18,958 research outputs found

    Alumina bearing in gas-lubricated gyros

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    Friction and wear properties of alumina bearings for use in gas-lubricated gyroscope

    Phase Transitions in Multicomponent String Model

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    We propose a one-dimensional model of a string decorated with adhesion molecules (stickers) to mimic multicomponent membranes in restricted geometries. The string is bounded by two parallel walls and it interacts with one of them by short range attractive forces while the stickers are attracted by the other wall. The exact solution of the model in the case of infinite wall separation predicts both continuous and discontinuous transitions between phases characterised by low and high concentration of stickers on the string. Our model exhibits also coexistence of these two phases, similarly to models of multicomponent membranes.Comment: letter, 8 pages, 3 figure

    Contextual classification of multispectral image data

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    There are no author-identified significant results in this report

    An exploratory analysis of effectiveness of milk market in Odisha, India

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    Path planning and control of mobile robot using fuzzy logic

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    In this paper study has been carried out to improve a steering technique for an self-directed bot to work in a real world atmosphere, which should be proficient of classifying and evading hindrances, precisely in a very busy a challenging atmosphere. In this paper better method is develop in circumnavigating mobile bot in afore said atmosphere. The action and reaction of the bot is addressed by fuzzy logic control scheme. The input fuzzy members are turn angle between the bot head and the target, distance of the hindrances present all around the bot (lef, rgh, and front, back).The aforesaid input members are sensed by series of infrared sensors. The obtainable FLC for steering of bot has been applied in all complex and hostile atmosphere. The outcomes hold good for all the above mention situations

    Crop Identification Technology Assessment for Remote Sensing (CITARS)

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    The results of classifications and experiments performed for the Crop Identification Technology Assessment for Remote Sensing (CITARS) project are summarized. Fifteen data sets were classified using two analysis procedures. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. In addition, 20 data sets were classified using training statistics from another segment or date. The results of both the local and non-local classifications in terms of classification and proportion estimation are presented. Several additional experiments are described which were performed to provide additional understanding of the CITARS results. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, the spectral discriminability of corn, soybeans, and other, and analysis of aircraft multispectral data
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