The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage/transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it. We are concerned with lossless image compression in this paper. Our proposed approach is a mix of a number of already existing techniques. Our approach works as follows: first, we apply the well-known Lempel-Ziv-Welch (LZW) algorithm on the image in hand. What comes out of the first step is forward to the second step where the Bose, Chaudhuri and Hocquenghem (BCH) error correction and detected algorithm is used. To improve the compression ratio, the proposed approach applies the BCH algorithms repeatedly until "inflation" is detected. The experimental results show that the proposed algorithm could achieve an excellent compression ratio without losing data when compared to the standard compression algorithms.
Foundation for Intelligent Physical Agents (FIPA) English Auction interaction protocol allows the customer to handle the auction by both propose and inform messages only, while it can increase the interaction domain for the customer in order to make FIPA English Auction interaction protocol more flexible to use. In this paper, we will propose a model for enhancing FIPA English Auction Interaction Protocol. This model will enable different communicative acts to be available to the customer for different reasons, these communicative acts are "refuse"," failure" and "cancel" messages. Finally, we will show when to use each of the additional communicative acts and for what reasons. These acts are explained using UML diagram and JADE platform as scenarios. 1906 Zahra' Alarabiat et al.
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