FETAL CARDIAC STRUCTURE DETECTION FROM ULTRASOUND SEQUENCES

Fetal heart abnormalities are the most common congenital anomalies and are also the leading cause of infant mortality related to birth defects. More than one-third of all malformations found after delivery are congenital heart defects. The prenatal detection of fetal cardiac structure is difficult because of its small size and rapid movements but is important for the early and effective diagnosis of congenital cardiac defects. A novel method is proposed for the detection of fetal cardiac structure from ultrasound sequences. An initial pre-processing is done to remove noise and enhance the images. An effective K means clustering algorithm is applied to the images to segment the region of interest. Finally an active appearance model is proposed to detect the structure of fetal heart

Design and Implementation of Improved Electronic Load Controller for Self-Excited Induction Generator for Rural Electrification

This paper offers an alternative technique, namely, Improved Electronic Load Controller (IELC), which is proposal to improve power quality, maintaining voltage at frequency desired level for rural electrification. The design and development of IELC are considered as microhydroenergy system. The proposed work aims to concentrate on the new schemes for rural electrification with the help of different kinds of hybrid energy systems. The objective of the proposed scheme is to maintain the speed of generation against fluctuating rural demand. The Electronic Load Controller (ELC) is used to connect and disconnect the dump load during the operation of the system, and which absorbs the load when consumer are not in active will enhance the lifestyle of the rural population and improve the living standards. Hydroelectricity is a promising option for electrification of remote villages in India. The conventional methods are not suitable to act as standalone system. Hence, the designing of a proper ELC is essential. The improved electronic load control performance tested with simulation at validated through hardware setup

Background Subtraction Techniques for Human body segmentation in Indoor video surveillance

342-345Computer based automated monitoring and detection of human movements is an interesting and important research problem in the video based applications. The segmentation of human body plays a vital role in the analysis of human activities from the indoor video sequences. The threshold value which uses to separate the human body from the background of video frame. The aim of this paper is to develop an approach for segmenting the human body using background subtraction techniques. This proposed algorithm uses Automatic Threshold Update (ATU) and Discrete Wavelet Transform (DWT) approaches for extracting the human body. It is implemented and tested on uniform light and bright light videos. </span

Effect of heat removal on tubular solar desalting system

The technological process integration will influence directly on the energy efficient conversion with vital role on system productivity. In this work, an attempt was made to investigate on the performance of a compound parabolic concentrator-concentric tubular solar still (CPC-CTSS) coupled with a single slope solar still. A set of 2 m long concentric tubes with rectangular basins of the same length was fabricated (2 m2 area) and the entire experimental setup was operated with cold water flow over the inner tubes of the concentric arrangement. This pre-heated water was fed to a single slope solar still. The area of the single slope solar still was 0.25 m2 and the glass had an angle of 11° from the horizontal. It was clearly observed that the yield strongly depends on the evaporative heat transfer coefficient. It was concluded that, to increase the distillate augmentation to overnight, phase change material was additionally incorporated in the single slope solar still

Research Article Retinopathy of Prematurity Vessel and Ridge Parameters Measurement by Unsupervised Algorithm

Abstract: The Retinopathy of Prematurity (ROP) is an ocular pathological disorder of the retinal blood vessels in premature infants and low birth weight infants. It is essential that those caring for premature infants should know who is at risk of ROP and their severity stage. It is also important that when screening must begin and how often these infants need to be examined otherwise the progression lead most severe stage and can cause blindness. The contrast stretching method has been utilized to enhance the ROP color image. Then an automatic method Isotropic Un-decimated Wavelet Transform (IUWT) has been proposed to extract the abnormal retinal blood vessel and measure its width and tortuosity. The ridge formation of this pathological disorder has also been obtained by the IUWT. The quantitative measurements of mean diameter, standard deviation, tortuosity, length of retinal blood vessel and ridge have been considered and computed the exact severity stage of ROP. The effectiveness of the proposed method has been verified through machine vision techniques and the results obtained are encouraged by experts. Automatic ROP screening system comprises several advantages, like a substantial time reduction of ophthalmologists in diagnosis, a non ophthalmologist can provide stage of ROP, improving the sensitivity of the test and a better accuracy in diagnosis