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Optical Character Recognition (OCR) in the scanned documents has been a well-studied problem in the past. However, when these characters come from the natural scenes, it becomes a much more challenging problem, as there exist many difficulties in these images, e.g., illumination variance, cluttered backgrounds, geometry distortion. In this paper, we propose to use a deep learning method that based...
In order to study the influence on the statistical distribution characteristic of dynamic radar cross section (RCS) from aircraft flight speed, firstly through analyzing aircraft aerodynamic, setting track model, calculating attitude angle and electromagnetic simulation, the three groups of dynamic RCS sequence were obtained under different flight speed. And the fitting curves of dynamic RCS sequence...
Agricultural landscape is designated as important landscape components for partly controlling water quality, biodiversity, as well as for their aesthetic role in landscapes. Therefore, the change of agricultural landscape is at the top of the agenda for many policy makers and landscape planners. As a basis for conservation management, sufficient information about landscape structure should be providing...
In vivo visualization and quantification of surface tissue edema, or ‘tissue swelling’ following injury or as diagnostic criteria for the detection of disease remains a clinical challenge. The most common method for evaluating edema is by clinical examination, during which tissue swelling and turgor are routinely examined. This technique, however, is qualitative, difficult to standardize, and requires...
In this paper, the kinematic modeling problem of a wheel-legged robot is investigated. Modified forward and inverse kinematic models are built to eliminate the hip joint misplacement caused by rolling effect that the wheel will roll on the ground when the leg supports robot body moving forward. First, accurate modified forward kinematic model is built for the contact point of the stance leg and ground...
Land cover change mapping using remote sensing data, especially medium-resolution imagery, has often been constrained by lack of high-quality training and validation data, especially for historical satellite images. In this study, we presented a new automatic classification approach for Landsat imagery based on time-series image spectral database (TSID). Firstly, a new atmospheric correction procedure...
To facilitate the ubiquitous deployment of wireless sensors for Internet-of-Things (IoT) applications, highly integrated ultra-low-power (ULP) RF transceivers are essential, and numerous solutions have been proposed [3,4]. These architectures address the less-stringent Bluetooth Low-Energy (BLE) standard, which depends on long intervals between advertising events to shorten the duty cycle of active...
It is a challenging task to improve the performance of face recognition under complex illumination conditions. Illumination estimation-based illumination invariant extraction is widely used to alleviate the adverse effects of illumination variation on face recognition. Most existing methods only used slowly changing characteristics of lighting to achieve illumination estimation, thus resulting in...
A decision support system with data-driven methods is of great significance for the prognosis of scoliosis. However, developing an accurate and interpretable data-driven decision support system is challenging: 1) the scoliosis data collected from clinical environments is heterogeneous, unstructured, and incomplete; 2) the cause of adolescent idiopathic scoliosis is still unknown, and the effects of...
Position estimation for rotating part in high resolution range profile is precondition for rotating part signal separation, when non-cooperation aerial target is observed by inverse synthetic aperture radar (ISAR). Position estimation methods for rotating part put forward in current literatures are not enough robust, when they are applied to real data. In this paper, based on formulation of high resolution...
It has been always a challenge to extract or generate a skeleton from a mesh. Most skeleton extraction methods are aimed at articulated character models, which are not well suitable for refined hand model. We proposed a novel automatic method for skeleton extraction of refined human hand meshes. Given a refined human hand meshes, we first use an automatic rigging system to extract a coarse skeleton...
This paper presents a face registration method and a surgical instrument tracking method for Image-guided Surgical Navigation System (ISNS). In ISNS, we start the process by reconstructing 3d point cloud of patient using a proactive structured light visual system and then accurately complete face registration based on Iterative Closest Point (ICP) algorithm. We utilize special markers to represent...
Online Collaborative Learning is typically developed and maintained through participants' social interaction. For this purpose, this paper chose density, concentration, cohesion subgroup and other network indices to analyze the interaction network characteristics. It was showed interaction density was not high, and the teacher had greater influence on group participation. There are, however, substantial...
This paper investigates the running motions of a planar biped robot with two springy legs. We expect to generate periodic running motions with regulable step length and step velocity by changing the stiffness in legs as well as guarantee the energy-preserving conditions. We obtain some changing rules of the running motion with respect to the stiffness in legs by a large number of simulations. These...
Traditional medical therapies for scoliosis are mostly based on the experience and intuitions of doctors, which does not guarantee the effectiveness of the treatment. Scoliosis prediction is of great significance to reduce the uncertainty for doctors on deciding the optimum treatment for patients. The paper aims to develop a prediction model to help physicians to make right decisions for an appropriate...
Soft sensors are required to accommodate the flexible and deformable natures of the human body are wearable device applications. They are also suitable for integration with soft robotic devices to monitor the performance status and provide references for feedback control. However the choices for bending sensors are still highly limited. In this paper a soft bending sensor is presented. By careful...
This paper addresses the leaderless consensus problem of multiple Euler-Lagrange (EL) systems on directed graphs containing a spanning tree, provided that the velocity signals of the agents are unavailable. Considering dynamic uncertainties and bounded constant communications delays, we propose a distributed output feedback control scheme comprised by a novel distributed sliding observer and an integral...
Diffusion Tensor imaging (DTI), composing of various metrics, including fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD) and radial diffusivity (RD) has been considered as a useful clinical tool to reveal microstructure of spinal cord. Previous studies have intensively applied DTI in investigating the pathology of cervical spondylotic myelopathy (CSM), as well the symptomatic...
Somatosensory evoked potentials (SEP) have been found to contain a series of time-frequency components that conveys information about the location of neurological deficits within the spinal cord. This study aims to develop a classification system for identifying the location of neurological deficit in cervical spinal cord based on the time-frequency patterns of SEPs. Waveforms of SEPs after compressive...
EEG-based pain assessment methods has been widely accepted in recent years. However, performance of cross-individual prediction degraded considerably due to the substantial inter-individual variability in pain-evoked EEG responses. This study aims to improve the accuracy of cross-individual pain prediction via reducing the inter-individual variability. Motivated by our finding that an individual's...
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