Vol 51, No 2 (2017)

Attribute distance weighted average (ADWA) is a new filtering paradigm, which can progressively alleviate the denoising contradiction between the noise removal and feature preservation by introducing new attributes. As the key control parameters in ADWA, the attribute normalization factors play an important role in the final filtering result. An in-depth study is necessary to exam the effect the attribute normalization factors have on the filtering performance and the rules they follow, which can then serve as a guide for the determination and optimization of attribute normalization factors. For this purpose, the three attributes of a signal, “Location,” “Value,” and “Gradient,” are studied as an example in this paper. Experimental results indicate that the normalization factors directly determine the strength of the effect the corresponding attributes have on the filtering result. If the normalization factor increases, ADWA’s ability in noise removal becomes stronger and meanwhile its ability in feature preservation becomes weaker. Therefore, the denoising contradiction still exists for ADWA of a specific attribute rank. However, since different attributes contribute to the filtering performance independently in different regions of a signal, the denoising contradiction can be further alleviated by introducing new attributes, and thus a more satisfactory outcome can be obtained.

In the recent days, web mining is the one of the most widely used research area for finding the patterns from the web page. Similarly, web content mining is defined as the process of extracting some useful information from the web pages. For this mining, a Block Acquiring Page Segmentation (BAPS) technique is proposed in the existing work, which removes the irrelevant information by retrieving the contents. Also, the Tag-Annotation-Demand (TAD) re-ranking methodology is employed to generate the personalized images. The major disadvantage of these techniques is that it fails to retrieve both the images and web page contents. In order to overcome this issue, this paper focused to integrate the TAD and BAPS techniques for the image and web page content retrieval. There are two important steps are involved in this paper, which includes, server database upload and content extraction from the database. Furthermore, the databases are applied on the Semantic Annotation Based Clustering (SABC) for image and Semantic Based Clustering (SBC) for webpage content. The main intention of the proposed work is to accurately retrieve both the images and web pages. In experiments, the performance of the proposed SABC technique is evaluated and analyzed in terms of computation time, precision and recall.

In this paper, a fuzzy algorithm was used for determining the coefficients of a PID controller using an online method. The plant used in this system is a welder robot, which is used for welding oil and gas pipelines. This robot rest on the pipe and weld it by moving around. The speed is adjusted using a motor moving the robot around the pipe. A digital controller also used for implementation. In this research, in order to choose the rules the skills transmit method and that how the PID response is required has been used. In this paper, the type of algorithms that continuously assigns PID coefficients using an online method depending on the characteristics of the system which is based on fuzzy logic was used. First, the rules associated to each output in relation to inputs are depicted in it. Using the mentioned method, simulation results and then implementation results were obtained and discussed.