Advanced Materials Research Vol. 918

Abstract: Considering the uncertainty of waste electronic recovery quantity in consumption areas and recycling rate in dismantling centers, a robust optimization model for single-cycle waste electronic recycling network with capacity constraints is established to determine the number and location of the facilities, the flows between each facility. A numerical example is provided to demonstrate the feasibility of the model.

Abstract: A lot of computer test system adopts objective topic given points by the computer, and the subjective topic is by the teachers review to points, giving teachers a lot of extra work. A targeted intelligence marking scheme is put forward in this paper, and connecting with the actual situation, designed and simulated the implements an intelligent system. With the aid of certain criteria, the subjective topic grading and the analysis of the examinee answers, are reasonable subjective item grading, shorting the testing process, saving marking time, without subjective factors in the marking. So that student's result can objectively real reaction students have mastered the knowledge and teachers' teaching.

Abstract: In this paper, we use the optical dynamic grooming concept to design load balancer. This paper proposes a new solution to achieve optimal load balancing for a streaming server. Dynamic traffic grooming can be utilized in combination with multipath routing to serve the bandwidth intensive applications when resource is not sufficient in the optical network. At the same time, most of the connections require bandwidth smaller than the capacity available in a wavelength, leading to low resource utilization of established light-paths. Leveraging multipath routing and dynamic grooming can efficiently utilize the residual capacity of the under-used wavelengths [.We inherit the concept of dynamic traffic grooming in optical network. We were able to develop a Windows XP load balancer. We designed some experiments to evaluate the performance of our system to determine if our system was capable of achieving the load balance. The solution will allow enterprises and service providers to reach load balancing purposes without adding additional hardware by utilizing an idle, low cost switch.

Abstract: In distributed storage systems, erasure codes represent an attractive data redundancy solution which can provide the same reliability as replication requiring much less storage space. Multiple data losses happens usually and the lost data should be regenerated to maintain data redundancy in distributed storage systems. Regeneration for multiple data losses is expected to be finished as soon as possible, because the regeneration time can influence the data reliability and availability of distributed storage systems. However, multiple data losses is usually regenerated by regenerating single data loss one by one, which brings high entire regeneration time and severely reduces the data reliability and availability of distributed storage systems. In this paper, we propose a tree-structured parallel regeneration scheme based on regenerating codes (TPRORC) for multiple data losses in distributed storage systems. In our scheme, multiple regeneration trees based on regenerating code are constructed. Firstly, these trees are created independently, each of which dose not share any edges from the others and is responsible for one data loss; secondly, every regeneration tree based on regenerating codes owns the least network traffic and bandwidth optimized-paths for regenerating its data loss. Thus it can perform parallel regeneration for multiple data losses by using multiple optimized topology trees, in which network bandwidth is utilized efficiently and entire regeneration is overlapped. Our simulation results show that the tree-structured parallel regeneration scheme reduces the regeneration time significantly, compared to other regular regeneration schemes.

Abstract: Several approaches to dynamic modeling in economic such as ARIMA, GARCH, neural nets and error corrected models have become popular in recent years. We evaluate statistical and neuronal methods for daily EUR/USD currency prediction using daily EUR/USD time series data. Both techniques are reviewed and contrasted from the accuracy of forecasting models point of view. We show that an RBF neural network can achieve better prediction results than the latest statistical methodologies. Following fruitful applications of neural networks to predict financial data this work goes ahead by using neural networks for modeling any non-linearities within the estimated statistical models.

Abstract: The various formulations of the technical diagnostics problem are possible when creation and use of analog circuits. One approach allows deviation a sufficiently large set of the elements parameters. The results of this diagnosis can be used to improve the technology of analog circuits or predict their behavior depending on the time of exposure or destabilizing factors. The power sources (current sources and emf) commonly used as a testing influence on circuit in realization test diagnosis. A short circuit approach of the testing experiments organization with active analog circuits with partly inaccessible nodes is considered.

Abstract: In this paper a low voltage FGMOS analog multiplier is proposed that uses a follower voltage flipped (FVF), which dominates its operation. In order to reduce the power supply of the multiplier, floating gate CMOS transistors (FGMOS) are used. Theoretical steps of the FVF design are presented together with its simulation. The output of the FVF is insensitive to the device parameters and is loaded with a resistive load. The multiplier design consists of two FVF cells, two current sensors FVF and one Gilbert cell multiplier. The results show that the proposed multiplied in a 0.13μm CMOS process exhibits significant benefits in terms of linearity, insensibility to device parameters, bandwidth and output impedance. The power supply is 0.8V and a power consumption of 181μW.

Abstract: This paper studies thermal and electrochemical approaches on micro bubble generation, which have been commonly used in microelectromechanical system. The size and shape effects of micro-bubble actuators are reported in detail.The rate of bubble generation and energy conversion efficiency of the two mapproaches were compared. The micro bubble generation process of the two approaches were analyzed theoretically. By comparing with the experimental results, the micro bubble actuators were optimized.

Abstract: Focusing on the phenomenon that many office buildings and student apartments in northern China with vertical single tube series heating systems are of high energy consumption and waste lots of thermal energy because of lacking heating regulation, this paper proposed a system of on-off regulation to optimize the regulation, where on-off values are installed in each vertical riser, indoor temperature controllers are installed in the room with lower temperature, and the on-off values control circulating water automatically according to the difference between the real temperature and the set temperature and finally the indoor temperatures are controlled. The temperature control effect and energy saving effect of this system were discussed in both simulation and measurement. The conclusion shows that: 1) the proposed system can optimize heating regulation and reduce the loss cause of heating non-uniformity.2) the on-off control on the flow of single vertical tube makes temperature of all rooms stringed in the riser meet the requirements.3) the indoor temperature differences in the same riser are controlled in 2 °C.4) in practical, users on-time is only 50% of total time through on-off regulation, the effect of energy saving is significant.