12 documents found, page 1 of 2

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Oromucosal Alginate Films with Zein Nanoparticles as a Novel Delivery System fo...

Rodrigues, Daniela A; Miguel, Sónia P; Loureiro, Jorge; Ribeiro, Maximiano; Roque, Fátima; Coutinho, Paula

Digoxin is a hydrophobic drug used for the treatment of heart failure that possesses a narrow therapeutic index, which raises safety concerns for toxicity. This is of utmost relevance in specific populations, such as the elderly. This study aimed to demonstrate the potential of the sodium alginate films as buccal drug delivery system containing zein nanoparticles incorporated with digoxin to reduce the number o...


Learning cybersecurity in iot-based applications through a capture the flag com...

Junior, Alexandre Oliveira; Funchal, Gustavo Silva; Queiroz, Jonas; Loureiro, Jorge; Pedrosa, Tiago; Parra, Javier; Leitão, Paulo

The Internet of Things (IoT) is one of the main foundations of Industry 4.0, providing widespread connectivity of systems and devices, which promotes significant benefits, such as improved performance, responsiveness, and reconfigurability. However, it also brings some security problems, which make these devices and systems vulnerable to cyberattacks, consequently demanding efficient learning and training initi...

Date: 2022   |   Origin: Biblioteca Digital do IPB

The M-OLAP cube selection problem: a hyper-polymorphic algorithm approach

Loureiro, Jorge; Belo, O.

OLAP systems depend heavily on the materialization of multidimensional structures to speed-up queries, whose appropriate selection constitutes the cube selection problem. However, the recently proposed distribution of OLAP structures emerges to answer new globalization’s requirements, capturing the known advantages of distributed databases. But this hardens the search for solutions, especially due to the inhere...


Selecting and allocating cubes in multi-node OLAP systems: An evolutionary appr...

Loureiro, Jorge; Belo, Orlando

OLAP queries are characterized by short answering times. Materialized cube views, a pre-aggregation and storage of group-by values, are one of the possible answers to that condition. However, if all possible views were computed and stored, the amount of necessary materializing time and storage space would be huge. Selecting the most beneficial set, based on the profile of the queries and observing some constrai...


Swarm quant' intelligence for optimizing multi-node OLAP systems

Loureiro, Jorge; Belo, Orlando

Globalization and market deregulation has increased business competition, which imposed OLAP data and technologies as one of the great enterprise's assets. Its growing use and size stressed underlying servers and forced new solutions. The distribution of multidimensional data through a number of servers allows the increasing of storage and processing power without an exponential increase of financial costs. How...


Optimization of distributed olap cubes with an adaptive simulated annealing alg...

Loureiro, Jorge; Belo, Orlando

The materialization of multidimensional structures is a sine qua non condition of performance for OLAP systems. Several proposals have addressed the problem of selecting the optimal set of aggregations for the centralized OLAP approach. But the OLAP structures may also be distributed to capture the known advantages of distributed databases. However, this approach introduces another term into the optimizing equa...


Swarm intelligence in cube selection and allocation for multi-node OLAP systems

Loureiro, Jorge; Belo, Orlando

The continuous growth of OLAP users and data impose additional stress on data management and hardware infrastructure. The distribution of multidimensional data through a number of servers allows the increasing of storage and processing power without an exponential increase of financial costs. But this solution adds another dimension to the problem: space. Even in centralized OLAP, cube selection efficiency is c...


An evolutionary approach to the selection and allocation of distributed cubes

Loureiro, Jorge; Belo, Orlando

The materialization of multidimensional structures is a common way to speed up OLAP queries. Since there might be a huge number of those structures, a variety of proposals tried to select the most beneficial set, based on the profile of the queries and observing some constraints as materializing space and maintenance time, addressing a centralized storage facility. Only recently, the distributed scenario came t...


Estimating querying and maintenance costs for restructuring data cubes

Loureiro, Jorge; Belo, Orlando

In their daily routine, enterprise decision makers use to analyze huge amounts of information in order to sustain their decisions and, consequently, ensuring success of enterprises business activities. Through time, on-line analytical processing systems have contributed decisively to the decision making process improvement, not only by granting extremely flexible data manipulation mechanisms, but also allowing ...


Establishing more suitable distributed plans for MultiNode-OLAP systems

Loureiro, Jorge; Belo, Orlando

The materialization of multidimensional structures is a common way to speed up mostly aggregation queries. Its proper selection has triggered a huge variety of proposals. Any algorithm that aims to solve the cube selection problem needs a way to estimate query and maintenance costs, as minimizing costs is the objective function. This estimation is harder if a distribution of multidimensional structures is conce...


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