Mantenimiento área industrial

Data and privacy laws, such as the GDPR, require mobile apps that collect and process the personal data of their citizens to have a legally-compliant policy. Since these mobile apps are hosted on app distribution platforms such as Google Play Store and App Store, the app publishers also require the app developers who wish to […]

We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language understanding and generation tasks. During the pre-training and fine-tuning with BERT-NAR-BERT, two challenging aspects are considered by adopting the length classification and connectionist temporal classification models to control the output length

Link prediction in complex networks is a critical process aimed at uncovering hidden or potential connections among nodes. This technique is widely utilized in areas such as knowledge graphs. Current Graph Neural Networks (GNNs) often focus exclusively on determining whether nodes are connected or assessing the strength of these links by leveraging node attributes. They

5G and beyond networks will require fast, energy efficient, and secure initial access. In this study, a deep learning-based secure initial beam selection method is proposed that ranks the beam pairs between a transmitter and a legitimate user aiming to maximize the signal strength the user receives, while keeping the signal strength that the eavesdropper

The rapid advancement of artificial intelligence has observed increased application in predicting vehicle interior noise levels within the automotive industry. However, the collection of labeled data for training models in this context involves significant costs. Previous studies in semi-supervised regression (SSR) have effectively mitigated the reliance on labeled data by incorporating unlabeled data. Nonetheless, these

Line-start synchronous reluctance motors (LSSynRM) combine the high efficiency of synchronous reluctance Motors (SynRM) with the self-starting capability of induction motors. They operate at synchronous speed in steady state and produce minor rotor losses, thereby providing higher efficiency than induction motors and a higher power density. Despite the simple structure of LSSynRM, its analysis, modeling,

With the development of multimedia and information technology, immersive media has been increasingly popular and attracted great attention. The concept of immersive media includes Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), 3D content, etc., which aims to provide or introduce immersive experience to the real-word through influencing human perception. Accordingly, recent years have

Oxide thin-film transistor (TFT) technology is fast and well developed since its first invention, where it is now widely used in flat panel displays. Scaling down the size of oxide TFT to the nanometer regime brings benefits such as higher density integration, faster switching speed and lower operating voltage. This miniaturization allows for very small

Micro-LEDs have emerged as a promising fourth generation display technology with many advantages over traditional displays. However, the mass production of micro-LEDs still faces challenges, particularly in the production of high-quality red micro-LEDs. Low efficiency red micro-LEDs are a major challenge that needs to be overcome. In this paper, we focus on recent advancements in

We believe in the future of connection in the metaverse. The addition of immersive technologies such as augmented reality (AR) and virtual reality (VR) is the next step in this progression. In this paper, we will provide an overview of Meta’s progress in display and optics development for AR and VR. The overview will cover