Suffragettes of the empire, daughters of the republic: women auto/biographers narrate national history (1918-1935)

AbstractThis paper explores modes of autobiographical writing by female authors in the early republican period. Women's autobiographies draw a strict distinction between the narration of the private and the public self, as they promote the narration of the undomestic, professional self at the expense of the private. Ironically, even if the autobiographers in question were politically active in suffrage, women's autobiographies either do not represent the authors' involvement in such campaigns, or praise state feminism for granting emancipation. “Personal is political” only becomes a maxim for a later generation of women writers, with autobiographies and autobiographical novels of the post-1970 period underscoring the importance of exploring the subjectivity of the adult woman/narrator. More recent examples of auto/biographical writing blur the boundaries between private and public and narrate gendered accounts of republican history.</jats:p

Gabor Filter and Rough Clustering Based Edge Detection

This paper introduces an efficient edge detection method based on Gabor filter and rough clustering. The input image is smoothed by Gabor function, and the concept of rough clustering is used to focus on edge detection with soft computational approach. Hysteresis thresholding is used to get the actual output, i.e. edges of the input image. To show the effectiveness, the proposed technique is compared with some other edge detection methods.Comment: Proc. IEEE Conf. #30853, International Conference on Human Computer Interactions (ICHCI'13), Chennai, India, 23-24 Aug., 201

Unsupervised Text Extraction from G-Maps

This paper represents an text extraction method from Google maps, GIS maps/images. Due to an unsupervised approach there is no requirement of any prior knowledge or training set about the textual and non-textual parts. Fuzzy CMeans clustering technique is used for image segmentation and Prewitt method is used to detect the edges. Connected component analysis and gridding technique enhance the correctness of the results. The proposed method reaches 98.5% accuracy level on the basis of experimental data sets.Comment: Proc. IEEE Conf. #30853, International Conference on Human Computer Interactions (ICHCI'13), Chennai, India, 23-24 Aug., 201

Lagrange formulation of the symmetric teleparallel gravity

We develop a symmetric teleparallel gravity model in a space-time with only the non-metricity is nonzero, in terms of a Lagrangian quadratic in the non-metricity tensor. We present a detailed discussion of the variations that may be used for any gravitational formulation. We seek Schwarzschild-type solutions because of its observational significance and obtain a class of solutions that includes Schwarzschild-type, Schwarzschild-de Sitter-type and Reissner-Nordstr\"{o}m-type solutions for certain values of the parameters. We also discuss the physical relevance of these solutions.Comment: Corrected typos, Accepted for publication in IJMP-

The Quadratic Symmetric Teleparallel Gravity in Two-Dimensions

A 2D symmetric teleparallel gravity model is given by a generic 4-parameter action that is quadratic in the non-metricity tensor. Variational field equations are derived. A class of conformally flat solutions is given. We also discuss static and cosmological solutions