In today's world storing numerous data or information efficiently is a significant issue because of limited storage. Every moment we need to transfer large volume of information soundly and correctly. A storage space/memory storage required to store this information is. The way of communication which is also constricted with confined communication lines. These incompetence drives to need of data compression. Compression makes a reduction in memory storage, data transmission time, communication bandwidth and the ultimate cost savings also. To compress data efficiently and effectively one of the most popular and widely used techniques is Huffman compression. It is a lossless compression technique that enables the restoration of a file to its authentic/key state, having not to loss of a single bit of data when the file is uncompressed. It will be more efficient by reducing the memory requirements for Huffman tree. This article aimed at reducing the tree size of Huffman coding and also explored a newly memory efficient technique to store Huffman tree. As a consequence we also designed an encoding and decoding algorithm. Our proposed technique is much more efficient than most of the/all other existing techniques where to represent the Huffman tree structure total memory requirements are 9n-2 bits for the worst case, average and also for the best case. The results obtained significant improvements over previous/existing work. 2

ABSTRACT

ABSTRACT

The constantly increasing performance/price ratio of microcontrollers means electronic system can replace more and more electromechanical ones. In design, the goal is not to just replace the solution but also to improve it by adding new functionalities. The paper presents a model of industrial controller having possibility of the classical programming controller, with added elements of the fuzzy logic. Here fuzzy logic offers a technical control strategy that uses elements of everyday language. In this application, it is used to design a control strategy that adapts to the need of individual user. It achieves a higher comfort level and reduces energy consumption. Here we have used a fuzzy method which selects the contractions that best meet the specifications, where human knowledge is involved in a decision making process. With a fuzzy-logic software development system, the entire system, which includes conventional code for signal preprocessing as well as the fuzzy logic system, can be implemented on an industry-standard microcontroller. Using fuzzy logic on such a low-cost platform makes this a possible solution with most AC systems. Each home AC has a sensor that measures room temperature and compares it with the temperature set on the dial. The fuzzy logic controller uses a bimetallic switch and compares the set temperature with room temperature.

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