Image Encryption Based on Diffusion and Multiple Chaotic Maps

In the recent world, security is a prime important issue, and encryption is one of the best alternative way to ensure security. More over, there are many image encryption schemes have been proposed, each one of them has its own strength and weakness. This paper presents a new algorithm for the image encryption/decryption scheme. This paper is devoted to provide a secured image encryption technique using multiple chaotic based circular mapping. In this paper, first, a pair of sub keys is given by using chaotic logistic maps. Second, the image is encrypted using logistic map sub key and in its transformation leads to diffusion process. Third, sub keys are generated by four different chaotic maps. Based on the initial conditions, each map may produce various random numbers from various orbits of the maps. Among those random numbers, a particular number and from a particular orbit are selected as a key for the encryption algorithm. Based on the key, a binary sequence is generated to control the encryption algorithm. The input image of 2-D is transformed into a 1- D array by using two different scanning pattern (raster and Zigzag) and then divided into various sub blocks. Then the position permutation and value permutation is applied to each binary matrix based on multiple chaos maps. Finally the receiver uses the same sub keys to decrypt the encrypted images. The salient features of the proposed image encryption method are loss-less, good peak signal-to-noise ratio (PSNR), Symmetric key encryption, less cross correlation, very large number of secret keys, and key-dependent pixel value replacement.Comment: 14 pages,9 figures and 5 tables; http://airccse.org/journal/jnsa11_current.html, 201

Attitude towards tobacco consumption among residents of Dhankuta Municipality of Nepal

The use of tobacco is a major cause of preventable mortality. The estimated number of smokers is 1.1 billion. Of these, 700 million men and 100 million women are in developing countries. The objective of this study was to find out attitude towards tobacco consumption among residents of Dhankuta Municipality. The cross sectional study was conducted among the residents of Dhankuta Municipality where 205 households were taken as subjects. Pretested semi structured questionnaire was administered to the study subjects and face to face interview was conducted. The collected data was entered in MS Excel 2000. The quantitative data was analyzed using Statistical Package for the Social Sciences SPSS software package. The study subjects consist of 50.2 of male and 49.8 of female. Regarding respondent's education, study population showed high level of SLC and above 40.5 followed by below SLC 36.1 and very less was illiterate 14.1 . Majority of the respondents think that there should be ban of the advertising of tobacco products 87.3 and smoking in public places 79 . Almost 67 of respondents think that patient's chances of quitting smoking will be increased if health professionals will give advice to patients. Almost 72.6 of the study population feel cut down tobacco use and 80.3 feel guilty about this habit. Almost 65.8 have tried to discontinue tobacco consumption. We conclude that the residents of Dhankuta reflect good attitude towards cessation of tobacco but poor practice to prevent of tobacco consumption. Dr. Ram Bilakshan Sah | Jha N "Attitude towards tobacco consumption among residents of Dhankuta Municipality of Nepal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 201

Seven clusters in genomic triplet distributions

Motivation: In several recent papers new algorithms were proposed for detecting coding regions without requiring learning dataset of already known genes. In this paper we studied cluster structure of several genomes in the space of codon usage. This allowed to interpret some of the results obtained in other studies and propose a simpler method, which is, nevertheless, fully functional. Results: Several complete genomic sequences were analyzed, using visualization of tables of triplet counts in a sliding window. The distribution of 64-dimensional vectors of triplet frequencies displays a well-detectable cluster structure. The structure was found to consist of seven clusters, corresponding to protein-coding information in three possible phases in one of the two complementary strands and in the non-coding regions. Awareness of the existence of this structure allows development of methods for the segmentation of sequences into regions with the same coding phase and non-coding regions. This method may be completely unsupervised or use some external information. Since the method does not need extraction of ORFs, it can be applied even for unassembled genomes. Accuracy calculated on the base-pair level (both sensitivity and specificity) exceeds 90%. This is not worse as compared to such methods as HMM, however, has the advantage to be much simpler and clear

Making sense of the manufacturing belt : determinants of U.S. industrial location, 1880-1920

This paper investigates the ability of the new economic geography to explain the persistence of the manufacturing belt in the United States around the turn of the 20th century using a model which subsumes both market-potential and factor-endowment arguments. The results show that market potential was central to the existence of the manufacturing belt, that it mattered more than factor endowments, and that its impact came through interactions both with scale economies and with linkage effects. Natural advantage played a role in industrial location but only through agricultural inputs which were important for a small subset of manufacturing