SCREENING AND CHARACTERISTIC STUDY OF ANTIMICROBIAL ACTINOMYCETES FROM NEAR-BY SOIL OF MEDICINAL PLANTS

Objective: Isolation and characterization study of actinomycetes from soil near medicinal plants in saurashtra region of Gujarat which can produce antimicrobial compounds.Methods: Present study 11 different medicinal plants 3 regions of saurashtra selected. Microflora part of soil was used. Different media used for isolation. Microscopic methods used for Study of colony characteristics, arial and vegetative mycelium color and morphological examination of isolates. Primary screening was done by using cross streak method while for secondary screening well diffusion techniques with thin layer chromatography and bioautography. Antimicrobial activity of most potent isolates check against test organisms. Different biochemical methods used for characterization of the most active isolate.Results: It was found that out of 66 actinomycetes isolates 45 (68.2 %) actinomycetes isolates were showing activity against test microbes. In the primary screening, 15 actinomycets isolates showed good antimicrobial activity. Out of these 15 actinomycetes isolates 5 isolates GOS1, JOS1, GOS3, GTF1 and JTF1 showing a broad spectrum of activity against microorganisms. It was found that out of this 5 isolates GOS1 was most potent antagonistic actinomycetes. Characterizations, as well as optimization studies of actinomycetes, isolates GOS1 which may use to produce new and useful antimicrobial compounds and other metabolites.Conclusion: It was concluded that actinomycetes isolates from different soil samples nearby medicinal plant area of saurashtra region are a good source to produce many useful antimicrobial compounds and other metabolites

A Review on Facial Expression Recognition Techniques

Facial expression is in the topic of active research over the past few decades. Recognition and extracting various emotions and validating those emotions from the facial expression become very important in human computer interaction. Interpreting such human expression remains and much of the research is required about the way they relate to human affect. Apart from H-I interfaces other applications include awareness system, medical diagnosis, surveillance, law enforcement, automated tutoring system and many more. In the recent year different technique have been put forward for developing automated facial expression recognition system. This paper present quick survey on some of the facial expression recognition techniques. A comparative study is carried out using various feature extraction techniques. We define taxonomy of the field and cover all the steps from face detection to facial expression classification

A Survey on Human Activity Analysis Techniques

Human Activity Recognition(HAR) is Popular research topic in Computer vision and Image Processing area. This Paper Provide an exhaustive survey on the Entire Process of identify or Recognize Human activity. Basically, There are Four steps are involved in HAR process, which are Pre-processing, Feature extraction, Training, and Classification of different activities from video. The need of data preprocessing , and segmentation based on camera movements are presented. This paper provide detailed survey on different features for HAR, feature extraction and selection method , and Classification methods with advantages and disadvantages. Finally, A brief discussion about various classification techniques are presented

An Analysis of Facial Expression Recognition Techniques

In present era of technology , we need applications which could be easy to use and are user-friendly , that even people with specific disabilities use them easily. Facial Expression Recognition has vital role and challenges in communities of computer vision, pattern recognition which provide much more attention due to potential application in many areas such as human machine interaction, surveillance , robotics , driver safety, non- verbal communication, entertainment, health- care and psychology study. Facial Expression Recognition has major importance ration in face recognition for significant image applications understanding and analysis. There are many algorithms have been implemented on different static (uniform background, identical poses, similar illuminations ) and dynamic (position variation, partial occlusion orientation, varying lighting )conditions. In general way face expression recognition consist of three main steps first is face detection then feature Extraction and at last classification. In this survey paper we discussed different types of facial expression recognition techniques and various methods which is used by them and their performance measures

Significance of Peripheral Blood Smear in Diagnosis of Blood Parasitic Infection

Bancroftian filariasis is a tropical and subtropical disease caused by Wuchereria bancrofti and transmitted by the Culex mosquitoes. It is conventionally diagnosed made by demonstrating microfilariae in the peripheral blood smear. Microfilariae and adult filarial worm have been incidentally detected in the blood. We here report an unusual case of Bancroftian microfilariasis in a 28-year-old male coming from endemic area with history of fever since 1 month. Patient had history of yellowish discoloration of skin and sclera