Advanced Materials Research Vol. 910

Abstract: Since the open lab cannot improve the students’ practical ability in a good manner, and the full-featured laboratory equipment has a high cost, this paper thus designs a students’ innovative DIY training platform that quickly assists to model the KT board, in order to enhance the students’ practical skills and thinking abilities, and improve the quality of experiment teaching. The platform solves the existing DIY modeling’s issues of great difficulty in manual processing, low precision and long cycle. Based on the design platform of SolidWorks, this paper completes the parametric design of the device virtual prototype, adopts the virtual prototyping technology to make dynamics simulation analysis towards the critical parts, and verifies the rationality of this mechanism design and correctness of function implementation.

Abstract: Group technology is a system approach that organizes low volume production reasonably. Parts classification and coding systems are introduced mainly in this paper. And parts classification into group methods is recommended in detail. Typical parts coding and classification is described in the paper. Lastly, computer-assisted coding and classification is introduced simply.

Abstract: Rapid growth in the cloud computing centers worldwide is posing serious challenges to both hardware and software designers on the energy efficiency issues. This paper explores particular challenges and potential promises on the part of data processing in these centers.

Abstract: In regressing demographic data, neighborhood information needs to be taken into account, which makes conventional linear regression models inappropriate. In this paper, to incorporate neighborhood information without incurring extra computational cost, we investigate various possibilities to reformulate input data. Experiments show that augmenting each site with its neighborhood information gives the best results.

Abstract: Abstract. In order to study the color matching effect of ink-jet printing press under different color management systems. I applied EFI and ORIS series color management soft wares separately to the same Epson ink-jet printer and optimized the proofing with exploring the most reasonable settings. After that, I will compare the gamut and color difference in a special color management module, and also make a contrast with a standard color gamut to check the color matching effect. The results show that the average color differences of the two soft wares are all below 1.0. However, differences measured by ORIS is lower, falling to 0.5 only, which implies the proofing under ORIS color management is more similar to the presswork and more stable.

Abstract: Graphic communications industry, or printing industry, has a tradition of more than one thousand years. Putting ink on paper, or on some other substrates, is the basic form of printing, although the industry has been modernizing by the up-to-date science and technology such as internet communication and digital printing, etc., since the info-tech revolution of recent decades. Printing jobs are still in much need today and printing presses everywhere are keeping busy with a steady influx of orders everyday. As a professor working in the graphic communications field, facing some perception and confusions among everyone from government and corporations to environmental groups and mums and dads that paper and print is 'bad' for the environment and that printed communications aren't effective, we have responsibilities to study the present situation of this industry in the environment-oriented world and try as much as possible to find ways to make our industry become greener. Firstly, we need to answer if the printing communication is not a green medium comparing to other methods of communication. If the answer is positive, we need to defense the green position of the graphic communications industry. Secondly, to troubleshoot the pollution problems of the printing production processes, so that, thirdly, to find ways to make the industry become an environment-friendly one.

Abstract: With more and more cars, rates of traffic accidents are also increasing. When there is an accident, lanes will be squatted. So the traffic capacity will be influenced. I have established a dynamic traffic capacity model based on mechanical mechanics that basic road capacity is influenced by instantaneous traffic. First of all, considering the phrase cycle of traffic lights of upstream crossing, we will set a sampling point per 60 seconds to count the number of cars that pass through the cross-section of accident in this video, and then calculate the traffic of every sampling point. Secondly, we will analyze actual traffic capacity by the line chart of traffic of cross-section and time that we evacuate queuing vehicles within 120 meters. By analyzing, we find that the actual traffic capacity at the cross-section of accident emerges fluctuation status. Based on the traditional model of road capacity and mechanical mechanics, by improving compensation factors, we can establish the model of dynamic traffic capacity at accident point.

Abstract: A new optimization method of pile-anchor support for foundation pit based on BP neural network was been proposed and applied in engineering example. Uniform test can be used to construct study samples efficiently. BP neural network is taken advantage to build a prediction model and predicting results of large number of random samples. Then, according to the constraint condition of optimization criterions, the best optimization result screened out from results. Through an engineering optimization example, it is showed that this method is efficient and with good economic and practical value.

Abstract: Information technology has been widely used not only in econimic fileds but also the operation of government. The development of electronic government affairs has totally change the way of the government operation model. Cloud computation can offer safe and reliable data storage, and it can offer an efficient scheme for the electronic government affairs. We propose to use the clustering algorithm in cloud to efficiently and effectively deal with the data from all the government departments. After clustering the information, similar data are grouped together; each department can choose the interested information.

Abstract: strategy selection of developing mountainous areas is an important topic in recent years, usually we believe the financial support is the most relevant factor to the development, under the condition of lack of enough money, we should first choose the best strategy which is an optimal choice for the development of economy. In this paper, we proposed to use the Bayesian belief network for the strategy selection. The optimal selection can be treated as an important guidance to consider the development of local economy.