Advanced Materials Research Vols. 219-220

Abstract: To solve no electricity in remote areas, a new type of power supply scheme is designed and a multi-function power cabinet and a energy-saving lighting are manufactured. Moreover they are applied in wang-an management office in Yellow river, This can not only supply enough power for it,but also save invest and energy, so it is very significant today.

Abstract: Face detection has been developed into one independent research direction. This paper proposes a detection method based on the combination of skin color and improved ICA. The method makes face detection in color images real and abandons the conventional way of detecting grey rather than color images. Its description is as follows: In the beginning, skin color mode should be founded on the basis of a new color space called H_SI_I. Then with the help of prior knowledge, image preprocessing can be implemented to obtain candidates’ faces, which will be detected by improved ICA. Experiments demonstrate that the method proposed by this paper has better effect than the conventional face detection based on subspace as far as speed and accuracy is concerned.

Abstract: Audio-visual archives are national important part of files. Compared to traditional paper files, there are some differences in the carrier, requirements, and storage conditions and so on. Many people ignore this distinction which results in the current problems of management. Some people even have some misunderstanding of it. The management system is not perfect and there are other problems, such as poor storage conditions, difficulty of collection and so on. In order to make good use of audio-visual archives, these issues are should be solved and improved.

Abstract: For constructing Bayesian diagnostic network model of complex system is a difficult course, we propose a Bayesian network model auto-construction method based on expert system knowledge base. Bayesian diagnostic network model was built by using the CM structure, and the diagnostic knowledge was organized by product structure tree. We have applied this method to fault diagnosis for sliding plug door, and tested our methodology on many examples of diagnostic problems of sliding plug door, which prove the efficiency of the Bayesian diagnostic network model and model-building method．

Abstract: In this paper, the design for a new piezoelectrically transduced hybrid resonator is proposed. The frequency stability problem is improved by using two different thin films with a negative and positive temperature coefficient of sound velocity, respectively, where the main vibrating structure is constructed by the SiO₂ and ZnO thin films. This new hybrid resonator combines the advantages of piezoelectric and capacitive resonators together and can be implemented by the simple fabrication technique utilizing surface micromachining.

Abstract: This paper presents a new algorithm for approximate inference in credal networks (that is, models based on directed acyclic graphs and interval-valued probabilities). Approximate inference in credal networks can be considered as multistage decision in this paper. It is looked as combinatorial optimization problems that obtaining the extreme posteriors from the combinations of various vertices in credal networks. Based on this, the paper combines two intelligence swarm algorithms (ant colony algorithm and artificial fish swarm algorithm) to obtain interval posterior probabilities of query variable for the states of given evidence variables.

Abstract: The rapid development of global integration has fastened Corporations’ market expansion and social penetration, and charitable acts have become an important strategy for corporations to expand social space and improve corporate image, which has become the core of corporate competitive advantages. In this paper, corporate charitable acts can be divided into three stages based on the analysis of charitable acts of TNCs. The author argues that in different stages of cooperation, communication levels are different which will bring different social and economic benefits.

Abstract: Automatic opinion mining and summarization from online reviews are very useful for customers and merchants. This paper proposes a method to extract opinions from Chinese product reviews. Firstly, reviews are pre-processed and the sentiment features are extracted based on a sentiment lexicon. Then, it finds out the matching target attribute using the extracted sentiment features base on the using co-occurrence knowledge of topic feature and sentiment feature. After the opinions were found, it generates the summary for products according to the most common opinions.

Abstract: Digital Signal Processing (DSP) is an important and growing subject area in Electrical/Computer Engineering (ECE), Computer Science and other Engineering/Science disciplines. Since 1997, the authors have taught an undergraduate DSP courses at Xinjiang University (XJU). While the subject of DSP has become very popular with ECE students and with the growing DSP job market, the subject matter is still considered to be a difficult and complex one for students. This paper presents an approach to teaching DSP basic concepts using a platform which developed by the tool, Macromedia Flash. The authors of XJU had enhanced the learning experience for their students by adding the platform to their class offering to reduce the difficulty of understanding the theoretical DSP.

Abstract: Project auction is an important principal-agent with competition. The uncertainty of market and incompleteness of bidders’ information bring a lot of risks for the project owner, so the research on risk management is of theoretical and practical significance. In this paper, risk factors are identified and measured, based on which, an evaluation model is built up, and then by sensitivity analysis, sensitive factors are found so as to help the owner take the corresponding measures. A case study illustrates that these analysis methods used in this paper are reasonable.