In this work, we shall present some novel process to measure the similarity between picture fuzzy sets. Firstly, we adopt the concept of intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets and picture fuzzy sets. Secondly, we develop some similarity measures between picture fuzzy sets, such as, cosine similarity measure, weighted cosine similarity measure, set-theoretic similar...

This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...

In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan. In the second one, we apply the Fast Cosine Transform to the image, and then the transformed image is divided in blocks which are collected according to zig-zag scan too. Later, in both cases, the Karhunen-Loève trans...

This paper describes the design of a low-power DCT (Discrete Cosine Transform) architecture using varies techniques. The low-power design is one of the most important challenges to maximize battery life in portable devices and to save the energy during system operation. Discrete Cosine Transform (DCT) is one of the most popular lossy techniques used in image and video compression standards. Sev...

In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan. In the second one, we apply the Fast Cosine Transform to the image, and then the transformed image is divided in blocks which are collected according to zig-zag scan too. Later, in both cases, the Karhunen-Loève trans...

In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan. In the second one, we apply the Fast Cosine Transform to the image, and then the transformed image is divided in blocks which are collected according to zig-zag scan too. Later, in both cases, the Karhunen-Loève trans...

Dimensionality reduction, clustering and visualisation methods proposed in recent years have afforded new possibilities for the analysis of gene expression data. However, efficient, novel techniques for processing and representing microarray data are still required. We propose the use of the discrete cosine and sine transformations for dimensionality reduction of microarray data. These techniqu...

State-of-the-art story link detection systems, that is, systems that determine whether two stories are about the same event or linked, are usually based on the cosine-similarity measured between two stories. This paper presents a method for improving the performance of a link detection system by using a variety of similarity measures and using source-pair specific statistical information. The u...

With more and stringent requirements on driving comfort, safety fuel economy, polytopic LPV approaches have become popular in intelligent automotive control systems due to their merits dealing with the complex nonlinearities. This survey starts a review theory of systems. Stability analysis controller design are provided techniques obtaining less conservative results. Then, some key application...