Light deflection by gravitational waves from localized sources

We study the deflection of light (and the redshift, or integrated time delay) caused by the time-dependent gravitational field generated by a localized material source lying close to the line of sight. Our calculation explicitly takes into account the full, near-zone, plus intermediate-zone, plus wave-zone, retarded gravitational field. Contrary to several recent claims in the literature, we find that the deflections due to both the wave-zone 1/r gravitational wave and the intermediate-zone 1/r^2 retarded fields vanish exactly. The leading total time-dependent deflection caused by a localized material source, such as a binary system, is proven to be given by the quasi-static, near-zone quadrupolar piece of the gravitational field, and therefore to fall off as the inverse cube of the impact parameter.Comment: 12 pages, REVTeX 3.0, no figur

Determinants of malnutrition among urban slum children in Bangladesh

Background: This paper analyzes the role of child, maternal and household variables on weight-for-age nutritional status of children in the largest urban slum of Bangladesh. Methods: We use anthropometric weight-for-age nutrition status of children for an ordered logistic analysis. Our dataset gives us the advantage of segregating health knowledge into three indices: health-seeking practices index, child health precautions index and medical cost knowledge index, which are used as covariates to understand the role of health knowledge towards child health. Gender specific regressions are also run to understand male and female children nutritional function differences. Results: Per capita income significantly improves child health but household assets do not, casting doubt on the robustness of permanent income. After controlling for health knowledge and health-seeking behavior, the remaining impact of maternal education on child health is no longer significant. Health knowledge indices significantly improve child health albeit differentially. While male children are more sensitive to "child health precautions" and "medical cost knowledge", female children are more sensitive to "health-seeking practices". Conclusion: Role of health knowledge on child health carries a significant portion of the education effect. Policy makers looking to improve the nutritional status of female children vis-a-vis male children in study area, should promote programs focusing on health-seeking practices

Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation

In this paper we study the problem of combining low-level visual features for semantic image annotation. The problem is tackled with a two different approaches that combines texture, color and shape features via a Bayesian network classifier. In first approach, vector concatenation has been applied to combine the three low-level visual features. All three descriptors are normalized and merged into a unique vector used with single classifier. In the second approach, the three types of visual features are combined in parallel scheme via three classifiers. Each type of descriptors is used separately with single classifier. The experimental results show that the semantic image annotation accuracy is higher when the second approach is used

New Approach for Detecting and Tracking a Moving Object

This article presents the implementation of a tracking system for a moving target using a fixed camera. The objective of this work is the ability to detect a moving object and locate their positions. In picture processing, tracking moving objects in a known or unknown environment is commonly studied. It is based on invariance properties of objects of interest. The invariance can affect the geometry of the scene or the objects. The proposed approach is composed of several steps; the first is the extraction of points of interest in the current image. Then, these points will be tracked in the following image by using techniques for calculating the optical flow. After this step, the static points will be removed to focus on moving objects, That is to say, there is only the characteristic points belonging to moving objects. Now, to detect moving targets using images of the video, the background is first extracted from the successive images. In our approach, a method of the average values of every pixel has been developed for modeling background. The last step which stays before switching to tracking moving object is the segmentation which allows identifying every moving object. And by using the characteristic points in the previous steps

Recognition of Tifinagh Characters using Self Organizing Map and Fuzzy k-Nearest Neighbor

In this paper we present a comparison between SOM (Self-Organization Map) neural network and Fuzzy Knearest Neighbor algorithms and their application to handwriting Tifinagh character recognition.The Box approach proposed in [1] is used for features extraction. Experimentation is carried out on a limited database of nearly 200 samples. The results showed that Fuzzy K-Nearest Neighbor had a very good performance

Preface

Computer Graphics, Imaging and Visualization (CGiV) combined are used in some form or shape in most application in this age. New applications show strong trends from graphics, imaging, and visualisation. There are exciting explorations of theories and applications to a wide range of disciplines including social media, geo-sociology, health, business, security and more. Statistical analysis of literature illustrates that the chasm between academia and industries is abridged as applications becoming more innovative and drives new research activities

Computer Graphics, Imaging & Visualization — New Techniques and Trends

Computer graphics, imaging and visualization (CGiV) combined are used in some form or shape in most applications in this age. New applications show strong trends from graphics, imaging, and visualization. There are exciting explorations of theories and applications to a wide range of disciplines including social media, geo-sociology, health, business, security and more. Statistical analysis of literature illustrates that the chasm between academia and industries is being abridged as applications become more innovative and drive new research activities. The collection in this volume has the latest contributions from scientists, artists, and users from a cross section of disciplines in the area of computer graphics, imaging, and visualization. Though the classification is somewhat difficult because of the overlapping nature of the subject, there are three themes of graphics, imaging and visualisation running through this book. Chapters contribute towards different new techniques, applications, and tools within the theme of the book. The book is designed to have the best possible utility for researchers, computer scientists, practicing engineers, and many others around the globe. It will also be equally and extremely useful for graduate students in the areas of computer science, engineering, and other computational science disciplines

Flowering pattern and reproductive efficiency in mungbean.

A large proportion of flowers abort during development due to vascular tissue limitation in the distal part of rachis resulting in lower yield in mungbean [Vigna radiata (L.) Wilczek]. Flowering pattern and its relationships with pod retention, reproductive efficiency and yields in 10 local mungbean genotypes were assessed at Mymensingh, Bangladesh in two consecutive years of 2006 and 2007. The number and pattern of flower production, pod retention and reproductive efficiency (RE, percent pod set to opened flowers) varied among the genotypes. Results revealed that the genotypes, which produced higher number of flowers within a shorter period (10-15 days) after commencement of flowering also produced higher yields, attributed from higher number of flowers and pods. In contrast, low yielding genotypes showed reverse trends. However, low yielding genotypes had higher RE than high yielding ones. It further revealed that the genotype with early-formed flowers had higher podset and retention capacity than later-formed ones. The implication of relationships between flower production and RE for mungbean seed yield is also discussed

Preface

Computer Graphics, Imaging and Visualization (CGiV) combined are used in some form or of the applications in this age and time. New applications show strong trends from graphics, imaging, and visualisation. There are exciting explorations of theories and applications to a wide range of disciplines including social media, geo-sociology, health, business, security and more. Statistical analysis of literature illustrates that the chasm between academia and industries is abridged as applications becoming more innovative and driving new research activities