3,219 research outputs found
Secularism and Its Discontents: The Moorâs Last Sigh and Riot
The recurrent theme of dropping frontiers in a world which has become increasingly
heterogeneous but intolerant is the leitmotif of Sashi Tharoorâs Riot and Salman Rushdieâs The
Moorâs Last Sigh. The figure of the Moor and his hybrid genealogy is central to Rushdieâs
vision, as he reconstructs a syncretic, tolerant Moorish Spain and juxtaposes it with Bombay,
his haven of pluralism. He celebrates Nehruâs vision of a new Indian nation which, in keeping
with the traditions of western modernity, promised to be above religion, clan, and narrow
parochial considerations.
With the vanishing of such ideals and hopes, as boundaries and religious communalism are
getting intensified these diasporic cosmopolitan writers make a case for a boundless world.
Their response is a human subjectivity which transcends color, class, narrow parochialism,
tribalism and fundamentalism. Secularism is the very base of their humane approach. This
essay, therefore, analyzes the theme of secularism and its discontents, particularly in the
context of the coexistence of Hindus and Muslims in India, as it runs through Rushdieâs The
Moorâs Last Sigh and Tharoorâs Riot by exploring the various layers of allegories related to
pluralism and the critique of fundamentalism in them. Toward this end, it will focus on the
recent debates on Indian secularism by scholars to interrogate the relevance of the European
model of secularism which argues for the separation of state and religion
Optimisation of operations of wet vacuuming the carpets in Spotless services
The research topic, Optimisation of operations of wet vacuuming the carpets in Spotless cleaning services, was chosen by analysing problems in the operations of the organisation. Mixed methods involving survey and an interview, were used in the research. The survey was taken with thirty workers from the organisation, and the supervisor was interviewed. From the results, the findings are:
⢠The machine is hard to pull and handle during the work
⢠Time allotted to employees is insufficient to complete the work
⢠Time allotment is a challenge for the supervisor
⢠Safety & PPE measures needs to be increased
Solutions for the problem faced by the organisation are: follow-up / refresher training programmes need to conducted: an upgrade to easy-to-use machines that will help the workers to do the work within the given time. If the organisation follows the recommendations it will help the company to optimise wet vacuuming service operations
Some Theorems for Feed Forward Neural Networks
In this paper we introduce a new method which employs the concept of
"Orientation Vectors" to train a feed forward neural network and suitable for
problems where large dimensions are involved and the clusters are
characteristically sparse. The new method is not NP hard as the problem size
increases. We `derive' the method by starting from Kolmogrov's method and then
relax some of the stringent conditions. We show for most classification
problems three layers are sufficient and the network size depends on the number
of clusters. We prove as the number of clusters increase from N to N+dN the
number of processing elements in the first layer only increases by d(logN), and
are proportional to the number of classes, and the method is not NP hard.
Many examples are solved to demonstrate that the method of Orientation
Vectors requires much less computational effort than Radial Basis Function
methods and other techniques wherein distance computations are required, in
fact the present method increases logarithmically with problem size compared to
the Radial Basis Function method and the other methods which depend on distance
computations e.g statistical methods where probabilistic distances are
calculated. A practical method of applying the concept of Occum's razor to
choose between two architectures which solve the same classification problem
has been described. The ramifications of the above findings on the field of
Deep Learning have also been briefly investigated and we have found that it
directly leads to the existence of certain types of NN architectures which can
be used as a "mapping engine", which has the property of "invertibility", thus
improving the prospect of their deployment for solving problems involving Deep
Learning and hierarchical classification. The latter possibility has a lot of
future scope in the areas of machine learning and cloud computing.Comment: 15 pages 13 figure
Factors Responsible for Paddy Growersâ Diversification
In Tamil Nadu, a constituent state of India, the cultivable area under paddy had reduced over the period of time due to various factors. This study aims to enumerate the factors responsible for paddy growersâ diversification in the study area. Altogether 60 respondents were asked for the factors responsible for diversification. The major push factor responsible for diversification was inadequate labour availability & irrigation and availability of farm inputs was the major pull factor
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