Pub Date : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00038
Min Zeng, Shengjian Wu, Fang Li, Guosheng Hu
In recent years, image detection based on deep learning has become one of the main technologies of intelligent retail container (IRC). Fisheye lens is widely adopted as the imaging equipment of the IRC due to its short focal length, large viewing angle and small volume. Aiming at the distortion of fisheye lens imaging, an innovative "center coordinate correcting and clustering algorithm (CCCCA)" based on spherical double longitude model is proposed to correct the classification error of the hard sample in fisheye image predicted by neural network model. First, the YOLOv4Tiny model is used to detect the fisheye image of the IRC to gain the bounding boxes ("bboxes"). Second, the center and radius of the fisheye image are obtained by using the Hough circle algorithm in OpenCV, and the fisheye image is orthogonally mapped to the target plane by means of the spherical double longitude model so as to get the correction center coordinates of the bboxes. Finally, the x-axis coordinates of the correction bbox’s centers are clustered to determine the categories of the hard samples ("HardSampleSet"). Experimental results show that the CCCCA can reduce the top-1 error rate ("top-1 err.") of the HardSampleSet in our project by 5.57%.
{"title":"Application of Fisheye Image Correction in Intelligent Retail Containers","authors":"Min Zeng, Shengjian Wu, Fang Li, Guosheng Hu","doi":"10.1109/ICDSBA51020.2020.00038","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00038","url":null,"abstract":"In recent years, image detection based on deep learning has become one of the main technologies of intelligent retail container (IRC). Fisheye lens is widely adopted as the imaging equipment of the IRC due to its short focal length, large viewing angle and small volume. Aiming at the distortion of fisheye lens imaging, an innovative \"center coordinate correcting and clustering algorithm (CCCCA)\" based on spherical double longitude model is proposed to correct the classification error of the hard sample in fisheye image predicted by neural network model. First, the YOLOv4Tiny model is used to detect the fisheye image of the IRC to gain the bounding boxes (\"bboxes\"). Second, the center and radius of the fisheye image are obtained by using the Hough circle algorithm in OpenCV, and the fisheye image is orthogonally mapped to the target plane by means of the spherical double longitude model so as to get the correction center coordinates of the bboxes. Finally, the x-axis coordinates of the correction bbox’s centers are clustered to determine the categories of the hard samples (\"HardSampleSet\"). Experimental results show that the CCCCA can reduce the top-1 error rate (\"top-1 err.\") of the HardSampleSet in our project by 5.57%.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247886","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00018
Wang Rui, Guo Ning
For the problem of heterogenous fleet dynamic vehicle rounting, a memetic algorithm was proposed to optimize the minimum vehicle number and transportation cost. In order to improve the global exploration ability of the algorithm, an improved distribution estimation algorithm is used in the pre-optimization phase of global search, Quantum genetic algorithm is used in real - time optimization. The client node reset and 2-opt algorithm are adopted to enhance the local search ability of the algorithm. Finally, the validity of the algorithm is verified by simulation experiments.
{"title":"Research on Heterogenous Fleet Dynamic Vehicle Rounting Problem Based on Memetic Algorithm","authors":"Wang Rui, Guo Ning","doi":"10.1109/ICDSBA51020.2020.00018","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00018","url":null,"abstract":"For the problem of heterogenous fleet dynamic vehicle rounting, a memetic algorithm was proposed to optimize the minimum vehicle number and transportation cost. In order to improve the global exploration ability of the algorithm, an improved distribution estimation algorithm is used in the pre-optimization phase of global search, Quantum genetic algorithm is used in real - time optimization. The client node reset and 2-opt algorithm are adopted to enhance the local search ability of the algorithm. Finally, the validity of the algorithm is verified by simulation experiments.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"274 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113992217","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00047
Yang Lina, Yang Liyuan
Under the background of Sino-US trade frictions, private enterprises should make full use of domestic and foreign "two resources" and "two markets" for market cultivation. Under the premise of a recession in foreign markets, it is particularly important to tap and cultivate the domestic market, but it will be restricted by issues such as market, sales channels, and brands. Through the breakthrough path of Group F, it can be seen that the government should help enterprises to Cultivate the domestic market from some aspects such as building domestic sales supply and demand platform and marketing network.
{"title":"How to Cultivate the Domestic Market for Private Enterprises Under the Background of Trade Protection","authors":"Yang Lina, Yang Liyuan","doi":"10.1109/ICDSBA51020.2020.00047","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00047","url":null,"abstract":"Under the background of Sino-US trade frictions, private enterprises should make full use of domestic and foreign \"two resources\" and \"two markets\" for market cultivation. Under the premise of a recession in foreign markets, it is particularly important to tap and cultivate the domestic market, but it will be restricted by issues such as market, sales channels, and brands. Through the breakthrough path of Group F, it can be seen that the government should help enterprises to Cultivate the domestic market from some aspects such as building domestic sales supply and demand platform and marketing network.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003774","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 : 2020-09-01DOI: 10.1109/icdsba51020.2020.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icdsba51020.2020.00003","DOIUrl":"https://doi.org/10.1109/icdsba51020.2020.00003","url":null,"abstract":"","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132673164","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00087
Chunxia Meng, Chunhong Xia, Xiao Yuan Li
Ship radiated noise can generally be regarded as a random process that undergoes steady states, but the complexity of its generation mechanism makes its spectral characteristics different from white noise signals. Realistic simulation of the time domain signal of ship radiated noise can improve performance of acoustic equipment. In this paper, the analysis methods of the ship's radiation noise line spectrum and continuous spectrum characteristics are studied. The near-field radiation noise data of a certain type of ship under the same operating conditions is analyzed in the time-frequency domain, and the statistically significant radiation noise spectrum characteristics are obtained. The probability density function is used to generate random numbers that meet this statistical characteristic to describe the frequency spectrum of underwater radiating sound sources at various frequencies, and the Fourier synthesis method is used to reconstruct the time-domain pass characteristic of the ship's radiated noise signal under arbitrary sound velocity conditions in shallow water. Finally, the evaluation method of the radiated noise signal modeling results is studied, and the reconstructed signal is evaluated by the similarity calculation between the measured and simulated signal. The results show that the reconstructed time domain signal has higher fidelity.
{"title":"Reconstruction and Evaluation of Ship Radiated Noise Signal in Ocean Channel","authors":"Chunxia Meng, Chunhong Xia, Xiao Yuan Li","doi":"10.1109/ICDSBA51020.2020.00087","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00087","url":null,"abstract":"Ship radiated noise can generally be regarded as a random process that undergoes steady states, but the complexity of its generation mechanism makes its spectral characteristics different from white noise signals. Realistic simulation of the time domain signal of ship radiated noise can improve performance of acoustic equipment. In this paper, the analysis methods of the ship's radiation noise line spectrum and continuous spectrum characteristics are studied. The near-field radiation noise data of a certain type of ship under the same operating conditions is analyzed in the time-frequency domain, and the statistically significant radiation noise spectrum characteristics are obtained. The probability density function is used to generate random numbers that meet this statistical characteristic to describe the frequency spectrum of underwater radiating sound sources at various frequencies, and the Fourier synthesis method is used to reconstruct the time-domain pass characteristic of the ship's radiated noise signal under arbitrary sound velocity conditions in shallow water. Finally, the evaluation method of the radiated noise signal modeling results is studied, and the reconstructed signal is evaluated by the similarity calculation between the measured and simulated signal. The results show that the reconstructed time domain signal has higher fidelity.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132723641","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}
The embodied cognition theory advocates the liberation and return of learners’ body in learning, and emphasizes learners’ experience learning; while VR educational games also attach importance to learners’ situational teaching, which combines cognition, body and environment to improve teaching effect. With the swift progress of the times, educational games have been widely used in each study section of education. Nowadays, educational games supported by virtual reality technology and other new technologies have been gradually used. Researchers in various fields have explored VR educational games to varying degrees from different perspectives, but researches on VR educational games from the perspectives of embodied cognition theory and multimodal interaction are still rare. Based on embodied cognition theory and multi-modal interaction technology, this paper gives a brief overview of the current situation of VR educational games in recent years, and uses the unity3D platform to try to construct the basic development and design framework of VR educational games. Summarizing the potential relationship of VR educational games based on multi-mode and the overall trend of future development.
{"title":"VR Educational Game Design and Research Based on Multi-Modal Interaction from the Perspective of Embodied Cognition","authors":"Ling He, Ruixue Wang, Xiaoqian Shi, Qiaofang Liang, Kailiang Fang, Jiachen Li","doi":"10.1109/ICDSBA51020.2020.00091","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00091","url":null,"abstract":"The embodied cognition theory advocates the liberation and return of learners’ body in learning, and emphasizes learners’ experience learning; while VR educational games also attach importance to learners’ situational teaching, which combines cognition, body and environment to improve teaching effect. With the swift progress of the times, educational games have been widely used in each study section of education. Nowadays, educational games supported by virtual reality technology and other new technologies have been gradually used. Researchers in various fields have explored VR educational games to varying degrees from different perspectives, but researches on VR educational games from the perspectives of embodied cognition theory and multimodal interaction are still rare. Based on embodied cognition theory and multi-modal interaction technology, this paper gives a brief overview of the current situation of VR educational games in recent years, and uses the unity3D platform to try to construct the basic development and design framework of VR educational games. Summarizing the potential relationship of VR educational games based on multi-mode and the overall trend of future development.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115787159","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00090
Yi Zhang, Jinhong Li, Bin Xing, Xiaolin Hu
In view of the low robustness and accuracy of traditional visual odometry in dynamic environment, a dynamic feature point detection method based on semantic-optical flow fusion based on dynamic threshold is used to solve the problem that single optical flow method is sensitive to noise. In this paper, the Mask R-CNN Network is used to segment the image semantics, and the LK (Lucas Kanade) optical flow is used to track the feature points in the image, and the optical flow motion vector is calculated. On the basis of optical flow motion vector, a dynamic point judgment method based on the depth information of feature points and camera motion information is designed, and the dynamic feature points are eliminated to adapt to the dynamic environment. The experimental results on the tum data set show that the absolute trajectory error of the proposed system is improved by more than 90% compared with ORB-SLAM2, while the absolute trajectory error is improved by more than 13% compared with the same type of DS-SLAM, which improves the robustness of the visual odometry.
{"title":"Robust Semantic Optical Flow Visual Odometry in Dynamic Environment","authors":"Yi Zhang, Jinhong Li, Bin Xing, Xiaolin Hu","doi":"10.1109/ICDSBA51020.2020.00090","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00090","url":null,"abstract":"In view of the low robustness and accuracy of traditional visual odometry in dynamic environment, a dynamic feature point detection method based on semantic-optical flow fusion based on dynamic threshold is used to solve the problem that single optical flow method is sensitive to noise. In this paper, the Mask R-CNN Network is used to segment the image semantics, and the LK (Lucas Kanade) optical flow is used to track the feature points in the image, and the optical flow motion vector is calculated. On the basis of optical flow motion vector, a dynamic point judgment method based on the depth information of feature points and camera motion information is designed, and the dynamic feature points are eliminated to adapt to the dynamic environment. The experimental results on the tum data set show that the absolute trajectory error of the proposed system is improved by more than 90% compared with ORB-SLAM2, while the absolute trajectory error is improved by more than 13% compared with the same type of DS-SLAM, which improves the robustness of the visual odometry.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122063469","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00092
Peng Lu, Zhen Qin, Yuanxiu Liao
Commonsense knowledge reasoning is an important an important research field in artificial intelligence, and there has been a lot of research. But there is still much work to be done on the basic theory of commonsense knowledge formalization. In this article, we introduce a novel quantifier in first- order logic, called "collective quantifier", in order to construct a logical framework for the formal representation and reasoning of commonsense knowledge. After giving the semantic explanation of the collective quantifier, the complete formal expression of commonsense knowledge is realized. The proposed quantifier is slightly weaker than the universal quantifier. The universal quantifier describes the "characteristics of all individuals in the universe", while the collective quantifier describes the "characteristics of most individuals in the universe". In addition, we also propose a multi-level commonsense knowledge representation and reasoning, which divides the attribute values of commonsense knowledge into multiple levels for processing. For example, the commonsense knowledge "rainfall can cause floods" is divided into "heavy rains can cause catastrophic floods" or "heavy rains can cause major floods". Multi-level commonsense knowledge reasoning broadens the application scope of Classical commonsense knowledge reasoning.
{"title":"A Novel Formal Representation and Reasoning for Commonsense Knowledge","authors":"Peng Lu, Zhen Qin, Yuanxiu Liao","doi":"10.1109/ICDSBA51020.2020.00092","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00092","url":null,"abstract":"Commonsense knowledge reasoning is an important an important research field in artificial intelligence, and there has been a lot of research. But there is still much work to be done on the basic theory of commonsense knowledge formalization. In this article, we introduce a novel quantifier in first- order logic, called \"collective quantifier\", in order to construct a logical framework for the formal representation and reasoning of commonsense knowledge. After giving the semantic explanation of the collective quantifier, the complete formal expression of commonsense knowledge is realized. The proposed quantifier is slightly weaker than the universal quantifier. The universal quantifier describes the \"characteristics of all individuals in the universe\", while the collective quantifier describes the \"characteristics of most individuals in the universe\". In addition, we also propose a multi-level commonsense knowledge representation and reasoning, which divides the attribute values of commonsense knowledge into multiple levels for processing. For example, the commonsense knowledge \"rainfall can cause floods\" is divided into \"heavy rains can cause catastrophic floods\" or \"heavy rains can cause major floods\". Multi-level commonsense knowledge reasoning broadens the application scope of Classical commonsense knowledge reasoning.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129851","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00048
Lin Dang
The standard drill pipe for drilling in coal mine gallery is one of the main drilling tools in underground coal mine drilling. Its reliability directly affects the safety and efficiency of drilling construction. This paper describes the detection method of static torque of standard drill pipe for drilling in coal mine gallery, including detection principle, equipment used, detection method and process, and detection data analysis, which provides basis for the design, testing and inspection of the standard drill pipe for drilling in coal mine gallery, ensures that the standard drill pipe for drilling in coal mine gallery can be used within the torque range it can bear, and provides a safe and reliable guarantee for drilling construction.
{"title":"Detection Method of Static Torque of Standard Drill Pipe for Drilling in Coal Mine Gallery","authors":"Lin Dang","doi":"10.1109/ICDSBA51020.2020.00048","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00048","url":null,"abstract":"The standard drill pipe for drilling in coal mine gallery is one of the main drilling tools in underground coal mine drilling. Its reliability directly affects the safety and efficiency of drilling construction. This paper describes the detection method of static torque of standard drill pipe for drilling in coal mine gallery, including detection principle, equipment used, detection method and process, and detection data analysis, which provides basis for the design, testing and inspection of the standard drill pipe for drilling in coal mine gallery, ensures that the standard drill pipe for drilling in coal mine gallery can be used within the torque range it can bear, and provides a safe and reliable guarantee for drilling construction.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276235","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00021
Weilong Wang, Shimin Zhao, Hu Liu, Z. Pan, Lulu Zhang, Jiajian Wang, Sheng Geng
The tool wear of shield machine is a key problem that affects the quality and progress of the project. In order to solve the problem of tool wear detection during shield tunneling, this paper proposes a method of using hidden Markov model (HMM) to evaluate the tool wear of shield machine. Firstly, four main propulsion parameters, including total thrust, cutterhead torque, propulsion speed and cutter speed, are selected as the research objects. The influence of the four propulsion parameters on tool wear is analyzed, and the fitting expression between the tool wear and the four propulsion parameters is established. The deviation between the predicted tunneling speed and the actual tunneling speed is obtained by fitting expression, and then the HMM method is used to train it, and the statistical model of tool wear is established. Then the observation signal is input into the statistical model, and the output probability is compared with the original model, so as to evaluate the development trend of tool wear state. Simulation and actual test show that the method is accurate.
{"title":"A Method of Tool Wear Detection for Shield Machine Based on Hidden Markov Model Algorithm","authors":"Weilong Wang, Shimin Zhao, Hu Liu, Z. Pan, Lulu Zhang, Jiajian Wang, Sheng Geng","doi":"10.1109/ICDSBA51020.2020.00021","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00021","url":null,"abstract":"The tool wear of shield machine is a key problem that affects the quality and progress of the project. In order to solve the problem of tool wear detection during shield tunneling, this paper proposes a method of using hidden Markov model (HMM) to evaluate the tool wear of shield machine. Firstly, four main propulsion parameters, including total thrust, cutterhead torque, propulsion speed and cutter speed, are selected as the research objects. The influence of the four propulsion parameters on tool wear is analyzed, and the fitting expression between the tool wear and the four propulsion parameters is established. The deviation between the predicted tunneling speed and the actual tunneling speed is obtained by fitting expression, and then the HMM method is used to train it, and the statistical model of tool wear is established. Then the observation signal is input into the statistical model, and the output probability is compared with the original model, so as to evaluate the development trend of tool wear state. Simulation and actual test show that the method is accurate.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321802","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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