Advanced Materials Research
Vol. 800
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Advanced Materials Research
Vols. 798-799
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Vol. 797
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Advanced Materials Research
Vol. 796
Vol. 796
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Vol. 795
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Vol. 794
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Advanced Materials Research
Vols. 791-793
Vols. 791-793
Advanced Materials Research
Vol. 790
Vol. 790
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Vol. 789
Vol. 789
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Vol. 788
Vol. 788
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Vol. 787
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Vols. 785-786
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Advanced Materials Research
Vols. 781-784
Vols. 781-784
Advanced Materials Research Vols. 791-793
Paper Title Page
Abstract: In this paper, experimental study on gasoline vapor explosion was conducted with data acquisition technology of high-speed camera. In the experiments, the flame behaviors and the flow field movements were shot by the high-speed camera, the space pressure were recorded by high-speed dynamic tester, and the explosion process were analyzed refinedly and intuitively. Studies have shown that according to variations of flame behaviors and pressure characteristics, process of gasoline vapor explosion can be divided into four stages: the ignition stage, the development stage, the intensification stage and the plume stage.
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Abstract: Aiming at avoiding misregistration in complicated medical image registration based on SURF (Speed-Up Robust Features)-TPS (Thin-Plate Spline), we propose a novel algorithm. This method is based on SURF and human interaction method for feature extraction. Then we improve SURF-TPS and propose an algorithm named TPS-SEMISURF which obtains the deformation field by calculating the Thin-plate spline of the feature points, and finally does the medical image non-rigid registration according to the parameters. Experimental results showed that the proposed method can register medical images effectively. It has a good robustness and owns better precision and rate than traditional algorithm.
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Abstract: The establishment of big data is completed based on the data captured by automotive electronic systems and cameras on the highway. This kind of crowdsourcing model for data gathering can not only accomplish the accurate collection of enormous data, but also solves the problem of high costs. After the collection of data, the isolated data is linked with each other and shared. In this way, the data will be socialized so as to establish the truly big data. With the big data collected, data center makes an analysis and mining to schedule, monitor and manage the transportation intelligently.
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Abstract: Polyphase FIR filters are applied in many practical Digital Signal Processing applications where the sampling rate needs to be changed. This paper focuses on the implementation of polyphase square root raised cosine (SRRC) FIR filter based on Field Programmable Gate Array (FPGA). The filter employs methods like filter's multiphase structure, symmetrical coefficients, I/Q channel multiplexing, pipeline addition and so on to design the SRRC filter. Compared with the traditional method, the designed FIR filter exhibits the advantages of high response speed and low hardware resource s consumption.
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Abstract: There is MAI(multiple access interference) both inside and outside the cell in the multiple access system,which greatly limits the property of the channel estimation.Different approaches of pilot design often lead to different results of channel estimation and directly affect the MSE(mean squared error).But the use of optimal pilot sequences can eliminate the MAI in the cell.This paper presents a approach of optimal pilot design in the MIMO-OFDM system, aiming at the function of MMSE of the LS channel estimation.The approach can eliminate the MAI in the cell and the simulation results reveals that it can truely do that.
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Abstract: In the high-precision multi-channel wireless telemetry systems, in order to complete a variety of tasks such as the system collection and control, parameter assignment, data storage, wireless command parsing, a dual-core framework is used, in which one of the FPGA is to control c the collection board control and another is to complete the core control. This paper focuses on exploring the working mechanism of the dual-core and mutual communication mechanism which is successfully applied to the actual system.
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Abstract: A detailed analysis is provided to discuss the effects of acoustic driving frequency and amplitude on bubble radial oscillation based on a revised bubble dynamical model. Numerical study demonstrates that 3 types of bubble radial oscillation can be achieved according to different driving signal frequency; driving signal amplitude affects oscillation differently due to its value, and a certain critical value of acoustic signal amplitude was found where the oscillation is becoming chaotic.
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Abstract: With the development and popularization of the information superhighway, people are surrounded by the sea of information. Exponential expansion of Internet information resources, is the vast amounts of information source, its information organization is heterogeneous, diverse, distribution and other features. therefore, can provide users with effective information recommendation, help users to find the valuable information you need the personalized recommendation system won wide attention in the field of Web information retrieval, and also in actual personalization service system has been widely applied in this paper, the personalized services recommendation system architecture to do some research, proposed a distinguishing the user long-term interests and immediate interests provide information to recommend a new model of personalized recommendation.
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Abstract: We propose a procedure to forecast earning of listed companies. It is a modification of method developed for forecasting series with stable seasonal patterns. The new method is motivated by the observations that seasonal patterns, which may be evolving over time and remain relative stability, arise in finance market. The method can be applied to forecast individual observations as well as the end-of-season totals. Empirical study will be conducted with data from finance market to evaluate the performance of the proposed method. The new method is proved more effective than traditional time series models.
2147
Abstract: This paper puts forward the financial wisdom, wisdom financial ecosystem concept and customer benefits, sums up the wisdom financial work process including perception, analysis, decision-making, division of labor, reaction and service six steps, summarized the wisdom financial has characteristics transparency, convenience, immediacy, efficiency, security, innovation, better risk management, Internet and integration, etc.
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