SUBJECT : How to Improve Brand Recognition in Television Commercials Introduction: The television commercials in India have continued to have a huge variety inthem. They were funny‚ witty‚ emotional‚ inspirational‚ with good music and sound and someeven managed to strike a chord in everyones hearts. Many lasted for a longer period‚somecame and went quickly‚ and some didnt even last even for a couple of weeks. TelevisionCommercials(TVC) are perhaps one of the best tools for creating awareness
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Computer Retirement Computer Retirement Steve L. Campbell MIS515.Tucson August 10‚ 2012 Steve L. Campbell MIS515.Tucson August 10‚ 2012 Introduction. There are numerous reasons to retire our computer technology. Some systems become obsolete due to current technological advances. Some are replaced because they become infected with viruses or otherwise no longer function properly. And others simply just don’t meet the requirements of our business. In order to retire these systems in an
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CHAPTER ONE Introduction 1.1 Background of the study Local authority revenue is the money collected from provision of service and donation from individual and other organization. Every local authority globally has its type of revenue that it collects depending upon the environments surrounding it and the type of service it offers to its resident or citizens. The availability control and use of finances are the core of any organization
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Plant species recognition is a prominent research area similar to Face recognition problem. Plant species recognition done through image processing has common obstacles in images such as illumination‚ viewpoints‚ orientation‚ background colour variations. Apart from this plant species recognition is hard since it has many species with inter-class and intra-class variations. To solve these problems‚ a backpropagation neural network (BPNN) has been created. This BPNN model contains an input layer‚
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Imraan Steyn and Vernon Parnell entered a contract of sale (orally)‚ where Steyn sold his white BMW to Parnell. Both agreed on a purchase price of R10 000. Parnell briefly inspected the interior and exterior of the car and started the engine‚ he approved of the car and decided to buy the car. Parnell paid the full purchase price of R10 000 to Steyn. Later that week‚ Parnell experienced major problems with car when the engine fell out‚ he had his mechanic inspect the car. The mechanic found that the
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Case: AMERICAN CHEMICAL CORPORATION 1. Executive Summary Dixon‚ an American specialty chemical producer‚ wants to buy Collinsville plant from American Chemical Corporation‚ another typical chemical company in 1979. Dixon wants to diversify its product line buy acquiring the aforesaid plant‚ which produces sodium-chlorate to supply to paper producers in Southeastern part of the US. This plant initially cost 12 mln. USD and additional 2‚25 mln. USD needed to buy laminate technology to increase efficiency
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IRAC Briefs Regulatory risks are risks that many domestic and international organizations assume when it fails to comply with the government regulation. Whether federal‚ state‚ or international non-compliance puts an organization at risk of negative publicity‚ diminished revenue‚ tort liability and the total demise of the organization existences within the market completely. The combination of domestic and international business presents more regulatory risk with opportunities for expansion‚ growth
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Joyce Brown Face Recognition The purpose of this paper is to explain the processes associated with face recognition‚ identification and classification‚ the role of encoding and retrieval processes involved with long-term memory and how it affects face recognition‚ and identify two possible errors that can occur with face recognition. Face perception is multifaceted‚ individuals are capable of gathering a continuous stream of social information‚ ranging from verbal and nonverbal communication
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Speech Recognition Technologies Abstract While commercial solutions for precise indoor positioning exist‚ they are costly and require installation of additional infrastructure‚ which limits opportunities for widespread adoption. Inspired by robotics techniques of Simultaneous Localization and Mapping (SLAM) and computer vision approaches using structured light patterns‚ we propose a self-contained solution to precise indoor positioning that requires no additional environmental infrastructure
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pattern recognition In machine learning‚ pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification‚ which attempts to assign each input value to one of a given set of classes (for example‚ determine whether a given email is "spam" or "non-spam"). However‚ pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression‚ which assigns a real-valued output to each input; sequence
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