A transformer having efficiency of 80% is working on 200 V and 2 kW power supply. If the current in the secondary coil is 8A, the voltage across the secondary coil and the current in the primary coil respectively are View Solution
A transformer efficiency chartDetails of a simple abac which should prove helpful to transformer designersArmitage, J. GordonStudents' Quarterly Journal
A transformer consists of 500 turn in primary coil and 10 turns in secondary coil with the load of10Ω.Find out current in the primary coil when the voltage across secondary coil is 50 V. A transformer consists of 500 turn in primary coil and 10 turns in secondary coilk with the load ...
此外,XLNet将最先进的自回归模型Transformer-XL的创意整合到预训练中。根据经验性测试,XLNet在20个任务上的表现优于BERT,并且往往有大幅度提升,并在18个任务中实现最先进的结果,包括问答,自然语言推理,情感分析和文档排序。 Multi-task deep neural networks for natural language understanding --- MT-DNN--- by ...
addressing limitations of both specialist and generalist models. Platypus leveragesa single unified architectureto effectively recognize text invarious forms, maintaining high accuracy and efficiency. We also introduce anew datasetWormswhich combines and partially re-labels previous datasets to support the mod...
We fine-tuned the UTR-LM in a variety of downstream tasks. The model outperformed the best known benchmark by up to 5% for predicting the mean ribosome loading, and by up to 8% for predicting the translation efficiency and the mRNA expression level. The model was also applied to ...
The MAIN model incorporates multiple independent feature extraction modules tailored to each modality, including self-attention and time-aware Transformer for medical codes, and a CNN model for clinical notes. It also introduces an inter-modal correlation extraction module composed of a low-rank ...
Today, the Transformer model, which allows parallelization and also has its own internal attention, has been widely used in the field of speech recognition. The great advantage of this architecture is the fast learning speed, and the lack of sequential operation, as with recurrent neural networks...
Second, we analyze Transformer-based applications in the histopathological imaging domain and provide a thorough evaluation of more than 100 research publications across differ- ent downstream tasks to cover the most recent innovations, including survival analysis and prediction, ...
As a result, the converter achieves a 52% peak efficiency and a 1.1 W output power. However, a magnetic core transformer is fabricated by combining a microplating and magnetic core deposition process, which increases the fabrication cost and limits the overall package size in terms of ...