The existence of illumination variation, non-rigid object, occlusion, non-linear motion, and real-time implementation requirement has made tracking in computer vision a challenging task. In order to recognize individual cow and to mitigate all the challenging tasks, an image processing system is proposed using the body pattern images of the cow. This system accepts an input image, performs processing operation on the image, and output results in form of classification under certain categories. Technically, convolutional neural network is modeled for the training and testing of each pattern image of 1000 acquired images of 10 species of cow which will pass it through a series of convolution layers with filters, pooling, fully connected layers and softmax function for the pattern images classification with probabilistic values between 0 and 1. The performance evaluation of the proposed system for both training and testing data was carried out for each cow's identification and 92.59% and 89.95% accuracies were achieved respectively.
Search Engine Optimization (SEO) is a technique which helps search engines to find and rank one site over another in response to a search query. SEO thus helps site owners to get traffic from search engines. Although the basic principle of operation of all search engines is the same, the minor differences between them lead to major changes in results relevancy. Choosing the right keywords to optimize for is thus the first and most crucial step to a successful SEO campaign. In the context of SEO, keyword density can be used as a factor in determining whether a webpage is relevant to a specified keyword or keyword phrase. SEO is known for its contribution as a process that affects the online visibility of a website or a webpage in a web search engine's results. In general, the earlier (or higher ranked on the search results page), and more frequently a website appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. It is the objective of this paper to re-present black hat SEO technique as an unprofessional but profitable method of converting website users to customers. Having studied and understood white hat SEO, black hat SEO, gray hat SEO, crawling, indexing, processing and retrieving methods used by search engines as a web software program or web based script to search for documents and files for keywords over the internet to return the list of results containing those keywords; it would be seen that proper application of SEO gives website a better user experience, SEO helps build brand awareness through high rankings, SEO helps circumvent competition, and SEO gives room for high increased return on investment.Keyword-SEO; White hat SEO; Black hat SEO; Gray hat SEO; Traffic; Crawling; and Indexing I. INTRODUCTIONSearch engine is a web software program or web based script available over the internet that searches documents and files for keywords and returns the list of results containing those keywords (Fig. 1). Today, there are numbers of different search engines available on the internet, each with their own techniques and specialties. SEO is a technique that improves visibility of a website in search engine as shown in Fig. 2. SEO improves the volume and quality of traffic to a website from search engines via natural search results for targeted keywords. Search engine optimizers use knowledge base. This is domain knowledge which evaluates interestingness patterns from search result [1]. Search engine optimizers use SEO techniques which follow search engine guidelines called white hat SEO techniques. Sometimes search engine optimizers use website promotion techniques in webpage development which does not follow the search engine rules and policies. Such techniques are called black hat SEO techniques. The benefits of SEO to small businesses cannot be overemphasized. For start-ups, SEO will assist you in creating a better, faster and more user friendly website. Presumably, by now, most entrepreneurs and m...
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