888 research outputs found

    Prototipo de un sistema de ultrasonido aplicado a un basto虂n blanco

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    La Convenci贸n de las Naciones Unidas sobre los Derechos de las Personas con Discapacidad declara que los Estados participantes en la convenci贸n tienen la obligaci贸n de garantizar los derechos de estas personas para desarrollar y utilizar su potencial creativo e intelectual, tanto en el 谩mbito personal como en el profesional. En virtud de esto, la Universidad Polit茅cnica Salesiana del Ecuador ha liderado en los 煤ltimos a帽os la investigaci贸n de nuevas tecnolog铆as para facilitar la integraci贸n de las personas con discapacidad en la sociedad. Este texto, Prototipo de un sistema de ultrasonido aplicado a un bast贸n blanco, es un valioso aporte en tal sentido. El libro muestra c贸mo se dise帽贸 y construy贸 el prototipo de un sistema de ultrasonido y se lo aplic贸 a un bast贸n blanco. Pero su valor no consiste solo en el logro cient铆fico que esto supone sino tambi茅n en el trasfondo social que expresa, pues no es suficiente idear nuevas tecnolog铆as que promuevan la protecci贸n de los derechos de las personas con discapacidades; tambi茅n es cr铆tico asegurar que ellas sean accesibles para todos

    Prediction of the Optimal Dosage of Poly Aluminum Chloride for Coagulation in Drinking Water Treatment using Artificial Neural Networks

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    Drinking鈥搘ater Treatment Plants (DWTP) dosing coagulant chemicals determines the success of water quality. The addition of these compounds is usually a manual procedure performed by trained people. This task is quite difficult because it requires a lot of experience for a correct dosage. To solve this problem, this study is based on the analysis of data collected from a raw water source located in Ecuador. Then, using the information on the physical-chemical parameters of the raw water, the definition of the doses of Polyaluminum Chloride (PAC), and the input and output variables of the dosage process are identified. Consequently, the implementation of an intelligent control system based on Artificial Neural Networks (ANN) is proposed. These experiments start with data collection and analysis in order to establish the variables involved in the process. The proposed neural model has three hidden layers, and it uses adaptive gradient algorithms. An analysis of the results was performed using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The PAC predictive model in the training phase gives a MAPE value of 0.0425 for the not adjusted values and 0.0262 for the adjusted numerical values. However, in the test phase the neural model achieves a MAPE of 0.057 for the not adjusted PAC values and 0.041 for the adjusted values. It can be concluded that this alternative provides an efficient solution when solving dosing problems in DWTPs, having reliable results from the RMSE and MAPE metrics

    Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at root s=13 TeV

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    A search is presented for new particles produced at the LHC in proton-proton collisions at root s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb(-1), collected in 2017-2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with an earlier search based on a data sample of 36 fb(-1), collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.Peer reviewe

    Combined searches for the production of supersymmetric top quark partners in proton-proton collisions at root s=13 TeV