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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 152-165 doi: 10.1631/FITEE.1400139

Abstract: Efficient and precise localization is a prerequisite for the intelligent navigation of mobile robots. Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization and mapping (SLAM), suffer from two shortcomings: a drift problem caused by accumulated localization error, and erroneous motion estimation due to illumination variation and moving objects. In this paper, we propose an enhanced VO by introducing a panoramic camera into the traditional stereo-only VO system. Benefiting from the 360° field of view, the panoramic camera is responsible for three tasks: (1) detecting road junctions and building a landmark library online; (2) correcting the robot’s position when the landmarks are revisited with any orientation; (3) working as a panoramic compass when the stereo VO cannot provide reliable positioning results. To use the large-sized panoramic images efficiently, the concept of compressed sensing is introduced into the solution and an adaptive compressive feature is presented. Combined with our previous two-stage local binocular bundle adjustment (TLBBA) stereo VO, the new system can obtain reliable positioning results in quasi-real time. Experimental results of challenging long-range tests show that our enhanced VO is much more accurate and robust than the traditional VO, thanks to the compressive panoramic landmarks built online.

Keywords： Visual odometry     Panoramic landmark     Landmark matching     Compressed sensing     Adaptive compressive feature    

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Detecting slowlymoving infrared targets using temporal filtering and association strategy Article

Jing-li GAO,Cheng-lin WEN,Zhe-jing BAO,Mei-qin LIU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1176-1185 doi: 10.1631/FITEE.1601203

Abstract: Then a graph matching model is presented to associate the targets obtained at different times.

Keywords： Temporal target detection     Slowly moving targets     Graph matching     Target association    

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Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ‘final’ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

Keywords： Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

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A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 28-35

Abstract:

Reasonable rock-explosive matching is of great important to the enhancingThe traditionally emphasized method of acoustic impedance matching is not reasonable.Starting from the blasting breakage mechanism, a new method of rock-explosive matching in drilling and

Keywords： drilling and blasting     crushed zone     rock-explosive matching     acoustic impedance matching    

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Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads     Graph applications     Graph processing systems    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching, which improves the speed and qualityFirst, the authors proposed a method of reducing the computing time for the schema matching of bridgeThe computing speed of schema matching was increased by 13 to 1800 times by reducing the checking processSecond, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision    

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A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 56-60

Abstract: most part of an image, processing of regions that contain specular reflections can result in severe matchingIn this paper, we address the problem of binocular stereo dense matching in the presence of specular

Keywords： stereo matching     diffuse reflection     specular reflection     chromaticity    

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000047

Abstract: real time, we demonstrate an innovative algorithm to avoid catastrophic expansion of feature point matchingBased on the hash and principal component analysis, the matching time complexity of this algorithm can
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Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 429-448 doi: 10.1631/FITEE.1500118

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graphsurvey of existing literature in distributed multi-agent coordination and a new perspective in terms of graphFor different types of graph Laplacians, we summarize their inherent coordination features and specific

Keywords： Multi-agent systems     Distributed coordination     Graph Laplacian    

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Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Strategic Study of CAE 2014, Volume 16, Issue 6,   Pages 65-69

Abstract: The result showed that the matching with resolution decreasing could simulate the real instrument observation

Keywords： scanning microwave radiometer     HY-2     resolution matching     Backus-Gilbert algorithm    

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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis

Keywords： disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze

Keywords： Protein-protein interaction network     Essential protein modules     Overlap     Overlap maximum matching ratio    

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A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Engineering 2018, Volume 4, Issue 1,   Pages 53-60 doi: 10.1016/j.eng.2018.01.004

Abstract: At present, it is very significant that certain scholars have combined the concept of the knowledge graph

Keywords： Cybersecurity     Knowledge graph     Knowledge deduction    

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Title Author Date Type Operation

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Journal Article

Detecting slowlymoving infrared targets using temporal filtering and association strategy

Jing-li GAO,Cheng-lin WEN,Zhe-jing BAO,Mei-qin LIU

Journal Article

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Journal Article

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Journal Article

Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Journal Article

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article