Emotional Intelligence and Organisational Role Stress — A study among managers in selected industrial organisations in Kerala

Emotional intelligence is very important in organisations and the ability to manage feelings and handle stress is an important aspect of El. Even though a number of studies have been done to prove that E1 is related to organisationally relevant variables like leadership effectiveness, job satisfaction, performance, career success etc., and the theoretical grounding for emotional intelligence-stress-relationship seems sound, only a few studies have been done to establish this linkage. This study is an attempt to measure emotional intelligence and organisational role stress of managers working in industrial organisations and to examine the relationship between Emotional Intelligence and Organisational Role Stress. It also attempts to explore the influence of personal and occupational variables viz., age, education, gender, marital status, experience, department, type of organisation and designation on emotional intelligence. The investigator has also examined the difference in the level of role stress experienced by junior, middle and senior-level managers. The main objective of the study is to examine the relationship between emotional intelligence and organisational role stress.

A Writer Identification System For Handwritten Malayalam Documents

Handwriting is an acquired tool used for communication of one's observations or feelings. Factors that inuence a person's handwriting not only dependent on the individual's bio-mechanical constraints, handwriting education received, writing instrument, type of paper, background, but also factors like stress, motivation and the purpose of the handwriting. Despite the high variation in a person's handwriting, recent results from different writer identification studies have shown that it possesses sufficient individual traits to be used as an identification method. Handwriting as a behavioral biometric has had the interest of researchers for a long time. But recently it has been enjoying new interest due to an increased need and effort to deal with problems ranging from white-collar crime to terrorist threats. The identification of the writer based on a piece of handwriting is a challenging task for pattern recognition. The main objective of this thesis is to develop a text independent writer identification system for Malayalam Handwriting. The study also extends to developing a framework for online character recognition of Grantha script and Malayalam characters

A Hybrid Architecture for Recognising Speech Signals in Malayalam

Speech is the primary, most prominent and convenient means of communication in audible language. Through speech, people can express their thoughts, feelings or perceptions by the articulation of words. Human speech is a complex signal which is non stationary in nature. It consists of immensely rich information about the words spoken, accent, attitude of the speaker, expression, intention, sex, emotion as well as style. The main objective of Automatic Speech Recognition (ASR) is to identify whatever people speak by means of computer algorithms. This enables people to communicate with a computer in a natural spoken language. Automatic recognition of speech by machines has been one of the most exciting, significant and challenging areas of research in the field of signal processing over the past five to six decades. Despite the developments and intensive research done in this area, the performance of ASR is still lower than that of speech recognition by humans and is yet to achieve a completely reliable performance level. The main objective of this thesis is to develop an efficient speech recognition system for recognising speaker independent isolated words in Malayalam.