Modelling and control of chaotic processes through their Bifurcation Diagrams generated with the help of Recurrent Neural Network models: Part 1—simulation studies

Many real-world processes tend to be chaotic and also do not lead to satisfactory analytical modelling. It has been shown here that for such chaotic processes represented through short chaotic noisy time-series, a multi-input and multi-output recurrent neural networks model can be built which is capable of capturing the process trends and predicting the future values from any given starting condition. It is further shown that this capability can be achieved by the Recurrent Neural Network model when it is trained to very low value of mean squared error. Such a model can then be used for constructing the Bifurcation Diagram of the process leading to determination of desirable operating conditions. Further, this multi-input and multi-output model makes the process accessible for control using open-loop/closed-loop approaches or bifurcation control etc. All these studies have been carried out using a low dimensional discrete chaotic system of Hénon Map as a representative of some real-world processes

Some recent developments on complex multivariate distributions

AbstractIn this paper, the author gives a review of the literature on complex multivariate distributions. Some new results on these distributions are also given. Finally, the author discusses the applications of the complex multivariate distributions in the area of the inference on multiple time series

Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence

The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system. A small change in the properties of the charge composition may lead to entirely different outcome of the process. The newly emerging paradigm of soft-computing or Hybrid Computational Intelligence Systems approach which is based on neural networks, fuzzy sets, genetic algorithms and chaos theory has been applied to tackle this problem In this framework first a feed-forward neuro-model has been developed based on the data collected from a working Submerged Arc Furnace (SAF). Then the process is analysed for the existence of the chaos with the chaos theory (calculating indices like embedding dimension, Lyapunov exponent etc). After that an effort is made to evolve a fuzzy logic controller for the dynamical process using combination of genetic algorithms and the neural networks based forward model to predict the system’s behaviour or conditions in advance and to further suggest modifications to be made to achieve the desired results

National and international agricultural research and rural poverty: the case of rice research in India and China

The study attempts to measure the total benefits from rice varietal improvement research in China and India using variety adoption and performance data over the last two decades. It then uses genetic or pedigree information to partition the total benefits between these two countries and IRRI. Finally, the study uses reported elasticity of poverty reduction with respect to agricultural output growth to assess the effects of national and international research on poverty reduction in rural India and China. The results indicate that rice varietal improvement research has contributed tremendously to increase in rice production, accounting for 14-23 percent of total production value over the last two decades in both countries. Rice research has also helped reduce large numbers of rural poor. IRRI played a crucial role in these successes. In 1999, for every $1 million invested at IRRI, more than 800 and 15,000 rural poor were lifted above the poverty line in China and India, respectively. These poverty-reduction effects were even larger in the earlier years." Authors' AbstractRice Asia., Rice Research., Rice Varieties., Rice Yields., Poverty alleviation., genetically modified organisms,

THE CONCEPT OF STANYA APANAYANA (WEANING)

The gradual replacement of breast milk and supplement of nutrients that is complimentary food is weaning. In Ayurveda it was explained under Stanya Apanayana concept. The World Health Organization defines complementary food as any food whether manufactured or locally prepared, suitable as a complement to breast milk or to infant formula, when either of them become insufficient to satisfy then nutritional requirements of the infant. Such food is also commonly called complimentary food. Breast feeding alone is sufficient for first six months of life, thereafter complementary foods are essential in order to maintain an adequate growth and development of the infant.The process of weaning and time period of weaning, role of weaning in growth and development of infant is explained in detail by Ayurvedic scholars as a concept of Stanya Apanayana. As per Ayurveda, stanya Apanayana is the process through which infant gradually changes from dependency of breast milk or formula to independence of it and starting solid foods. Supplementary feed of fruits is first described by Kashyapa at 6th month of life. No other author has described Phalaprasa. First cereal feed described in 6th month of age by Sushrutha and Vagbhbata. Cereal feed is prescribed at 10th month by Kashyapa -Dantha jatha i.e., after teeth eruption. Vagbhata accepted this opinion of Annaprasana after eruption of teeth but during 6th month of age.The cereals form the important part of diet in India. They form an important source of energy, carbohydrates, proteins, iron and also supply certain amount of fat. Hence the preparation with Shashtika Shali (a variety of rice which is harvested in 60 days) and other Dravyas such as Godhuma (wheat), Yava (barley) are best as complimentary food (along breast milk) explained in Kashyapa Samhitha

Photocatalytic degradation of p-amino-azo-benzene and p-hydroxy-azo-benzene using various heat treated TiO2 as the photocatalyst

The photocatalytic degradation of azo dyes in aqueous suspensions of TiO2 is comparatively a good method for the removal of these impurities. The extent of degradation is followed by UV-visible and IR spectroscopy. The degradation process is performed with various heat treated TiO2, in which anatase form of TiO2 exhibited marked photocatalytic activity

Limiting behavior of the eigenvalues of a multivariate F matrix

AbstractThe spectral distribution of a central multivariate F matrix is shown to tend to a limit distribution in probability under certain conditions as the number of variables and the degrees of freedom tend to infinity