Comunicacions a congressos (Institut de Bioenginyeria de Catalunya (IBEC))
URI permanent per a aquesta col·leccióhttps://hdl.handle.net/2445/188024
Examinar
Enviaments recents
Mostrant 1 - 10 de 10
- Objecte de conferènciaDielectric excitation of Metal Oxide Semiconductor sensors: an exploratory performances analysis(2024-06-18) Robbiani, Stefano; Benegiamo, Alessandro; Capelli, Laura; Marco Colás, Santiago; Dellacá, RaffaeleMetal Oxide Semiconductor (MOX) sensors are among the most widespread devices in chemical sensing, but their use is hindered due to several limitations, including crosssensitivity to temperature and humidity. Few studies suggested that the dielectric excitation readout of MOX sensors can increase the linearity and reduce cross-sensitivity. A bench test on two commercially available MOX sensors was designed and used to evaluate the dielectric excitation readout performances at different concentrations of acetone and ethanol when temperature and humidity were changed. Results show that not only both the real and imaginary parts of the sensors' electrical impedance are strongly frequency dependent, but also the dynamics of the sensors' response. Furthermore, the calculation of cross-sensitivity shows that there are regions of the spectra that allow for a reduction of cross-sensitivity to environmental interferences ranging from 2 to 10 times between 50 and 100 KHz.
- Objecte de conferènciaDronE-Nose: drone-embedded measurement platform for odour monitoring(2024-06-18) Alonso Valdesueiro, Javier; Marco Colás, Santiago; Gutiérrez Gálvez, AgustínElectronic noses have improved in terms of reliability in the last two decades. Their design has allowed for model training and validation for predicting odour emissions and classifying odour sources. In the last few years, interest has turned to designing e-noses capable of flying in drones. Fast 3D mapping of areas where odour might become a problem, such as Wastewater Treatment Plants, Compost Plants, and Refineries, has been the main target of some recent studies. Here, a fully functional design of a drone-embedded, E-Nosebased measurement platform is presented. The design of its ENose and its fast-sampling frequency will allow for fast tracking of plumes and fast 3D odour mapping. In this contribution, a description of the system is provided in addition to preliminary measurements in the laboratory characterizing the fast response of the E-Nose to an odour stimulus.
Objecte de conferènciaStudy of quality controls for stability check of the ROIs of a ketones mixture in different GC-IMS measurement campaigns(IEEE, 2022-06-10) Mallafré Muro, Celia; Cruz, Meryl; Blanco i Borrego, Arnau; Fernández Romero, Lluís; Pardo Martínez, Antonio; Marco Colás, SantiagoGC-IMS is a very good complementary technique to traditional GC-MS, that presents some advantages, but also, some disadvantages such as misalignments produced by many parameters affecting the equipment stability. The reproducibility of the measures has been studied in two different measurement campaigns with a set of automatized quality control parameters. Figures of merit from one region of interest present in the samples show that the saturation and asymmetry do not change between measurement campaigns, but the volume and area of the total ion spectra change. A correction of these changes between batches should be developed.- Objecte de conferènciaTowards batch correction for GC-IMS data(IEEE, 2022-06-10) Fernández Romero, Luis; Blanco i Borrego, Arnau; Mallafré Muro, Celia; Marco Colás, SantiagoGas Chromatography Ion Mobility Spectrometry (GC-IMS) is a fast, non-expensive analytical technique that allows obtaining relevant chemical information from vapor mixtures. However, the technique presents some difficulties that should be solved to ensure reliable and reproducible results, namely: 1) data exhibits simultaneously high dimensionality and sparsity on their chemical information content, 2) data samples must usually be corrected even within a batch because of baseline and misalignment problems, 3) additional data corrections must be performed to prevent from chemical fingerprinting variations among batches. In this work, we have acquired data from two different batches (A and B) of ketone mixtures (2-Butanone, 2-Pentanone, 2-Hexanone, and 2-Heptanone). The analytical method for batch A and B was the same, except for the value of carrier gas flow parameter, which was approximately doubled for batch B. We have addressed problems 1) and 2) independently for each batch, obtaining as a result two peak tables. 3). Common peaks present in batches A and B were found after scaling the retention time axis of batch B and perform k-medoids clustering. Using this information, test data from batch B has been corrected through a linear transformation.
- AltresFirst characterization results obtained in a wind tunnel designed for indoor gas source detection(IEEE, 2015-09-10) Martinez, D.; Clotet, E.; Tresanchez, M.; Moreno, J.; Jiménez Soto, J. M.; Magrans Nicieza, R.; Marco Colás, Santiago; Palacín, J.This paper presents the preliminary characterization results of a custom wind tunnel for designed for performing experiments on locating a volatile gas source with a mobile robot. Such experiments require a previous characterization of the wind tunnel as well as the definition of the configurable agents which are present during the experiments. This paper presents the experimental data gathered from the real environments. This paper shows the behavior of the evolution and diffusion of the gas depending on the gas injection rate, the mobile robot position, and the wind force. The mobile robot is equipped with a LIDAR for self localization, with a photo ionization detector (PID) for gas measurement, and with an anemometer for wind measurement. This paper shows the results obtained in static and dynamic experiments.
- Objecte de conferènciaIdentification of non-technical roadblocks in cognitive robotic surgery(2014-07-15) Bergés Martín, Eduard; Casals Gelpí, AlíciaMany challenges are still to be overcome, before European robotic community reaches full clearance on how to commercialize surgical robots, even more if they are endowed with some cognitive features. Besides the technical difficulties of developing such devices from the engineering and medical point of view, firm obstacles are also present regarding the social, legal and ethical implications that will arise, once this technology is available and ready to use for surgical purposes. This presents the results reached by the coordinated action Eurosurge to face non-technical roadblocks foreseen in future robotic surgery, including recommendations for the robotic, legal and medical communities involved in this field.
- AltresImproving Calibration of Chemical Gas Sensors for Fire Detection Using Small Scale Setups(MDPI, 2017-08-09) Solórzano, Ana; Fonollosa Magrinyà, Jordi; Marco Colás, SantiagoChemical sensing may be better suited than conventional smoke-based detectors for the detection of certain type of fires, in particular in fires where smoke appears after gas emissions. However, chemical-based systems also respond to non-fire scenarios that also release volatiles. For this reason, discrimination models need to be trained under different fire and non-fire scenarios. This is usually performed in standard fire rooms, the access to which is very costly. In this work, we present a calibration model combining experiments from standard fire room and small-scale setup. Results show that the use of small-scale setup experiments improve the performance of the system.
- Objecte de conferènciaAdaptive Asymmetric Least Squares baseline estimation for analytical instruments(IEEE Computer Society, 2014-02-11) Oller Moreno, Sergio; Pardo Martínez, Antonio; Jiménez Soto, Juan Manuel; Samitier i Martí, Josep; Marco Colás, SantiagoAutomated signal processing in analytical instrumentation is today required for the analysis of highly complex biomedical samples. Baseline estimation techniques are often used to correct long term instrument contamination or degradation. They are essential for accurate peak area integration. Some methods approach the baseline estimation iteratively, trying to ignore peaks which do not belong to the baseline. The proposed method in this work consists of a modification of the Asymmetric Least Squares (ALS) baseline removal technique developed by Eilers and Boelens. The ALS technique suffers from bias in the presence of intense peaks (in relation to the noise level). This is typical of diverse instrumental techniques such as Gas Chromatography-Mass Spectrometry (GC-MS) or Gas Chromatography-Ion Mobility Spectrometry (GC-IMS). In this work, we propose a modification (named psalsa) to the asymmetry weights of the original ALS method in order to better reject large peaks above the baseline. Our method will be compared to several versions of the ALS algorithm using synthetic and real GC signals. Results show that our proposal improves previous versions being more robust to parameter variations and providing more accurate peak areas.
- Objecte de conferènciaDistributed adaptive control: An ideal cognitive architecture candidate for managing a robotic recycling plant(Springer Verlag, 2020-12-23) Guerrero Rosado, Oscar; Verschure, PaulIn the past decade, society has experienced notable growth in a variety of technological areas. However, the Fourth Industrial Revolution has not been embraced yet. Industry 4.0 imposes several challenges which include the necessity of new architectural models to tackle the uncertainty that open environments represent to cyber-physical systems (CPS).Waste Electrical and Electronic Equipment (WEEE) recycling plants stand for one of such open environments. Here, CPSs must work harmoniously in a changing environment, interacting with similar and not so similar CPSs, and adaptively collaborating with human workers. In this paper, we support the Distributed Adaptive Control (DAC) theory as a suitable Cognitive Architecture for managing a recycling plant. Specifically, a recursive implementation of DAC (between both single-agent and large-scale levels) is proposed to meet the expected demands of the European Project HR-Recycler. Additionally, with the aim of having a realistic benchmark for future implementations of the recursive DAC, a micro-recycling plant prototype is presented.
- AltresHam quality evaluation assisted by gas chromatography ion mobility spectrometry(Institute of Electrical and Electronics Engineers Inc., 2017-07-05) Fernández Romero, Luis; Martín Gómez, Andrés; Contreras, María del Mar; Padilla, Marta; Marco Colás, Santiago; Arce, LourdesIn recent years, Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) has been successfully employed in food science as a control technique for the prevention of fraud according to food and labeling regulations. In this work, we propose the use of GC-IMS technique to assess the quality of Iberian ham with regard to the Iberian Pig's diet (either nourished with feed or with acorns). For this purpose, we have acquired a dataset composed of 53 samples of Iberian ham from different food providers using a commercial GC-IMS (FlavourSpec, from G.A.S. Dortmund, Germany). Intensive signal pre-processing for GC-IMS was applied to the raw data. This dataset was employed to create four Partial Least Squares Discriminant Analysis (PLSDA) models corresponding to different train/test partitions of the dataset. Nearly perfect classification rates (above 91 %) were obtained for each partition of the dataset, denoting the high power of GC-IMS to characterize food samples. © 2017 IEEE.