Institution
National Institute of Technology, Meghalaya
Education•Shillong, India•
About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.
Papers
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TL;DR: In this article, anhydrous dichloro(dioxido)molybdenum was treated with one equivalent of (1,3-di-tert-butylpyrazolato)potassium in toluene at room temperature followed by the addition of either (1.3-dimethyl dichloropropylacetamidinato)lithium or (1.,3)-diisoprocessor-decomposition-based lithium in 3,5-tBu2pz in 53% and 32
2 citations
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TL;DR: An architecture of multi-column 5,5:4 compressor whose new transistor level implementation has been carried out through the ultra-thin-body silicon-on-insulator (UTBSOI) transistors to showcase the advantage of such compressor in the multiplier for PPA which offers ≈11.5% improvement in terms of power-delay-product (PDP) in the Virtex 6 platform.
2 citations
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TL;DR: Within very special relativity (VSR), neutrino mass term is non-local, Lorentz violating and does not need additional new fields beyond the standard model (SM) as discussed by the authors.
Abstract: Within very special relativity (VSR), neutrino mass term is non-local, Lorentz violating and does not need additional new fields beyond the standard model (SM). We can extend the SM by adding such VSR invariant mass terms for all the fermions. Gauging VSR mass term for standard model fermions induce charge lepton flavor violating (CLFV) processes, e.g., $$\mu \rightarrow e \gamma $$
, $$\mu \rightarrow eee$$
, and $$\tau \rightarrow \mu \mu \mu $$
, etc., which are absent in the SM at the tree level. We develop a procedure to calculate the three-body decay process for VSR framework and apply it to calculate the branching ratio of various CLFV processes. We also have revisited $$(g-2)_ \ell $$
in the context of VSR that put stringent constraint over the same flavor fermion photon interaction.
2 citations
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TL;DR: In this article, a relation between simplicial cones and invertible matrices is established, and it is shown that the invariant cone is a simplicial cone and the interior of the semipositive cone is not empty.
Abstract: For a given nonsingular $n\times n$ matrix $A$, the cone $S_{A}=\{x:Ax\geq 0\}$ , and its subcone $K_A$ lying on the positive orthant, called as semipositive cone, are considered. If the interior of the semipositive cone $K_A$ is not empty, then $A$ is named as semipositive matrix. It is known that $K_A$ is a proper polyhedral cone. In this paper, it is proved that $S_{A}$ is a simplicial cone and properties of its extremals are analyzed. An one-one relation between simplicial cones and invertible matrices is established. For a proper cone $K$ in $\mathbb{R}^n$, $\pi(K)$ denotes the collection of $n\times n$ matrices that leave $K$ invariant. For a given minimally semipositive matrix (no column-deleted submatrix is semipositive) $A$, it is shown that the invariant cone $\pi(K_A)$ is a simplicial cone.
2 citations
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TL;DR: The comparative evaluation shows that the semantic clustering approach outperforms all other competing statistical models and starts developing a standard lexicon in Bengali that serves as a productive Bengali linguistic thesaurus.
Abstract: One of the key issues in both natural language understanding and generation is the appropriate processing of Multiword Expressions (MWEs). MWEs pose a huge problem to the precise language processing due to their idiosyncratic nature and diversity in lexical, syntactical and semantic properties. The semantics of a MWE cannot be expressed after combining the semantics of its constituents. Therefore, the formalism of semantic clustering is often viewed as an instrument for extracting MWEs especially for resource constraint languages like Bengali. The present semantic clustering approach contributes to locate clusters of the synonymous noun tokens present in the document. These clusters in turn help measure the similarity between the constituent words of a potentially candidate phrase using a vector space model and judge the suitability of this phrase to be a MWE. In this experiment, we apply the semantic clustering approach for noun-noun bigram MWEs, though it can be extended to any types of MWEs. In parallel, the well known statistical models, namely Point-wise Mutual Information (PMI), Log Likelihood Ratio (LLR), Significance function are also employed to extract MWEs from the Bengali corpus. The comparative evaluation shows that the semantic clustering approach outperforms all other competing statistical models. As a by-product of this experiment, we have started developing a standard lexicon in Bengali that serves as a productive Bengali linguistic thesaurus.
2 citations
Authors
Showing all 517 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sudip Misra | 48 | 535 | 9846 |
Robert Wille | 43 | 457 | 6881 |
Paul C. van Oorschot | 41 | 150 | 21478 |
Sourav Das | 30 | 174 | 4026 |
Mukul Pradhan | 23 | 53 | 1990 |
Bibhuti Bhusan Biswal | 20 | 155 | 1413 |
Naba K. Nath | 20 | 39 | 1813 |
Atanu Singha Roy | 19 | 48 | 1071 |
Akhilendra Pratap Singh | 19 | 99 | 1775 |
Abhishek Singh | 19 | 107 | 1354 |
Vinay Kumar | 19 | 130 | 1442 |
Dipankar Das | 19 | 67 | 1904 |
Gayadhar Panda | 18 | 123 | 1093 |
Gitish K. Dutta | 16 | 26 | 1168 |
Kamalika Datta | 15 | 69 | 676 |