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With the rapid development of modern society, people are no longer satisfied with the rapid enrichment of the material life. The quality of life demands are put on the agenda of ordinary people. Health has become the first issue of concern. The number of people who exercise in health care has been increasing year by year. The national fitness has become a national strategy, the fitness has become...
Big data plays an increasingly important role in aircraft integrated health management. This paper introduces the aircraft health management cloud platform, fault feature extraction methods based on deep learning and fault rules network construction, optimization and division.
the coupling and correlation degree between aircraft systems is higher, and the diagnosis and prognosis of aircraft are more complex. Building a platform for storing and analyzing the aviation big data becomes an important task for civil aviation. This paper proposes a civil aircraft health management big data architecture. The civil aircraft health management system includes airborne PHM, ground...
User profiling is a typical big data service created and utilized by an increasing number of Internet venders, which maintains a customized model of interests or essential attributes of their existing users by looking for insights into their behaviors. The Internet industry's best practices indicate that user profiles can help venders much more sufficiently understand their customers. As a result,...
Recent years recommender systems have been used in the public cultural services to provide personalized services. The single recommendation methods only cover the limited areas of interest of users. To address this issue, this paper proposes an integrated recommender system for cross-domain heterogeneous recommendations of the public cultural resources. The proposed system works on the recommendations...
Recently the online public cultural services have grown fast. Massive cultural knowledge can be extracted from the big data generated by the services. The discovery, management, and analysis of the public cultural knowledge become critical tasks for improving the public cultural services. To address the issues, this paper proposes the public cultural knowledge platform that builds and maintains a...
A new smart grid tendency warning system on different time dimensions is proposed in this paper. As a result, big data statistics, analysis and prediction of power network are made in the long-to-medium and short term. In the long-to-medium run, power network time-series analysis is realized through electricity consumption big data analysis technique. By using filling funnel model, which monitors...
Online education is a popular way for distance education in the world. The data of online education platform is explosively growing. The Big Data technologies can process and analyze the massive data and facilitate the user experience and teaching quality. This paper proposes an online education Big Data platform that aims at improving the quality of education by analyzing a large amount of data generated...
Aviation Prognosis and Health Management (PHM) is an important measure to improve the security, reliability, testability, maintainability and supportability of aircrafts. The development of aviation PHM system has been widely concerned. However, the design framework of aviation PHM system in various countries at present is not uniform, the engineering application is relatively backward, and many technical...
Public cultural services are developed rapidly. The growth of the data related to the public cultural services are dramatically. It needs big data technologies for processing the massive public cultural data. This paper proposes a big data analysis platform for facilitating the public cultural services. The platform collects cultural data from public cultural institutions and analyzes the data by...
In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find the resources they are really interested in. We classify the public digital cultural resources and propose a precision recommendation framework based on big data technology. Finally, we introduce a precision recommendation method for public digital...
Aircraft health management is now a hot research hotspot in the field of civil aviation. It has inborn genes of big data. However, big data and its application in this field is still at the initial stage of development. Through the use of big data technology, airlines could improve aircrafts' maintainability, reliability and economy. For fusing the big data technology into the process of health management,...
LDA-based topic analysis is widely used in text mining field. Considering the large scale of web documents, document clusters are usually analyzed instead of single ones. However, the existing visualizations of LDA-based clustering do not intuitively present contents of hot topics while maintaining the relationships between the topics and the document clusters. In this paper, we propose an integrated...
To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data.
Chinese Characters are important elements of Chinese culture. Digitization techniques of Chinese Characters introduce attractive experiences of Chinese Character culture. The Chinese Character digitization generates large-scale data that is hard handled by traditional methods. To address this issue, in this paper, we propose Chinese Character Culture Big Data Platform that is designed based on the...
At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.
In this paper, we propose a semantic++ programming design mechanism for big data. We introduce the concepts of semantic computing, semantic+ computing, and semantic++ computing. We propose semantic++ programming design mechanism on big data environment including concepts, and architecture. We also present a case study of semantic++ programming to show how to use Semantic++ computing. Our research...
Nowadays, aviation is getting more necessary for our daily life. Airplane is becoming an important method of passenger transport and cargo transport. Integrated health management of airplanes strongly influences the maintenance efficiency of civil fleets and military fleets as wells as drone fleets. This paper proposes a framework of airplane integrated health management that provides integrated health...
Entity resolution is the basic operation of data quality management, and the key step to find the value of data. The parallel data processing framework based on MapReduce can deal with the challenge brought by big data. However, there exist two important issues, avoiding redundant pairs led by the multi-pass blocking method and optimizing candidate pairs based on the transitive relations of similarity...
The big data collection and analysis of public digital culture sharing service is researched in this paper. Big data includes three types of data, namely: ancillary service data, public digital culture sharing service platform operation data and user data. The aim is to build a data analysis platform for the three classes of data. Through the analysis of the three types of data collected, the use...
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