In real-time systems optimization, designers often face a challenging problem posed by the non-convex and non-continuous schedulability conditions, which may even lack an analytical form to understand their properties. To tackle this problem, we treat analysis as black box that only returns true/false results. We propose general scalable framework optimize systems, named Numerical Optimizer with Real-Time Highlight (NORTH). NORTH is built upon gradient-based active-set methods from numerical...

Chinese calligraphy is a unique art form with great artistic value but difficult to master. In this paper, we formulate the writing problem as trajectory optimization problem, and propose an improved virtual brush model for simulating real process. Our approach inspired by pseudospectral optimal control in that parameterize actuator each stroke Chebyshev polynomial. The proposed dynamic plays key role formulating objective function be optimized. shows excellent performance drawing...

Based on neural network deep learning, the fault diagnosis of permanent magnet synchronous motor was studied.By creating different sample labels for learning training, interturn short circuit cause;By comparing accuracy networks, has highest in PMSM diagnosis.Compared with traditional method, method genetic can solve problems large knowledge base, low search efficiency, effectively shorten time and maintain stable operation PMSM.

In the optimization of real-time systems, designers often face a challenging problem where schedulability conditions are non-convex, non-continuous, or lack an analytical form to understand their properties. this paper, we propose general and scalable framework for optimizing named Numerical optimizer with Real-Time Highlight (NORTH). NORTH treats analysis as blackbox which may only return true/false results on system schedulability. Built upon active-set methods from gradient-based...

Deep convolutional neural networks (CNNs) are widely used in single image super-resolution (SISR) and provide remarkable performance. However, most existing CNN-based (SR) models focus mainly on designing deep or wide architecture neglect intended detail enhancement, thereby hindering the CNN representational capacity. To resolve this problem, we propose a multi-scale enhancement network (MS-DEN) for SISR. Specifically, introduce extraction module (MS-DEM), which first converts features into...

The nonlinear dynamical behavior of a quantum cellular neural network (QCNN) by coupling quantum-dot automata was investigated. theoretical analysis and simulation for three-cell coupled QCNN has been done using the polarization cell phase as state variables. com plex abundant chaotic behaviors can be observed. Chaotic oscillations occur very easily. Two positive maximum Lyapunov exponents have calculated in ord er to verify hyperchaotic behavior.

This letter takes a first step towards the analysis of safety <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">and</i> performance critical computational tasks for autonomous robots. Our contribution is safety-performance (SP) metric that ensures and then rewards improved real-time tasks, building on notion "nominal safety" which defines timely computation as to safety. To fully utilize computing capacity heterogeneous processing units (e.g.,...

The basic concept of clustering and its correlating research work is firstly present, a new algorithm based on least cell (LCC) proposed analyzed which concerns the advantages disadvantage k-means grid algorithm. This efficient in dealing with huge amounts data can make paralleled processing, proved to be correct, fast through application customer relationship management. It overcomes given value k dense Lastly analysis evaluation given.

Slanting Grounding Rod is a new three-dimensional structure of long grounding rod. In the paper it has been in-depth analysis from both effect resistance reduction and design programs. Different conventional Vertical Rod, there an angle between rod ground's vertical direction. Therefore effectively solve problem that cost are not satisfied when used in soil deep resistivity higher than surface resistivity. By numerical simulation, consider uniform soil, about 1.3 times as same length Rod....

With the increasing popularity of video sharing websites such as YouTube and Facebook, multimodal sentiment analysis has received attention from scientific community. Contrary to previous works in which focus on holistic information speech segments bag words representations average facial expression intensity, we develop a novel deep architecture for that performs modality fusion at word level. In this paper, propose Gated Multimodal Embedding LSTM with Temporal Attention (GME-LSTM(A)) model...

When optimizing real-time systems, designers often face a challenging problem where the schedulability constraints are non-convex, non-continuous, or lack an analytical form to understand their properties. Although optimization framework NORTH proposed in previous work is general (it works with arbitrary analysis) and scalable, it can only handle problems continuous variables, which limits its application. In this paper, we extend applications of hybrid discrete variables. This achieved...

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Modern real-time systems often involve numerous computational tasks characterized by intricate dependency relationships. Within these systems, data propagate through cause-effect chains from one task to another, making it imperative minimize end-to-end latency ensure system safety and reliability. In this paper, we introduce innovative non-preemptive scheduling techniques designed reduce the worst-case and/or time disparity for sets modeled with directed acyclic graphs (DAGs). This is...

Modern real-time systems often involve numerous computational tasks characterized by intricate dependency relationships. Within these systems, data propagate through cause–effect chains from one task to another, making it imperative minimize end-to-end latency ensure system safety and reliability. In this article, we introduce innovative nonpreemptive scheduling techniques designed reduce the worst-case and/or time disparity for sets modeled with directed acyclic graphs (DAGs). This is...

This study explores the prediction of stock price trends in financial market, emphasizing impact investor sentiment and macroeconomic policies. Traditional research often uses mathematical, statistical, or deep learning methods to predict prices but overlooks emotional factors vast unstructured text data, such as news. paper proposes a Bidirectional Encoder Representations from Transformers (BERT)-Transformer model that integrates analysis enhance market prediction. Using news data Oriental...

Equipping real-time systems with soft error resilience can be challenging due to the tradeoff of timing and failure requirements for mixed-criticality tasks. Violation these yields failed task scheduling in one way or another. However, not every requires same degree resilience. For example, low-criticality tasks run low even no resilience, whereas mid- highcriticality may require relatively high depending on their inherent requirement. Unfortunately, existing schemes do have ability control...

Making virtual human's actions more natural and approaching to reality is helpful for enhancing intelligibility of synthesized Chinese sign language (CSL). Usually action with prosody looks vivid means that same word has discriminating style according different context. The problem here how find indicate the As formal description CSL, CSLML provides a set top level tags recording This paper new method finding information context, which utilizing speech sounds. Hidden Markov model (HMM)...

To comprehensively evaluate the safety of large grounding connection, testing and action principle main factors that impact safe operation were analyzed studied, following conclusions drew by theoretical analysis simulation research. While evaluating step voltage touch voltage, it's inadvisable to consider seasonal during selection soil resistivity; direction should be selected based on computation for getting reliable data; eligibility criterion electric integrity connection not 200mΩ but...