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Ruonan Zhao - IEEE Xplore Author Profile

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Author details

Ruonan Zhao

Publications

16

Citations

47

Publications by Year

20222025

Co-Authors:

Xiang BaiJinhua CuiYueyue DaiXianjun DengFang Fu

Show All Co-Authors (31)

Ruonan Zhao

Affiliation

School of Computer Science and Artificial Intelligence

Zhengzhou University

Zhengzhou, China

Publication Topics

Federated Learning,
Data Privacy,
Global Model,
Tensor Decomposition,
Communication Overhead,
Model Parameters,
Convolutional Layers,
Federated Learning Framework,
Internet Of Things,
MNIST Dataset,
Model Performance,
Public Key

Biography

Ruonan Zhao received the B.E. and M.E. degrees from the School of Computer Science, Shaanxi Normal University, Xi’an, China, in 2016 and 2019, respectively, and the Ph.D. degree from the School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2023.,She is with the School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China. Her main research interests include edge computing, mobile crowdsensing, federated learning, and big data analysis.(Based on document published on 27 March 2024).

Publications

16

Citations

47

Publications by Year

20222025

Co-Authors:

Xiang Bai
Jinhua Cui
Yueyue Dai
Xianjun Deng
Fang Fu

Show All Co-Authors (31)

Author's Published Works

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Showing 1-25 of 39,761 resultsfor "Index Terms":Edge Information

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Color edge detection based on mathematical morphology in HSI space

Gao Li;Ling Xiao-ming

2010 International Conference on Computer and Information Application

Year: 2010 | Conference Paper |

Cited by: Papers (4) | Patents (1)

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This paper proposes an adaptive algorithm of color image edge detection which is based on multiple structure and multi-scale elements in HSI space. Firstly, morphological edge detection is executed using different structure and different scale elements to hue, saturation and intensity. Then the color edge information is obtained by combining component's edge information according to the weight der...Show More

Color edge detection based on mathematical morphology in HSI space

Gao Li;Ling Xiao-ming

2010 International Conference on Computer and Information Application

Year: 2010 | Conference Paper |

An Attribute Extraction Algorithm based on Canny

QiSen Wang;BaoSheng Tang;ZePeng Xu;Jie Zheng;XiKun Ke;HeJie Xiao;YouHong Li

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Edge detection of images is a technique to extract information about changes in image properties, which is a hot topic in the field of image research and a prerequisite for image processing and computer vision. Image edges are the set of those pixels in an image that have a step change or roof-like change in the gray scale of surrounding pixels, and contain the most critical information in an imag...Show More

An Attribute Extraction Algorithm based on Canny

QiSen Wang;BaoSheng Tang;ZePeng Xu;Jie Zheng;XiKun Ke;HeJie Xiao;YouHong Li

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )

Year: 2022 | Conference Paper |

A Novel Image Enhancement Algorithm Based on Information Fusion

Qi Bing;Jun Lu;Zhang Jing

2008 International Conference on Computer Science and Software Engineering

Year: 2008 | Conference Paper |

Cited by: Papers (3)

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This paper presented a novel image enhancement algorithm using information fusion (fusionEnhance) to preserve image edges in the image filtering. The proposed algorithm firstly defined fuzzy-based region entropy inspired by the concept of local entropy and region direction gradient respectively as information fusion sources, and then it implemented the triangle module fusion operation for image ed...Show More

A Novel Image Enhancement Algorithm Based on Information Fusion

Qi Bing;Jun Lu;Zhang Jing

2008 International Conference on Computer Science and Software Engineering

Year: 2008 | Volume: 1 | Conference Paper |

A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

Jie Yuan;Xiaoyong Li

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (132)

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The integration of Internet of Things (IoT) and edge computing is currently a new research hotspot. However, the lack of trust between IoT edge devices has hindered the universal acceptance of IoT edge computing as outsourced computing services. In order to increase the adoption of IoT edge computing applications, first, IoT edge computing architecture should establish efficient trust calculation ...Show More

A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

Jie Yuan;Xiaoyong Li

Year: 2018 | Volume: 6 | Journal Article |

Improved edge detection algorithm for canny operator

Yibo Li;Bailun Liu

2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

Year: 2022 | Conference Paper |

Cited by: Papers (15)

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Canny edge detection algorithm is widely used in many fields.but the problem of noise pollution in the actual working environment, the effect of image edge detection is susceptible to the pepper salt noise, and the results of Canny algorithm detect fault and lost edge details. In order to remove pepper salt noise from the image and extract edge information of the area of interest from the image, a...Show More

Improved edge detection algorithm for canny operator

Yibo Li;Bailun Liu

2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

Year: 2022 | Volume: 10 | Conference Paper |

Age of Information Analysis of Multi-user Mobile Edge Computing Systems

Zhifeng Tang;Zhuo Sun;Nan Yang;Xiangyun Zhou

2021 IEEE Global Communications Conference (GLOBECOM)

Year: 2021 | Conference Paper |

Cited by: Papers (10)

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In this paper, we analyze the age of information (AoI) performance of a multi-user mobile edge computing (MEC) system where a base station (BS) generates and transmits computation-intensive packets to user equipments (UEs). In this MEC system, we consider two computing schemes, namely, the local computing scheme and the edge computing scheme. In the local computing scheme, each packet is transmitt...Show More

Age of Information Analysis of Multi-user Mobile Edge Computing Systems

Zhifeng Tang;Zhuo Sun;Nan Yang;Xiangyun Zhou

2021 IEEE Global Communications Conference (GLOBECOM)

Year: 2021 | Conference Paper |

A novel image edge detection method for workpiece based on improved Extreme learning machine and information measure

Jiaxi Li;Dong Qiu;Keping Liu;Hongtao Yang

2019 Chinese Automation Congress (CAC)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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The edge detection and extraction of workpiece images is one of the important links in industrial automation production process. Image edge detection accuracy of the workpiece of traditional edge detection operator is limited and high sensitivity to noise, aiming at these problems in the detection link, a novel image edge detection method of workpiece based on the improved extreme learning machine...Show More

A novel image edge detection method for workpiece based on improved Extreme learning machine and information measure

Jiaxi Li;Dong Qiu;Keping Liu;Hongtao Yang

2019 Chinese Automation Congress (CAC)

Year: 2019 | Conference Paper |

Color Image Edge Detection Arithmetic Based on Color Space

Fengjing Zhang;Hong Cheng;Wenbang Sun;Yaoyu Zhang;Xiaojuan Wang

2012 International Conference on Computer Science and Electronics Engineering

Year: 2012 | Conference Paper |

Cited by: Papers (4) | Patents (1)

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A method to determine whether a pixel is the edge point of a color image is presented. First, according to the characteristic of RGB color space, a color triangle of a pixel is constructed with its color coordinates RGB, and then the perimeter and the internal angle of the color triangle which can be seen as the information value of a pixel is calculated. Last, comparing the value with that in its...Show More

Color Image Edge Detection Arithmetic Based on Color Space

Fengjing Zhang;Hong Cheng;Wenbang Sun;Yaoyu Zhang;Xiaojuan Wang

2012 International Conference on Computer Science and Electronics Engineering

Year: 2012 | Volume: 2 | Conference Paper |

Occlusion-Aware Segmentation Via RCF-Pix2Pix Generative Network

Congying An;Jingjing Wu;Huanlong Zhang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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Segmentingimage objects overlapped by other objects is challenging, because the shapes in occluded areas are unknown, and occlusion boundaries typically have no distinction from real object contours. Unlike traditional segmentation methods using convolutional networks, we explored the segmentation capabilities of generative networks in occluded areas and proposed a new edge-guided network architec...Show More

Occlusion-Aware Segmentation Via RCF-Pix2Pix Generative Network

Congying An;Jingjing Wu;Huanlong Zhang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Synthetic utilizing differential and filter operator to construct WNN for image edge detection

Mao-Zhi Wang;Sheng Gou;Ke Guo

2009 International Conference on Apperceiving Computing and Intelligence Analysis

Year: 2009 | Conference Paper |

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This paper constructs a Wavelet Neural Network (WNN) for image edge detection based on the fact that image edge detection is essentially a classification problem and WNN has powerful classification and identification capacity. The innovations of this paper include utilizing information of differential and filter operators in constructing the network and integrating the advantages of Canny and LOG ...Show More

Synthetic utilizing differential and filter operator to construct WNN for image edge detection

Mao-Zhi Wang;Sheng Gou;Ke Guo

2009 International Conference on Apperceiving Computing and Intelligence Analysis

Year: 2009 | Conference Paper |

Research on Information Assets Security Management of Electric Power Enterprise Based on Cloud Edge Collaboration Technology

Chunmei Zhang;Xingque Xu;Lijuan Duan;Silin Liu

2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)

Year: 2022 | Conference Paper |

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With the advent of the information age, the high-speed development of the power industry is increasingly dependent on the information network, and the problem of information security is prominent. In view of the threats of information leakage and damage caused by external network attacks and internal mismanagement of power grid companies, based on the study of the characteristics of Electric Power...Show More

Research on Information Assets Security Management of Electric Power Enterprise Based on Cloud Edge Collaboration Technology

Chunmei Zhang;Xingque Xu;Lijuan Duan;Silin Liu

2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)

Year: 2022 | Conference Paper |

Perspective on efficiency enhancements in processing streaming data in industrial IoT networks

Julia Rosenberger;Michael Bühren;Dieter Schramm

2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Both data compression and anomaly detection are very deeply studied areas for the last decades and gain significance for the Internet of Things (IoT), especially industrial IoT (IIoT). Due to the advantages like fewer latency and security aspects, edge computing is often preferred to cloud solutions. While the amount of data as well as the demand for edge data processing increases, resources like ...Show More

Perspective on efficiency enhancements in processing streaming data in industrial IoT networks

Julia Rosenberger;Michael Bühren;Dieter Schramm

2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

Year: 2021 | Conference Paper |

Context Union Edge Network for Semantic Segmentation of Small-Scale Objects in Very High Resolution Remote Sensing Images

Yanwen Chong;Xiaoshu Chen;Shaoming Pan

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

Cited by: Papers (23)

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Semantic segmentation of small-scale objects in very high resolution (VHR) remote sensing images plays an important role in some special tasks, such as change detection and mapping of land cover. However, due to small size, small-scale objects are more likely to be completely obscured by shadows than large-scale objects, which make it difficult for the traditional convolutional neural network (CNN...Show More

Context Union Edge Network for Semantic Segmentation of Small-Scale Objects in Very High Resolution Remote Sensing Images

Yanwen Chong;Xiaoshu Chen;Shaoming Pan

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

Age of Information for Joint Sensing, Transmission and Computation in Mobile Edge Computing

Baozhen An;Mangang Xie;Changhao Song;Yaping Wang;Qianqian Wang

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Year: 2024 | Conference Paper |

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Peak age of information (PAoI) is an important performance metric for mobile edge computing (MEC) systems to characterize the freshness of information. This paper addresses MEC systems with joint sensing, transmission and computation, where sensors sense and transmit computationally intensive packets to local and edge servers. Three computation scenarios are considered: (1) a local computation sce...Show More

Age of Information for Joint Sensing, Transmission and Computation in Mobile Edge Computing

Baozhen An;Mangang Xie;Changhao Song;Yaping Wang;Qianqian Wang

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Year: 2024 | Conference Paper |

An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis

Mamta Mittal;Amit Verma;Iqbaldeep Kaur;Bhavneet Kaur;Meenakshi Sharma;Lalit Mohan Goyal;Sudipta Roy;Tai-Hoon Kim

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (151)

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An edge detection is important for its reliability and security which delivers a better understanding of object recognition in the applications of computer vision, such as pedestrian detection, face detection, and video surveillance. This paper introduced two fundamental limitations encountered in edge detection: edge connectivity and edge thickness, those have been used by various developments in...Show More

An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis

Mamta Mittal;Amit Verma;Iqbaldeep Kaur;Bhavneet Kaur;Meenakshi Sharma;Lalit Mohan Goyal;Sudipta Roy;Tai-Hoon Kim

Year: 2019 | Volume: 7 | Journal Article |

A new method for edge detection in digital images

Chunting Qiu;Jing Wu

2013 Ninth International Conference on Natural Computation (ICNC)

Year: 2013 | Conference Paper |

Cited by: Papers (4)

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Edge detection is a very difficult task. In the paper a new method, referred to as the anisotropic Gaussian kernel, is proposed. The algorithm selects every image pixel's direction derivation for image edge detection. Unlike the existing isotropic-type way that is widely used in image edge detection, the new technique depends on both the anisotropic Gaussian kernel and the image's direction deriva...Show More

A new method for edge detection in digital images

Chunting Qiu;Jing Wu

2013 Ninth International Conference on Natural Computation (ICNC)

Year: 2013 | Conference Paper |

An application of artificial bee colony optimization to image edge detection

Yi Liu;Shengqing Tang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

Cited by: Papers (4)

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Edge detection is an important pretreatment for digital image processing. Artificial bee colony algorithm is an efficient intelligent algorithm which is widely used in different subjects. This paper adopts the artificial bee colony optimization algorithm in searching global optimized points of edge detection, and improves the method of searching for neighbor edge points based on the global optimiz...Show More

An application of artificial bee colony optimization to image edge detection

Yi Liu;Shengqing Tang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

Fisher Information at the Edge of Chaos in Random Boolean Networks

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Artificial Life

Year: 2011 | Volume: 17, Issue: 4 | Journal Article |

Cited by: Papers (2)

We study the order-chaos phase transition in random Boolean networks (RBNs), which have been used as models of gene regulatory networks. In particular we seek to characterize the phase diagram in information-theoretic terms, focusing on the effect of the control parameters (activity level and connectivity). Fisher information, which measures how much system dynamics can reveal about the control pa...Show More

Fisher Information at the Edge of Chaos in Random Boolean Networks

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Artificial Life

Year: 2011 | Volume: 17, Issue: 4 | Journal Article |

Mobile Edge Computing for Rapid deployment Object Detection System

Ming Han Tsai;Jen-Yeu Chen;Wei-Che Chien

2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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In the past, the process of transferring data collected by IoT devices or mobile devices has data leakage, personal privacy, and information security issues since object detection systems have mostly sent data to the cloud for processing and storage. To solve this problem, we implement object recognition and tracking function in JavaScript on the front end, and set up the CRUD operation API in Pyt...Show More

Mobile Edge Computing for Rapid deployment Object Detection System

Ming Han Tsai;Jen-Yeu Chen;Wei-Che Chien

2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA)

Year: 2022 | Conference Paper |

Mean Peak Age of Information Analysis of Energy-Aware Computation Offloading in IIoT Networks

Tan Zheng Hui Ernest;A S Madhukumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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The mean peak age of information (PAoI) of computation offloading in multi-access edge computing (MEC) enabled industrial Internet-of-Things (IIoT) networks is investigated in this paper. Specifically, the mean PAoI and average energy consumption of energy-aware computation offloading (ECO) and cloud-only (CL) computation offloading are derived in closed-form. Numerical and simulation results show...Show More

Mean Peak Age of Information Analysis of Energy-Aware Computation Offloading in IIoT Networks

Tan Zheng Hui Ernest;A S Madhukumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Standardization of edge magnitude in color images

S.K. Naik;C.A. Murthy

IEEE Transactions on Image Processing

Year: 2006 | Volume: 15, Issue: 9 | Journal Article |

Cited by: Papers (33)

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Edge detection is a useful task in low-level image processing. The efficiency of many image processing and computer vision tasks depends on the perfection of detecting meaningful edges. To get a meaningful edge, thresholding is almost inevitable in any edge detection algorithm. Many algorithms reported in the literature adopt ad hoc schemes for this purpose. These algorithms require the threshold ...Show More

Standardization of edge magnitude in color images

S.K. Naik;C.A. Murthy

IEEE Transactions on Image Processing

Year: 2006 | Volume: 15, Issue: 9 | Journal Article |

Multi-stage Information Processing Systems with VM Migration for Maximum Accuracy

Tutomu Murase;Yukinobu Fukushima;Celimuge Wu;Yusheng Ji

2024 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2024 | Conference Paper |

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This paper outlines a Multi-stage Information Processing system and a VM migration method to improve the performance of the system. To process applications that require responsiveness and accuracy at the same time, such as sensor data processing in automated driving, a Multi-stage Information Processing system has been proposed in which the edge computer and the data center computer process inform...Show More

Multi-stage Information Processing Systems with VM Migration for Maximum Accuracy

Tutomu Murase;Yukinobu Fukushima;Celimuge Wu;Yusheng Ji

2024 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2024 | Conference Paper |

Quality Assessment Measures for Explainable Fusion Of Statistical Evidences of Edges in Polsar Images: A First Approach

Rosa Janeth Alpala;Anderson A. de Borba;Alejandro C. Frery

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

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This work aims to develop techniques for the fusion of statistical evidences obtained from the application of Statistical Information Theory (SIT) and Statistical Information Geometry (SIG) in image processing and analysis, with a specific focus on Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The goal is to generate a single solution superior to individual solutions. Furthermore, proper...Show More

Quality Assessment Measures for Explainable Fusion Of Statistical Evidences of Edges in Polsar Images: A First Approach

Rosa Janeth Alpala;Anderson A. de Borba;Alejandro C. Frery

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Year: 2023 | Conference Paper |

Detection Technology of Traffic Marking Edge

Tingze Zhang;Huan Gao

2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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In recent years, the Intelligent Transportation System (ITS) has attracted growing attention from experts and scholars. Edge-based traffic sign image segmentation is a key technology in the field of traffic sign recognition. Therefore, traffic sign edge detection technology is of vital importance. Edge detection is an image processing technology, which can quickly and accurately extract image edge...Show More

Detection Technology of Traffic Marking Edge

Tingze Zhang;Huan Gao

2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT

Year: 2020 | Conference Paper |

Research of Caching Methods in Mobile Edge Networks

Yue Sun;Wei Chen;Yin Yuan

2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)

Year: 2021 | Conference Paper |

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With the rapid development of network technology, the number of devices connected to edge network terminals is increasing rapidly, which makes the network space face the challenges such as too much cache content, high computing pressure, Therefore, this paper analyzes the cache problem in mobile edge networks, and introduces several cache methods optimized on the traditional cache strategy.Show More

Research of Caching Methods in Mobile Edge Networks

Yue Sun;Wei Chen;Yin Yuan

2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)

Year: 2021 | Conference Paper |

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