Informatics Publishing Limited

K. Balasubramanian ¹, P. Selvarajan ², E. Kumar ³

Affiliations
1 Department of Physics, The MDT Hindu College, Tirunelveli-627010, Tamilnadu, IN
2 Department of Physics, Aditanar College of Arts and Science, Tiruchendur-628216, Tamilnadu, IN
3 PRIST University, Thanjavur, Tamilnadu, IN

Abstract

Single crystals of Triglycine Sulfate (TGS) were grown in water and also were grown in water-soluble CdS nanoparticles dispersed in water by solution method with slow evaporation technique at room temperature. Watersoluble CdS nanoparticles were synthesized by microwave-assisted solution method using the precursors such as cadmium sulfate, thioglycolic acid and ethylene diamine and they were used for the growth of CdS-added TGS crystals. The grown crystals were characterized by XRD technique, UV-visible spectral studies, measurement of density, microhardness studies, atomic absorptions studies. The effect of Cd²⁺ ions on various properties of TGS crystals have been analyszed and reported.

Keywords

Crystal Growth, XRD, TGS Crystals, CdS Nanoparticles

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M. Muthuvijayalakshmi ¹, E. Kumar ², P. Venkatesan ¹

Affiliations
1 Department of Statistics, National Institute for Research in Tuberculosis, (ICMR), Chennai-31, IN
2 Department of Statistics, Presidency College, Chennai-5, IN

Abstract

The paper attempts to model a classification problem to examine the Sanchez’s approach for medical diagnosis by the use of a technique called Fuzzy Max-Min composition. Fuzzy logic is one of the best choice to model the relationship between a set of symptoms of a patient and a possible diagnosis. The basic premises of fuzzy logic system are presented and a detailed analysis of fuzzy logic system developed to solve a disease diagnosis problem. The utility of the model is illustrated using tuberculosis patients data from a controlled clinical trial.

Keywords

Classification, Max-Min Composition, Medical Diagnosis, Tuberculosis.

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