47 documents found, page 1 of 5
A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogen...
Abbasi, Maryam; Cardoso, Filipe; Vaz, Paulo; Silva, José; Martins, PedroThe emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). This vulnerability has catalyzed accelerated standardization efforts for post-quantum cryptography (PQC) by the U.S. National Institute of Standards and Technology (NIST) an...
Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchma...
Martins, Pedro; Cardoso, Filipe; Vaz, Paulo; Silva, José; Abbasi, MaryamData cleaning remains one of the most time-consuming and critical steps in modern data science, directly influencing the reliability and accuracy of downstream analytics. In this paper, we present a comprehensive evaluation of five widely used data cleaning tools—OpenRefine, Dedupe, Great Expectations, TidyData (PyJanitor), and a baseline Pandas pipeline—applied to large-scale, messy datasets spanning three dom...
Internet of Things-based care monitoring for the elderly and those with special...
Godinho, António; Cardoso, Filipe; Coelho, Paulo Jorge; Pires, Ivan MiguelAs a society, we should provide support and care for individuals who are advanced in age or have special needs. We must offer them the opportunity to lead a safe and comfortable life. Sometimes, addressing simple things can mitigate critical problems. For instance, an improperly functioning heating system can put the users’ lives at risk, and a gas leak can prove fatal if not detected in time. Hence, this study...
Comparison of Semi-structured Data on MSSQL and PostgreSQL
Alves, Leandro; Cardoso, Filipe; Oliveira, Pedro; Rocha, Júlio; Wanzeller, Cristina; Martins, Pedro; Abbasi, MaryamThe present study intends to compare the performance of two Data Base Management Systems, specifically Microsoft SQL Server and PostgreSQL, focusing on data insertion, queries execution, and indexation. To simulate how Microsoft SQL Server performs with key-value oriented datasets we use a converted TPC-H lineitem table. The data set is explored in two different ways, firsts using the key-value-like format and ...
Local e-gov mobile application(s) review
Abbasi, Maryam; Cardoso, Filipe; Holanda, Maria; Almeida, Dany; Silva, José; Martins, PedroThis study aims to evaluate the adoption of e-government services in Portuguese municipalities, specifically focusing on the usage of mobile applications. Data was collected from 40 of the most populous municipalities in Portugal and analyzed for usage of e-government services such as incidents, traffic conditions, and population alerts through mobile apps. The study found a mixed correlation between population...
A scalable smart lighting framework to save energy
Rebelo, João; Rodrigues, Ricardo; Henriques, João; Cardoso, Filipe; Wanzeller, Cristina; Caldeira, FilipeIn the past few decades, the urbanization area increased significantly, requiring enhanced services and applications to improve the lifestyle of its citizens. Lighting is one of the most relevant infrastructures due to its impact on modern societies, but it is also complex to manage them in cities since it involves a massive number of widespread posts and is costly as the result of the consumption of significan...
Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education
Abbasi, Abbasi; Cardoso, Filipe; Silva, José; Martins, Pedrohe technological landscape of cloud computing has transformed significantly with the advent of virtualization, allowing for the provision of computing resources over the internet. The leading cloud computing software providers offer this new concept, and various service providers currently exist, providing options for virtualizing services on-premises as well. OpenStack presents an open-source alternative for b...
Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications U...
Abbasi, Maryam; Cardoso, Filipe; Silva, José; Martins, PedroIn this scientific paper, we present a novel approach to develop energy-efficient Deep Learning models for distributed AIoT applications. Our approach considers the optimization of algorithms, whilealso addressing safety and security challenges that arise in such systems. We propose a modular and scalable cognitive IoT hardware platform that leverages microserver technology, allowing users to customize hardware...
In-Depth Analysis of Mobile Apps Statistics: A Study and Development of a Mobil...
Abbasi, Maryam; Cardoso, Filipe; Lopes, André; Rodrigues, Diogo; Saraiva, João; Martins, Pedro; Sá, FilipeWith the popularity of smartphones and mobile devices, mobile application (a.k.a. “app”) markets have been growing exponentially in terms of the number of users and downloads. To increase user satisfaction, app developers invest a lot of work into gathering and utilizing user input. This paper presents an analysis of the mobile app market through the development of a mobile app. The app provides users with an o...
An IoT-Based Framework for Monitoring Photovoltaic Batteries
Sarmento, Gonçalo; Cardoso, Filipe; Mota, Mickael; Henriques, João; Abbasi, Maryam; Martins, Pedro; Wanzeller, Cristina; Caldeira, FilipeThe need for a more sustainable world is increasing the number of installations of photovoltaic systems including batteries as a way to postpone energy consumption when it is most needed. However, the chemical nature of batteries makes them unreliable and prompt to dangerous situations and can lead to a potential disaster, such as fires and explosions, in case the underline issues keep undetected for a long tim...