Single Process Architecture for E-Learning Over Cloud Computing

A Cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers. C loud Computing refers to both the applications delivered as services over the Internet and the hardware and systems software in the data centres that provide those services (Software as a Service - SaaS). The data center hardware and software is what we will call a Cloud. Fr om the studies of various research papers and works done by various researchers it has been found that the major areas of focus in the field of cloud computing are architecture definitions, security, integration of services on various layers, inclusion of Various network and communication devices being developed rapidly. E -Learning through cloud computing is a promising area for the ease of both faculties and students around the world. The work done in cloud computing based e-Learning is oriented on centralized server and further improvement in this can be done. I n this research, a new distributed architecture is being proposed to provide an opportunity to the learners around the world to use the resources being shared by the faculties and online communication between the faculties and students

Challenge Token Based Security for Hybrid Clouds

Cloud has now become the essential part of the web technology and fast growth of cloud computing technique making it worth for the companies to invest in cloud. Growth of number of clouds is requiring inter cloud communication as concept of multi cloud or hybrid cloud is also spreading quickly. With this fast growth, more and more challenges are arising in the field of cloud computing. Various researchers are focusing on cloud oriented challenges and lots of research works are going on in this field. With emergence of cloud computing, the term "Hybrid Topology" or "Hybrid Deployment" is becoming more and more common. A "Hybrid Cloud" is group of clouds you join different cloud deployments into one connected cluster. Another area of research is to focus on communication between a cloud and non cloud computing system. Hybrid Cloud computing mainly deals with working of data centers where different software are installed with huge of growing data to provide information to the users of the system. The techniques which can be used in hybrid cloud securities can be built around the encryption and decryption of data, key based security algorithms which are mainly oriented on authentication and authorization techniques as in wired and wireless networks. One such mechanism is to share the challenge text between the clouds before actual communication should start for authentication. The various works done in this area till date are oriented on other techniques of security between the two or more clouds in a hybrid cloud

Development and Validation of Spectrophotometric Method for the Estimation of Enoxaparin sodium in marketed formulation

Simple, cost effective, precise and accurate UV-Spectrophotometric method for estimation of Enoxaparin sodium was developed and validated as per ICH guidelines. This Method involves solving of calibration curve based on measurement of absorbance wavelengths 234nm in 0.1 N HCl. The method obeys the Beer’s law in the concentration ranges 100-500µg/ml. The developed method was validated according to ICH guidelines and values of accuracy, precision and other statistical analysis were found to be in good accordance with the prescribed values. % Recovery for both the drugs were in the range of 99.288 99.632% indicating excellent accuracy with percentage RSD Values less than 2. The method was precise, with a relative standard deviation of less than 2% for all tha validation parameters. Thus, method can be used for routine monitoring of drugs in industry for the assay of bulk drugs and commercials. Keywords: UV-Spectrophotometric, Enoxaparin sodium, Validation, ICH guideline

IMPROVEMENT IN OUTPUT POWER BY DESIGNING ADAPTIVE REFERENCE CONTROL FOR BOOST CONVERTER IN SOLAR SYSTEM

Maximum power point tracking (MPPT) techniques are used in photovoltaic (PV) systems to maximize the PV array output power by tracking continuously the maximum power point (MPP) which depends on panels temperature and on irradiance conditions. In this work we have made a comparison between P & O algorithm with proposed adaptive reference algorithm. It has been concluded that The power output with adaptive reference algorithm at the load terminal is coming to be 6.5 kilo Watts approximately where as with P & O it is calculated to be 1.5 kilo watts approximately. Hence it is a better proposed algorithm as compared to traditional P & O techniqu

E-Learning Improved Architecture for Clouds

E-Learning is spreading around the world with leaps and bounds with the growth of Internet. People are keen to get high skilled knowledge from the knowledge pros in the industry and a very new concept of cloud computing is also not unaffected with E-learning. With the intense penetration of the Internet in the life of mankind and fast acceptance of the cloud computing is making researchers to design the various architectures for the cloud applications in generalized manner and specific to the applications. E-learning facilitates the students, teachers, universities and educational service providers to get the services with all ease and 24x7 bases. In cloud computing we mean by a Cloud as a type of parallel and distributed system over the network and virtual machines which are managed for load balancing with high provision for security, and its services are offered to the customers using SLA (Service Level Agreement). Whereas, Cloud Computing includes both applications and hardwar

Application of HEC-HMS Model for Runoff Simulation

Hydrologic modelling involves formulating the mathematical models to represent the hydrologic processes such as, precipitation, snowmelt, interception, evapotranspiration, infiltration, sub-surface flow, and surface flow, as well as the interaction between them. Hydrologic modeling can be challenging because it involves highly nonlinear processes, complex interactions and high spatial variability’s at basin scale. Physically based hydrologic models are based on known scientific principles of energy and water fluxes whereas, conceptual models are based on conceptual storages and model parameters that require calibration, or they are moisture accounting models without explicitly considering energy fluxes, and so they mimic physical processes in a simplified manner. Focus on the physically based distributed hydrologic modelling started in order to minimize or overcome the deficiencies of the conceptual models. In physically based hydrologic modelling the hydrologic process of water movement are modeled either by the finite difference approximation of the partial differential equation representing the mass, momentum and energy balance or by empirical equations. Typically the primary components of hydrologic cycle related to the land phase are taken into consideration. These are: interception, snowmelt, evapotranspiration, sub-surface runoff, groundwater flow, surface runoff and channel routing. Physically based hydrologic models can be fully distributed where a river basin is discretized as a rectangular grid mesh, or be semi-distributed when the basin is divided into limited number of sub basins based on the terrain features and the drainage network. Study and simulation of a watershed has been done using HEC-HMS. The Silsako watershed located in Guwahati city has been modelled and the peak simulated discharge obtained at the outlet of the watershed is 6793815.6 m3