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Conscious Study Of Impact Of Dust Storm On Aviation And Airport Management.
Hardik Gohel
Abstract:
This paper assessed the ecotoxicity of dust storm on aviation and airport management risk in the various Arab countries environment. Here we are going to discuss the various aspects of dust storm and its effect on aviation. The study includes occasion's occurs of dust storm where many challenges has been faced by aviation at the time of flying as well as in airport also.
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1-13
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Environmental Attitudes And Energy Consumption Among Tenants In A High-Rise Multi-Unit Residential Building In Toronto, Canada.
Samira Zare Mohazabieh, Alan S. Fung and Vera Straka
Abstract:
The influence that environmental knowledge and belief have on people's behaviour is one of the important issues. However, currently, there is not enough study on household energy use at an occupant level or on evaluation of elements that can affect household's energy use in Canadian buildings.
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14-34
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Prospects For The Mechanical Harvesting Of Hazelnut.
Merab Mamuladze
Abstract:
The aim of this paper is to gives omenewandnotyet investigated results about the experimental pattern of the flowsheet of the hazelnut harvesting machine, dedicated to the processing of technological processes of the nuts harvesting, removal and collection of husks. Because ofthe harvesting of hazelnut is still carried out mostly by hands or the semi-mechanized way in those countries (Turkey, Georgia and other countries) where there are the industrial production of these crops.
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35-41
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Allocating Feedback Strategies In General Multichannel Queuing Problems With Balking And Reneging.
Meenu Gupta,Man Singh And Deepak Gupta
Abstract:
The objective of this paper is to treat the solution of network of general queuing system having multi parallel server serial queues and single server non serial queues with balking and reneging considering the concepts of feedback.
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42-57
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Development Of An Adaptive Fuzzy Logic Load Frequency Control Model.
Sandeep Kaur
Abstract:
Fuzzy logic solves the problem of non linear systems and handles them with great efficiency and provides robustness to the system. However our aim lies in achieving the adaptive Fuzzy logic load frequency control model for gain scheduling Fuzzy provides a robust inference mechanism with no learning and adaptability and artificial neural network provides learning and adaptability.
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58-68
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