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In the era of big data for synthetic aperture radar (SAR), multiple SAR systems have come into service, including Sentinel-1. The support of large-volume datasets is the key to the deep interpretation of ship targets in Sentinel-1 imagery. In this paper, we present OpenSARShip 2.0, the newest and upgraded version of OpenSARShip, which is dedicated to the deeper interpretation of SAR imagery for marine...
Low-cost, low-power, and high-sensitivity System-on-Chip (SoC) Hall Effect sensors for 0.18μm and 0.13μm technologies and beyond are developed in this work. A best-inclass current-related sensitivity Si of 418 V/A∗T is achieved by a Hall device with an area of 42 μm × 42 μm. Small offset voltage ranges within +/−1.05 mV, as well as excellent sensor reliability, are demonstrated. The Hall sensors are...
Deep Neural Networks (DNN) are the dominant technique widely used in English and Chinese speech recognition currently. However, Tibetan speech recognition research starts late and mainly uses Hidden Markov Model (HMM). In this paper, We show a better method of replacing Gaussian Mixture Models (GMM) by DNN to Tibetan Lhasa dialect speech recognition system. The system contains seven layers of features...
In order to improve the adaptation of quadruped robot for various terrains, the major problem is how to build up the smooth transition algorithm from trotting gait suitable for flat terrain to walking gait suitable for rugged terrain. Firstly, one gait cycle of trotting gait and walking gait are analyzed for finding out all the potential switch points and access points. Secondly, based on analysis...
In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target in the next frame. Simply applying single object tracker for MOT will encounter the problem in computational efficiency and drifted results caused by occlusion. Our framework achieves computational efficiency by sharing...
Reasonable maintenance strategy can decrease power grid operation costs and enhance competitiveness of power grid. Therefore, according to the principle of system condition-based maintenance, an equipment imperfect maintenance model is built based on a modified Kijima II model, which considers electrical equipments' maintenance outage model and repair outage model and the effects of equipment maintenance...
One of the most important ways to explore the information in hyperspectral images (HSIs) is accurate classification of targets. Deep learning algorithm has made a great breakthrough in many areas due to its strong ability of data mining. Typical deep learning models such as convolutional neural network (CNN), deep belief network (DBN) and so on, not only combines the advantages of unsupervised and...
Speculative Multithreading (SpMT) technology is an effective mechanism for automatic parallelization of irregular programs. For a sequential program, they can be executed speculatively in parallel by speculating that many data dependences are unlikely during runtime. Although speculative parallelization can potentially deliver significant speedup, several overheads associated with this technique can...
In this paper, a model independent PD with sliding mode control (PD-SMC) method for the bionic eye system is proposed. The designed controller is model independent, and has the advantages of both simple structure, easy design of PD controller and strong robustness of SMC method with respect to system parameter uncertainty. Lyapunov techniques and LaSalle's invariance theorem are used to support the...
Faster R-CNN (R corresponds to “Region”) which combined the RPN network and the Fast R-CNN network is one of the best ways to object detection of R-CNN series based on deep learning. The proposal obtained by RPN is directly connected to the ROI Pooling layer, which is a framework for CNN to achieve end-to-end object detection. The feasibility of Faster R-CNN implementation of ResNet101 network and...
Pancreatic ductal adenocarcinoma (PDA) is one of the most prevalent types of cancer. Studies have shown that PDA treatment with IV administration of gemcitabine (GEM) is inhibited by excessive interstitium and connective tissue (stroma) surrounding the tumor. Ultrasound (US) irradiation combined with drug-loaded polylactic acid (PLA) microbubble contrast agents (MB) may circumvent this through targeted...
Pancreatic cancer is associated with poor clinical outcomes primarily, due to the advanced stage of disease at diagnosis. Harmonic contrast-enhanced endoscopic ultrasound has been proposed as an imaging approach for characterizing pancreatic masses. As an alternative, transabdominal subharmonic imaging has been proposed to limit invasiveness and better suppress nonlinear tissue echoes. In both of...
Pancreatic cancer is associated with poor clinical outcomes primarily due to the advanced stage at the time of diagnosis. Endoscopic harmonic ultrasound imaging (HI) is being used to characterize pancreatic masses. Alternatively, transabdominal subharmonic imaging (SHI) may limit invasiveness and better suppress nonlinear tissue echoes. In both approaches, time-intensity curve (TIC) analysis can be...
Tumor hypoxia has been shown to decrease the sensitivity of solid tumors to radiation. Systemic efforts to increase tumor oxygenation levels immediately prior to therapy, however, have largely proven unsuccessful. The objective of this work was to determine the utility of oxygen-filled, ultrasound sensitive microbubbles for locally delivering oxygen and sensitizing tissue to radiation in a breast...
Studies have shown that treatment of pancreatic ductal adenocarcinoma (PDAC) with systemic administration of gemcitabine (GEM) is inhibited by excessive desmoplastic connective tissue surrounding the tumor. Ultrasound (US) insonification combined with drug-loaded poly lactic acid (PLA) microbubbles (MB) may circumvent this through targeted delivery to the tumor via increased permeability and lodging...
Crowdfunding is developing as a novel and popular transaction method, which can largely improve the efficiency of raising initial funds and selling innovative products. In this paper, we explore the optimal pricing strategies of the reward-based crowdfunding creator when substitutes exist. First, considering the characteristics of reward-based crowdfunding, we present four pricing strategies when...
Load-dependent position error and its compensation approach in a hybrid stepper motor has been studied in this paper. With stepper motor modelling and load angle concept, low position stiffness feature for a stepper motor with open loop operation has been explained. A specific field oriented control has been proposed to maximize stepper motor position stiffness. Experimental verification shows the...
The system configuration is an import aspect of Integrated Modular Avionics systems. These IMA blueprints are configured based on ASSAC and ARINC653 standards by analyzing all the requirements. Application requirements, such as required memory, communication, period, deadline and execution time, are stipulated in the blueprint. Hardware resources are also described in the blueprint. Moreover, the...
Atmospheric icing is one of the main threats to overhead transmission lines in cold regions. The ice related loads may cause mechanical incidents, such as wire breakage, cable rupture, clamp slipping, cross-arm deformation and even tower collapse. Ice shedding may lead to dramatic vibration of lines and cause flashover or short circuit among ground wires, conductors and the earth. Therefore, to obtain...
The study of multiple faults is becoming a hot spot. In the large software program, Multiple faults may interact with each other in some ways. In this paper, we investigated the property of multi-faults through the method of fault-injection in Siemens suits. Inspired by previous research, we focused our attention on three types of fault interaction: independent faults; faults masking; faults construction...
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