3,622 research outputs found
Concurrency in Android development – Kotlin Coroutines and RxJava
A faulty concurrency system may have an impact in the user experience of the software product and consequently to the company that owns that product. The main goal of this research is to understand the impact of concurrency in Android development and further help developers/companies to discretise the best approaches for concurrency.
The research initially centres on the importance of concurrency in Android applications as well as the main approaches for concurrency/threading in Android development. It further illustrates why some asynchronous programming approaches do not fit modern Android development. This allowed the research to concentrate on the most relevant approaches to concurrency and consequently produce more pertinent results for the current state of Android development.
After acknowledging Kotlin Coroutines and RxJava as the most relevant approaches to concurrency for Android (at the time of writing this document), this research moved on with the development of a case study application. This application was implemented using both Kotlin Coroutines and RxJava while reusing as much code as possible. There is a single module dedicated to the main user interface of the application and two modules (one for Kotlin Coroutines and one for RxJava) dedicated to concurrently run the necessary steps for each feature and further propagating the necessary data to the user interface. This allowed a clear separation of the specific code needed to perform the same features with Kotlin Coroutines and RxJava, facilitating its later comparison. The design of this application and its features required prior assessment of common use cases for concurrency in Android to form a fitting case study.
With the intent of assessing the impact of using Kotlin Coroutines and RxJava in Android applications, we discretised the main software quality attributes to consider for Android development. By taking this step, we were able to focus mainly on the Performance and Maintainability of an Android application and understand how the usage of both Kotlin Coroutines and RxJava affects these attributes.
The impact of each library in the performance and maintainability of an Android application was measured using software metrics that were provided by a combination of static analysis, benchmarks, and profiling tests. The process of designing the set of tests, setting up the required tools and the overall development of the test environment for this research is also explored in this document.
The results for Kotlin Coroutines and RxJava were then illustrated, compared, and interpreted to fulfil our objective of understanding if, at the time of writing this document, there is a more sensible approach to concurrency for Android development according to our set of tests.
The results for our set of tests and case study application revealed that RxJava and Kotlin Coroutines do not differently compromise the performance and maintainability of an Android application, for what developers and companies should not be limited when choosing between these libraries
Dubrovin Frobenius manifolds, Hurwitz spaces, and Extended Jacobi groups.
I define a certain extension of the Jacobi group An, and a Dubrovin-Frobenius structure is constructed on its orbit space
1 D Landau Ginzburg superpotential of Big Quantum Cohomology of CP2
Using the inverse period map of the Gauss-Manin connection associated with
and the Dubrovin construction of Landau-Ginzburg
superpotential for Dubrovin Frobenius manifolds, we construct a one-dimensional
Landau-Ginzburg superpotential for the quantum cohomology of .
In the case of small quantum cohomology, the Landau-Ginzburg superpotential is
expressed in terms of the cubic root of the j-invariant function. For big
quantum cohomology, the one-dimensional Landau-Ginzburg superpotential is given
by Taylor series expansions whose coefficients are expressed in terms of
quasi-modular forms. Furthermore, we express the Landau-Ginzburg superpotential
for both small and big quantum cohomology of in closed
form as the composition of the Weierstrass -function and the universal
coverings of and
respectively
Multirotor UAV simulation for monitoring natural disasters using GAZEBO
The advancement of aeronautical and technological capabilities in recent years has
significantly increased the versatility of Unmanned Aerial Vehicles. Drones nowadays
come in various configurations, including fixed-wing, rotary-wing, and hybrid designs,
catering for a wide range of purposes such as recreational activities, agriculture, sports
competitions, military operations, and civil and military monitoring.
Multirotor drones are accessible due to their low cost and ease of use, and as a result,
they are currently proliferating. Taking advantage of this efficiency and popularity, and
using a monitoring quadcopter, this dissertation focuses on the development of a
simulation in which a drone can be controlled by a basic algorithm in Python. This
algorithm is responsible for sending commands to the drone, allowing it to
autonomously follow a forest fire front.
The process of creating the simulation involved several stages. Firstly, the virtual drone
was designed in computer aided design (CAD), inspired by a real drone model. Then, the
drone's script was adapted from an existing drone, enabling it to function within the
simulation environment. An autopilot system was implemented to provide autonomous
control to the virtual drone, while a robot configuration program was used to characterize
its behavior. Additionally, a virtual environment, based on the aerodynamics and
propulsion laboratory of the Department of Aerospace Sciences at University of Beira
Interior (UBI), was created to provide a scenario for drone operation.
The successful implementation of a quadcopter drone simulation in the Gazebo
simulator focuses primarily on its application in monitoring forest fires. Soon, this
project involves testing the developed algorithm and simulation on a real drone within
the confines of the laboratory.O avanço das capacidades aeronáuticas e tecnológicas nos últimos anos tem aumentado
significativamente a versatilidade dos VeÃculos Aéreos Não Tripulados. Os drones
atualmente possuem várias configurações, incluindo asas fixas, asas rotativas e designs
hÃbridos, atendendo a uma ampla gama de propósitos, como atividades recreativas,
agricultura, competições desportivas e monitoramento civil e militar.
Os drones multirotores são acessÃveis devido ao seu baixo custo e facilidade de uso e
como consequência proliferam atualmente. Aproveitando esta eficácia e popularidade e
utilizando um quadricóptero de monitorização, esta dissertação concentra-se no
desenvolvimento de uma simulação na qual um drone pode ser controlado por um
algoritmo básico em Python. Esse algoritmo é responsável por enviar comandos ao
drone, permitindo que ele siga autonomamente uma frente de fogo florestal.
O processo de criação da simulação envolveu várias etapas. Primeiramente, o drone
virtual foi projetado em design auxiliado por computador (DAC), inspirado num modelo
de drone real. Em seguida, o "script" do drone foi adaptado de um drone existente,
permitindo que ele funcione dentro do ambiente de simulação. Um sistema de piloto
automático foi implementado para fornecer controlo autónomo ao drone virtual,
enquanto um programa de configuração de robôs foi utilizado para caracterizar o seu
comportamento. Além disso, um ambiente virtual, baseado no laboratório de
aerodinâmica e propulsão do Departamento de Ciências Aeroespaciais da Universidade
da Beira Interior (UBI), foi criado para fornecer um cenário para a operação do drone.
A implementação bem-sucedida da simulação de um drone quadricóptero no simulador
Gazebo tem como principal foco a sua aplicação na monitorização de incêndios florestais.
Num futuro próximo este projeto envolve testar o algoritmo e a simulação desenvolvidos
num drone real dentro dos limites do laboratório
Anderson localization on the Falicov-Kimball model with Coulomb disorder
The role of Coulomb disorder is analysed in the Anderson-Falicov-Kimball
model. Phase diagrams of correlated and disordered electron systems are
calculated within dynamical mean-field theory applied to the Bethe lattice, in
which metal-insulator transitions led by structural and Coulomb disorders and
correlation can be identified. Metallic, Mott insulator, and Anderson insulator
phases, as well as the crossover between them are studied in this perspective.
We show that Coulomb disorder has a relevant role in the phase-transition
behavior as the system is led towards the insulator regime
Financial reporting about provisions: evidence from Portuguese listed companies
A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and EconomicsThis project provides evidence about the practices of financial reporting regarding provisions namely presentation, recognition, measurement and disclosure in the consolidated annual reports in 2010 and 2009 of Portuguese non-financial companies listed in the Euronext Lisbon.
Moreover it updates the findings of previous literature, analyzes the compliance with IAS 37 and identifies its main issues. The findings suggest that there exists room for improvement of provisions reporting in Portugal, as requirements are in some cases not followed in full and there is unclear information, so the research recommends to regulators, preparers and users in order to address those issues
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