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检索条件"任意字段=IEEE International Conference on Signal Image Technology and Internet Based Systems"

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Indoor Height Recovery by Cellular signal Data: Poster Abstract 21

Indoor Height Recovery by Cellular Signal Data: Poster Abstr...

引用

6th ACM/ieee international conference on internet of Things Design and Implementation, IoTDI 2021

作者： Lv, Jinhua Zhang, Yige Rao, Weixiong Liu, Erwu Wang, Rui Dong, Zhao Fu, Zhiren Chen, Yanfen Tongji University China China Mobile China China Telecom China China Unicom Shanghai China

ISBN: (纸本)9781450383547

Understanding fine-grained distribution of telecommunication (Telco) indoor signals within high buildings is important for Telco operators to optimize wireless communication quality. A key task is to tag Telco indoor signals with associated height labels, i.e., the so-called indoor height recovery problem. Unlike existing works requiring sufficient training data within a single building, it is rather hard to generalize the problem across city-scale buildings, especially for those target buildings with scarce training data. To this end, we consider how to perform the height recovery problem for such target buildings with help of source buildings having sufficient labelled Telco signal data. We present a deep neural network (DNN)-based framework which involves three key steps (Telco signal parametrization, spatial image construction and DNN-based height estimation) to fill the gap between the buildings. Our preliminary evaluation demonstrates the potential of our work. © 2021 Owner/Author. © 2021 ACM.

关键词： Buildings

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Tone and image Processing in Graphic Design based on De-Mosaic technology 2

Tone and Image Processing in Graphic Design based on De-Mosa...

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2nd international conference on Smart Electronics and Communication, ICOSEC 2021

作者： Wu, Zhen Suzhou Vocational University JiangSu SuZhou215000 China

ISBN: (纸本)9781665433686

The field of visual communication includes a wide range of design. Besides logo design, it is also popular to use graphic flat design, packaging design, poster design, illustration design and so on. based on the diversification of new media and the rapid development of the internet, visual communication has gradually emerged some new characteristics of the times. This paper designs a joint image mosaic denoising method based on deep convolution network, and also utilizes the network to correct the learned mapping relationship. The experimental results show that this method can obtain color images with rich texture and good visual effect. © 2021 ieee.

关键词： Visual communication

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D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty

D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lan...

引用

international conference on Acoustics, Speech, and signal Processing (ICASSP)

作者： Nayeon Kim Moonsub Byeon Daehyun Ji Dokwan Oh Samsung Advanced Institute of Technology

The estimation of 3D lanes from monocular RGB images is a fundamentally ill-posed problem. Previous studies have assumed that all lanes are on a flat ground plane. However, we argue that the algorithms based on this assumption have difficulty in detecting various lanes in actual driving environments. Contrary to previous approaches, we expand rich contextual features from an image domain to a 3D space by utilizing depth-aware voxel mapping. In addition, we determine 3D lanes based on voxelized features. We design a new lane representation combined with uncertainties and predict the confidence intervals of 3D lane points using Laplace loss. Experimental results show that the proposed method achieves state-of-the-art detection accuracy on three challenging datasets, including two real-world datasets, and significantly outperforms existing methods with reasonable computation load.

关键词： Three-dimensional displays Uncertainty Lane detection Roads signal processing algorithms Estimation signal processing

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Physical Intrusion Detection via signal Reflection in Fieldbus Network

Physical Intrusion Detection via Signal Reflection in Fieldb...

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ieee international conference on Communications in China Workshops (ICCC)

作者： Hao Huang Long Meng Xiangming Wang Chenwei Yang Famao Mei Qinqin Wu Tengteng Ma Yang Liu Department of Cyber Security Guangdong Power Dispatching and Controlling Center Guangdong Power Grid Guangzhou China MoE KLINNS Lab Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798350377675

ISBN: (纸本)9798350377682

As the underlying network of wind energy con-version systems (WECS), fieldbus networks are typically pro-tected from cyber attacks through network isolation. However, attackers can bypass the isolation mechanism and physically connect malicious devices to networks to launch various attacks. Existing methods mainly focus on obtaining abnormal signals from intrusion devices to detect intrusion devices. However, these methods cannot detect inactive intrusion devices which only eavesdrop without sending any signals. In this paper, we discover signal differences caused by reflection signals and propose a physical intrusion detection method based on reflection signal extraction. By extracting the voltage characteristics of the rising and falling edges of normal transmission signals and constructing fingerprints, our method can effectively detect inactive intrusion devices. The experimental results on a real CAN testbed show that the F -score for detecting inactive intrusion devices can reach 95.2 % in various attack scenarios.

关键词： Support vector machines Wind energy image edge detection conferences Intrusion detection Voltage Fingerprint recognition Feature extraction Reflection Cyberattack

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image homogenization based on gray level co-occurrence matrix and region-growing for spaceborne Martian exploration SAR calibration

Image homogenization based on gray level co-occurrence matri...

引用

signal, Information and Data Processing (ICSIDP), ieee international conference on

作者： Zhoujie He Wei Guo Xiaoping Li School of Aerospace Science and Technology Xidian University Xi’an China Guangzhou Institute of Technology Xidian University Guangzhou China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

Researchers use radar echoes to probe the ionosphere, with synthetic aperture radar (SAR) being one of the current methods for Mars ionosphere detection. The accuracy of radar echoes affects the ionosphere detection results, making radiometric calibration of radar echoes necessary. Due to the size of point targets and the harsh Martian environment, deploying artificial calibrators on Mars is challenging. Thus, there is a need for a distributed SAR target radiometric calibration method suitable for the unique Martian landscape. The antenna pattern is a major influencing factor in radiometric calibration. Homogenized targets are essential for spaceborne synthetic aperture radar (SAR) to obtain antenna patterns using flat and uniform areas. Mountainous desert geology is widespread on Mars and can be utilized for radiometric calibration, but these areas are not uniform and require the removal of non-uniform regions. This paper presents a homogenization method that employs the Gray-Level Co-occurrence Matrix (GLCM) and a region-growing algorithm to generate a mask, effectively achieving the uniformization of non-uniform surface targets. Consequently, the coefficient of variation (CV), a metric used to assess data dispersion, exhibited a reduction of 34%.

关键词： Mars Spaceborne radar Geology Radar detection Radiometry Radar antennas Calibration Indexes Synthetic aperture radar Ionosphere

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A context-based image segmentation using multiverse optimization and joint entropy

A context-based image segmentation using multiverse optimiza...

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2021 international conference on Control, Automation, Power and signal Processing, CAPS 2021

作者： Chouksey, Mausam Jha, Rajib Kumar Indian Institute of Technology Patna Dept. of Electrical Engineering Patna India

ISBN: (纸本)9781665445771

One of the most commonly used approaches for image segmentation is multilevel thresholding. Histogram segmentation is the most often used approach in image segmentation. While histogram-based techniques only examine intensity frequency and ignore spatial information. Contextual knowledge helps improve the segmented image by helping users see how vital each pixel is and comprehend the context of other pixels. Spatial information is built into a curve with the same characteristics as a histogram. This work proposes Joint entropy and a multilevel energy curve for segmenting colour images. Multiverse optimization is employed as an optimization algorithm to find out the threshold. The energy curve based method is compared with a histogram-based method and variational mode decomposition-based method. The numerical metrics used to evaluate the proposed algorithm's output include structural similarity index, feature similarity index, peak signal to noise ratio, uniformity and a quality index based on local variance and computing time. Experiments show that the proposed algorithm produces more consistent results than existing techniques. The proposed algorithm delivers more consistent results than the other two techniques, according to the experiments. © 2021 ieee.

关键词： Variational mode decomposition

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Research on the Application of Computer Graphics and image technology in Visual Communication 4

Research on the Application of Computer Graphics and Image T...

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4th international conference on Computer Information Science and Artificial Intelligence, CISAI 2021

作者： Jiang, Songru Tianjin Academy of Fine Arts Tianjin300141 China

ISBN: (纸本)9781665406925

In recent years, the field of visual communication has developed rapidly, and computer graphics and image technology have been fully applied in it. based on this, this article first expounds the relationship between computer graphics technology, visual communication, and clarifies the similarities and differences between computer graphics technology and visual communication. A simple analysis of computer graphics and image technology commonly used in the field of visual communication involves digital image enhancement technology and digital image restoration technology, and points out the application direction of computer image technology in visual communication. At the same time, in-depth discussion of the specific application steps of the technology is specifically related to image preprocessing, image beautification processing and other content, combined with simulation analysis can be determined. The computer graphics and image processing technology used in this article can get the highest peak signal-to-noise ratio in the shortest computing time. © 2021 ieee.

关键词： Visual communication

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Robust multiple model-based control proposed for a SISO CSTR Benchmark 2

Robust multiple model-based control proposed for a SISO CSTR...

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2nd ieee international conference on signal, Control and Communication, SCC 2021

作者： Yousfi, Marwa Garna, Tarek Messaoud, Hassani University of Monastir Research Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir Monastir5019 Tunisia University of Sousse Higher Institute of Applied Science and Technology of Sousse Sousse4003 Tunisia

ISBN: (纸本)9781665402705

In this paper, robust multiple model-based LSDP (Loop-Shaping Design Procedure) controller is proposed for a SISO system where each linear submodel is represented in the form of a SISO ARX (Auto Regressive with exogenous input) Laguerre model. The proposed controller guarantees robustness in term of stability and reference tracking of the SISO system in presence of parametric uncertainties. Simulation example on the SISO CSTR (Continuous Stirred Tank Reactor) Benchmark is given to show the efficiency and the robustness of the proposed controller in handling the parametric uncertainties of the process. © 2021 ieee.

关键词： Controllers

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Research on Chinese Word Separation based on Deep Learning 6

Research on Chinese Word Separation Based on Deep Learning

引用

6th ieee international conference on Intelligent Computing and signal Processing, ICSP 2021

作者： Chen, Yuanyi College of Internet of Things Jiangxi Teachers College Yingtan City Jiangxi Province China

ISBN: (纸本)9780738143705

Currently, a large amount of information is generated every day, and natural language processing techniques can help people to get the information they need quickly. For natural language processing of Chinese, Chinese word separation is a fundamental task in natural language processing. At present, research on Chinese word separation is basically based on machine learning methods, with the disadvantage that a large number of features need to be constructed manually. To address the shortcomings of current Chinese word sorting, this paper first analyzes the common methods and deep learning models for Chinese word sorting, and proposes an improvement scheme based on the Chinese word sorting model Bi LSTM+textbf CRF. And experiments are designed to verify the correctness and superiority of the model proposed in the paper on Chinese word separation on three datasets. © 2021 ieee.

关键词： Separation

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Porting a Python Application to the Web Using Django: A Case Study of an Archaeological image Processing System

Porting a Python Application to the Web Using Django: A Case...

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international conference on Software Engineering Research, Management and Applications (SERA)

作者： Hikaru Tomita Mariko Sasakura Kinari Nishiura Hiroki Inayoshi Akito Monden Graduate School of Environmental Life Natural Science and Technology Okayama University Okayama Japan International Platform for Dryland Research and Education Tottori University Tottori Japan Faculty of Information and Human Sciences Kyoto Institute of Technology Kyoto Japan Faculty of Environmental Life Natural Science and Technology Okayama University Okayama Japan

ISBN: (数字)9798350391343

ISBN: (纸本)9798350391350

In recent years, desktop applications are often ported to the Web. This is because Web applications running in a cloud environment have many advantages, for example, they can be used by a wide variety of clients over the internet and can dynamically allocate computing resources according to demand. Such porting is also very important in terms of effectively utilizing existing software assets in a modern environment. However, porting to the Web involves numerous considerations that are not easy for those without the knowledge and skills to perform. In this paper we describe in detail our experience of porting a desktop Python application, which uses the image processing library OpenCV and the GUI library PySimpleGUI, into a web application, which uses the web framework Django, the CSS framework Bootstrap, the database management system MySQL and phpMyAdmin. We also employed Docker and Docker Compose for flexible development and deployment. Through our experience, we have identified six key aspects to consider when porting a desktop application to the web. This paper will elaborate on these aspects and how to deal with them. This paper also reports which parts of source code could be reused, which parts had to be newly developed, and the size and time required to conduct reuse, modification, and additional development.

关键词： Knowledge engineering image processing Source coding Virtual environments Software Libraries Database systems

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