No abstract

This paper studies the quality pattern recognition of industrial process based on the statistical process control (SPC). An abnormal quality pattern recognition model based on multi-support vector machine was proposed, which can be used to solve the problem of abnormal pattern recognition in the intelligent manufacturing process for products. The combination of "one-to-one" and "one-to-many" support vector machine (SVM) classifiers is arranged according to the structure of directed acyclic graphs in the model. At the same time, a structural optimization method was proposed to reduce the cumulative error problem. The model uses the original features of the data stream of quality. For the support vector machine classifier with low recognition accuracy, the statistical features and shape features form the data stream of quality are integrated with the original features. Relief algorithm is used to reduce the fusion features in order to reduce the consumption caused by increased features. The experimental results demonstrate that the model improves the accuracy of the recognition of abnormal patterns, and its structure also has a good time advantage.

No abstract

Based on the analysis of the pointing accuracy of the optical sensor in a star sensor, this paper introduces the geometric accuracy of the star sensor as an external orientation element that affects the optical remote sensing image and analyzes the characteristics of the installation method of the star sensor in different optical remote sensors. The key factors affecting the pointing accuracy of the star sensor are considered, and the geometrical accuracy of the image is improved by analyzing the installation method of the star sensor, the star sensor bracket design, and the star sensor thermal control component. Achievable measures are made, and the pointing stability of the star sensor is verified through a ground test and by measuring the temperature fluctuations of the orbiting sensor. Through ground testing and on-orbit testing, the star sensor bracket has a temperature fluctuation of <1 ℃ in one photography cycle, and the star sensor's attitude error around the axis is less than 5", so the uncontrolled geometric positioning accuracy of the image product can be obtained as 11.4 m (rms).

Many international firms hold a common stereotype about Chinese consumers’ color preference: culturally, red is their favorite color. However, many international firms (e.g., P&amp;G, Ford, and Wal-Mart) do not use red as their theme colors when they run business in the Chinese market. To explain this interesting phenomenon, this study conducted three which include one IAT experiment and two scenari-based experiments to reveal less culture-laden influences of colors on people by examining the mediating effects of perceived spaciousness between colors and purchase intention. The results show that blue walls of a room make the room look more spacious than red ones and eventually increase consumers’ purchase intention. The perceived spaciousness is caused by the fact blue objects are perceived more distant than red ones. The findings indicate that culturally favorable color may not always be the most effective tool to increase consumers’ purchase intention. Hence, international firms should be extremely cautious when selecting a theme color in foreign markets.