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Bhaskar, P.
- Comparative Study on Image Compression and Image Decompression
Authors
Source
Digital Image Processing, Vol 4, No 1 (2012), Pagination: 53-56Abstract
The compression system reduces amount of data need to transfer for same amount of information and thus band width requirement. The compression of data is necessary in order to transmit information with highest possible quality and least possible channel capacity. The aim of this thesis is to provide way to compress image without loss of quality of the image (lossless image compression) using run length coding (RLC) in mobile platform with java2 micro edition (J2ME) language. J2ME is often referred to as Java for wireless and mobile devices. J2ME is about making the Java programming language available on an ever large and more diverse set of platforms from the smallest of mobile phones to mush more capable devices, such as a television set-top box. J2ME addresses devices with minimal memory, communications bandwidth, power, and user interface capabilities. RLC is very effective lossless compression method. RLC provides high compression ratio by removing interpixel redundancy.Keywords
Image Compression, Image Decompression, Java, J2ME, RLC.- Text Mining for Medical Diagnosis
Authors
1 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, IN
2 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology Hyderabad -5001510, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 11 (2010), Pagination: 338-342Abstract
Data mining plays a vital role in various fields including Medical Diagnosis due to its significance in effective decision making. Most of the medical reports are in free text format, which requires proper text mining approaches and techniques to extract the hidden knowledge. In this paper we present the existing text mining approaches for Radiology medical reports, further we propose a novel text mining approach to overcome the limitations in the existing approaches for Radiology medical diagnosis.
Keywords
Data Mining, Radiology Reports, Text Mining, Knowledge Discovery.- Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor Networks
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 6 (2014), Pagination:Abstract
Given the sensitivity of the potential WSN applications and because of resource limitations, key management emerges as a challenging issue for WSNs. One of the main concerns when designing a key management scheme is the network scalability. Indeed, the protocol should support a large number of nodes to enable a large scale deployment of the network. In this paper, we propose a new scalable key management scheme for WSNs which provides a good secure connectivity coverage. For this purpose, we make use of the unital design theory. We show that the basic mapping from unitals to key pre-distribution allows us to achieve high network scalability. Nonetheless, this naive mapping does not guarantee a high key sharing probability. Therefore, we propose an enhanced unital-based key pre-distribution scheme providing high network scalability and good key sharing probability approximately lower bounded by 1 − e−1 ≈ 0.632. We conduct approximate analysis and simulations and compare our solution to those of existing methods for different criteria such as storage overhead, network scalability, network connectivity, average secure path length and network resiliency. Our results show that the proposed approach enhances the network scalability while providing high secure connectivity coverage and overall improved performance. Moreover, for an equal network size, our solution reduces significantly the storage overhead compared to those of existing solutions.