Background: Plaque progression is an independent risk factor for major adverse cardiovascular events (MACE), and change in the total plaque burden (PB) a common indicator of progression. However, type component (calcification or non-calcification) magnitude changes cannot be determined. We aimed to analyze capability percent calcified PB (PCPB) reflecting its noncalcified change, predictive value PCPB MACE. Methods: Patients who received two more coronary computed tomographic angiography...

This study is concerned with the navigational state estimation problem for a class of networked spatial‐navigation systems subject to random parametric uncertainties (RPUs) and communication link failures (CLFs). The observations novel systems, comprising remote‐access neighbours' states relative measures, are communicated through wireless packets, thus exposed impacts RPUs CLFs. In this study, decentralised moving‐horizon approach introduced handle these ill‐conditioned issues, comprises...

Clustering Algorithm is a kind of key technique used to reduce energy consumption, which can increase network scalability and lifetime.The main goal this research concerning protocols contain in-motion sensor nodes in large-scale topologies, constitute fleet wireless assistant in-flight localization alignment for carrier-based aircraft.In paper, we abstract model according specific conditions F-WSN, select performance indicators evaluate it.A distributed multiple-weight data gathering...

To assess the effects of two different nutritional mode on occurrence ventilator-associated pneumonia (VAP) in patients mechanical ventilation.70 admitted to ICU and under ventilation, were randomly divided into nasointestinal tube group nasogastric group. Patients from both groups received enteral nutrition, using same agent, through intubation. The duration stay ICU, incidence VAP, state, survival intestinal tract compared between groups.The ventilation VAP was lower than that (P<0.05)....

Accurate evaluation of the risk level and operation performances P2P online lending platforms is not only conducive to better functioning information intermediaries but also effective protection investors’ interests. This paper proposes a genetic algorithm (GA) improved hybrid kernel support vector machine (SVM) with an index system construct such model. A consisting polynomial function radial basis improved, specifically parameters weight two kernels, by GA method excellent global...

In this paper, the navigational state estimation problem is investigated for a class of networked spatial-navigation systems with quantization effects, mixed time-delays, and network-based observations (i.e. complementary measurements regional estimations). A decentralized moving horizon approach, featuring reorganization recursive procedure, proposed to tackle problem. First, through reorganized scheme, random delayed system reconstructed into an equivalent delay-free one without...

Simultaneous localization and mapping (SLAM) is a necessary prerequisite to make mobile vehicle truly autonomous, which hot research topic today. FastSLAM as successful SLAM method abstracts many researchers' attentions. factors the problem into in landmark position estimated by EKF. A modified presented for uninhabited aerial (UAV), using UKF replace EKF estimate position. So we can improve estimation precision, at same time no need linearize sensor observation model compute its Jacobian matrix.

Based on the theory of twisted lever-arm effect, this paper provided a new model for effect caused by shipboard weapons' transfer-alignment, not considering dynamic twist. Deflection angle second-order Markov process was established and set up in simulink. Composed with non-twisted result showed that acceleration error twist large need compensated.

The main goal of this research is concerning protocols to contain in-motion sensor nodes in large-scale topologies, and constitute a fleet wireless network which can assistant in-flight localization alignment for carrier-based aircraft. In paper, we abstract model according specific conditions F-WSN, select performance indicators evaluate it. A distributed multiple-weight data gathering aggregation protocol (DMDG) proposed, contains all-sided active clustering scheme realizes long-range...

The necessity recurrently comes to align a strapdown inertial navigation system (SINS) in moving vehicle guarantee the accuracy and efficiency long run-off of after take-off or launch command is issued.This in-flight alignment therefore achieved by integrating SINS data with some external aiding source inlcluding airborne equipments networking sensors.In this paper, localization architecture scheme presented for aircraft three-demensional fleet network, which based on wireless sensor...

This article deals with the decentralized navigational state estimation problem for a class of networked navigation systems, in order that average performance system carriers is guaranteed over given finite-horizon. The observations novel system, comprising cooperative information neighbors and locally relative measures, are transmitted through randomly switching topology network finite channel capacity, thus exposed to impacts quantization effect, saturation, colored noise. In this study,...

In the realm of artificial intelligence and musicology, emotion recognition in music performance has emerged as a pivotal area research. This paper introduces EmoTrackNet, an integrated deep learning framework that combines sparse attention networks, enhanced one-dimensional residual Convolutional Neural Networks (CNNs) with improved Inception module, Gate Recurrent Units (GRUs). The synergy these technologies aims to decode complex emotional cues embedded music. Our methodology revolves...

Compared with conventional dynamic nonlinear equation systems, a hybrid double-deck system (H3DNES) not only has multiple layers describing more different tasks in practice, but also structure of solution and its derivative their constraints. Its characteristics lead to the ability describe complicated problems involving constraints, strong features, such as robot manipulator tracking control. Besides, noises are inevitable practice thus robustness models solving H3DNES is necessary. In this...

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This paper considers the nolinear system robust estimation problem with measurement time delay. The purpose is to provide algorithm for inertial navigation nonlinear error model in transmittion delay case. Considering that innovation regroup method can treat better no addition of state dimension, and decrease computation, therefore, combined extended set-membership deduce distrete delay, realize varying treatment At last, apply carrier aircraft in-flight alignment validate effecitiveness.

This paper is concerned with the dynamic Markov jump filters for discrete-time uncertain system random delays in observations. By applying measurement reorganization approach, further transformed into delay-free one parameters. Then estimator derived by using regularized least-squares and filter theories. At last, a simulation example given to illustrate effectiveness of proposed result.

Networked navigation system (NNS) enables a wealth of new applications where real-time estimation is essential. In this paper, an adaptive horizon estimator has been addressed to solve the navigational state problem NNS with features remote sensing complementary observations (RSOs) and mixed LOS/NLOS environments. our approach, it assumed that RSOs are essential local processor but suffer from random transmission delay; jump Markov modeled switching parameters corresponding errors. An...