Implantable medical devices (IMDs) are used in the human body for the treatment of diseases affecting the nervous, circulatory, and endocrine systems [1-3,5]. Charging the battery embedded in IMDs using conductors pos...
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With the development of technology, the intelligence of traditional engineering becomes particularly important. currently, the effects of the CBAM attention mechanism and data augmentation on YOLOv5s-based object dete...
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The increase in electric vehicle mobility has facilitated the development of grid-to-vehicle (G2V) and vehicle to grid (V2G)technologies. Electricity can flow both ways between the grid and the batteries of electric v...
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To address the challenge of estimating the occurrence time of Tree contact Single-phase-to-ground Fault in overhead conductors, a 10 kV conductor-to-tree real-scale test platform was established. By observing the expe...
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current DSL environments lack smart editing facilities intended to enhance modeler productivity and cannot keep pace of currentdevelopments of integrated development environments based on AI. In this paper, we propos...
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ISBN:
(纸本)9798400705045
current DSL environments lack smart editing facilities intended to enhance modeler productivity and cannot keep pace of currentdevelopments of integrated development environments based on AI. In this paper, we propose an approach to address this shortcoming through a recommender system specifically tailored for textual DSLs based on the fine-tuning of pre-trained language models. We identify three main tasks: identifier suggestion, line completion, and block completion, which we implement over the same fine-tuned model and we propose a workflow to apply these tasks to any textual DSL. We have evaluated our approach with different pre-trained models for three DSLs: Emfatic, Xtext and a DSL to specify domain entities, showing that the system performs well and provides accurate suggestions. We compare it against existing approaches in the feature name recommendation task showing that our system outperforms the alternatives. Moreover, we evaluate the inference time of our approach obtaining low latencies, which makes the system adequate for live assistance. Finally, we contribute a concrete recommender, named ModelMate, which implements the training, evaluation and inference steps of the workflow as well as providing integration into Eclipse-based textual editors.
If the fundamental parameters of markets alter due to regulatory, technological, or consumer-driven changes, companies are urged to position themselves for growth opportunities in new markets and to initiate comprehen...
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ISBN:
(纸本)9781665488174
If the fundamental parameters of markets alter due to regulatory, technological, or consumer-driven changes, companies are urged to position themselves for growth opportunities in new markets and to initiate comprehensive transformation processes. As shown by the example of the automotive industry, proactive adoption of new technologies and business areas is imperative to maintain competitiveness in this sector. Digitization, decarbonization, and new mobility concepts are confronting the industry with one of the most tremendous structural changes in the history of the automotive industry. For an economy dependent on the automotive industry, this far-reaching transformation threatens thousands of jobs in this sector and a country's economic performance. Despite the high necessity to adapt, the industry, as well as policymakers, often lack strategies for structural change as well as for future investments. In scientific literature, a lack of methods to identify and evaluate development prospects for industries and value chains can be observed: Existing approaches either partially support strategy- and future-oriented decisions or their methodology is too complex and focused on individual companies. A systematic approach is necessary to derive sustainable corporate strategies and direct investments and subsidies of industrial and technology policies to the most promising technology fields. This paper will outline a conceptual approach to systematically derive development paths for industries in structural transformation processes based on the current state-of-the-art. The proposed methodology will therefore mainly benefit policymakers and industry analysts.
In the current context of global energy challenges and evolving development trends, the significance of battery balancing technology has become increasingly apparent. It plays a pivotal role in addressing the inconsis...
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Information hiding technology is increasingly prominent in the current informatics research of biology, environment, ecology and other disciplines. Based on the analysis of the characteristics and principles of inform...
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Ultrasound is widely used in clinical practice due to its affordability, portability, and safety. However, current AI research often overlooks combined disease prediction and tissue segmentation. We propose UniUSNet, ...
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The current loop is significant for disturbance rejection performance in interior permanent magnet synchronous motor (IPMSM) drive system. This article presents a robust current model predictive control method which s...
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