Weather radar simulation technology has many applications in civil aviation, military and other fields. Using the emulator, weather radar signals from the past can be observed repeatedly. With the development of elect...
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With the continuous access of massive data, devices, and emerging applications to the Internet, network complexity and network management are facing unprecedented challenges. Therefore, it is urgent to optimize networ...
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This study presents a Bilateral Long Short-Term Memory with Attention (BiLSTM-Attention) based model for accurate prediction of multivariate time-series data. The model combines an attention mechanism with a bi-direct...
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Following customized and simplified concepts, a data cloud platform was designed which serves rapid detection of food, medicine, and cosmetics. At present, cloud computing is no longer just a type of distributed compu...
Following customized and simplified concepts, a data cloud platform was designed which serves rapid detection of food, medicine, and cosmetics. At present, cloud computing is no longer just a type of distributed computing, but a new idea that is constantly evolving and improving through a combination of various computer technique. Under the wave of cloud computing, the developed data cloud platform is committed to transforming suspicious samples into the conclusions required by users in a one-stop way. Informing them by authorized terminals through 5G networks, it systematically connects a complete application chain with rapid detection equipment. The data cloud platform employs webpages as a carrier, which can facilitate the usage of mobile terminals for access and subsequent visualization operations.
Deepfake detection is increasingly critical in security and digital forensics. Our research presents a novel method that synergizes dynamic frequency domain analysis with attention mechanisms to discern Deepfakes more...
Deepfake detection is increasingly critical in security and digital forensics. Our research presents a novel method that synergizes dynamic frequency domain analysis with attention mechanisms to discern Deepfakes more effectively. This approach is developed in response to the inadequacies of existing techniques when confronted with sophisticated image alterations. By leveraging frequency domain subtleties and an advanced attention mechanism, our model achieves heightened accuracy in identifying key facial anomalies. Our experimental results show that DFAM could yield 93.94% accuracy rate which is the best compared with state-of-the-arts on Deepfakes dataset.
Based on 3D printing technology, a cylinder head assembly of rotary valve engine was developed and trial- produced in this paper. The structure of the assembly, the lubrication system, sealing system and cooling syste...
Based on 3D printing technology, a cylinder head assembly of rotary valve engine was developed and trial- produced in this paper. The structure of the assembly, the lubrication system, sealing system and cooling system are designed. Using 3D metal printing technology, the production of sample blank is completed, and the machining centre is used to complete the finishing of parts. The structural rationality of the design and the feasibility of 3D metal printing are verified by the installation. This study can provide some reference for the design and development of new power system.
Aiming at the problems of poor autonomous flight performance and low control precision of traditional helicopter. In this paper, taking the Black Hawk helicopter as the research example, the six-degree-of-freedom heli...
Aiming at the problems of poor autonomous flight performance and low control precision of traditional helicopter. In this paper, taking the Black Hawk helicopter as the research example, the six-degree-of-freedom helicopter model is established, the helicopter four-dimensional flight guidance and control system is designed, and the helicopter four-dimensional flight guidance and control technology is studied. The simulation results show that the helicopter four-dimensional flight guidance and control system can track the four-dimensional flight trajectory effectively, and the research results can improve the autonomous flight performance of the helicopter. Especially the ability of four-dimensional flight mission execution has a certain reference significance.
In recent years, pretrained language models have demonstrated outstanding performance across various reading comprehension datasets. However, the logical reasoning task demands a higher level of logical reasoning abil...
In recent years, pretrained language models have demonstrated outstanding performance across various reading comprehension datasets. However, the logical reasoning task demands a higher level of logical reasoning ability. In many existing research methods, there is a tendency to concentrate on uncovering the logical structure between context and options while overlooking the crucial role of ‘questions.’ This paper proposes Question-Driven Semantic Enhancement (QDSE) to augment the semantic expression of context and options by utilizing questions as filters. Furthermore, our method can serve as available auxiliary modules for other methods based on token embedding. Experiments indicate that our method enhances the semantic information of token embedding, improving the performance of the baseline model.
Introductory programming courses at university level often face the challenge of having to initiate learning to large student groups with a wide range of prior knowledge. We present a teaching concept that supports in...
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ISBN:
(纸本)9798400701399
Introductory programming courses at university level often face the challenge of having to initiate learning to large student groups with a wide range of prior knowledge. We present a teaching concept that supports individual students' self-learning through online tutorials and programming project work with automated tests on one hand and regular face-to-face project discussion meetings with teaching assistants (TAs) on the other hand. In our teaching approach, TAs take on a new central role with more responsibility by coaching students individually and providing personal feedback. By individualizing and decentralizing the courses with one-to-one tutoring by TAs, they seem to be better adapted to the different needs of individual learners.
One of the most rapidly developing technologies that helps reduce the amount of work done by humans is known as 'home automation.' People who are looking for luxury and sophisticated home automation platforms ...
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