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This paper puts forward the method of user profile technology based on LDA model. Abstracting the behavior and transaction information of the research object into the document, the LDA model can be trained and the research object can be described into the property tags, thereby to realize the user profile....

According to the features of big data era, this paper analyzes the main challenges that massive data bring to the analysis tool of data science. The paper introduces the big data analysis tool in response to challenges. Then, the paper carries on the comparative analysis of R language, Rapid Miner and...

In this knowledge economy age, postgraduate education is closely related with regional materials manufacturing industry development, both of which interact with each other. As a big province of education and materials manufacturing, Hubei is of great theoretical and practical significance for the systematic...

Stay cable is one of the main components of cable stayed bridge to bear loads. Due to its large flexibility, small quality and small damping, various of harmful vibrations could happen easily under the external excitations. Rain-wind-induced vibration is the strongest form of vibrations. Under the joint...

Under the circumstance of the big data, because of the low efficiency and low performance of analysis and calculation in stand-alone mode, the traditional recommendation algorithm is limited greatly, recommended time and recommended precision is difficult to guarantee. This thesis makes a improvement...

A kind of uncertain nonlinear system with unknown bounded function is analyzed. And a kind of common integral control is used to cope with the unknown function by taking example of a first order system. And by using of Laypunov stability theorem, we find that the system is stable but the unknown parameter...

For large data environment, the traditional K-means clustering algorithm flaw in the software in real-time fault detection process, we propose a K-means clustering software intelligent real-time fault detection method is improved. The K-means clustering algorithm and particle swarm optimization combined...

Accurate classification of massive data in the field of electronic commerce, can service consumers to the greatest degree. The variety and quantity of goods fast growth make a large number of useful products information would be submerged in massive data. The traditional electronic commerce data classification...

The cost of enterprise employees turnover has big impact on the enterprise economic growth, so the relationship of enterprise employee turnover and the enterprise economic is researched, and the risk warning assessment of employee turnover is realized. At present, the mathematical model of enterprise...

In the evaluation of equipment system of systems(SoS), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment SoS based on big data analysis techniques. The outline of the method is provided from...

The previous experiments have shown that hydrophobic properties of 20 kinds of human’s amino acid are different. It was of great significance to study whether hydrophobicity of proteins had a role in the research of the intimate relationship of proteins. Besides, it is also very important to balance...

To solve the deficiency of algorithm distributed association rules based on MapReduce, this paper introduces global pruning strategy to increase algorithm efficiency, adopts frequent matrix storage to reduce the consumption of internal storage, and puts forward MFMDAP of frequent matrix storage of MapReduce...

After analyzing the interface work principle of the lattice font supported by QT and UCDOS font feature,It is found that the open source QT is lack of the lattice font more than 16*16 size. For this shortcoming, the UCDOS font is combined with the QT seamlessly. Thus, the QT can use any font in the UCDOS...

For problems, such as the low accuracy and easily polluted data of the traditional sampling ratings index calculation method, we conduct research on the ratings of big data. Firstly, we argue the effect of the amount of data on the accuracy of the ratings, and do experiments using real data. By sampling...

As the technology of three dimension integrated circuit (3D IC) develop quickly, through silicon via (TSV) plays a basic and important role. In consideration of real working environment, factors as temperature and working voltage are studied by TCAD simulator. And the contribution of physical sizes and...

Deep convolutional neural networks (CNNs) have recently shown impressive performance as generic representation for recognition. However, the feature extracted f¬rom global CNNs lack geometric invariance, which limits their robustness for classification and detection of highly variable objects .To improve...

With the development of information technology, the Information Management System of the English Contest for College Students is presented to strengthen the Management Information. By analyzing the management content and workflow of the English Contest for College Students, integrated network technology,...

This supermarket management system has realized the transmission and control of large goods, so as to facilitate the management and decision of sales, and reduce a big burden for supermarkets and supermarket managers. It also can help to improve the work efficiency of supermarket. Its requirements is...

Aiming at the issues that the big intensity of labor, large number of workers, low product efficiency and the quality refractory in the fire-proof material production enterprise in casting sprue clay pipe production pipe molding process in subsequent processing. A system of cutting and stacking of casting...

The direct-current motor has been widely used in the modern electronic products, such as automatic control system, electronic equipment, home appliances, and electronic toys. The tape recorder, record player, recorder, and computer cannot work without the direct-current motor. So the control of the direct-current...

The IEEE 802.16m based broadband wireless access is a brand-new technology to provide high speed and wide range communications for wireless users. However, how to exploit the optimal utilization of the radio frequency bands resource in such networks is a big challenging issue as it covers the radio channel...

In industrial production, material level control of ball mill are normal operation of ball mill is of great significance. In view of the ball mill run time nonlinear, big inertia and strong coupling characteristic, studied a kind of fuzzy PID based on PLC - 300 ball mill feeding control algorithm, based...

The vigorous development of the Chinese MOOC platform has brought the huge amounts of data. How to tap the value of these data is the current research problems to be solved. This paper puts forward the data mining framework through analyzing the data features of user data in MOOC platform under the large...

Fast-flux net has been adopted by more and more attackers to build up bot-net, which consists of many proxy-hosts that are changing fast. With this technology, tracing and locating the C&C (control and command) host is more complex and difficult, so that how to identify whether a domain belongs to a...

Recently, the sparse representation-based classification (SRC) is getting more and more attention in many fields, such as pattern classification, which has been successfully applied to face recognition. However, the essence of SRC, within face recognition, is to use the linear combination in the same...

Storm is a real-time streaming of Big data processing field tools. But the task of topology will even divided to the executors in worker node,which as default scheduler. It neither consider internal solt transmission delay time, nor consider transmission delay between nodes, but does not consider the...

Satellite communication networks would become one of the most prevalent communication system for the increasing demand for high-speed multimedia services and the underutilization of scarce satellite spectral resource. Considering resource optimization under multi-priority services and various link states...

In order to cope"Guidelines for voluntary use of Energy Efficiency Operational Indicators( EEOI)", a simple method of adjusting ship trimming of a voyage has been attempted,which can minimize the energy consumption and economize cost.A method of ship dynamic trimming optimization base on loading computer...

The application of the Internet of Things, cloud computing, big data, mobile Internet and other modern information technologies in the transformation and upgrading of the whole industrial chain of agriculture is of great significance to accelerate the development of agricultural information and modernization....

With the datacenter becomes increasingly large in size, the energy consumption in datacenter grows rapidly. Energy saving in datacenter becomes a big theme. In multicore environment, virtualization provides an effective way to address this problem. Virtual machines (VMs) with their own tasks are run...

Under the background of big data recent studies have revealed that emerging modern machine learning techniques are advantageous to statistical models for credit risk evaluation, such as SVM. In this study, we discuss the applications of the evolution strategies based support vector machine with mixture...

A multi-agent-based cooperative control strategy (MACCS) is proposed for hybrid renewable energy generation system with large-scale wind–photovoltaic energy storage units (WPSUs). The proposed system adopts the negotiation model of the contract net protocol with the non-fixed client–server cooperative...

At the end of the nineteenth century comes a generation of Naturalism writers whose ideas and consciousness focus on the workings of the universe and the society's disorders, and they also like to have the harsher insight into the reality, especially the distinctive rebelling traits on Sister Carrie...

With the development of smart grid, electric power system data surges in a short period of time, and the traditional data storage and processing platform can't meet the requirements. In this paper, big data-related technology will be applied to the electric power data management, using Hadoop as a basic...

As the power big data is developing with a wide range of varieties, it is used to manage and analyze data, especially the unstructured data such as power documents. In this paper, HBase database and HDFS are applied to make the document searching easier and faster. Keywords extraction based on Hadoop...

Big data has promoted the integration of Internet and industrial innovation, and further promotes traditional industrial upgrading and the emergence of emerging industry, has resulting in a huge social and economic impact. This paper demonstrate the mechanism of industrial structure optimization promoted...

The development plan of Guangdong, Hong Kong and Macao Bay Area is going be launched soon, and the construction of Guangdong Free Trade Zone will continue to advance. Guangdong faces the dual national strategic and policy advantages of the Bay Area and the Free Trade Zone in the “One Belt and One Road”...

In China's social security system, disabled people, as special social groups, are vulnerable groups. They should receive more attention from the society. Also, there should be a sound and reliable social security system to help and protect disabled people. In recent years, China's social security system...

The most popular technologies such as artificial intelligence and big data are inseparable from the support of computers. Those who are proficient in the working principle of computer systems and innovative in using computer technology to solve real problems in production and life have become the shortages...

Information security based on cloud computing platform is becoming one of the main concerns and challenges for library in big data era. This paper analyzes the current situation and security problems under the cloud computing platform, and then proposes to use encryption algorithm to ensure data security,...

With the rapid development of economy, science and technology, the era of artificial intelligence has come, which has exerted a great influence on all aspects of life. Whether the situation of accountants facing elimination is widely concerned. This article will be focusing on how to use artificial intelligence...

As a new type educational method, MOOC plays a distinctly important role in promoting the educational development and greatly impacts the traditional classroom teaching. It breaks the limitations of time, language and region and provides the curriculum resources from first-class schools and teachers,...

At present our country has built the world's largest education system, and our country implements the big powers to the human resources from people. Our country needs from human resource country to strong human resources. The mechanical and electrical professional training mode of Higher vocational colleges...

With the advent of the information age, the network is filled with all kinds of information and people in the vast amount of information are in the face of all kinds of confusion, thus data analysis has become a more difficult problem. Big data can solve this problem well and can greatly improve the...

This paper analyzes the reason why the civil aviation enterprises attach great importance to service quality, but the passengers are not much satisfied. And then it puts forward a scientific solution based on humanism and interconnected intelligent equipment. The paper also defines the concept of a smart...

In order to perfectly integrate the Internet of Things (IOT) and big data, the way how big data influences the construction of an open IOT ecosystem was discussed and the significance of big data for the Internet of Things was set forth. Also, the system framework of an open IOT ecosystem with advanced...

With the advent of the age of big dat, the application of big data to predict is a powerful way to solve various problems. However, for the increasingly tense spectrum resources, the prediction of cognitive radio based on big data is an inevitable trend. In this paper, the advantages of big data prediction...

This paper introduces fault diagnosis method and its mathematical descriptionthe of fuzzy Petri nets, including the basic concept and rule representation. On the basis of the original fuzzy Petri net reasoning decision, the transition threshold judgment is proposed. This paper presents a fault diagnosis...

A general phenomenon puzzles all investors is that on one hand, most individual investors believe they need to construct the portfolio consisting of 15 or more stocks to prevent risk because that large investment companies frequently get high returns is due to they obey the existing investment theory...

In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models. We exploit the characteristics, imprecise or ambiguous information, of fuzzy theory to map the algorithm of crisp inputs and outputs, furthermore, model problems, product a nonlinear function, and...