Advanced Materials Research Vols. 121-122

Abstract: A recognition method for traffic signs based on an SIFT features is proposed to solve the problems of distortion and occlusion. SIFT features are first extracted from traffic signs and matched by using the Euclidean distance. Then the recognition is implemented based on the similarity. Experimental results show that the proposed method, superior to traditional method, can excellently recognize traffic signs with the transformation of scale, rotation, and distortion and has a good ability of anti-noise and anti-occlusion.

Abstract: This document explains and demonstrates on the Normalization for Internet computing and Modeling of Conceptual Model XML-based. The existing XML conceptual models have their limitation, largely because the semantic, such as “containment” and “multiple-scope”, could not be sufficiently described. XUML is a XML conceptual model based on UML. It is independent of specific XML schema definition language, and puts emphasis on describing relationships between domain concepts and defining related semantic constrains. XML normalization theory is recently a research focus, but the existing research outcomes are very complex so they are hard to be understood by XML designers. The development of database design methodology reveals that it is more effective to apply normalization theory in conceptual design than that in logical design. By following the successful approach, the characteristics of XML normal form are represented in XUML. Several XUML forms are defined, and the normalization based on XUML is investigated. The research on XML normalization theory further enhances XUML methodology. So we show the process of XML normalization in XML conceptual model in the paper. And several normalization methods are introduced. Finally, an example is presented to explain the general application of XML normalization methods.

Abstract: A number of different forecasting methods have been proposed for cooling load forecasting including historic method, real-time method, time series analysis, and artificial neural networks, but accuracy and time efficiency in prediction are a couple of contradictions to be hard to resolve for building cooling load prediction. In order to improve the prediction accuracy of cooling load time series, weighted least squares support vector machine regression (WLS-SVM) method for a chaotic cooling load prediction is proposed. In this method, a sliding time window is built and data in the sliding time window are employed to reconstruct the dynamic model. Different weights are assigned to different data in the sliding time window, and the model parameters are refreshed on-line with the rolling of the time window. The results show that the method has more superior performance than other methods like LS-SVM.

Abstract: Retracted paper: Object-oriented is an important feature of operating system, and it is not exclusive to its micro-kernel architecture but promoting it. Object-oriented technology embodies design and implementation, which makes idea and realization possible. Due to the openness of transmission medium, LAN communication requests higher and better steganography-keeping performance. Through the features of LAN network security, the LAN security framework and hierarchical network security technology are proposed. Based on the basic principles and common methods of steganography information and the commonly used methods, combined with steganography capacity and the distortion changes of statistical properties, the improved LSB steganography writing with anti-steganography is given. In conclusion, the method can write different amount of data in different regions.

Abstract: According to blue-tooth viruses spread actuality, an epidemic model of blue-tooth phone virus is proposed in this paper. In this epidemic model, we proposed four basic statues to represent smart phones in different states. We also introduced some factors which can affect the basic trend of virus spreading, such as density of smart phones, length of malicious code and so on. But we mainly focused on parameter of spreading rate, and defined it as a variable which could change with time. At the end of this model, the simulation results showed the development tendency of this propagation model.

Abstract: Multiple Input Multiple Output (MIMO) radar is a new emerging radar technique developed recently. In this paper, the principle of MIMO Radar based on transmitting diversity is described and then the data fusion technique for MIMO radar is presented. In this method, the detection result of each detector of MIMO radar is integrated in data fusion center, a final detection result is get which includes all the information of each detector result.

Abstract: MIMO radar (Multiple input multiple output radar) is a novel radar technique developed recently. It can achieve better detection performance than conventional phased radar. In this paper, the MIMO radar signal model is studied, and then the signal processing flow of the MIMO radar is researched. At last, a simulation platform with the Matlab is established to testify the advantage of MIMO radar over its conventional counterpart.

Abstract: How to effectively locate resources is a very important factor affecting the performance of distributed system in wide area network environments. Some resource location methods have been already proposed, which utilize Small World phenomena, but have not show how to construct a Small World exactly. In this paper, on the base of Kleinberg Small World model, aimed power-law characteristics, an efficient decentralized construction approach PLSWCP(Power-law oriented Small World Construction Protocol) is proposed, which uses fairly small partial view instead of global knowledge of network. Theoretical analysis and simulations show that PLSWCP is scalable, self-adaptable, and load-balanced, improving the efficiency of resource location.

Abstract: Parameter-induced stochastic resonance (PSR) using double potential well model was focused in this paper. Based on the former stochastic resonance study, system parameter µ was used to explore the resonance characteristics. A bluetooth-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed noise intensity range, the changes of system parameter µ led to a systematic output resonance. Simulating results demonstrated that the systematic parameter µ could lead to stochastic resonance at signal processing level.

Abstract: Wireless sensor network (WSN) consists of tiny nodes with sensing, actuating, computation, wireless communications capabilities. Because of node's limited energy, the energy control Routing metric is becoming an important research topic, this paper firstly makes a summary to the existing routing metrics, accordingly analyzes that it is deficient to design routing protocols for wireless sensor networks based existing routing metric. Secondly, finds the several key characteristics of wireless sensor networks communication link. Finally, the energy control routing metric is proposed in the paper and this routing metric is adopted to improve the traditional directed diffusion routing protocol. Simulation results show that the optimization transmits power can reduce lots of power consumptions, which will meet to industrial requirements.