999 resultados para instrumentation design


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Hevea latex is a natural biological liquid of very complex composition .Besides rubber hydrocarbons,it contains many proteinous and resinous substances,carbohydrates,inorganic matter,water,and others.The Dry Rubber Content (DRC) of latex varies according to season, tapping system,weather,soil conditions ,clone,age of the tree etc. The true DRC of the latex must be determined to ensure fair prices for the latex during commercial exchange.The DRC of Hevea latex is a very familiar term to all in the rubber industry.It has been the basis for incentive payments to tappers who bring in more than the daily agreed poundage of latex.It is an important parameter for rubber and latex processing industries for automation and verious decesion making processes.This thesis embodies the efforts made by me to determine the DRC of rubber latex following different analytical tools such as MIR absorption,thermal analysis.dielectric spectroscopy and NIR reflectance.The rubber industry is still Looking for a compact instrument that is accurate economical,easy to use and environment friendly.I hope the results presented in this thesis will help to realise this goal in the near future.

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In this paper we use sensor-annotated abstraction hierarchies (Reising & Sanderson, 1996, 2002a,b) to show that unless appropriately instrumented, configural displays designed according to the principles of ecological interface design (EID) might be vulnerable to misinterpretation when sensors become unreliable or are unavailable. Building on foundations established in Reising and Sanderson (2002a) we use a pasteurization process control example to show how sensor-annotated AHs help the analyst determine the impact of different instrumentation engineering policies on a configural display that is part of an ecological interface. Our analyses suggest that configural displays showing higher-order properties of a system are especially vulnerable under some conservative instrumentation configurations. However, sensor-annotated AHs can be used to indicate where corrective instrumentation might be placed. We argue that if EID is to be effectively employed in the design of displays for complex systems, then the information needs of the human operator need to be considered while instrumentation requirements are being formulated. Rasmussen's abstraction hierarchy-and particularly its extension to the analysis of information captured by sensors and derived from sensors-may therefore be a useful adjunct to up-stream instrumentation design. (C) 2002 Elsevier Science Ltd. All rights reserved.

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In recent years, technological advancements in microelectronics and sensor technologies have revolutionized the field of electrical engineering. New manufacturing techniques have enabled a higher level of integration that has combined sensors and electronics into compact and inexpensive systems. Previously, the challenge in measurements was to understand the operation of the electronics and sensors, but this has now changed. Nowadays, the challenge in measurement instrumentation lies in mastering the whole system, not just the electronics. To address this issue, this doctoral dissertation studies whether it would be beneficial to consider a measurement system as a whole from the physical phenomena to the digital recording device, where each piece of the measurement system affects the system performance, rather than as a system consisting of small independent parts such as a sensor or an amplifier that could be designed separately. The objective of this doctoral dissertation is to describe in depth the development of the measurement system taking into account the challenges caused by the electrical and mechanical requirements and the measurement environment. The work is done as an empirical case study in two example applications that are both intended for scientific studies. The cases are a light sensitive biological sensor used in imaging and a gas electron multiplier detector for particle physics. The study showed that in these two cases there were a number of different parts of the measurement system that interacted with each other. Without considering these interactions, the reliability of the measurement may be compromised, which may lead to wrong conclusions about the measurement. For this reason it is beneficial to conceptualize the measurement system as a whole from the physical phenomena to the digital recording device where each piece of the measurement system affects the system performance. The results work as examples of how a measurement system can be successfully constructed to support a study of sensors and electronics.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map covering a portion of the Zhejiang Sheng region, China (map quadrangle number: H-50-XXIV). It is from a series of Soviet Army topographic maps of China 1:200,000. The source map was published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map covering a portion of the Zhejiang Sheng region, China (map quadrangle number: H-50-XXX). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1970-1975. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Shaoxing region, Zhejiang Sheng, China (map quadrangle number: H-51-XIX). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1973, 1974. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Xianju region, Zhejiang Sheng, China (map quadrangle number: H-51-XXV). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1986, this map reflects 1979 ground conditions. The source map was compiled from maps 1:100,000 published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Wenzhou region, Zhejiang Sheng, China (map quadrangle number: H-51-XXXI). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1986, this map reflects 1979 ground conditions. The source map was compiled from maps 1:100,000 published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Lishui region, Zhejiang Sheng, China (map quadrangle number: H-50-XXXVI). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1973-1975. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

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This layer is a digitized geo-referenced raster image of a 1798 map of Maine drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.

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This layer is a digitized geo-referenced raster image of a 1796 map of New Hampshire drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.

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This layer is a digitized geo-referenced raster image of a 1796 map of Vermont drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.

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This layer is a digitized geo-referenced raster image of a 1797 map of Massachusetts drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.

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This layer is a digitized geo-referenced raster image of a 1797 map of Rhode Island drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.

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This layer is a digitized geo-referenced raster image of a 1796 map of Connecticut drawn by D.F. Sotzmann. These Sotzmann maps (10 maps of New England and Mid-Atlantic states) typically portray both natural and manmade features. They are highly detailed with symbols for churches, roads, court houses, distilleries, iron works, mills, academies, county lines, town lines, and more. Relief is usually indicated by hachures and country boundaries have also been drawn. Place names are shown in both German and English and each map usually includes an index to land grants. Prime meridians used for this series are Greenwich and Washington, D.C.