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2020 3rd international symposium on Power Electronics and Control Engineering, ISPECE 2020

作者： Ran, Ruijiang State Nuclear Electric Power Planning Design and Research Institute CO. Ltd Beijing100095 China

Qingnan ± 800kV converter station AC filter bank adopts the improved "Tian"type layout scheme. Through the summary in different majors' modeling, equipment layout, two-dimensional drawing and material statistics methods, the design efficiency and quality can be effectively improved. However, at present, the data transmission between 3d design software and some professional calculation software is not smooth, and a large number of models run slowly after the final assembly. Some software functions are more cumbersome and other issues are still restricting the development of 3d design. This needs to constantly optimize the software function and design process, promote the development of 3d digital design mature. © Published under licence by IOP Publishing Ltd.

关键词： Computer software

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Image-based investigation into the primary fabric of stress-transmitting particles in sand

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SOILS ANd FOUNdATIONS 2016年第5期56卷 818-834页

作者： Fonseca, J. Nadimi, S. Reyes-Aldasoro, C. C. O'Sullivan, C. Coop, M. R. City Univ London London England Imperial Coll London London England UCL London England City Univ Hong Kong Hong Kong Hong Kong Peoples R China

This paper uses three-dimensional images of a natural silica sand to analyse the mechanisms of stress transmission under triaxial compression. As discussed in Fonseca, J., O'Sullivan, C., Coop, M., Lee, P.d., (2012), the irregular morphology and locked fabric that can be found in natural sands lead to the formation of contacts with extended surface areas. However, most of our current understanding of stress-transmission phenomena comes from dEM simulations and photo-elastic experiments using idealised grain shapes and contact topologies. The direct measurement of stress transmission in assemblies of real soil grains is a challenging task. The present study postulates that important insight can be obtained by following the evolution of intergranular contacts as the grains rearrange and by considering how these rearrangements enhance the stability of the material. The methodology consists of measuring the geometrical data of the individual grains and their associated contacts obtained at successive load stages in the post-peak regime (after shear band formation). A statistical analysis of the vectors normal to the contacts reveals a realignment of these vectors in the direction of the major principal stress;this is a clear indication of the formation of force chains. A subsequent analysis shows that these columnar structures of stress-transmitting grains are associated with larger contact surfaces and have distinct patterns in the regions affected by the formation of a shear band. An algorithm based on stability and load-transmission criteria is developed to contribute new insight into the characterisation of load-bearing sand particles. (C) 2016 The Japanese Geotechnical Society. Production and hosting by Elsevier B.V.

关键词： Fabric/structure of soils 3d microscopy Shearing Locked sand Stress-transmission

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Effective Representation gf Three-dimension Nodules for False-Positive Reduction in Pulmonary Nodule detection 3

Effective Representation gf Three-Dimension Nodules for Fals...

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3rd international symposium on Image Computing and digital Medicine (ISICdM)

作者： Guo, Wei Pratama, AdevianFairuz Gong, Zhaoxuan Zhou, Wei Zhao, dazhe Zhang, Guodong Shenyang Aerosp Univ Daoyi South St 37 Shenyang 110136 Liaoning Peoples R China Minist Educ Key Lab Intelligent Comp Med Image Culture RdHeping Dist 11 Shenyang 110819 Liaoning Peoples R China Northeastern Univ Sch Comp Sci & Engn Shenyang 110014 Liaoning Peoples R China

ISBN: (纸本)9781450372626

The convolutional neural networks (CNNs) can learn features representation from large amounts of training data, and it has achieved remarkable successes in image processing. However, due to expensive expert annotation and privacy issues, the lack of sufficient training data limits the application of CNNs, especially for 3d CNNs, in medical images. In this paper, we decomposed a 3d sample into a set of 2d images based on a series of sequential uniformly-distributed viewpoints and used some "effective" 2d images of them to train a 2d CNN for the false-positive reduction in pulmonary nodule detection with fewer model parameters and less computational burden. The 2d images from different representative viewpoints would provide more complete and independent information than simplifying a 3d nodule into several orthogonal planes. And the non-nodules appear clearly as non-circular linear structures in the "effective" 2d images, which enable us well to distinguish nodules from false positives. Our method was evaluated on 888 CT scans from the database of the LUNA16 challenge. Compared with other methods by using 2d CNNs, our proposed method achieves the highest competition performance metric (CPM) score in the false-positive reduction track. Compared to published work using 3d CNNs which needs significantly larger training data, our method achieves comparable performance by using only about 20% of training data. The "effective" 2d images from representative viewpoints augment the database for training a 2d CNN and provide more crucial information of 3d nodules and would improve the performance of false-positive reduction..

关键词： False-positive reduction Effective representation of a 3d nodule 2d convolutional neural networks

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Analysis on the Effect of transmission Power Applied to Small Cells in LTE-Advanced downlink

Analysis on the Effect of Transmission Power Applied to Smal...

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international symposium on Intelligent Signal processing and Communications Systems (ISPACS)

作者： Fushiki, Masashi Akimoto, Yosuke Konishi, Satoshi KDDI R&D Labs Inc Fujimino Saitama Japan

ISBN: (纸本)9781467363617;978146736360+0

In order to cope with huge mobile data traffic, 3GPP (3rd Generation Partnership Project) has started to discuss the architecture and optimization of a network that introduces a large amount of small base stations (small cells) with higher frequency bands into the area covered by macro base stations (macro cells) with lower frequency bands. In such a network, spectral efficiency will be degraded because of the inter-cell interference among small cells. Therefore, it is important to clarify how much the transmission power of small cells is required to decrease inter-cell interference. This paper presents throughput performances as a function of small cell transmission power for two deployment scenarios. The first is the "co-channel scenario," where the same frequency bands are shared by both macro and small cells. The other is the " dedicated channel scenario," where the frequency band of macro cells is different from that of small cells. The numerical results showed that especially the cell-edge user throughput decreases significantly as the transmission power of small cells decreases. In addition, the co-channel scenario outperforms the dedicated channel scenario regardless of the transmission power of small cells, however, higher cell-edge user throughput can be achieved in the dedicated channel scenario compared to that in the co-channel scenario when the traffic offloading technique is introduced.

关键词： LTE-Advanced downlink Small Cell Co-channel Scenario dedicated Channel Scenario Transmit power optimization

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COMPUTERIZEd STRUCTURE CLEARANCE MEASUREMENT SYSTEM (CSCMS)

COMPUTERIZED STRUCTURE CLEARANCE MEASUREMENT SYSTEM (CSCMS)

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3rd Conference on Videometrics

作者： TAYLOR, R KUBIK, K BUB, E TOWNSON, P MOSA INFORMAT TECHNOL PTY LTD BRISBANEQLDAUSTRALIA

ISBN: (纸本)0819416851

Traditional surveying techniques and the use of mechanical structures mounted on rolling stock are the current methods for measuring clearance around Queensland railway lines. A new method, described in this paper, is being developed for Queensland Rail by a consortium of three Brisbane companies. The project involves the merging of two technologies, both of which are themselves evolving rapidly. The first of these is digital Photogrammetry which provides 3d information through the processing of stereo images. The second is the capture of digital images and the pre-processing and transmission of large quantities of video data in an industrial environment. The result is a Computerized Structure Clearance Measurement System which allows operators to make accurate measurements with reference to a clearance gauge profile.

关键词： Video digital photography Image processing Photogrammetry Cameras Computing systems data processing 3d image processing 3d metrology CCd cameras

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Visualizing all the fits: Evaluating the quality and precision of parametric images created from direct reconstruction of pet sinogram data

Visualizing all the fits: Evaluating the quality and precisi...

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2006 3rd IEEE international symposium on Biomedical Imaging: From Nano to Macro

作者： Morris, Evan d. Kamasak, Mustafa E. Christian, Bradley T. Tee, Ean Cheng Bouman, Charles A. Indiana University-Purdue University Indianapolis Istanbul Technical University University of Wisconsin Madison Purdue University

ISBN: (纸本)0780395778

We have recently implemented and tested the direct reconstruction of sinogram data to dense images of kinetic model parameters [1]. In addition, we have recently applied our algorithms to brain data acquired with 18F-fallypride imaging of a monkey [2]. As a multi-dimensional parameter estimation exercise, direct reconstruction to parametric images can be thought of as generating thousands of model-fitted curves (the prediction of measured sinograms) simultaneously. Because the resulting parametric images are only as good as the fits to the data, one would like to have a means of evaluating the "goodness of fit" of each of the model-fitted curves. The size of the data set involved (4d PET data) presents unique problems in the visualization of the fits. In this paper, we propose measures to objectively evaluate the "goodness of fit" of the model to the PET sinograms in orders to evaluate the precision of the parametric images and the validity kinetic model. The techniques presented are, in part, extrapolations of standard parameter estimation techniques [3] to multi-dimensional estimates and are adapted to the tomography paradigm. © 2006 IEEE.

关键词： Image analysis

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3d microfabrication in photosensitive glass by femtosecond laser

3D microfabrication in photosensitive glass by femtosecond l...

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3rd international symposium on Laser Precision Microfabrication

作者： Masuda, M Sugioka, K Cheng, Y Aoki, N Kawachi, M Shihoyama, K Toyoda, K Midorikawa, K RIKEN Inst Phys & Chem Res Laser Technol Lab Wako Saitama 3510198 Japan

ISBN: (纸本)0819446017

We describe a true three dimensional (3d) microfabrication of photosensitive glass by applying a femtosecond (fs) laser which works at fundamental wavelength. First, designed microstructure was written into the glass sample by a tightly focused fs laser beam (wavelength 775nm, pulse width 145+/-5fs, repetition rate 1kHz.);next, this sample underwent a programmed heat treatment;finally it was immersed into 10% hydrofluoric (HF) acid to take an ultrasonic bath. By this approach, true 3d microstructures with embedded microchannels and microcells are directly formed inside the glass matrix, without extra bonding or adhering procedures in those planar fabrication techniques. Such an approach combines the advantages of high precision in laser microfabrication and cost-effectiveness in chemical processing, therefore, could be a promising tool in futuristic manufacture of micro total analysis systems (mu-TAS) and micro fluidic devices.

关键词： 3d microfabrication femtosecond laser photosensitive glass mu-TAS micro fluidic device

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LEARNING-BASEd 3d POINT CLOUd QUALITY ASSESSMENT USING A SUPPORT VECTOR REGRESSOR 19

LEARNING-BASED 3D POINT CLOUD QUALITY ASSESSMENT USING A SUP...

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IS and T international symposium on Electronic Imaging: 19th Image Quality and System Performance, IQSP 2022

作者： Chetouani, Aladine Quach, Maurice Valenzise, Giuseppe dufaux, Frédéric Laboratoire PRISME Université d’Orléans Orléans France L2S Centrale Supélec Université Paris-Saclay Gif-sur-Yvette France

Recent advances in capture technologies have increased the production of 3d content in the form of Point Clouds (PCs). The perceived quality of such data can be impacted by typical processing including acquisition, compression, transmission, visualization, etc. In this paper, we propose a learning-based method that efficiently predicts the quality of distorted PCs through a set of features extracted from the reference PC and its degraded version. The quality index is obtained here by combining the considered features using a Support Vector Regression (SVR) model. The performance contribution of each considered feature and their combination are compared. We then discuss the experimental results obtained in the context of state-of-the-art methods using 2 publicly available datasets. We also evaluate the ability of our method to predict unknown PCs through a cross-dataset evaluation. The results show the relevance of introducing a learning step to merge features for the quality assessment of such data. © 2022, Society for Imaging Science and Technology.

关键词： data visualization

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Resolution Mosaic-based Smart Camera for Video Surveillance

Resolution Mosaic-based Smart Camera for Video Surveillance

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3rd ACM/IEEE international Conference on distributed Smart Cameras

作者： Salem, Mohammed A-Megeed Klaus, Kristian Winkler, Frank Meffert, Beate Ain Shams Univ Fac Comp & Informat Sci Cairo 11566 Egypt Humboldt Univ Dept Comp Sci Signal Proc & Pattern Recognit Grp D-10099 Berlin Germany

ISBN: (纸本)9781424446193

Video surveillance is one of the most data intensive applications. A typical video surveillance system consists of one or multiple video cameras, a central storage unit, and a central processing unit. At least two bottlenecks exist: First, the transmission capacity is limited, especially for raw data. Second, the central processing unit has to process the incoming data to give results in real time. Therefore, we propose an FPGA-based embedded camera system which performs all steps of image acquisition, region of interest extraction, generation of a multiresolution image, and image transmission. The proposed pipeline-based architecture allows a real time wavelet-based image segmentation and a detection of moving objects for surveillance purposes. The system is integrated in a single FPGA using external RAM as storage for images and for a Linux operating system which controls the data flow. With the pipeline concept and a Linux device driver it is possible to create a system for streaming the results of an image processing through a GbE interface. A real time processing is achieved. The camera transmits the captured images with 30(Mpixel)/s, but the system is able to process 100(Mpixe)l/s.

关键词： FPGA Smart Camera 3d Wavelet Transform Image Segmentation Multiresolution

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Tree segmentation from scanned scene data

Tree segmentation from scanned scene data

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3rd international symposium on Plant Growth Modeling, Simulation, visualization and Applications, PMA09

作者： Ning, Xiaojuan Zhang, Xiaopeng Wang, Yinghui Department of Computer Science and Engineering Xi'An University of Technology Xi'an China Ino-French Laboratory LIAMA CAS Institute of Automation Beijing China National Laboratory of Pattern Recognition CAS Institute of Automation Beijing China

ISBN: (纸本)9780769539881

Tree segmentation is an important step in tree reconstruction from scanned data. A new method is presented for automatic extraction of single objects from a complex scene. The proposed method can be used as a solution for tree segmentation from 3d point cloud data with few restrictions, where many complex objects are included in the scene, like trees, building, cars, and so on. The scene data is initially segmented into several small regions according to the distances between points. A weighted combination is constructed on distances and normal angles in each small region for further segmentation. The minimization of the function will be used to determine whether these regions will be merged or not. This method is tested on several data sets. Effective segmental results demonstrated that this approach could be applied to nondestructive measurements in forestry. © 2010 IEEE.

关键词： Forestry

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