Advanced Materials Research Vols. 989-994

Abstract: Data mining is the general methodology for retrieving useful information from big data. Clustering analysis is a mathematical method of classification for unsupervised machine learning. It can be adopted for data classification in Data mining. This paper combines the clustering process by fuzzy way and then deduces a special clustering algorithm with fast fuzzy c-means (FFCM) method. In summary, the paper illustrates the adoption of a series of fuzzy clustering methods in Data Mining. These methods have improved the computational efficiency with learning as the convergence speed is fast. The methodology of this paper presents significantly meaningful for information retrieval of big data.

Abstract: In order to mitigate the downlink interference in two-tier femtocell networks, a joint spectrum and power allocation algorithm based on graph and game theory is proposed in this paper. On the premise of ensuring the QoS (Quality of Service) of MUEs (microcell user equipments), we first adopt graph-based clustering algorithm to assign subbands to femtocells. Then, for femtocells of each cluster, their transmitting power is redistributed based on the non-cooperative game theory to further reduce the interference among them. Simulation results show that this algorithm can further improves the performance of the entire system compared with pure clustering strategy and ensures the QoS of MUEs at the same time.

Abstract: The virtual reality technology is used in the mine training simulation areas, which can overcome the limitations of traditional training methods effectively. It can also improve the quality of mine training simulation greatly, reduce training costs, and the users can achieve safe and convenient training. In this paper, a dynamic collision detection algorithm is proposed based on the prediction of the movement direction of a virtual hand, and it is the effective collision detection algorithm using data glove in the mine training simulation system. Compared with the traditional static collision detection algorithm in the performance, the dynamic algorithm is proposed to solve the collision detection between one simulation solid model and another one, and to achieve the function that a virtual hand grip and rotate virtual objects in the virtual environment. The dynamic collision detection algorithm can be extended to other simulation systems.

Abstract: In this practical, a program of t9-like recognition of a word will be implemented. The n-gram model will be adopted for the recognizing process. Finally, the program will be evaluated for both types with smoothing and no smoothing.

Abstract: Mind sports games is rose in recent years, which is the comprehensive sports event taking the chess sports as the main part, and it is a perfect combination of human intelligence and sports art. Due to a simple history of mind sports games, there exists some problems that are the imbalance of development, lack of funds, and event organization difficulty, which has restricted the rapid development of mind sports games. Aiming at the problems of mind sports games encountering in the development, the paper first proposes the coupling development mechanism for the organization of mind sports games and its development mechanism, and then establishes the model of development mechanism based on the coupling reduction mechanism, and the model has been made simulation analysis. At last, the results show that the application of this coupling model can find the bottleneck of the development of mind sports games, so as to open the breakthrough point for its development, and to improve its development level.

Abstract: In this paper, we use the functional structural principle to extend genetic algorithm, and introduce it to the cultural industry data mining, which solves the problem of data redundancy in the data mining process, improves the data processing speed and design a computer processing system of cultural industry analysis. In order to verify the effectiveness and stability of the system, we use MATLAB numerical simulation to design the program of extension genetic algorithm data mining, and test the data mining using Simulink toolbox. Through calculation, we find with the increase of set threshold, the accuracy of data mining increases, the accuracy of extension genetic algorithm is much higher than the general genetic algorithm.

Abstract: Investment in fixed assets is the main aspects of the national government to implement macro-control economy, and it is also the pillar of national economic growth. At the same time, the investment of enterprise fixed assets is to upgrade its commercial value and add the main source of income. However, in the current business competition, many enterprises especially private enterprises often make the mistake of judgment, resulting in too much investment, investment deviation and other consequences, which blocks the development of enterprises and the growth of the national economy. Firstly, this paper analyzes the computer aided technology, and constructs the fixed asset investment model based on database management technology, and does computer simulation on this model. The results show that the investment model can help enterprises to make reasonable investment decision and support theory, which promotes the enterprise value.

Abstract: Artificial neural network is a kind of network system that simulating human brain information processing mechanism developed on the basis of modern neurobiology research. It not only has the ability to deal with general calculation of numerical data, but also has the thinking for processing knowledge and memory ability of learning. Data mining process based on neural network consists of data preparation, rules extraction and evaluation. In this paper, the research status of data mining, neural network, development trend and application field are reviewed and this paper expounds the basic concepts of data mining, neural network, the basic model and the traditional implementation method.

Abstract: Retracted paper: Many system administrators would agree that, had it not been for hash tables, the simulation of sensor networks might never have occurred. Given the current status of real-time epistemologies, researchers compellingly desire the development of write-back caches, which embodies the confirmed principles of hardware and architecture. We propose a system for digital-to-analog converters, which we call StelaLoma. Even though it at first glance seems unexpected, it is derived from known results.

Abstract: In this paper, first we introduce the digital image algorithm of Canny edge detection, and then simulation results of Canny edge detection are given particularly. Test results show that the improved algorithm improves the accuracy of edge detection effectively. Secondly, the algorithm of the region growth, which algorithm is divided into two parts: one is growing region; the other is merging region, is realized. Finally, based on above analysis, we find out that a continuous boundary is not obtained by edge detection, and the method of regional extraction may produce transition segmentation. In response to these deficiencies, we present a region growth algorithm of edge detection.