Pub Date : 2022-07-15DOI: 10.1109/icaci55529.2022.9837636
Tianqi Liu, Hua Yang, J. Yu, Kang Zhou, Feng Jiang
To improve the performance of the harmony search algorithm and enable the processing of increasingly complicated optimization problems, a global harmony search algorithm based on tent chaos map and elite reverse learning (HS-TE) has been proposed. The algorithm uses the tent chaos map to initialize the population and adopts the elite reverse learning strategy to optimize the iterative process. The method reduces the algorithm’s dependence on the initial solution, improves the search optimization ability, enhances the diversity of the population, and establishes adaptive parameters to control the development and exploration of the iterative process, which is beneficial to improving the algorithm’s search ability. Create test experiments: Various HS algorithms perform classic benchmark function tests. The experimental test data shows that the algorithm is better than the current five improved harmony search algorithms and has better convergence and accuracy. The algorithm is used to improve the penalty parameters and kernel function parameters of SVR, and then use the optimized SVR to perform regression prediction on the daily opening number of the Shanghai Stock Exchange. According to the experimental results, the upgraded SVR provides better prediction performance. It works both in theory and in real life and can be used to predict the Shanghai Securities Composite Index.
{"title":"A Global Harmony Search Algorithm Based on Tent Chaos Map and Elite Reverse Learning","authors":"Tianqi Liu, Hua Yang, J. Yu, Kang Zhou, Feng Jiang","doi":"10.1109/icaci55529.2022.9837636","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837636","url":null,"abstract":"To improve the performance of the harmony search algorithm and enable the processing of increasingly complicated optimization problems, a global harmony search algorithm based on tent chaos map and elite reverse learning (HS-TE) has been proposed. The algorithm uses the tent chaos map to initialize the population and adopts the elite reverse learning strategy to optimize the iterative process. The method reduces the algorithm’s dependence on the initial solution, improves the search optimization ability, enhances the diversity of the population, and establishes adaptive parameters to control the development and exploration of the iterative process, which is beneficial to improving the algorithm’s search ability. Create test experiments: Various HS algorithms perform classic benchmark function tests. The experimental test data shows that the algorithm is better than the current five improved harmony search algorithms and has better convergence and accuracy. The algorithm is used to improve the penalty parameters and kernel function parameters of SVR, and then use the optimized SVR to perform regression prediction on the daily opening number of the Shanghai Stock Exchange. According to the experimental results, the upgraded SVR provides better prediction performance. It works both in theory and in real life and can be used to predict the Shanghai Securities Composite Index.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114288276","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837648
Yunong Zhang, Jielong Chen, Shuai Li
In order to deal with time-variant overdetermined system of linear equations (TVOSLE), a new approach termed Zhang neuronet of reciprocal kind (ZNRK) is proposed and reformulated. As developed from the continuous-time Zhang neuronet (CTZN), the ZNRK model is, however, quite different from existing CTZN models. That is, a conventional CTZN model needs to compute the inverse of the coefficient matrix. When the dimension of the coefficient matrix is large, the inverse of the coefficient matrix is difficult to compute. Hence, we propose the ZNRK model that does not need to compute the inverse of the coefficient matrix, only needing to compute the reciprocal of a scalar, which greatly reduces the computation complexity. In this paper, three computer simulations are used to test the validity of the ZNRK model, and the results substantiate the effectiveness of the ZNRK model for dealing with TVOSLE. Investigating the convergence-rate effect of the ZNRK model, we find that the convergence time decreases with the value of the convergence parameter increasing.
{"title":"Forms and Results of Zhang Neuronet of Reciprocal Kind Dealing with Time-Variant Overdetermined System of Linear Equations","authors":"Yunong Zhang, Jielong Chen, Shuai Li","doi":"10.1109/icaci55529.2022.9837648","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837648","url":null,"abstract":"In order to deal with time-variant overdetermined system of linear equations (TVOSLE), a new approach termed Zhang neuronet of reciprocal kind (ZNRK) is proposed and reformulated. As developed from the continuous-time Zhang neuronet (CTZN), the ZNRK model is, however, quite different from existing CTZN models. That is, a conventional CTZN model needs to compute the inverse of the coefficient matrix. When the dimension of the coefficient matrix is large, the inverse of the coefficient matrix is difficult to compute. Hence, we propose the ZNRK model that does not need to compute the inverse of the coefficient matrix, only needing to compute the reciprocal of a scalar, which greatly reduces the computation complexity. In this paper, three computer simulations are used to test the validity of the ZNRK model, and the results substantiate the effectiveness of the ZNRK model for dealing with TVOSLE. Investigating the convergence-rate effect of the ZNRK model, we find that the convergence time decreases with the value of the convergence parameter increasing.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133380892","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837548
Yongxing Ma, Junwei Sun, Yilin Yan, J. Yang, Peng Liu
A hyperbolic sine memristor model is designed. Based on two-dimensional Hindmarch-Rose neurons, a simple neural network is constructed by coupling two Hindmarch-Rose neurons with memristor. In addition, bistability of coupled neuron model is revealed by using local attractor basin. A neuron circuit is designed and implemented to simulate the electrical activity of neurons. Finally, it is applied to color image encryption and has a good encryption effect.
{"title":"Dynamic Characteristics and Color Image Encryption of Five-dimensional Neuron System","authors":"Yongxing Ma, Junwei Sun, Yilin Yan, J. Yang, Peng Liu","doi":"10.1109/icaci55529.2022.9837548","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837548","url":null,"abstract":"A hyperbolic sine memristor model is designed. Based on two-dimensional Hindmarch-Rose neurons, a simple neural network is constructed by coupling two Hindmarch-Rose neurons with memristor. In addition, bistability of coupled neuron model is revealed by using local attractor basin. A neuron circuit is designed and implemented to simulate the electrical activity of neurons. Finally, it is applied to color image encryption and has a good encryption effect.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037268","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837494
Yuze Zhang, Lilan Tu
Based on complex network theory, this paper takes 11 lines and 247 stations actually operated in Wuhan Metro in 2022 as the research object. Firstly, Space-L and Space-P networks of Wuhan Metro are constructed respectively, by calculating the statistics of the two networks, the characteristics of Wuhan Metro transportation system are comprehensively studied. Then we select four indicators that can reflect the practical significance, use the entropy weight method to weight the indicators, and rank the station importance of 247 stations in the two networks. The important stations in the Space-L network ensure the normal operation of the subway network, while the important stations in the Space-P network facilitate passengers’ travel and transfer, and the stations with the highest importance need to strengthen the construction and maintenance in actual operation.
{"title":"Characteristic Analysis and Important Stations Identification of Wuhan Metro Complex Network Based on Two Models","authors":"Yuze Zhang, Lilan Tu","doi":"10.1109/icaci55529.2022.9837494","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837494","url":null,"abstract":"Based on complex network theory, this paper takes 11 lines and 247 stations actually operated in Wuhan Metro in 2022 as the research object. Firstly, Space-L and Space-P networks of Wuhan Metro are constructed respectively, by calculating the statistics of the two networks, the characteristics of Wuhan Metro transportation system are comprehensively studied. Then we select four indicators that can reflect the practical significance, use the entropy weight method to weight the indicators, and rank the station importance of 247 stations in the two networks. The important stations in the Space-L network ensure the normal operation of the subway network, while the important stations in the Space-P network facilitate passengers’ travel and transfer, and the stations with the highest importance need to strengthen the construction and maintenance in actual operation.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131896119","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837733
Nanling Tan, Jiang Xiong, Nian Zhang, Yi Peng
Due to the performance characteristics of electric vehicles, there is a lot of room for development in the future. When too many vehicles are connected to the grid at the same time, it will exceed the capacity of the grid, which will damage both the user and the grid, and that needs to be studied and controlled. This article is from the perspective of electric vehicle users, supplemented by the safety of the distribution network, and establishes an objective function for the minimum user charging cost and the minimum grid load peak-valley difference, considering the conditions of initial battery capacity, charging time and grid rated power. It dispatches the charging period selected by users based on time-of-use (TOU) electricity price, adopts a differential evolution algorithm (DE) to optimize the orderly charging, and carries out an example simulation to obtain the orderly charging load curve. The daily random charging state is simulated by the Monte Carlo algorithm, and the disordered charging curve is generated. By comparing the disordered charging curve with the ordered charging curve, the effectiveness of DE in realizing ‘peak cutting and valley filling’ is verified.
{"title":"Research on Orderly Charging optimization of Electric Vehicle Based on Differential Evolution Algorithm","authors":"Nanling Tan, Jiang Xiong, Nian Zhang, Yi Peng","doi":"10.1109/icaci55529.2022.9837733","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837733","url":null,"abstract":"Due to the performance characteristics of electric vehicles, there is a lot of room for development in the future. When too many vehicles are connected to the grid at the same time, it will exceed the capacity of the grid, which will damage both the user and the grid, and that needs to be studied and controlled. This article is from the perspective of electric vehicle users, supplemented by the safety of the distribution network, and establishes an objective function for the minimum user charging cost and the minimum grid load peak-valley difference, considering the conditions of initial battery capacity, charging time and grid rated power. It dispatches the charging period selected by users based on time-of-use (TOU) electricity price, adopts a differential evolution algorithm (DE) to optimize the orderly charging, and carries out an example simulation to obtain the orderly charging load curve. The daily random charging state is simulated by the Monte Carlo algorithm, and the disordered charging curve is generated. By comparing the disordered charging curve with the ordered charging curve, the effectiveness of DE in realizing ‘peak cutting and valley filling’ is verified.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372186","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837505
Hua Jiang, Chengyu Hu, Feng Jiang
A hybrid model based on Word2Vec-LSTM is utilized to analyze movie review sentiment in this paper. Word2Vec integrates text context semantics to generate text vector, and LSTM extracts semantic information to classify positive and negative emotions. In order to measure the classification capacity of the Word2Vec-LSTM, Word Index and Hash Trick method are constructed as benchmark models. We combine the word index and Hash Trick with several mainstream machine learning models to obtain the Word Index-Based Classifiers and Hash Trick-Based Classifiers. The experimental results show that Word2Vec-LSTM has the best performance. The accuracy is improved by 29.12% and 18.84% compared with Word Index-Based Classifiers and Hash Trick-Based Classifiers respectively, which shows that the Word2Vec-LSTM hybrid model is more effective for the movie review sentiment analysis.
{"title":"Text Sentiment Analysis of Movie Reviews Based on Word2Vec-LSTM","authors":"Hua Jiang, Chengyu Hu, Feng Jiang","doi":"10.1109/icaci55529.2022.9837505","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837505","url":null,"abstract":"A hybrid model based on Word2Vec-LSTM is utilized to analyze movie review sentiment in this paper. Word2Vec integrates text context semantics to generate text vector, and LSTM extracts semantic information to classify positive and negative emotions. In order to measure the classification capacity of the Word2Vec-LSTM, Word Index and Hash Trick method are constructed as benchmark models. We combine the word index and Hash Trick with several mainstream machine learning models to obtain the Word Index-Based Classifiers and Hash Trick-Based Classifiers. The experimental results show that Word2Vec-LSTM has the best performance. The accuracy is improved by 29.12% and 18.84% compared with Word Index-Based Classifiers and Hash Trick-Based Classifiers respectively, which shows that the Word2Vec-LSTM hybrid model is more effective for the movie review sentiment analysis.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123644082","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837484
Jinrong Yang, Guici Chen
This paper mainly considers the finite-time synchronization (FNTS) of delayed bidirectional associative memory neural networks (BAMNNs) with state-dependent switching. First, the state-dependent switching parameters of BAMNNs are explained via the interval matrix method instead of differential inclusion theory and set-value map. Then, two similar state feedback controllers are designed due to the bilayer structure of the BAMNNs. By constructing Lyapunov function and applying the definition of FNTS and some inequality tricks, several sufficient conditions are obtained to ensure that the drive-response BAMNNs reach synchronization in finite time. In addition, the settling time (ST) of FNTS is obtained by simple calculations. Finally, the correctness of this paper is verified by numerical simulations.
{"title":"Finite-time Synchronization of Delayed BAM Neural Networks with State-dependent Switching","authors":"Jinrong Yang, Guici Chen","doi":"10.1109/icaci55529.2022.9837484","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837484","url":null,"abstract":"This paper mainly considers the finite-time synchronization (FNTS) of delayed bidirectional associative memory neural networks (BAMNNs) with state-dependent switching. First, the state-dependent switching parameters of BAMNNs are explained via the interval matrix method instead of differential inclusion theory and set-value map. Then, two similar state feedback controllers are designed due to the bilayer structure of the BAMNNs. By constructing Lyapunov function and applying the definition of FNTS and some inequality tricks, several sufficient conditions are obtained to ensure that the drive-response BAMNNs reach synchronization in finite time. In addition, the settling time (ST) of FNTS is obtained by simple calculations. Finally, the correctness of this paper is verified by numerical simulations.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875184","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837561
Ting Su, Zhixia Ding, Sai Li, Le Yang, Guan Wang, Rui Jiao
A new type of memristor-based rectangular wave generator is proposed in this paper, which is composed of memristance adjustment circuits, rectangular wave generator circuit and start-up circuit. Due to the use of memristors, the cycles and amplitude of the proposed rectangular wave generator can be adjusted continuously without changing the structure of the circuit. Compared with the traditional rectangular wave generator, the output speed of the stable rectangular wave is greatly improved owing to the start-up circuit. In addition, the mathematical relationship between the input and output in the whole circuit is described and analyzed in detail. Finally, the effectiveness of the circuit has been verified in PSPICE, and the accuracy of the output square wave has also been considered.
{"title":"A Novel Memristor-based Rectangular Wave Generator","authors":"Ting Su, Zhixia Ding, Sai Li, Le Yang, Guan Wang, Rui Jiao","doi":"10.1109/icaci55529.2022.9837561","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837561","url":null,"abstract":"A new type of memristor-based rectangular wave generator is proposed in this paper, which is composed of memristance adjustment circuits, rectangular wave generator circuit and start-up circuit. Due to the use of memristors, the cycles and amplitude of the proposed rectangular wave generator can be adjusted continuously without changing the structure of the circuit. Compared with the traditional rectangular wave generator, the output speed of the stable rectangular wave is greatly improved owing to the start-up circuit. In addition, the mathematical relationship between the input and output in the whole circuit is described and analyzed in detail. Finally, the effectiveness of the circuit has been verified in PSPICE, and the accuracy of the output square wave has also been considered.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115888664","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837592
Xu Zhang, Zhongwen Zhao, F. Gong, Kexin Zhu, Guodong Li, Di Lu
In order to improve the efficiency of radar dynamic accuracy assessment, firstly, aiming at the problem that the original accuracy statistics method based on error grouping has low automation and can only be applied to post-processing, a radar instantaneous accuracy estimation method based on median is proposed under the condition that the data acquisition frequency is not less than 20Hz, which simplifies the relevant process of accuracy statistics; Then, a double threshold accuracy rapid assessment method is given. The instantaneous accuracy of radar is evaluated in two steps in the measurement process by using two thresholds: accuracy index and over standard rate; Finally, aiming at the decline of the applicability of typical accuracy indexes in other cases or when they are directly used to evaluate the instantaneous accuracy of radar, a concept of real-time equivalent conversion of radar accuracy indexes is proposed. These works provide a reference method for rapid assessment of radar dynamic accuracy. The test under the measured data verifies the effectiveness of the proposed method.
{"title":"Rapid Assessment Method of Radar Dynamic Accuracy Based on Real-time Conversion of Accuracy Indexes","authors":"Xu Zhang, Zhongwen Zhao, F. Gong, Kexin Zhu, Guodong Li, Di Lu","doi":"10.1109/icaci55529.2022.9837592","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837592","url":null,"abstract":"In order to improve the efficiency of radar dynamic accuracy assessment, firstly, aiming at the problem that the original accuracy statistics method based on error grouping has low automation and can only be applied to post-processing, a radar instantaneous accuracy estimation method based on median is proposed under the condition that the data acquisition frequency is not less than 20Hz, which simplifies the relevant process of accuracy statistics; Then, a double threshold accuracy rapid assessment method is given. The instantaneous accuracy of radar is evaluated in two steps in the measurement process by using two thresholds: accuracy index and over standard rate; Finally, aiming at the decline of the applicability of typical accuracy indexes in other cases or when they are directly used to evaluate the instantaneous accuracy of radar, a concept of real-time equivalent conversion of radar accuracy indexes is proposed. These works provide a reference method for rapid assessment of radar dynamic accuracy. The test under the measured data verifies the effectiveness of the proposed method.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976960","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 : 2022-07-15DOI: 10.1109/icaci55529.2022.9837483
Huajie Wu, Yunlai Cheng, Ruiqi Zeng, L. Li
Strawberries are one of the most important cash crops and are widely grown around the world. Since strawberries have a short ripening period and not all strawberries are of the same maturity, it is important to know the specific maturity value of each strawberry in a timely and accurate manner for automatic strawberry picking. This study is aimed at image processing in order to achieve numerical values of strawberry maturity as a quantitative indicator of strawberry maturity. A deep network U^2-Net with significant object detection is used, trained and tested to automatically segment strawberries and background in the image; Two-Pass concatenated domain analysis is used to segment individual strawberries in the mask, and then the percentage of red pixels in the segmented individual strawberries is calculated.
{"title":"Strawberry Image Segmentation Based on U^ 2-Net and Maturity Calculation","authors":"Huajie Wu, Yunlai Cheng, Ruiqi Zeng, L. Li","doi":"10.1109/icaci55529.2022.9837483","DOIUrl":"https://doi.org/10.1109/icaci55529.2022.9837483","url":null,"abstract":"Strawberries are one of the most important cash crops and are widely grown around the world. Since strawberries have a short ripening period and not all strawberries are of the same maturity, it is important to know the specific maturity value of each strawberry in a timely and accurate manner for automatic strawberry picking. This study is aimed at image processing in order to achieve numerical values of strawberry maturity as a quantitative indicator of strawberry maturity. A deep network U^2-Net with significant object detection is used, trained and tested to automatically segment strawberries and background in the image; Two-Pass concatenated domain analysis is used to segment individual strawberries in the mask, and then the percentage of red pixels in the segmented individual strawberries is calculated.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515424","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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