Radiation and Chemical Reaction Effects on Unsteady MHD Free Convective Periodic Heat Transport Modeling In a Saturated Porous Medium for Arotating System

A rotating model is extended for a two-dimensional, unsteady, incompressible electrically conducting, laminar immediate convection boundary layer flow of light and mass communicate in a saturated porous crystal ball gazer, among an overall vertical porous surface in the perseverance of radiation and vicious circle effects was considered. The fundamental equations governing the flow are in the art an element of partial differential equations and have been reduced to a inhere of non-linear ordinary differential equations by applying suitable similarity transformations. The problem is tackled analytically using classical two term perturbation technique. Pertinent results with respect to embedded parameters are displayed through graphically for the velocity, Temperature, concentration, skin friction, Sherwood number, Nusselt number are discussed qualitatively

A Hybrid of Improved Bulls and Weighted Round Robin to optimize the Leader and Load Balancing in Cloud and Distributed Computing Environment

Day by Day there is increase of internet users which leads to increase the traffic in the network which causing the generation of huge data. It requires the balancing of network load on the network servers with different Load balancing techniques. It is also required to have efficient algorithm to analysis the huge data in distributed manner to identify the leader to act as centralized point of contact for services. If we audit on the heap adjusting systems, there are a few potential outcomes to upgrade the methods. In the present scenario, we have the methods, round robin algorithm (static load adjusting), Weighted Round Robin algorithm and Least Load algorithm (Dynamic Load Balancing). A researcher D. Chitra Devi .et .al has given the idea of enhanced weighted round robin algorithm (EWRR) which gives much better reaction when contrasted with basic round robin calculation. Another scholar Rashmi Saini et. al recommended the half breed of round robin calculation and minimum Load Algorithm. From the above scholars� articles, I hereby propose a resolution by improved Bulls algorithm along with Weighted Round Robin (WRR) algorithm to achieve high performance in Distributed and Cloud Computing domain in terms of leader election from a group of distributed and non-failed processes, load balancing dynamically and coordinate other nodes. Bulls algorithm uses the following message types: � Election Message: Sent to announce election. � Answer (Alive) Message: Responds to the Election message. � Coordinator (Victory) Message: Sent by winner of the election to announce victory. When coordinator fails to recover a process P, from failure or detecting before failure, the process P performs the following actions: 1. If P has the highest process id, it sends a Victory message to all other processes and becomes the new Coordinator. Otherwise, P broadcasts an Election message to all other processes with higher process IDs than itself. 2. If P does not receive any Election message, then it broadcasts a Victory message to all other processes and becomes the Coordinator. 3. If P receives an Answer from a process with a higher ID, it sends no further messages for this election and waits for a Victory message. When there is no Victory message after a stipulated period, it restarts the process from the beginning. 4. If P receives an Election message from another process with a lower ID it sends an Answer message back and starts the election process at the beginning, by sending an Election message to higher-numbered processes. 5. If P receives a Coordinator message, it treats the sender as the coordinator

Implementing Mathematical Morphology Techniques to Detect Cracks in Underground Pipeline Images Automatically

An oil pipe buried under needs to be checked for their current quality before oil transportation takes place through it. The method involved for all these days were manual usin

A Review on Optimizing Radial Basis Function Neural Network using Nature Inspired Algorithm

Radial Basis Function (RBF) is a type of feed forward neural network .This function can be applied to interpolation, chaotic time-series modeling, control engineering, image restoration, data fusion etc. In RBF network, parameters of basis functions (such as width, the position and number of centers) in the nonlinear hidden layer have great influence on the performance of the network. Common RBF training algorithms cannot possibly find the global optima of nonlinear parameters in the hidden layer, and often have too many hidden units to reach certain approximation abilities, which will lead to too large a scale for the network and decline of generalization ability. Also, RBF neural network has the advantages of adaptive and self-learning ability, but it is difficult to determine the number of hidden layer neurons, and the weights learning ability from hidden layer to the output layer is low; these deficiencies easily lead to decreasing learning ability and recognition precision. Secondly, the Swarm Intelligence Algorithms are (Meta-Heuristic) development Algorithms, which attracted much attention and appeared its ability in the last ten years within many applications such as data mining, scheduling, improve the performance of artificial neural networks (ANN) and classification. So, in this paper the work of Artificial Bee Colony (ABC), Genetic algorithm(GA), Particle swarm optimization(PSO) and Bat algorithm(BA) have been reviewed, which optimized the RBF neural network in their own terms

Resource Management in Fog Networking of Cloud Computing using KNN Algorithm

It is necessary to deploy any application in Cloud environment to reduce the investment cost, maintenance cost and licence of hardware/software. Keeping these benefits, it is advised to go for cloud computing environment for any application deployment. The major challenge in this environment is fault tolerance of resources to support for continuous availability of resources to client for working. Especially in IoT applications, we use Fog networking connecting to cloud computing. In this scenario, it is advised to use KNN (K- Nearest Neighbour) resource identification and allocation algorithm to increase the throughput to user requirement. We are presenting an approach to allocate the required resources with optimal distance resource allocation, so as to improve the throughput of user requirement

New record of Sphenopid Zoanthid species Palythoa tuberculosa (Esper, 1805) from Gulf of Mannar, India

347-350Coral reefs provide a suitable habitat for many marine flora and fauna. Zoanthid is one of the most common inhabitants in coral reef habitats. A sub-massive colony of Sphenopid Zoanthid species Palythoa tuberculosa belonging to the order Zoantharia was documented for the first time from Gulf of Mannar (GoM) during an intensive coral reef monitoring survey conducted in Manoli, Manoliputti and Shingle Island. Photographic evidence of the colony along with its morphological characteristics are described in the present study

New record of Sphenopid Zoanthid species Palythoa tuberculosa (Esper, 1805) from Gulf of Mannar, India

Coral reefs provide a suitable habitat for many marine flora and fauna. Zoanthid is one of the most common inhabitants in coral reef habitats. A sub-massive colony of Sphenopid Zoanthid species Palythoa tuberculosa belonging to the order Zoantharia was documented for the first time from Gulf of Mannar (GoM) during an intensive coral reef monitoring survey conducted in Manoli, Manoliputti and Shingle Island. Photographic evidence of the colony along with its morphological characteristics are described in the present study

A red alga Portieria hornemannii (Lyngb.) P. C. Silva 1987 (Gigartinales, Rhizophyllidaceae): A source of fragrance ingredient for perfume industry

898-902The application of marine plants such as seagrasses, seaweeds and mangroves for the production of perfumes are relatively less familiar to perfume industry. In the present study, a red seaweed Portieria hornemannii showing strong fragrance, collected from coral reefs of Gulf of Mannar, southeast coast of Tamil Nadu, India is proposed as a potential source of fragrance for perfumes. This species has a distinctive essence of perfume like flowery scents and can give off pleasant fragrance immediately after rubbing or rupture. Gas Chromatography and Mass Spectrometry analysis of methanol extracts of P. Hornemannii revealed the presence of chemical components N'-(3-Phenyl-2-Propenylidene)-2-(4-Chlorophenoxy) acethydrazide and 4, 5-Dichlorotricyclo [4.4.0.0(2,8)] dec-3-ene

Occurrence of a Scyphozoan jellyfish, Pelagia noctiluca (Forskål, 1775) bloom in the Gulf of Mannar Marine National Park, Southern India

161-164A massive Scyphozoan jellyfish bloom has been encountered in branching coral, Acropora dominated reef area in the southern part of Hare Island of Gulf of Mannar region, Tamil Nadu. The live specimens were identified as Pelagia noctiluca (Forskål, 1775), adding a new occurrence record to the Gulf of Mannar biodiversity. A sudden outburst of P. noctiluca bloom represented thousands of live specimens (> 100/m2 approximately) in the south side of Hare Island

Crustose coralline algae (Corallinales, Rhodophyta) diversity in the Gulf of Mannar marine national park, Southern India

241-245Rhodoliths are the prominent global reef builders, providing a hard calcium carbonate substrate to develop coral polyps and several marine algae. Studies on rhodoliths in the Gulf of Mannar Biosphere Reserve are very scarce. The present study investigated the various forms of crustose coralline algae inhabiting coral reefs in three islands of the Gulf of Mannar Biosphere Reserve. Eleven coralline algal genera with various morphological forms such as encrusting, fruticose, layered, lumpy, and warty were recorded. Further, the study infers that molecular assessment of the biodiversity of these rhodoliths is required to discriminate morphological similarities and confirm the species identity