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A new wood defect detection method based on Affinity Propagation clustering was analyzed. By extracting the color characteristics of the wood image, multi-scanning the image, auto-adjusting the sliding window lattice, decreasing the data entry of the sample set after characteristics extracting, dimensions of distance matrix, Jacobi matrix, matching matrix among AP strategy was decreased, wood defect...
To meet product diversification and individuation, the paper reconstructed the original single object production line using Flexsim simulation software. Reconstructed model was optimized using the ECRS (eliminate, combine, rearrange, simple) analytic method. The study indicate that the mixed-model production line making up three production line can raise the comprehensive utilization ratio of equipment.
In the conceptual design stage of excavator, there are many uncertain information so that the quantitative evaluation of design schemes is very difficult. Traditional AHP (analytic hierarchy process) method can’t deal with the multi-attribute problem with uncertainty, so the FAHP (fuzzy analytic hierarchy process) is presented. And then, the hierarchical evaluation structure is constructed. In the...
Fingerprint ridge distance is a very useful parameter in AFIS (automatic fingerprint identification system), it can be used for fingerprint enhancement, identification or classification. In this paper, a new ridge distance estimation method based on the ridge search is presented. Firstly, we use the IPL(initial points line) to select the initial-points line. Then, we follow ridges with the search...
This paper suggests an intelligent semantic blog model to systematically analyze and manage blogosphere with ontology. In the proposed model, system managers enable bloggers to easily find appropriate blog resources such as posts or other related bloggers. The resources are found by tracking and analyzing various relationships specified in the ontology. Relevant sets of bloggers usually termed interest...
To solve the security problem that is still an obstacle to the development of Radio Frequency Identification (RFID) technique, this paper proposes a novel security strategy for the intrusion detection of RFID, which is composed of a new approach to extracting the features of RFID's intrusion and a new technique to detect RFID's intrusion. The proposed RFID's intrusion detection technique employs chaotic...
Data visualization can represent clearly the data difference and data change trend. It can help scientific researchers find the rules and trends behind the data quickly. In the process of monitoring eco-environment in Three Gorges reservoir area, a large database (>TB) of data has been acquired. How to fully utilize these data to analyze the trend and evaluate the eco-environmental impact of Three...
This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed. For an arbitrary set of test images, however, statistical regression reveals a surprisingly high degree of association...
The optimal Hankel-norm approximation problem studied in [1] is reformulated in a state-space setting. It is shown that the A-A-K Hankel approximation theory can be generalized to optimal multivariable case. The optimal Hankel approximants obtained in this way are identical to those obtained by Glover [2], however, the present approach provides a deep insight into the A-A-K approximation theory and...
In this paper a novel design algorithm is proposed to synthesize an H∞-optimal observer-based controller for a multivariable system under multiplicative nonlinear time-varying perturbation. It is shown that optimal robustness and performance can both be attained, by using the technique of H∞-optimization theory and by applying dither to smooth the nonlinearity. The exact solution of the model-matching...
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