Pub Date : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00025
Junmu Ran, Wenxue Ran, Tianwen Song
This paper proposes a new transshipment mode dominated by suppliers to solve the problem that retailers cannot negotiate transshipment in a competitive market. Through the analysis of the best operation mode and decision-making of decentralized and centralized, this paper summarizes a new transshipment method that the supplier assists the retailer in transshipment, which makes up for the defects in the implementation process of inventory transshipment, and studies the implementation method and price reset through model design. The research shows that the supplier-led inventory transshipment has a significant advantage over the traditional retailer assisted transshipment. By establishing a two-way transaction mechanism between the supplier and the retailer, the supplier can help the retailer replenish and reduce the inventory, reduce the inventory cost, and realize the inventory sharing among the supply chain members. Suppliers actively participate in the inventory transshipment between retailers, change the traditional pricing mechanism, and adopt the transshipment and pricing methods closely related to the retailer's inventory to help enterprise managers manage inventory more scientifically and efficiently and provide correct procedures and theoretical guidance for realizing inventory sharing and optimizing resource allocation.
{"title":"Inventory sharing based on supplier-led inventory transshipment","authors":"Junmu Ran, Wenxue Ran, Tianwen Song","doi":"10.1109/ICCEAI52939.2021.00025","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00025","url":null,"abstract":"This paper proposes a new transshipment mode dominated by suppliers to solve the problem that retailers cannot negotiate transshipment in a competitive market. Through the analysis of the best operation mode and decision-making of decentralized and centralized, this paper summarizes a new transshipment method that the supplier assists the retailer in transshipment, which makes up for the defects in the implementation process of inventory transshipment, and studies the implementation method and price reset through model design. The research shows that the supplier-led inventory transshipment has a significant advantage over the traditional retailer assisted transshipment. By establishing a two-way transaction mechanism between the supplier and the retailer, the supplier can help the retailer replenish and reduce the inventory, reduce the inventory cost, and realize the inventory sharing among the supply chain members. Suppliers actively participate in the inventory transshipment between retailers, change the traditional pricing mechanism, and adopt the transshipment and pricing methods closely related to the retailer's inventory to help enterprise managers manage inventory more scientifically and efficiently and provide correct procedures and theoretical guidance for realizing inventory sharing and optimizing resource allocation.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114056633","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00066
Bo Quan, Bi-Yuan Liu, D. Fu, Huaixin Chen, Xiaoyu Liu
Road extraction from remote sensing images (RSI) is one of the most important applications in semantic segmentation task. In this paper, we propose an improved DeepLab-V3model for better road segmentation in RSI. An improved Deeplab-V3 network model combined with U-Net fusion shallow features is constructed, and the collective loss function of DICE loss and BCE loss in network feedback learning is used to solve the problem of imbalance of two-class samples and effectively extracts roads in remote sensing scenes. The experiment on a challenging road segmentation dataset from Google Earth confirms that our method is better than that of Deeplab-V3 and U-Net, making Deeplab-V3 more practical for road extraction of RSI.
{"title":"Improved Deeplabv3 For Better Road Segmentation In Remote Sensing Images","authors":"Bo Quan, Bi-Yuan Liu, D. Fu, Huaixin Chen, Xiaoyu Liu","doi":"10.1109/ICCEAI52939.2021.00066","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00066","url":null,"abstract":"Road extraction from remote sensing images (RSI) is one of the most important applications in semantic segmentation task. In this paper, we propose an improved DeepLab-V3model for better road segmentation in RSI. An improved Deeplab-V3 network model combined with U-Net fusion shallow features is constructed, and the collective loss function of DICE loss and BCE loss in network feedback learning is used to solve the problem of imbalance of two-class samples and effectively extracts roads in remote sensing scenes. The experiment on a challenging road segmentation dataset from Google Earth confirms that our method is better than that of Deeplab-V3 and U-Net, making Deeplab-V3 more practical for road extraction of RSI.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114193388","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00097
Li Ruiyu, Li Yue, L. Xing, L. Meng, Guo Weiya, Zhang Chenyu, L. Qingwen, Hou Jinjie
Objective: To investigate the effect of lowering sugar and preventing deafness prescription on blood glucose in animal models of diabetic deafness. Methods: Fifty Wistar rats were randomly selected from 40 rats to establish the animal model of experimental diabetic deafness by intraperitoneal injection of 55mg/kg streptozotocin (STZ). The remaining 10 rats were normal control group (group A), and after modeling, they were randomly divided into model control group (group B), low-concentration group (group C) and high-concentration group (group D) of the suspension of the formula for lowering sugar and preventing deafness, metformin control group (group E). Group A was fed the normal diet and given the same dose of normal saline as the other groups, group B was given the same dose of normal saline as the other groups, and the metformin groups in groups C, D and E were given 3.3g/kg.d, 30g/kg.d and 0.3mg/kg.d of hypoglycemic and anti-hearing suspension and metformin aqueous solution, respectively. The administration period was 30 days. Results: Compared with normal control group, fasting blood glucose in model control group was increased, the difference was statistically significant (P < 0.05). Compared with the model control group, the fasting blood glucose level of rats in each group of Jiangtang Fang Deaf Formula was significantly decreased (P < 0.05), and the high dose group of Jiangtang Fang Deaf Formula was superior to the low dose group, but the difference between the two groups was not statistically significant (P > 0.05), and the indexes of each dose group of Jiangtang Fang Deaf Formula were not statistically significant compared with the metformin control group (P BBB>05). Conclusion: Jiangtang Fang Deafness Decoction can improve the blood glucose of diabetic deafness animal models.
{"title":"Effect of Hypoglycemic Anti-deafness Prescription on Blood Glucose in Animal Model of Diabetic Deafness","authors":"Li Ruiyu, Li Yue, L. Xing, L. Meng, Guo Weiya, Zhang Chenyu, L. Qingwen, Hou Jinjie","doi":"10.1109/ICCEAI52939.2021.00097","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00097","url":null,"abstract":"Objective: To investigate the effect of lowering sugar and preventing deafness prescription on blood glucose in animal models of diabetic deafness. Methods: Fifty Wistar rats were randomly selected from 40 rats to establish the animal model of experimental diabetic deafness by intraperitoneal injection of 55mg/kg streptozotocin (STZ). The remaining 10 rats were normal control group (group A), and after modeling, they were randomly divided into model control group (group B), low-concentration group (group C) and high-concentration group (group D) of the suspension of the formula for lowering sugar and preventing deafness, metformin control group (group E). Group A was fed the normal diet and given the same dose of normal saline as the other groups, group B was given the same dose of normal saline as the other groups, and the metformin groups in groups C, D and E were given 3.3g/kg.d, 30g/kg.d and 0.3mg/kg.d of hypoglycemic and anti-hearing suspension and metformin aqueous solution, respectively. The administration period was 30 days. Results: Compared with normal control group, fasting blood glucose in model control group was increased, the difference was statistically significant (P < 0.05). Compared with the model control group, the fasting blood glucose level of rats in each group of Jiangtang Fang Deaf Formula was significantly decreased (P < 0.05), and the high dose group of Jiangtang Fang Deaf Formula was superior to the low dose group, but the difference between the two groups was not statistically significant (P > 0.05), and the indexes of each dose group of Jiangtang Fang Deaf Formula were not statistically significant compared with the metformin control group (P BBB>05). Conclusion: Jiangtang Fang Deafness Decoction can improve the blood glucose of diabetic deafness animal models.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114504570","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 rapid spread of network security threats, traditional “blocking and killing” protection methods cannot defend the increasingly complex, organized and specialized attacks against Industrial Internet platform (IIP). IIP is the core of industrial Internet. Once compromised, it may threaten industrial production safety, social security, and even national security. Trusted computing is a key technology of constructing active defense system with the advantages of security chip autonomy, active immunity and adaptivity. An lIP security scheme based on trusted computing technology is proposed in this paper. The scheme includes trusted enhancement of virtualization software, trusted extension of virtualization environment, trusted protection of application and trusted access of edge device. By preventing the codes and data in IIP virtualization, edge and application layers from being leaked, damaged and tampered, the overall security of IIP is improved.
{"title":"A Security Scheme for Industrial Internet Platform Based on Trusted Computing Technology","authors":"Peiru Fan, Wei Zhang, Hao Zhou, Yaobing Li, Hao Jiang","doi":"10.1109/ICCEAI52939.2021.00006","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00006","url":null,"abstract":"With the rapid spread of network security threats, traditional “blocking and killing” protection methods cannot defend the increasingly complex, organized and specialized attacks against Industrial Internet platform (IIP). IIP is the core of industrial Internet. Once compromised, it may threaten industrial production safety, social security, and even national security. Trusted computing is a key technology of constructing active defense system with the advantages of security chip autonomy, active immunity and adaptivity. An lIP security scheme based on trusted computing technology is proposed in this paper. The scheme includes trusted enhancement of virtualization software, trusted extension of virtualization environment, trusted protection of application and trusted access of edge device. By preventing the codes and data in IIP virtualization, edge and application layers from being leaked, damaged and tampered, the overall security of IIP is improved.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134527213","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00030
Yuhao Zhang, Xiaoyan Hu
As the underlying visual technology, image matching technology plays an extremely important role in many fields. In these many fields, in order to get better results, most of them currently use deep learning as the mainstream algorithm, but deep learning algorithms have high requirements for the performance of the device, so it is not enough for mobile terminal to support its carrying deep learning tasks. This thesis attempts to build a suitable application scenario for them using image matching technology which is more suitable than deep learning. The main content of this thesis is to focus on the most widely used SIFT algorithm in the classic feature-based matching technology, and based on the SIFT algorithm, combined with the knowledge of homography to construct an object retrieval system for small mobile terminal. The system can retrieve the object in a picture containing the object in the system. The system uses the classic SIFT algorithm as the mainstream algorithm to meet the needs of these small mobile terminal. At the same time, the system also has a very high retrieval success rate.
{"title":"Object retrieval system based on feature matching technology","authors":"Yuhao Zhang, Xiaoyan Hu","doi":"10.1109/ICCEAI52939.2021.00030","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00030","url":null,"abstract":"As the underlying visual technology, image matching technology plays an extremely important role in many fields. In these many fields, in order to get better results, most of them currently use deep learning as the mainstream algorithm, but deep learning algorithms have high requirements for the performance of the device, so it is not enough for mobile terminal to support its carrying deep learning tasks. This thesis attempts to build a suitable application scenario for them using image matching technology which is more suitable than deep learning. The main content of this thesis is to focus on the most widely used SIFT algorithm in the classic feature-based matching technology, and based on the SIFT algorithm, combined with the knowledge of homography to construct an object retrieval system for small mobile terminal. The system can retrieve the object in a picture containing the object in the system. The system uses the classic SIFT algorithm as the mainstream algorithm to meet the needs of these small mobile terminal. At the same time, the system also has a very high retrieval success rate.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128941072","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00002
Xuecong Han, Shanna Zhuang, W. Lu, Zhengyou Wang
In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.
{"title":"A hemispheric surface improvement method based on parametric method","authors":"Xuecong Han, Shanna Zhuang, W. Lu, Zhengyou Wang","doi":"10.1109/ICCEAI52939.2021.00002","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00002","url":null,"abstract":"In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248725","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00099
Zhi-qiang Li, Chao Song, Jie Huang, Xiao-fei Luan
As the basic circuit of the optoelectronic stabilized platform, the performance index of the speed control loop is affected by the electromechanical parameters and friction coefficient of the system. The frequency characteristic index of electromechanical system model is analyzed theoretically, and then the influence of electromechanical system parameters on the frequency characteristic of the system is studied. By deducing the transfer function between current input and speed output, the control effect of the electrical parameters of the motor driver on the functional loop of the outer ring of the photoelectric stabilization platform is further analyzed. The influence of electromechanical parameters on the servo performance of the system is directly analyzed through simulation analysis. The results show that the open loop amplitude-frequency characteristics of the system are not greatly changed by the current closed loop control, and the gain of the system is improved.
{"title":"Influence Analysis of Electromechanical Servo System Parameters on Photoelectric Stability Circuit","authors":"Zhi-qiang Li, Chao Song, Jie Huang, Xiao-fei Luan","doi":"10.1109/ICCEAI52939.2021.00099","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00099","url":null,"abstract":"As the basic circuit of the optoelectronic stabilized platform, the performance index of the speed control loop is affected by the electromechanical parameters and friction coefficient of the system. The frequency characteristic index of electromechanical system model is analyzed theoretically, and then the influence of electromechanical system parameters on the frequency characteristic of the system is studied. By deducing the transfer function between current input and speed output, the control effect of the electrical parameters of the motor driver on the functional loop of the outer ring of the photoelectric stabilization platform is further analyzed. The influence of electromechanical parameters on the servo performance of the system is directly analyzed through simulation analysis. The results show that the open loop amplitude-frequency characteristics of the system are not greatly changed by the current closed loop control, and the gain of the system is improved.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303640","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00051
Jia Guo, Xusen Wang, Hongfan Zhao, Junjie Wang
Orthodontics involves anatomy and physiology, growth and development, biomechanics, mechanical mechanics and other aspects, so it is difficult to learn and master such a large and complex theoretical knowledge. With the rapid development of digital technology, the three-dimensional digital model of teeth and jaws is more widely used. It can present the anatomical structure in three dimensions, and then combine with three-dimensional finite element method to simulate the force characteristics and movement mode of teeth. It is of great benefit for students to quickly and deeply understand the anatomical structure and orthodontic biomechanics. The purpose of this study is to explore the role of digital model in orthodontics teaching by constructing three-dimensional digital model of teeth and jaw and three-dimensional finite element analysis.
{"title":"Application of three-dimensional digital modeling of teeth and jaws in orthodontics teaching","authors":"Jia Guo, Xusen Wang, Hongfan Zhao, Junjie Wang","doi":"10.1109/ICCEAI52939.2021.00051","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00051","url":null,"abstract":"Orthodontics involves anatomy and physiology, growth and development, biomechanics, mechanical mechanics and other aspects, so it is difficult to learn and master such a large and complex theoretical knowledge. With the rapid development of digital technology, the three-dimensional digital model of teeth and jaws is more widely used. It can present the anatomical structure in three dimensions, and then combine with three-dimensional finite element method to simulate the force characteristics and movement mode of teeth. It is of great benefit for students to quickly and deeply understand the anatomical structure and orthodontic biomechanics. The purpose of this study is to explore the role of digital model in orthodontics teaching by constructing three-dimensional digital model of teeth and jaw and three-dimensional finite element analysis.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132503402","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00011
Jianli Zhao, H. Lee
Classical Chinese poetry is a kind of formatted text with phonological patterns. It has been a big challenge for the classical Chinese poetry generation. Because deep learning technology has made great progress in image and text processing, we present a classical Chinese poetry generation model based on Transformer-XL that can capture longer-term dependency than the original transformer. Our model creates the first character according to the title specified by a user and then concatenates the generated character as the input to predict the next character until reaches the predefined number of characters. Experimental results show that our model can generate poems that have good format, consistency and rhythm.
{"title":"Classical Chinese Poetry Generation based on Transformer-XL","authors":"Jianli Zhao, H. Lee","doi":"10.1109/ICCEAI52939.2021.00011","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00011","url":null,"abstract":"Classical Chinese poetry is a kind of formatted text with phonological patterns. It has been a big challenge for the classical Chinese poetry generation. Because deep learning technology has made great progress in image and text processing, we present a classical Chinese poetry generation model based on Transformer-XL that can capture longer-term dependency than the original transformer. Our model creates the first character according to the title specified by a user and then concatenates the generated character as the input to predict the next character until reaches the predefined number of characters. Experimental results show that our model can generate poems that have good format, consistency and rhythm.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128385814","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00072
Lei Zhang, Zhengying Wei, Weibing Jia, H. Wei
Multi-user random water distribution technology solves the shortage of available water and unreasonable water distribution in multi-user irrigation zones. With the goal of maximizing irrigation revenue, a multi-user random opportunity constrained programming water allocation model is established. Monte Carlo is used to simulate random variables. A hybrid intelligent algorithm is applied to solve the water allocation model to obtain the best allocation of different crops in different growth periods. Compared with traditional irrigation methods, the multi-users water optimal allocation model can increase the income by 21.32%.
{"title":"Multi-user Random Water Distribution in Greenhouse Based on Hybrid Intelligent Algorithm","authors":"Lei Zhang, Zhengying Wei, Weibing Jia, H. Wei","doi":"10.1109/ICCEAI52939.2021.00072","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00072","url":null,"abstract":"Multi-user random water distribution technology solves the shortage of available water and unreasonable water distribution in multi-user irrigation zones. With the goal of maximizing irrigation revenue, a multi-user random opportunity constrained programming water allocation model is established. Monte Carlo is used to simulate random variables. A hybrid intelligent algorithm is applied to solve the water allocation model to obtain the best allocation of different crops in different growth periods. Compared with traditional irrigation methods, the multi-users water optimal allocation model can increase the income by 21.32%.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678064","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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