Advanced Materials Research Vols. 179-180

Abstract: This paper proposes an advanced iterative decoding scheme based on stopping criterion for BICM-ID embedded turbo codes. A fixed iterative number scheme has been used in the receiver and lower complexity than the conventional schedule can be achieved. To acquire a smaller total iterative number and fewer calculations of CE, the maximum and minimum iterative numbers (Imax/Imin) are introduced in this proposed scheme. However, iterative numbers which correspond to different SNRs are varied. In order to receive better flexibility, both Imax and Imin, whose values are not unique, are determined by the statistics of the average iterative numbers and the CG criterion. Simulation results confirm that, compared with the fixed iterative number scheme, similar BER performances and much lower complexity can be achieved. Further improvement of the adaptability results from this self-adaptive option of Imax/Imin.

Abstract: The natural attenuation process was studied by vadose zone simulating indoor to quantify the adsorption, biodegradation and volatilization of diesel oil. Through adsorption experiment, adsorption equilibrium time of diesel sewage by fine sand was 24 h, and maximum theoretical adsorbance to Total Petroleum Hydrocarbon (TPH) was calculated to 234 mg/kg. Through the contrasts of three columns, the first-order attenuation kinetics equations of biodegradation and volatilization in the diesel polluted sand layer of vadose zone and the half-life time were established. According to the experiments, absorption, biodegradation and volatilization all played important roles, they were very major roles in natural attenuation.

Abstract: The first of all, the multidisciplinary modeling and analyzing for the electric power steering system (EPS) is made. The design method based on the model is proposed and the EPS control system is analyzed. On the basis of deeply observing and studying S/T singular value curves, a robust control algorithm of back-calculation is put forward. After analyzing the deficiency in the single-loop control structure of the EPS, the dual-loop control structure of the EPS is developed. The inner loop controller is designed using the single neuron PID algorithm, and the new robust control algorithm is proposed to design the outer loop controller. The simulation results in the frequency-domain S/T curves of the EPS system and the hand force step input of the steering wheel show that the designed controller is simple and effective, and has good robust stability and robust performance.

Abstract: Applying the method of finite element analysis, the finite element model of sub-frame of an automobile was built. With the aid of MSC software, longitudinal force operating mode which was pre-verified to be the most critical mode, was chosen for the static strength analysis and fatigue life simulation analysis of the sub-frame. Then the stress and fatigue life nephograms of the sub-frame were gotten. Comparison between finite element analysis and experiment result indicated that the finite element model can practically and properly reflect the real stress distribution of the sub-frame. Finally, based on this finite element model, some structure optimizations were done. After structure optimizations, the stress level was obviously improved. This method of FEA simulation together with experimental verification, significantly reduces the development cycle of new products, and is of important value in product design and quality improvement.

Abstract: Nitrogen and lanthanum co-doped nanocsystalline titania photocatalysts were prepared by a homogeneous precipitation-hydrothermal process. The photocatalytic activity of the prepared samples on photodegradation of rhodamine B in visible light irradiation was studied. The nitrogen and lanthanum co-doping could greatly improve the photocatalytic activity of titania in visible light irradiation, probablely due to a synergistic effect of co-doping. The nitrogen doping could narrow the band gap of titania and enhance the utilization efficiency of visible light, while the lanthanum doping could accelerate the separation of photo-generated electrons and holes. Furthermore, the lanthanum doping could increase the adsorption of organic pollutants on the surface of photocatalyst.

Abstract: Based on the experiment in lab and the investigation in study site, we have studied the adsorption of fine sand, medium sand and coarse sand which composes the aquifer. The different type's soil is different to the petroleum adsorption, the adsorptive capacity of fine sand is strongest, the coarse sand adsorption is worst. The adsorptive capacity of Sandy in 33.8% to 46.1%, adsorptive capacity of gravel is 9.2%. Freundlich model is more accurate to explain the sorption of the sands. The adsorption reaction of sand is very rapid, and it often only needs less than a day to reach adsorption reaction balance. The pollution levels are underestimated, and has been underestimated approximately 37.1% to 41.4%, and adsorption attenuation is a main action in study site.

Abstract: Cloud Computing technology enables the sharing and collaborating of wide variety of resources. To fully utilize these resources, effective discovery techniques are necessities. Proposing and designing a resource discovery scheme based on Economic Agent. Base on the economic model and the technique in agent of grouping nodes sharing similar files to improve efficiency, this thesis suggests a resource discovery scheme based on economic agent, which is called EAGRD. Theoretical models on resource discovery are provided, under which EAGRD is compared with existing schemes theoretically. By controlling propagation of message into related communities, EAGRD improves time and network efficiency at the cost of topological maintenance overhead. Results from simulation demonstrate that this architecture is very effective in Cloud Computing resource discovery.

Abstract: Distribution of static interference pressure between a thin-wall flexible cup and a flexible shaft fluctuates heavily along the axis of the cup and is quite different from pressure distribution of common interference styles. In this article, aiming at solving distribution of static interference pressure between a thin-wall flexible cup with much thicker bottom and a hollow flexible shaft, mechanical model and mathematical model of solving the problem were built based on classic thin shell theory. Special difference is that precise special solution of bending equation of thin cylindrical shell was used to substitute the special solution which is original from bending deformation of thin cylindrical shell in no moment status. And a brand new general solution, the relational expression between bending deformation of thin wall of the cup and distribution of the static interference pressure, was obtained. Then, a method used to solve the pressure distribution was presented by solving integral equation and applying superposition principle for the first time. Through using the method to solve an example and comparing calculated results with FEM results, it was proved that the method is correct and effective.

Abstract: Task scheduling is an important research topic of real-time systems. Compared with the common real-time systems, CNC system has its own features. In this paper, we propose an adaptive task scheduling model for CNC system and analyze its schedulability. The model is suitable to the uncertainty of open computing environment and can accept the running of different types of tasks. It can compute band changes according to the latest changes of system resources and task requirements. It adjusts tasks’ priorities adaptively and makes the system run in optimal real-time performance. On the basis of CNC system, we will further optimize the model by studying the characteristics of periodic tasks and scheduling time overhead. Finally, this model will be used in practical CNC system.

Abstract: In this paper, we firstly get the Regions of Interest (ROI) using the Eye tracker and divide every image into two regions including ROI and Non- Regions of Interest (Non-ROI). Secondly, we extract the features of the two regions including ROI and Non-ROI, and get the whole features including texture feature and color feature. Finally, a fuzzy inference network model for image emotion notation using neural logic network is presented. The model describes how to classify the images into different emotions, and neural logic network is used to classification. The learning method proposed is multi-featured, and it allows taking into account the possible predictive power of a simultaneously considered feature conjunction. On the other hand, the feature space partition allows a fuzzy representation of the features and data imprecision integration.