2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)最新文献_第6页

An Improved Method for Red Segmentation Based Traffic Sign Detection 基于红色分割的交通标志检测改进方法

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673847

Manal El Baz, T. Zaki, H. Douzi

{"title":"An Improved Method for Red Segmentation Based Traffic Sign Detection","authors":"Manal El Baz, T. Zaki, H. Douzi","doi":"10.1109/icicn52636.2021.9673847","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673847","url":null,"abstract":"The red color segmentation is widely used in image processing especially for traffic sign detection. The color segmentation under variety of light and weather conditions is a challenging task. These conditions make modifications on traffic sign colors. In this paper, we aim to improve the precision of a state-of-the-art method in RGB and HSV spaces. Although the efficiency of this state-of-the-art method, the red segmentation in RGB space has some false positive detections especially at night, and the red segmentation in HSV space detects the black pixels with red pixels as a region of interest. In order to improve the precision of this method, we propose in this paper to combine the two segmentations. We also propose changing the threshold of the red segmentation in HSV to remove non-red pixels and to extract red pixels with low saturation. In addition, we make some modifications on the threshold of the red segmentation in RGB space to improve its performance. The results obtained in experiments show that our method detects more accurately red color of traffic signs under variety of light and weather conditions compared to the state-of-the-art method.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128254437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Diverse Implementations of the Lorenz System for Teaching Non-Linear Chaotic Circuits 非线性混沌电路教学中Lorenz系统的多种实现

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674018

Maria S. Papadopoulou, V. Rusyn, A. Boursianis, P. Sarigiannidis, Konstantinos E. Psannis, S. Goudos

引用次数: 0

Microwave Photonics System with 16QAM-OFDM Based on Direct Modulation and Subcarrier Multiplexing 基于直接调制和子载波复用的16QAM-OFDM微波光子系统

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673923

Liu Zhen, Xin Shukai, Huang Xuguang, Liao Jianqing, Liang Guang

{"title":"Microwave Photonics System with 16QAM-OFDM Based on Direct Modulation and Subcarrier Multiplexing","authors":"Liu Zhen, Xin Shukai, Huang Xuguang, Liao Jianqing, Liang Guang","doi":"10.1109/icicn52636.2021.9673923","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673923","url":null,"abstract":"In view of the high cost of millimeter wave generated by the existing radio over fiber system, and the urgent need for high capacity and high bandwidth of mobile communication technology in the future, this paper proposes a microwave photonics system with 16quadrature amplitude modulation-orthogonal frequency division multiplexing (16QAM-OFDM) based on direct modulation and subcarrier multiplexing. The system adopts direct modulation technology combined with multiple subcarriers multiplexing, which includes 5G low frequency and millimeter-wave band. By transmitting multiple signals at the same time, the capacity of communication is expanded. In addition, OFDM is combined to further improve the spectral efficiency. Through simulation analysis, the results show that when the optical fiber transmission distance is 50km, the bit error rate (BER) of uplink and downlink is lower than $3.8 times 10^{-3}$. The constellation is clear and the error vector magnitude (EVM) value meets the standard that no more than 20% specified by the standard performance evaluation organization. The system provides a reference for ROF system that can be compatible with the two application scenarios of seamless wide-area coverage and high-capacity hot-spot.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122278633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Relay Selection with Predicted Link States for Relay-Assisted Free Space Optical Network 基于链路状态预测的中继辅助自由空间光网络中继智能选择

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673855

Tianming Xu, Song Song, Yahe Yang, Shuyu Xiao, Yejun Liu, Lei Guo

引用次数: 1

Design and Optimization of Ku-band Large-Loop-Spiral Towed Antenna for the Unmanned Underwater Vehicle 无人潜航器ku波段大环螺旋拖曳天线设计与优化

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674023

Feng Shimin, Fu Tianhui, Yang Yongkang, Xiu Menglei, Wang Longfei, Wang Shiyu

引用次数: 0

A Method of Soft-Sensing Log-Likelihood Ratios Based on Broad Learning System for NAND Flash Memories 基于广义学习系统的NAND闪存软测量对数似然比方法

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673965

Kainan Ma, Tao Li, Yibo Yin, Sitao Zhang, Ming Liu

引用次数: 0

Graphene-Photonic Crystal Fiber Biodetection Based on Surface Plasma Resonance Effect and Defect Coupling 基于表面等离子体共振效应和缺陷耦合的石墨烯-光子晶体光纤生物检测

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673840

Mengyin Liu, Ziyang Mei, Gongli Xiao, Hongyan Yang

引用次数: 0

Comparative Analysis of Software Performance on Web based Application 基于Web的应用软件性能比较分析

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673934

Sana Mazhar, Shawwal Rashed, Saleem Zubair

引用次数: 0

Measurement of Tilted Fiber Bragg Grating Sensors with Femtometer Resolution Using Dual-Wavelength Differential Detection 基于双波长差分检测的飞米分辨率倾斜光纤光栅传感器测量

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673897

F. Ouellette, Jin Huang, Shucheng Liu, Jianfeng Li

引用次数: 0

Entities and Relations Aware Graph Convolutional Network for Knowledge Base Completion 面向实体和关系的知识库补全图卷积网络

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673867

Kun Yang, Haipeng Gao, Y. Yang, Ke Qin

{"title":"Entities and Relations Aware Graph Convolutional Network for Knowledge Base Completion","authors":"Kun Yang, Haipeng Gao, Y. Yang, Ke Qin","doi":"10.1109/icicn52636.2021.9673867","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673867","url":null,"abstract":"Graph Neural Networks (GNNs) have recently been shown to be quite effective in modeling graph-structured data. Recent methods such as RGCN and SACN, have achieved the most advanced results in knowledge graph completion. However, previous efforts are mostly restricted to aggregating information given by neighboring nodes only, ignoring the information given by neighboring edges. This paper proposes a novel Entities and Relations Aware Graph Convolutional Network (ERA-GCN), with an encoder-decoder framework which jointly embeds both entities and relations in a multi-relation graph. In the encoder end, ERA-GCN uses a weighted graph convolutional network to capture both graph structure and neighborhood information. In the decoder end, we utilize Conv-TransE to retain the translational property between entity and relation embedding, leading to better link prediction performance. We evaluate our proposed method on standard FB15k-237 and WNISRR datasets, and achieve about 11% relative improvement compared to current state-of-the-art ConvE in terms of HITS@l, HITS@3 and HITS@10.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121703050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0