Pub Date : 2024-02-01DOI: 10.53106/199115992024023501017
Bo-Wei Zhou Bo-Wei Zhou, Yong Huang Bo-Wei Zhou, Bin Jiang Yong Huang, Fei Geng Bin Jiang
Purpose: This article aims to address the issues of incomplete management models and slow convergence speed of optimization models in energy management in ship multi energy systems, and to construct a comprehensive dynamic optimization objective model. Method: Firstly, establish an optimization design model with the objective functions of energy storage system cost, grid power fluctuation smoothing, and energy supply and demand balance; Then, in the optimization process of the objective function, a bus voltage coordination control strategy is adopted, and for the parameter optimization problem in the strategy, a cuckoo search algorithm based on population feature feedback is used for optimization. Result: Through simulation experiments, the method proposed in this article provides effective guidance for capacity configuration and energy management of multi energy ship microgrids, improving quality and efficiency.
{"title":"Optimization of Ship Power Supply Network and Intelligent Energy Management Strategy Under Multiple Energy Modes","authors":"Bo-Wei Zhou Bo-Wei Zhou, Yong Huang Bo-Wei Zhou, Bin Jiang Yong Huang, Fei Geng Bin Jiang","doi":"10.53106/199115992024023501017","DOIUrl":"https://doi.org/10.53106/199115992024023501017","url":null,"abstract":"\u0000 Purpose: This article aims to address the issues of incomplete management models and slow convergence speed of optimization models in energy management in ship multi energy systems, and to construct a comprehensive dynamic optimization objective model. Method: Firstly, establish an optimization design model with the objective functions of energy storage system cost, grid power fluctuation smoothing, and energy supply and demand balance; Then, in the optimization process of the objective function, a bus voltage coordination control strategy is adopted, and for the parameter optimization problem in the strategy, a cuckoo search algorithm based on population feature feedback is used for optimization. Result: Through simulation experiments, the method proposed in this article provides effective guidance for capacity configuration and energy management of multi energy ship microgrids, improving quality and efficiency.\u0000 \u0000","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"277 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140468018","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 : 2023-12-01DOI: 10.53106/199115992023123406002
Fang Ren Fang Ren, Yi-Ping Yang Fang Ren, Zhe-Lin Zhang Yi-Ping Yang
Reversible data hiding (RDH) using pixel-value-ordering (PVO) is a well-established technique for embedding data in a cover image by modifying the maximum and minimum in each block. This paper proposes a dynamic hybrid RDH method based on PVO. Specifically, a 3×3 block according to its complexity and two thresholds T1 and T2 is classified as three levels: extremely smooth, smooth, and rough. Different processing algorithms are used for different levels. For rough blocks, they are ignored to avoid reducing the peak signal-to-noise ratio. For smooth blocks, the proposed method employs a block subdivision algorithm that can embed up to 6 bits of data. For extremely smooth blocks, no subdivision is done and a median pixel prediction algorithm is used to predict the remaining eight pixels, which can embed up to 8 bits of data. Moreover, this paper presents a new method that computes complexity by dynamically selecting relevant pixels to enhance block classification accuracy. Extensive experiments demonstrate that the proposed method outperforms existing PVO-based methods, offering larger embedding capacity while maintaining low distortion.
{"title":"Dynamic Hybrid Reversible Data Hiding Based on Pixel-value-ordering","authors":"Fang Ren Fang Ren, Yi-Ping Yang Fang Ren, Zhe-Lin Zhang Yi-Ping Yang","doi":"10.53106/199115992023123406002","DOIUrl":"https://doi.org/10.53106/199115992023123406002","url":null,"abstract":"Reversible data hiding (RDH) using pixel-value-ordering (PVO) is a well-established technique for embedding data in a cover image by modifying the maximum and minimum in each block. This paper proposes a dynamic hybrid RDH method based on PVO. Specifically, a 3×3 block according to its complexity and two thresholds T1 and T2 is classified as three levels: extremely smooth, smooth, and rough. Different processing algorithms are used for different levels. For rough blocks, they are ignored to avoid reducing the peak signal-to-noise ratio. For smooth blocks, the proposed method employs a block subdivision algorithm that can embed up to 6 bits of data. For extremely smooth blocks, no subdivision is done and a median pixel prediction algorithm is used to predict the remaining eight pixels, which can embed up to 8 bits of data. Moreover, this paper presents a new method that computes complexity by dynamically selecting relevant pixels to enhance block classification accuracy. Extensive experiments demonstrate that the proposed method outperforms existing PVO-based methods, offering larger embedding capacity while maintaining low distortion.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"138 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195062","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}
Double arm robots are increasingly being used in automated production due to their higher work efficiency and better flexibility. This article focuses on the research of visual recognition based robots applied in automated production lines. Firstly, the visual system has been improved and image labeled to make it more accurate in identifying targets. Then, path planning has been carried out for the coordinated movement of both arms. Through the unconstrained collaborative planning method of both arms, the efficiency and robustness of path planning have been improved. Finally, experimental simulation has been conducted to verify the effectiveness of visual assistance conditions. The effectiveness of the dual arm planning method.
{"title":"Research on Control Strategy of Two Arm Collaborative Robot Based on Vision","authors":"Bing-Yan Wei Bing-Yan Wei, Qian-Han Zhang Bing-Yan Wei, Xiao-Ying Wu Qian-Han Zhang","doi":"10.53106/199115992023123406014","DOIUrl":"https://doi.org/10.53106/199115992023123406014","url":null,"abstract":"Double arm robots are increasingly being used in automated production due to their higher work efficiency and better flexibility. This article focuses on the research of visual recognition based robots applied in automated production lines. Firstly, the visual system has been improved and image labeled to make it more accurate in identifying targets. Then, path planning has been carried out for the coordinated movement of both arms. Through the unconstrained collaborative planning method of both arms, the efficiency and robustness of path planning have been improved. Finally, experimental simulation has been conducted to verify the effectiveness of visual assistance conditions. The effectiveness of the dual arm planning method.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189947","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 : 2023-12-01DOI: 10.53106/199115992023123406008
Qi-Jun Luo Qi-Jun Luo, Zheng Li Qi-Jun Luo, Xin Tian Zheng Li, Hong-Ying Zhang Xin Tian
Aiming at the problem that target occlusion and other disturbances in complex background will reduce the tracking accuracy of moving target, and even lead to tracking failure, this paper proposes a moving target tracking algorithm based on the improved Camshift algorithm. Firstly, Gaussian background is used to model the foreground image to improve the backprojection image, and then the interference of backprojection is removed to improve the tracking effect in complex background conditions. Secondly, Kalman filtering is utilized to predict the trajectory, which further improves the tracking accuracy of Camshift algorithm in occlusion condition. A lot of experiments are processed, and the results show that the proposed algorithm could effectively improve the tracking accuracy and meet the real-time requirements.
{"title":"Moving Target Tracking Method Based on Improved Camshift","authors":"Qi-Jun Luo Qi-Jun Luo, Zheng Li Qi-Jun Luo, Xin Tian Zheng Li, Hong-Ying Zhang Xin Tian","doi":"10.53106/199115992023123406008","DOIUrl":"https://doi.org/10.53106/199115992023123406008","url":null,"abstract":"Aiming at the problem that target occlusion and other disturbances in complex background will reduce the tracking accuracy of moving target, and even lead to tracking failure, this paper proposes a moving target tracking algorithm based on the improved Camshift algorithm. Firstly, Gaussian background is used to model the foreground image to improve the backprojection image, and then the interference of backprojection is removed to improve the tracking effect in complex background conditions. Secondly, Kalman filtering is utilized to predict the trajectory, which further improves the tracking accuracy of Camshift algorithm in occlusion condition. A lot of experiments are processed, and the results show that the proposed algorithm could effectively improve the tracking accuracy and meet the real-time requirements.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195117","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 : 2023-12-01DOI: 10.53106/199115992023123406009
Zhongxue Yang Zhongxue Yang, Yiqin Bao Zhongxue Yang, Qiang Zhao Yiqin Bao, Hao Zheng Qiang Zhao, YuLu Bao Hao Zheng
At the beginning of the emergence of the concept of new engineering, its connotation interpretation and paradigm change theme have become the focus of attention. The new engineering should not only pay attention to the construction of new industries and new specialties under the new technology, but also pay attention to the continuous training effect of talents under the new engineering education. Discipline competition is an effective way to cultivate the innovation and entrepreneurship ability of college students and improve their comprehensive quality. In order to promote the sustainable and good construction of new engineering education in Colleges and universities, this paper uses PDCA cycle as a means to integrate multi-disciplinary technology through discipline competition, promote the ability of college students to solve complex engineering problems, and thus improve the teaching quality of new engineering. Practice has proved that PDCA is applied to discipline competition in a circular way, providing a feasible path for the implementation of new engineering. After three years of tracking assessment on three different classes of computer science, the graduation design score has been raised from about 82 points to about 85 points, and the students’ theoretical level, practical ability, innovation ability and discipline competition design level have been significantly improved.
{"title":"Practical Research on Promoting The Construction of New Engineering Education through Discipline Competition by PDCA Cycle","authors":"Zhongxue Yang Zhongxue Yang, Yiqin Bao Zhongxue Yang, Qiang Zhao Yiqin Bao, Hao Zheng Qiang Zhao, YuLu Bao Hao Zheng","doi":"10.53106/199115992023123406009","DOIUrl":"https://doi.org/10.53106/199115992023123406009","url":null,"abstract":"At the beginning of the emergence of the concept of new engineering, its connotation interpretation and paradigm change theme have become the focus of attention. The new engineering should not only pay attention to the construction of new industries and new specialties under the new technology, but also pay attention to the continuous training effect of talents under the new engineering education. Discipline competition is an effective way to cultivate the innovation and entrepreneurship ability of college students and improve their comprehensive quality. In order to promote the sustainable and good construction of new engineering education in Colleges and universities, this paper uses PDCA cycle as a means to integrate multi-disciplinary technology through discipline competition, promote the ability of college students to solve complex engineering problems, and thus improve the teaching quality of new engineering. Practice has proved that PDCA is applied to discipline competition in a circular way, providing a feasible path for the implementation of new engineering. After three years of tracking assessment on three different classes of computer science, the graduation design score has been raised from about 82 points to about 85 points, and the students’ theoretical level, practical ability, innovation ability and discipline competition design level have been significantly improved.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"222 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195384","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 : 2023-12-01DOI: 10.53106/199115992023123406003
Ling-Qing Feng Ling-Qing Feng, Yi Shao Ling-Qing Feng, Xue-Feng Deng Yi Shao, Yu-Jing Liu Xue-Feng Deng
During the period of COVID-19, there is a mixture of areas that are susceptible to COVID-19 infection and areas that are not susceptible to COVID-19 infection in cities. Blind wandering is often accompanied by the risk of infection. Hence, in order to improve the safety of people’s travel, this paper uses the hybrid Ant Colony Optimization-Genetic Algorithm (ACO-GA) to plan the central path of Taigu County. The volatilization coefficient of pheromone in Ant Colony Optimization (ACO) is changed dynamically. Pheromones in high-risk areas that are susceptible to epidemic infection are more volatile, while pheromones in low-risk areas that are less suscep-tible to epidemic infection are less volatile. Adjust the selection of “gene” mutation in Genetic Algorithm (GA). Vulner-able areas should be closed off to cut off the source of infection. As long as the shortest route which is of lower risk is formulated, people should stay away from high-risk areas that are susceptible to infection as much as possible to reduce the spread of COVID-19 and ensure the safety of people’s lives. The path under the influence of the COVID-19 is predicted and analyzed in the form of a simulation. The experimental results show that the algorithm can help to effectively avoid areas susceptible to the COVID-19 and reduce the risk of people getting sick.
{"title":"Path Planning Method in Taigu County Based on the Hybrid Ant Colony Optimization-Genetic Algorithm in the Context of COVID-19","authors":"Ling-Qing Feng Ling-Qing Feng, Yi Shao Ling-Qing Feng, Xue-Feng Deng Yi Shao, Yu-Jing Liu Xue-Feng Deng","doi":"10.53106/199115992023123406003","DOIUrl":"https://doi.org/10.53106/199115992023123406003","url":null,"abstract":"During the period of COVID-19, there is a mixture of areas that are susceptible to COVID-19 infection and areas that are not susceptible to COVID-19 infection in cities. Blind wandering is often accompanied by the risk of infection. Hence, in order to improve the safety of people’s travel, this paper uses the hybrid Ant Colony Optimization-Genetic Algorithm (ACO-GA) to plan the central path of Taigu County. The volatilization coefficient of pheromone in Ant Colony Optimization (ACO) is changed dynamically. Pheromones in high-risk areas that are susceptible to epidemic infection are more volatile, while pheromones in low-risk areas that are less suscep-tible to epidemic infection are less volatile. Adjust the selection of “gene” mutation in Genetic Algorithm (GA). Vulner-able areas should be closed off to cut off the source of infection. As long as the shortest route which is of lower risk is formulated, people should stay away from high-risk areas that are susceptible to infection as much as possible to reduce the spread of COVID-19 and ensure the safety of people’s lives. The path under the influence of the COVID-19 is predicted and analyzed in the form of a simulation. The experimental results show that the algorithm can help to effectively avoid areas susceptible to the COVID-19 and reduce the risk of people getting sick.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"6 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194306","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 : 2023-12-01DOI: 10.53106/199115992023123406013
Ji-Cheng Yang Ji-Cheng Yang, Xue-Meng Du Ji-Cheng Yang
In response to the issue of some keywords not being logged in or having inaccurate semantics in current public opinion monitoring, this article uses an improved word segmentation method to extract semantic features. In response to the current issue of unable to control the emotional direction of public opinion comments in public opinion analysis, an emotion analysis model Bi_GRU is proposed for sentiment analysis. Finally, using students’ commonly used Weibo as a verification scenario, sensitive information such as “food safety” and “campus bullying” is screened to control the emotional direction of college students. The final proof is that the method proposed in this article can effectively supervise public opinion in a centralized environment and provide effective means for student management.
{"title":"Strategies for Monitoring and Managing Online Public Opinion in Universities Under the Background of Big Data","authors":"Ji-Cheng Yang Ji-Cheng Yang, Xue-Meng Du Ji-Cheng Yang","doi":"10.53106/199115992023123406013","DOIUrl":"https://doi.org/10.53106/199115992023123406013","url":null,"abstract":"In response to the issue of some keywords not being logged in or having inaccurate semantics in current public opinion monitoring, this article uses an improved word segmentation method to extract semantic features. In response to the current issue of unable to control the emotional direction of public opinion comments in public opinion analysis, an emotion analysis model Bi_GRU is proposed for sentiment analysis. Finally, using students’ commonly used Weibo as a verification scenario, sensitive information such as “food safety” and “campus bullying” is screened to control the emotional direction of college students. The final proof is that the method proposed in this article can effectively supervise public opinion in a centralized environment and provide effective means for student management.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"26 9-10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192118","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}
It has been over two years since the outburst of the COVID-19 pandemic. Currently, China has entered into a normalization stage and police stations are still in the endeavor of improving their epidemic prevention and control measures. However, grassroots police stations are still backward in epidemic prevention and control, and lack of response measures for each period of the epidemic. This paper uses time series models to predict the epidemic trend and analyze the measures undertaken by the police stations. In the process of data pretreatment, this paper focuses on the data processing of the epidemic control period. Then the epidemic trend is predicted based on five different time series models and two different time intervals. The results indicate that the tertiary exponential smoothing prediction model with day as the interval is the best and accurate prediction method. According to the prediction model, it can be determined the current stage of the epidemic development by time points, so as to give targeted reference for the police stations. The basic idea in using various time series models is to predict the accumulated number of confirmed cases based on the existing data not only to help, guide and refine the existing epidemic measures but also offer suggestions for epidemic prevention and control by police stations in response to each period of the epidemic. Based on the findings exhaustive recommendations are proposed for real-time and targeted epidemic prevention and control by police administration.
{"title":"Analysis and Prediction of Epidemic Prevention and Control by Police Stations Based on Time Series","authors":"Mingyue Qiu Mingyue Qiu, Xueying Zhang Mingyue Qiu, Xinmeng Wang Xueying Zhang","doi":"10.53106/199115992023123406006","DOIUrl":"https://doi.org/10.53106/199115992023123406006","url":null,"abstract":"It has been over two years since the outburst of the COVID-19 pandemic. Currently, China has entered into a normalization stage and police stations are still in the endeavor of improving their epidemic prevention and control measures. However, grassroots police stations are still backward in epidemic prevention and control, and lack of response measures for each period of the epidemic. This paper uses time series models to predict the epidemic trend and analyze the measures undertaken by the police stations. In the process of data pretreatment, this paper focuses on the data processing of the epidemic control period. Then the epidemic trend is predicted based on five different time series models and two different time intervals. The results indicate that the tertiary exponential smoothing prediction model with day as the interval is the best and accurate prediction method. According to the prediction model, it can be determined the current stage of the epidemic development by time points, so as to give targeted reference for the police stations. The basic idea in using various time series models is to predict the accumulated number of confirmed cases based on the existing data not only to help, guide and refine the existing epidemic measures but also offer suggestions for epidemic prevention and control by police stations in response to each period of the epidemic. Based on the findings exhaustive recommendations are proposed for real-time and targeted epidemic prevention and control by police administration.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139188497","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 : 2023-12-01DOI: 10.53106/199115992023123406012
Mu-Zhuo Zhang Mu-Zhuo Zhang, Peng-Jie Du Mu-Zhuo Zhang
In response to the problem that traditional fault diagnosis methods mainly rely on manual search, this paper proposes an improved convolutional neural network based three item asynchronous motor fault diagnosis method. Taking the motor rotor bar fault as the research object, in the early stage of the fault, the characteristic signal is easily mixed with the motor fundamental frequency signal. Therefore, first, the current characteristics of the motor rotor bar fault are analyzed, and then the motor vibration signal is converted into a time-frequency map using wavelet analysis method. Then, based on the superpixel segmentation method, the image is generated into a superpixel block. Finally, the image information is input into an improved neural network, The improved neural network can adaptively extract fault features. The experimental results show that the method described in this article can improve the diagnostic ability for rotor bar breaking faults, and has a higher fault recognition accuracy compared to traditional methods.
{"title":"Research on Three Common Fault Diagnosis Methods for AC Asynchronous Motors Based on Deep Learning","authors":"Mu-Zhuo Zhang Mu-Zhuo Zhang, Peng-Jie Du Mu-Zhuo Zhang","doi":"10.53106/199115992023123406012","DOIUrl":"https://doi.org/10.53106/199115992023123406012","url":null,"abstract":"In response to the problem that traditional fault diagnosis methods mainly rely on manual search, this paper proposes an improved convolutional neural network based three item asynchronous motor fault diagnosis method. Taking the motor rotor bar fault as the research object, in the early stage of the fault, the characteristic signal is easily mixed with the motor fundamental frequency signal. Therefore, first, the current characteristics of the motor rotor bar fault are analyzed, and then the motor vibration signal is converted into a time-frequency map using wavelet analysis method. Then, based on the superpixel segmentation method, the image is generated into a superpixel block. Finally, the image information is input into an improved neural network, The improved neural network can adaptively extract fault features. The experimental results show that the method described in this article can improve the diagnostic ability for rotor bar breaking faults, and has a higher fault recognition accuracy compared to traditional methods.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"57 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191402","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 : 2023-12-01DOI: 10.53106/199115992023123406010
Ming Zhao Ming Zhao, Zhen Wang Ming Zhao, Yalong Li Zhen Wang, Xiumei Qin Yalong Li
In the domain of cloud computing and network resource virtualization, existing fusion techniques for containers and virtual machines suffer from high energy consumption, inflexible scheduling requirements, and suboptimal resource utilization. This study critically examined the current methods, accounted for the contemporary requirements, and developed a novel strategy aimed at maximizing resource utilization while minimizing energy consumption. Comprehensive experiments illustrate the superiority of our approach over state-of-the-art fusion strategies such as Kubernetes+Kubevirt and OpenStack+Kubernetes, demonstrating significant reductions in energy consumption, improved resource utilization, and enhanced system performance.
{"title":"Mitigating Cloud Computing Virtualization Performance Problems with an Upgraded Logical Convergence Strategy","authors":"Ming Zhao Ming Zhao, Zhen Wang Ming Zhao, Yalong Li Zhen Wang, Xiumei Qin Yalong Li","doi":"10.53106/199115992023123406010","DOIUrl":"https://doi.org/10.53106/199115992023123406010","url":null,"abstract":"In the domain of cloud computing and network resource virtualization, existing fusion techniques for containers and virtual machines suffer from high energy consumption, inflexible scheduling requirements, and suboptimal resource utilization. This study critically examined the current methods, accounted for the contemporary requirements, and developed a novel strategy aimed at maximizing resource utilization while minimizing energy consumption. Comprehensive experiments illustrate the superiority of our approach over state-of-the-art fusion strategies such as Kubernetes+Kubevirt and OpenStack+Kubernetes, demonstrating significant reductions in energy consumption, improved resource utilization, and enhanced system performance.","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"5 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192436","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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