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Optimal window size for the extraction of features for tool wear estimation
No full textThis work was funded by CONCYTEC-FONDECYT in the framework of call E038-01, grant No. 020-2019-FONDECYT-BM-INC.INV.Prediction of machine tool wear is highly dependent on the quality of the measured data and the ability to extract information from such raw data. These data are presented in the form of time series, which cannot be used directly by conventional machine learning algorithms, such as the one used in this work. To link the raw data and the learning algorithm, it is first necessary to extract a feature set from the time series. An important but little analyzed aspect is the size of the window required for feature extraction. If this window is too small, not much information will be obtained, on the other hand, if the window is too large, there will be more chance of outliers and other irregularities of the data being introduced. In the present work, we use a novel database corresponding to machine tool wear to demonstrate the impact of window size. An optimally chosen window size, plus an adequate feature extraction, allows us to obtain results comparable to the state of the art, i.e., median scores of 89 %, which are comparable to that obtained by the first place of the recently held data challenge. © 2021 IEEE.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte
Optimization of processing parameters for the microencapsulation of soursop (Annona muricata L.) leaves extract: Morphology, physicochemical and antioxidant properties
No full textAcknowledgments Mr. Jordán-Suárez thanks the financial support given by the Ministry of Education of Peru (MINEDU) through the project 179-2015-FONDECYT-DE for doctoral studies in Food Sciences at UNALM. The authors acknowledge the facilities provided by the Center of Spectroscopy and Electron Microscopy (CESMI) of the University of Concepcion and the support provided by Dr. Gladys Ocharan for the SEM-EDS images analysis in Lima.Soursop leaves contain bioactive compounds which degrade after being separated from their native matrix. In order to protect their functionality, encapsulation can be applied. This investigation aimed to optimize the parameters for microencapsulating a hydroethanolic extract of soursop leaves after selecting a technique among freeze (FDM) and spray drying (SDM). Selection was performed through a factorial design (23) including as factors: the technique (FDM and SDM), the encapsulant (Gum Arabic and maltodextrin) and its concentration (5% and 10%), for maximizing encapsulation efficiency (EE). Spray drying microencapsulation with maltodextrin at 10% showed the highest EE. Subsequently, the drying temperature and the feeding rate were optimized through a multilevel factorial design to minimize moisture and to maximize the powder solubility and the EE. A significant effect on the response variables (p < 0.05) was found, resulting in 140 ºC and 7 mL/min as optimum parameters. Optimized treatment powder was characterized in terms of microstructure (spherical particles with a random size and irregular surfaces), annonacin content via HPTLC (0.904 ± 0.054 mg/g), color (L* 66.89 ± 0.67, a* 0.06 ± 0.56 and b* 6.01 ± 0.20) and antioxidant capacity (17.88 ± 0.86 and 90.59 ± 1.19 µmol ET/g, by DPPH and ABTS assays). Proposed SDM conditions could be taken into account for preserving bioactive compounds from soursop leaves. © 2021 Innovations in Cardiac Rhythm ManagementFondo Nacional de Desarrollo Científico y Tecnológico - Fondecy
SHREC 2021: Retrieval of cultural heritage objects
No full textThis work has been partially supported by Proyecto de Mejoramiento y Ampliación de los Servicios del Sistema Nacional de Ciencia, Tecnología e Innovación Tecnológica (Banco Mundial, Concytec), Nr. Grant 062-2018-FONDECYT-BM-IADT-AV. This work was supported by the European Commission (Bigmedilytics 780495, TRABIT 765148), the Austrian Research Promotion Agency (FFG) - BRIDGE (grant number: 878730), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689), the Bundesministerium fuer Bildung und Forschung (BMBF) through BIFOLD - The Berlin Institute for the Foundations of Learning and Data (ref. 01IS18025A and ref 01IS18037A). This work has also received funding from the NWO-TTW Programme “Efficient Deep Learning”(EDL) P16-25. The-Anh Vu-Le was funded by Vingroup Joint Stock Company and supported by the Domestic Master/ PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), Vingroup Big Data Institute (VINBIGDATA), code VINIF.2020.ThS.JVN.01. The HCMUS team was funded by Gia Lam Urban Development and Investment Company Limited, Vingroup and supported by Vingroup Innovation Foundation (VINIF) under project code VINIF.2019.DA19. This work was also co-funded by the Austrian Science Fund FWF and the State of Styria, Austria within the project Crossmodal Search and Visual Exploration of 3D Cultural Heritage Objects (P31317-NBL).This paper presents the methods and results of the SHREC’21 track on a dataset of cultural heritage (CH) objects. We present a dataset of 938 scanned models that have varied geometry and artistic styles. For the competition, we propose two challenges: the retrieval-by-shape challenge and the retrieval-by-culture challenge. The former aims at evaluating the ability of retrieval methods to discriminate cultural heritage objects by overall shape. The latter focuses on assessing the effectiveness of retrieving objects from the same culture. Both challenges constitute a suitable scenario to evaluate modern shape retrieval methods in a CH domain. Ten groups participated in the challenges: thirty runs were submitted for the retrieval-by-shape task, and twenty-six runs were submitted for the retrieval-by-culture task. The results show a predominance of learning methods on image-based multi-view representations to characterize 3D objects. Nevertheless, the problem presented in our challenges is far from being solved. We also identify the potential paths for further improvements and give insights into the future directions of research. © 2021 Elsevier LtdConsejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte
Space Exploration of AlN Pedestal Waveguides for Phase Shifting Applications
No full textF. J., R.R., and M.A. acknowledge funding support from CONCYTEC-FONDECYT within the call E041-01 [contract number 015-2018-FONDECYT/BM].Aluminum nitride (AlN), which belongs to the family of the III-V semiconductors, is a material of great interest in the microelectronics industry due to its high decomposition temperature, good chemical stability, wide bandgap and CMOS compatibility. Moreover, AlN is known by its Pockels coe_cients, which makes it very suitable for various non-linear optical devices. In this work, a study of a design space exploration of fundamental mode polarization in an AlN pedestal waveguide is proposed. The current work performs a dispersion analysis of this type of waveguide by varying the dimensions of the core and the pedestal. Lastly, electrode design for phase shifting analysis is also proposed. The data obtained with the exhibited work will allow the device designer to have a design space with light polarization control to stimulate the adequate electro-optic coefficient, with potential applications in modulators, switches, multiplexers, phase shifters, among others. A feasibility study will also be provided © 2021 SPIE.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte
Towards an Automatic Generation of Persuasive Messages
No full textAcknowledgments. This work has been supported by CONCYTEC - FONDECYT within the framework of the call E038-01 contract 014-2019. N. Condori Fernandez wish also to thank Datos 4.0 (TIN2016-78011-C4-1-R) funded by MINECO-AEI/FEDER-UE.In the last decades, the Natural Language Generation (NLG) methods have been improved to generate text automatically. However, based on the literature review, there are not works on generating text for persuading people. In this paper, we propose to use the SentiGAN framework to generate messages that are classified into levels of persuasiveness. And, we run an experiment using the Microtext dataset for the training phase. Our preliminary results show 0.78 of novelty on average, and 0.57 of diversity in the generated messages. © 2021, Springer Nature Switzerland AG.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte
The Unconscious, Drive, and Desire in Anglo-Saxon Philosophy and Psychoanalysis
No full textThis work explores the reception of Psychoanalytic ideas by anglo- saxon philosophy, the latter represented by Bertrand Russell, John Dewey, Ludwig Wittgenstein, Stanley and Marcia Cavell, Donald Davidson, Richard Rorty and David Finkelstein. I also include Jurgen Habermas´ interpretation of Freud´s ideas under the label of Anglo Saxon Philosophy. The first part is dedicated to the concept of desire in Psychoanalysis and in anglo-saxon philosophy. In the second part, deals with the concept of Unconscious
Informe de vigilancia tecnológica: Inteligencia artificial
No full textAnaliza la Inteligencia Artificial (IA) desde un punto de vista práctico, mostrando cómo estas diversas herramientas tecnológicas están abriendo nuevas oportunidades en todos los rubros empresariales, donde los convenios corporativos y políticas gubernamentales, vienen dando buenos resultados. Y como la IA se ha convertido en la prioridad de muchas naciones del mundo
Low viscosity alkyd resins based on trimethylolpropane and Peruvian oil
No full textThe high-unsaturated fatty acid content of Sacha inchi oil (SIO), a perennial plant originally from Peru, has turned it into a potential raw material for the production of alkyd resins. In this study, different proportions of multifunctional polyols were used to prepare air-drying resins. Physicochemical characteristics (acid value, viscosity, colour, density, drying time, and hardness) of alkyds were evaluated. Moreover, FT-IR, TG–DTA, 1H-NMR and 13C-NMR characterization techniques were used. SIO-based alkyd resins prepared with trimethylolpropane exhibited low viscosities, suitable for preparing more manageable high solids protective coatings. © 2021, The Polymer Society, Taipei.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte
A new electrochemical platform based on carbon black paste electrode modified with α-cyclodextrin and hierarchical porous carbon used for the simultaneous determination of dipyrone and codeine
No full textThe present study reports the simultaneous determination of dipyrone and codeine by a simple, fast and low-cost method using carbon black paste electrode (CBPE) modified with α-cyclodextrin (CD) and hierarchical porous carbon (HPC). Using optimum conditions, the CD-HPC/CBPE sensor proposed in this study presented excellent electrochemical catalysis. Based on square wave voltammetry (SWV) analysis, linear concentration ranges of 0.46 to 35 µmol L−1 and 0.5 to 38 µmol L−1 were obtained for dipyrone and codeine, respectively, with nanomolar limits of detection for both analytes. The proposed sensor exhibited good stability, satisfactory repeatability and high sensibility in the determination of the analytes of interest. The application of the sensor in real samples was found to be successful, with recovery rates ranging from 96 to 106%. The method proposed in this study was found to be reliable for the simultaneous detection of dipyrone and codeine in different matrices. © 2021 Elsevier B.V.Fondo Nacional de Desarrollo Científico y Tecnológico - Fondecy
Anthropogenic and environmental influences on nutrient accumulation in mangrove sediments
No full textHere we provide a global review on nutrient accumulation rates in mangroves which were derived from sixty-nine dated sediment cores, addressing environmental and anthropogenic influences. Conserved mangroves presented nitrogen and phosphorous accumulation rates near to 5.8 ± 2.1 and 0.8 ± 0.5 g m?2 yr?1, respectively. These values were significantly lower than those observed for mangroves impacted by coastal eutrophication, which were found to bury 21.5 ± 8.6 and 17.9 ± 2.4 g m-2 yr?1, of nitrogen and phosphorous respectively. Moreover, higher nutrient accumulation rates were found in mixed mangroves as compared to monospecific forests, and higher values were noted within vegetated areas as compared to mudflats. For South America and Asia, mangroves impacted by anthropogenic activities may result in up to seventeen-fold higher nitrogen and phosphorous accumulation rates in comparison with values under conserved conditions. For Oceania, these differences may be up to fivefold higher in impacted as compared to the conserved ecosystems in this region. © 2021 Elsevier LtdConsejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concyte