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基于DNN的制造过程刀具工况视诊方法研究 被引量:2
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作者 胡伟 李鸣 +1 位作者 张宇 王志鹏 《现代制造工程》 CSCD 北大核心 2018年第6期81-85,141,共6页
制造过程的刀具工况监测是保证工件精确、高效及安全加工的重要环节。阐述了基于深度神经网络(Deep Neural Network,DNN)的刀具工况视诊方法的基本原理。在DNN结构和训练算法的基础上,研究了一种基于DNN的刀具工况识别方法。以CK6143\1... 制造过程的刀具工况监测是保证工件精确、高效及安全加工的重要环节。阐述了基于深度神经网络(Deep Neural Network,DNN)的刀具工况视诊方法的基本原理。在DNN结构和训练算法的基础上,研究了一种基于DNN的刀具工况识别方法。以CK6143\1000数控车床、KC5010车刀片以及奥氏体不锈钢304L的外圆车削加工过程为实验对象,采集了刀具图片进行实验,构建了一套用于刀具工况识别的DNN。结果表明:刀具工况识别准确率超过98%,证明了方法的可行性和有效性,具有较好的工程应用价值。 展开更多
关键词 深度神经网络 刀具工况 视诊方法 制造过程
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Current endoscopic approach to indeterminate biliary strictures 被引量:3
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作者 David W Victor Stuart Sherman +1 位作者 Tarkan Karakan Mouen A Khashab 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第43期6197-6205,共9页
Biliary strictures are considered indeterminate when basic work-up, including transabdominal imaging and endoscopic retrograde cholangiopancreatography with routine cytologic brushing, are non-diagnostic. Indeterminat... Biliary strictures are considered indeterminate when basic work-up, including transabdominal imaging and endoscopic retrograde cholangiopancreatography with routine cytologic brushing, are non-diagnostic. Indeterminate biliary strictures can easily be mischaracterized which may dramatically affect patient's outcome. Early and accurate diagnosis of malignancy impacts not only a patient's candidacy for surgery, but also potential timely targeted chemotherapies. A significant portion of patients with indeterminate biliary strictures have benign disease and accurate diagnosis is, thus, paramount to avoid unnecessary surgery. Current sampling strategies have suboptimal accuracy for the diagnosis of malignancy. Emerging data on other diagnostic modalities, such as ancillary cytology techniques, single operator cholangioscopy, and endoscopic ultrasonography-guided fine needle aspiration, revealed promising results with much improved sensitivity. 展开更多
关键词 Indeterminate stricture Bile duct Single operator cholangioscope CHOLANGIOSCOPY Endoscopic ultrasound Endoscopic retrograde cholangiopancrea-tography Bile duct stricture Indeterminate biliary stricture Confocal microscopy Transpapillary biopsy CHOLANGIOCARCINOMA Primary sclerosing cholangitis Spyglass
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New endoscopic approaches in IBD 被引量:6
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作者 Helmut Neumann Markus F Neurath Jonas Mudter 《World Journal of Gastroenterology》 SCIE CAS CSCD 2011年第1期63-68,共6页
Recent advances in endoscopic imaging techniques have revolutionized the diagnostic approach of patients with inflammatory bowel disease(IBD).New,emerging endoscopic imaging techniques visualized a plethora of new muc... Recent advances in endoscopic imaging techniques have revolutionized the diagnostic approach of patients with inflammatory bowel disease(IBD).New,emerging endoscopic imaging techniques visualized a plethora of new mucosal details even at the cellular and subcellular level.This review offers an overview about new endoscopic techniques,including chromoendoscopy,magnification endoscopy,spectroscopy,confocal laser endomicroscopy and endocytoscopy in the face of IBD. 展开更多
关键词 ENDOSCOPY Inflammatory bowel disease ENDOMICROSCOPY ENDOCYTOSCOPY Narrow band imaging Fujinon intelligent color enhancement i-Scan Spectroscopy CHROMOENDOSCOPY Ulcerative colitis Crohn's disease Fluorescence endoscopy
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Analysis of Direct Volume Rendering in VTK 被引量:2
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作者 WEI jun ZHAO Hai-tao +3 位作者 TIAN yun PAN wei HE Gui-qing HAO Chong-yang 《Chinese Journal of Biomedical Engineering(English Edition)》 2006年第3期127-133,共7页
This paper introduces the techniques of direct volume rendering in VTK and discusses ray-casting--the most popular technique of direct volume rendering. The visualizations for medical volumetric data by three function... This paper introduces the techniques of direct volume rendering in VTK and discusses ray-casting--the most popular technique of direct volume rendering. The visualizations for medical volumetric data by three functions of raycasting are offered. Visualization effects prove that VTK is easy to get satisfied resuits with good quality in short time. 展开更多
关键词 Direct volume rendering Ray-casting VTK
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Classification Methods Based on Pattern Discrimination Models for Web-Based Diagnosis of Rice Diseases 被引量:2
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作者 G. Maharjan T. Takahashi S. H. Zhang 《Journal of Agricultural Science and Technology(A)》 2011年第1X期48-56,共9页
Two classification and identification methods based on pattern discrimination models and the majority-vote technique were investigated for implementing a World Wide Web-based system for the identification of rice dise... Two classification and identification methods based on pattern discrimination models and the majority-vote technique were investigated for implementing a World Wide Web-based system for the identification of rice diseases. The experiment was carried out using color and shape patterns in 425 images of three rice diseases, which were classified into four classes: two classes of leaf blast, and one class each of sheath blight and brown spot. A method consisting of two discrimination steps involving application of multiple discrimination models of a support vector machine gave the best result because of its capacity to evaluate the similarity of disease types. This accuracy of the method was 88% for leaf blast (A-type), 94% for sheath blight, and 80% for leaf blast (B-type) and brown spot; on average, the accuracy of this method was 5% greater than that of the other method when three classes were used in the model. Although the accuracy of both methods was inadequate, the results of this study show that it is possible to estimate the least number of possible or similar diseases from a large number of diseases. Therefore, we conclude that there is merit in grouping classes into subgroups rather than attempting to discriminate between all classes simultaneously and that these methods are effective in identifying diseases for web-based diagnosis. 展开更多
关键词 Image features web-based diagnosis disease identification pattern discrimination support vector machine
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An Improved Sensor Fault Diagnosis Scheme Based on TA-LSSVM and ECOC-SVM 被引量:10
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作者 GU Xiaodan DENG Fang +1 位作者 GAO Xin ZHOU Rui 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2018年第2期372-384,共13页
Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential. This paper proposes an improved fault diagnosis scheme for sensors, which includes both fault detection and faul... Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential. This paper proposes an improved fault diagnosis scheme for sensors, which includes both fault detection and fault identification. Firstly, trend analysis combined with least squares support vector machine(TA-LSSVM) method is proposed and implemented to detect faults. Secondly, an improved error correcting output coding-support vector machine(ECOC-SVM) based fault identification method is proposed to distinguish different sensor failure modes. To demonstrate the effectiveness of the proposed scheme, experiments are conducted with an MTi-series sensor, and some comparisons are made with other fault identification methods. The experimental results demonstrate that the proposed fault diagnosis scheme offers an essential improvement with detection real-time property and better identification accuracy. 展开更多
关键词 ECOC fault detection fault identification SVM TA.
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