A parallelization approach implemented in a cluster with a shared file system has been considered in the paper. The study presents metrics of parallelization for running tasks of C language nested loops analysis in a ...
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Network intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. Indeed, the development of deep learning techniques paved the wa...
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Network intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. Indeed, the development of deep learning techniques paved the way to build more complex and effective threat detection models. However, training those models may be computationally infeasible in most Edge or IoT devices. Current approaches rely on powerful centralized servers that receive data from all their parties — violating basic privacy constraints and substantially affecting response times and operational costs due to the huge communication overheads. To mitigate these issues, Federated Learning emerged as a promising approach, where different agents collaboratively train a shared model, without exposing training data to others or requiring a compute-intensive centralized infrastructure. This work presents GöwFed , a novel network threat detection system that combines the usage of Gower Dissimilarity matrices and Federated averaging . Different approaches of GöwFed have been developed based on state-of the-art knowledge: (1) a vanilla version — achieving a median point of [0.888, 0.960] in the PR space and a median accuracy of 0.930; and (2) a version instrumented with an attention mechanism — achieving comparable results when 0.8 of the best performing nodes contribute to the model. Furthermore, each variant has been tested using simulation oriented tools provided by TensorFlow Federated framework. In the same way, a centralized analogous development of the Federated systems is carried out to explore their differences in terms of scalability and performance — the median point of the experiments is [0.987, 0.987]) and the median accuracy is 0.989. Overall, GöwFed intends to be the first stepping stone towards the combined usage of Federated Learning and Gower Dissimilarity matrices to detect network threats in industrial-level networks.
The automatic generation of floorplans given user inputs has great potential in architectural design and has recently been explored in the computer vision community. However, the majority of existing methods synthesiz...
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Continuous aperture array (CAPA) is considered a promising technology for 6G networks, offering the potential to fully exploit spatial DoFs and achieve the theoretical limits of channel capacity. This paper investigat...
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Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of ...
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The flocking motion control is concerned with managing the possible conflicts between local and team objectives of multi-agent systems. The overall control process guides the agents while monitoring the flock-cohesive...
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Sustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performanc...
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Sustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performance of buildings. This paper introduces a dataset about buildings thermal performance and energy consumption in tropical climate depending on adjacent outdoor enclosed courtyards design features with different architectural shapes U, L, and O. The core data has been collected in public building in Kuala Lumpur, Malaysia. Then it expanded using simulation. The core measured raw data is the temperature and the other data is simulated and/or calculated. The dataset includes detailed design features of courtyards such as plan aspect ratio, number of floors, and orientation. Measurement instruments were calibrated against real-world measurements to ensure accuracy and reliability. The simulated data is tested and validated based on the statistical aspects of the raw data using Pearson correlation coefficient, with a value of 0.882. The dataset includes total 8,685 records across the different courtyard' shapes. This dataset captures intricate relationships between architectural design parameters and energy consumption, making it a valuable resource for architects, engineers, and researchers interested in optimizing building designs for improved energy efficiency. It also allows in-depth analysis and potential reuse in studies related to sustainable architecture and urban planning.
The primary goal of any company is to increase its profits by improving both the quality of its products and how they are advertised. In this context, neuromarketing seeks to enhance the promotion of products and gene...
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There is increasing demand for automated systems that can fabricate 3D structures. Robotic spatial extrusion has become an attractive alternative to traditional layer-based 3D printing due to a manipulator's flexi...
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Circuit boards are one of the key elements of the electronics industry. Because of its demand for portable electronic goods, the production of circuit boards has become more significant. The most significant aspect of...
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