Studies on the planktonic copepods calanoida scolecithricidae of the Indian Ocean

The main purpose of the Study is to outline the main distributional features of the species of the calonoid copepod family seolecithricidae in the Indian Ocean Expedition collections and to distinguish and describe their niches. In the present thesis 27 species belonging to 7 genera were identified of which 2 were new records from the Indian Ocean and one was described as a new species. In addition to the general treatment of the taxonomy, zoogeography and species diversity in relation to various environmental parameters are also attempted

Studies on The Copepod Fish Parasites of Kerala Coast

The present study of the parasitic copepods gives an account of the taxonomic description of seventy seven species of parasites collected from the food fishes of the Kerala coast. Out of the seventy seven species described, fourteen are new to science, two new records for the Indian waters and ten new host records. The males of Parapetalus longipinnatus Rangnekar and Lerna~thropus indicus Pillai were collected and described for the first time. The parasites described belong to the suborders Cyclopoida, Caligoida and Lernaeopodoida. The available description of many species of this locality is reviewed and supplemented with the help of the present detailed study. The general observations made during this study reveale certain interesting aspects of the host parasite relationship, host specificity, adaptive modification and geographical distribution. A brief discussion of these observations made is also presented.

Towards the development of a new wavelet for ECG classification

In this paper an attempt has been made to determine the number of Premature Ventricular Contraction (PVC) cycles accurately from a given Electrocardiogram (ECG) using a wavelet constructed from multiple Gaussian functions. It is difficult to assess the ECGs of patients who are continuously monitored over a long period of time. Hence the proposed method of classification will be helpful to doctors to determine the severity of PVC in a patient. Principal Component Analysis (PCA) and a simple classifier have been used in addition to the specially developed wavelet transform. The proposed wavelet has been designed using multiple Gaussian functions which when summed up looks similar to that of a normal ECG. The number of Gaussians used depends on the number of peaks present in a normal ECG. The developed wavelet satisfied all the properties of a traditional continuous wavelet. The new wavelet was optimized using genetic algorithm (GA). ECG records from Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) database have been used for validation. Out of the 8694 ECG cycles used for evaluation, the classification algorithm responded with an accuracy of 97.77%. In order to compare the performance of the new wavelet, classification was also performed using the standard wavelets like morlet, meyer, bior3.9, db5, db3, sym3 and haar. The new wavelet outperforms the rest