Ever increasing personalized modal share in Indian urban scenario has resulted in multiple issues like congestion, delays, deteriorating ambient air quality and increased accident rates. Existing Public transportation...
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Ever increasing personalized modal share in Indian urban scenario has resulted in multiple issues like congestion, delays, deteriorating ambient air quality and increased accident rates. Existing Public transportation systems are either falling short of meeting the travel needs or deemed ineffective owing to multiple factors. Ever increasing personalized vehicular ownership due to improving per capita income of the household is resulting in gradual drop in occupancy of public transportation systems like buses. This scenario is almost similar in all progressive cities in India. During the recent past, Urban Local Bodies (ULBs), State and Central Governments are exploring the option of introducing Mass Rapid Transit Systems (MRTS) to alleviate the above concerns. But, financial feasibility of such projects, demanding high capital investment, is a major bottleneck. However, societal benefits of these projects will pay off the investments during their life cycles. It is also important for the authorities to focus on developing sustainable cities which can maintain equilibrium in social, economic and environmental aspects. Opting for sustainable transportation planning would address the said objectives by adopting appropriate planning practices and policy analysis. Sustainable transport planning needs a good assessment of the current scenario and due to non-availability of such assessment mechanisms, it was felt necessary to develop a suitable and comprehensive assessment scheme that appraise the current scenario of existing public transport system with pre-defined Performance Indicators (PI) having its special emphasis on environment, economic, financial and social sectors. Further, an appropriate benchmarking process to carry out a bespoke performance assessment of urban bus system with sustainability as key node is also been developed. Augmenting the same, an Indicator based framework is developed with 30 evaluators nested under 8 Performance Indicators followed by a
In this paper, a study of the stress-strength reliability model is introduced subject to the exponentiated power generalized Weibull distribution. The maximum likelihood estimator for the stress-strength reliability f...
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In this paper, a study of the stress-strength reliability model is introduced subject to the exponentiated power generalized Weibull distribution. The maximum likelihood estimator for the stress-strength reliability function is deduced. The asymptotic confidence interval for the stressstrength reliability function is derived. The fuzzy stressstrength reliability function is discussed using the triangular membership function. A Bayesian estimator for the stressstrength reliability function is deduced. A real data application is introduced to show the results for the stress-strength model based on real data and compare the use of exponentiated power generalized Weibull distribution with existing distributions.
The paper presents a comparison between different membershipfunctions based type-1 fuzzy set for automatic hand gesture recognition for American Sign Language recognition. First pre-processing of the images is done u...
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ISBN:
(纸本)9781467366229
The paper presents a comparison between different membershipfunctions based type-1 fuzzy set for automatic hand gesture recognition for American Sign Language recognition. First pre-processing of the images is done using skin color based segmentation, morphological operations and to extract the hand gesture image from the background, Sobel edge detection technique is performed. Then the image is sub-divided into 9 quadrants and for each quadrant, the area enclosed by the image in that specific quadrant is calculated. Based on areas from 15 images for a particular quadrant, the Gaussian three membership curves triangular, trapezoidal and Gaussian are designed. Now for an unknown gesture, nine membership values are determined and the summation of these membership values produces the strength of the unknown hand gesture matched with a known gesture. The highest strength obtained for a known gesture is the desired result. Experimentally, it is found that trapezoidal membershipfunction outperforms the other two membershipfunctions and gives overall an accuracy of 85.83%.
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