Fracture is one of the most common and unexpected traumas. If not treated in time, it may cause serious consequences such as joint stiffness, traumatic arthritis, nerve injury. Using computer vision technology to detect fractures can reduce workload misdiagnosis also improve fracture detection speed. However, there are still some problems sternum detection, low rate small occult fractures. In this work, authors have constructed a dataset with 1227 labelled X-ray images for detection. The...

Diabetic retinopathy (DR) is a kind of ocular complication diabetes, and its degree grade an essential basis for early diagnosis patients. Manual long expensive process with specific risk misdiagnosis. Computer-aided can provide more accurate practical treatment recommendations. In this paper, we propose multi-view joint learning DR diagnostic model called RT2Net, which integrates the global features fundus images local detailed vascular to reduce limitations single image learning. Firstly,...

In this paper, a video based smoke detection method using dynamic texture feature extraction with volume local binary patterns is studied.Block was used to distinguish frames in high definition videos obtained by experiments firstly.Then we propose that directly extracts features on irregular motion regions reduce adverse impacts of block size and area ratio threshold.Several general were extract texture, including LBPTOP, VLBP, CLBPTOP CVLBP, study the effect number sample points, frame...

In this letter, we construct MaRine ShiP (MRSP-13), a novel dataset containing 37,161 ship target images belonging to 13 classes with bounding box annotation, and among them there are 3051 labeled pixel-level annotation. This equips us the capability conduct baseline experiments on maritime classification, detection segmentation. We propose cross-layer multi-task CNN model for detection, which can simultaneously solve Experimental results have demonstrated efficiency of MRSP-13 be used...

Deep learning technique has made a tremendous impact on medical image processing and analysis. Typically, the procedure of analysis via deep includes segmentation, enhancement, classification or regression. A challenge for supervised frequently mentioned is lack annotated training data. In this paper, we aim to address problems transferred neural networks with limited amount We proposed versatile framework active technique. The (1) applying approach segment specific regions interest (RoIs)...

This paper proposes an online MMCCS (Multi-MC Cooperative Charging Strategy) for multiple Mobile Chargers (MC), affording static partition and dynamic collaboration. The developed scheme aims to solve the problem of high energy hole rates in Wireless Rechargeable Sensor Networks (WRSNs) by suggesting on-demand charging architecture that minimizes network's rate. Specifically, our strategy first establishes a dual-partition wireless rechargeable sensor network model divide service...

Early detection of smoke having indistinguishable pixel intensities in digital images is a difficult task. To better maintain fire surveillance, early crucial. solve the problem, we have integrated principal component analysis (PCA) as pre-processing module with improved version You Only Look Once (YOLOv3). The ordinary YOLOv3 structure has been after inserting one extra scale at stride-4 specifically to detect immense small instances wild. network design establishes sequential relation...

T-decomposition maps a finite string into series of parameters for recursive construction algorithm. Initially developed the communication coding trees (M. R. Titchener, June 1996), (U. Guenther, Feb. 2001), has since been studied within context information measures. This involves parsing potentially very large strings, which in turn requires algorithms with good time complexity. paper presents algorithm O(n log n) and space complexity

Bone Age Assessment (BAA) is an important topic in clinical practice of evaluating biological maturity children. Traditional manually BAA time consuming and with strong subjectivity. The existing automated methods are based on pattern matching or classification methods, which complex low generalization performance. To address these problems, a fully automatic method combining transfer learning regression proposed. At first, the adaptive thresholding segmentation employed to segment hand bone...

Femoral neck-shaft angle (NSA) is the included by femoral neck axis (FNA) and shaft (FSA), which a critical anatomic measurement index for evaluating biomechanics of hip joint. Aiming at solving problem that physician’s manual NSA time consuming irreproducible, this paper proposes fully automatic approach on radiographs. We first present an improved deep convolutional generative adversarial network to automatically segment region interest radiographs pelvis. Then based geometrical...

The node energy consumption rate is not dynamically estimated in the online charging schemes of most wireless rechargeable sensor networks, and response charging-needed fairly poor, which results nodes easily generating holes. Aiming at this problem, an hole avoidance scheme (EHAOCS) based on a radical basis function (RBF) neural network, named RBF-EHAOCS, proposed. uses RBF network to predict dynamic during process, estimates optimal threshold value request basis, then determines next per...

The paper proposes a new circuit of all-digital automatic gain control (AGC) in the gas ultrasonic flowmeter at first. design is implemented on EP1S40F1020 FPGA chip. A scheme, main function modules and test are given paper. This can achieve 40dB dynamic range control, with advantages high precision, rangeability, little environment influence, good stability excellent reliability. In order to larger circuits which composed AGC analog using AD8367 proposed tested. result when input signal...

For the treatment of waste tires and tire reuse has become an important task in today's society. Waste processing methods are: restructuring use prototype. Energy as fuel will high-temperature heating with thermal decomposition tires, to promote its into oil, combustible gas, carbon. Scrap retreading. Powder production other means. By mechanical means be used after tread some parts split obtained crushing powder material is powder. Currently main mode dry grinding, cryogenic grinding wet...

Due to large delay time, varying coalpsilas quality and steam load, boiler combustion system was difficultly controlled. Nonlinear systempsilas time must be well identified. The abrupt mutation result from the training error sum square of real output expected neural network used identify time. input sample period changed so that it could discriminate nonlinear model. discriminated time-delay applied prediction errors between model were search PID controller parameters based on ant colony...