Projeto de desenvolvimento de App de apoio ao cliente para operador de telecomunicações

Trabalho de projeto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.

Sistema de localização de veículos para smartphone android

Atualmente os sistemas Automatic Vehicle Location (AVL) fazem parte do dia-a-dia de muitas empresas. Esta tecnologia tem evoluído significativamente ao longo da última década, tornando-se mais acessível e fácil de utilizar. Este trabalho consiste no desenvolvimento de um sistema de localização de veículos para smartphone Android. Para tal, foram desenvolvidas duas aplicações: uma aplicação de localização para smarphone Android e uma aplicação WEB de monitorização. A aplicação de localização permite a recolha de dados de localização GPS e estabelecer uma rede piconet Bluetooth, admitindo assim a comunicação simultânea com a unidade de controlo de um veículo (ECU) através de um adaptador OBDII/Bluetooth e com até sete sensores/dispositivos Bluetooth que podem ser instalados no veículo. Os dados recolhidos pela aplicação Android são enviados periodicamente (intervalo de tempo definido pelo utilizador) para um servidor Web No que diz respeito à aplicação WEB desenvolvida, esta permite a um gestor de frota efetuar a monitorização dos veículos em circulação/registados no sistema, podendo visualizar a posição geográfica dos mesmos num mapa interativo (Google Maps), dados do veículo (OBDII) e sensores/dispositivos Bluetooth para cada localização enviada pela aplicação Android. O sistema desenvolvido funciona tal como esperado. A aplicação Android foi testada inúmeras vezes e a diferentes velocidades do veículo, podendo inclusive funcionar em dois modos distintos: data logger e data pusher, consoante o estado da ligação à Internet do smartphone. Os sistemas de localização baseados em smartphone possuem vantagens relativamente aos sistemas convencionais, nomeadamente a portabilidade, facilidade de instalação e baixo custo.

m-SportGIS

Information technologies (ITs), and sports resources and services aid the potential to transform governmental organizations, and play an important role in contributing to sustainable communities development, respectively. Spatial data is a crucial source to support sports planning and management. Low-cost mobile geospatial tools bring productive and accurate data collection, and their use combining a handy and customized graphical user interface (GUI) (forms, mapping, media support) is still in an early stage. Recognizing the benefits — efficiency, effectiveness, proximity to citizens — that Mozambican Minister of Youth and Sports (MJD) can achieve with information resulted from the employment of a low-cost data collection platform, this project presents the development of a mobile mapping application (app) — m-SportGIS — under Open Source (OS) technologies and a customized evolutionary software methodology. The app development embraced the combination of mobile web technologies and Application Programming Interfaces (APIs) (e.g. Sencha Touch (ST), Apache Cordova, OpenLayers) to deploy a native-to-the-device (Android operating system) product, taking advantage of device’s capabilities (e.g. File system, Geolocation, Camera). In addition to an integrated Web Map Service (WMS), was created a local and customized Tile Map Service (TMS) to serve up cached data, regarding the IT infrastructures limitations in several Mozambican regions. m-SportGIS is currently being exploited by Mozambican Government staff to inventory all kind of sports facilities, which resulted and stored data feeds a WebGIS platform to manage Mozambican sports resources.

How to design and develop There App: A mobile app focused on live video streaming, promoting new social interactions

This work project aims to demonstrate how to design and develop an innovative concept of video streaming app. The project combines technology push and market pull theories into developing a product that is more suitable for the customer needs, with the particularity that there is no other way of seeing any place in the world, live and ondemand. An analysis on the bigger influencers in terms of design-thinking and new product development, as Tim Brown or Paul Trott, lead to a better understanding on how There App should evolve, keeping in mind the customer desires and technical features.

Opportunities and threats for the launch of a smartphone app

Field lab: Entrepreneurial and innovative ventures

Impact of mobile app user acquisition on managerial decisions: Evidence from empirical experiment

In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.

Dysregulated ADAM10-Mediated Processing of APP during a Critical Time Window Leads to Synaptic Deficits in Fragile X Syndrome.

The Fragile X mental retardation protein (FMRP) regulates neuronal RNA metabolism, and its absence or mutations leads to the Fragile X syndrome (FXS). The β-amyloid precursor protein (APP) is involved in Alzheimer's disease, plays a role in synapse formation, and is upregulated in intellectual disabilities. Here, we show that during mouse synaptogenesis and in human FXS fibroblasts, a dual dysregulation of APP and the α-secretase ADAM10 leads to the production of an excess of soluble APPα (sAPPα). In FXS, sAPPα signals through the metabotropic receptor that, activating the MAP kinase pathway, leads to synaptic and behavioral deficits. Modulation of ADAM10 activity in FXS reduces sAPPα levels, restoring translational control, synaptic morphology, and behavioral plasticity. Thus, proper control of ADAM10-mediated APP processing during a specific developmental postnatal stage is crucial for healthy spine formation and function(s). Downregulation of ADAM10 activity at synapses may be an effective strategy for ameliorating FXS phenotypes.

Evaluation of Machine Learning Classifiers for Mobile Network Intrusion Detection Systems

Mobile malwares are increasing with the growing number of Mobile users. Mobile malwares can perform several operations which lead to cybersecurity threats such as, stealing financial or personal information, installing malicious applications, sending premium SMS, creating backdoors, keylogging and crypto-ransomware attacks. Knowing the fact that there are many illegitimate Applications available on the App stores, most of the mobile users remain careless about the security of their Mobile devices and become the potential victim of these threats. Previous studies have shown that not every antivirus is capable of detecting all the threats; due to the fact that Mobile malwares use advance techniques to avoid detection. A Network-based IDS at the operator side will bring an extra layer of security to the subscribers and can detect many advanced threats by analyzing their traffic patterns. Machine Learning(ML) will provide the ability to these systems to detect unknown threats for which signatures are not yet known. This research is focused on the evaluation of Machine Learning classifiers in Network-based Intrusion detection systems for Mobile Networks. In this study, different techniques of Network-based intrusion detection with their advantages, disadvantages and state of the art in Hybrid solutions are discussed. Finally, a ML based NIDS is proposed which will work as a subsystem, to Network-based IDS deployed by Mobile Operators, that can help in detecting unknown threats and reducing false positives. In this research, several ML classifiers were implemented and evaluated. This study is focused on Android-based malwares, as Android is the most popular OS among users, hence most targeted by cyber criminals. Supervised ML algorithms based classifiers were built using the dataset which contained the labeled instances of relevant features. These features were extracted from the traffic generated by samples of several malware families and benign applications. These classifiers were able to detect malicious traffic patterns with the TPR upto 99.6% during Cross-validation test. Also, several experiments were conducted to detect unknown malware traffic and to detect false positives. These classifiers were able to detect unknown threats with the Accuracy of 97.5%. These classifiers could be integrated with current NIDS', which use signatures, statistical or knowledge-based techniques to detect malicious traffic. Technique to integrate the output from ML classifier with traditional NIDS is discussed and proposed for future work.

La Implantació de l’aprenentatge basat en problemes (APB-APP) en l’educació universitària: anàlisi d’una experiència

En aquest document es detalla l’experiència que s’ha portat a terme en l’Escola Politècnica Superior de la UdG. Concretament en l’assignatura de Fonaments Físics per l’enginyeria en l’àmbit de les titulacions de Disseny Industrial i d’Enginyeria Tècnica Industrial especialitat en Mecànica. L’objectiu general de l’activitat és aportar als alumnes els coneixements bàsics sobre camps elèctrics i teoria de circuits, des dels fonaments conceptuals, passant per l’aplicació dels conceptes en problemes fins a realitzar un esquema del procés, així com la utilització de les noves tecnologies tot aplicant com a tècnica d’aprenentatge basat en problemes: Project Based Learning (APB)

L'Avaluació en l'APP: l'experiència de l'INSA de Tolosa (França)

Presentació de l'experiència d'avaluació en APP a l'Institut Nacional de Ciències Aplicades de Tolosa

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.