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Synthetic aperture radar (SAR) images are all-weather, all-time, and wide coverage, increasingly used for ship detection to ensure marine surveillance and transportation security. Currently, deep learning has achieved enormous success in object detection with the capability of representation learning. Combining single shot multiBox detector (SSD) with transfer learning is proposed to address ship...
This paper presents a single-stage LED driver for street lighting applications with a novel bridgeless power factor correction converter. The proposed single-stage topology integrates a bridgeless PFC converter and a half-bridge CLCL resonant converter by sharing active power switches. The bridgeless PFC converter here adopts two buck-boost circuits operating at discontinuous conduction mode to achieve...
Order to realize the accurate assessment of AC contactor state, point at the uncertainty of the state parameters of AC contactor and the uncertainty of which state parameters are chosen as the evaluation factors, the grey fuzzy theory is applied to state evaluation of AC contactor. Some representative information is selected as the state variable for evaluation. The weight set of each assessment factor...
With the increase of highway traffic flow, the number of toll lanes of highway toll stations increased. The number of vehicles arriving at the toll stations varies at different times. When the traffic is less, opening all toll lanes will cause unnecessary costs. In this article, based on a certain degree of customers' satisfaction, we use the simulation software to study the minimum number of toll...
This paper presents a novel structure of high step-up DC/DC converters intended for distributed generation systems such as fuel cells and photovoltaic (PV) systems. Proposed topologies integrate the classical Y-source impedance network with different step-up cells to acquire strong boost ability which is unmatched by existing impedance networks. Compared to Y-source, proposed converters reserve versatile...
The Nuchal translucency (NT), which is the collection of fluid at the back of the fetal neck, is related to chromosomal defects and early cardiac failure in first trimester of pregnancy. In clinic, the thickness of NT is used as an important marker in prenatal screening, and is manually measured by sonographers in the mid-sagittal plane. In this paper, an automatic method based on dynamic programming...
Radiomics can convert digital images to mineable data by extracting a huge number of image features. Because of the high dimensions of radiomics features, feature selection is a very important step which affects the performance of the final prediction or classification. In this paper, we propose a feature selection criterion for radiomics analysis of glioma based on Magnetic Resonance Image (MRI)...
Rehabilitation of stroke survivors has been increasing in importance in recent years with increase in the occurrence of stroke. However, current clinical classification assessment is time-consuming while the result is not accurate and varies across physicians. This paper introduces an IoT-based upper limb rehabilitation assessment system for stroke survivors based on wireless sensing sub-system, data...
In this paper, we investigate making use of a convolutional neural network (CNN) to solve the task of identifying corresponding patches in very high resolution (VHR) optical and SAR imagery of complicated urban scenery. By doing so, the binary decision function is learnt directly from automatically generated training data and does not resort to any hand-crafted features. First evaluations show great...
Polarimetric Synthetic Aperture Radar (PolSAR) is a valuable remote sensing data source. It is usually challenging to interpret PolSAR data, especially in urban areas, and hense, spatial clustering comes as a powerful tool for the application of PolSAR data. In data clustering, similarity measurement indexes are of great importance. By far, there are quite some similarity measures of PolSAR data....
One of the most unique benefits of multi-baseline synthetic aperture radar interferometry (InSAR) is the long-term monitoring of subtle ground deformation over large areas. Most state-of-the-art algorithms for retrieving such parameter are based on single pixels, e.g. Permanent Scatterer InSAR [1] or clusters of ergodic pixels with stationary phases e.g. SqueeSAR [2]. None of the studies has addressed...
The side-looking imaging geometry of synthetic aperture radar (SAR) causes inevitable layover in SAR images. Separating the contributions from different scatterers has been the fundamental for many applications. It is typically solved by explicit inversion of the SAR imaging model to retrieve the scattering profile along the mixed dimension (elevation), which is otherwise known as SAR tomography....
Earth Observation (EO) is mostly carried out through centralized optical and synthetic aperture radar (SAR) missions. Despite the controlled quality of their products, such observation is restricted by the characteristics of the sensor platform, e.g. the revisit time. Over the last decade, the rapid development of social media has accumulated vast amount of online images. Despite their uncontrolled...
Classification in remote sensing, similar to semantic segmentation in computer vision, is aimed to assign a label to each pixel in images to indicate which class it belongs to. Fully convolutional networks (FCN), one of semantic segmentation methods, is proposed to tackle this problem in fully PolSAR images in this paper. To exploit the polarimetric information in PolSAR images, H-A-α polarimetric...
Identification of hydrodynamic coefficients and accessibility of accurate mathematical model to predict actual responses of vessels has practical significance to design computer-based simulators and apply new control algorithms, thus effective methods and proper devices should be investigated to do the modelling. The aim of this study was to estimate hydrodynamic coefficients of a surface vessel from...
In this paper we propose a convolutional neural network (CNN), which allows to identify corresponding patches of very high resolution (VHR) optical and SAR imagery of complex urban scenes. Instead of a siamese architecture as conventionally used in CNNs designed for image matching, we resort to a pseudo-siamese configuration with no interconnection between the two streams for SAR and optical imagery...
Detection of gait phase has multiple of applications such as lower limb prosthetics, drop foot stimulator, and rehabilitation assessment. Different types of wearable sensors such as force sensitive sensors (FSR), gyroscopes, and the combination of gyroscopes and accelerometers, have been used for the classification of gait phase. Among these sensors, since accelerometers are low in cost, easy to use,...
Objective:To explore the effect of intraoperative parathyroid hormone (IOPTH) monitoring in parathyroid-ectomy for Primary hyperparathyroidism. Method:The clinical data of 41 PHPT patients who received IOPTH monitoring (IOPTH group) during surgery from January 2009 to December 2014 were retrospectively analyzed. The clinical manifestation, examination and changes of parathyroid hormone and Calcium...
In conventional cognitive radio ad hoc networks, both primary users (PUs) and secondary users (SUs) are typically equipped with omni-directional antennas, which can cause high interference. As a result, SUs usually suffer from the poor network connectivity due to the high interference caused by PUs. Different from omni-directional antennas, directional antennas can concentrate the transmission on...
A new approach to object detection using image icons based on Unit-linking PCNN (Pulse Coupled Neural Network) is introduced in this paper. Unit-linking PCNN, which has been developed from PCNN exhibiting synchronous pulse bursts in cat and monkey visual cortexes, is a kind of time-space-coding SNN (Spiking Neural Network). We have used Unit-linking PCNN to produce the global image icons with translation...
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