86,733 results match your criteria IEEE transactions on ultrasonics ferroelectrics and frequency control[Journal]


Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder.

Eur Radiol 2019 Feb 15. Epub 2019 Feb 15.

Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.

Objective: To develop and validate an individual radiomics nomogram for differential diagnosis between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD).

Methods: We retrospectively collected 67 MS and 68 NMOSD with spinal cord lesions as a primary cohort and prospectively recruited 28 MS and 26 NMOSD patients as a validation cohort. Radiomic features were extracted from the spinal cord lesions. Read More

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http://dx.doi.org/10.1007/s00330-019-06026-wDOI Listing
February 2019

Incorporation of the Living Heart Model into the 4D XCAT Phantom for Cardiac Imaging Research.

IEEE Trans Radiat Plasma Med Sci 2019 Jan 4;3(1):54-60. Epub 2018 Apr 4.

Carl E. Ravin Advanced Imaging Laboratories, the Department of Electrical and Computer Engineering, the Department of Radiology, the Department of Biomedical Engineering, the Medical Physics Graduate Program, and the Department of Physics, Duke University, Durham, NC, 27705 USA.

The 4D extended cardiac-torso (XCAT) phantom has provided a valuable tool to study the effects of anatomy and motion on medical images, especially cardiac motion. One limitation of the XCAT was that it did not have a physiological basis which to realistically simulate variations in cardiac function. In this work, we incorporate into the XCAT anatomy the four-chamber FE Living Heart Model (LHM) developed by the Living Heart Project (LHP). Read More

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http://dx.doi.org/10.1109/TRPMS.2018.2823060DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370029PMC
January 2019

Automatic brain lesion segmentation on standard MRIs of the human head: a scoping review protocol.

BMJ Open 2019 Feb 13;9(2):e024824. Epub 2019 Feb 13.

Avdelningen för Radiofysik, Goteborgs Universitet Institutionen for Kliniska Vetenskaper, Göteborg, Sweden.

Introduction: Automatic brain lesion segmentation from medical images has great potential to support clinical decision making. Although numerous methods have been proposed, significant challenges must be addressed before they will become established in clinical and research practice. We aim to elucidate the state of the art, to provide a synopsis of competing approaches and identify contrasts between them. Read More

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http://dx.doi.org/10.1136/bmjopen-2018-024824DOI Listing
February 2019

Enhanced Broadband RF Differential Rectifier Integrated with Archimedean Spiral Antenna for Wireless Energy Harvesting Applications.

Sensors (Basel) 2019 Feb 5;19(3). Epub 2019 Feb 5.

Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.

This work addresses the design and implementation of a broadband differential rectifier (DR) combined with an Archimedean spiral dipole antenna (ASDA) for wireless power harvesting at low incident power densities below 200 μ W/cm 2 . The proposed design exhibits an improved RF-DC conversion efficiency over a wide frequency range from 1.2 to 5 GHz. Read More

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http://dx.doi.org/10.3390/s19030655DOI Listing
February 2019

Solving Trajectory Optimization Problems in the Presence of Probabilistic Constraints.

IEEE Trans Cybern 2019 Feb 7. Epub 2019 Feb 7.

The objective of this paper is to present an approximation-based strategy for solving the problem of nonlinear trajectory optimization with the consideration of probabilistic constraints. The proposed method defines a smooth and differentiable function to replace probabilistic constraints by the deterministic ones, thereby converting the chance-constrained trajectory optimization model into a parametric nonlinear programming model. In addition, it is proved that the approximation function and the corresponding approximation set will converge to that of the original problem. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895305DOI Listing
February 2019

A New Method for Topology Identification of Complex Dynamical Networks.

IEEE Trans Cybern 2019 Feb 8. Epub 2019 Feb 8.

Topology identification of complex dynamical networks received extensive attention in the past decade. Most existing studies rely heavily on the linear independence condition (LIC). We find that a critical step in using this condition is not rigorous. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894838DOI Listing
February 2019

Output Feedback Stabilization of Networked Control Systems Under a Stochastic Scheduling Protocol.

IEEE Trans Cybern 2019 Feb 8. Epub 2019 Feb 8.

This paper investigates the output feedback stabilization problem for networked control systems under a stochastic scheduling protocol. First, an independent and identically distributed (i.i. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894294DOI Listing
February 2019

Detection and Control of Unannounced Exercise in the Artificial Pancreas without Additional Physiological Signals.

IEEE J Biomed Health Inform 2019 Feb 11. Epub 2019 Feb 11.

The purpose of this study was to develop an algorithm that detects aerobic exercise and triggers disturbance rejection actions to prevent exercise-induced hypoglycemia. This approach can provide a solution to poor glycemic control during and after aerobic exercise, a major hindrance in the participation of exercise by patients with type 1 diabetes. This novel exercise-induced hypoglycemia reduction algorithm (EHRA) detects exercise using a threshold on a disturbance term, a parameter estimated from an augmented minimal model using an Unscented Kalman Filter. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2898558DOI Listing
February 2019

A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-omics Data.

IEEE J Biomed Health Inform 2019 Feb 11. Epub 2019 Feb 11.

Glioblastoma Multiforme (GBM) is one of the most malignant brain tumors with very short prognosis expectation. To improve patients' clinical treatment and their life quality after surgery. Researches have developed tremendous in silico models and tools for predicting GBM prognosis based on molecular datasets and have earned great success. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2898471DOI Listing
February 2019

Motion sensor-based assessment of Parkinson's disease motor symptoms during leg agility tests: results from levodopa challenge.

IEEE J Biomed Health Inform 2019 Feb 8. Epub 2019 Feb 8.

Parkinson's disease (PD) is a degenerative, progressive disorder of the central nervous system that mainly affects motor control. The aim of this study was to develop data-driven methods and test their clinimetric properties to detect and quantify PD motor states using motion sensor data from leg agility tests. Nineteen PD patients were recruited in a levodopa single dose challenge study. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2898332DOI Listing
February 2019

Adaptive Discrete-Time Flight Control Using Disturbance Observer and Neural Networks.

IEEE Trans Neural Netw Learn Syst 2019 Feb 8. Epub 2019 Feb 8.

This paper studies the adaptive neural control (ANC)-based tracking problem for discrete-time nonlinear dynamics of an unmanned aerial vehicle subject to system uncertainties, bounded time-varying disturbances, and input saturation by using a discrete-time disturbance observer (DTDO). Based on the approximation approach of neural network, system uncertainties are tackled approximately. To restrain the negative effects of bounded disturbances, a nonlinear DTDO is designed. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2893643DOI Listing
February 2019

Comments on "Compact, Energy-Efficient High-Frequency Switched Capacitor Neural Stimulator With Active Charge Balancing".

IEEE Trans Biomed Circuits Syst 2019 Feb 11. Epub 2019 Feb 11.

This manuscript points out some mistakes in the Introduction and in the table of comparison of a paper already published in this journal by Hsu and Schmid [1]. Although the main claim of [1] is still preserved, we believe the paper needs to be rectified for scientific correctness of the work. Read More

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http://dx.doi.org/10.1109/TBCAS.2019.2898555DOI Listing
February 2019

Shortest-Latency Opportunistic Routing in Asynchronous Wireless Sensor Networks with Independent Duty-Cycling.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 7. Epub 2019 Feb 7.

For opportunistic routing in independent duty cycled wireless sensor networks (WSNs), a sender dynamically determines a relay candidate set depending on the real-time network conditions. Due to independent and varying duty cycle length, the sender may handle different waking-up orders of the potential forwarders when it tries to forward data packets at different time instants. Conventional opportunistic routing protocols overlook the time-varying property of the waking-up order of the candidate nodes. Read More

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http://dx.doi.org/10.1109/TCBB.2019.2897931DOI Listing
February 2019

Modeling of Brain Tissue Heating Caused by Direct Cortical Stimulation for Assessing the Risk of Thermal Damage.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 8. Epub 2019 Feb 8.

This paper aims to employ numerical simulations to assess the risk of cellular damage during the application of a novel paradigm of electrical stimulation mapping (ESM) used in neurosurgery. The core principle of the paradigm is the use of short, high-intensity and high-frequency stimulation pulses. We developed a complex numerical model and performed coupled electro-thermal transient simulations. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898253DOI Listing
February 2019

Linear Logistic Regression for Estimation of Lower Limb Muscle Activations.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 8. Epub 2019 Feb 8.

This paper addresses a techique to estimate muscle activity from movement data. Statistical models, such as linear regression (LR) models and artificial neural networks (ANNs), are good candidate estimation techniques. Although an ANN has a high estimation capability, it is frequently in the clinical application that a very small amount of data leads to performance deterioration. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898207DOI Listing
February 2019

Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes.

IEEE Trans Vis Comput Graph 2019 Feb 8. Epub 2019 Feb 8.

We report empirical study results on the color encoding of ensemble scalar and orientation to visualize diffusion magnetic resonance imaging (DMRI) tubes. The experiment tested six scalar colormaps for average fractional anisotropy (FA) tasks (grayscale, blackbody, diverging, isoluminant-rainbow, extended-blackbody, and coolwarm) and four three-dimensional (3D) spherical colormaps for tract tracing tasks (uniform gray, absolute, eigenmaps, and Boy's surface embedding). We found that extended-blackbody, coolwarm, and blackbody remain the best three approaches for identifying ensemble average in 3D. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898438DOI Listing
February 2019

On Evaluating Runtime Performance of Interactive Visualizations.

IEEE Trans Vis Comput Graph 2019 Feb 8. Epub 2019 Feb 8.

As our field matures, evaluation of visualization techniques has extended from reporting runtime performance to studying user behavior. Consequently, many methodologies and best practices for user studies have evolved. While maintaining interactivity continues to be crucial for the exploration of large data sets, no similar methodological foundation for evaluating runtime performance has been developed. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898435DOI Listing
February 2019

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.

IEEE Trans Med Imaging 2019 Feb 8. Epub 2019 Feb 8.

Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essential to assist ophthalmologist in the diagnosis and grading of macular diseases. Clinically, ophthalmologists usually diagnose macular diseases according to the structures of macular lesions, whose morphologies, size, and numbers are important criteria. In this paper, we propose a novel lesion-aware convolutional neural network (LACNN) method for retinal OCT image classification, in which retinal lesions within OCT images are utilized to guide the CNN to achieve more accurate classification. Read More

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http://dx.doi.org/10.1109/TMI.2019.2898414DOI Listing
February 2019

Hyperbolic Wasserstein Distance for Shape Indexing.

Authors:
Jie Shi Yalin Wang

IEEE Trans Pattern Anal Mach Intell 2019 Feb 8. Epub 2019 Feb 8.

Shape space is an active research topic in computer vision and medical imaging fields. The distance defined in a shape space may provide a simple and refined index to represent a unique shape. This work studies the Wasserstein space and proposes a novel framework to compute the Wasserstein distance between general topological surfaces by integrating hyperbolic Ricci flow, hyperbolic harmonic map, and hyperbolic power Voronoi diagram algorithms. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2898400DOI Listing
February 2019

Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb;27(2):256-264

Functional electrical stimulation (FES) is capable of activating muscles that are under-recruited in neurological diseases, such as stroke. Therefore, FES provides a promising technology for assisting upper-limb motor functions in rehabilitation following stroke. However, the full benefits of FES may be limited due to lack of a systematic approach to formulate the pattern of stimulation. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891004DOI Listing
February 2019

Optimizing robust PID control of propofol anesthesia for children; design and clinical evaluation.

IEEE Trans Biomed Eng 2019 Feb 8. Epub 2019 Feb 8.

Objective: The goal of this study was to optimize robust PID control for propofol anesthesia in children aged 5-10 years to improve performance, particularly to decrease the time of induction of anesthesia while maintaining robustness.

Methods: We analyzed results of a previous study conducted by our group to identify opportunities for system improvement. Allometric scaling was introduced to reduce the interpatient variability and a new robust PID controller was designed using an optimization based method. Read More

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http://dx.doi.org/10.1109/TBME.2019.2898194DOI Listing
February 2019

Impulsive Control of Nonlinear Systems With Time-Varying Delay and Applications.

IEEE Trans Cybern 2019 Feb 13. Epub 2019 Feb 13.

Impulsive control of nonlinear delay systems is studied in this paper, where the time delays addressed may be the constant delay, bounded time-varying delay, or unbounded time-varying delay. Based on the impulsive control theory and some analysis techniques, a new theoretical result for global exponential stability is derived from the impulsive control point of view. The significance of the presented result is that the stability can be achieved via the impulsive control at certain impulse points despite the existence of impulsive perturbations which causes negative effect to the control. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896340DOI Listing
February 2019

Polynomial Controller Synthesis for Uncertain Large-Scale Polynomial T-S Fuzzy Systems.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

This paper proposes a novel method to synthesize a controller for stabilizing the nonlinear large-scale system which is represented by a large-scale polynomial Takagi-Sugeno (T-S) fuzzy system. The large-scale system consists of a set of the uncertain polynomial T-S fuzzy system with interconnection terms. Modeling the large-scale nonlinear system under the framework of the polynomial form will decrease both the modeling errors and the number of fuzzy rules with respect to the conventional large-scale T-S fuzzy system. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895233DOI Listing
February 2019

Hybrid Noise-Oriented Multilabel Learning.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

For real-world applications, multilabel learning usually suffers from unsatisfactory training data. Typically, features may be corrupted or class labels may be noisy or both. Ignoring noise in the learning process tends to result in an unreasonable model and, thus, inaccurate prediction. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894985DOI Listing
February 2019

Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

In multiobjective optimization, it is nontrivial for decision makers to articulate preferences without a priori knowledge, which is particularly true when the number of objectives becomes large. Depending on the shape of the Pareto front, optimal solutions such as knee points may be of interest. Although several multi- and many-objective optimization test suites have been proposed, little work has been reported focusing on designing multiobjective problems whose Pareto front contains complex knee regions. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894664DOI Listing
February 2019

Event-Triggered Adaptive Fuzzy Tracking Control With Guaranteed Transient Performance for MIMO Nonlinear Uncertain Systems.

IEEE Trans Cybern 2019 Feb 12. Epub 2019 Feb 12.

This paper investigates an event-triggered adaptive tracking control problem of multi-input and multi-output (MIMO) triangular structure nonlinear systems with nonparametric uncertainties. The implementation of this paper can be roughly classified into two steps: 1) solving the existing rate-limited communication constraints and 2) guaranteeing perfect tracking control performance. By using the relative threshold event-triggered strategy, the communication resource constraint is availably resolved, while the Zeno behavior can be avoided. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894343DOI Listing
February 2019

Temporally Identity-Aware SSD With Attentional LSTM.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

Temporal object detection has attracted significant attention, but most popular detection methods cannot leverage rich temporal information in videos. Very recently, many algorithms have been developed for video detection task, yet very few approaches can achieve real-time online object detection in videos. In this paper, based on the attention mechanism and convolutional long short-term memory (ConvLSTM), we propose a temporal single-shot detector (TSSD) for real-world detection. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894261DOI Listing
February 2019

Active Full-Vehicle Suspension Control via Cloud-Aided Adaptive Backstepping Approach.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

This paper is concerned with the adaptive backstepping control problem for a cloud-aided nonlinear active full-vehicle suspension system. A novel model for a nonlinear active suspension system is established, in which uncertain parameters, unknown friction forces, nonlinear springs and dampers, and performance requirements are considered simultaneously. In order to deal with the nonlinear characteristics, a backstepping control strategy is developed. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2891960DOI Listing
February 2019

Finite-Time Coordination Behavior of Multiple Euler-Lagrange Systems in Cooperation-Competition Networks.

IEEE Trans Cybern 2019 Feb 11. Epub 2019 Feb 11.

In this paper, the finite-time coordination behavior of multiple Euler-Lagrange systems in cooperation-competition networks is investigated, where the coupling weights can be either positive or negative. Then, two auxiliary variables about the information exchange among agents are designed, and the finite-time distributed protocol is proposed based on the auxiliary variables and the property of the Euler-Lagrange system. By combining the approach of adding a power integrator with the homogeneous domination method, it is shown that finite-time bipartite consensus can be achieved if the cooperation-competition network is structurally balanced and the parameters of the distributed protocol are chosen appropriately; otherwise, finite-time distributed stabilization can be achieved. Read More

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http://dx.doi.org/10.1109/TCYB.2018.2836140DOI Listing
February 2019

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.

IEEE J Biomed Health Inform 2019 Feb 14. Epub 2019 Feb 14.

Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central region which is the optic disc and the optic cup region within the disc are examined to determine one of the important cues for glaucoma diagnosis called the optic cup-to-disc ratio (CDR). Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899403DOI Listing
February 2019

Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine.

IEEE J Biomed Health Inform 2019 Feb 13. Epub 2019 Feb 13.

The diagnosis of Type 2 Diabetes (T2D) at an early stage has a key role for an adequate T2D integrated management system and patient's follow-up. Recent years have witnessed an increasing amount of available Electronic Health Record (EHR) data and Machine Learning (ML) techniques have been considerably evolving. However, managing and modeling this amount of information may lead to several challenges such as overfitting, model interpretability and computational cost. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899218DOI Listing
February 2019

Artificial neural network for in-bed posture classification using bed-sheet pressure sensors.

IEEE J Biomed Health Inform 2019 Feb 13. Epub 2019 Feb 13.

Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A human body lying posture (HBLP) monitoring system is essential to reschedule posture change for patients. Video-surveillance, the conventional method of HBLP monitoring, suffers from various limitations, such as subject's privacy, and field-of view obstruction. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899070DOI Listing
February 2019

Memristive Imitation of Synaptic Transmission and Plasticity.

IEEE Trans Neural Netw Learn Syst 2019 Feb 11. Epub 2019 Feb 11.

In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemical foundations for learning and memory, which is demonstrated via the efficient imitation of short-term facilitation and long-term potentiation. Moreover, the memristive artificial circuit also mimics the distinct biological attributes of strong stimulation and deficient synthesis of neurotransmitters. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2892385DOI Listing
February 2019

A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car.

IEEE Trans Neural Netw Learn Syst 2019 Feb 13. Epub 2019 Feb 13.

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the introduced DuSP method and the symmetrically similar structures of the controller and its parameter estimator of MFAC. Then, the proposed DuSP-MFAC scheme is successfully implemented in an autonomous car ``Ruilong'' for the lateral tracking control problem via converting the trajectory tracking problem into a stabilization problem by using the proposed preview-deviation-yaw angle. This MFAC-based lateral tracking control method was tested and demonstrated satisfactory performance on real roads in Fengtai, Beijing, China, and through successful participation in the Chinese Smart Car Future Challenge Competition held in 2015 and 2016. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2892327DOI Listing
February 2019

Semisupervised Discriminant Multimanifold Analysis for Action Recognition.

IEEE Trans Neural Netw Learn Syst 2019 Feb 13. Epub 2019 Feb 13.

Although recent semisupervised approaches have proven their effectiveness when there are limited training data, they assume that the samples from different actions lie on a single data manifold in the feature space and try to uncover a common subspace for all samples. However, this assumption ignores the intraclass compactness and the interclass separability simultaneously. We believe that human actions should occupy multimanifold subspace and, therefore, model the samples of the same action as the same manifold and those of different actions as different manifolds. Read More

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http://dx.doi.org/10.1109/TNNLS.2018.2886008DOI Listing
February 2019

Proprioceptive Localization of the Fingers: Coarse, Biased, and Context-Sensitive.

IEEE Trans Haptics 2019 Feb 14. Epub 2019 Feb 14.

The proprioceptive sense provides somatosensory information about positions of parts of the body, information that is essential for guiding behavior and monitoring the body. Few studies have investigated the perceptual localization of individual fingers, despite their importance for tactile exploration and fine manipulation. We present two experiments assessing the performance of proprioceptive localization of multiple fingers, either alone or in combination with visual cues. Read More

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http://dx.doi.org/10.1109/TOH.2019.2899302DOI Listing
February 2019

Oscillatory Dynamics of p53-Mdm2 Circuit in Response to DNA Damage Caused by Ionizing Radiation.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 14. Epub 2019 Feb 14.

Although the dynamical behavior of the p53-Mdm2 loop has been extensively studied, the understanding of the mechanism underlying the regulation of this pathway still remains limited. Herein, we developed an integrated model with five basic components and three ubiquitous time delays for the p53- Mdm2 interaction in response to DNA damage following ionizing radiation (IR). We showed that a sufficient amount of activated ATM level can initiate the p53 oscillations with nearly the same amplitude over a wide range of the ATM level; a proper range of p53 level is also required for generating the oscillations, for too high or too low levels it would fail to generate the oscillations; and increased Mdm2 level leads to decreased amplitude of the p53 oscillation and reduced expression of the p53 activity. Read More

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http://dx.doi.org/10.1109/TCBB.2019.2899574DOI Listing
February 2019

Integration of imaging (epi)genomics data for the study of schizophrenia using group sparse joint nonnegative matrix factorization.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 14. Epub 2019 Feb 14.

Schizophrenia (SZ) is a complex disease. Single nucleotide polymorphism (SNP), brain activity measured by functional magnetic resonance imaging (fMRI) and DNA methylation are all important biomarkers that can be used for the study of SZ. To our knowledge, there has been little effort to combine these three datasets together. Read More

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http://dx.doi.org/10.1109/TCBB.2019.2899568DOI Listing
February 2019

PredictFP2: a new computational model to predict fusion peptide domain in all retroviruses.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 12. Epub 2019 Feb 12.

Fusion peptide (FP) is a pivotal domain for the entry of retrovirus into host cells to continue self-replication. The crucial role indicates that FP is a promising drug target for therapeutic intervention. A FP model proposed in our previous work is relatively not efficient to predict FP in retroviruses. Read More

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https://ieeexplore.ieee.org/document/8640069/
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http://dx.doi.org/10.1109/TCBB.2019.2898943DOI Listing
February 2019
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A Magnetoencephalography Study of Pediatric Interictal Neuromagnetic Activity Changes and Brain Network Alterations Caused by Epilepsy in the High Frequency(80-1000Hz).

Authors:
Lu Meng

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 12. Epub 2019 Feb 12.

More and more studies propose that high frequency brain signals are promising biomarkers of epileptogenic zone. In this study, our aim is to investigate the neuromagnetic changes and brain network topological alterations during an interictal period at high frequency ranges (80-1000Hz) between healthy controls and epileptic patients with Magnetoencephalography (MEG). We analyzed neuromagnetic activities with accumulated source imaging, and constructed brain network based on graph theory. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898683DOI Listing
February 2019

Predicting object-mediated gestures from brain activity: an EEG study on gender differences.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 11. Epub 2019 Feb 11.

Recent functional magnetic resonance imaging (fMRI) studies have identified specific neural patterns related to three different categories of movements: intransitive (i.e., meaningful gestures that do not include the use of objects), transitive (i. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898469DOI Listing
February 2019

Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which require realistic representations of real world environments, the VEs need to provide multiple, physically accurate sensory stimuli. However, simulating all the senses that comprise the human sensory system (HSS) is a task that requires significant computational resources. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898823DOI Listing
February 2019

Audio-Material Reconstruction for Virtualized Reality Using a Probabilistic Damping Model.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Modal sound synthesis has been used to create realistic sounds from rigid-body objects, but requires accurate real-world material parameters. These material parameters can be estimated from recorded sounds of an impacted object, but external factors can interfere with accurate parameter estimation. We present a novel technique for estimating the damping parameters of materials from recorded impact sounds that probabilistically models these external factors. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898822DOI Listing
February 2019

Modulating Fine Roughness Perception of Vibrotactile Textured Surface using Pseudo-haptic Effect.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Playing back vibrotactile signals through actuators is commonly used to simulate tactile feelings of virtual textured surfaces. However, there is often a small mismatch between the simulated tactile feelings and intended tactile feelings by tactile designers. Thus, a method of modulating the vibrotactile perception is required. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898820DOI Listing
February 2019

Inferring User Intent using Bayesian Theory of Mind in Shared Avatar-Agent Virtual Environments.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

We present a real-time algorithm to infer the intention of a user's avatar in a virtual environment shared with multiple human-like agents. Our algorithm applies the Bayesian Theory of Mind approach to make inferences about the avatar's hidden intentions based on the observed proxemics and gaze-based cues. Our approach accounts for the potential irrationality in human behavior, as well as the dynamic nature of an individual's intentions. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898800DOI Listing
February 2019

Orientation Perception in Real and Virtual Environments.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Spatial perception in virtual environments has been a topic of intense research. Arguably, the majority of this work has focused on distance perception. However, orientation perception is also an important factor. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898798DOI Listing
February 2019

VR Exploration Assistance through Automatic Occlusion Removal.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Virtual Reality (VR) applications allow a user to explore a scene intuitively through a tracked head-mounted display (HMD). However, in complex scenes, occlusions make scene exploration inefficient, as the user has to navigate around occluders to gain line of sight to potential regions of interest. When a scene region proves to be of no interest, the user has to retrace their path, and such a sequential scene exploration implies significant amounts of wasted navigation. Read More

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https://ieeexplore.ieee.org/document/8642365/
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http://dx.doi.org/10.1109/TVCG.2019.2898782DOI Listing
February 2019
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Adaptive Sampling for Sound Propagation.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Precomputed sound propagation samples acoustics at discrete scene probe positions to support dynamic listener locations. An offline 3D numerical simulation is performed at each probe and the resulting field is encoded for runtime rendering with dynamic sources. Prior work place probes on a uniform grid, requiring high density to resolve narrow spaces. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898765DOI Listing
February 2019

Immersive Virtual Colonoscopy.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Virtual colonoscopy (VC) is a non-invasive screening tool for colorectal polyps which employs volume visualization of a colon model reconstructed from a CT scan of the patient's abdomen. We present an immersive analytics system for VC which enhances and improves the traditional desktop VC through the use of VR technologies. Our system, using a head-mounted display (HMD), includes all of the standard VC features, such as the volume rendered endoluminal fly-through, measurement tool, bookmark modes, electronic biopsy, and slice views. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898763DOI Listing
February 2019

An Evaluation of Depth and Size Perception on a Spherical Fish Tank Virtual Reality Display.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Fish Tank Virtual Reality (FTVR) displays create a compelling 3D spatial effect by rendering to the perspective of the viewer with head-tracking. Combining FTVR with a spherical display enhances the 3D experience with unique properties of the spherical screen such as the enclosing shape, consistent curved surface, and borderless views from all angles around the display. The ability to generate a strong 3D effect on a spherical display with head-tracked rendering is promising for increasing user's performance in 3D tasks. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898742DOI Listing
February 2019