At present, there were many mobile communication deviees in China. In order to improve the prediction effect of mobile communication and realize the scalability and dynamic evolution of the prediction system, a dynamic prediction model of controllable correlation big data for mobile communication was proposed. The application experiment was carried out, and the experimental results of various models were compared and analyzed. The experimental results showed that the model fully integrated the openness, extensibility and big data dynamic prediction advantages of mobile communication. The communication quality, total duration and quantitative qualitative prediction of con trollable correlation big data based on mobile communication in big data environment were realizedÇ4bstract).
{"title":"Controllable Correlation Big Data Dynamic Prediction Model for Mobile Communication","authors":"Yu Wang","doi":"10.1109/DSA.2019.00025","DOIUrl":"https://doi.org/10.1109/DSA.2019.00025","url":null,"abstract":"At present, there were many mobile communication deviees in China. In order to improve the prediction effect of mobile communication and realize the scalability and dynamic evolution of the prediction system, a dynamic prediction model of controllable correlation big data for mobile communication was proposed. The application experiment was carried out, and the experimental results of various models were compared and analyzed. The experimental results showed that the model fully integrated the openness, extensibility and big data dynamic prediction advantages of mobile communication. The communication quality, total duration and quantitative qualitative prediction of con trollable correlation big data based on mobile communication in big data environment were realizedÇ4bstract).","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130060965","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 sustainable development of the city must be based on the sustainable development of the environment. In recent years, the construction speed of urban parks and green spaces has been accelerating, which reflects the attention of urban decision makers on improving the ecological environment, the image of urban landscape and the leisure and recreation conditions of citizens. This method analyzes the forming factors of urban landscape pattern, predicts the ecological capacity according to the characteristics of urban development status, positions the main direction of urban ecological landscape pattern planning, and carries out the landscape pattern planning of town and city according to the ecological needs of the city. The planning method proposed in this paper and the traditional method are adopted to carry out simulation experiments. The experimental results show that the planning effect of the method proposed in this paper is better and can provide concrete ideas for the construction of eco-type cities
{"title":"Ecotype City Landscape Pattern Rationality Planning Method Research","authors":"Lanting Jiang, Yongbo Jiang, Bin Zhang","doi":"10.1109/DSA.2019.00022","DOIUrl":"https://doi.org/10.1109/DSA.2019.00022","url":null,"abstract":"The sustainable development of the city must be based on the sustainable development of the environment. In recent years, the construction speed of urban parks and green spaces has been accelerating, which reflects the attention of urban decision makers on improving the ecological environment, the image of urban landscape and the leisure and recreation conditions of citizens. This method analyzes the forming factors of urban landscape pattern, predicts the ecological capacity according to the characteristics of urban development status, positions the main direction of urban ecological landscape pattern planning, and carries out the landscape pattern planning of town and city according to the ecological needs of the city. The planning method proposed in this paper and the traditional method are adopted to carry out simulation experiments. The experimental results show that the planning effect of the method proposed in this paper is better and can provide concrete ideas for the construction of eco-type cities","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121048611","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 today's knowledge-based economy society, the rapid spread of a trend, personalized knowledge service has become the mainstream of development, so that the Web information users can meet the variety, high level of precision and content requirements of the high-Ievel service fonn. Through analysis, we can find that the mining of researchers' interest can serve as the main learning content of personalized knowledge services. So the realization of research interest mining based on Internet is to meet the special information needs of the users, which can be called an effective method to optimize the content of personalized business. Therefore, a more efficient algorithm is used to optimize the search search program for Internet information and improve the search efficiency. This optimization can become the research direction of the present age of aIl things in the world. The information data mining strategy to the simple to can improve the information retrieval efficiency of the network resources, and can provide the accurate, reliable summary of the Internet information resources, meet the convenience and precision of the researchers to retrieve the Internet information resources, thus can be accurate and high. The research interest mining based on the Internet includes the use of search engines to obtain the relevant information of the researchers. Through data mining and machine learning algoritluns, the results information returned by the search engine are analyzed, and the research interests of the researchers are obtained from the contents of these results.
{"title":"Rational Design of the Appearance of Complex Industrial Products Based on Visual Communication","authors":"Song Kang, Nanchang Cheng","doi":"10.1109/DSA.2019.00031","DOIUrl":"https://doi.org/10.1109/DSA.2019.00031","url":null,"abstract":"In today's knowledge-based economy society, the rapid spread of a trend, personalized knowledge service has become the mainstream of development, so that the Web information users can meet the variety, high level of precision and content requirements of the high-Ievel service fonn. Through analysis, we can find that the mining of researchers' interest can serve as the main learning content of personalized knowledge services. So the realization of research interest mining based on Internet is to meet the special information needs of the users, which can be called an effective method to optimize the content of personalized business. Therefore, a more efficient algorithm is used to optimize the search search program for Internet information and improve the search efficiency. This optimization can become the research direction of the present age of aIl things in the world. The information data mining strategy to the simple to can improve the information retrieval efficiency of the network resources, and can provide the accurate, reliable summary of the Internet information resources, meet the convenience and precision of the researchers to retrieve the Internet information resources, thus can be accurate and high. The research interest mining based on the Internet includes the use of search engines to obtain the relevant information of the researchers. Through data mining and machine learning algoritluns, the results information returned by the search engine are analyzed, and the research interests of the researchers are obtained from the contents of these results.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":" 42","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950159","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 most classic algorithm in the recommender system domain is the collaborative filtering algorithm, but it often suffers from data sparsity and item cold-start problems. Moreover, most traditional collaborative filtering algorithms only consider the user's rating of the item, which greatly limits the accuracy of the recommendation. This paper takes movie recommendation as the research object, and proposes a collaborative filtering recommendation model based on LDA topic model and network embedding, which improves the dependability of the model. The model first uses the LDA topic model to extract the text features of users and movies from texts, then builds the association network through the association features between users, and learns the network features using node2vec and GraphGAN. Finally, the two parts are combined to compute the similarity between users to recommend movies using the collaborative filtering algorithm. Results of the experiment on the real dataset of the Douban website demonstrate that movie recommendation with the user characteristics mined by the LDA model and GraphGAN combined can achieve the best effect, which is much higher than the collaborative filtering based on user ratings or using only LDA theme. This proves that network embedding can promote the accuracy of recommendationation, while ensuring the dependability of the model. The method proposed in this paper is effective.
{"title":"LDA Model and Network Embedding-Based Collaborative Filtering Recommendation","authors":"Ziqi Tang, Xuan Zhang, Jiamei Niu","doi":"10.1109/DSA.2019.00043","DOIUrl":"https://doi.org/10.1109/DSA.2019.00043","url":null,"abstract":"The most classic algorithm in the recommender system domain is the collaborative filtering algorithm, but it often suffers from data sparsity and item cold-start problems. Moreover, most traditional collaborative filtering algorithms only consider the user's rating of the item, which greatly limits the accuracy of the recommendation. This paper takes movie recommendation as the research object, and proposes a collaborative filtering recommendation model based on LDA topic model and network embedding, which improves the dependability of the model. The model first uses the LDA topic model to extract the text features of users and movies from texts, then builds the association network through the association features between users, and learns the network features using node2vec and GraphGAN. Finally, the two parts are combined to compute the similarity between users to recommend movies using the collaborative filtering algorithm. Results of the experiment on the real dataset of the Douban website demonstrate that movie recommendation with the user characteristics mined by the LDA model and GraphGAN combined can achieve the best effect, which is much higher than the collaborative filtering based on user ratings or using only LDA theme. This proves that network embedding can promote the accuracy of recommendationation, while ensuring the dependability of the model. The method proposed in this paper is effective.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130652533","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}
An airport emergency plan evaluation method is proposed for the lack of systematicity in the existing civil airport emergency plan evaluation content and the lack of quantitative evaluation model. An evaluation index system which contains five elements is established, network analytic hierarchy process is used to determine index weights, and the approximation ideal solution methodis used to compare and sort different plans. The method and the modular designed simulation platform which is developed based on Unity3D engine is combined to verify the feasibility and effectiveness of the method. The combination of the above methods and the simulation platform can improve the efficiency of airport emergency plan evaluation, effectively improve the quality of emergency plan, and enhance the safety and effectiveness of emergency drills.
{"title":"Quality Evaluation Method for Airport Emergency Plan by Virtual Drill Simulation","authors":"Haiyao Xu, Shaojie Wang, Lan Wang","doi":"10.1109/DSA.2019.00071","DOIUrl":"https://doi.org/10.1109/DSA.2019.00071","url":null,"abstract":"An airport emergency plan evaluation method is proposed for the lack of systematicity in the existing civil airport emergency plan evaluation content and the lack of quantitative evaluation model. An evaluation index system which contains five elements is established, network analytic hierarchy process is used to determine index weights, and the approximation ideal solution methodis used to compare and sort different plans. The method and the modular designed simulation platform which is developed based on Unity3D engine is combined to verify the feasibility and effectiveness of the method. The combination of the above methods and the simulation platform can improve the efficiency of airport emergency plan evaluation, effectively improve the quality of emergency plan, and enhance the safety and effectiveness of emergency drills.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121874381","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}
{"title":"[Copyright notice]","authors":"","doi":"10.1109/dsa.2019.00003","DOIUrl":"https://doi.org/10.1109/dsa.2019.00003","url":null,"abstract":"","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132680308","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}
Big data is another subversive technological revolution in the IT industry after cloud computing and the Internet of things. At present, many native Internet enterprises have made a lot of achievements in some aspects by using big data technology. For example,ByteDance,a news application, uses big data technology to accurately portray users to achieve personalized news push; Tencent and Alibaba use the same technology to analyze the audience and package new advertising products called "programmed advertising'Mn 2009, publishing companies like The Guardian, The Economist, and the New York Times, and other internationally renowned publications began to explore big data news, and made significant achievements in using digital technology to expand the newspaper industry. In China, the newspaper industry tries to improve the effect of media communication by strengthening the creation of a comprehensive database and exploring the integration and development of new media. This paper will sort out the process of information development in the newspaper industry and the application of big data and new technology in news creation.
{"title":"Research on the Application of Big Data in Newspaper Industry","authors":"Ruoxin Liu, Xuan Wang, Kang Song","doi":"10.1109/DSA.2019.00087","DOIUrl":"https://doi.org/10.1109/DSA.2019.00087","url":null,"abstract":"Big data is another subversive technological revolution in the IT industry after cloud computing and the Internet of things. At present, many native Internet enterprises have made a lot of achievements in some aspects by using big data technology. For example,ByteDance,a news application, uses big data technology to accurately portray users to achieve personalized news push; Tencent and Alibaba use the same technology to analyze the audience and package new advertising products called \"programmed advertising'Mn 2009, publishing companies like The Guardian, The Economist, and the New York Times, and other internationally renowned publications began to explore big data news, and made significant achievements in using digital technology to expand the newspaper industry. In China, the newspaper industry tries to improve the effect of media communication by strengthening the creation of a comprehensive database and exploring the integration and development of new media. This paper will sort out the process of information development in the newspaper industry and the application of big data and new technology in news creation.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890829","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}
Aiming at the low credibility of traditional social media users' network access behavior analysis methods, this paper proposes a Web4.0-based social media user network access behavior analysis method. By analyzing the relationship between the client and the client, the social media user network access behavior data is collected, based on the academie community's analysis of the social media user network access behavior analysis, combined with the concept and technology of the Web4.0 model. Finally, according to the data analysis, the comparison results of the access results of the social media user network access behavior analysis method based on Web4.0 are higher, and the discriminative coefficients are strong among the structural variables, and the discrimination degree is very high(Abstract).
{"title":"Analysis of Social Media User Network Access Behavior Based on Web4.0","authors":"Qixiang Wu, Lin He","doi":"10.1109/DSA.2019.00023","DOIUrl":"https://doi.org/10.1109/DSA.2019.00023","url":null,"abstract":"Aiming at the low credibility of traditional social media users' network access behavior analysis methods, this paper proposes a Web4.0-based social media user network access behavior analysis method. By analyzing the relationship between the client and the client, the social media user network access behavior data is collected, based on the academie community's analysis of the social media user network access behavior analysis, combined with the concept and technology of the Web4.0 model. Finally, according to the data analysis, the comparison results of the access results of the social media user network access behavior analysis method based on Web4.0 are higher, and the discriminative coefficients are strong among the structural variables, and the discrimination degree is very high(Abstract).","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132054184","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}
Mushuai Han, Dongdong Zhao, Hong Lin, D. Zhou, Jianwen Xiang, Zhongjin Liu, Yanzhen Xing
Vulnerabilities in firmware will make a system at risk. Because of code reuse, the same vulnerability may occur on different platforms. Therefore, searching vulnerabilities across different platforms is of great significance. Due to the difficulty in obtaining the source code of firmware, there is a need to search vulnerabilities at the binary level. However, the prior methods mainly work at the same platform, which can't be directly extended to the case of cross-platform. In this paper, we propose a multistage method to search cross-platform vulnerabilities in firmware. Given a vulnerable function in a platform, our objective is to find its homologous vulnerability in another platform. To ensure the efficiency, we identify a set of robust numeric features and use the k-Nearest Neighbors (kNN) algorithm to obtain possible vulnerable functions. To improve the accuracy, we adopt the bipartite matching algorithm to calculate the distance between functions based on the local call graphs (LCGs) of functions and the call frequency between functions. We have implemented a prototype of our approach, called VSkLCG, which supports three platforms (ARM, MIPS, x86). The experimental results show that our method can search some vulnerabilities in firmware with a high accuracy while maintaining efficiency.
{"title":"VSkLCG A Method for Cross-Platform Vulnerability Search in Firmware","authors":"Mushuai Han, Dongdong Zhao, Hong Lin, D. Zhou, Jianwen Xiang, Zhongjin Liu, Yanzhen Xing","doi":"10.1109/DSA.2019.00061","DOIUrl":"https://doi.org/10.1109/DSA.2019.00061","url":null,"abstract":"Vulnerabilities in firmware will make a system at risk. Because of code reuse, the same vulnerability may occur on different platforms. Therefore, searching vulnerabilities across different platforms is of great significance. Due to the difficulty in obtaining the source code of firmware, there is a need to search vulnerabilities at the binary level. However, the prior methods mainly work at the same platform, which can't be directly extended to the case of cross-platform. In this paper, we propose a multistage method to search cross-platform vulnerabilities in firmware. Given a vulnerable function in a platform, our objective is to find its homologous vulnerability in another platform. To ensure the efficiency, we identify a set of robust numeric features and use the k-Nearest Neighbors (kNN) algorithm to obtain possible vulnerable functions. To improve the accuracy, we adopt the bipartite matching algorithm to calculate the distance between functions based on the local call graphs (LCGs) of functions and the call frequency between functions. We have implemented a prototype of our approach, called VSkLCG, which supports three platforms (ARM, MIPS, x86). The experimental results show that our method can search some vulnerabilities in firmware with a high accuracy while maintaining efficiency.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133576709","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}
Mining machinery manufacturing industry in our country in the process of the whole social and economic development has played a great role in promoting, especially to improve the accuracy of mechanical engineering, automation technology, can greatly improve the overall level machinery manufacturing, system parameters identification in a correct way will help to establish a more accurate system model, improving the quality of mining machinery manufacturing. Using the differential equation of motion based on the system and the idea of undetermined coefficient method, obtain the motion parameters through the experimental test, establish the equations, solve the mechanical parameters of the system after the least square processing, and realize the mmmg machinery manufacturing process parameter identification. Confirmed by experiments based on the motion differential equation of the validity of the mining machinery manufacturing process parameter identification technology, Jay a foundation for the mmmg machinery manufacturing technology progress(Abstraclj.
{"title":"Mining Machinery Manufacturing Process Parameter Identification Technology Based on Motion Differential Equation","authors":"Youjun Xu","doi":"10.1109/DSA.2019.00028","DOIUrl":"https://doi.org/10.1109/DSA.2019.00028","url":null,"abstract":"Mining machinery manufacturing industry in our country in the process of the whole social and economic development has played a great role in promoting, especially to improve the accuracy of mechanical engineering, automation technology, can greatly improve the overall level machinery manufacturing, system parameters identification in a correct way will help to establish a more accurate system model, improving the quality of mining machinery manufacturing. Using the differential equation of motion based on the system and the idea of undetermined coefficient method, obtain the motion parameters through the experimental test, establish the equations, solve the mechanical parameters of the system after the least square processing, and realize the mmmg machinery manufacturing process parameter identification. Confirmed by experiments based on the motion differential equation of the validity of the mining machinery manufacturing process parameter identification technology, Jay a foundation for the mmmg machinery manufacturing technology progress(Abstraclj.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129233533","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：