Pub Date : 2020-12-01DOI: 10.1109/icmcce51767.2020.00520
Qinrong Guo
new media has promoted many short network videos, which are often produced and published by self-media. Short video has won the love of many young people because of the length of time and the amount of information. They like to imitate the popular cultural elements created in short video. These popular elements have a great influence on human values, especially on the values of contemporary college students. Some short videos cause positive social energy effect, but a considerable number of short videos advocate entertainment too much, resulting in misinterpretation of mainstream values and hindering college students from shaping correct values. Relevant institutions should reasonably monitor and control the negative effects caused by short video, so as to carry forward the mainstream values among college students, avoid negative public opinion affecting their observation of society, and finally cause their personality defects.
{"title":"The Influence of Short Video on College Students' Values from the Perspective of New Media","authors":"Qinrong Guo","doi":"10.1109/icmcce51767.2020.00520","DOIUrl":"https://doi.org/10.1109/icmcce51767.2020.00520","url":null,"abstract":"new media has promoted many short network videos, which are often produced and published by self-media. Short video has won the love of many young people because of the length of time and the amount of information. They like to imitate the popular cultural elements created in short video. These popular elements have a great influence on human values, especially on the values of contemporary college students. Some short videos cause positive social energy effect, but a considerable number of short videos advocate entertainment too much, resulting in misinterpretation of mainstream values and hindering college students from shaping correct values. Relevant institutions should reasonably monitor and control the negative effects caused by short video, so as to carry forward the mainstream values among college students, avoid negative public opinion affecting their observation of society, and finally cause their personality defects.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"871 1","pages":"2414-2417"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76970601","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00251
Wang Xin
With the injection of a large amount of electricity from photovoltaic (PV) panels, there is an increasing impact on power girds. In order to lessen the uncertainties of photovoltaic output power, a Long-Short Term Memory (LSTM) Neural Networks, based on Whale Optimization Algorithm (WOA), is proposed to predict the photovoltaic generated power. First of all, the data is pre-processed to analyze gray relativity, which helps reduce the dimensionality of variables. Then the similar day samples are given by selected input variables and Gray Relativity Analysis. Moreover, the global optimization is improved, uncertainties reduced, for WOA is used to optimize network levels and learning rate of LSTM Neural Networks. Finally, optimized LSTM Neural Networks are used to predict PV output power compared to selected samples on similar days. The prediction results prove the model efficient.
{"title":"Forecast of photovoltaic generated power based on WOA-LSTM","authors":"Wang Xin","doi":"10.1109/ICMCCE51767.2020.00251","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00251","url":null,"abstract":"With the injection of a large amount of electricity from photovoltaic (PV) panels, there is an increasing impact on power girds. In order to lessen the uncertainties of photovoltaic output power, a Long-Short Term Memory (LSTM) Neural Networks, based on Whale Optimization Algorithm (WOA), is proposed to predict the photovoltaic generated power. First of all, the data is pre-processed to analyze gray relativity, which helps reduce the dimensionality of variables. Then the similar day samples are given by selected input variables and Gray Relativity Analysis. Moreover, the global optimization is improved, uncertainties reduced, for WOA is used to optimize network levels and learning rate of LSTM Neural Networks. Finally, optimized LSTM Neural Networks are used to predict PV output power compared to selected samples on similar days. The prediction results prove the model efficient.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"42 1","pages":"1143-1147"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78101326","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00283
Xinguang Xiao, Guangcun Wei, Wansheng Rong, Xiang Liu
Visual question answering is a new research direction that combines computer vision and natural language processing. Some recent research uses image interpretation to reason about answers. However, the accuracy of the answers is not satisfactory due to insufficient understanding of image content. This paper proposes an improved VQA method which applies higher-quality image high-level semantics based an improved visual model, thereby optimizing the performance of answer prediction. Firstly, we use the improved Faster-RCNN model to extract more precise attended objects from images. Then, the corresponding visual features are used to obtain high-level semantic knowledge (refined image captions and attended high-level attributes) in images. Finally, the reasoning module uses the joint features of two semantic knowledge and questions to predict the final answers. We conducted extensive experiments on the public datasets and the results of experiments were analyzed to illustrate effectiveness of the method.
{"title":"The Higher-quality High-level Semantics based on Improved Visual Model for VQA","authors":"Xinguang Xiao, Guangcun Wei, Wansheng Rong, Xiang Liu","doi":"10.1109/ICMCCE51767.2020.00283","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00283","url":null,"abstract":"Visual question answering is a new research direction that combines computer vision and natural language processing. Some recent research uses image interpretation to reason about answers. However, the accuracy of the answers is not satisfactory due to insufficient understanding of image content. This paper proposes an improved VQA method which applies higher-quality image high-level semantics based an improved visual model, thereby optimizing the performance of answer prediction. Firstly, we use the improved Faster-RCNN model to extract more precise attended objects from images. Then, the corresponding visual features are used to obtain high-level semantic knowledge (refined image captions and attended high-level attributes) in images. Finally, the reasoning module uses the joint features of two semantic knowledge and questions to predict the final answers. We conducted extensive experiments on the public datasets and the results of experiments were analyzed to illustrate effectiveness of the method.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"29 1","pages":"1293-1297"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75578019","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00211
W. Ding, Wenqi Chang, He Gan, Xinhong Xiong
China has the largest aging population in the world, and the degree of aging is increasing year by year. Through the investigation with the elderly, it is found that the elderly's bathing problems are still plaguing families. Therefore, based on the ergonomics, we use three-dimensional virtual design, static and dynamic simulation analysis and other technical methods to innovate mechanism and cooperate with intelligent control to design this multi-functional intelligent bathing machine for the elderly which combines automatic water temperature control system, automatic pressure control system, and real-time heart rate monitoring system. They can coordinate with the intelligent voice assistant, solve the bathing problem of the elderly who live alone efficiently.
{"title":"multi-functional intelligent bathing machine for the elderly","authors":"W. Ding, Wenqi Chang, He Gan, Xinhong Xiong","doi":"10.1109/ICMCCE51767.2020.00211","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00211","url":null,"abstract":"China has the largest aging population in the world, and the degree of aging is increasing year by year. Through the investigation with the elderly, it is found that the elderly's bathing problems are still plaguing families. Therefore, based on the ergonomics, we use three-dimensional virtual design, static and dynamic simulation analysis and other technical methods to innovate mechanism and cooperate with intelligent control to design this multi-functional intelligent bathing machine for the elderly which combines automatic water temperature control system, automatic pressure control system, and real-time heart rate monitoring system. They can coordinate with the intelligent voice assistant, solve the bathing problem of the elderly who live alone efficiently.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"44 1","pages":"966-969"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77943259","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00163
Zhu Gongsheng, Pei Chun-mei, Ding Jiang, S. Junfeng
The traditional static path planning algorithm for automatic driving has the problems of insufficient robustness and unstable body control under complex road conditions. It can make full use of the reinforcement learning related technology to carry out vehicle decision-making and control, plan the dynamic obstacle avoidance route and enhance the driving safety. In this paper, a vehicle control algorithm is designed on the TORCS (The Open Racing Car Simulator) simulation platform combined with DDPG (Deep Deterministic Policy Gradient) algorithm. Combined with actor critic algorithm, experience playback and independent target network are added to improve the effect of deep reinforcement learning, with better robustness. And by designing a reasonable reward function, the car can be more stable in the driving process. In the simulation experiment, the algorithm is verified. The experimental results show that the algorithm designed in this paper can make the simulation car get more stable and effective learning in less training time, that is, the research idea of this paper is feasible.
传统的自动驾驶静态路径规划算法在复杂路况下存在鲁棒性不足、车身控制不稳定等问题。它可以充分利用强化学习相关技术进行车辆决策控制，规划动态避障路线，提高行车安全性。本文在TORCS (the Open Racing Car Simulator)仿真平台上结合DDPG (Deep Deterministic Policy Gradient)算法设计了一种车辆控制算法。结合actor critic算法，增加了经验回放和独立目标网络，提高了深度强化学习的效果，鲁棒性更好。并通过设计合理的奖励函数，使汽车在行驶过程中更加稳定。仿真实验验证了该算法的有效性。实验结果表明，本文设计的算法可以使仿真小车在更短的训练时间内获得更稳定有效的学习，即本文的研究思路是可行的。
{"title":"Deep Deterministic Policy Gradient Algorithm based Lateral and Longitudinal Control for Autonomous Driving","authors":"Zhu Gongsheng, Pei Chun-mei, Ding Jiang, S. Junfeng","doi":"10.1109/ICMCCE51767.2020.00163","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00163","url":null,"abstract":"The traditional static path planning algorithm for automatic driving has the problems of insufficient robustness and unstable body control under complex road conditions. It can make full use of the reinforcement learning related technology to carry out vehicle decision-making and control, plan the dynamic obstacle avoidance route and enhance the driving safety. In this paper, a vehicle control algorithm is designed on the TORCS (The Open Racing Car Simulator) simulation platform combined with DDPG (Deep Deterministic Policy Gradient) algorithm. Combined with actor critic algorithm, experience playback and independent target network are added to improve the effect of deep reinforcement learning, with better robustness. And by designing a reasonable reward function, the car can be more stable in the driving process. In the simulation experiment, the algorithm is verified. The experimental results show that the algorithm designed in this paper can make the simulation car get more stable and effective learning in less training time, that is, the research idea of this paper is feasible.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"7 1","pages":"740-745"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75592385","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00382
Gan Chen, Bin Wen
Traditional painting style classification method based on image entropy cannot be directly applied to the classification of digital painting style. After analyzing the similarities and differences between the two types of works in the existing literature, this paper sets additional saturation weighting to improve the previous color entropy calculation method and eliminates the contour entropy calculation to describe the digital painting image style better. The experimental results show that this method can classify the styles of digital paintings more accurately.
{"title":"An Improved Image Entropy Algorithm Suitable for Digital Painting Style","authors":"Gan Chen, Bin Wen","doi":"10.1109/ICMCCE51767.2020.00382","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00382","url":null,"abstract":"Traditional painting style classification method based on image entropy cannot be directly applied to the classification of digital painting style. After analyzing the similarities and differences between the two types of works in the existing literature, this paper sets additional saturation weighting to improve the previous color entropy calculation method and eliminates the contour entropy calculation to describe the digital painting image style better. The experimental results show that this method can classify the styles of digital paintings more accurately.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"25 1","pages":"1742-1746"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72875471","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00529
Yang-chuan Zhou, Ning-yun Dan, Wen-liang Wu, Jia-ying He
There are different periodic and fixed points under the iteration of biquadratic sum of digits of positive integer in different carry systems. There are three fixed points and one 2-circle in quanternary, seven fixed points in octonary, two fixed points, one 2-circle and one 6-circle in hexadecimal system.
{"title":"On the Black-Hole Numbers of the Iteration of Digital Biquadratic Sum in the Quanternary, Octonary or Hexadecimal System","authors":"Yang-chuan Zhou, Ning-yun Dan, Wen-liang Wu, Jia-ying He","doi":"10.1109/ICMCCE51767.2020.00529","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00529","url":null,"abstract":"There are different periodic and fixed points under the iteration of biquadratic sum of digits of positive integer in different carry systems. There are three fixed points and one 2-circle in quanternary, seven fixed points in octonary, two fixed points, one 2-circle and one 6-circle in hexadecimal system.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"34 1","pages":"2453-2456"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72935016","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00279
Liang Kexin, Li Tiantian
This paper proposes an adaptive Robust Extended Klaman filter for a class of non-linear descriptor systems with unknown system noise. Firstly, a robust bound is given to decrease the influence of the linearization error on the estimation accuracy; an adaptive algorithm is introduced to implement an unbiased estimation of the noise, then; an numeral example is given to show the effectiveness of the method at last.
{"title":"Fault Estimation for A Class of Descriptor Systems - An Adaptive Robust Extended Kalman Filter Approach","authors":"Liang Kexin, Li Tiantian","doi":"10.1109/ICMCCE51767.2020.00279","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00279","url":null,"abstract":"This paper proposes an adaptive Robust Extended Klaman filter for a class of non-linear descriptor systems with unknown system noise. Firstly, a robust bound is given to decrease the influence of the linearization error on the estimation accuracy; an adaptive algorithm is introduced to implement an unbiased estimation of the noise, then; an numeral example is given to show the effectiveness of the method at last.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"40 1","pages":"1274-1278"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73167326","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00348
Da-Hai Tang
The advent of the Internet + era has not only caused changes in the flow of information, but has also affected the form of modern marketing management to a considerable extent. The characteristics of the socialist market economy determine that the market has a direct impact on the production and sales of enterprises. Therefore, marketing in the Internet era needs to fully conform to the characteristics of the market economy, and only in this way can it meet the needs of diversified market development. With the development of informatization in many industries, more and more companies are aware of the role of marketing management informatization for their own development, and are actively applying Internet information technology, and the overall effect is very significant. This article will focus on the analysis and research of the information development path of marketing in the Internet + era, in order to provide a reference for relevant units.
{"title":"Informatization Development and Management of Marketing in the Internet + Era","authors":"Da-Hai Tang","doi":"10.1109/ICMCCE51767.2020.00348","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00348","url":null,"abstract":"The advent of the Internet + era has not only caused changes in the flow of information, but has also affected the form of modern marketing management to a considerable extent. The characteristics of the socialist market economy determine that the market has a direct impact on the production and sales of enterprises. Therefore, marketing in the Internet era needs to fully conform to the characteristics of the market economy, and only in this way can it meet the needs of diversified market development. With the development of informatization in many industries, more and more companies are aware of the role of marketing management informatization for their own development, and are actively applying Internet information technology, and the overall effect is very significant. This article will focus on the analysis and research of the information development path of marketing in the Internet + era, in order to provide a reference for relevant units.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"17 1","pages":"1590-1593"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74502977","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00399
Xianyu Xia
With the continuous development of information technology, artificial intelligence, big data and other technologies are gradually integrated into daily production and life. The Internet of Things technology based on information technology has also received many new development opportunities, innovating people's production methods. This article summarizes the technical content of the Internet of Things based on previous work experience. The author discusses the application form of the Internet of Things based on information technology from six aspects: smart home and smart transportation, smart city, Internet of Things industry, Internet of Things security, communication transmission mode, and smart warehouse management system.
{"title":"Internet of Things Research and Application of Information Technology","authors":"Xianyu Xia","doi":"10.1109/ICMCCE51767.2020.00399","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00399","url":null,"abstract":"With the continuous development of information technology, artificial intelligence, big data and other technologies are gradually integrated into daily production and life. The Internet of Things technology based on information technology has also received many new development opportunities, innovating people's production methods. This article summarizes the technical content of the Internet of Things based on previous work experience. The author discusses the application form of the Internet of Things based on information technology from six aspects: smart home and smart transportation, smart city, Internet of Things industry, Internet of Things security, communication transmission mode, and smart warehouse management system.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"57 1","pages":"1818-1821"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74353709","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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