store data | | | |storage is long term data. | | | |Input and Output Devices |Devices that are linked to the |Input devices is supposed to send |
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different types, accelerators built using reconfigurable fabric, such as FPGAs, have a tremendous potential due to the ability to customize the hardware to the application. However, the lack of a standard design methodology hinders the adoption of such devices and makes difficult the portability and reusability across designs. In addition, generation of highly customized circuits does not integrate nicely with high level synthesis tools. In this work, we introduce TARCAD, a template architecture to design
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A REPORT ON INTELLIGENT HUMIDISTAT BY Rohan Mehta 2011B5A3376P Aditya Pillai 2011B3A3530P Shantanu Maharwal 2011B2A3700P Gaurav Dadhich 2011B3A8513P AT BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE, PILANI A REPORT ON INTELLIGENT HUMIDISTAT BY Rohan Mehta 2011B5A3376P Aditya Pillai 2011B3A3530P Shantanu Maharwal 2011B2A3700P Gaurav Dadhich 2011B3A8513P Prepared in Partial fulfilment of the requirements of the course “Microprocessors and Interfacing”
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the same way that friction clutches are. * Dog clutches are used inside manual automotive transmissions to lock different gears to the rotating input and output shafts. A synchromesharrangement ensures smooth engagement by matching the shaft speeds before the dog clutch is allowed to engage. Friction Clutch: * A clutch is a mechanical device that provides for the transmission of power (and therefore usually motion) from one component (the driving member) to another (the driven member) when
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| | |Second Semester MBA | |Term Paper | |HUMAN RESOURCE DEVELOPMENT
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and multiplexes the wavelengths over a single fiber. Advantage: Very high capacities over fiber. Disadvantage: Cost Complexity (B) Differentiate between the two TDM schemes. Synchronous Time Division Multiplexing * Accepts input from attached devices in a round-robin fashion * Transmits data in a never ending pattern Statistical Time Division Multiplexing * transmits only the data from active workstations * Accepts incoming data streams * Creates a frame containing
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In general, we assume that these operations are performed by some type of machine or computer, although some of them could also be carried out manually. Data processing system refers to the equipment or devices and procedures by which the result is achieved. DATA PROCESSING CYCLE 1. INPUT: In
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NEURAL NETWORKS by Christos Stergiou and Dimitrios Siganos | Abstract This report is an introduction to Artificial Neural Networks. The various types of neural networks are explained and demonstrated, applications of neural networks like ANNs in medicine are described, and a detailed historical background is provided. The connection between the artificial and the real thing is also investigated and explained. Finally, the mathematical models involved are presented and demonstrated. Contents:
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manipulate disseminate f eedback Components of an IS ? Input (I/P) ¨ the activity of collecting, capturing or gathering of raw data. E.g to produce a paycheck for an em ployee ? No. of hours work, h ourly r at e ¨ can be m anual or autom atic ¨ input device i.e. scanner, keyboard etc.. 2 Components of an IS ¡ c o n t¡ ? Process ¨ the activity of manipulating, converting or transforming data into useful outputs. ¨ involves calculations or com parisons ¨ E.g to produce
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system m of or a business organization. producing outputs in an organized transformation process. Such a interacting components or functions: • Input involves capturing and assembling elements that enter the system to be processed. For example, raw materials, energy, data, and human efforts must be secured and organized for processing. • Processing involves transformation process that convert input into output. Examples are a manufacturing process, the human breathing process
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