Facial recognition technology has been very questionable on a national level and potential misuse of the technology has raised questions among very many people. Facial recognition is used by the police around the world to identify subject. Some people think that the facial recognition technology goes against constitutionally protected rights. The software identifies people from the different “points” on their face. Facial recognition is a controversial issue among the law and people because of the
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Recently in June 2010‚ the International Accounting Standards Board and the Financial Accounting Standard Board initiated a joint project and released an exposure draft named Revenue from Contracts with Customers. This exposure draft emphasizes the status of revenue in assessing financial statements and states that revenue is conclusive in assessing a company’s operating situation and developing prospects. This statement has a profound influence on accounting industry and has lead to a wide range
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Financial Reporting and Analysis – ACG6175 Date: 5/18/09 Revenue Recognition Problems in the Communications Equipment Industry 1 – In late 2000‚ Lucent announced that revenues would be adjusted downwards by $679 million as a result of revenue recognition problems. Yet the firms market capitalization plummeted by $24.7 billion. Why do you think the market reacted so negatively to Lucent’s announcements of the problems? There is usually a grey zone between aggressive accounting‚ which
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Issues With Revenue Recognition within the Software Industry The Isoft Example Financial Controller-SoftWarehouse Ltd This report has been prepared for the Board of Directors of SoftWarehouse Ltd for elucidation about the contentious issues that have given rise to the publication of the article concerning Isoft’s issues with revenue recognition. Finally‚ it will also assess whether or not these issues are likely to affect SoftWarehouse Ltd. TABLE OF CONTENTS Executive Summary: 3
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Revenue-Recognition Problems in the Communications Equipment Industry 1) In late 2000‚ Lucent announced that revenues would be adjusted downwards by $679m as a result of revenue recognition problems. Yet the firm’s market capitalization plummeted by $24.7bn. Why do you think the market reacted so negatively to Lucent’s announcements of the problems? The large drop in market capitalization is probably due to several factors. Historically‚ Lucent had successfully met analysts’ projections for
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with no insurance or with suspended licenses. There are people with warrants riding around every day like they do not have a care in the world‚ but with the help of automated license plate recognition these numbers are decreased. Law enforcement all over the world are adopting the automated license plate recognition technology to help them fight crime and make their job just a little easier. This technology helps law enforcement detect cars that have been stolen‚ cars that have not been registered for
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Real Time Road Sign Recognition System Using Artificial Neural Networks For Bengali Textual Information Box An Automated Road Sign Recognition system using Artificial Neural Network for the Textual Information box inscribing in Bengali is presented on the paper. Signs are visual languages that represent some special circumstantial information of environment. Road signs‚ being among the most important around us primarily for safety reasons‚ are designed‚ and manufactured and installed according
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%FACE RECOGNITION SYSTEM % % Face recognition system based on EigenFaces Method. % The system functions by projecting face images onto a feature space % that spans the significant variations among known face images. The % significant features are known as "eigenfaces" because they are the % eigenvectors (principal components) of the set of faces. % % Face images must be collected into sets: every set (called "class") should % include a number of images for each person‚ with some variations
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CASE: SARAWAK PROPERTIES SDN BHD v THE DIRECTOR GENERAL OF INLAND REVENUE ISSUE: Whether the tax treatment of income accrued and the expenditures incurred in respect of the appellant’s property development activities regarding the two projects‚ namely the shop house project and the TAR Centre. FACTS OF THE CASE: • The appellant become the sole developer of the TAR Centre project after it had acquired Tamasa Holding’s share for a cash consideration of RM 572758. • The development
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Revenue Management and Pricing Case 1: The Springfield Nor’easters: Maximizing Revenues in the Minor Leagues Question 1: Based on the survey‚ we determine the accumulated percentage of customers’ willingness to pay at each price. Since the demand differs as the price changes‚ we want to see by which combination we can maximize our profit. Assuming the population is 100 people‚ we multiply the accumulated percentage and the price to estimate our revenue: Therefore we get our initial estimate of
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