field strength measurements. The virtual system is not intended to verify compliance with international emission regulations. However, it is helpful in characterizing the abnormal electromagnetic fields and in extracting frequency and time domain information.

Marcel Reginatto, Andreas Zimbal
A BAYESIAN ANALYSIS TO EVALUATE THE NEUTRON RESPONSE OF A LIQUID SCINTILLATION SPECTROMETER

Many problems in neutron metrology require the determination of spectral neutron fluence rates. One of the prerequisites for doing spectrometry is the knowledge of the detector’s response function. We report on a method to determine the response function of liquid scintillation spectrometers given measurements in monoenergetic neutron fields. The response function is modelled using radial basis functions and the parameters of the model are chosen using Bayesian parameter estimation.

Page 7 of 855 Results 61 - 70 of 8545