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Phenolic acids, the most common plant secondary metabolites, are involved in controlling adventitious root formation and development. Plantlets of tree peony (Paeonia suffruticosa), a phenolic acid-rich plant, are generally difficult to root in vitro. In this study, 12 phenolic acids were detected in seedlings of tree peony; the most abundant was paeonol, followed by acetovanillone, paeoniflorin,...
The design of 3D scene should follow the rules of architecture's organization. At present, the 3D scene design are usually carried out by art designer who lack the knowledge of architecture. A method is proposed in this paper to solve the problem. We improved the interactive genetic algorithm to obtain the best adaptive features, and combined the ART1 network to simulate the behavior of users to evaluate...
Aiming at the functional requirements of the Express Supervision System, This paper discusses the advantages of using AngularJS to build the front-end framework, the advantages of using NodeJS to construct the back-end Web server, and the performance advantages of storing data based on MongoDB. This paper focuses on the storage solutions of using MongoDB to store large data and the statistical analysis...
Although DOTA2 is a popular game around the world, no clear algorithm or software are designed to forecast the winning probability by analyzing the lineups. However, the author finds that Naive Bayes classifier, one of the most common classification algorithm, can analyze the lineups and predict the outcome according to the lineups and gives an improved Naive Bayes classifier. Using the DOTA2 data...
Coming with the big data era, our traditional TV media is under the impact of new media, directly reflect in the loss of customers and a serious decline in advertising. This paper analyzes the main problem television media confronting in the big data era, calls the need for the big data platform of television media to solve these problems, and proposes the general idea of big data platform television...
The development of computer's application changes our daily life. Online maps application and popularization provide us a more convenience life. As individual users, we usually search for single or several map markers on the Internet. For the existing online map, whether from the positioning accuracy, reaction speed, and operating convenience aspects, it is an advanced system. But for the abundant...
How to effectively utilize the computing resource remains a longstanding challenge in MapReduce application, and MapReduce system productivity has become a major issue in research field. In the paper, we explored the productivity mathematical models for MapReduce system, defining the productivity as the ratio of the workload and energy consumption per unit time, and proposed the measurement approach...
With the development of Internet technology and the arrival of the era of big data, it is necessary to analyze and excavate the micro video data. It can help micro video creators to create better to analysis micro video data. This paper mainly introduces the structure design, key technical points and specific implementation steps of the micro video topic recommendation system.
Cloud computing is the product of a traditional classical computer technology, communications technology integration and development, also the key technology to lead information industry means to the future of innovation. This article describes the key technology of cloud computing, reviews cloud computing for industry development status and analyzes the applications of radio and television carrier...
This paper discusses the necessity and importance of the establishment of big data from the current predicament of cable TV industry, and introduces the current situation of the development of big data of Internet and telecommunication industry, and expounds that the cable industry how to deal with and develop big data from many aspects, which ensure that cable industry can have the dominant position...
With the rapid development of big data and the national big data strategy is put forward, the Web server cluster facing more complex and severe challenges. The traditional load balancing algorithm has obvious limitations. This paper proposes a dynamic load-balancing model based on the SSAWF (Strong Suspend And Weak Forecast) mechanism. This model uses strong suspend mechanism and cubic exponential...
The graph-based algorithm for personalized recommendations mainly depends on the user-item model to construct a bipartite graph. We can provide recommendations by analyzing the bipartite graphs. However, for personalized videos recommendations, the classical recommendation algorithm based on graphs has low efficiency. Therefore, this paper gives an improved video recommendation algorithm that is based...
In the logistics industry, if every business know the flow and flow direction of different items and the type of items clearly, it will convenient for the business to make sales plan in time and improve the income. Based on the idea, this paper designs a method, which for carry out statistical analysis on the flow of items, and introduce the specific process. Face with the data which has large quantity,...
Nowadays, people pursuit of fast and convenient way of life, fast and convenient service of ATM is made for people to avoid waiting in line at the bank for a long time. In order to serve people conveniently, it is need to monitor the ATM equipment to guarantee its normal operation, and deal with the unexpected problems in time. Therefore, this paper builds a cloud platform for alarm service, does...
The most direct access to evaluate what kinds of topics are valuable for video producers, and bring them inspiration is to seek subjects which specific groups concern currently. We can obtain massive user information from social networking platforms, large video sites and search engines, and then exploit the data to produce more practical works with the combination of business requirements. In views...
With the development of Internet, shopping on the internet is becoming more and more popular. In the meantime, the massive commodity make the experience of online shopping bad. In order to solve this problem, commodity recommendation system is applied into e-commerce platform and the experience of online shopping has been promoted. Essentially, commodity recommendation is a kind of behavior prediction...
Biogeography-based optimization (BBO) is a recently-developed algorithm that uses migration to share information among candidate solutions. We use differential evolution algorithm's mutation operator to improve the individual migration operator, and take an adaptive method in setting the value of the scaling factor. The new individual migration is combined with two traditional gene migrations, thus...
With the development of science and technology, it generates a large amount of data. Data visualization is an important branch to help people get a better understanding of the changing trend of data. Data visualization is a significant method to Big Data Analysis, which shows the importance of data in a visual form. By using data visualization, people can easily find the association between data....
Huang and Wu proposed a new network which is called balanced hypercube, the balanced hypercube is a variant of the hypercube network. As a crucial factor to evaluate the performance of the interconnection networks, fault tolerance of the interconnection networks has been widely studied in recent years. Hence, it is nature to consider the fault tolerance of the balanced hypercubes. Wu and Huang have...
Many available algorithms are structurally recursive and can invoke the typical algorithm itself once or even more times to solve tightly related sub-problems. All of these algorithms follow the major principle called Divided-and-Conquer method, which first divides initial problem into several items same in goals but have a smaller scale. The Merge Sort uses this ideology to compass complexity and...
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