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Extraction of Behavioral Features Based on Customers' Point Use History

Extraction of Behavioral Features Based on Customers' Point ...

2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Kenji TANAKA Kumada SHU Shen-ming GU Jing ZHANG Department of Systems Innovation The University of Tokyo Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province Zhejiang Ocean University

To analyze features of customers' point use behavior, we define and classify a unit based on five feature values to extract the behavioral features. Our results will contribute to the construction of a customer-sp... 详细信息

关键词： ID-POS data Point Unit

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Calculating Total Delivery Times from Service Time Distribution

Calculating Total Delivery Times from Service Time Distribut...

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2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Kenji TANAKA Kenji ARAOKA Shen-ming GU Jing ZHANG Department of Systems Innovation The University of Tokyo Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province Zhejiang Ocean University

This study aims to improve the efficiency of last-mile delivery by quantifying service time and estimating delivery time based on service time distribution. We present a method to increase delivery efficiency.

关键词： Delivery time Service time Cluster

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Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos

Computing Open

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Computing Open 2024年第2期computing-open卷

作者： Guanghong Deng Liangpei Lin Baihao Lin Wenlong Jing Xiaodan Zhao Yong Li Rui Yang Shidun Xie Pengfeng Wei GuangDong Engineering Technology Research Center of UAV Remote Sensing Network Guangzhou iMapCloud Intelligent Technology Co. Ltd. Guangzhou 510095 P. R. China Guangdong Province Engineering Laboratory for Geographic Spatiotemporal Big Data Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou 510070 P. R. China Foshan iMapCloud Intelligent Technology Co. Ltd. Foshan 528251 P. R. China

The application of the combination of unmanned aerial vehicles (UAVs) and artificial intelligence is a hot topic in the intelligent inspection of substations, and meter reading is a very challenging task. This paper proposes a method based on the combination of YOLOv6n object detection and Deeplabv3 + image segmentation and performs post-processing on the segmented images to obtain meter readings. First, YOLOv6n is used to detect the meter area of the aerial image and classify the meters. Second, the detected meter images are fed into the image segmentation model. The backbone network of the Deeplabv3 + algorithm is improved by using the MobileNetv3 network, which not only effectively extracts pointers and scales, but also makes the model more lightweight. Third, License Plate Recognition Network (LPRNet) is used to recognize digital meter images. In order to solve the problem of inaccurate pointer meter readings, to begin with, the segmented image is corroded; in addition, the circular dial area is flattened into a rectangular area by concentric circle sampling method. Finally, the meter reading is calculated by the position of the pointer, the scale and the total range of the meter. The post-processing part uses numba to optimize the inference speed. The experimental results show that in two datasets, The mean average precision of 50 (mAP50) accuracy of the YOLOv6n model using this method reached 99.71% and 98.60%, respectively, and the inference speed of a single image was 17.1 ms and 13.2 ms, respectively. The mean intersection over union (mIoU) of the image segmentation model reached 82.00%, 74.73%, 73.50%, 82.26% and 73.20%, respectively, and the single segmentation speed reached 33.7 ms. The LPRNet model has a recognition accuracy of 99.17% and a single image inference speed of 14.7 ms. At the same time, several mainstream object detection and semantic segmentation algorithms are compared. The experimental results show that the method in this paper greatly im

关键词： Object detection image segmentation YOLOv6n Deeplabv3 + meter reading

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LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

Computing Open

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Computing Open 2024年第2期computing-open卷

作者： Guanghong Deng Bing Yu Wenlong Jing Yong Li Xiaodan Zhao GuangDong Engineering Technology Research Center of UAV Remote Sensing Network Guangzhou iMapCloud Intelligent Technology Co. Ltd. Guangzhou 510095 P. R. China Guangdong Province Engineering Laboratory for Geographic Spatiotemporal Big Data Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou 510070 P. R. China Foshan iMapCloud Intelligent Technology Co. Ltd. Foshan 528251 P. R. China

Medical image segmentation has always been a challenging task. This paper proposes a new LUneXt medical image segmentation model based on the characteristics analysis of medical image data sets and testing of different nonlinear activation units. Both normalized activations for the original negative input image activation have good optimization capabilities for the tokenization module parameters proposed in the original UneXt model. Using different activation coefficients for different foreground and background areas has achieved better results. The experimental results of this paper on the Breast Ultrasound Images (BUSI) data set reached an intersection over union (IoU) value of 62.64%, a Dice value of 76.12%, and a single inference speed of 807.57 ms. The experimental IoU value of the International Skin Imaging Collaboration (ISIC 2018) data set reached 82.95%, and the Dice value reached 90.50%. The single inference speed reached 842.58 ms. The LUneXt model is more robust than other models. While improving model performance, it does not introduce higher computational complexity and does not have a major impact on the processing speed of a single image.

关键词： Image segmentation medical images neural networks activation function

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Corrigendum to “Weak multi-label learning with missing labels via instance granular discrimination” [Inform. Sci. 594 (2022) 200–216]

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Information Sciences 2023年 619卷 1-1页

作者： Anhui Tan Xiaowan Ji Jiye Liang Yuzhi Tao Wei-Zhi Wu Witold Pedrycz School of Information Engineering Zhejiang Ocean University Zhoushan Zhejiang 316022 PR China School of Computer and Information Technology Shanxi University Taiyuan 030006 Shanxi PR China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhoushan Zhejiang 316022 PR China Department of Electrical and Computer Engineering University of Alberta Edmonton T6R 2V4 AB Canada

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Author Correction: Mapping annual 10-m soybean cropland with spatiotemporal sample migration

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Scientific data 2024年第1期11卷 565页

作者： Hongchi Zhang Zihang Lou Dailiang Peng Bing Zhang Wang Luo Jianxi Huang Xiaoyang Zhang Le Yu Fumin Wang Linsheng Huang Guohua Liu Shuang Gao Jinkang Hu Songlin Yang Enhui Cheng Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. University of Chinese Academy of Sciences Beijing 100094 China. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. pengdl@***. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. pengdl@***. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. University of Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. Jiangxi Nuclearindustry Surveying and Mapping Institute Group Co. Ltd Nanchang 330038 China. College of Land Science and Technology China Agricultural University Beijing 100083 China. Geospatial Sciences Center of Excellence Department of Geography Geospatial Sciences South Dakota State University Brookings SD 57007 USA. Department of Earth System Science Tsinghua University Beijing 100084 China. Institute of Applied Remote Sensing & Information Technology Zhejiang University Hangzhou 310058 China. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Anhui University Hefei 230601 China. Innovation Academy for Microsatellites Chinese Academy of Sciences Shanghai 200120 China.

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Comparison of gold precipitation processes between disseminated and quartz vein ores of orogenic gold deposits: insights from the Linglong gold field, Jiaodong Peninsula, China

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Ore Geology Reviews 2025年 183卷

作者： Xue, Xian-Fa Feng, Yue-Chuan Tamer, Murat Taner Liu, Tao Li, Kang Ma, Jia-Dong Zhou, Jia-Hui Yu, Hao-Cheng Ding, Zheng-Jiang State Key Laboratory of Geological Processes and Mineral Resources Frontiers Science Center for Deep-time Digital Earth School of Earth Sciences and Resources China University of Geosciences Beijing100083 China Key Laboratory of Metallogenic Geological Process and Resources Utilization in Shandong Province Key Laboratory of Gold Mineralization Processes and Resource Utilization Subordinated to the Ministry of Natural Resources Shandong Institute of Geological Sciences Jinan250013 China State Key Laboratory of Earthquake Dynamics Institute of Geology China Earthquake Administration Beijing100029 China Department of Geological Engineering Faculty of Engineering Çukurova University Adana01250 Turkey Co. LTD. Zhaoyuan265419 China Ministry of Natural Resources Technology Innovation Center for Deep Gold Resources Exploration and Mining/Shandong Provincial Engineering Laboratory of Application and Development of Big Data for Deep Gold Exploration No. 6 Geological Team of Shandong Provincial Bureau of Geology and Mineral Resources Weihai264209 China

The presence of disseminated ores and quartz vein ores in orogenic gold deposits, has given rise to an ongoing discourse surrounding the mechanisms of gold precipitation. This study employs trace element analysis and sulfur isotope analysis of pyrite in the orogenic Linglong gold field to comparatively assess the gold precipitation processes. Pyrite in disseminated ores (Pyd) is classified into Pyd1 and Pyd2, with gold primarily hosted in Pyd2, followed by Pyd1. In the context of quartz vein ores (Pyv), pyrite is subdivided into Pyv1, Pyv2, and Pyv3, with gold predominantly hosted in Pyv3. In the context of disseminated ores, the Au and As content is below the solid solubility limit of Au in pyrite, thereby suggesting that gold primarily exists as a solid solution (Au1+). The lg (Co)/lg (Ni) ratios in Pyd are −0.11 ± 1.23, predominantly below 1, suggesting water–rock interactions. The significantly lower ratios observed in Pyd2 (−0.26 ± 1.21) suggest intense water–rock interaction. The Ag/Co ratios in Pyd1 and Pyd2 are 0.074 and 23.65, with relative standard deviations (RSD) of 31.57 and 25.91, respectively, indicating weak fluid boiling. Furthermore, the sulfur isotope values (medians of 5.51 ‰ ± 0.81 ‰) indicate stable oxygen fugacity in disseminated ores. The presence of visible gold in the quartz veins ores of Pyv2 and Pyv3, in contrast to the low gold content observed in the pyrite (median value of 0.03 ppm), further substantiates these observations. The lg (Co)/lg (Ni) ratio for Pyv is 0.98 ± 2.04, which is close to 1, indicating weak water–rock reactions. The Ag/Co ratios in Pyv1, Pyv2, and Pyv3 are 0.0008, 0.009, and 0.09, with RSD values of 10.5, 63.55, and 89.86, respectively. The values of Pyv2 and Pyv3 are significantly higher than those in Pyv, indicating fluid boiling. Furthermore, a decline in sulfur isotope values from 7.6 ‰ ± 0.2 ‰ in Pyv1 to 5.0 ‰ ± 1.2 ‰ in Pyv3 is indicative of an increase in oxygen fugacity. The analysis of pyrite indicates that

关键词： Gold deposits

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Optimizing the spatial organization of rural settlements based on life quality

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Journal of Geographical Sciences 2018年第5期28卷 685-704页

作者：唐承丽贺艳华周国华曾山山肖路遥 College of Resource and Environment Science Hunan Normal University Hunan Key Laboratory of Geospatial Big Data Mining and Application Hunan Normal University Urban and Rural Planning Bureau of Wangcheng District

Optimizing rural settlements is an important measure to cope with rural decline, and improve the quality of rural life and attractions. This study introduces the "life quality theory". Based on the mechanisms governing the interactions between rural settlement space and life quality, this study examines how to optimize the spatial organization of rural settlements. Three aspects are evaluated – the integration of rural settlement spatial functions, optimization of spatial structure, and regulation of spatial scale – with the objective of building an optimization mode and framework for the spatial organization of rural settlements with high life quality. Our results suggest the following:(1) The settlement is the spatial carrier of life quality, which is an essential settlement component, and these two aspects influence and improve each other. Therefore, reasonable rural settlement space is an important precondition for higher life quality.(2) The spatial function types of rural settlements can be divided into those that maintain livelihoods, develop industry, and upgrade life quality. Optimizing spatial organization of rural settlements based on life quality requires promoting the maintenance of livelihood, integration of industrial development, and implantation in quality improvement.(3) There are two important components of optimizing the spatial organization of rural settlements. One is promoting the organic concentration of living, agricultural, and industrial spaces, the reasonable distribution of social intercourse, recreational, and services spaces, and the organic balance of living, production, and ecological spaces, so as to reasonably optimize the combination of internal spatial types in settlements. The other is forming a functional structure level of a "comprehensive village–featured village" and building spatial organization settlement modes connected by rural roads by relocating and adjusting the function of villages. These changes would require the de

关键词： rural settlement life quality spatial optimization RROD model

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Differences in single-vehicle motorcycle crashes caused by distraction and overspeed behaviors: considering temporal shifts and unobserved heterogeneity in prediction

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International Journal for Consumer and Product Safety 2023年第3期30卷

作者： Chenzhu Wang Muhammad Ijaz Fei Chen Dongdong Song Mingyu Hou Yunlong Zhang Jianchuan Cheng Muhammad Zahid a School of Transportation Southeast University Nanjing Jiangsu China b School of Transportation and Logistics Southwest Jiaotong University Chengdu Sichuan China c MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing China d Zachry Department of Civil Environmental Engineering Texas A&M University College Station TX USA e Department of Civil Geological and Mining Engineering École Polytechnique de Montréal Canada

Distraction and overspeed behaviors are acknowledged as two significant contributors to single-vehicle motorcycle crashes, injuries and fatalities resulting from which are severe and critical issues in Pakistan. To explore the temporal instability and differences in the factors determining the injury severities between single-vehicle motorcycle crashes caused by distraction and overspeed behaviors, this study estimated two groups of random parameter logit models with heterogeneity in means and variances. Single-vehicle motorcycle crash data in Rawalpindi city between 2017 and 2019 was used for model estimation, and a wide variety of explanatory variables relating to the rider, roadways, environments, and temporal attributes was simulated in the models. The current study considered three possible crash injury severity outcomes: minor injury, severe injury and fatal injury. Likelihood ratio tests were conducted to explore the temporal instability and non-transferability. Marginal effects were also calculated to further reveal temporal instability of the variables. Except for several variables, the most significant factors reported temporal instability and non-transferability, manifested as the effects varied from year to year and across different crashes. Moreover, out-of-sample prediction was also implemented to capture temporal instability and non-transferability between distraction and overspeed crash observations. The non-transferability between motorcycle crashes caused by distraction and overspeed behaviors provides insights into developing differentiated countermeasures and policies targeted at preventing and mitigating single-vehicle motorcycle crashes caused by the two risk-taking behaviors.

关键词： Temporal stability single-vehicle motorcycle crashes risk-taking behaviors injury severity out-of-sample prediction random parameters logit model

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Lump-type solutions of a generalized Kadomtsev–Petviashvili equation in(3+1)-dimensions

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Chinese Physics B 2019年第10期28卷 245-252页

作者： Xue-Ping Cheng Wen-Xiu Ma Yun-Qing Yang Physics MathematicsInformation College of Zhejiang Ocean UniversityZhoushan 316004China Key Laboratory of Oceanographic Big Data Mining&Application of Zhejiang Province Zhoushan 316022China Department of Mathematics and Statistics University of South FloridaTampaFL 33620-5700USA Department of Mathematics King Abdulaziz UniversityJeddahSaudi Arabia College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China International Institute for Symmetry Analysis and Mathematical Modelling Department of Mathematical SciencesNorth-West UniversityMafikeng CampusPrivate Bag X2046Mmabatho 2735South Africa

Through the Hirota bilinear formulation and the symbolic computation software Maple, we construct lump-type solutions for a generalized(3+1)-dimensional Kadomtsev-Petviashvili(KP) equation in three cases of the coefficients in the equation. Then the sufficient and necessary conditions to guarantee the analyticity of the resulting lump-type solutions(or the positivity of the corresponding quadratic solutions to the associated bilinear equation) are discussed. To illustrate the generality of the obtained solutions, two concrete lump-type solutions are explicitly presented, and to analyze the dynamic behaviors of the solutions specifically, the three-dimensional plots and contour profiles of these two lump-type solutions with particular choices of the involved free parameters are well displayed.

关键词： lump-type solution generalized(3+1)-dimensional Kadomtsev-Petviashvili equation Hirota bilinear form symbolic computation

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