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检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

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Input Collapse of CMOS Logic Gates with a Series-Connected MOSFET Chain

Input Collapse of CMOS Logic Gates with a Series-Connected M...

引用

2004 7th International conference on Solid-State and Integrated Circuits Technology（ICSICT 2004）

作者： Anura P.Jayasumana Dept of Electrical and Computer Engineering Colorado State UniversityFort CollinsCO 80523USA

We propose a generic series-connected MOSFET chain model(SMCM)extending the PDSMM[2],to describe the peculiar DC characteristics of a series MOSFET *** state propagation delays(ISPDs) are defined as propagation delays due to initial states of intermediate nodes of a series-connected MOSFET chain. Two extreme and important ISPDs,called as fast ISPD and slow ISPD,are *** effect of input patterns of CMOS logic gates on propagation delays in the two ISPDs is ***,an efficient mapping algorithm for every possible input pattern to an equal input ramp is introduced.

关键词： MOSFET Input Collapse of CMOS Logic Gates with a Series-Connected MOSFET Chain

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Saliency aggregation via hard-voting evolution

Saliency aggregation via hard-voting evolution

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2015 IEEE 12th International conference on Electronic Measurement & Instruments

作者： Zheng Ling Chen Shuhan Hu Xuelong School of Information Engineering Yangzhou University

Generic object level saliency detection is important for many vision tasks, such as object detection, compression, recognition, segmentation and so on.. A variety of saliency detection methods have been proposed in recently, which often complement each other. In order to combine them, we propose a Hard-voting Evolution saliency aggregation algorithm in this paper. Specially, it is consist of three stages. First, we integrate each individual map to get a reference map by linear summation. Second, each of the individual maps is updated in Bayes framework based on the obtained reference map. third, we use our proposed approach to get the aggregated saliency map. Finally, we do iterative operation to further improve performance. Experiments on three publicly available datasets demonstrate that the proposed algorithm performs favorably against the state-of-the-art methods.

关键词： Saliency detection Saliency aggregation Hard-voting Evolution

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Analysis on the Development of Augmented Reality in the United States

Analysis on the Development of Augmented Reality in the Unit...

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2019 7th International conference on Machinery,Materials and Computing Technology(ICMMCT 2019)

作者： Junfeng Yu Yanqing Zhao Bo Zhang Chen Li Xianyi Li Information Institute Qilu University of Technology(Shandong Academy of Sciences) National Science Library Chinese Academy of Sciences

Augmented Reality(AR) is a multi-disciplinary field,which includes computer vision,computer graphics,sensors,networks,GPS and many other *** the increasing maturity of augmented reality technology,augmented reality system will gradually enter various application fields,which has great application value and application *** this study,Web of Science Core Collection database is used as data *** Excel,Bibexcel,VOSviewer and CiteSpace software for data mining and quantitative analysis of the 1993-2019 year research papers on augmented reality in the United States,we explore the trend of change,the distribution of research forces,key areas,research hot spots and cooperation.

关键词： bibliometric analysis augmented reality development trends interactive learning environment

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A Practical Means for the Calibration of a Binocular Structured Light System

A Practical Means for the Calibration of a Binocular Structu...

引用

2014 4th IEEE International conference on Information Science and Technology

作者： Hui Chen Zexi,Feng Zhan Song Institute of Advanced Materials University of Posts and Telecommunication Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences The Chinese University of Hong Kong

this paper presents a practical means for the calibration of a binocular structured light system(SLS). Considering the characteristics of binocular SLS, 3D coordinates of space points are indicated by the average values of two cameras and then used to calibrate the projector. According to the idea of bundle adjustment, an error function is constructed to minimize the whole calibration errors. And a non-linear least squares function is applied to find the minimum to the sum of squares of the function. the experimental results show that, with the optimized calibration results, less calibration errors and better alignment of 3D scanning data can be obtained.

关键词： SLS image A Practical Means for the Calibration of a Binocular Structured Light System

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Basic treatment principles for urinary tract infections with chinese herbal medicine: An application of text mining

Basic treatment principles for urinary tract infections with...

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International conference on computer Sciences and Convergence Information Technology (ICCIT)

作者： Yangping Cai Guanglei Wang Xiuchen Yu Guang Zheng Feng Cai Aiping Lu Miao Jiang Yunyu Huang Beijing Dongzhimen Hospital Beijing University of Chinese Medicine Beijing China School of Information Science-Engineering Lanzhou University Lanzhou China Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing China Hong Kong Baptist University School of Chinese Medicine Hong Kong China

ISBN: (纸本)9781467308946

Urinary tract infections (UTIs) are among the most common infectious diseases occurring in either the community or healthcare setting. Approximately one third of all women have had at least one physician-diagnosed uncomplicated UTI by the age of 26 years. A broad range of pathogens can cause complicated UTI. Escherichia coli remains the most common organism causing UTI. Antimicrobial resistance is one of the most common problems in complicated UTI which can cause treatment failure and serious complications. Antibiotic-resistance has been increasing in the past decades worldwide. chinese herbal medicine (CHM) has been an integral part of Traditional chinese Medicine (TCM) for thousands of years. Some chinese herbs in the study were proved to have antibacterial activity, which prompted their compound prescription use in the management of UTI. Many herbal formulations have been developed and used in the treatment of UTI and were proved to be effective and safe. Yet the principles of treating UTI with CHMs are hard to manage due to the complexity of TCM theory. In this study, a novel text mining method was development based on a comprehensive collection of literatures in order to explore the treatment principles more intuitively. Networks of TCM patterns and CHMs which are most frequently used in UTI treatment are built-up and analyzed, two major principles are explored in treating UTI from 44,662 records of literature: Clearing the damp-heat with strengthening healthy qi. these findings might guide the clinicians in treatment of obesity.

关键词： chinese herbal medicine pattern Text mining Traditional chinese medicine Urinary tract infection

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Automatic Docking Design of Flange Pipe Based on Spatial Information

Automatic Docking Design of Flange Pipe Based on Spatial Inf...

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International conference on Information Science and Control Engineering (ICISCE)

作者： Xingxun Li Xiuhua Zhang Jinmeng Wu Jian Huang Pianpian Chen Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China Hubei Engineering Research Center of Video Image and HD Projection Wuhan Institute of Technology Wuhan China

With the development of ship industry, pipeline system has been more and more widely used. However, the pipeline site space is narrow. Mechanical and electrical equipments are of all kinds. the pipeline cable is densely distributed. All problems mentioned above seriously affects the pipeline construction. In order to solve the problem of pipeline docking, the method of making model and comprehensive lofting is usually adopted. However, this method is technically backward. the operation is inconvenient due to the narrow onsite space. the required period is long. With low information utilization and accuracy, the method of making model and comprehensive lofting has a great influence on the development cycle and design quality. In order to solve these problems, this paper presents a design method and system of flange pipe docking. A binocular camera is used to obtain the image of the pipe joint. the center position of the flange surface and array holes on the flange surface are extracted from the image, which is bias of subsequent work. First, the path of the intermediate connecting pipe is calculated. then, according to the pipe standards of intermediate connection pipe and production specification of enterprise, the model of intermediate connecting pipe is automatically generated by using secondary development technology of CAD. In this paper, the binocular vision technology is combined with pipeline docking design, which significantly improves the utilization rate of field space information and design efficiency, and solves the problems of inconvenient operation and safety risk of traditional profiling method.

关键词： Industries Solid modeling Design methodology Pipelines Production Flanges Feature extraction

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Bayesian self-organization 93

Bayesian self-organization

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Proceedings of the 7th International conference on Neural Information Processing Systems

作者： Alan L. Yuille Stelios M. Smirnakis Lei Xu Division of Applied Sciences Harvard University Cambridge MA Lyman Laboratory of Physics Harvard University Cambridge MA Dept. of Computer Science The Chinese University of Hong Kong Shatin NT Hong Kong

Recent work by Becker and Hinton (Becker and Hinton, 1992) shows a promising mechanism, based on maximizing mutual information assuming spatial coherence, by which a system can self-organize itself to learn visual abilities such as binocular stereo. We introduce a more general criterion, based on Bayesian probability theory, and thereby demonstrate a connection to Bayesian theories of visual perception and to other organization principles for early vision (Atick and Redlich, 1990). Methods for implementation using variants of stochastic learning are described and, for the special case of linear filtering, we derive an analytic expression for the output.

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Text Detection of Power Equipment Nameplates Based on Deep Learning

Text Detection of Power Equipment Nameplates Based on Deep L...

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Chenjun Guo Xianlong Ma Yue Shu Yuting Duan Hong Yu Yi Ma Jiayu Wang Linlin Zhong Bingtuan Gao Electric Power Research Institute of Yunnan Power Grid Co. Ltd. Kunming Yunnan Province P. R. China School of Electrical Engineering Southeast University No 2 Sipailou Nanjing Jiangsu Province P. R. China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

recognition of the nameplate text in power equipment by image recognition technology can effectively improve the equipment management in power system. Text detection is the first step of text recognition, which also affects significantly the accuracy of text recognition. In this paper, an Efficient and Accuracy Scene Text Detector (EAST) based text detection model is proposed for detecting the characters on power equipment nameplates. Data augmentation technology is used to expand the data set of nameplate images. the experiment results show that the proposed model achieves a detection precision of 95.48% and a recall of 97.08%. Compared with the traditional text detection method, the EAST-based model performs better on the nameplate images of power equipment and has stronger generalization ability. Moreover, the nameplate text detection model runs at 7 frames per second (FPS) on average, which is faster than the traditional methods.

关键词： computer vision pattern recognition conferences Erbium Automation Control systems Intelligent systems

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Robust Deep Convolutional Neural Network inspired by the Primary Visual Cortex 22

Robust Deep Convolutional Neural Network inspired by the Pri...

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Proceedings of the 2022 11th International conference on Computing and pattern recognition

作者： Zhanguo Dong Ming Ke Jiarong Wang Lubin Wang Gang Wang School of Computer and Communication Lanzhou University of Technology China and Beijing Institute of Basic Medical Sciences China School of Computer and Communication Lanzhou University of Technology China Beijing Institute of Basic Medical Sciences China Beijing Institute of Basic Medical Sciences China and Chinese Institute for Brain Research Beijing China

ISBN: (纸本)9781450397056

Most of the current advanced object recognition deep convolutional neural networks (DCNNs) are vulnerable to attacks of adversarial perturbations. In comparison, the primate vision system can effectively suppress the inference of adversarial perturbations. Many studies have shown that the fusion of biological vision mechanisms and DCNNs is a promising way to improve model robustness. the primary visual cortex (V1) is a key brain region for visual information processing in the biological brain, containing various simple cell orientation selection receptive fields, which can specifically respond to low-level features. therefore, we have developed an object classification DCNN model inspired by V1 orientation selection receptive fields. the V1-inspired model introduces V1 orientation selection receptive fields into DCNN through anisotropic Gaussian kernels, which can enrich the receptive fields of DCNN. In the white-box adversarial attack experiments on CIFAR-100 and Mini-ImageNet, the adversarial robustness of our model is 21.74% and 20.01% higher than that of the baseline DCNN, respectively. Compared with the SOAT VOneNet, the adversarial robustness of our model improves by 2.88% and 8.56%, respectively. It is worth pointing out that our method will not increase the parameter quantity of the baseline model, while the extra training cost is very little.

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A CMOS Charge Pump with a Novel Structure in PLL

A CMOS Charge Pump with a Novel Structure in PLL

引用

2004 7th International conference on Solid-State and Integrated Circuits Technology（ICSICT 2004）

作者： Zhang Tao~(*1,3),Zou Xuecheng~(1,2),and Shen Xubang~(1,4) 1 Institute of pattern recognition and Artifical Intelligence,Huazhong Univ.of Sci.& Tech.,Wuhan 430074,China. 2 Department of Electronic Science and Technology,Huazhong Univ.of Sci.& Tech.,Wuhan 430074,China 3 Institute of Information,Wuhan Univ.of Sci.& Tech.,Wuhan 430081,China. 4 Xi'an Microelectronic Technology Institute,Xi'an 710054,China.

A novel structure for a charge pump circuit is proposed,in which the current follow technology is used to make perfect current matching characteristics,and two differential inverters are implanted to increase the speed of charge *** results,with 1silicon 0.25um 2.5V CMOS mixed signal process,show the good current matching characteristics regardless of the charge pump output voltages.

关键词： A CMOS Charge Pump with a Novel Structure in PLL

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