Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Endler, markus"'
In the research on FANETs (Flying Ad-Hoc Networks) and distributed coordination of UAVs (Unmanned Aerial Vehicles), also known as drones, there are many studies that validate their proposals through simulations. Simulations are important, but beyond
Externí odkaz:
http://arxiv.org/abs/2404.00113
Context: Machine Learning Operations (MLOps) has emerged as a set of practices that combines development, testing, and operations to deploy and maintain machine learning applications. Objective: In this paper, we assess the benefits and limitations o
Externí odkaz:
http://arxiv.org/abs/2403.13115
This work discusses the benefits of having multiple simulated environments with different degrees of realism for the development of algorithms in scenarios populated by autonomous nodes capable of communication and mobility. This approach aids the de
Externí odkaz:
http://arxiv.org/abs/2403.12753
Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about
Externí odkaz:
http://arxiv.org/abs/2305.10408
Autor:
Baldansa, Clara R. P., Porto, Roberto C. G., de Souza, Bruno José Olivieri, Carneiro, Vítor G. Andrezo, Endler, Markus
This paper shows that, when considering outdoor scenarios and wireless communications using the IEEE 802.11 protocol with dipole antennas, the ground reflection is a significant propagation mechanism. This way, the Two-Ray model for this environment
Externí odkaz:
http://arxiv.org/abs/2211.10699
Autor:
V., Marcelo Paulon J., de Souza, Bruno José Olivieri, Lamenza, Thiago de Souza, Endler, Markus
Testing network algorithms in physical environments using real hardware is an important step to reduce the gap between theory and practice in the field, and an interesting way to explore technologies such as Bluetooth Mesh. We implemented a Bluetooth
Externí odkaz:
http://arxiv.org/abs/2211.10696
Autor:
Perricone, Breno, Lamenza, Thiago, Paulon, Marcelo, de Souza, Bruno Jose Olivieri, Endler, Markus
In many kinds of research, collecting data is tailored to individual research. It is usual to use dedicated and not reusable software to collect data. GrADyS Ground Station framework (GrADyS-GS) aims to collect data in a reusable manner with dynamic
Externí odkaz:
http://arxiv.org/abs/2204.00488
This technical report describes GrADyS-SIM, a framework for simulating cooperating swarms of UAVs in joint mission in hypothetical landscape and communicating through RF radios. The framework was created to aid and verify the communication, coordinat
Externí odkaz:
http://arxiv.org/abs/2202.08134
GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks
Several situations exist where a geographic region of some size needs to be scanned or monitored through many sensors. Still, it is either absolutely impossible or prohibitively expensive to deploy and maintain wireless communication infrastructure f
Externí odkaz:
http://arxiv.org/abs/2012.10690
Today most applications continuously produce information under the form of streams, due to the advent of the means of collecting data. Sensors and social networks collect an immense variety and volume of data, from different real-life situations and
Externí odkaz:
http://arxiv.org/abs/2002.05869