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    Data Processing

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    Data Processing Data Processing is the term generally used to describe what was done by large mainframe computers from the late 1940’s until the early 1980’s (and which continues to be done in most large organizations to a greater or lesser extent even today): large volumes of raw transaction data fed into programs that update a master file‚ with fixed-format reports written to paper. Number System A numeral system (or system of numeration) is a writing system for expressing numbers‚ that is

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    Food Processing

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    Food Processing Throughout the history of mankind science has searched into the realms of the unknown. Along with it bringing new discoveries‚ allowing for our lives to become healthier‚ more efficient‚ safer‚ and at the same time‚ possibly more dangerous. Among the forces driving scientists into these many experiments‚ is the desire to preserve the one fuel that keeps our lives going; FOOD. As early as the beginning of the 19th century‚ major breakthroughs in food preservation had begun. Soldiers

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    Image Processing

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    DIGITAL IMAGE PROCESSING (CREATIVE WORLD OF FACE MORPHING) BY ABSTRACT A study on face morphing is proposed.The algorithms explains the extra feature of points on face and based on these feature points‚ images are portioned and morphing is performed. The algorithms has been used to generate morphing between images of face of different people as well as between images of face of individuals. To do face morphing‚ feature points are usually specified manually

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    Image Processing

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    ordered set of boundary points represents the contour of a given shape and is important for curvature-based shape descriptors. Categories and Subject Descriptors I.4.6 [Image Processing and Computer Vision]: Segmentation ¡V Edge and feature detection‚ Pixel classification General Terms Algorithms. Keywords Image Processing; Contour Tracing; Shape Boundary Extraction. 1. INTRODUCTION Contour tracing is an important process in boundary-based shape matching. All shapes are represented by a pattern

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    Textile Processing

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    SRI BHAVANI TEXTILE PROCESSING: The plant performs the following operations of wet processing 1. Singeing(Fabric) -Gas Singeing 2. Desizing 3. Mercerisation(Fabric) 4. Scouring and Bleaching 5. Dyeing -Kier boiler -Jigger -Jet dyeing -Beam dyeing 6. Dyeing(yarn) -Cheese dyeing 7. Finishing -Stenter -Zero-Zero -Calendering 8. Printing -Flat bed printing 9. Dot coating DESIZING: Mts=1095 Volume=650 Indent type=non organic Temp=80 Weight=378 Time:

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    Radiology Tech

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    Why I Want to Become a Radiologic Technologist 2007 Since the times of my adolescence‚ I was sure that medicine is my true devotion and my only future occupation. When I was a teenager‚ I used to take care about my sister‚ who had a lot of various problems with her health and sometimes needed constant medical supervision. Therefore‚ during my regular visits to hospitals I had opportunity to observe different hardships and challenges doctors have to

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    Fruit Processing

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    FRUIT PROCESSING 1.0 INTRODUCTION Fruits are an important source of energy for human-beings but they are perishable items. Hence since many years various products are made from juice of fruits so that they can be consumed during off season as well. Products like jam‚ jelly‚ squash etc. are made from fruits since long. With the advent of technology and preservatives‚ shelf life of such products has gone up and they can be preserved for many months with proper packing. The proposed location of this

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    Tech. Entrepreneur

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    Pre-reading Reading: “3M Post-It Notes: A Managed or Accidental Innovation?” As you read this case story‚ think about the following two questions: 1. What were the critical factors that enabled 3M Post-it Notes to be successfully commercialized and what can we generalize about managing the innovation process from this case history? 2. What were the critical roles performed by some of the key individuals‚ including Silver‚ Oliveira‚ Nicholson‚ Fry‚ and Ramey? 1 33 3M’s Post-it Notes: A Managed

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    Data Processing

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    Data Processing During the collection of data‚ our group noted the effect that temperature change had on aquatic macro invertebrates. Our data was collected from three different ponds amongst the Lake Harriet/Lake Calhoun vicinity. We took samples from the bird sanctuary pond‚ Lake Calhoun holding pond and the Lake Harriet duck area. Prior to our procedure‚ we measured the temperatures of each pond area. We used the low-temperature climate (bird sanctuary pond) to compare to the higher-temperature

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    processing food

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    Processing lines of food industry (PL) – exam questions 1. Foods division according theirs durability 2. Main reasons of food losses and food destruction 3. Ways of food durability prolongation 4. Basic terms of PL 5. Balance sheet of PL (technology process) – mass‚ energy‚ information 6. Criteria of PL subdivision 7. Types of reserves in PL 8. PL design principles and steps (user‚ designer‚ manufacturer) 9. Water activity; goals of food industry 10. Ways of PL energy consumption reduction

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