Node analysis of digital drapemeter

A digital drapemeter has been designed and developed for the node analysis of the varying commercial fabrics. The image analysis technique is used for the acquisition of the images and processed through the software. The separate graphical user interface is developed to display the values of DC% of the fabrics. The result confirms that there is a good and positive correlation between the newly designed drapemeter and the commercially available traditional drapemeter. Negative correlation has been found between the numbers of nodes and the drape coefficient of fabrics

Drape behaviour and shear properties of fabrics

The studies have been carried out using 15 fabric samples (linen, cotton, polyester-cotton blend, denim and corduroy) of varying areal density for investigating fabric shear properties at different angles. It is observed that there is a high correlation between the drape and the shear properties of the fabric at different shear angles.

Seroprevalence of HIV in pregnant women in North India: a tertiary care hospital based study

Abstract Background Estimating the seroprevalence of HIV in a low risk population such as pregnant women provides essential information for an effective implementation of AIDS control programmes, and also for the monitoring of HIV spread within a country. Very few studies are available from north India showing the current trend in HIV prevalence in the antenatal population;which led us to carry outthis study at a tertiary care hospital in north India Methods Blood samples from pregnant women attending antenatal clinics at the All India Institute of Medical Sciences, New Delhi were collected after informed consent and pre-test counseling. The samples were tested for HIV antibodies as per the WHO guidelines, over a period of four years from January 2003 to December 2006. Results Of the 3529 pregnant women tested in four years, 0.88% (CI 0.5 – 1.24) women were found to be HIV seroreactive. Majority of the seroreactive pregnant women (41.9%) were in the age group of 20–24 years followed by the 30–34 yrs (25.8%) and 25–29 years (22.6%) age group. The mean age of the HIV positive women was 24.9 years (SD ± 1.49 yrs). The HIV seroprevalence rates showed an increasing trend from 0.7% (CI 0.14 – 2.04) in 2003–2004 to 0.9% (CI 0.49 – 1.5) in 2005–2006. This prevalence rate indicates concern, as Delhi and its adjoining states are otherwise considered as 'low prevalence states'. Conclusion Seroprevalence of HIV infection was found to be increasing in the last four years amongst pregnant women of North India. These findings are in contrast to the national projections.</p

Drape behaviour and shear properties of fabrics

99-102The studies have been carried out using 15 fabric samples (linen, cotton, polyester-cotton blend, denim and corduroy) of varying areal density for investigating fabric shear properties at different angles. It is observed that there is a high correlation between the drape and the shear properties of the fabric at different shear angles

Node analysis of digital drapemeter

504-506A digital drapemeter has been designed and developed for the node analysis of the varying commercial fabrics. The image analysis technique is used for the acquisition of the images and processed through the software. The separate graphical user interface is developed to display the values of DC% of the fabrics. The result confirms that there is a good and positive correlation between the newly designed drapemeter and the commercially available traditional drapemeter. Negative correlation has been found between the numbers of nodes and the drape coefficient of fabrics

Fidoop – Fim: Data Segregation Using Frequent Item Sets Mining And Map Reduce Algorithm

Hadoop is an open-source platform of the MapReduce programming model. As data size is increasing gradually day by day, the improvement and security of data structure in Hadoop have become a critical issue. So far, algorithms have lacked of mechanisms like data distribution, fault tolerance, load balancing and input-output overhead. Hence, in order to overcome these discrepancies, the most effective the new method is the FiDoop method using a Map Reduce programming model and FIM algorithm. FiDoop includes the Frequent Item set Ulta metric Tree rather than conventional FP-trees which avoid the necessity to build conditional pattern based on compressed storage. In prior techniques such as pfp, Fidoop and Fidoop-HD the execution time was considerably increasing when the number of records increased. In our proposed system, firstly, the input/output overhead is minimized by scanning the database twice. Secondly, FIUT matric which is an outcome of clustering improves in the partitioning of database and significantly reduce the search space. Later MapReduce plays main act in parallel mining process; mappers separately decay item sets while its reducers make tiny ultra-metric trees to be individually mined. Finally, Fidoop - FIM based on FIM algorithm highly reduces the execution speed of downloading as the number of records increases in size