Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.16
Xuandong Lei
The partial classification algorithm is mainly used to predict the popularity of network news and to explore the best model to predict the popularity of network news, so as to help network news service providers predict the popularity of news before publication. The popularity of network news is predicted according to the data analysis process: first, UCI data sets are pre-processed; secondly, feature selection is conducted for the data sets by using recursive feature elimination algorithm; then modelling and analysis is carried out, and finally through the confusion matrix, risk map and ROC (Receiver Operating Characteristic) chart performance evaluation, the performance of the model is compared and analyzed. Through comparison, it is found that random forest is the best prediction model.
{"title":"Prediction Model based on Internet News Buzzword Data","authors":"Xuandong Lei","doi":"10.2991/ICMEIT-19.2019.16","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.16","url":null,"abstract":"The partial classification algorithm is mainly used to predict the popularity of network news and to explore the best model to predict the popularity of network news, so as to help network news service providers predict the popularity of news before publication. The popularity of network news is predicted according to the data analysis process: first, UCI data sets are pre-processed; secondly, feature selection is conducted for the data sets by using recursive feature elimination algorithm; then modelling and analysis is carried out, and finally through the confusion matrix, risk map and ROC (Receiver Operating Characteristic) chart performance evaluation, the performance of the model is compared and analyzed. Through comparison, it is found that random forest is the best prediction model.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122193150","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.17
Xiaoming Chen
The quality of mechanical products depends on the quality of mechanical parts and the assembly quality of products, and the quality of parts is the basis of assembly quality. The quality of mechanical parts is related not only to the performance of materials, but also to the accuracy of machining and the quality of machined surface. The accuracy of machining is an important index to evaluate the quality of parts. Due to various reasons in the process of processing, there will always be some deviation between the actual processed parts and the ideal parts. This deviation is called machining error. Machining accuracy and machining error are actually evaluated from two viewpoints on the same problem of part quality. The high or low machining accuracy can be expressed by the small or large machining error. In actual production, the aim of improving the quality of parts processing is often achieved from the point of view of reducing processing errors.
{"title":"Data Analysis Model of Machining Accuracy Measurement Technology for Machine Parts","authors":"Xiaoming Chen","doi":"10.2991/ICMEIT-19.2019.17","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.17","url":null,"abstract":"The quality of mechanical products depends on the quality of mechanical parts and the assembly quality of products, and the quality of parts is the basis of assembly quality. The quality of mechanical parts is related not only to the performance of materials, but also to the accuracy of machining and the quality of machined surface. The accuracy of machining is an important index to evaluate the quality of parts. Due to various reasons in the process of processing, there will always be some deviation between the actual processed parts and the ideal parts. This deviation is called machining error. Machining accuracy and machining error are actually evaluated from two viewpoints on the same problem of part quality. The high or low machining accuracy can be expressed by the small or large machining error. In actual production, the aim of improving the quality of parts processing is often achieved from the point of view of reducing processing errors.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123097896","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.42
Lei An, Guozhu Zhao
Magnetic mass scaling Terfenol-D rods are preloaded bolt stress, permanent magnet biased magnetic field, the magnetic mass scaling Terfenol-D rods on the radial magnetic field, when to excitation coil pass excitation current, inside the coil is produced along with the changing magnetic field, current in the magnetic field Terfenol-D bar can produce movement, to promote sound plate.
{"title":"Finite Element Model Verification Magnetostrictive Terfenol-D Transducer","authors":"Lei An, Guozhu Zhao","doi":"10.2991/ICMEIT-19.2019.42","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.42","url":null,"abstract":"Magnetic mass scaling Terfenol-D rods are preloaded bolt stress, permanent magnet biased magnetic field, the magnetic mass scaling Terfenol-D rods on the radial magnetic field, when to excitation coil pass excitation current, inside the coil is produced along with the changing magnetic field, current in the magnetic field Terfenol-D bar can produce movement, to promote sound plate.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122353703","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.38
Liming Zhang, Zhijian Zhang, Yuan Chen, Qianyu Ji, Jian Wang
Target controllability is an interesting property of complex network and attracts many researchers from different fields. However, controlling large natural or technological networks is a great challenge. But it is not feasible and sometimes unnecessary to control the entire network, hence target control seems efficient in this situation. The greedy algorithm was developed and offers a good approximation to calculate the minimum number of driver nodes, where control signals are injected, for control the target nodes in the network. Based on the target control theory, we investigate the target controllability of directed Erdős-Rényi and the Barabási-Albert networks under attack or failure. Results show that degree-based node attack is more efficient than random attacks in directed BA networks on network target controllability but the similar in directed ER networks.
{"title":"Influence of Malfunction and Attack on Target Controllability","authors":"Liming Zhang, Zhijian Zhang, Yuan Chen, Qianyu Ji, Jian Wang","doi":"10.2991/ICMEIT-19.2019.38","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.38","url":null,"abstract":"Target controllability is an interesting property of complex network and attracts many researchers from different fields. However, controlling large natural or technological networks is a great challenge. But it is not feasible and sometimes unnecessary to control the entire network, hence target control seems efficient in this situation. The greedy algorithm was developed and offers a good approximation to calculate the minimum number of driver nodes, where control signals are injected, for control the target nodes in the network. Based on the target control theory, we investigate the target controllability of directed Erdős-Rényi and the Barabási-Albert networks under attack or failure. Results show that degree-based node attack is more efficient than random attacks in directed BA networks on network target controllability but the similar in directed ER networks.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126307316","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.59
Qian Chen, Dai Luo
With the development of information technology, VR panoramic display technology has been widely used in medical industry, game industry, entertainment industry and other industries. VR panoramic display technology has a very broad development prospect. In this paper, the characteristics of several VR panoramic display methods are analyzed, and the methods of panoramic display are compared in three directions: display form, production method and display media. According to the characteristics of panoramic display technology, several aspects are summarized and evaluated, and the advantages and disadvantages of various methods are analyzed.
{"title":"The Comparison and Analysis of Several Common VR Panoramic Display Methods","authors":"Qian Chen, Dai Luo","doi":"10.2991/ICMEIT-19.2019.59","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.59","url":null,"abstract":"With the development of information technology, VR panoramic display technology has been widely used in medical industry, game industry, entertainment industry and other industries. VR panoramic display technology has a very broad development prospect. In this paper, the characteristics of several VR panoramic display methods are analyzed, and the methods of panoramic display are compared in three directions: display form, production method and display media. According to the characteristics of panoramic display technology, several aspects are summarized and evaluated, and the advantages and disadvantages of various methods are analyzed.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126737769","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.23
Yang Bai
Virtual Reality (VR) technology is new technology in the computer field developed as a combination of computer graphics technology, multimedia technology, sensor technology, humancomputer interaction technology, network technology, three-dimensional display technology, simulation technology and other science and technology. It can provide users with a set of visual, auditory, tactile simulation of a 3D virtual environment. It has been applied in social entertainment, industrial design and manufacturing, virtual evaluation and many other aspects from the initial field of computer graphics. VR technology has developed rapidly in recent years and has been widely used in industrial field.
{"title":"VR Technology: Development Status and Typical Applications in Industry","authors":"Yang Bai","doi":"10.2991/ICMEIT-19.2019.23","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.23","url":null,"abstract":"Virtual Reality (VR) technology is new technology in the computer field developed as a combination of computer graphics technology, multimedia technology, sensor technology, humancomputer interaction technology, network technology, three-dimensional display technology, simulation technology and other science and technology. It can provide users with a set of visual, auditory, tactile simulation of a 3D virtual environment. It has been applied in social entertainment, industrial design and manufacturing, virtual evaluation and many other aspects from the initial field of computer graphics. VR technology has developed rapidly in recent years and has been widely used in industrial field.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193132","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.70
Zhanzhan Duan
{"title":"The Practice and Exploration of Virtual Roaming based on 3Ds Max","authors":"Zhanzhan Duan","doi":"10.2991/ICMEIT-19.2019.70","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.70","url":null,"abstract":"","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124653931","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.73
Xiaohan Zhang, Honggang Hu
{"title":"Optimization of Hash Function Implementation for Bitcoin Mining","authors":"Xiaohan Zhang, Honggang Hu","doi":"10.2991/ICMEIT-19.2019.73","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.73","url":null,"abstract":"","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129143737","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.12
Lin Li
{"title":"Improved Statistical Interference Model for Person Re-identification","authors":"Lin Li","doi":"10.2991/ICMEIT-19.2019.12","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.12","url":null,"abstract":"","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424224","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.129
Liwen Song, Jiahui Qi, Min Wu
Abstract. Applying Clustering to non-convex data is a challenging task, and traditional clustering algorithms often fail to achieve good results. In this paper, an improved spectral clustering algorithm based on density sensitivity (DSISC algorithm) is proposed. By using the ensemble selection strategy for the mean shift algorithm, relatively good optional clusters are selected from the nonconvex data sets, and then the number of clusters is transported into the spectral clustering algorithm as input, and the density-sensitive distance is used as the similarity measure. The experimental results give us clear information that the DSISC is better than traditional mean shift algorithm and spectral clustering algorithms in normalized mutual information clustering error rate.
{"title":"Research on Density Sensitive Clustering Algorithm for Non-convex Sets","authors":"Liwen Song, Jiahui Qi, Min Wu","doi":"10.2991/ICMEIT-19.2019.129","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.129","url":null,"abstract":"Abstract. Applying Clustering to non-convex data is a challenging task, and traditional clustering algorithms often fail to achieve good results. In this paper, an improved spectral clustering algorithm based on density sensitivity (DSISC algorithm) is proposed. By using the ensemble selection strategy for the mean shift algorithm, relatively good optional clusters are selected from the nonconvex data sets, and then the number of clusters is transported into the spectral clustering algorithm as input, and the density-sensitive distance is used as the similarity measure. The experimental results give us clear information that the DSISC is better than traditional mean shift algorithm and spectral clustering algorithms in normalized mutual information clustering error rate.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131327949","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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