Nonlinear differential equations rarely admit closed-form solutions, thus requiring numerical time-stepping algorithms to approximate solutions. Further, many systems characterized by multiscale physics exhibit dynamics over a vast range of timescales, making integration expensive. In this work, we develop hierarchy deep neural network time-steppers the dynamical system flow map time-scales. The model is purely data-driven, enabling accurate and efficient forecasting. Similar ideas can be...

This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without microphone where users control the with spoken commands; commands are then recognized by well-trained deep neural network model of automatic speech recognition (ASR), which enables to and complete command based on navigation real-time simultaneous localization mapping (SLAM) algorithm. The interaction divided into two parts: (1) speaker...

Abstract Building reduced-order models (ROMs) is essential for efficient forecasting and control of complex dynamical systems. Recently, autoencoder-based methods building such have gained significant traction, but their demand data limits use when the scarce expensive. We propose aiding a model’s training with knowledge physics using collocation-based physics-informed loss term. Our innovation builds on ideas from classical collocation numerical analysis to embed known equation into...

We investigate the spontaneous emission of a quantum emitter (QE) placed near twisted hyperbolic metasurfaces (HMTSs) made graphene strips. demonstrate that can be enhanced distinctly due to existence moiré plasmon polaritons (HPPs) supported by HMTSs. Moreover, decay rate efficiently modulated chemical potential graphene, thickness dielectric spacer, and twist angle between two The maximum is achieved when topological transition occurs. will as spacer increases for most cases. In...

In the reconstructed nonlinear force-free magnetic field of NOAA Active Region 9077 before X5.7/3B (10:24 UT) flare on 2000 July 14, we reveal for first time presence a rope from extrapolation three-dimensional structure. This is located in space above neutral lines filament. The calculated rotate around its axis more than three turns. Overlying are multilayer arcades with different orientations. These agreement Transition and Coronal Explorer observations. estimated free energy this system...

Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s different industries, ranging from advanced manufacturing to biomedical systems resilient ecosystems, civil infrastructures, smart cities, healthcare. They have become indispensable for solving complex problems in science, engineering, technology development. The purpose MMLDT-CSET 2021 conference is facilitate transition ML DT fundamental research mainstream fields technologies through data mechanistic methods,...

Nonlinear differential equations rarely admit closed-form solutions, thus requiring numerical time-stepping algorithms to approximate solutions. Further, many systems characterized by multiscale physics exhibit dynamics over a vast range of timescales, making integration computationally expensive due stiffness. In this work, we develop hierarchy deep neural network time-steppers the flow map dynamical system disparate time-scales. The resulting model is purely data-driven and leverages...

We propose a multi-resolution convolutional autoencoder (MrCAE) architecture that integrates and leverages three highly successful mathematical architectures: (i) multigrid methods, (ii) autoencoders (iii) transfer learning. The method provides an adaptive, hierarchical capitalizes on progressive training approach for multiscale spatio-temporal data. This framework allows inputs across multiple scales: starting from compact (small number of weights) network low-resolution data, our...

In this paper, we propose two efficient approaches for named entity recognition (NER) from spoken documents. The first approach used a very data structure, the PAT trees, to extract global evidences whole documents, be with well-known local (internal and external) popularly by conventional approaches. basic idea is that (NE) may not easily recognized in certain contexts, but become much more when its repeated occurrences all different sentences same document are considered jointly. This...

The convergence of software‐defined networking (SDN) and the Internet Things (IoT) provides a scalable method for handling considerable volumes data produced by IoT devices. However, lack appropriate security measures can lead to unauthorized access sensitive data, potential breaches, privacy violations, as well time‐consuming inefficient retrieval methods in SDN‐IoT systems that require decrypting entire dataset. To address these challenges, this article proposes time‐attribute‐based...

Bcr-Abl is successfully applied to drug discovery as a CML therapeutic target, but point mutation resistance has become major challenge in the clinical treatment of CML. Our previous studies have shown that introduction amino acids flexible linkers and heterocyclic structures HBMs can achieve potent inhibition

With the development of society and progress science, network technology is changing living state modern people little by little. It also brings some challenges opportunities to field education in China. Nowadays, learning platform Big Data provides a lot convenience for English teaching colleges universities At present, many do not realize importance online mode English. Many teachers still adhere traditional idea adopt full hall irrigation, which leads extremely low quality interest...

A Woods—Saxon potential is introduced to serve as initial conditions for an iterative solution of the exotic nuclei in relativistic mean field approach. Effects parametrization on single particle orbits around Fermi surface are investigated 66Ca. semi-parabolic curve orbital radius appears when width central changes. The pseduospin splitting more sensitive than depth and diffuseness. spin-orbit

A series of solar radio bursts were observed in AR NOAA 10486 with the Solar Broadband (1.1–7.6 GHz) Radio Spectrometers (SBRS China). Here we analyze four significant events associated CME and strong X-ray flares that occurred on 2003 October 22, 26, 27, 29. The Oct. 26 event is a long duration (LDE) drift pulsation structure (DPS), narrowband dm-burst (DCIM), more than seven types Fine Structures (FSs); its time maximum flux (07:30 UT) about half an hour later X-flare (06:54 UT).

Shahe Station of our Solar Radio Group has suffered from radio interference in recent years, so we decided to move solar telescopes Huairou BAO. We measured at both sites recently and found that the is more serious than Huairou. Although low single working frequency, do find some within band Shahe. It comparatively quiet suitable for placement instruments there.

With the vigorous development of Internet Things (IoT), technologies based on IoT have been widely used in various fields. Among them, electronic auction technology has applied. The traditional scheme cannot be flexibly applied scenario and most schemes often only one authority, which a great burden operation low efficiency, resulting single-point performance bottleneck. In order to solve above problems, we use hierarchical multiple authorities system propose Robust Auction with Multiple...