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An Automated Analysis for Anatomical Structure of Distal Femur from MDCT image by Contour Tracing

An Automated Analysis for Anatomical Structure of Distal Fem...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Yosuke Uozumi Kouki Nagamune Daisuke Araki Yuichi Hoshino Takehiko Matsushita Ryosuke Kuroda Masahiro Kurosaka Graduate School of Engineering University of Fukui Fukui Japan Department of Orthopaedic Surgery Kobe University Graduate School of Medicine Kobe Japan Kobe Daigaku Kobe Hyogo JP

ISBN: (纸本)9781479932122

Comparison of anatomical or functional parameters is common theme in the evaluation of unilateral pathologies of the human knee joint, although the degree of bilateral symmetry is unknown. Currently, the evaluation is performed manually. Therefore, diversity of the evaluation happens due to the subjective judgment. To reduce the diversity, we propose an automated analysis method for anatomical knee structure from multi-detector row computerized tomography (MDCT) image. The experiment employed six different knees. Then, symmetry data were made from the six raw data by using mirroring processing. The six raw data and six mirroring data were evaluated by the proposed and manual method. The results of the proposed method indicated that there was no difference between the raw and mirroring data, while the results of the manual method clarified that there is almost two mm difference between them. It is concluded that the proposed method could identify the anatomical structure with no difference between bilateral knees.

关键词： Bones Mirrors Vectors Manuals Anatomical structure Joints Shape

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Network Parameters in Practice: A Case Study Using the Target Set Selection Problem

Network Parameters in Practice: A Case Study Using the Targe...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Callum Lowcay Stephen Marsland Catherine McCartin Massey University Palmerston North New Zealand

It is well known that many real-world networks (`complex' networks), such as social, biological, and communication networks, have distinctive topological features. However, in general, it is an open question whether or not these features can provide any algorithmic benefits. In this paper we introduce ideas from the area of parameterized complexity to try and provide a partial answer to this question. We investigate the values of some of the parameters commonly employed by the parameterized complexity community in a range of real social, biological, and communication networks. In all cases, the parameter values are much too high to be of practical use. We then investigate dynamic strategies for exploiting the distinctive topological features of real-world networks to improve the prospects for efficient computation of acceptable problem solutions, using both fixed-parameter and greedy approaches. Our strategies involve simple targeted operations, vertex deletion and edge addition, that could easily be applied in the case of social networks, for example. As a case study, we consider the Target Set Selection problem, a general and ubiquitous problem that models many problems concerning the spread of information in networks.

关键词： Blogs Complexity theory Social network services Algorithm design and analysis Heuristic algorithms internet Electronic mail

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The research of coal mine conveyor belt tearing based on digital image processing

The research of coal mine conveyor belt tearing based on dig...

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international conference on Communication, Electronics, and Automation Engineering, 2012

作者： Zeng, Qing-Liang Wang, Ji-Gang Wang, Liang Wang, Cheng-Long College of Mechanical and Electrical Engineering Shandong University of Science and Technology Qingdao 266510 China

ISBN: (纸本)9783642316975

The application of digital image processing has been widely used in industrial detection. In coal mine production, the conveyor belt easily tearing. This will take advantage of computer on terms of quick and accurate. This uses the method of mixed programming with C++ & Matlab to process image signal, and designs the hardware and software of the detection system. This system will improve the reliability of detection of the belt tearing, the detection with intuitive, fasting and accurate. © 2013 Springer-Verlag.

关键词： Belt conveyors

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Adaptive Multiscale Retinex for image Contrast Enhancement

Adaptive Multiscale Retinex for Image Contrast Enhancement

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international IEEE conference on signal-image Technologies and internet-based System

作者： Chang-Hsing Lee Jau-Ling Shih Cheng-Chang Lien Chin-Chuan Han Dept. of Comp. Sci. and Inf. Eng. Chung Hua University Hsinchu Taiwan

ISBN: (纸本)9781479932122

Many people will use digital cameras and camera phones to take images. However, the visual quality (contrast, color rendition, etc.) of some acquired images may be poor due to the limitation of capturing devices or improper illumination conditions, particularly in wide dynamic range scenes. Thus, the images generally consist of both overexposed and underexposed areas. Conventional image enhancement methods may either fail to produce satisfactory and undistorted images, or cannot improve every region of interest appropriately. Single-scale retinex (SSR) and multiscale retinex (MSR), which is defined as a weighted sum of several SSRs, were developed for local image contrast enhancement and dynamic range compression. In this paper, an adaptive multiscale retinex (AMSR) approach will be proposed for image contrast enhancement. In AMSR, the weight associated with each SSR output image is adaptively computed according to the content of the input image in order to produce an enhanced image with natural impression and proper tonal rendition in every region of the image. Experimental results on several low contrast images have shown that our proposed AMSR approach can produce natural and appealing enhanced images.

关键词： image color analysis Lighting Dynamic range image coding Noise Face image enhancement

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Urban Road Network Extraction based on Zebra Crossing Detection from a Very High Resolution RGB Aerial image and DSM Data

Urban Road Network Extraction Based on Zebra Crossing Detect...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Darlis Herumurti Keiichi Uchimura Gou Koutaki Takumi Uemura Graduate School of Science and Technology Kumamoto University Kumamoto Japan Faculty of Computer and Information Science Sojo University Kumamoto Japan

Recently, road network extraction in urban areas using high resolution data, has attracted many researchers because it is very challenging and important work in order to provide an intelligent spatial processing. In this work, we use two types of data: an extremely high-resolution image in which the signature of the road, such as zebra crossing, road lines, cars, and the like, can be seen in detail, and DSM data, which is based on the elevation of the surface. We propose a road extraction based on zebra crossings detection where there is a simple peculiar pattern to recognise. In this task, we employ a circle mask template matching and Speeded Up Robust Features (SURF) method in order to detect and evaluate the zebra crossing location in an RGB aerial image. These locations of zebra crossings represent the starting point of the road and we associate it to the corresponding DSM data to obtain the elevation information. In the DSM data, the elevation of the road and the building differ significantly, therefore, we expand the starting point based on a local thresholding and seeded region growing to create an initial road region quickly. Furthermore, we utilise morphological opening operation with a line shape structural element to produce the road line and remove the false alarms. The experimental result shows that the proposed method is run quick enough with good accuracy.

关键词： Roads Feature extraction Data mining Skeleton Filtering Spatial resolution

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A Cloud Service for End-User Participation Concerning the internet of Things

A Cloud Service for End-User Participation Concerning the In...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Colin Atkins Keiichi Koyanagi Takeshi Tsuchiya Tadashi Miyosawa Hiroo Hirose Hiroaki Sawano Production and Systems Waseda University Kitakyushu Japan Faculty of Business Administration and Information Tokyo University of Science Suwa Japan Faculty of Information Science Aichi Institute of Technology Toyota City Japan

The trend "internet of Things" (IoT) equips Objects with a internet connection in order to let people benefit from this interconnectivity. We propose a concept which is not only about the interconnectivity of Objects but mainly how we could easily enhance our usage of Objects through data. The investment into omnipresent internet-capable devices is not reasonable in every scenario. Our goal is to close this gap by assigning Objects to a unique key alongside which data is stored in a highly-scalable and available cloud service. By accessing this stream of data, which could be any type of data like photo, video or text, we can directly describe its past status to others. Also agreements in textual form can be made on Objects between users giving the ability to log interactions. The service is planned to be realized as App for mobile devices as well as website. With our service we aim to let users easily collect data about a Object and thus creating a digital representation within a high-speed cloud network, which is accessible by a user account. We believe that our system has massive potential to ease up previously time-consuming processes when information about Objects are gathered. Our system makes it possible to let end-users participate in the creation of a IoT based on collecting and assigning data, enhancing every ones ability to reason and interact with Objects.

关键词： Databases Peer-to-peer computing Cloud computing Data models Arrays Mobile handsets

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Bluetooth signal collector research and its application in pedestrian traffic survey

Bluetooth signal collector research and its application in p...

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2nd international conference on Transportation Information and Safety: Improving Multimodal Transportation systems - Information, Safety, and Integration, ICTIS 2013

作者： Hu, Zhongwei Deng, Xiaoyong Wen, Huimin Guo, Jifu Beijing Transportation Research Center No. 9 Liuliqiao South Road Fengtai District Beijing 100073 China

ISBN: (纸本)9780784413036

As the combination of internet of Things and transportation, the research for pedestrian or vehicle traffic information collection have been carried out. This paper shows the concepts and methodologies of Bluetooth signal collectors, which can collect real-time Bluetooth signals from portable electronic devices such as intelligent cellular phones, PDA, Bluetooth headsets, etc., within its coverage. In field application, Bluetooth signal collectors are distributed to fixed points in the traffic network. based on the matches of uniform Bluetooth MACs in time series, the traffic parameters can be collected precisely. After programming design, circuit design and electronic components selection, sets of prototypes were developed. Then, groups of experiments were carried out and the detection rate of the collector prototype was found to be 85% with self-antenna. Furthermore, the influence factors for missing signal detection were summarized. based on the research, the Bluetooth signal collectors were applied in field pedestrian traffic survey at metro transfer stations squares. It is concluded that important parameters of pedestrian traffic can be collected and calculated accurately, including the arrival and departure distribution of tourists, the transfer ratios and transfer time, which are essential for refined traffic planning and management. © 2013 American Society of Civil Engineers.

关键词： Bluetooth

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Two-Stage Recognition for Printed Thai and English Characters Using Nearest Neighbor and Support Vector Machine

Two-Stage Recognition for Printed Thai and English Character...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Chayut Wiwatcharakoses Karn Patanukhom Department of Computer Engineering Chiang Mai University Chiang Mai Thailand

In this paper, we introduce a two-stage recognition process for classification of 164 classes of mixing of printed Thai and English characters. Various structural features based on image ratios, image projections, outer boundaries, Pyramid Histogram of Oriented Gradients (PHOG) are extracted from images. In the first stage, Fuzzy C Mean Clustering (FCM) is applied to create prototypes of every character. The class of nearest neighbor prototype is determined and used as the first stage classification output. A hybrid structure of nearest neighbor classifier and Support Vector Machine (SVM) are proposed for the second stage. based on classification results obtained from the first stage, the suitable classifiers can be selected. For SVM classifier, possible class candidates for each prototype are analyzed from confusion matrices of the first stage result. For nearest neighbor classifier, in order to refine the result, accurate search on a limited set of training samples corresponding to the nearest prototypes obtained in the first stage is performed. According to experiments on data set of more than 500,000 character images with various font styles, sizes, and resolutions, we obtain the accuracy of 88.09% in the first stage and the result is improved to 97.06% in the second stage. The experiments also show improvement of the proposed scheme in comparison with conventional schemes.

关键词： Prototypes Support vector machines Training image edge detection Feature extraction Character recognition Training data

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Modeling effects of physical factors on controller area network in cyber-physical systems

Modeling effects of physical factors on controller area netw...

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2013 IEEE international conference on Green Computing and Communications and IEEE internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

作者： Shen, Bo Zhou, Xingshe Wang, Ru School of Computer science Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9780769550466

Cyber-physical systems (CPS) are becoming a promising research field to integrate the computing components, the physical processes, and the communication networks. A primary challenge in designing CPS is to understand the effect of physical factors on the communication. In the paper we propose a mathematical model to present the relations between the performance of Controller Area Network (CAN) and some physical factors, such as the temperature, the impedance value and the electromagnetic interference. The first two factors are not considered in previous studies, while the error-arriving models are often used to describe the latter one. The proposed model is based on the probability density function of the voltage generated by noise. Using the model, we can obtain insights into the bit-error rate as a function of these physical factors. Compared to existing error models of CAN, our model is more accurate. Our work provides fundamental insights into the impact of the physical factors on communication. © 2013 IEEE.

关键词： signal interference

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Distributed and Parallel Subarray Beamforming for Near-Field 3D Sonar Imaging 3

Distributed and Parallel Subarray Beamforming for Near-Field...

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3rd international conference on Computer Science and Network technology (ICCSNT)

作者： Han, Yeqiang Fu, Jiabao Zhou, Fan Tian, Xiang Chen, Yaowu Zhejiang Univ Inst Adv Digital Technol & Instrumentat Hangzhou Zhejiang Peoples R China Zhejiang Prov Key Lab Network Multimedia Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781479905614

The computational load is prohibitive in 3D sonar systems for real-time image generation. In the literature, an efficient frequency beamforming method based on the distributed and parallel subarray (DPS) has been introduced for planar arrays working in the far field. This paper extends the DPS beamforming algorithm to process the signals acquired from a scene in the near field. The alogrithm divides the full populated transducer array into two stage distributed subarrays. It performs parallel beamforming on the first-stage subarrays and applies the approximation for time delays in the near-field beam patterns of the second-stage subarray. The computational efficiency is significantly improved as compared with the traditional methods, while achieving the similar resolutions. In addition, a multi-FPGA signal processor is proposed for implementing the underwater 3-D imaging.

关键词： underwater 3D imaging sonar sensor array system sonar signal processing distributed and parallel subarray beamforming

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