and output is a portion of image containing the exact number plate [2]. Number plate detection aims at the spatial identification of the number plate within the input image. To this end, a feature extraction process initiates to reduce the amounts of data in the image. Techniques based upon combinations of edge statistics, texture and mathematical morphology are the most popular for detection of the plate region [1]. In NPE phase firstly the exact location of number plate is detected and then that area
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find extract and obtain data for our requirement. Web data mining is a process in which knowledge and information is extracted from the web content resources will be basically it is a data mining process or technigue to crawl through different web pages to get the required information. One of the biggest problem on the web is the data on the web is semi-structure, irregular and it always keeps on changing and there is no unified fixed pattern for the data on the web. If the data on the web is considered
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1. Introduction The global position of English is nowadays unassailable due to a range of historical, political and economic reasons, resulting in increasing enthusiasms for researching in the ELT field. Among all the issues identified, ‘which model?’ is one of them that have been considered controversial, especially in pronunciation teaching. Back to the last century, Stern (1983) has already started the debate by raising the question ‘should the class be taught American English or British English
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Scientific Research and Essays Vol. 6(3), pp. 580-591, 4 February, 2011 Available online at http://www.academicjournals.org/SRE ISSN 1992-2248 ©2011 Academic Journals Full Length Research Paper Applying six sigma to manufacturing processes in the food industry to reduce quality cost Hsiang-Chin Hung* and Ming-Hsien Sung Department of Industrial Engineering and Management, I-Shou University, Taiwan. Accepted 13 January, 2011 In recent years, an increasing number of companies have used
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Generalization is useful in research because the more data that is in hand, the more accurate a generalization can be. Generalizing means a few experiences that can signify a category for example because most criminals happen to be males a generalization could be said that only men commit crime. Generalizing could also simplify stereotypes. By using a way to measure numerical approaches with tables or graphs this helps to provide descriptions and this can be known as descriptive statistics. Inferential
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Mention the difference between the following terms. 1- Data: refers to discrete items, such as person’s name, the price of an item on the shelf of supermarket. Information: involves linking together two or more items of data to provide item of knowledge. 2- internet: refers to the physical interconnection of large number of communication networks to form huge, publicly, accessible “network of networks”. Web: is the collection of data stored on the internet which accessed by using the browser
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. Data unit based Deduplication: Also called as levels of the Deduplication, fundamentally there are two levels of Deduplication: 3.1.1. File level Deduplication In this level, Deduplication performed over single file and it eliminates the duplicate copies of the same file. The file checking function is based on their hash values. The hash numbers are comparatively easier to generate so it does not require more processing power. Based on those hash numbers duplicated files are identified. i.e. if
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1. What are the differences between data & information? Data is group by unconnected information and as such is of no use until it is perfectly evaluated. Beginning with evaluation, if there is some important relation between data, it will become information. Now, this data have different function to use. Till data brings some information, they are not useful. In comparison with, information is the summarisation of data. Data are unprocessed facts and figures that are processed into information,
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simplicity and a passion for excellence while meeting or exceeding the customer’s expectations b. Product standards |Size |Dimensions (mm) |Tolerances (%) |Pricing ($) |material |Delivery (hrs.) | |5 |30x5 |0.5% |1 |Stainless |48 | |6 |30x6 |0.5% |2 |Stainless
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Data Analytics, LLC has tremendously grown in the limited time that it has been in operation and with an expected growth of 60% over the next 18 months the company must continue grow in other ways and not just in personnel and IT infrastructure. The company must leverage technology and the tools they provide for the company to secure our place in the web analytics market. Business analytics can provide the organization many benefits, it can aid in the ability to provide business reports that are
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