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Transformation is an art of wavering chattels from one location to the other location or one zone to the other zone or one pattern to the other pattern. Designing any regular or irregular polygonal structures especially in tile pasting plays decisive portrayal of procreation. Tile pasting is a technique of gluing tiles in sequence of specific nature, and subsidize collection of structures to the constructors. The sequence of tile pasting can be analyzed and the best sequential path will be determined using Viterbi Algorithm. The pictorial representation of Viterbi algorithm is the trellis path that hand out more strength to the algorithm which shows the sequential order of tile pasting effectively. This paper will also be initiated to find the renewable energy produced by gluing triangular tiles of different polygonal structures and gives an intention to identify the most effective structure among the shapes discussed.

Stochastic models are mainly used to rectify the real-life problems in different areas of the busy world such as marketing, trading, networking, communicating media, and challenging biomedical inventions, for the survival of mankind. Any business which runs on the basis of getting more profit with less investment includes all the resources for production and the man power too, during the current century. To bring the equality in business gain and man power, many stochastic models have been introduced since the 1940s. The different states and the steady state probabilities are discussed by the Markov models to overcome the insufficiency of man power. An Iterative Hidden Markov Model has been introduced for effective production by considering the observable states depend on hidden states under the circumstances of real-world probabilities are known and unknown. This paper mainly deals with the various machines, pharmacies, and different methods, namely, Nonadjacency Search Method and Adjacency Search Method applied through the Hyper graph. Comparison made between Nonadjacency Search Method and Adjacency Search Method through hyper assignments using cliques helps us to obtain tremendous profit through effective production and to start new pharmacies, instead of predictions through computational methods. Results were discussed based on the information obtained from Apollo pharmacies.

This paper Compares various Error correcting codes in Nano scale Memory cells in terms of Belief PropagationAlgorithm which is applied in a Markov Random Field (MRF). Soft error correction is critical for different Nano scale devices performing storage. As the Nano memories are with High fault rates, the conventional Error correcting Codes (ECCs) are not directly applicable. To achieve higher error correcting capability, a system is required that has high error detecting and correcting ability, with toleration to relatively high soft error rates. Also it requires sparse encoding, decoding and checker circuits, So that they can be synthesized using simple Nano scale hardware. In this paper the comparison is made using Belief Propagation Algorithm which is applied on Bipartite Graphs which are the MRFs.