Proxy Blind Signature using Hyperelliptic Curve Cryptography

Blind signature is the concept to ensure anonymity of e-coins. Untracebility and unlinkability are two main properties of real coins and should also be mimicked electronically. A user has to fulll above two properties of blind signature for permission to spend an e-coin. During the last few years, asymmetric cryptosystems based on curve based cryptographiy have become very popular, especially for embedded applications. Elliptic curves(EC) are a special case of hyperelliptic curves (HEC). HEC operand size is only a fraction of the EC operand size. HEC cryptography needs a group order of size at least 2160. In particular, for a curve of genus two eld Fq with p 280 is needeed. Therefore, the eld arithmetic has to be performed using 80-bit long operands. Which is much better than the RSA using 1024 bit key length. The hyperelliptic curve is best suited for the resource constraint environments. It uses lesser key and provides more secure transmisstion of data

INTELLIGENT VEHICLE PARKING USING FUZZY-NEURAL NETWORKS

This paper analyzes the performance and practical implementation of fuzzy-neural networks for the autonomous motion of mobile robots. The designed fuzzy-neural controller is a refined version of a conventional fuzzy controller, and was trained to optimize a given cost function minimizing positioning error. It was found that the mobile robot with fuzzyneural controller presents good positioning and tracking performance for different types of desired trajectories. It was verified by computer simulation as well as experimentally using a laboratory-scale car-like robot model

Utilisation of antimicrobial agents in intensive care unit at a tertiary care teaching hospital in eastern India

Background: Antimicrobial agents (AMAs) are the most frequently used drugs in the intensive care units (ICU) and regular auditing can prevent the development of resistance to AMAs, reduce the cost and incidence of adverse drug reactions. The present study was conducted to assess the drug utilisation pattern by measuring the defined daily dose (DDD) per 100 bed days for the AMAs used and their correlation with the APACHE score II.Methods: This was a prospective observational study, conducted in the Central ICU of SCB Medical College and Hospital, Cuttack, Odisha for 4 months. Data regarding demographic profile, diagnosis, APACHE II score, microbiologic investigation, length of stay, outcome and utilisation pattern of AMAs assessing anatomic therapeutic chemical (ATC) classification and measuring the antimicrobial consumption index (ACI) equal to DDD per 100 bed days were collected and subjected to descriptive analysis. Multinomial logistic regression model was used to predict probabilities of different possible outcomes of categorically distributed variables and independent variables.Results: Mean age of study population was 44.70±14.814 with male and female ratio of 1.63:1. Septicaemia was the most common cause of admission. AMAs were prescribed to 92.66% of patients during their stay which constitutes 37.32% of the total drugs used. The DDD per 100 bed days for the AMAs were 118.59 and ceftriaxone was found to be most frequently used. Patients having higher APACHE II score received more no of AMAs (4.20±1.30). Patients having low APACHE II Scores received less number of antibiotics as compared to patients having higher score.Conclusions: AMAs were prescribed to 92.66% patients in the central ICU and there is significant relation between the APACHE II score and number of AMAs prescribed