Desenvolupament d'una aplicació mòbil tipus gimcana per plataformes Android

L'objectiu del projecte és el desenvolupament d'una aplicacióper a mòbils amb plataforma Android que generi una gimcana, per poder realitzar unagimcana més completa i propera a la nostra era actual; incorporant totes lesfuncionalitats que tenen els telèfons mòbils a les eines per resoldre un joc de proves, icrear així un concepte més actual del que és una gimcana tradicional. La creació del'aplicació pretén fomentar i establir un diàleg de saber col•laboratiu i d'aportació deconeixements entre els components del mateix grup, que potencia la implicació en lacreació de la resposta al misteri o la realització de la prova

Uso de hardware de código fonte aberto "Arduino" para acionamento de dispositivo solenoide em sistemas de análises em fluxo

This paper describes the use of the open source hardware platform, denominated "Arduino", for controlling solenoid valves for solutions handling in flow analysis systems. System assessment was carried out by spectrophotometric determination of iron (II) in natural water. The sampling rate was estimated as 45 determinations per hour and the coefficient of variation was lower than 3%. Per determination, 208 µg of 1-10-phenanthroline and ascorbic acid were consumed, generating 1.3 mL of waste. "Arduino" proved a reliable microcontroller with low cost and simple interfacing, allowing USB communication for solenoid device switching in flow systems.

Natiivin Android-pelin käyttöliittymän skaalautuminen ja suorituskyvyn optimointi

Tässä työssä esiteltiin Android laitteisto- ja sovellusalustana sekä kuvattiin, kuinka Android-pelisovelluksen käyttöliittymä voidaan pitää yhtenäisenä eri näyttölaitteilla skaalauskertoimien ja ankkuroinnin avulla. Toisena osiona työtä käsiteltiin yksinkertaisia tapoja, joilla pelisovelluksien suorituskykyä voidaan parantaa. Näistä tarkempiin mittauksiin valittiin matalatarkkuuksinen piirtopuskuri ja näkymättömissä olevien kappaleiden piilotus. Mittauksissa valitut menetelmät vaikuttivat demosovelluksen suorituskykyyn huomattavasti. Tässä työssä rajauduttiin Android-ohjelmointiin Java-kielellä ilman ulkoisia kirjastoja, jolloin työn tuloksia voi helposti hyödyntää mahdollisimman monessa eri käyttökohteessa.

Arduino-pohjainen OBD2-lukija SAE J1850 VPW protokollatuella

Kandidaatintyössä toteutetaan OBD2 (On-Board Diagnostics 2) -lukija ajoneuvon päästöjenhallintajärjestelmän diagnostiikkatiedoille yleiskäyttöisellä mikro-ohjaimella. Lukija tukee tiedonsiirtoprotokollana SAE J1850 VPW protokollaa. Mikro-ohjaimena on Atmel Corporationin AVR ATMega328. Työn tavoitteena on havainnoida vastaantulevia käytännön ongelmia ja haasteita mikro-ohjaimen käytöllä tiedonsiirtoprotokollan toteutukseen, ja verrata toteutettua järjestelmää kaupallisiin OBD2-lukijoihin. Työn johtopäätöksenä havaitaan mikro-ohjaimen suorituskyvyn rajoitteet ja sen tuomat toiminnan epävarmuustekijät. Työssä myös todetaan, että mikro-ohjain soveltuu tiedonsiirtoprotokollan toteutukseen kun rajoitteet otetaan huomioon. Kaupallisiin lukijoihin verrattuna yleiskäyttöiseen mikro-ohjaimeen perustuva toteutettu järjestelmä on kalliimpi ja toiminnoiltaan suppeampi. Mikro-ohjaimeen perustuva järjestelmä on kuitenkin muokattavissa ja laajennettavissa tarvittaessa, jolloin toteutukseen voidaan saada kaupallisista järjestelmistä mahdollisesti puuttuvia ominaisuuksia, kuten valmistajakohtaisia protokollia ja toimintoja, joita ei ole määritelty OBD2:ssa. Yhtenä esimerkkinä tällaisesta toiminnosta voi mainita ajoneuvoissa yleistyvän sähköisen käsijarrun säätöä ohjaavat komennot jarruhuoltoa varten.

Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains

The aim of the present study was to compare heart rate variability (HRV) at rest and during exercise using a temporal series obtained with the Polar S810i monitor and a signal from a LYNX® signal conditioner (BIO EMG 1000 model) with a channel configured for the acquisition of ECG signals. Fifteen healthy subjects aged 20.9 ± 1.4 years were analyzed. The subjects remained at rest for 20 min and performed exercise for another 20 min with the workload selected to achieve 60% of submaximal heart rate. RR series were obtained for each individual with a Polar S810i instrument and with an ECG analyzed with a biological signal conditioner. The HRV indices (rMSSD, pNN50, LFnu, HFnu, and LF/HF) were calculated after signal processing and analysis. The unpaired Student t-test and intraclass correlation coefficient were used for data analysis. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV at rest and during exercise. The intraclass correlation coefficient demonstrated satisfactory correlation between the values obtained by the devices at rest (pNN50 = 0.994; rMSSD = 0.995; LFnu = 0.978; HFnu = 0.978; LF/HF = 0.982) and during exercise (pNN50 = 0.869; rMSSD = 0.929; LFnu = 0.973; HFnu = 0.973; LF/HF = 0.942). The calculation of HRV values by means of temporal series obtained from the Polar S810i instrument appears to be as reliable as those obtained by processing the ECG signal captured with a signal conditioner.

Nonlinear Analysis of an Electroencephalogram (ECG) During Epileptic Seizure

A mathematical analysis of an electroencephalogram of a human Brain during an epileptic seizure shows that the K2 entropy decreases as compared to a clinically normal brain while the dimension of the attractor does not show significant deviation.

ECG Noise Removal using GA tuned Sign-Data Least Mean Square Algorithm

Adaptive filter is a primary method to filter Electrocardiogram (ECG), because it does not need the signal statistical characteristics. In this paper, an adaptive filtering technique for denoising the ECG based on Genetic Algorithm (GA) tuned Sign-Data Least Mean Square (SD-LMS) algorithm is proposed. This technique minimizes the mean-squared error between the primary input, which is a noisy ECG, and a reference input which can be either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Noise is used as the reference signal in this work. The algorithm was applied to the records from the MIT -BIH Arrhythmia database for removing the baseline wander and 60Hz power line interference. The proposed algorithm gave an average signal to noise ratio improvement of 10.75 dB for baseline wander and 24.26 dB for power line interference which is better than the previous reported works

Towards the development of a new wavelet for ECG classification

In this paper an attempt has been made to determine the number of Premature Ventricular Contraction (PVC) cycles accurately from a given Electrocardiogram (ECG) using a wavelet constructed from multiple Gaussian functions. It is difficult to assess the ECGs of patients who are continuously monitored over a long period of time. Hence the proposed method of classification will be helpful to doctors to determine the severity of PVC in a patient. Principal Component Analysis (PCA) and a simple classifier have been used in addition to the specially developed wavelet transform. The proposed wavelet has been designed using multiple Gaussian functions which when summed up looks similar to that of a normal ECG. The number of Gaussians used depends on the number of peaks present in a normal ECG. The developed wavelet satisfied all the properties of a traditional continuous wavelet. The new wavelet was optimized using genetic algorithm (GA). ECG records from Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) database have been used for validation. Out of the 8694 ECG cycles used for evaluation, the classification algorithm responded with an accuracy of 97.77%. In order to compare the performance of the new wavelet, classification was also performed using the standard wavelets like morlet, meyer, bior3.9, db5, db3, sym3 and haar. The new wavelet outperforms the rest

From Tin Toy to Android

This presentation is intended to show the use of Adobe Presenter to create a narrated presentation, and can be compared with the version recorded using Camtasia Studio.

From Tin Toy to Android

This presentation is intended to show the use of Camtasia Studio to create a narrated presentation, and can be compared with the version recorded using Adobe Presenter.

Aplicaciones Android y creatividad musical en primaria

Resumen en inglés. Resumen basado en el de la publicación

Motivar y aprender con el móvil creando una aplicación para Android, mediante una metodología lúdica, constructivista y social

Resumen basado en el de la publicación.

Glob3 Mobile: hacia un SIG 3D para entornos Apple-iOS, Android y WebGL

El trabajo describe el proyecto de desarrollo de un SIG 3D de código abierto para dispositivos móviles (Apple-iOS y Android) y para navegadores web con tecnología WebGL. En la fase actual, nos centraremos en el diseño e implementación del globo virtual, como elemento esencial que da soporte al SIG 3D y de una IDE que permite la programación de nuevas funcionalidades al globo. Dentro de los objetivos de diseño del globo virtual tenemos (i) simplicidad, con código estructurado que facilita la portabilidad y con una API de código abierto sencilla, (ii) eficiencia, tomando en cuenta los recursos hardware de los dispositivos móviles más extendidos en el mercado, (ii) usabilidad, implementando una navegación intuitiva mediante gestos para la interacción en pantalla y (iv) escalabilidad, gracias a una API desarrollada, se permite aumentar de las prestaciones mediante el desarrollo de scripts y podrán ser ejecutados tanto dentro del navegador web como de forma nativa en las plataformas móviles. Ante un panorama de clara proliferación de aplicaciones para móviles, Glob3 Mobile pretende ser una apuesta fuerte que llegue a convertirse en un SIG 3D de código abierto que abarque variadas aplicaciones sectoriales, algunas ya en marcha