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6th International Conference on Intelligent Computing and Signal processing (ICSP)

作者： Zihao Hou Yi Gao Miao Fan Tibet University for Nationalities Xianyang Shaanxi China Tibet Key Laboratory of Optical Information Processing and Visualization Technology Xianyang Shaanxi China Collaborative Research Center for Language Education in Ethnic Minority Areas Xianyang Shaanxi China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Ancient books of Tibetan medicine cover the rich history and unique theoretical system of Tibetan medicine, but it is difficult to systematize and digitize Tibetan medicine. In this paper, the BERT-BiGRU-CRF model is proposed, and the manually annotated corpus data of The Four Medical Tantras is used as the dataset to conduct entity recognition research on the text data in the field of Tibetan medicine, and ablation experiments are set up to verify the effect of each model. The experimental results show that the F1 value of the model reaches 0.8259 in the Tibetan medicine ancient book named entity recognition experiment, and the training speed is faster than that of the common BERT-BiLSTM-CRF model.

关键词： Training Text recognition Computational modeling Named entity recognition Signal processing Data models History

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Automated visibility field evaluation of traffic sign based on 3D lidar point clouds 4

Automated visibility field evaluation of traffic sign based ...

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4th ISPRS Geospatial Week 2019

作者： Zhang, S. Wang, C. Cheng, M. Li, J. Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University Xiamen China Xizang Key Laboratory of Optical Information Processing and Visualization Technology Information Engineering College Xizang Minzu University Xianyang China Department of Geography and Environmental Management Faculty of Environment University of Waterloo Waterloo Canada

Maintaining high visibility of traffic signs is very important for traffic safety. Manual inspection and removal of occlusion in front of traffic signs is one of the daily tasks of the traffic management department. This paper presents a method that can automatically detect the occlusion and continuously quantitative estimate the visibility of traffic sign cover all the road surface based on Mobile Laser Scanning (MLS) systems. The concept of traffic sign's visibility field is proposed in this paper. One of important innovation of this paper is that we use retinal imaging area to evaluate the visibility of a traffic sign. And this makes our method is in line with human vision. To validate the reasonable and accuracy of our method, we use the 2D and 3D registration technology to observe the consistence of the occlusion ratio in point clouds with it in photo. Experiment of implementation on large scale traffic environments show that our method is feasible and efficient. © Authors 2019.

关键词： Visibility

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Construction Feature of Intrinsic Color Vector Span Space on Appearance of Tibetan Traditional Architecture from Digital Images

Construction Feature of Intrinsic Color Vector Span Space on...

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2018 International Conference on Computer, Electronic information and Communications(CEIC 2018)

作者： Jian-min DONG Li-ning LI XiZang Key Laboratory of Optical Information Processing and Visualization Technology Xizang Minzu University School of Information Engineering Xizang Minzu University

This article is focused on the qualitative analysis in the color art analysis of Tibetan traditional architecture(TTA) while lack of quantitative analysis, the definitions of visual distinguishable function, color vector distinguishable level and intrinsic color vector span distinguishable space(ICVSS) are introduced firstly, method for ICVSS is put forward by these definitions and simple set operation about TTA, which is used as the main manifestation of the color features of the TTA. Finally, numerical tests are implemented with the digital images and color point cloud data set is inputted by Matlab programming. The experiments are proved that the method is simple, accurate and effective, and agree with the works of the existing qualitative analysis.

关键词： Color vector Tibetan traditional architecture Intrinsic color vector span space

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Fabrication of g-C3N4 microspheres without template via microwave heating method

Fabrication of g-C3N4 microspheres without template via micr...

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China Functional Material technology and Industry Forum, 2016

作者： Yu, Yong-Zhi Wang, Ji-Gang Jiangsu Key Laboratory of Advanced Metallic Materials School of Materials Science and Engineering Southeast University Nanjing211189 China Xizang Key Laboratory of Optical Information Processing and Visualization Technology School of Information Engineering Xizang Minzu University Xianyang712082 China

ISBN: (纸本)9783035710526

This research reported the preparation of the graphitic carbon nitride (g-C3N4) microspheres without template via microwave heating method using melamine as precursor. The as-synthesized samples were characterized by powder X-ray diffraction (XRD), fourier transform infrared spectroscopy (FT-IR), field-emission scanning electron microscopy (FE-SEM), ultraviolet-visible (UV-Vis) and photoluminescence (PL). Results showed that the g-C3N4 microspheres were successfully synthesized. The diameters of the microspheres range from 800 nm to 1.5 μm, and the shell thickness is about 50 nm. UV-Vis absorption edge and PL peak of the g-C3N4 were shown at 457 nm and 468 nm, respectively, indicating the intrinsic semiconductor-like absorption in the blue region of the visible spectrum. This was the first attempt to prepare g-C3N4 microspheres without template via microwave heating approach, which was proved to be facile and effective. © 2017 Trans Tech Publications.

关键词： Microspheres

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Traffic Sign Timely Visual Recognizability Evaluation Based on 3D Measurable Point Clouds

arXiv

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arXiv 2017年

作者： Zhang, Shanxin Wang, Cheng Yang, Zhuang Wen, Chenglu Li, Jonathan Yang, Chenhui Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University Xiamen361005 China Xizang Key Laboratory of Optical Information Processing and Visualization Technology Information Engineering College Xizang Minzu University Xianyang712000 China MoE Key Laboratory of Underwater Acoustic Communication and Marine Information Technology School of Information Science and Engineering Xiamen University Xiamen361005 China Department of Geography and Environmental Management Faculty of Environment University of Waterloo WaterlooONN2L 3G1 Canada

timely provision of traffic sign information to drivers is essential for the drivers to respond, to ensure safe driving, and to avoid traffic accidents in a timely manner. We proposed a timely visual recognizability quantitative evaluation method for traffic signs in large-scale transportation environments. To achieve this goal, we first address the concept of a visibility field to reflect the visible distribution of three-dimensional (3D) space and construct a traffic sign Visibility Evaluation Model (VEM) to measure the traffic sign’s visibility for a given viewpoint. Then, based on the VEM, we proposed the concept of the Visual Recognizability Field (VRF) to reflect the visual recognizability distribution in 3D space and established a Visual Recognizability Evaluation Model (VREM) to measure a traffic sign’s visual recognizability for a given viewpoint. Next, we proposed a Traffic Sign Timely Visual Recognizability Evaluation Model (TSTVREM) by combining VREM, the actual maximum continuous visual recognizable distance, and traffic big data to measure a traffic signs visual recognizability in different lanes. Finally, we presented an automatic algorithm to implement the TSTVREM model through traffic sign and road marking detection and classification, traffic sign environment point cloud segmentation, viewpoints calculation, and TSTVREM model realization. The performance of our method for traffic sign timely visual recognizability evaluation is tested on three road point clouds acquired by a mobile laser scanning system (RIEGL VMX-450) according to Road Traffic Signs and Markings (GB 5768-1999 in China), showing that our method is feasible and efficient. Copyright © 2017, The Authors. All rights reserved.

关键词： Visibility

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First-principles Theoretical Study on Band of Strained Wurtzite Nb-doped ZnO

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Journal of Wuhan University of technology(Materials Science) 2015年第3期30卷 467-472页

作者：乔丽萍 CHAI Changchun YANG Yintang YU Xinhai SHI Chunlei Xizang Key Laboratory of Optical Information Processing and Visualization Technology School of Information Engineering Xizang University for Nationalities Key Lab of Wide Band-Gap Semiconductor Materials and Devices School of Microelectronics Xidian University

The strain effects of the Zn1-xMgxO substrate on the bands structure of wurtzite Nb-doped Zn O bulk materials have been investigated using fi rst-principles calculations based on density functional theory. Firstly, the band gap increases gradually with increasing Nb contents in unstrained Nb-doped Zn O, which is consistent with the experimental results. Secondly, the band gap decreases with increasing substrate stress in Nb-doped Zn O/Zn1-xMgxO. Splitting energies between HHB（Heavy Hole Band） and LHB（Light Hole Band）, HHB and CSB（Crystal Splitting Band） in Zn0.9167Nb0.0833O/Zn1-xMgxO almost remain unchanged with increasing substrate stress, while decrease slightly in Zn0.875Nb0.125O/Zn1-xMgxO. In addition, detailed analysis of the strain effects on the effective masses of electron and hole in Nb-doped Zn O/Zn1-xMgxO is also given.

关键词： strain band gap Splitting energies effective mass

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A metal-free route to synthesize pure-phase 3C-SiC with excellent optical and magnetic properties

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IOP Conference Series: Materials Science and Engineering 2017年第1期265卷

作者： S Liu J G Wang Jiangsu Key Laboratory of Advanced Metallic Materials School of Materials Science and Engineering Southeast University Nanjing 211100 P.R. China Xizang Key Laboratory of Optical Information Processing and Visualization Technology School of Information Engineering Xizang Minzu University Xianyang 712082 P.R. China.

Large amount of pure-phase 3C-SiC particles were synthesized via microwave heating, without using any metal catalyst. Ball-milling pre-treatment was employed to enhance reaction activity of raw materials prior to the microwave heating process. The morphology, microstructure of the SiC products were characterized by scanning electron microscope (SEM), X-ray diffraction (XRD), and transmission electron microscope (TEM). As the result of SEM, the SiC particles have diameters of 500–2000 nm and smooth surface. TEM image shows that some of the micro-sized SiC particles are composed of agglomerate nano-particles with diameters of 50–200 nm. Photoluminescence and magnetic properties of the SiC products were measured by fluorescence spectrophotometer and vibrating sample magnetometer (VSM), respectively. Ultra-violet emission from the 3C-SiC products can be detected under excitation wavelength of 240 nm. Without any contribution from the magnetic metal ions, the SiC particles can exhibit ferromagnetic properties around room temperature with saturation magnetization (Ms) of 0.9 emu/g, approximately. The excellent optical and magnetic properties of SiC may mainly be attributed to the point defects.

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Automated segmentation of LiDAR point clouds for building rooftop extraction

Automated segmentation of LiDAR point clouds for building ro...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yi Sun Cheng Wang Jonathan Li Zongliang Zhang Dawei Zai Pengdi Huang Chenglu Wen Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen University Xiamen FJ China Xizang Key Laboratory of Optical Information Processing and Visualization Technology Xizang Minzu University Xianyang SN China Department of Geography and Environmental Management University of Waterloo Waterloo ON Canada

ISBN: (纸本)9781509033331

LIDAR (Light Detection and Ranging) is an especially effective tool for acquiring geo-referenced point clouds of urban site. Accurate extraction of elevated features such as building rooftops is vitally important in various applications. However, it is still challenging to determine an accurate rooftop contour from the irregularly distributed LIDAR point clouds. In this paper an efficient LIDAR segmentation method is presented in order to achieve automated rooftop extraction. First, we apply a voxel-based upward growing algorithm that filters out the ground points from the raw point cloud scenes. Second, we employ a Euclidean based clustering method on non-ground points by making use of nearest neighbors. Then we introduce RANSAC (RANdom SAmple Consensus) technique to estimate primitive planes for fitting rooftop facets. Finally, we use concave hull and L 0 regularization to determine the rooftop contour. Accurate experimental results demonstrate the validity of our segmentation method for rooftop extraction.

关键词： Three-dimensional displays Laser radar Buildings Feature extraction Clustering algorithms Filtering Filtering algorithms

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3D road surface extraction from mobile laser scanning point clouds

3D road surface extraction from mobile laser scanning point ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Dawei Zai Yulan Guo Jonathan Li Huan Luo Yangbin Lin Yi Sun Pengdi Huang Cheng Wang Fujian Key Laboratory of Sensing and Computing for Smart City Xiamen University Xiamen Fujian China College of Electronic Science and Engineering National University of Defense Technology Changsha HN China Department of Geography and Environmental Management University of Waterloo Waterloo ON Canada XiZang Key Laboratory of Optical Information Processing and Visualization Technology Xizang Minzu University Xianyang Shaanxi China

This paper presents a new algorithm to directly extract 3D road boundaries from mobile laser scanning (MLS) point clouds. The algorithm includes two stages: 1) non-ground point removal by a voxel-based elevation filter, and 2) 3D road surface extraction by curb-line detection based on energy minimization and graph cuts. The proposed algorithm was tested on a dataset acquired by a RIEGL VMX-450 MLS system. The results fully demonstrate the effectiveness and superiority of the proposed algorithm.

关键词： Roads Three-dimensional displays Feature extraction Mobile communication Minimization Surface treatment Partitioning algorithms

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A novel search engine-based method for discovering command and control server 15th

A novel search engine-based method for discovering command a...

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15th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2015

作者： Guo, Xiaojun Cheng, Guang Pan, Wubin Dinhtu, Truong Liang, Yixin School of Computer Science and Engineering Southeast University Nanjing211189 China Key Laboratory of Computer Network and Information Integration Southeast University Nanjing211189 China School of Information Engineering Xizang Minzu University Xianyang712082 China XiZang Key Laboratory of Optical Information Processing and Visualization Technology Xizang Minzu University Xianyang712082 China

ISBN: (纸本)9783319271361

To solve the problem of getting command and control (C&C) server address covertly for malware of Botnet or advanced persistent threats, we propose a novel C&C-server address discovery scheme via search engine. This scheme is com-posed of five modules. The botmaster uses publish module to issue C&C-server IPs in diaries of several free blogs on Internet firstly. Then these diaries could be indexed by search engine (SE). When the infected terminal becomes a bot, it uses keyword production module to produce search keyword and submits some or all these keywords to SEs to obtain the search engine result pages (SERPs). For items in SERPs, the bot uses filtering algorithm to remove noise items and leave valid items whose abstract contain C&C-server IPs. Lastly the bot utilizes extraction and conversion module to extract these C&C-server IPs and translates them into binary format. The experimental results show that our proposed scheme is fully able to discover and obtain C&C-server IPs via various search engines. Furthermore, if we set proper threshold value for SE, it can extract C&C-server IPs accurately and efficiently. © Springer International Publishing Switzerland 2015.

关键词： Search engines

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