Advanced Materials Research
Vols. 123-125
Vols. 123-125
Advanced Materials Research
Vols. 121-122
Vols. 121-122
Advanced Materials Research
Vols. 118-120
Vols. 118-120
Advanced Materials Research
Vol. 117
Vol. 117
Advanced Materials Research
Vols. 113-116
Vols. 113-116
Advanced Materials Research
Vol. 112
Vol. 112
Advanced Materials Research
Vols. 108-111
Vols. 108-111
Advanced Materials Research
Vol. 107
Vol. 107
Advanced Materials Research
Vols. 105-106
Vols. 105-106
Advanced Materials Research
Vols. 102-104
Vols. 102-104
Advanced Materials Research
Vols. 97-101
Vols. 97-101
Advanced Materials Research
Vol. 96
Vol. 96
Advanced Materials Research
Vol. 95
Vol. 95
Advanced Materials Research Vols. 108-111
Paper Title Page
Abstract: Trusted computing technology is a basic and entirely solution for security problems of computer. In order to solve the security problem caused by dynamics and the uncertainty of the grid environment, the article has put forward a new trust model based on behavior and trusted computing to deal with the trusting relationship among the entities, and take different methods to deal with to the trusting relationship between inner-domain and intra-domain based on the concept of Identity right, and a method for measuring and evaluating the behavior trust are provided.
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Abstract: Financial crisis early warning analysis is a matter of grave social and economic concern. It is important for enterprises, commercial banks and various investors. This is an exploratory study to determine if financial ratios of crisis companies differ from those of no crisis companies. The crisis firms (n=63) were then matched with no crisis firms on the basis of firm size, time period, and industry. Using this matched-pairs design, choose 63 listed companies, which are marked ST companies because of abnormal financial standing in Shanghai and Shenzhen in 2006, form the financial crisis samples, and choose some similar sized listed companies in same industry as matching samples, Taking the index of property liabilities ratio, audit opinion, finance lever ratio, gross property net profit ratio, sales revenue growth ratio and cash flux to current liability ratio as the final variants, set up the discriminant model by Fisher’ coefficient, conduct the case analysis of financial crisis early warning. These results provide empirical evidence of the limited ability of financial ratios to detect and predict crisis financial reporting.
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Abstract: Video surveillance play an important role in many ITS. In this paper, we present a fast and reliable algorithm for detecting traffic flow count. The core of the algorithm relies on Gaussian mixture background model combined fast cross-correlation region-based techniques in moving object matching. By working with adaptive Gaussian mixture model, obtained the moving vehicle as foreground. Then, fast local correlation, referred to as single matching phase, is achieved by using recursive computation schemes, which enabled us to minimize the amount of calculations required at every new pixel. We have tested our match algorithm in a large set of experiments with video clips and achieved good matching results.
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Abstract: This paper pointed out that the time series of rural energy consumption in China had a chaotic process, the maximum of range forecasting was 7.8 years, and then built a chaos-neural network forecasting model of China's rural energy consumption, the result showed that the total rural energy consumption would reach 1276.3307 million tones standard coal equivalent in 2010. Finally, some advices were proposed to the development of rural energy.
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Abstract: understanding the characteristics of user activities make sense to various application designs, and consequently has impact on business benefit directly. In this paper, we present a study of a peer to peer (P2P) live streaming system based on measurement. We classify those channels into three types and study the statistical characteristics on user behaviors, such as user arriving and leaving, especially we conduct an in-depth analysis of their relations with program time point and time duration. We observe that users behave differently not only inside different type of channels but also different programs. We find that 1) peers watching time duration has no necessary relationship with peer interest; 2) peers watching time duration is enormously affected by program arrangement; 3) peers behavior is substantially active in the first 10min of a program. We also come up with a heuristic model about the number of online peers during a program and the watching time duration of one online user. Our study can be used as a reference for arranging the program resources and channel resources so as to attract more viewers to stay longer in the streaming system. This has important implications on not only the design and development of P2P streaming system and IPTV systems, but also the existing general TV system.
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Abstract: In this paper we do some researches on the ARQ mechanism which provides the probability of involving the relay nodes into the UWB multi-hop network. The ARQ mechanism we designed combines PWMR ARQ and Relay ARQ, which can perform on both the end nodes and relay nodes. Then we make a theoretical analysis of the indoor UWB channel model and give a Finite-state Markov linker layer model. With the simulation results, we can get the conclusion that using ARQ mechanism designed in this paper significant enhances throughput, time delay and bandwidth utilization of the UWB multi-hop network.
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Abstract: Active contour model is an important research field in computer vision and many researchers studied the variational method in recent years. The traditional snake model is unable to converge to the concave area and it has a lower convergence. By improving the external energy, researchers introduced a gradient vector flow active contour model (GVFsnake). Several standard images are used to segmenting experiments, and the results show that GVF has obvious advantages compared with traditional snake model in the iteration number of force field. Experiments show that the method is faster and better to converge in the concave area. The edge information can be kept well and diffused more quickly.
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Abstract: Based on the data of large and medium-sized industrial enterprises put forward by National Bureau of Statistics of China, over the period 1991-2007, this paper empirically investigates the dynamic econometrical relationship among R&D, technology transfer, including imports of technology and purchase of domestic technology and innovation performance which is denoted by new product sales, using ADF unit root test, co-integration analysis and granger causality test. The empirical research results indicate that innovation performance is granger causing R&D and technology transfer, while R&D and technology transfer are not granger causing innovation performance. Neither the feedback effect between R&D and innovation performance nor that between technology transfer and innovation performance is occurring.
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Abstract: Based on the provincial panel data put forward by National Bureau of Statistics of China, over the period 2000-2006, this paper empirically investigates the impacts of different channels for international technological spillovers on regional innovation performance, using regional innovation performance as dependent variable, and the channels for international technological spillovers as independent variables. The empirical results in this paper indicate that learning-by-exporting and learning-by-importing have positive effects on regional innovation performance in China, and that foreign R&D activities by multinational enterprises in China have positive and statistically significant effects on regional innovation performance. In addition, absorptive capability is an important driving factor for increasing the regional innovation performance in China. Research results indicate that both international technological spillover sources and indigenous efforts, including domestic R&D intensity and absorptive capacity jointly determine the regional innovation performance in China.
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Abstract: The structural durability of wheel loader are required to estimate on the basis of design loading spectrum, which is a spectrum combination of various operating and loading conditions. To generate the load spectrum of transmission system, an actual operational loads of wheel loader under the driving cycle was investigated. A signal collection system was applied to get time-history voltage signals and then torque loads were obtained according to the conversion coefficient between voltage and torque. After zeroing and filtering, the mean, the amplitude and number of load cycles were gained with the rain-flow counting method. The mean and amplitude were tested by Nominal distribution and Weibull distribution respectively. Test results show that they are independent. The two-dimensional joint probability density function of amplitude and mean was gained. After extrapolation, the load spectrum of the spacerflange under whole-life cycle is gained and the process of compiling load spectrum is also provided.
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