The Press council

This study analyses the role of the Press Council as a champion and guard of free speech. It discusses the extent to which the Council succeeded in achieving its statutory objective of preserving the freedom of the press and maintaining and improving the standards of newspapers and news agencies. It also examines the inherent and in-built weaknesses of the Council and suggests ways and means for restructuring and enlarging its functions.

Dynamical aspects of coupled Rossler systems: effects of noise

Nonlinear time series analysis is employed to study the complex behaviour exhibited by a coupled pair of Rossler systems. Dimensional analysis with emphasis on the topological correlation dimension and the Kolmogorov entropy of the system is carried out in the coupling parameter space. The regime of phase synchronization is identified and the extent of synchronization between the systems constituting the coupled system is quantified by the phase synchronization index. The effect of noise on the coupling between the systems is also investigated. An exhaustive study of the topological, dynamical and synchronization properties of the nonlinear system under consideration in its characteristic parameter space is attempted.

Significance of Time Scales in Nonlinear Dynamical Analysis of Electroencephalogram Signals

We propose to show in this paper, that the time series obtained from biological systems such as human brain are invariably nonstationary because of different time scales involved in the dynamical process. This makes the invariant parameters time dependent. We made a global analysis of the EEG data obtained from the eight locations on the skull space and studied simultaneously the dynamical characteristics from various parts of the brain. We have proved that the dynamical parameters are sensitive to the time scales and hence in the study of brain one must identify all relevant time scales involved in the process to get an insight in the working of brain.

Management of Newspaper Industry in Kerala with Special Reference to Marketing

The general objective of the study is to examine in depth the organisation and management practices of newspaper industry in Kerala with particular reference to the marketing aspects, with a View to suggesting measures for improving the economics and the managerial efficiency of the industry. The detailed investigation into the management aspects of the industry is done with particular reference to the two most popular Malayalam dailies in Kerala, namely, the Malayala Manorama and the Mathrubhumi. The purposeful selection of these two papers for the study is amply justified as these two dailies together account for about 80 percent of the total circulation of the newspapers in Kerala. Technically speaking, both these papers are owned by organisations registered as public limited companies and are, to a large extent professionally managed. The Malayala Manorama, though a public limited company in principle, functions, however, more or less as a private company or a family concern. These two papers therefore provide a scope for studying the management of newspaper industry practically under two different organisational set up, namely private limited company and public limited company The study has been divided into eight chapters. Chapter-I spells out an introduction about the newspaper industry and its unique features.Chapter-II, deals with a review of literature, objective, scope, methodology and limitations of the study. Chapter-III deals with origin, growth and status of newspaper industry. Chapter—IV examines the cost, revenue and profitability of the Malayala Manorama and Mathrubhumi. Chapter-V deals with the Organisation and Management. Chapter-VI examines the Marketing Management of Newspapers. Chapter-VII deals with the Marketing Strategy and Performance of Malayala Manorama and Mathrubhumi: An Assessment. Chapter-VIII presents the main findings of the study.

" Nonlinear Signal Processing of Electroencephalogram .' Application in the Study of Neurodynamics. "

Interfacings of various subjects generate new field ofstudy and research that help in advancing human knowledge. One of the latest of such fields is Neurotechnology, which is an effective amalgamation of neuroscience, physics, biomedical engineering and computational methods. Neurotechnology provides a platform to interact physicist; neurologist and engineers to break methodology and terminology related barriers. Advancements in Computational capability, wider scope of applications in nonlinear dynamics and chaos in complex systems enhanced study of neurodynamics. However there is a need for an effective dialogue among physicists, neurologists and engineers. Application of computer based technology in the field of medicine through signal and image processing, creation of clinical databases for helping clinicians etc are widely acknowledged. Such synergic effects between widely separated disciplines may help in enhancing the effectiveness of existing diagnostic methods. One of the recent methods in this direction is analysis of electroencephalogram with the help of methods in nonlinear dynamics. This thesis is an effort to understand the functional aspects of human brain by studying electroencephalogram. The algorithms and other related methods developed in the present work can be interfaced with a digital EEG machine to unfold the information hidden in the signal. Ultimately this can be used as a diagnostic tool.

k-NN based On-Line Handwritten Character recognition system

On-line handwriting recognition has been a frontier area of research for the last few decades under the purview of pattern recognition. Word processing turns to be a vexing experience even if it is with the assistance of an alphanumeric keyboard in Indian languages. A natural solution for this problem is offered through online character recognition. There is abundant literature on the handwriting recognition of western, Chinese and Japanese scripts, but there are very few related to the recognition of Indic script such as Malayalam. This paper presents an efficient Online Handwritten character Recognition System for Malayalam Characters (OHR-M) using K-NN algorithm. It would help in recognizing Malayalam text entered using pen-like devices. A novel feature extraction method, a combination of time domain features and dynamic representation of writing direction along with its curvature is used for recognizing Malayalam characters. This writer independent system gives an excellent accuracy of 98.125% with recognition time of 15-30 milliseconds

Archiving News In A University Using Open Source Software

Newspapers cover a large amount of information everyday on topics of varied interests. To a university, newspapers are essential components of communication as they cover various happenings in a university. These items of information are neither stored properly nor put in retrieval systems for future use. The news and views appeared in newspapers can effectively be organized in a digital library making use of open source software. The CUSAT digital library (http://dspace.cusat.ac.in/dspace/) has organized some news items that appeared in local newspapers about the university under a special community named “CUSAT-News”. This article describes the methods of collecting, selecting, organizing, providing access and preserving news items required by a university using DSpace open source software.