Volume 1 | Issue 2 |

 Abstract

Ultrasound has been one of the most powerful techniques for imaging organs and soft tissue structure in the human body. It has been used for breast cancer detection because of its non-invasive, sensitive to dense breast, low positive rate and cheap cost. But due to the nature of ultrasound image, the image suffers from poor quality caused by speckle noise, low contrast and blurred edges. These make the automatic segmentation and classification of interested lesion difficult. One of the frequently used segmentation method is region growing method. A seed point is the starting point for region growing and its selection is very important for the segmentation and classification result. If this seed point is selected outside the region of interest, final segmentation and classification would be definitely incorrect. So, mostly the seed point is manually selected in order to avoid incorrect segmentation and classification. And also, most of the past works have concentrated only on automatic seed point location and segmentation of single lesion in U.S breast images. Proposing a method which was able to locate the seed point automatically within the multiple lesion regions by using the tan function, textural features of the lesion regions and Support Vector Machine and also able to automatically segment the lesion regions properly. Using this proposed method, able to located seed point within multiple lesion regions automatically. The results show that the proposed method was able to automatically locate the seed points within lesion region automatically for 98.42 % of images in our data set.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Seed point, Breast lesion, Automatic segmentation, Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Although there are a number of reports on the effect of yoga training on blood pressure, very few studies have been undertaken on the effect of yoga training on respiratory pressures and handgrip endurance. Hence the present work was planned to study the effect of yoga training on hand grip strength (HGS), hand grip endurance (HGE), maximum expiratory pressure (MEP), maximum inspiratory pressure (MIP), systolic blood pressure (SBP) and diastolic blood pressure (DBP). 15 male students in the age group of 15 to 16 years were given yoga training (asans and pranayams) for 4 months. 15 male students of the same age group formed the control group. Yoga training produced statistically significant (P<0.05) increase in HGS, HGE, MEP, MIP, SBP and DBP after the yoga training. In contrast, the increase in these parameters in the control group was statistically insignificant. This study shows that yoga training for 4 months improves strength of inspiratory and expiratory muscles, skeletal muscles of arm and shoulder. Positive improvement was also observed in systolic and diastolic Blood Pressure. It is suggested that yoga should be introduced at school level in order to improve physiological functions, overall health and performance of students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Yoga, Grip, Training, Respiratory, Muscles.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

sanskrtavaanmayam evan aadhunik samaaj

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sanskrtavaanmayam evan aadhunik samaaj

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 Abstract

Nationalism in the thinking of Swami Vivekananda

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Nationalism in the thinking of Swami Vivekananda

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 Abstract

Poem of Nagarjuna

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Poem of Nagarjuna

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 Abstract

Shatik jagaran

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Shatik jagaran

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 Abstract

Bhagirath Geeta

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Bhagirath Geeta

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 Abstract

The influence of saints on the society of devotion

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The influence of saints on the society of devotion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes Management

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Diabetes Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Realizing the importance of links and link analysis in search engine results, several link farms and Free for All sites have appeared that offer to provide links to your site. Web usage mining is the automatic discovery of user access patterns from Web servers. By Analyzing server's data we can capture behaviour and interests of user. By monitoring web user's browsing behaviour, we can discover reliable knowledge about user's general preferences and needs. Online advertising is a form of promotion that uses the Internet and World Wide Web for the purpose of delivering marketing messages to attract customers. Examples of online advertising include contextual ads on search engine results pages, banner ads, Rich Media Ads, Social network advertising, interstitial ads, online classified advertising, advertising networks and e-mail marketing. Every advertising model is based on the mutual requirements of content creators (online advertisers/web publishers), content aggregators and content consumers (users). Advertisers/web publishers invest heavily in advertising to market many products and services. Search engine acts as content aggregators and work for providing accurate and speedy information to its users. They work as potential source for providing content consumers to the content creators by luring users to use their search technology for informational needs. User plays an important role as they are the potential source of revenue for the search engine and the advertisers. Hence there is a cyclic dependency between the three components i.e. web-users, advertiser and Search engine. This Paper presents a new advertising model for commercialization of web, which performs customization of advertisements and customization of users, with that we are enable, relevant adds to be shown to relevant web users on user more interested web pages .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web Mining, Web Advertising, User Patterns.

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Creative Commons Attribution 4.0 and The Open Definition