Pub Date : 2021-11-01DOI: 10.1109/CONF-SPML54095.2021.00065
Xingzhi Liu, Yan Zeng, Wenli Chen, Yu Su, Ruiqiong Wang
Priority-based scheduling algorithms have a wide range of applications in real-time systems. In today’s commonly used task scheduling algorithms, only the shortest scheduling time is used as the only criterion, while ignoring the importance of task priority. Task allocation among multiple cores is also difficult to balance. At this time, traditional priority scheduling shows great limitations. In order to build a preemptive priority scheduling algorithm for load balancing among multiple cores, this paper first studies the scheduling principles of particle swarm algorithm and annealing algorithm among CPU nodes, and simulates the traditional scheduling algorithm that may appear before the optimal solution for scheduling is obtained. Problem, and then extract the mathematical model of operating system scheduling. Based on the particle swarm algorithm and combined with the scheduling advantages of other heuristic algorithms, an optimized preemptive priority scheduling algorithm based on particle swarm algorithm is proposed, which completes multitasking among multiple cores. Based on the priority of the process, the process is assigned to a more suitable processor core, which improves the efficiency of priority scheduling of heterogeneous multi-core operating systems. Finally, the effectiveness of the algorithm is verified by simulation experiments.
{"title":"Multi-Core Real-Time Scheduling Algorithm Based on Particle Swarm optimization Algorithm","authors":"Xingzhi Liu, Yan Zeng, Wenli Chen, Yu Su, Ruiqiong Wang","doi":"10.1109/CONF-SPML54095.2021.00065","DOIUrl":"https://doi.org/10.1109/CONF-SPML54095.2021.00065","url":null,"abstract":"Priority-based scheduling algorithms have a wide range of applications in real-time systems. In today’s commonly used task scheduling algorithms, only the shortest scheduling time is used as the only criterion, while ignoring the importance of task priority. Task allocation among multiple cores is also difficult to balance. At this time, traditional priority scheduling shows great limitations. In order to build a preemptive priority scheduling algorithm for load balancing among multiple cores, this paper first studies the scheduling principles of particle swarm algorithm and annealing algorithm among CPU nodes, and simulates the traditional scheduling algorithm that may appear before the optimal solution for scheduling is obtained. Problem, and then extract the mathematical model of operating system scheduling. Based on the particle swarm algorithm and combined with the scheduling advantages of other heuristic algorithms, an optimized preemptive priority scheduling algorithm based on particle swarm algorithm is proposed, which completes multitasking among multiple cores. Based on the priority of the process, the process is assigned to a more suitable processor core, which improves the efficiency of priority scheduling of heterogeneous multi-core operating systems. Finally, the effectiveness of the algorithm is verified by simulation experiments.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546011","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 : 2021-11-01DOI: 10.1109/CONF-SPML54095.2021.00020
Pengcheng He
With the rapid development of wireless broadband communication technology, broadband amplifier plays more important role in the field of wireless broadband communication. Distributed amplifiers are widely used in broadband amplification systems because of their wide operating frequency range, moderate gain and good matching characteristic. This paper studies the design theory of distributed amplifier based on CMOS process and the advantages of some improved distributed amplifiers.
{"title":"Research on Distributed Amplifier Circuit Based on CMOS Process","authors":"Pengcheng He","doi":"10.1109/CONF-SPML54095.2021.00020","DOIUrl":"https://doi.org/10.1109/CONF-SPML54095.2021.00020","url":null,"abstract":"With the rapid development of wireless broadband communication technology, broadband amplifier plays more important role in the field of wireless broadband communication. Distributed amplifiers are widely used in broadband amplification systems because of their wide operating frequency range, moderate gain and good matching characteristic. This paper studies the design theory of distributed amplifier based on CMOS process and the advantages of some improved distributed amplifiers.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694132","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 : 2021-11-01DOI: 10.1109/CONF-SPML54095.2021.00032
Zimutian Yang
Mobile cloud computing (MCC) has been born out of cloud and mobile computing due to the growing demand for mobile platforms. Over the past few years, MCC related work focused on building the architecture, and in recent years it had conducted major research on MCC’s actual productivity and security issues. For example, intrusion detection system, location-based service, data security, etc., but there is no paper to summarize and study the security issues of the entire MCC. This paper elaborates the security issues of MCC from three levels of MCC and five security aspects, including privacy security, offloading security, authentication security, device security and other security issues. Describe the various levels of security problems and the solutions to those problems. Finally, this paper looks forward to the future development direction of MCC.
{"title":"A Survey of Security Issues in Mobile Cloud Computing","authors":"Zimutian Yang","doi":"10.1109/CONF-SPML54095.2021.00032","DOIUrl":"https://doi.org/10.1109/CONF-SPML54095.2021.00032","url":null,"abstract":"Mobile cloud computing (MCC) has been born out of cloud and mobile computing due to the growing demand for mobile platforms. Over the past few years, MCC related work focused on building the architecture, and in recent years it had conducted major research on MCC’s actual productivity and security issues. For example, intrusion detection system, location-based service, data security, etc., but there is no paper to summarize and study the security issues of the entire MCC. This paper elaborates the security issues of MCC from three levels of MCC and five security aspects, including privacy security, offloading security, authentication security, device security and other security issues. Describe the various levels of security problems and the solutions to those problems. Finally, this paper looks forward to the future development direction of MCC.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126989425","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 : 2021-10-12DOI: 10.1109/CONF-SPML54095.2021.00062
Fenglei Gu, Duoji Jiang
This work presents a supervised method for generating a classifier model of the stances held by Chinese-speaking politicians and other Twitter users. Many previous works of political tweets prediction exist on English tweets, but to the best of our knowledge, this is the first work that builds prediction model on Chinese political tweets. It firstly collects data by scraping tweets of famous political Figure and their related users. It secondly defines the political spectrum in two groups: the group that shows approvals to the Chinese political establishment and the group that does not. Since there is not space between words in Chinese to identify the independent words, it then completes segmentation and vectorization by Jieba, a Chinese segmentation tool. Finally, it trains the data collected from political tweets and produce a classification model with high accuracy for understanding users’ political stances from their tweets on Twitter.
{"title":"Prediction of Political Leanings of Chinese Speaking Twitter Users","authors":"Fenglei Gu, Duoji Jiang","doi":"10.1109/CONF-SPML54095.2021.00062","DOIUrl":"https://doi.org/10.1109/CONF-SPML54095.2021.00062","url":null,"abstract":"This work presents a supervised method for generating a classifier model of the stances held by Chinese-speaking politicians and other Twitter users. Many previous works of political tweets prediction exist on English tweets, but to the best of our knowledge, this is the first work that builds prediction model on Chinese political tweets. It firstly collects data by scraping tweets of famous political Figure and their related users. It secondly defines the political spectrum in two groups: the group that shows approvals to the Chinese political establishment and the group that does not. Since there is not space between words in Chinese to identify the independent words, it then completes segmentation and vectorization by Jieba, a Chinese segmentation tool. Finally, it trains the data collected from political tweets and produce a classification model with high accuracy for understanding users’ political stances from their tweets on Twitter.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824467","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 : 2021-10-08DOI: 10.1109/CONF-SPML54095.2021.00049
Mengxi Guo, Dangqing Huang, Xiaodong Xie
Graphic design is ubiquitous in people's daily lives. For graphic design, the most time-consuming task is laying out various components in the interface. Repetitive manual layout design will waste a lot of time for professional graphic designers. Existing templates are usually rudimentary and not suitable for most designs, reducing efficiency and limiting creativity. This paper implemented the Transformer model and conditional variational autoencoder (CVAE) to the graphic design layout generation task. It proposed an end-to-end graphic design layout generation model named LayoutT-CVAE. We also proposed element disentanglement and feature-based disentanglement strategies and introduce new graphic design principles and similarity metrics into the model, which significantly increased the controllability and interpretability of the deep model. Compared with the existing state-of-art models, the layout generated by ours performs better on many metrics.
{"title":"The Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE","authors":"Mengxi Guo, Dangqing Huang, Xiaodong Xie","doi":"10.1109/CONF-SPML54095.2021.00049","DOIUrl":"https://doi.org/10.1109/CONF-SPML54095.2021.00049","url":null,"abstract":"Graphic design is ubiquitous in people's daily lives. For graphic design, the most time-consuming task is laying out various components in the interface. Repetitive manual layout design will waste a lot of time for professional graphic designers. Existing templates are usually rudimentary and not suitable for most designs, reducing efficiency and limiting creativity. This paper implemented the Transformer model and conditional variational autoencoder (CVAE) to the graphic design layout generation task. It proposed an end-to-end graphic design layout generation model named LayoutT-CVAE. We also proposed element disentanglement and feature-based disentanglement strategies and introduce new graphic design principles and similarity metrics into the model, which significantly increased the controllability and interpretability of the deep model. Compared with the existing state-of-art models, the layout generated by ours performs better on many metrics.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129874778","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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