Applied Mechanics and Materials Vols. 556-562

Abstract: Based on the study of Tan sheep mutton products supply chain, this paper establishes a tracing and traceability system for Tan sheep mutton products by using RFID technology, internet of things, QR 2D barcode and EPC system . The whole system consists of four sub-systems i.e. Tan sheep breeding management system, Tan sheep data acquisition system based on handheld devices, Tan sheep slaughter and processing management system, tracing and traceability system of Tan sheep mutton products. The whole system is capable of identifying and tracing each Tan sheep, collecting data from Tan sheep breeding stage along with slaughter and processing stage automatically, implementing the function of providing tracing and traceability information inquiry finally.

Abstract: In this paper, based on the study analyzed on the basis of a variety of neural networks, a kind of new type pulse neural network is implemented based on the FPGA [1]. The neural network adopts the Sigmoid function as its hidden layer nonlinear excitation function, at the same time, to reduce ROM table storage space and improve the efficiency of look-up table [2], it also adopts the STAM algorithm based nonlinear storage. Choose Altera Corporation’s EDA tools Quartus II as compilation, simulation platform, Cyclone II series EP2C20F484C6 devices and realized the pulse neural networks finally. In the last, we use XOR problem as example to carry out the hardware simulation, and simulation results are consistent with the theoretical value. Neural network to improve the complex, nonlinear, time-varying, uncertainty about the system reliability and security provides a new way.

Abstract: Blade deformation during its machining is a key problem in aviation manufacturing. Machining error of a low rigidity blade caused by cutting force reduces its processing precision. And this kind of error is difficult to predict and control. In the paper, Finite Element Analysis is used to simulate blade machining process. The errors at sample points are gotten and used to evaluate the change of tool path. An optimal compensation model of blade machining path is put forward to consider the coupling effect between blade deformation and cutting force in multiple feeds. And an iterative algorithm is also presented to solve the optimal model. Thus, the object is achieved to reduce the blade machining error to a satisfying extent.

Abstract: To reduce the workload for marking the dimensions of in-process models, a method of dimension marking based on manufacturing features for in-process model is proposed. Firstly, the dimension information is extracted from model based definition (MBD) models; secondly, the feature dimension chains are constructed according to the feature location dimension and the process data, when the process data and design data are not coincided with each other; thirdly, the process dimension tolerances are calculated by using the increasing links and the decreasing links of the MBD. In experimental section, an example was given to illustrate the validity and effectiveness of the proposed method.

Abstract: . In this paper, to help cognitive users conduct fair and efficient spectrum sensing in the heterogeneous wireless environments, a coalitional game based spectrum sensing scheme is proposed. The method of calculating the basic parameters of spectrum sensing is introduced at first, and then the spectrum sensing problem is modeled as a coalitional game with non-transferable utility. A coalition is built with Pareto optimality satisfied, and its procedure is described in details. Simulation results have shown that the proposed scheme is both feasible and effective.

Abstract: Software testing run through the entire software development cycle, which consumes more than 50% of the development and maintenance effort. Fault localization is the most difficult and time-consuming task in software testing. Aimed at locating faults automatically in software, fault localization approach locates faults by running suitable test cases, so the quality of the test cases determines the effectiveness of fault localization. Therefore, the studies on test cases reduction approach for fault localization, automated fault-localization approach with high error-detection ability, and fault comprehension approach to help programmers understand the reason why a faulty statement cause failures have great significance for software testing and development. In this paper, the test cases reduction, fault localization, fault comprehension methods and their limitations are analyzed and summarized, and the future developing trend are discussed at last.

Abstract: This paper establishes a parallel Internet virtual simulation PDE computing model based on quasi-linear, linear and nonlinear mathematical principles of computer, and obtains a partial differential equation for parallel computing system. The parallel computing can greatly improve the speed and accuracy of computer virtual simulation system. In order to validate the calculation, the paper uses ACC-8S interface board to realize the parallel link of computer, and two pieces of different material deformation in machining process was simulated by ANSYS software, and it concludes the contour of deformation . Finally, the system has been applied to the volleyball match virtual simulation system, and it gets the system response performance through simulation and calculation, which provides a technical reference for the training of volleyball players.

Abstract: In order to estimating the state of driving safety and reducing accidents, a discrimination method of driving safety states based on BP neural network was presented in the paper. Firstly, the influencing factors on the vehicle driving safety were analyzed, and ten main factors that affected the driving safety of vehicles were confirmed, which constitute the safety assessment index system for vehicle driving. Then the discrimination model of driving safety states based on BP neural network was established, and inputs and outputs for the neurons were determined. At last, the input data for neurons were acquired on the basic of the main evaluation indexes of vehicle driving safety, and these data were used to train the neural network. The training result conform to expectations of the training requires.

Abstract: Feeding noozle of port pneumatic grain unloader is vital to the whole system, CFD is used to simulate the flow field and optimize the geometry of the vacuum nozzle. The Euler two-phase flow model is taken in the modeling. Secondary air parameter play an important part in the remodeling. Through the adjustment of secondary air , including the relative area and height of the inlet as well as adjustment of the nozzle geometry , the distribution of the concentration of solid particles is improved and the the pressure loss is reduced, thus exert the transport efficiency and energy consumption with a positive effect.

Abstract: OA (Office Automation, OA) has been developed rapidly in the 1970s and introduced into China. In the 1990s, it has entered the high-speed development stage. With the rapid development of mobile internet technology, it will be a trend to apply such a high-tech to office automation. Meantime, there has introduced the workflow development approach to development in the overall system implementation. This thesis presents strategy on design and implementation on workflow based mobile office automation. With the rapid development of mobile internet technology, it will be a trend to apply such a high-tech to office automation. Meantime, there has introduced the workflow development approach to development in the overall system implementation. This thesis presents strategy on design and implementation on workflow based on mobile office automation.