Analysing the Role of Memory in Oral History with respect to Urvashi Butalia’s The Other Side of Silence

Partition historiography of India based on oral narratives has tried to break the silence of affirmation created by the History of India. By adding plurality to the voices of the narrator, Urvashi Butalia through her book The Other Side of Silence (1998) shatters the authoritarian voice of a single historian. Memory of the survivors and the witnesses of the ‘great’ partition of 1947 is used as the sole defense to prove that history is a dialogue between the past and the progressively emerging future. Butalia’s work of non-fiction is therefore an account of the experiences narrated orally by survivors, who are now caught between the two national identities- one created by the memories they cherish before partition and the other stamped on them after the trauma of partition. The essay aims to present the challenges faced by this oral account of history, narrated through the faculty of individual memories with all its fallacies. It therefore eliminates the elevated status enjoyed by History as a branch of literature. It further discusses in detail the reliability of memory as a source of information. Ironically, the essay also helps to prove that historiography is just another method of storytelling embedding within itself opinions, individual interests and preferences

Tuple board: a new distributed computing paradigm for mobile ad hoc networks

In this project, we introduce a new distributed computing paradigm called tuple board which is based on the tuple space abstraction originated by Gelernter and the blackboard architecture popular in distributed artificial intelligence. Most prominent implementations of tuple space systems including JavaSpaces and T-Spaces follow a centralized architecture where the space itself resides on a server, akin to a database server. Recently, researchers have attempted to develop decentralized architectures for tuple space systems. Some work includes LIME and PeerSpaces. In our opinion, the traditional implementation of tuple spaces is not well suited for ad hoc networks where devices frequently lose network access. The tuple space architecture attempts to provide persistent storage of tuples irrespective of the state of nodes in the network. While persistence may be easily implemented in centralized systems such as JavaSpaces, achieving this end in a purely decentralized environment would require complex replication schemes. This would place undue overhead on the resource-constrained devices that are typical for ad hoc networks. In the architecture used in this project the availability of tuples is determined by the state of devices participating in the network. At any given point of time, only the tuples contained in devices that are active in the network are available on the tuple board. As part of the project, a specific instance of the tuple board architecture was realized using the Anhinga Infrastructure. The system, called Anhinga Board, uses the M2MI protocol for the implementation of tuple board semantics. To demonstrate the Anhinga Board, a collaborative conference information system, consisting of tuple board based applications running on attendees devices, vendors devices, and the conference center s devices, was also developed

Effect of distortion on the buckling strength of stiffened panels

This paper predicts the behaviour of stiffened plates with different distortion levels in order to address a rational structural design procedure as pre-existing and fabricationrelated (like weld-induced) initial geometrical distortion is of great importance in structural design point of view. The considered range of scantlings, the distortion typesand levels were chosen, based on panels used at BVT Surface Fleet Ltd., where the type 45 destroyer were under construction. An analytical relation is presented based on Perry's column approach to establish the variation of buckling strength against the geometrical distortion. A parametric form of non linear finite element analysis using ABAQUS has been carried out under axial loading condition to predict the behaviour and the buckling strength. The effect of residual stress is not considered in this study. A new strength parameter is proposed to represent buckling strength which takes into account the inelastic post-buckling behaviour of the structure. The results from FE analysis are plotted in non-dimensional terms and arrived at some important conclusions

LINEAR FEATURE EXTRACTION FOR SATELLITE IMAGES USING CNLS (CONTEXTUAL NONLINEAR SMOOTHING) ALGORITHM

The satellite images present a great variety of features due to the trouble what returns their treatment is little delicate. The automated extraction of linear features from remotely sensed imagery has been the subject of extensive research over several decades. Recent studies show promise for extraction of feature information for applications such as updating geographic information systems (GIS). Research has been stimulated by the increase in available imagery in recent years following the launch of several airborne and satellite sensors. All the satellite images, which are going to be used in the present work, are going to be processed in the computer vision, for which the existing researchers are interested to analyze the synthetic images by feature extraction. These images contain many types of features. Indeed, the features are classified in 1-D feature such as step, roof and 2-D features such as corners, edges, and blocks. The satellite images present a great variety of features due to the trouble what returns their treatment is little delicate. In this we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual nonlinear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses