DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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This is the origin of natural language processing (NLP). The idea of natural language processing is to design and build a computer system that will analyze ‚ understand and generate natural human-languages. Natural language communication with computers has long been a major goal of artificial intelligence‚ both for the information it can give about intelligence in general‚ and for practical utility. There are many applications of natural language processing developed over the years. They can be mainly
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continuously. Calculate ΔHsol. Ignore the heat capacity of the caleriometer. _Results_ RAW DATA Tab.1. The different data required for the calculations. Trial Mass of NaOH / g (± 0.001 g) Volume of H2O / ml (± 1 ml) Initial Temperature / °C (± 1 °C) Final Temperature / °C (± 1 °C) 1 3.954 50 19 39 2 4.027 70 19 33 3 3.991 80 19 31 4 3.988 100 19 28 One qualitative data that might have affected the results is that the Sodium Hydroxide (NaOH) seemed to start
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Contents 1. AGRO-PROCESSING: AN INTRODUCTION 3 2. GROWTH OF AGRO PROCESSING SECTOR 3 3. GOVERNMENT POLICIES 4 4. SWOT ANALYSIS FOR AGRO-PROCESSING INDUSTRY 6 5. GOAL 2015 7 6. ORGANISATION-VAPCOL 8 7. PRODUCT: CASHEW-NUT 9 7.1 Cashew industry in India: An Overview 10 7.2 Supply chain of Cashew product marketed by Vapcol 11 7.3 Value Addition Process 12 7.4 Sales and distribution and Marketing of Cashew nut 12 REFERENCES 13 List of tables Table 1: Agro-Processing Industries in India—Growth
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February‚ 2006‚ Revised October ‚ 2007 ARAVIND IMMANENI‚ CHRISTIAN TERWIESCH Loan Processing at Capital One It was in late July 2004 and Rick Weis‚ operations manager of the loan processing center at Capital One‚ was looking over the marketing forecast for the upcoming quarter. Following several months during which Capital One had funded significantly fewer loans than targeted‚ Capital One’s marketing team was now planning for a significant direct marketing effort. This marketing effort‚ which
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Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75
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E-commerce about? Electronic commerce is defined as the buying and selling of products or services over electronic systems such as the Internet and to a lesser extent‚ other computer networks. It is generally regarded as the sales and commercial function of e-Business. There has been a massive increase in the level of trade conducted electronically since the widespread penetration of the Internet. A wide variety of commerce is conducted via e-commerce‚ including electronic funds transfer‚ supply
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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Data collection is any process of preparing and collecting data‚ for example‚ as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record‚ to make decisions about important issues‚ or to pass information on to others. Data are primarily collected to provide information regarding a specific topic. Data collection usually takes place early on in an improvement project‚ and is often formalized through a data collection plan which often
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