Advanced Materials Research Vols. 779-780

Abstract: In this paper, an algorithm of the Rough-ISM analysis method is proposed. The Rough-ISM analysis method is the combination of the Rough set theory and Interpretive Structural Modeling (ISM). It is not only a simple research method, also a practical way to find the students misconceptions. In addition, the most important thing is that the analysis method can overcome fewer participates and problems through Rough set theory statistically. Through the analysis method, common misconceptions of whole class can be found and then and then supplying teaching path for teachers to conducting remedial teaching based on common misconceptions. Finally, a practical example is provided to make the calculate process more clearly.

Abstract: Compaction management, also referred to as intelligent compaction (IC), is a real time automatic operation adjustment and continuous compaction control technology of soils or asphalt layers. It is essentially a technology for optimization and evaluation of the compaction process, being capable of adjusting the compaction energy applied to the material, increasing or decreasing compaction efficiency in the necessary areas according to an acceptance target value, thus attaining maximum stiffness, while preventing overcompaction and minimizing the total number of passes. This study seeks to assess in a case study the IC performance, in comparison with conventional compaction methods in terms of efficiency in compaction of a sandy soil. For this purpose, a specific experimental section was carried out in which the performance of an IC compactor was compared with a conventional heavier class compactor. Data was obtained and analysed by the IC continuous information, as well as by the application of several different conventional compaction control tests and methods. Results show that the IC technology presents a superior performance, as well as various advantages when compared to conventional compactors.

Abstract: For the system analysis and design, the research of the stability of system model has always been the primary problem to considerate and solve, unstable system is actually not paid for use. Combining classic mathematical analysis and Lyapunov (Lyapunov) stability of the Criterion, we get the stability of the conclusions that its asymptotic stability only depend on development factor, regardless of the gray action and time interval .The research provide new ideas and methods for non-interval model stability studies.

Abstract: Track irregularity is objective existence, it cant be eliminated. But, we can formulate reasonable repair and maintenance plans to increase the efficiency of track maintenance and ensure safety, if the prediction of track irregularity is effective. In this paper, on the basis of analyzing on the irregularity forecast method and the "memory" of ballast track, a method based on most possible similarity model is introduced. This method is going to find irregularity in history most close to the current, and use its development to predict the current development. The longitudinal level irregularity of Hefei-Wuhan line was predicted, and results indicate that prediction graphics were consistent with the actual graphics in trend. So, using this model to predict development trend of track longitudinal irregularity is feasible.

Abstract: A novel fault tree analysis theory is introduced for the ambiguity in complex systems. In the theory, the frequency grey number, which can express the events subjective ambiguity and objective ambiguity, is introduced to express the degree and probability that the components go wrong, dynamic envelope is applied to score the relation among components, and a new logic gate, Grey-gate, is advanced for expressing the effect of system reliability when the components go wrong. Finally, the theory is applied to analyze the fault effect of the system with software and hardware.

Abstract: The technology of Radio Frequency Identification, namely RFID, has been widely used in service industry for identification. The RFID system is design for inexpensive and reliable purpose in automatic identification. However, very few researchers focused on remote control module in a long range and high speed environment. This study proposed a long range active tag technology and illustrated how to implement it in traffic management system for solving the problem of traffic crowding.

Abstract: A solution was proposed for the purpose of backlight. According to the principle of three primary color£¬A kind of RGB led backlight was designed with ncp6223 chip dedicated to the RGB illumination or backlight LCD display when ncp5623 was controlled by MCU. The realization of I²C bus which was used to control ncp5623 was taken the measure of direct driving of ncp5623 Using two arbitrary general-purpose IO pin of MCU. In respect of communication protocol, the software simulation was taken. Moreover only minimum system was needed for MCU. This method mentioned above simplified design and cut the cost because of absence of master I2C controller. In respect of software design, every template which realized a function of ncp5623 in the manner of software simulation of I2c protocol was given. In another word, a general method was given. From these templates, a lot of design such as Gradual intensity Dimming, RGB function and so on can be realized. This has a great signification for teaching and practice.

Abstract: Although the geographic routing protocols have better hop stretch,control overhead, storage cost and scalability than other existing routingprotocols for wireless sensor networks, source nodes need to know thecoordinates of destinations before routing data packets. To deploy thegeographic routing protocols on the real networks, it should integrate theseprotocols with location service and even virtual coordinates assignmentalgorithms. However, so far, because of the limited executable memory of sensornode, there is not a geographic routing system presented, which integrates withgeographic routing protocols and location service. Based on the above reason, anew Bloom Filter routing protocol for wireless sensor networks (BFR) ispro-posed. Like VRR, BFR is based on the identifier of sensor node butEuclidean space, so when it routes, it does not depend on the geographicinformation of nodes. Experimental results show that, compared to VRR, BFR haslower hop stretch, the storage cost and control overhead are much lower. Theresults also show that BFR is more scalable than VRR. Same as VRR, BFR can bedirectly deployed on the real sensor networks.

Abstract: E-book reader is analyzed based on Kansei Engineering this paper. Investigation about e-book reader has been made and the investigation results are analyzed to get intention diagram, using quantitative theory IV class to establish engineering model. Improvement trend of the e-book reader is put forward to provide theoretical support for e-book reader.

Abstract: During the past two decades, most researchers employed a questionnaire to characterize the effect of noise on psychosomatic responses. Developments in physiological techniques offer a non-invasive method for recording brain activity with electroencephalography (EEG). This method for assessing the impact of noise on attention is growing in popularity. The aim of this study was to investigate brain activity changes in response to noise exposure during attention-demanding tasks by using EEG power and phase coherence estimation. We hypothesized that brain rhythms could be affected by environmental stimuli and would be reflected in the EEG power and phase coherence. Nineteen healthy right-handed university students (mean age = 21.5 ± 2.0 years) participated in this study. The experiment comprised recording EEG data for participants in the following steps: rest with eyes closed (< 50 dBA), rest with eyes open, listening in a noisy environment (85 dBA), performance on an attention-demanding task in a quiet environment (< 50 dBA), and performance on an attention-demanding task in a noisy environment (85 dBA). Significant differences were observed between stages, and the participants performed more effectively in the quiet environment, where they showed higher rates of correct responses (p <.05). From the assessment of the EEG power and phase coherence estimation, the study demonstrated the following: (1) Alpha-2 (10-13 Hz) power and phase coherence decreased when participants shifted from closed eyes to open eyes, while theta power increased. (2) In contrast, during the noise exposure phase, whether during an attention-demanding task or not, beta (13-30 Hz) phase coherence decreased in the brain, but theta phase coherence was not affected compared to the results in the quiet environment. We suggest that the high frequency of neural synchronization is relevant for cognitive performance, and that participants at risk for selective attention are affected by noise exposure.