Communication Engineering (RACE-2014)‚ 28-29 March 2014 A Review of Diversity Techniques in Wireless Communication system Satyanand Choudhary1‚ Surbhi Jha2 ‚ Prabhakar Sharma3 1‚2 3 B.Tech Student‚ I.T.S Engineering College‚ Greater Noida Assistant Professor‚ I.T.S Engineering College‚ Greater Noida 1 Satyanand.chaudhary@gmail.com 2 surbhi3jha@gmail.com 3 prabhakar.sh@gmail.com Abstract—It is the technique used to compensate for fading channel impairments. It is implemented by using
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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steps involved in the simplex algorithm for solving a linear programming maximization problem. Also define the technical terms used therein. 3. ``Linear programming is one of the most frequently and successfully employed Operations Research techniques to managerial and business decisions.’’ Elucidate this statement with some examples. …2… …2… 4. Describe the transporation problem and give its mathematical model. Explain‚ by taking an illustration‚ the North-West Corner Rule‚ the Least Cost
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Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the
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Module 815 Data Structures Using C M. Campbell © 1993 Deakin University Module 815 Data Structures Using C Aim After working through this module you should be able to create and use new and complex data types within C programs. Learning objectives After working through this module you should be able to: 1. Manipulate character strings in C programs. 2. Declare and manipulate single and multi-dimensional arrays of the C data types. 3. Create‚ manipulate and manage C pointers
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Data Recovery Book V1.0 (Visit http://www.easeus.com for more information) DATA RECOVERY BOOK V1.0 FOREWORD ---------------------------------------------------------------------------------------------------------------------The core of information age is the information technology‚ while the core of the information technology consists in the information process and storage. Along with the rapid development of the information and the popularization of the personal computer‚ people find information
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1. a. “Statistics is the nerve center for Operations Research.” Discuss. b. State any four areas for the application of OR techniques in Financial Management‚ how it improves the performance of the organization. 2. At the beginning of a month‚ a lady has Rs. 30‚000 available in cash. She expects to receive certain revenues at the beginning of the months 1‚ 2‚ 3 and 4 and pay the bills after that‚ as detailed here: Month Revenue Bills 1 Rs
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INDUSTRIAL STATISTICS AND OPERATIONAL MANAGEMENT 6 : FORECASTING TECHNIQUES Dr. Ravi Mahendra Gor Associate Dean ICFAI Business School ICFAI HOuse‚ Nr. GNFC INFO Tower S. G. Road Bodakdev Ahmedabad-380054 Ph.: 079-26858632 (O); 079-26464029 (R); 09825323243 (M) E-mail: ravigor@hotmail.com Contents Introduction Some applications of forecasting Defining forecasting General steps in the forecasting process Qualitative techniques in forecasting Time series methods The Naive Methods Simple Moving
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Americans leave long electronic trails of private information wherever they go. But too often‚ that data is compromised. When they shop—whether online or at brick and mortar stores—retailers gain access to their credit card numbers. Medical institutions maintain patient records‚ which are increasingly electronic. Corporations store copious customer lists and employee Social Security numbers. These types of data frequently get loose. Hackers gain entry to improperly protected networks‚ thieves steal employee
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The Delphi Technique — What Is It? | 2. | History | 3. | Key characteristics | 4. | Role of the facilitator | 5. | Use in forecasting | 6. | Acceptance | 7. | Delphi applications not aiming at consensus | 8. | Delphi vs. prediction markets | 9. | The Delphi Technique | 10. | Disrupting the Delphi | 11. | From the representative Republic to a Participatory Democracy | 12. | Prioritization Process Using Delphi Technique | 13. | Delphi Method | The Delphi Technique — What Is
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