2019 6th International Conference on Dependable Systems and Their Applications (DSA)最新文献_第7页

Controllable Correlation Big Data Dynamic Prediction Model for Mobile Communication 移动通信可控关联大数据动态预测模型

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00025

Yu Wang

引用次数: 0

Ecotype City Landscape Pattern Rationality Planning Method Research 生态型城市景观格局合理性规划方法研究

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00022

Lanting Jiang, Yongbo Jiang, Bin Zhang

引用次数: 0

Rational Design of the Appearance of Complex Industrial Products Based on Visual Communication 基于视觉传达的复杂工业产品外观的理性设计

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00031

Song Kang, Nanchang Cheng

{"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}

引用次数: 0

LDA Model and Network Embedding-Based Collaborative Filtering Recommendation

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00043

Ziqi Tang, Xuan Zhang, Jiamei Niu

{"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}

引用次数: 5

Quality Evaluation Method for Airport Emergency Plan by Virtual Drill Simulation 基于虚拟演练仿真的机场应急预案质量评价方法

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00071

Haiyao Xu, Shaojie Wang, Lan Wang

引用次数: 0

[Copyright notice] (版权)

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/dsa.2019.00003

引用次数: 0

Research on the Application of Big Data in Newspaper Industry 大数据在报业中的应用研究

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00087

Ruoxin Liu, Xuan Wang, Kang Song

{"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}

引用次数: 0

Analysis of Social Media User Network Access Behavior Based on Web4.0 基于Web4.0的社交媒体用户上网行为分析

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00023

Qixiang Wu, Lin He

引用次数: 2

VSkLCG A Method for Cross-Platform Vulnerability Search in Firmware 基于VSkLCG的固件跨平台漏洞搜索方法

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00061

Mushuai Han, Dongdong Zhao, Hong Lin, D. Zhou, Jianwen Xiang, Zhongjin Liu, Yanzhen Xing

{"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}

引用次数: 1

Mining Machinery Manufacturing Process Parameter Identification Technology Based on Motion Differential Equation 基于运动微分方程的矿山机械制造过程参数辨识技术

2019 6th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2020-01-01 DOI: 10.1109/DSA.2019.00028

Youjun Xu

引用次数: 0