In order to solve the problem that the mechanized transplanting of potted seedlings in greenhouse can not realize automation and abandon unqualified potted seedlings, and improve the economic benefits of greenhouse, In this paper, a classification method of glug seedlings based on time series image is proposed, and the seedling stages of plug seedlings are experimentally analyzed. The experimental results show that, compared with the classification method of plug seedlings based on pixel area, the classification method of plug seedlings based on time series can obtain the growth information of plug seedlings in the whole growth stage, and classify plug seedlings quickly and accurately according to the growth situation of plug seedlings. The accuracy of the method based on time series is about 5% higher than that based on pixel area, which can provide a technical basis for automatic screening and transplanting of plug seedlings in agricultural automatic production.
{"title":"Time series based method for classification of plug seedlings","authors":"Jing Zeng, Gang Xu, Yunkuan Xu, Yue Cui, Yougang Zhao, Jiangjan Xiao","doi":"10.1109/ISPDS56360.2022.9874156","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874156","url":null,"abstract":"In order to solve the problem that the mechanized transplanting of potted seedlings in greenhouse can not realize automation and abandon unqualified potted seedlings, and improve the economic benefits of greenhouse, In this paper, a classification method of glug seedlings based on time series image is proposed, and the seedling stages of plug seedlings are experimentally analyzed. The experimental results show that, compared with the classification method of plug seedlings based on pixel area, the classification method of plug seedlings based on time series can obtain the growth information of plug seedlings in the whole growth stage, and classify plug seedlings quickly and accurately according to the growth situation of plug seedlings. The accuracy of the method based on time series is about 5% higher than that based on pixel area, which can provide a technical basis for automatic screening and transplanting of plug seedlings in agricultural automatic production.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115418452","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874019
Liangming Huang, Jun Jiang, Xiuwu Gao
The huge gap between the speed of processors and their memory has become one major bottleneck in modern computer systems. In order to achieve higher performance, sophisticated techniques are increasingly needed to improve the data locality of the programs. In this paper, the structure peeling optimization based on LTO is implemented in the GCC compiler for that purpose. The structure types suitable for peeling are selected through adequate escape analysis and then split into multiple pieces, each containing one field corresponding to that in the original structure. This optimization is placed in the stage after whole program analysis of LTO so that can handle functions' parameters and global variables which cannot be handled from a local perspective. The experimental result shows that by adopting our optimization the geometric mean performance acceleration ratio of five SPEC CPU benchmarks can be achieved by 1.23, with individual benchmark performance increasing by up to 59.29%.
{"title":"Structure Peeling Based on Link Time Optimization in the GCC compiler","authors":"Liangming Huang, Jun Jiang, Xiuwu Gao","doi":"10.1109/ISPDS56360.2022.9874019","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874019","url":null,"abstract":"The huge gap between the speed of processors and their memory has become one major bottleneck in modern computer systems. In order to achieve higher performance, sophisticated techniques are increasingly needed to improve the data locality of the programs. In this paper, the structure peeling optimization based on LTO is implemented in the GCC compiler for that purpose. The structure types suitable for peeling are selected through adequate escape analysis and then split into multiple pieces, each containing one field corresponding to that in the original structure. This optimization is placed in the stage after whole program analysis of LTO so that can handle functions' parameters and global variables which cannot be handled from a local perspective. The experimental result shows that by adopting our optimization the geometric mean performance acceleration ratio of five SPEC CPU benchmarks can be achieved by 1.23, with individual benchmark performance increasing by up to 59.29%.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724922","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874180
Ning Nie, Yuanyuan Zhou, Jiangping Zhou
Focusing on the application scenario where the underwater mobile platforms wirelessly access the cabled underwater information networks to achieve communication, an underwater access scheme for measurement-device-independent quantum key distribution is proposed to ensure communication security. Based on the analysis of the optical characteristics of the seawater channel, an underwater access model of measurement-device-independent quantum key distribution is constructed, simulated and analyzed to verify the feasibility and effectiveness of the scheme. The simulation results show that the maximum secure access distance of the scheme (under extreme conditions) can be extended from 147 meters to 230 meters or even 451 meters as the seawater type changes from turbid seawater to moderately turbid seawater to clear seawater. The vacuum + weak decoy state scheme can obtain performance that is very close to this limit. After considering the effect of finite data-set size, the performance of the scheme is reduced, but it can still meet the application requirements of underwater mobile platform access within a certain range. In practical applications, measures such as deploying wired communication buoys at network nodes can be used to further expand the effective access range.
{"title":"Research on Underwater Measurement-Device-Independent Quantum Key Distribution","authors":"Ning Nie, Yuanyuan Zhou, Jiangping Zhou","doi":"10.1109/ISPDS56360.2022.9874180","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874180","url":null,"abstract":"Focusing on the application scenario where the underwater mobile platforms wirelessly access the cabled underwater information networks to achieve communication, an underwater access scheme for measurement-device-independent quantum key distribution is proposed to ensure communication security. Based on the analysis of the optical characteristics of the seawater channel, an underwater access model of measurement-device-independent quantum key distribution is constructed, simulated and analyzed to verify the feasibility and effectiveness of the scheme. The simulation results show that the maximum secure access distance of the scheme (under extreme conditions) can be extended from 147 meters to 230 meters or even 451 meters as the seawater type changes from turbid seawater to moderately turbid seawater to clear seawater. The vacuum + weak decoy state scheme can obtain performance that is very close to this limit. After considering the effect of finite data-set size, the performance of the scheme is reduced, but it can still meet the application requirements of underwater mobile platform access within a certain range. In practical applications, measures such as deploying wired communication buoys at network nodes can be used to further expand the effective access range.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126745645","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874214
Xiao-Fang Li, Yuanxun Fan, Luhui Xu
For a linear steering gear electric linear load simulation system (ELLS), a sliding mode variable structure control strategy based on linear matrix inequality (LMI) design is proposed. First of all, aiming at the problem of redundant force interference in the actual dynamic loading process of the system, on the basis of establishing the state space equation of the ELLS, the LMI sliding mode variable structure controller is designed, which can be compensated only by the calculation of LMI. Secondly, in order to solve the problem of high frequency noise caused by the differential of the traditional sliding mode to the measured output value, the sliding mode controller (SMC) designed based on LMI can control the system accurately only by measuring the output value of the system, and the convergence of the designed controller is proved by Lyapunov function. Finally, a Simulink simulation model is built to verify the accurate control of the system by the SMC based on LMI.
{"title":"LMI Design of Sliding Mode Robust Control for Electric Linear Load Simulator","authors":"Xiao-Fang Li, Yuanxun Fan, Luhui Xu","doi":"10.1109/ISPDS56360.2022.9874214","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874214","url":null,"abstract":"For a linear steering gear electric linear load simulation system (ELLS), a sliding mode variable structure control strategy based on linear matrix inequality (LMI) design is proposed. First of all, aiming at the problem of redundant force interference in the actual dynamic loading process of the system, on the basis of establishing the state space equation of the ELLS, the LMI sliding mode variable structure controller is designed, which can be compensated only by the calculation of LMI. Secondly, in order to solve the problem of high frequency noise caused by the differential of the traditional sliding mode to the measured output value, the sliding mode controller (SMC) designed based on LMI can control the system accurately only by measuring the output value of the system, and the convergence of the designed controller is proved by Lyapunov function. Finally, a Simulink simulation model is built to verify the accurate control of the system by the SMC based on LMI.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126198462","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874004
Enjing Zhang, Jiandong Fang, Yudong Zhao
This Compared with the single-dimensional ecologi-cal footprint evaluation, the three-dimensional ecological footprint evaluation of grass and livestock has the characteristics of categor-ical characterization of natural resource flow occupation and stock consumption status of grass and livestock, and at the same time can reflect the relationship between natural resources and sustain-able development more accurately. In this paper takes the grass-livestock balance relationship as the entry point, based on the eco-logical footprint and ecological carrying capacity, and uses the 3D ecological footprint improvement model to calculate the depth of grass-livestock footprint, the breadth of grass-livestock footprint and the 3D ecological footprint of grass-livestock in the agricul-tural and pastoral areas of each league and city in Inner Mongolia from 2018 to 2020, and then decodes the causes of formation. The results of the simulation experiment show that: at the social level, the more rural population, the larger the grass-livestock ecological footprint; at the economic level, industry accounts for a large pro-portion, there is industrial competition for food, and the grass-live-stock ecological footprint is small; at the natural level, the annual rainfall is more, and the corresponding grass-livestock ecological footprint is small.
{"title":"Improvement and application of a three-dimensional ecological footprint evaluation model for grass and livestock","authors":"Enjing Zhang, Jiandong Fang, Yudong Zhao","doi":"10.1109/ISPDS56360.2022.9874004","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874004","url":null,"abstract":"This Compared with the single-dimensional ecologi-cal footprint evaluation, the three-dimensional ecological footprint evaluation of grass and livestock has the characteristics of categor-ical characterization of natural resource flow occupation and stock consumption status of grass and livestock, and at the same time can reflect the relationship between natural resources and sustain-able development more accurately. In this paper takes the grass-livestock balance relationship as the entry point, based on the eco-logical footprint and ecological carrying capacity, and uses the 3D ecological footprint improvement model to calculate the depth of grass-livestock footprint, the breadth of grass-livestock footprint and the 3D ecological footprint of grass-livestock in the agricul-tural and pastoral areas of each league and city in Inner Mongolia from 2018 to 2020, and then decodes the causes of formation. The results of the simulation experiment show that: at the social level, the more rural population, the larger the grass-livestock ecological footprint; at the economic level, industry accounts for a large pro-portion, there is industrial competition for food, and the grass-live-stock ecological footprint is small; at the natural level, the annual rainfall is more, and the corresponding grass-livestock ecological footprint is small.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126028644","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874196
Song Zhou, Yueling Zhao, Dong Guo
Vehicle detection is an important technology in au-tonomous driving, for which high detection accuracy and real-time performance are often required. The YOLOv5-GE vehicle detection algorithm is proposed to address the situation that the YOLOv5 vehicle detection model has false detection and missed detection for small and dense targets in complex environments. The global attention mechanism is added to the backbone net-work of the YOLOOv5 model, which is composed of two inde-pendent submodules of channel attention and convolutional spa-tial attention, which prevents the loss of information to a certain extent and amplifies the interaction of global dimensions. Second-ly, the training process is optimized using the Focal-EloU loss function to replace the GloU loss function, which improves the accuracy of vehicle detection. Finally, the proposed YOLOv5-GE algorithm and the YOLOv5 algorithm are subjected to a con-trolled experiment on the KITTI dataset. The experimental re-sults show that the YOLOv5-GE algorithm achieves an average accuracy of 86% while maintaining real-time performance, which is 2.5% higher than that of the YOLOv5 algorithm, and can im-prove the detection accuracy of small and dense targets in com-plex environments.
{"title":"YOLOv5-GE Vehicle Detection Algorithm Integrating Global Attention Mechanism","authors":"Song Zhou, Yueling Zhao, Dong Guo","doi":"10.1109/ISPDS56360.2022.9874196","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874196","url":null,"abstract":"Vehicle detection is an important technology in au-tonomous driving, for which high detection accuracy and real-time performance are often required. The YOLOv5-GE vehicle detection algorithm is proposed to address the situation that the YOLOv5 vehicle detection model has false detection and missed detection for small and dense targets in complex environments. The global attention mechanism is added to the backbone net-work of the YOLOOv5 model, which is composed of two inde-pendent submodules of channel attention and convolutional spa-tial attention, which prevents the loss of information to a certain extent and amplifies the interaction of global dimensions. Second-ly, the training process is optimized using the Focal-EloU loss function to replace the GloU loss function, which improves the accuracy of vehicle detection. Finally, the proposed YOLOv5-GE algorithm and the YOLOv5 algorithm are subjected to a con-trolled experiment on the KITTI dataset. The experimental re-sults show that the YOLOv5-GE algorithm achieves an average accuracy of 86% while maintaining real-time performance, which is 2.5% higher than that of the YOLOv5 algorithm, and can im-prove the detection accuracy of small and dense targets in com-plex environments.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130193778","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}
In the clustering process, the eigenvalues in the data set have mixed type attributes such as numerical and text, and the measurement methods are inconsistent. In this paper, the distance between samples is easily affected by the eigenvalues of a certain dimension. This includes affecting clustering performance and the inability of continuous algorithms to deal with discrete data. These two problems focus on two points in the algorithm of this paper. First, each characteristic attribute of the dataset is analyzed. The type and number of ranges for each attribute is counted. Attributes that are not affected by the clustering algorithm are deleted. Secondly, the text feature attributes with more than 2 range are extended to multiple new feature attributes. Each attribute has only two value fields, replaced by 0 or 1 respectively. This approach makes all textual and numeric attributes use a uniform metric. This method was used to preprocess the mushroom dataset. This keeps the values in the dataset in the same range. Clustering algorithm is used to classify it. In the experiment, the classification accuracy of k-means++ algorithm is improved from 70.9% to 89.2% compared with LabelEncoder method. It also applies to more algorithms. This proves that our method works.
{"title":"Research on a text data preprocessing method suitable for clustering algorithm","authors":"Chunlin Wang, Neng Yang, Wanjin Xu, Junjie Wang, Jianyong Sun, Xiaolin Chen","doi":"10.1109/ISPDS56360.2022.9874172","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874172","url":null,"abstract":"In the clustering process, the eigenvalues in the data set have mixed type attributes such as numerical and text, and the measurement methods are inconsistent. In this paper, the distance between samples is easily affected by the eigenvalues of a certain dimension. This includes affecting clustering performance and the inability of continuous algorithms to deal with discrete data. These two problems focus on two points in the algorithm of this paper. First, each characteristic attribute of the dataset is analyzed. The type and number of ranges for each attribute is counted. Attributes that are not affected by the clustering algorithm are deleted. Secondly, the text feature attributes with more than 2 range are extended to multiple new feature attributes. Each attribute has only two value fields, replaced by 0 or 1 respectively. This approach makes all textual and numeric attributes use a uniform metric. This method was used to preprocess the mushroom dataset. This keeps the values in the dataset in the same range. Clustering algorithm is used to classify it. In the experiment, the classification accuracy of k-means++ algorithm is improved from 70.9% to 89.2% compared with LabelEncoder method. It also applies to more algorithms. This proves that our method works.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133122074","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874070
Jiale Wang, W. Zhuang, Di Shang
In scenes with low lighting at night, the outline of objects that need to be recognized, such as vehicles, is not clear, and cannot be accurately recognized by the automatic driving system. At present, there are many researches on instance segmentation models, but there are few researches on the instance segmentation application of automatic driving night scenes. According to BDD100K dataset, the automatic driving daytime scene dataset is marked. First, we perform data augmentation by using gamma correction to simulate the night driving scene in the training phase. Then we use our improved low-light enhancement algorithm with gradient increment based on RetinexNet in the prediction phase to brighten night driving scene images. Furthermore, we evaluated our proposed method on YOLACT++ model. The results show that the improved YOLACT++ automatic driving night segmentation ability has been significantly improved, the segmentation of vehicles at night is more accurate and robust, and it has better application value in night automatic driving scenarios.
{"title":"Light Enhancement Algorithm Optimization for Autonomous Driving Vision in Night Scenes based on YOLACT++","authors":"Jiale Wang, W. Zhuang, Di Shang","doi":"10.1109/ISPDS56360.2022.9874070","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874070","url":null,"abstract":"In scenes with low lighting at night, the outline of objects that need to be recognized, such as vehicles, is not clear, and cannot be accurately recognized by the automatic driving system. At present, there are many researches on instance segmentation models, but there are few researches on the instance segmentation application of automatic driving night scenes. According to BDD100K dataset, the automatic driving daytime scene dataset is marked. First, we perform data augmentation by using gamma correction to simulate the night driving scene in the training phase. Then we use our improved low-light enhancement algorithm with gradient increment based on RetinexNet in the prediction phase to brighten night driving scene images. Furthermore, we evaluated our proposed method on YOLACT++ model. The results show that the improved YOLACT++ automatic driving night segmentation ability has been significantly improved, the segmentation of vehicles at night is more accurate and robust, and it has better application value in night automatic driving scenarios.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571651","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874121
Guohua Gao, Shuangyou Wang, Ciyin Shuai
In order to recognize and detect tomatoes for providing accurate location information for tomato picking robot under the complex environment of facility greenhouse, the recognition and detection method based on YOLOV5 was adopted in this paper. The data enhancement method was used to improve the generalization ability of network model. The binocular camera was also used to collect images to match and calculate the central pixel of the detected tomatoes, according to the binocular ranging principle. At the same time, the parallax value of the detected tomatoes was compared with the real value in different environments. It is proved that the mAP of YOLOV5 method is 96%, the absolute value of stereo matching error is less than 3 pixels, and the matching time of single image is less than 10ms, which effectively improves the accuracy and efficiency of picking robot.
{"title":"Study on Recognition and Location Technology of Tomato in Facility Agriculture","authors":"Guohua Gao, Shuangyou Wang, Ciyin Shuai","doi":"10.1109/ISPDS56360.2022.9874121","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874121","url":null,"abstract":"In order to recognize and detect tomatoes for providing accurate location information for tomato picking robot under the complex environment of facility greenhouse, the recognition and detection method based on YOLOV5 was adopted in this paper. The data enhancement method was used to improve the generalization ability of network model. The binocular camera was also used to collect images to match and calculate the central pixel of the detected tomatoes, according to the binocular ranging principle. At the same time, the parallax value of the detected tomatoes was compared with the real value in different environments. It is proved that the mAP of YOLOV5 method is 96%, the absolute value of stereo matching error is less than 3 pixels, and the matching time of single image is less than 10ms, which effectively improves the accuracy and efficiency of picking robot.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132902997","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}
With the application of digitization and informatization in China's industry, the informatization level in highway engineering construction has gradually improved. This paper establishes a comprehensive assessment and evaluation framework based on a typical project management platform. Through business data analysis, real-time assessment and evaluation of the project progress, project quality and project safety are realized. The successful application of the evaluation framework has effectively improved the quality and efficiency of highway construction management.
{"title":"An Assessment and Evaluation Framework for Highway Construction Management based on Data Analysis of the Project Management Platform","authors":"Shuangke Gou, Xinyi Zhao, Zhaohui Tang, Zefei Wang, Zhiheng Yin, Kaibing He","doi":"10.1109/ISPDS56360.2022.9874060","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874060","url":null,"abstract":"With the application of digitization and informatization in China's industry, the informatization level in highway engineering construction has gradually improved. This paper establishes a comprehensive assessment and evaluation framework based on a typical project management platform. Through business data analysis, real-time assessment and evaluation of the project progress, project quality and project safety are realized. The successful application of the evaluation framework has effectively improved the quality and efficiency of highway construction management.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133720598","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}
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