Pub Date : 2022-02-01DOI: 10.1109/ICTech55460.2022.00048
Jinghui Zhang, Y. Xiang
With the rapid development of computer technology and the expansion of the Internet, intrusions on the Internet have become more frequent. With the development of machine learning technology, people apply machine learning technology to the anomaly detection of network traffic. However, traditional traffic classification not only relies on complex features, but also extracts users' private content, which has a negative impact on users. It is already difficult to meet the current increasingly large-scale network. Due to the rapid development of deep learning recently, it has very good applications in many fields. In this article, on the basis of it, we use Convolutional Neural Networks (CNN) and long- and short-term memory networks, and comprehensively put forward corresponding intrusion detection models based on the actual classification characteristics of the data set and model, optimization is performed.
{"title":"Research on Traffic Intrusion Detection Method Based on Deep Learning","authors":"Jinghui Zhang, Y. Xiang","doi":"10.1109/ICTech55460.2022.00048","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00048","url":null,"abstract":"With the rapid development of computer technology and the expansion of the Internet, intrusions on the Internet have become more frequent. With the development of machine learning technology, people apply machine learning technology to the anomaly detection of network traffic. However, traditional traffic classification not only relies on complex features, but also extracts users' private content, which has a negative impact on users. It is already difficult to meet the current increasingly large-scale network. Due to the rapid development of deep learning recently, it has very good applications in many fields. In this article, on the basis of it, we use Convolutional Neural Networks (CNN) and long- and short-term memory networks, and comprehensively put forward corresponding intrusion detection models based on the actual classification characteristics of the data set and model, optimization is performed.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130913974","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00083
H. Yang, Zhe Sun
Skiing as a practical strong sports items, due to the effect of season there is scarcity, so expect in current scientific research scholars to explore in practice to develop an indoor ski, with many degrees of freedom simulation system, to help athletes or interested participants more degrees of freedom indoor ski ski training simulator system. This new training platform can help them strengthen their behavioral awareness in practical training, reduce training time and cost, and promote effective interaction between human autonomous senses and 3D objects in virtual environment. Based on a comprehensive understanding of the current indoor skiing simulator system construction experience, this paper conducted a simulation study on the 3-DOF simulated skiing training platform, and proposed a practical control method. The final results prove that this control platform model can help athletes better carry out skill training.
{"title":"Numerical Simulation of Multi-Degree Indoor Skiing Simulation System","authors":"H. Yang, Zhe Sun","doi":"10.1109/ICTech55460.2022.00083","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00083","url":null,"abstract":"Skiing as a practical strong sports items, due to the effect of season there is scarcity, so expect in current scientific research scholars to explore in practice to develop an indoor ski, with many degrees of freedom simulation system, to help athletes or interested participants more degrees of freedom indoor ski ski training simulator system. This new training platform can help them strengthen their behavioral awareness in practical training, reduce training time and cost, and promote effective interaction between human autonomous senses and 3D objects in virtual environment. Based on a comprehensive understanding of the current indoor skiing simulator system construction experience, this paper conducted a simulation study on the 3-DOF simulated skiing training platform, and proposed a practical control method. The final results prove that this control platform model can help athletes better carry out skill training.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128886389","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00069
Yancheng Long, J. Rong
Data prediction, as an important symbol of network technology innovation and development, is a technical process of estimating future data by combining existing data. Nowadays, with the comprehensive development of mobile network and social network, people are faced with more and more electronic data in daily life. At this time, how to accurately predict future data or understand the development trend of data is of great significance to industry construction. Neural network, as a computational model built by computer to simulate the process of human brain neuron processing information, has certain nonlinear modeling ability in practical application, and can adapt to master the law of data hiding as soon as possible. Therefore, in this paper, the neural network model and fuzzy system are discussed in depth, and the fuzzy neural network model is chosen to analyze the data prediction, and a general prediction framework based on fuzzy C clustering and ANFIS hybrid learning algorithm is proposed in the practical research, and an improved fuzzy C clustering based on density weighting (IDWFCM) is proposed. The final simulation results show that the clustering effect of IDWFCM algorithm is not affected by noise data, so that the convergence speed of the system is higher than the traditional clustering algorithm, the overall increase of 60%, and the clustering accuracy also increases from 88.4% to 94.2%.
{"title":"Analysis of Data Mining and Dynamic Neural Network for Data Prediction","authors":"Yancheng Long, J. Rong","doi":"10.1109/ICTech55460.2022.00069","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00069","url":null,"abstract":"Data prediction, as an important symbol of network technology innovation and development, is a technical process of estimating future data by combining existing data. Nowadays, with the comprehensive development of mobile network and social network, people are faced with more and more electronic data in daily life. At this time, how to accurately predict future data or understand the development trend of data is of great significance to industry construction. Neural network, as a computational model built by computer to simulate the process of human brain neuron processing information, has certain nonlinear modeling ability in practical application, and can adapt to master the law of data hiding as soon as possible. Therefore, in this paper, the neural network model and fuzzy system are discussed in depth, and the fuzzy neural network model is chosen to analyze the data prediction, and a general prediction framework based on fuzzy C clustering and ANFIS hybrid learning algorithm is proposed in the practical research, and an improved fuzzy C clustering based on density weighting (IDWFCM) is proposed. The final simulation results show that the clustering effect of IDWFCM algorithm is not affected by noise data, so that the convergence speed of the system is higher than the traditional clustering algorithm, the overall increase of 60%, and the clustering accuracy also increases from 88.4% to 94.2%.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273030","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00114
Yihuan Su, Jiang Ming, Fang Li, Zhixiang Ao
In recent years, with the progress of electronic information technology, great changes have taken place in many aspects in the medical field, and medical electronics has attracted more and more attention and favor of the people. Especially under the complex background of the gradual improvement of China's national income and the increasing degree of population aging, the space of medical electronic market is broader. Among them, digitization, portability, household use and cheapness have become the hot spots of electronic demand. In addition to the characteristics of accuracy and portability, the price has also become the reference point for consumers to buy. However, the functional structure of medical electronic products in China can not completely meet the needs of these markets. Therefore, how to develop a low-power, portable, high security and low-cost electronic product is worth thinking by the majority of scientific researchers. Based on this, the system designs a night heart rate breathing system based on arm. The system can protect the life safety of users in time, and integrates the characteristics of low power consumption and low cost of arm, so it has broad application prospects.
{"title":"Design of Night Heart Rate Breathing System Based on ARM","authors":"Yihuan Su, Jiang Ming, Fang Li, Zhixiang Ao","doi":"10.1109/ICTech55460.2022.00114","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00114","url":null,"abstract":"In recent years, with the progress of electronic information technology, great changes have taken place in many aspects in the medical field, and medical electronics has attracted more and more attention and favor of the people. Especially under the complex background of the gradual improvement of China's national income and the increasing degree of population aging, the space of medical electronic market is broader. Among them, digitization, portability, household use and cheapness have become the hot spots of electronic demand. In addition to the characteristics of accuracy and portability, the price has also become the reference point for consumers to buy. However, the functional structure of medical electronic products in China can not completely meet the needs of these markets. Therefore, how to develop a low-power, portable, high security and low-cost electronic product is worth thinking by the majority of scientific researchers. Based on this, the system designs a night heart rate breathing system based on arm. The system can protect the life safety of users in time, and integrates the characteristics of low power consumption and low cost of arm, so it has broad application prospects.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115818632","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}
In order to assist residents in garbage classification in public places, a user-friendly intelligent garbage classification mechanism based on image recognition, which can identify the type of garbage by itself, was invented after being designed and tested for many times. Functions and devices like full-load detection, sterilization, temperature monitoring, touchable display, universal wheel with brake were added. Stepping on the pedal to wake up it can effectively reduce the power consumption and the burden of main control module. Double slide rails can reduce the resistance of spinning delivery container so as to insure the stability of running steering engine. Homemade core board matched with flat cable guarantees the security of the circuit. The combination of standard parts and 3D printing allows the mechanism to be modularly loaded or unloaded, making it easier to maintain. Finally, we managed to realize the practical application of intelligent garbage classification mechanism, with the recognition accuracy reaching 98.67%.
{"title":"Intelligent Garbage Classification Mechanism Based on Image Recognition","authors":"Miaoyun Feng, Juanjuan Li, Junyue He, Zeyu Feng, Yuhan Liu, Haochuan Li, Yuwei Zhou, Hao Wang","doi":"10.1109/ICTech55460.2022.00102","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00102","url":null,"abstract":"In order to assist residents in garbage classification in public places, a user-friendly intelligent garbage classification mechanism based on image recognition, which can identify the type of garbage by itself, was invented after being designed and tested for many times. Functions and devices like full-load detection, sterilization, temperature monitoring, touchable display, universal wheel with brake were added. Stepping on the pedal to wake up it can effectively reduce the power consumption and the burden of main control module. Double slide rails can reduce the resistance of spinning delivery container so as to insure the stability of running steering engine. Homemade core board matched with flat cable guarantees the security of the circuit. The combination of standard parts and 3D printing allows the mechanism to be modularly loaded or unloaded, making it easier to maintain. Finally, we managed to realize the practical application of intelligent garbage classification mechanism, with the recognition accuracy reaching 98.67%.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935322","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00085
Tiantian Jiang, Zhanguo Wang
In the field of natural language processing, text classification is a key daily task. The main goal is to obtain effective features from text information, find the correspondence between feature representations and category labels, so as to classify the text. From the perspective of data flow, it is mainly divided into five stages: text preprocessing, vector representation of text, feature extraction, classifier classification and model training to complete text classification tasks. Among them, feature extraction is a very important stage, and it is also the focus of this article. GRU can learn long-term dependencies from learned local features, and bidirectional GRU can learn hidden features in sentences. The self-attention mechanism exhibits superior performance in many fields in natural language processing. It can mine the autocorrelation of data and highlight key information by adjusting the weight of keywords. Therefore, in view of the shortcomings of existing models in text global information modeling, this paper combines bidirectional GRU and self-attention mechanism, and proposes a hybrid model BiGRU-MA for text classification, which can extract deep semantic features and solve the problem of classification performance degradation due to the lack of semantic information. This article uses text classification related technology to model, describes the modeling ideas, and introduces the technology used, and finally compares experiments with existing models to verify the effectiveness of the model.
{"title":"Text Classification Using BiGRU with Directional Self-Attention","authors":"Tiantian Jiang, Zhanguo Wang","doi":"10.1109/ICTech55460.2022.00085","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00085","url":null,"abstract":"In the field of natural language processing, text classification is a key daily task. The main goal is to obtain effective features from text information, find the correspondence between feature representations and category labels, so as to classify the text. From the perspective of data flow, it is mainly divided into five stages: text preprocessing, vector representation of text, feature extraction, classifier classification and model training to complete text classification tasks. Among them, feature extraction is a very important stage, and it is also the focus of this article. GRU can learn long-term dependencies from learned local features, and bidirectional GRU can learn hidden features in sentences. The self-attention mechanism exhibits superior performance in many fields in natural language processing. It can mine the autocorrelation of data and highlight key information by adjusting the weight of keywords. Therefore, in view of the shortcomings of existing models in text global information modeling, this paper combines bidirectional GRU and self-attention mechanism, and proposes a hybrid model BiGRU-MA for text classification, which can extract deep semantic features and solve the problem of classification performance degradation due to the lack of semantic information. This article uses text classification related technology to model, describes the modeling ideas, and introduces the technology used, and finally compares experiments with existing models to verify the effectiveness of the model.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116502678","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00036
Jingang Yu, Zhifeng Wen, Shu Li, Yongkang Hou
With more and more public involvement in the charity field, higher requirements are put forward for user privacy protection in the charity system. As a decentralized, anonymous and immutable distributed ledger, blockchain provides a new idea to solve the privacy protection problems in charity systems. Aiming at the problem of data privacy protection of charity system, user-oriented and data-oriented privacy protection methods are proposed. User-oriented privacy protection by writing smart contracts to limit users' access to data and ensure the privacy of data; Data-oriented privacy protection encrypts data by using encryption algorithms. In this paper, an improved AES algorithm is proposed. By dynamically constructing S-box, the algorithm does not have obvious structural characteristics, and various properties are random transformation, which increases the difficulty of cracking; At the same time, the AES algorithm is parallelized to improve the encryption and decryption rates. Experimental results show that the improved AES algorithm can ensure the security of data encryption in charity system and improve the operation efficiency.
{"title":"Design and Implementation of Privacy Protection of Charity System Based on Blockchain","authors":"Jingang Yu, Zhifeng Wen, Shu Li, Yongkang Hou","doi":"10.1109/ICTech55460.2022.00036","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00036","url":null,"abstract":"With more and more public involvement in the charity field, higher requirements are put forward for user privacy protection in the charity system. As a decentralized, anonymous and immutable distributed ledger, blockchain provides a new idea to solve the privacy protection problems in charity systems. Aiming at the problem of data privacy protection of charity system, user-oriented and data-oriented privacy protection methods are proposed. User-oriented privacy protection by writing smart contracts to limit users' access to data and ensure the privacy of data; Data-oriented privacy protection encrypts data by using encryption algorithms. In this paper, an improved AES algorithm is proposed. By dynamically constructing S-box, the algorithm does not have obvious structural characteristics, and various properties are random transformation, which increases the difficulty of cracking; At the same time, the AES algorithm is parallelized to improve the encryption and decryption rates. Experimental results show that the improved AES algorithm can ensure the security of data encryption in charity system and improve the operation efficiency.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979040","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00080
Xiang Liu
The rapid development of information technology to promote economic production and life style of a new change, and accelerate the speed of urban construction innovation. Building electronic government as public administrative reform under the new era and evaluate the important symbol of the levels of national urban competition, in the current social environment, information technology has been a national office daily office affairs, one of the biggest factors affect whether email or file sharing and so on all the authority unit of file management has brought the profound influence. Information publishing technology also has a unique application role in archives management. Therefore, based on the understanding of the application characteristics of the information construction project of the comprehensive archives room, this paper designs and implements the dynamic information release system with Briwser/Server structure as the core under the NET framework, which is mainly used to optimize the operation of file submission, system management and permission browsing. Combined with B/S distributed structure, the functions of file submission and online filing are optimized. At the same time, this paper summarizes the system after scientific adjustment, to meet the requirements of other e-commerce information release management.
{"title":"The design and development of university teaching management information system based on Asp.Net","authors":"Xiang Liu","doi":"10.1109/ICTech55460.2022.00080","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00080","url":null,"abstract":"The rapid development of information technology to promote economic production and life style of a new change, and accelerate the speed of urban construction innovation. Building electronic government as public administrative reform under the new era and evaluate the important symbol of the levels of national urban competition, in the current social environment, information technology has been a national office daily office affairs, one of the biggest factors affect whether email or file sharing and so on all the authority unit of file management has brought the profound influence. Information publishing technology also has a unique application role in archives management. Therefore, based on the understanding of the application characteristics of the information construction project of the comprehensive archives room, this paper designs and implements the dynamic information release system with Briwser/Server structure as the core under the NET framework, which is mainly used to optimize the operation of file submission, system management and permission browsing. Combined with B/S distributed structure, the functions of file submission and online filing are optimized. At the same time, this paper summarizes the system after scientific adjustment, to meet the requirements of other e-commerce information release management.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585417","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00093
Bihui Yu, Xiangxiang Zhang
In the field of technology policy, a large number of technology policies are released every day, and scientific researchers need to always pay attention to a great number of technology policy information on different websites, and it is arduous to find crucial policy information from them. Using named entity recognition technology to convert a great number of unstructured text information in technology policy fields into structured information can help scientific researchers obtain crucial policy information. Compared with named entity recognition in the general field, the main challenge of entity recognition in the professional field is that there is less data in the professional field with annotations. In order to reduce the resource overhead of annotated data, a semi-supervised learning method for named entity recognition is produced. The advantage of the semi-supervised learning training model is that it can use the text data with label information and the text data without label information to train the recognition model, and improve the generalization ability of the named entity recognition model. This paper innovatively proposes a dynamic adversarial training method DAT (Dynamic Adversarial Training) that dynamically adjusts the loss weights of supervised data and unsupervised data, and applies it to semi-supervised entity recognition tasks, and proposes the DAT-Bert-CRF model. Effectively solve the problem of semi-supervised entity recognition. The result of our experiment show that compared with other semi-supervised entity recognition methods, the performance of our model in this paper is better.
{"title":"Research and Application of Semi-Supervised Entity Recognition Method in The Field of Technology Policy","authors":"Bihui Yu, Xiangxiang Zhang","doi":"10.1109/ICTech55460.2022.00093","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00093","url":null,"abstract":"In the field of technology policy, a large number of technology policies are released every day, and scientific researchers need to always pay attention to a great number of technology policy information on different websites, and it is arduous to find crucial policy information from them. Using named entity recognition technology to convert a great number of unstructured text information in technology policy fields into structured information can help scientific researchers obtain crucial policy information. Compared with named entity recognition in the general field, the main challenge of entity recognition in the professional field is that there is less data in the professional field with annotations. In order to reduce the resource overhead of annotated data, a semi-supervised learning method for named entity recognition is produced. The advantage of the semi-supervised learning training model is that it can use the text data with label information and the text data without label information to train the recognition model, and improve the generalization ability of the named entity recognition model. This paper innovatively proposes a dynamic adversarial training method DAT (Dynamic Adversarial Training) that dynamically adjusts the loss weights of supervised data and unsupervised data, and applies it to semi-supervised entity recognition tasks, and proposes the DAT-Bert-CRF model. Effectively solve the problem of semi-supervised entity recognition. The result of our experiment show that compared with other semi-supervised entity recognition methods, the performance of our model in this paper is better.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078218","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 : 2022-02-01DOI: 10.1109/ICTech55460.2022.00067
Jinyuan Wang
Movie background music plays a positive role in enhancing emotion, drama and movie atmosphere. If the background music can be automatically classified based on emotion, it will help to improve the analysis efficiency and quality of emotional content of movies. In view of this feature, researchers put forward a musical emotion classifier based on the emotional characteristics of film background music, and optimize the emotion of background music. Annotations. In this paper, based on the understanding of the current research situation of film media background music, after accurately extracting music features, the PLSA as the core of film background music emotion classification model is proposed, and the actual design of empirical analysis, the final results show that this method can obtain high-precision classification results.
{"title":"Research on Emotion Classification of Movie Background Music Based on Improved Clustering Algorithm","authors":"Jinyuan Wang","doi":"10.1109/ICTech55460.2022.00067","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00067","url":null,"abstract":"Movie background music plays a positive role in enhancing emotion, drama and movie atmosphere. If the background music can be automatically classified based on emotion, it will help to improve the analysis efficiency and quality of emotional content of movies. In view of this feature, researchers put forward a musical emotion classifier based on the emotional characteristics of film background music, and optimize the emotion of background music. Annotations. In this paper, based on the understanding of the current research situation of film media background music, after accurately extracting music features, the PLSA as the core of film background music emotion classification model is proposed, and the actual design of empirical analysis, the final results show that this method can obtain high-precision classification results.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122458239","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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