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2020 International Conference on Culture-oriented Science & Technology (ICCST)最新文献

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Review of tobacco leaf classification research based on artificial intelligence 基于人工智能的烟叶分类研究综述
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00086
Guangcai Li, Huanju Zhen, Deji Wang, Cuilan Wang
{"title":"Review of tobacco leaf classification research based on artificial intelligence","authors":"Guangcai Li, Huanju Zhen, Deji Wang, Cuilan Wang","doi":"10.1109/ICCST50977.2020.00086","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00086","url":null,"abstract":"In order to complete the research on intelligent classification of tobacco leaves issued by the National Bureau, improve the level of raw material assurance, and study the development trend of domestic tobacco grading technology, using domestic tobacco research results as data sources, association analysis, cluster analysis, NLP analysis, etc. are used as analysis tools. The grading data from 1979 to 2019 were analyzed, and the main research institutions, core authors, and research hotspots of tobacco grading were analyzed. Finally, the status and existing problems of tobacco grading research, as well as the rules and trends of tobacco grading research are given. In particular, it is pointed out that \"hyperspectral + deep learning + expert system\" will become a research hotspot, among which deep learning is a research Focus.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126952849","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}
引用次数: 2
An Improved Link Prediction Algorithm of Complex Network 一种改进的复杂网络链路预测算法
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00042
Xinru Wang, Zhiguo Hong, Minyong Shi
{"title":"An Improved Link Prediction Algorithm of Complex Network","authors":"Xinru Wang, Zhiguo Hong, Minyong Shi","doi":"10.1109/ICCST50977.2020.00042","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00042","url":null,"abstract":"In recent years, link prediction has become a hot spot in complex network research area. Its goal is to calculate the possibility of future connection between the currently unconnected nodes through the known topology and other information in the network. At present, most prediction algorithms are based on local similarity and focus on the common neighbors and degree of nodes without considering the impact of compactness between nodes on the prediction. For this reason, in this paper an improved link prediction algorithm, named as CCRA(Resource Allocation with Clustering Coefficient) is proposed by combining the local similarity property with clustering coefficient. Furthermore, the accuracy of this algorithm's prediction is verified through experiments on real data sets. Consequently, conclusion on this algorithm is derived thereby.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130885469","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}
引用次数: 0
Research on the Dynamic Mechanism of the Internet Public Opinion Based on Interaction Ritual Chains : —Taking the 2019 Learning Companion Event as an Example 基于互动仪式链的网络舆情动态机制研究——以2019年学习同伴事件为例
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00076
Xingbin Chao
{"title":"Research on the Dynamic Mechanism of the Internet Public Opinion Based on Interaction Ritual Chains : —Taking the 2019 Learning Companion Event as an Example","authors":"Xingbin Chao","doi":"10.1109/ICCST50977.2020.00076","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00076","url":null,"abstract":"In the era of new media, the Internet public opinion can have a huge social influence. The purpose of this research is to explore the dynamic mechanism of the Internet public opinion and provide necessary research support for grasping the evolution process of the Internet public opinion. This research uses the interaction ritual chains theory as the research framework, and selects the case study of the \"Learning Companion\" event in 2019. It is found that emotion stimulates the online expression of netizens, and promotes the connection between netizens and forms an online group. It has an impact on the Internet public opinion by driving netizens’ online behavior. Therefore, emotion is an important dynamic mechanism for the evolution of the Internet public opinion.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131348025","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}
引用次数: 0
Design and Implementation of Intelligent Chinese Chess System Device 智能象棋系统装置的设计与实现
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00115
Jingyuan Zhang, Hang Yin
{"title":"Design and Implementation of Intelligent Chinese Chess System Device","authors":"Jingyuan Zhang, Hang Yin","doi":"10.1109/ICCST50977.2020.00115","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00115","url":null,"abstract":"As a representative chess game in China, Chinese chess is a kind of intellectual game that has been precipitated after thousands of years. With the maturity of cloud-based speech recognition technology and the development of artificial intelligence technology, the intelligent chess system has risen to a new level, expanding a more intelligent human-computer interaction experience. This paper proposes a chess piece traction and movement method based on electromagnet dot matrix, which gets rid of the complicated mechanical devices, and completes the game decision based on deep learning algorithm, realizes powerful chess force, and realizes voice control based on natural language processing algorithm. Eventually, when the system is started, you can play against the machine on the real chessboard.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129205199","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}
引用次数: 1
Design and Implementation of an Linkage Control System for Stage Visual Effect Equipment 舞台视觉效果设备联动控制系统的设计与实现
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00126
Shilei Bai, Yi-han Suo, Kai Xu, Xiujun Tang, Jiaxin Zhang
{"title":"Design and Implementation of an Linkage Control System for Stage Visual Effect Equipment","authors":"Shilei Bai, Yi-han Suo, Kai Xu, Xiujun Tang, Jiaxin Zhang","doi":"10.1109/ICCST50977.2020.00126","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00126","url":null,"abstract":"In view of the problems of low equipment integration, difficult equipment operation, and high technical threshold existing in the current stage visual effect linkage control system, a highly integrated linkage control system for stage visual effect equipment, which is suitable for small and medium-sized performance venues, is proposed in this paper. This system can control the stage lighting and the playback of multi-channel and multi-format media content, and it is easy to control. The design scheme of the system is described in detail, and the feasibility of the system is verified through tests in this paper.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123078244","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}
引用次数: 0
Text Classification Using a Bidirectional Recurrent Neural Network with an Attention Mechanism 基于注意机制的双向递归神经网络文本分类
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00057
Bingyuan Wang, Fang Miao, Xueting Wang, Libiao Jin
{"title":"Text Classification Using a Bidirectional Recurrent Neural Network with an Attention Mechanism","authors":"Bingyuan Wang, Fang Miao, Xueting Wang, Libiao Jin","doi":"10.1109/ICCST50977.2020.00057","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00057","url":null,"abstract":"Text classification is an important semantic processing task in the field of natural language processing (NLP). Traditional text-classifying systems often rely on human-designed features, and most of existing methods fail to obtain the sentence information completely. In this paper, we design a recurrent structure to represent the input sentence, and apply attention mechanism to capture the most important semantic information in a sentence. We conduct experiments on the Internet Movie Database (IMDB). The experimental result shows that our method outperforms most of methods of text classification.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126286574","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}
引用次数: 2
RSF: A Novel Saliency Fusion Framework for Image Saliency Detection RSF:一种新的图像显著性检测的显著性融合框架
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00014
Yunhe Wu, Tong Jia, Wenhao Li, Dongyue Chen
{"title":"RSF: A Novel Saliency Fusion Framework for Image Saliency Detection","authors":"Yunhe Wu, Tong Jia, Wenhao Li, Dongyue Chen","doi":"10.1109/ICCST50977.2020.00014","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00014","url":null,"abstract":"Image saliency detection has become a hot topic in computer vision tasks. A large number of saliency models have been developed in recent years. Considering that these models use different prior knowledge, features, and theoretical methods, they have their own strengths and weaknesses in different images. Based on this observation, some works aim to fuse multiple weak saliency models based on different fusion strategies (Each saliency model in fusion framework is called a weak saliency model). However, these fusion methods lose effectiveness when image content is very complex, because they ignore the fact that various regions in an image have different characteristics in saliency fusion. Different with them, we propose a novel Region-level Saliency Fusion framework (RSF) by exploring the relationship between weak saliency models and image regions. For the input image and J weak saliency models, we firstly segment input image into N regions. Then, our goal is to learn to infer the reliability of using each weak saliency model to predict each image region saliency value. This way, we can select more reliable weak saliency models for each region to predict its saliency value. Finally, we use smoothness prior to further smooth the saliency map obtained by RSF. Experimental results on three datasets demonstrate the superiority of the proposed method than other state-of-the-art methods.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122535846","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}
引用次数: 2
Cartoon image colorization based on emotion recognition and superpixel color resolution 基于情感识别和超像素色彩分辨率的卡通图像着色
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00090
Zhibin Su, Yun-fang Zhang, Jia Li, Nan Gao
{"title":"Cartoon image colorization based on emotion recognition and superpixel color resolution","authors":"Zhibin Su, Yun-fang Zhang, Jia Li, Nan Gao","doi":"10.1109/ICCST50977.2020.00090","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00090","url":null,"abstract":"With the development of artificial intelligence technology, it is possible to automatically colorize the hand drawn sketch by machine. Researchers have conducted in-depth and meticulous study on hand-drawn manuscript recognition, generation, and retrieval. For the emotion-based line art colorization, facial expression should be also extracted from the image itself. To solve the recognition and colorization problem, this paper has proposed an algorithm with the DenseNet network for emotional recognition of anime faces and performed a two-stage interactive coloring method in view of superpixel color analysis features. Among them, the superpixel color analysis technology used a simple linear iterative clustering of SLIC algorithm. According to the experiment, the prompt color information of corresponding position could be generated through the emotion recognition result. After the prediction of superpixel color analysis by GAN (generative adversarial network), the original cartoon image could be rendered with suitable color scheme. The visualization results proved that our algorithm proposed would effectively realize the emotion-based line art colorization of high interactivity and reasonable color distribution.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122858170","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}
引用次数: 2
Research on anti plagiarism technology for manuscript washing and false original 手稿清洗与伪原创反抄袭技术研究
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00050
Jie Liu, Lidong Xing, Shuwu Zhang, Lei Chang
{"title":"Research on anti plagiarism technology for manuscript washing and false original","authors":"Jie Liu, Lidong Xing, Shuwu Zhang, Lei Chang","doi":"10.1109/ICCST50977.2020.00050","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00050","url":null,"abstract":"With the rapid development of the digital economy, traffic has become the key to the profitability of self-media, and some self-media use script-washing software to generate pseudo-original content in batches to seek improper benefits, which has seriously damaged the content creation intellectual property ecology. Aiming at the problem that it is difficult to detect pseudo-original manuscripts, this article discusses from a technical level, proposes an anti-plagiarism technology based on the fusion of semantic similarity and emotional tendency, uses topic mining technology to obtain text topic distribution, calculate topic similarity, and uses text representation technology Calculate the semantic similarity of the text, use the sentiment analysis technology to calculate the difference in the emotional tendency of the text, and merge the topic similarity, semantic similarity and emotional tendency to detect plagiarism. The experiment was conducted by collecting data on a public platform. The results show that the accuracy of this method to judge plagiarism is 91.9%, which has certain practical significance in the technical practice of anti-plagiarism.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131474217","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}
引用次数: 0
A Survey of Temporal Activity Localization via Language in Untrimmed Videos 未修剪视频中语言对时间活动定位的研究
2020 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2020-10-01 DOI: 10.1109/ICCST50977.2020.00123
Yulan Yang, Z. Li, Gangyan Zeng
{"title":"A Survey of Temporal Activity Localization via Language in Untrimmed Videos","authors":"Yulan Yang, Z. Li, Gangyan Zeng","doi":"10.1109/ICCST50977.2020.00123","DOIUrl":"https://doi.org/10.1109/ICCST50977.2020.00123","url":null,"abstract":"Video is one of the most informative media which consists of visual, textual and audio contents. As the number of videos on the Internet grows explosively, it is increasingly necessary for machines to understand the semantic information in the videos accurately. Temporally Activity Localization in a video is such a work which needs to localize the video moment that is most semantically similar to a given natural query. This task is quite challenging for that it not only requires to have a deep understanding of the sentences and videos, but also the fine-grained interactions between the two modalities. In this paper, we report a comprehensive survey of existed temporal sentence localization techniques. Firstly, we make a detailed classification and analysis of these methods. Then we discuss the experimental results and performance of existed approaches. Finally, we present some insights for future research direction.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132582210","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}
引用次数: 8
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