Jiaxing Zhao, Jiale Zhang, Yatao Shi, Lianshuan Shi
Aiming at the problem that simple genetic algorithm is easy to fall into local optimum when solving the path planning of mobile robots, an improved adaptive genetic algorithm is proposed for robot path planning. First, use the discontinuous continuity method to initialize the population, and introduce the elitist replacement strategy, so that the individual has a better gene structure and excellent characteristics, and ensure the global optimization; introduce an adaptive adjustment strategy for the crossover and mutation operators to improve the convergence speed of the algorithm. After the mutation operation, the mutation high-quality operator is proposed to keep the mutated individual always optimal; the smoothness index is added to the fitness function, and the penalty factor is introduced to make the planned path more smooth and efficient. Finally, the algorithm is compared with the traditional genetic algorithm. Experimental results show that the improved algorithm has higher search efficiency and can obtain better path planning results.
{"title":"Based on adaptive improved genetic algorithm of optimal path planning","authors":"Jiaxing Zhao, Jiale Zhang, Yatao Shi, Lianshuan Shi","doi":"10.1145/3517077.3517114","DOIUrl":"https://doi.org/10.1145/3517077.3517114","url":null,"abstract":"Aiming at the problem that simple genetic algorithm is easy to fall into local optimum when solving the path planning of mobile robots, an improved adaptive genetic algorithm is proposed for robot path planning. First, use the discontinuous continuity method to initialize the population, and introduce the elitist replacement strategy, so that the individual has a better gene structure and excellent characteristics, and ensure the global optimization; introduce an adaptive adjustment strategy for the crossover and mutation operators to improve the convergence speed of the algorithm. After the mutation operation, the mutation high-quality operator is proposed to keep the mutated individual always optimal; the smoothness index is added to the fitness function, and the penalty factor is introduced to make the planned path more smooth and efficient. Finally, the algorithm is compared with the traditional genetic algorithm. Experimental results show that the improved algorithm has higher search efficiency and can obtain better path planning results.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124507321","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}
Yongli Zhang, Xiaoli Wang, Shigang Cui, Jingyu Zhang, J. Su
The life cycle of Haematococcus pluvialis is more complicated, and cultivation requires many suitable conditions, so it is difficult to predict the cultivation effect. Therefore, in order to explore the short-term growth status of Haematococcus pluvialis cells in the proliferation stage, 99 groups of sample data with the average radius of algae cells are selected as the research object, and the stability test and white noise test of the sample data sequence are performed. According to the stability of the data series, the model parameters were determined, and the ARIMA model was established to predict the time series. In order to prove the applicability and accuracy of the model, the real value and the predicted value of the algae cell radius were compared. Haematococcus cell radius error is within 10%, It shows that the model can bring reference research value for the growth prediction of algae cells in the short-term.
{"title":"Study on growth prediction of Haematococcus pluvialis based on ARIMA model","authors":"Yongli Zhang, Xiaoli Wang, Shigang Cui, Jingyu Zhang, J. Su","doi":"10.1145/3517077.3517106","DOIUrl":"https://doi.org/10.1145/3517077.3517106","url":null,"abstract":"The life cycle of Haematococcus pluvialis is more complicated, and cultivation requires many suitable conditions, so it is difficult to predict the cultivation effect. Therefore, in order to explore the short-term growth status of Haematococcus pluvialis cells in the proliferation stage, 99 groups of sample data with the average radius of algae cells are selected as the research object, and the stability test and white noise test of the sample data sequence are performed. According to the stability of the data series, the model parameters were determined, and the ARIMA model was established to predict the time series. In order to prove the applicability and accuracy of the model, the real value and the predicted value of the algae cell radius were compared. Haematococcus cell radius error is within 10%, It shows that the model can bring reference research value for the growth prediction of algae cells in the short-term.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129278959","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 order to improve the efficiency of remote sensing imaging, aerial cameras use vertical swing sweep motion to take imaging. Because the optical axis of the camera rotates at a certain speed in the swing sweep direction, there is a gap between the image formed by the imaging target on the focal plane and the photosensitive medium. Relative motion brings about image motion blur, which will seriously affect the image quality of the camera. Eliminating the problem of image quality degradation caused by this scanning image shift is a problem that must be solved for wide-scan imaging. In the thesis, the mechanism of side-sweeping and the effect of image shifting on the image are analyzed, and the necessity of image-shift compensation is explained. The design adopts an optical mirror-based swing-sweeping image shift. The compensation device performs scanning image motion compensation, and calculates the principle and accuracy of image motion compensation. Through ground image motion compensation test and flight test test, the image motion compensation imaging effect is good, which can meet the requirements of pendulum sweep aerial imaging image motion compensation.
{"title":"Research on Image Motion Compensation Technology of Aerial Camera With Fast Sweeping","authors":"Weining Chen","doi":"10.1145/3517077.3517097","DOIUrl":"https://doi.org/10.1145/3517077.3517097","url":null,"abstract":"In order to improve the efficiency of remote sensing imaging, aerial cameras use vertical swing sweep motion to take imaging. Because the optical axis of the camera rotates at a certain speed in the swing sweep direction, there is a gap between the image formed by the imaging target on the focal plane and the photosensitive medium. Relative motion brings about image motion blur, which will seriously affect the image quality of the camera. Eliminating the problem of image quality degradation caused by this scanning image shift is a problem that must be solved for wide-scan imaging. In the thesis, the mechanism of side-sweeping and the effect of image shifting on the image are analyzed, and the necessity of image-shift compensation is explained. The design adopts an optical mirror-based swing-sweeping image shift. The compensation device performs scanning image motion compensation, and calculates the principle and accuracy of image motion compensation. Through ground image motion compensation test and flight test test, the image motion compensation imaging effect is good, which can meet the requirements of pendulum sweep aerial imaging image motion compensation.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127680105","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}
Jiale Zhang, Haodong Wang, Jiaxing Zhao, Shuangyu Duan, Lianshuan Shi
To improve the optimization of high-dimensional complex functions,In this paper,we combine both GA and PSO to propose an improved hybrid PSO-GA algorithm.First,the learning factors and inertial weights of the first half PSO are modified in the improved algorithm to optimize the local and global search.An adaptive GA is then introduced in the second half of the algorithm to balance population diversity and avoid falling into local optimal.Finally,this paper uses four typical test functions,performing a testing and comparative analysis of the algorithm.Experimental results show that the improved hybrid algorithm can not only effectively avoid the local optimum,but also improve the optimization ability of the function.
{"title":"Application of hybrid PSO-GA algorithm in optimization of high-dimensional complex functions","authors":"Jiale Zhang, Haodong Wang, Jiaxing Zhao, Shuangyu Duan, Lianshuan Shi","doi":"10.1145/3517077.3517103","DOIUrl":"https://doi.org/10.1145/3517077.3517103","url":null,"abstract":"To improve the optimization of high-dimensional complex functions,In this paper,we combine both GA and PSO to propose an improved hybrid PSO-GA algorithm.First,the learning factors and inertial weights of the first half PSO are modified in the improved algorithm to optimize the local and global search.An adaptive GA is then introduced in the second half of the algorithm to balance population diversity and avoid falling into local optimal.Finally,this paper uses four typical test functions,performing a testing and comparative analysis of the algorithm.Experimental results show that the improved hybrid algorithm can not only effectively avoid the local optimum,but also improve the optimization ability of the function.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117344668","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}
Yi Yin, Ruofan Wang, Hao Wang, Lianshuan Shi, Wei Wang
In order to investigate the abnormalities of brain connectivity in Alzheimer's disease (AD), and to improve the EEG recognition rate of AD, brain network of linear coherence was constructed to use background electroencephalogram (EEG) signals from patients with AD patients and normal elderly control group. In this study, we extracted 8 brain network features from each frequency band(Delta, Theta, Alpha and Beta). Statistical analysis was used to investigate whether there were significant differences between the characteristics of the AD group and the control group, and further support vector machine (SVM) classification analysis was conducted to identify the differences between the two groups. As an intelligent optimization algorithm, particle swarm optimization (PSO) and its improved algorithm (SecvibratPSO) provide a new possibility for effective feature screening of brain networks. PSO and SecvibratPSO were applied to screen feature combinations of brain networks in single band and in the cross band combinations. The simulation results showed that the two algorithms could determine the optimal feature combination of brain network and improved the EEG recognition rate of AD, but the accuracy of the SecvibratPSO algorithm was higher, reaching 0.8891. These results indicated that the SecvibratPSO algorithm is an effective method to identify the abnormal topological structure of AD brain network.
{"title":"Electroencephalogram Recognition of Alzheimer's Brain with SecVibratPSO-SVM Frame","authors":"Yi Yin, Ruofan Wang, Hao Wang, Lianshuan Shi, Wei Wang","doi":"10.1145/3517077.3517098","DOIUrl":"https://doi.org/10.1145/3517077.3517098","url":null,"abstract":"In order to investigate the abnormalities of brain connectivity in Alzheimer's disease (AD), and to improve the EEG recognition rate of AD, brain network of linear coherence was constructed to use background electroencephalogram (EEG) signals from patients with AD patients and normal elderly control group. In this study, we extracted 8 brain network features from each frequency band(Delta, Theta, Alpha and Beta). Statistical analysis was used to investigate whether there were significant differences between the characteristics of the AD group and the control group, and further support vector machine (SVM) classification analysis was conducted to identify the differences between the two groups. As an intelligent optimization algorithm, particle swarm optimization (PSO) and its improved algorithm (SecvibratPSO) provide a new possibility for effective feature screening of brain networks. PSO and SecvibratPSO were applied to screen feature combinations of brain networks in single band and in the cross band combinations. The simulation results showed that the two algorithms could determine the optimal feature combination of brain network and improved the EEG recognition rate of AD, but the accuracy of the SecvibratPSO algorithm was higher, reaching 0.8891. These results indicated that the SecvibratPSO algorithm is an effective method to identify the abnormal topological structure of AD brain network.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076255","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}
Dong Liu, Yunying Wang, Chen Zhao, Yan Lu, Yutong Hu
As a typical 5G service, VR service quality has become the focus of attention of the network operators. Both 5G and Gigabit home broadband have the characteristics of high bandwidth and low latency, and could theoretically provide a good network support to the VR video playback, especially to 360-degree panoramic videos. In the current study, we explored the VR video playback quality and users’ viewing feelings under 5G and Gigabit home broadband network in a home environment. Our findings indicated that the video playback quality under 5G network was significantly lower than that under Gigabit home broadband network. In addition, we found that users were more sensitive to stalling frequency during watching, which considered to be highly related to the value of the network downlink rate. Our findings implied that the stability of 5G network performance should be further improved to better support the applications that require the network with high bandwidth and low latency.
{"title":"An Investigation of User Experiences on VR Videos in a Home Environment","authors":"Dong Liu, Yunying Wang, Chen Zhao, Yan Lu, Yutong Hu","doi":"10.1145/3517077.3517085","DOIUrl":"https://doi.org/10.1145/3517077.3517085","url":null,"abstract":"As a typical 5G service, VR service quality has become the focus of attention of the network operators. Both 5G and Gigabit home broadband have the characteristics of high bandwidth and low latency, and could theoretically provide a good network support to the VR video playback, especially to 360-degree panoramic videos. In the current study, we explored the VR video playback quality and users’ viewing feelings under 5G and Gigabit home broadband network in a home environment. Our findings indicated that the video playback quality under 5G network was significantly lower than that under Gigabit home broadband network. In addition, we found that users were more sensitive to stalling frequency during watching, which considered to be highly related to the value of the network downlink rate. Our findings implied that the stability of 5G network performance should be further improved to better support the applications that require the network with high bandwidth and low latency.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280798","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 development of China's economy, people's power consumption level has gradually improved, which has brought great pressure to the distribution and power supply in the distribution station area. Accurate load forecasting of distribution station area provides a reference basis for capacity expansion planning of distribution station area. This paper comprehensively considers the self factors and external influencing factors of the distribution station area, carries out cluster division according to its geographical location and maximum load, analyzes the power consumption behavior of different types of distribution station areas, and establishes the maximum load model of different types of distribution station areas by using the random forest regression cycle, so as to improve the prediction accuracy. This method overcomes the disadvantages of large difference in load data in distribution station area and difficult to quantify.
{"title":"Research on medium and long term load forecasting method in courts based on K-means clustering and random forest","authors":"J. Luo, Dongtao Wang","doi":"10.1145/3517077.3517107","DOIUrl":"https://doi.org/10.1145/3517077.3517107","url":null,"abstract":"With the rapid development of China's economy, people's power consumption level has gradually improved, which has brought great pressure to the distribution and power supply in the distribution station area. Accurate load forecasting of distribution station area provides a reference basis for capacity expansion planning of distribution station area. This paper comprehensively considers the self factors and external influencing factors of the distribution station area, carries out cluster division according to its geographical location and maximum load, analyzes the power consumption behavior of different types of distribution station areas, and establishes the maximum load model of different types of distribution station areas by using the random forest regression cycle, so as to improve the prediction accuracy. This method overcomes the disadvantages of large difference in load data in distribution station area and difficult to quantify.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132786849","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 global energy crisis, the environmental problems become increasingly prominent, the traditional fuel vehicles have been unable to adapt to the requirements of the new era, while pure electric vehicles, which is clean and zero pollution, can be expected in the near future, which will replace the traditional fuel vehicles and become the main transport. Therefore, in recent years many research units have invested funds to develop pure electric vehicles, making pure electric vehicles have a rapid development. This paper mainly studies the dynamic system of pure electric vehicles. Based on the parameter selection and matching of motor, transmission structure and battery modeling design, a dynamic system model of electric vehicle with lithium iron phosphate battery as power source and permanent magnet synchronous motor as power conversion device was established. Finally, the dynamic system model is simulated and analyzed in terms of acceleration performance, climbing performance, maximum speed and driving range. The results show that the model of pure electric vehicle dynamic system is feasible.
{"title":"Modeling and Simulation of Power System for Electric Vehicle","authors":"Yunxi Zhang, Kuan-sheng Zou, Jiabao Wu, Zilong Cheng, Linlin Hou, Jia Liu","doi":"10.1145/3517077.3517117","DOIUrl":"https://doi.org/10.1145/3517077.3517117","url":null,"abstract":"With the global energy crisis, the environmental problems become increasingly prominent, the traditional fuel vehicles have been unable to adapt to the requirements of the new era, while pure electric vehicles, which is clean and zero pollution, can be expected in the near future, which will replace the traditional fuel vehicles and become the main transport. Therefore, in recent years many research units have invested funds to develop pure electric vehicles, making pure electric vehicles have a rapid development. This paper mainly studies the dynamic system of pure electric vehicles. Based on the parameter selection and matching of motor, transmission structure and battery modeling design, a dynamic system model of electric vehicle with lithium iron phosphate battery as power source and permanent magnet synchronous motor as power conversion device was established. Finally, the dynamic system model is simulated and analyzed in terms of acceleration performance, climbing performance, maximum speed and driving range. The results show that the model of pure electric vehicle dynamic system is feasible.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128563411","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}
This paper proposes a trajectory recognition and tracking scheme based on machine vision, and on this basis, designs a tracking smart car suitable for most scenes with trajectory belts. A deflection calculation method based on the geometric position of the pixel is proposed. Firstly, the original image of the trajectory belt is segmented by adaptive threshold using the between-class variance method to obtain a binary image, and then the trajectory deflection angle is calculated by obtaining the geometric center point coordinates of the partial image of the trajectory belt. Compared with some existing tracking algorithms, this method can better adapt to different environments, and guarantee the real-time and accuracy of processing while occupying less computing resources. Experimental results show that this method can complete path recognition and tracking tasks, and it has a better tracking effect when the trajectory is curved.
{"title":"Design of Tracking Smart Car Based on LabVIEW","authors":"Zhaoyan Qian, Shuyan Ren, Hailong Duan","doi":"10.1145/3517077.3517110","DOIUrl":"https://doi.org/10.1145/3517077.3517110","url":null,"abstract":"This paper proposes a trajectory recognition and tracking scheme based on machine vision, and on this basis, designs a tracking smart car suitable for most scenes with trajectory belts. A deflection calculation method based on the geometric position of the pixel is proposed. Firstly, the original image of the trajectory belt is segmented by adaptive threshold using the between-class variance method to obtain a binary image, and then the trajectory deflection angle is calculated by obtaining the geometric center point coordinates of the partial image of the trajectory belt. Compared with some existing tracking algorithms, this method can better adapt to different environments, and guarantee the real-time and accuracy of processing while occupying less computing resources. Experimental results show that this method can complete path recognition and tracking tasks, and it has a better tracking effect when the trajectory is curved.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116833155","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：