Subba Rao

Bio: Subba Rao is an academic researcher from National Institute of Technology, Karnataka. The author has contributed to research in topics: Breakwater & Wave height. The author has an hindex of 11, co-authored 74 publications receiving 455 citations. Previous affiliations of Subba Rao include St. John's Medical College.

Particle Swarm Optimization based support vector machine for damage level prediction of non-reshaped berm breakwater

Abstract: Particle Swarm Optimization (PSO) is used to optimize the support vector machine (SVM).Models are trained on the data set obtained from experimental data.PSO-SVM with polynomial kernel function performs better than other kernel functions.Different soft computing models results are compared.PSO-SVM is computationally efficient as compared to ANFIS. The damage analysis of coastal structure is very much essential for better and safe design of the structure. In the past, several researchers have carried out physical model studies on non-reshaped berm breakwaters, but failed to give a simple mathematical model to predict damage level for non-reshaped berm breakwaters by considering all the boundary conditions. This is due to the complexity and non-linearity associated with design parameters and damage level determination of non-reshaped berm breakwater. Soft computing tools like Artificial Neural Network, Fuzzy Logic, Support Vector Machine (SVM), etc, are successfully used to solve complex problems. In the present study, SVM and hybrid of Particle Swarm Optimization (PSO) with SVM (PSO-SVM) are developed to predict damage level of non-reshaped berm breakwaters. Optimal kernel parameters of PSO-SVM are determined by PSO algorithm. Both the models are trained on the data set obtained from experiments carried out in Marine Structures Laboratory, Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, India. Results of both models are compared in terms of statistical measures, such as correlation coefficient, root mean square error and scatter index. The PSO-SVM model with polynomial kernel function outperformed other SVM models.

Random seas and design of maritime structures

Abstract: Evolution of Design Method Against Random Waves Statistical Properties and Spectral of Sea Waves Transformation and Deformation of Random Sea Waves Design of Breakwaters Design of Coastal Dikes and Seawalls Probabilistic Design of Harbor Facilities Harbor Tranquility and Vessel Mooring Hydraulic Model Tests with Random Waves Theoretical Description of Random Sea Waves Statistical Theory of Irregular Waves Techniques of Random Wave Analysis 2D Computation of Wave Transformation with Random Breaking and Nearshore Currents Statistical Analysis of Extreme Waves Prediction and Control of Beach Deformation Processes.

Impact of the baby-friendly hospital initiative on breastfeeding and child health outcomes: a systematic review.

Abstract: The Baby-friendly Hospital Initiative (BFHI) is a key component of the World Health Organization/United Nations Children's Fund Global Strategy for Infant and Young Child Feeding. The primary aim of this narrative systematic review was to examine the impact of BFHI implementation on breastfeeding and child health outcomes worldwide and in the United States. Experimental, quasi-experimental and observational studies were considered eligible for this review if they assessed breastfeeding outcomes and/or infant health outcomes for healthy, term infants born in a hospital or birthing center with full or partial implementation of BFHI steps. Of the 58 reports included in the systematic review, nine of them were published based on three randomized controlled trials, 19 followed quasi-experimental designs, 11 were prospective and 19 were cross-sectional or retrospective. Studies were conducted in 19 different countries located in South America, North America, Western Europe, Eastern Europe, South Asia, Eurasia and Sub-Saharan Africa. Adherence to the BFHI Ten Steps has a positive impact on short-term, medium-term and long-term breastfeeding (BF) outcomes. There is a dose-response relationship between the number of BFHI steps women are exposed to and the likelihood of improved BF outcomes (early BF initiation, exclusive breastfeeding (EBF) at hospital discharge, any BF and EBF duration). Community support (step 10) appears to be essential for sustaining breastfeeding impacts of BFHI in the longer term.

Wave energy device and breakwater integration: A review

Abstract: One of the most abundant energy sources exists in this world is the ocean wave energy. By far, it has shown to be the most clean, renewable, predicted energy and has raised the potential to compete with the current use of non-renewable energy sources. Recent research conducted on wave energy invention has opened a new dimension to slowly reduce the dependency on fossil fuel by introducing new technology on the renewable world but relatively lacking in economical aspect. This review brings the latest status on integration of wave energy device with other marine facilities, which is the breakwater structure that may possibly aid to cost sharing. Most researches done on this field highlighted countries experiencing rough sea condition and focused less on countries with medium wave condition as faced by the Asian continent. The potential for energy extraction and wave dissipation for medium wave condition will be discussed in this review by considering several aspects including reliability, effectiveness and performance. Finally, this review shows that the integration opens up a new dimension to acknowledge the technology harnessing ocean wave, especially for the Asian countries experiencing medium wave condition.