This paper proposes an approach for pedestrian tracking using dead reckoning enhanced with a mode detection standard smartphone. The represents specific state of carrying device, and it is automatically detected while person walking. presents new approach, which extends enhances previous methods by identifying in real-time three typical modes the device identified to enhance accuracy. way all unconstrained offer reliable person-independent tracking. Based on identification modes, lightweight...

Disruption prediction has made rapid progress in recent years, especially machine learning (ML)-based methods. Understanding why a predictor makes certain can be as crucial the prediction's accuracy for future tokamak disruption predictors. The purpose of most predictors is or cross-machine capability. However, if model interpreted, it tell samples are classified precursors. This allows us to types incoming and gives insight into mechanism disruption. paper designs called Interpretable...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</i> Common pain assessment approaches such as self-evaluation and observation scales are inappropriate for children they require patients to have reasonable communication ability. Subjective, inconsistent, discontinuous in may reduce therapeutic effectiveness thus affect their later life. xmlns:xlink="http://www.w3.org/1999/xlink">Methods:</i> To address the need suitable measures,...

To evaluate the stress response during general anesthesia intubation using Safe Easy Endotracheal Kit-flexible (SEEKflex) with a video laryngoscope. From January to May 2023, 95 patients scheduled for elective surgery under were randomly assigned either traditional tube core group (n = 48) or SEEKflex-guided 47). Vital signs and first success rate recorded from pre-intubation 2 minutes post-intubation. The trial was registered Chinese Clinical Trial Registry (ChiCTR2200066808). incidence of...

ABSTRACT High‐quality retinal fundus images are widely used by ophthalmologists for the detection and diagnosis of eye diseases, diabetes, hypertension. However, in imaging, reduction image quality, characterized poor local contrast non‐uniform brightness, is inevitable. Image enhancement becomes an essential practical strategy to address these issues. In this paper, we propose a method that emphasizes details equalizes based on decomposition. First, original decomposed into three layers...

In this study, three decision fusion strategies in synthetic aperture radar (SAR) image target recognition for classification of ground vehicles the Moving and Stationary Target Acquisition Recognition public release database are proposed. These include multi-view strategy, multi-feature strategy multi-classifier strategy. each view implements its process individually provides only from classifier to fuser. a variety feature extraction algorithms used extract features an separately extracted...

Pedestrian dead reckoning is a common technique applied in indoor inertial navigation systems that able to provide accurate tracking performance within short distances. Sensor drift the main bottleneck extending system long-distance and long-term tracking. In this paper, hybrid integrating traditional pedestrian based on use of measurement units, short-range radio frequency particle filter map matching proposed. The drift-free where position error sensor regularly corrected reliable...

A real‐time lossless compression technique for ECG signals, which benefits wearable medical devices with stringent low‐power requirements, is presented. The waveform automatically classified into four regions according to its fluctuation features and the most suitable prediction method adaptively selected from several linear methods different regions. Further proposed use of a modified variable length code encode difference simpler transmit format. Experimental results based on three...

Two fusion strategies for target recognition using multiaspect synthetic aperture radar (SAR) images are presented recognizing ground vehicles in MSTAR database.Due to crosssection variability, the ability discriminate between targets varies greatly with aspect.Multi-aspect of a given used support recognition.In this paper, two multi-aspect SAR proposed, which data strategy and decision strategy.The performance sensitivity number aspect separations is analyzed those strategies.The also...

With the advent of era big data, crowdsourcing platform on Internet has been rapidly developed and popularized. As a business model that gathers wisdom groups, solves problems flexibly effectively, attracted more attention participation from people. However, essential characteristics for all free organizations make it an urgent problem to ensure quality identify cheating workers quickly. This paper studies strategies prediction models controlling quality. By means regression analysis, trust...

Image recognition has long been one of the research hotspots in computer vision tasks. The development deep learning is rapid recent years, and convolutional neural networks usually need to be designed with fixed resources. If sufficient resources are available, model can scaled up achieve higher accuracy, for example, VggNet, ResNet, GoogLeNet, etc. Although accuracy large-scale models improved, following problems will occur expansion scale: (1) There may over-fitting; (2) increasing...

Upper limb tremor is a prominent symptom of both Parkinson's disease and essential tremor. Its kinematic parameters overlap substantially for these two pathological conditions, thus leading to high rate misdiagnosis, especially community doctors. Several groups have proposed various methods improving differential diagnosis. These prior studies attempted identify better parameters, however they mainly focused on single features including intensity, frequency, variability. In this paper, we...

This paper proposes an approach for pedestrian tracking using dead reckoning on a standard smartphone. Previous studies report pedestrians when the mobile device is carried in defined way within period. presents new which extends and enhances previous methods by identifying three typical modes of carrying during walking that fact to enhance accuracy. Based real-time identification modes, light-weight step based algorithm developed with novel length estimation model. The system implemented...

Intrauterine life represents a window of phenotypic plasticity which carries consequences for later health in adulthood as well subsequent generations. growth-restricted fetuses (intrauterine growth restriction [IUGR]) have higher risk pulmonary arterial hypertension adulthood. Endothelial dysfunction, characterized by hyperproliferation, invasive migration, and disordered angiogenesis, is hallmark pathogenesis. Growing evidence suggests that intergenerational transmission disease, including...

Groupitizing is a well-established strategy in numerosity perception that enhances speed and sensory precision. Building on the ATOM theory, Anobile proposed sensorimotor system, which posits strong link between number action. Previous studies using motor adaptation technology have shown high-frequency leads to underestimation of perception, while low-frequency overestimation. However, impact groupitizing, whether visual motion produces similar effects, remain unclear. In this study, we...

This paper presents a lightweight synthesis algorithm, named adaptive region segmentation based piecewise linear (ARSPL) for reconstructing standard 12-lead electrocardiogram (ECG) signals from 3-lead subset (I, II and V2). Such algorithm is particularly suitable healthcare mobile devices with limited resources computing, communication data storage. After detection of R-peaks, the ECGs are segmented by cardiac cycles. Each cycle further divided into four regions according to different...

Introduction There is a variety of tools being used in clinical practice for the prediction weaning success from mechanical ventilation. However, their diagnostic performances are less than satisfactory. The purpose this study to investigate value serial changes diaphragm function measured by ultrasound during spontaneous breathing trial (SBT) as predictor. Methods and analysis This prospective observational conducted 10-bed medical emergency intensive care unit (EICU) university-affiliated...

Short-reach nanophotonic interconnects are promising to solve the communication bottleneck in data centers and chip-level scenarios. However, sensitive process thermal variations, especially for microring structures, resulting significant variation of an optical link's bit error rate (BER). In this paper, we propose a power-efficient adaptive tuning approach address issues. During process, each interconnect is adaptively allocated just enough power meet BER requirement. The proposed could...

We propose an end-to-end deep learning method to detect sleep arousals, especially non-apnea which is the aim of Physionet/CinC Challenge 2018.We use filtered multi-physiological signals as input network without any other hand-crafted features.The automatically selects best features match arousal targets that we want identify, and outputs test result.The proposed architecture a 35-layer convolutional neural (CNN) with three parts: linear spatial filtering 1 CNN layer, 33-layer Residual...

Background: Neonatal pain assessment (NPA) represents a huge global problem of essential importance, as timely and accurate neonatal is indispensable for implementing management. Purpose: To investigate the consistency scores derived through video-based NPA (VB-NPA) on-site (OS-NPA), providing scientific foundation feasibility adopting VB-NPA results in real-world scenario gold standard clinical studies labels artificial intelligence (AI)-based (AI-NPA) applications. Setting: A total 598...

To evaluate the procedural pain experienced by neonates in a neonatal intensive care unit (NICU) setting and determine corresponding grades.Two nurses independently used Neonatal Infant Pain Scale (NIPS) to during procedures taking place tertiary NICU two level-two units Children's Hospital of Zhejiang University School Medicine. The mean distribution NIPS scores grades participants when experiencing clinical painful were analysed.A total 957 exposed 15 common included study. could be...

This paper presents a three-dimension localization algorithm for wireless sensor network (WSN) nodes based on support vector machine (SVM). First, distances between to all anchor in are estimated. Distance vectors constructed each node. the considered as training feature SVM and that unknown regarded testing vectors. The trained is applied class distance locate cubic units nodes. Then, unit centroids used estimated locations of experimental results indicate proposed has small error...

Short-reach nanophotonic interconnects are promising to solve the communication bottleneck in data centers and chip-level scenarios. However, sensitive process thermal variations, especially for microring structures, resulting significant variation of an optical link's bit error rate (BER). In this paper, we propose a power-efficient adaptive tuning approach address issues. During process, each interconnect is adaptively allocated just enough power meet BER requirement. The proposed could...