Final revised proposal to encode the Saurashtra script in the UCS

This is a proposal to encode the Saurashtra in the international character encoding standard Unicode. The script was published in Unicode Standard version 5.1 in March 2008. The Saurashtra script has been used to write the Saurashtra language, which is spoken in southern India. The language is today most often written in the Tamil script, but since the end of the 19c has been written with the Telugu, Tamil, Devanagari and Saurashtra scripts

Final revised proposal to encode the Saurashtra script in the UCS

This is a proposal to encode the Saurashtra in the international character encoding standard Unicode. The script was published in Unicode Standard version 5.1 in March 2008. The Saurashtra script has been used to write the Saurashtra language, which is spoken in southern India. The language is today most often written in the Tamil script, but since the end of the 19c has been written with the Telugu, Tamil, Devanagari and Saurashtra scripts

Detecting conversing groups of chatters: a model, algorithms, and tests

Chatrooms, for example Internet Relay Chat, are gen erally multi-user, multi-channel and multi-server c hat-systems, which run over the Internet and provide a protocol for real-time text-based conferencing between users all over the world. While a well-trained human observer is able to unde rstand who is chatting with whom, there are no effi cient and accurate automated tools to determine the groups of users co nversing with each other. A precursor to analyze ev olving cybersocial phenomena is to first determine what the con versations are and which groups of chatters are inv olved in each conversation. We consider this problem in this pape r. We propose an algorithm to discover all groups o f users that are engaged in conversation. Our algorithms are based o n a statistical model of a chatroom that is founded on our experience with real chatrooms. Our approach does not require any semantic analysis of the conversations; rather it is based purely on the statistical information contained in the seq uence of posts. We improve the accuracy by applying some graph algorithms to clean the statistical information. We present some experimental results, which indicate that one can automatically determine the conversing groups in a chatroom, purely on the basis of statistical analys is. KEYWORDS social networks, conversing groups, IRC, chatters, chatrooms, chatroom model. 1

Severe Geomagnetic Disturbance of 19 Dec. 1980

76-77Features of a severe geomagnetic storm with sudden commencement on 19 Dec. 1980, recorded at Indian magnetic stations are compared and some salient statistics are presented

Performance Analysis of Fault Tolerant UAV Baseline Control Laws with L1 Adaptive Augmentation

In this paper, the performance of L1 adaptive control laws is investigated in the presence of aircraft actuator failures and atmospheric turbulence. L1 adaptive control is combined with a linear type controller and a nonlinear dynamic inversion-based outer/inner loop controller. Specific evaluation metrics are defined in terms of trajectory tracking errors and control activity during autonomous flight. Several types of trajectories with different levels of complexity are considered in this research effort. The West Virginia University unmanned aerial vehicle simulation environment is used in this analysis. The results show that the adaptive augmentation improves the tracking performance of the vehicle at nominal conditions and under a variety of abnormal flight conditions