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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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A novel convolutional neural network method for crowd counting Research Articles

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900282

Abstract: To address this problem, we propose a new method called the segmentation-aware prior network (SAPNet), which generates a high-quality density map without noise based on a coarse head-segmentation map.Then, based on the ground truth, FS-CNN outputs a coarse head-segmentation map, which helps eliminateBy inputting the head-segmentation map generated by the front end, CR-CNN performs accurate estimationand generates a high-quality density map.

Keywords： Crowd counting     Density estimation     Segmentation prior map     Uniform function    

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Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: However, most of the vessel segmentation techniques ignore the existence of the isolated and redundantpoints in the segmentation results.In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords： Vesselness filter     Neighborhood     Blood-vessel segmentation     Outlier    

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The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 505-517 doi: 10.1007/s11705-020-2013-y

Abstract: Working temperature, sensitivity, and selectivity are some of the characteristics of the applied gas sensors. How to design and fabricate an ideal gas sensor working at room temperature is still challenging and attracting lots of interest. Two-dimensional (2D) materials with ultra-thin structure have been demonstrated as a family of ideal candidates to achieve this goal. Among them, Ti C T MXene, a kind of layered sheet synthesized by selectively etching MAX phases materials, shows remarkable potential to be the sensitive materials solely or in a composite. However, their designing rules are still lacking critical thinking from the viewpoint of the intrinsic property of Ti C T MXene based materials. In this article, two critical features, i.e., the thickness of the sensitive materials, and the scope of the analytes, are elaborated towards Ti C T MXene based gas sensors after characterizing the performance of sensing reducing gases (NH and CO) and oxidizing gas (NO ). First, the thinner the Ti C T MXene sensitive layer, the better the sensitivity. Second, the Ti C T MXene based gas sensor is not suitable for strong and moderate oxidation gas due to its ease of oxidation. These two rules are demonstrated, and could be considered with priority both in the future researches and practical applications.

Keywords： MXene based sensor     prior     reducing gases     oxidizing gases    

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Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 562-575 doi: 10.1007/s11684-022-0977-3

Abstract: pathophysiological features of Omicron BA.2.2 sublineages and demonstrates significant protection conferred by prior

Keywords： SARS-CoV-2     COVID-19     host response     bronchoalveolar lavage fluid (BALF)    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends themDevelopment of the MISR model of hydrocracking unit also benefits from the utilization of prior knowledgepredicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedfusion module that extracts crack features across pixels is designed to improve the edges of crack segmentationFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing networkThe LC-DeepLab can achieve a real-time segmentation of 416 × 416 × 3 defect images with 46.98 f/s and

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 4,   Pages 321-329 doi: 10.15302/J-FASE-2016124

Abstract: A total of 29952 clones were fingerprinted and resulted in a cassava physical map composed of 2485 contigsThis BAC-based physical map provides valuable tools to understand the genetics and evolution of cassava

Keywords： cassava     BAC library     physical map    

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Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of CAE 2019, Volume 21, Issue 3,   Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004

Abstract: style="text-align: justify;">As a key infrastructure to realize autonomous driving, autonomous driving mapCurrently, constrained by laws and regulations related to ground mapping, map application, and supervisiongeographic information expression, qualifications for geographic information collection and the process for mapreview, accident liability and insurance issues, as well as autonomous driving map related test specificationsdevelopment and commercialization of autonomous driving vehicles in China: formulating an autonomous driving map

Keywords： autonomous driving map     autonomous driving regulation     autonomous driving policy    

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Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Strategic Study of CAE 2000, Volume 2, Issue 4,   Pages 43-47

Abstract:

To meet the urgent needs of updating 1：10 000 scale and 1 ：50 000 scale topographic map for the wholeof China, an integrated techinique for key elements revision is proposed, in which the topographic mapraster mode through overlaying the precisely geo-rectified aerial or satellite image on the digitized mapThe following issues are specially presented： 1) The scanning resolution of topographic map digitization

Keywords： surveying and mapping     remote sensing     map updating     digital raster graphic (DRG)    

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Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 892-900 doi: 10.1007/s11783-012-0440-9

Abstract: experiments were carried out to determine the optimal conditions enhancing the magnesium ammonium phosphate (MAPThe residues of MAP sediments decomposed by heating under alkaline conditions can be reused as the sourceshigh concentrations of , and up to 90% of ammonium could be released under molar ratio of n[OH]∶n[MAP

Keywords： magnesium ammonium phosphate precipitation     mature landfill leachate     optimization     ammonium-nitrogen    

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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Optimization of fuel supply map during starting process of electronic controlled diesel engine

LIANG Jinguang, YU Xiumin, GAO Yue, WANG Yunkai, YU Hongyang, Gong Baoli

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 410-415 doi: 10.1007/s11708-008-0080-8

Abstract: Tests were conducted to study influence of fuel supply map during the starting process of an electronicThe calibration process of starting fuel supply map was educed under the principle of low HC emissionThe calibration methods of starting fuel supply map were obtained.

Keywords： supply     management     CA498Z     process     controlled distributor    

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

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: this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentationthan Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation

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

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Title Author Date Type Operation

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

A novel convolutional neural network method for crowd counting

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Journal Article

Vascular segmentation of neuroimages based on a prior shape and local statistics

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Journal Article

The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Journal Article

Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Journal Article

Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Optimization of fuel supply map during starting process of electronic controlled diesel engine

LIANG Jinguang, YU Xiumin, GAO Yue, WANG Yunkai, YU Hongyang, Gong Baoli

Journal Article

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

Wenxuan CAO; Junjie LI

Journal Article