Journal of Advances in Shell Programming
Volume 4, Issue 2 (2017)
Published
Table of contents
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Analogous Multichannel Communication Recatenation Scrutiny Using ARQ Technique
Abstract: AbstractThe aim of this paper is to assess the resequencing interference and the resequencing support residency, individually. Under the suspicion that all channels have a similar program rate, yet likely unique time-invariant blunder rates, we determine the prospect creating capacity of the resequencing shield inhabitance and the chances mass capacity of the resequencing delay. From numerical and ridicule up comes about, we dissect drifts in the mean resequencing cradle ownership …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Stock Market Prediction Based on News Sentiments
Abstract: AbstractIn today’s era, the count of investor is increasing day by day. For identifying the market risk and for the growth of profit, the market stock prediction is an important factor. People are using traditional theorems for predicting market behavior. Different methods are used for predicting the market share price such as support vector machine, regression, sentiments from different social websites like Twitter and Facebook, etc. which have some limitations. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 26–33 Read article
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An Eccentric Approach For Spoofing Bother Detection
Abstract: AbstractSpoofing is a special type of network bother where the bother creates a replica of an existing web page to fool users into submitting personal, financial, or password data to what they think is their service provider’s web site. This proposed work is to find a new anti-spoofing algorithm for LGA (link guard) and DSA, which is filtering the spoofing characters in the websites of the hyperlinks in spoofing bothers. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 5–9 Read article