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Efficient storage and transmission of medical images in telemedicine is of utmost importance however, this efficiency can be hindered due to storage capacity and constraints on bandwidth. Thus, a medical image may require compression before transmission or storage. Ideal image compression systems must yield high quality compressed images with high compression ratio; this can be achieved using wavelet...
In this work we designed an information retrieval system ldquoPIRSrdquo - precision information retrieval system - based on the modified vector space model introducing a new query weighting formula and similarity function. These modifications of the classical vector space model aimed to improve the average precision level of the system. Two well known IR parameters, precision and recall were used...
This paper presents a new modified Walsh function (MWF) based method for measuring of reactive power (RP) in sinusoidal as well as in noise conditions. Proposed method simplifies the multiplication procedure to evaluate the reactive components from instantaneous power signal using peculiar properties of the WF. One of the advantages of proposed measurement approach is that in contrast to the known...
In this paper a Walsh function based method is proposed for Reactive Power (RP) measurement. As the main advantage, the Walsh function based algorithm provides a convenient calculating process and simplifies the multiplication procedure in order to obtain reactive component from entire instant power signal. The advantages of the proposed method for the measuring of the reactive power have been verified...
Image compression using Discrete Cosine Transform (DCT) is one of the simplest commonly used compression methods. The quality of compressed images, however, is marginally reduced at higher compression ratios due to the lossy nature of DCT compression, thus, the need for finding an optimum DCT compression ratio. An ideal image compression system must yield high quality compressed images with good compression...
The use of neural networks to simulate our perception of patterns is important in developing intelligent recognition systems. Currently, coin identification by machines relies on the assessment of the coin's physical parameters. An intelligent coin identification system that uses coin patterns for identification helps prevent confusion between different coins of similar physical dimensions. In this...
The use of neural networks to simulate our perception of patterns is important in developing intelligent recognition systems. Currently, coin identification by machines relies on the assessment of the coin's physical parameters. An intelligent coin identification system that uses coin patterns for identification helps prevent confusion between different coins of similar physical dimensions. In this...
Recently, many efficient image compression methods have been developed in order to compress image data prior to further processing. Discrete cosine transforms and wavelet transforms are examples of these compression methods. The aim of the work presented within this paper is to introduce comparison criteria for optimum compression using these well known image compression techniques. The comparison...
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