Anupama*1 and O. P. Gupta2
In this paper, we present the network load balancing to optimize the network interfaces that are present in the cluster. We know, everything belongs to internet now a days. With the increase in the popularity of the web, network traffic increases and need for fast access to the internet is also on demand. For smooth services, redundancy of the servers is required. As a result, load balancing has become a very critical job. A single server is not able handle all the traffic which results into a server crash. Network is divided into different paths on which the transmission of packets is done. They are distributed on all the interfaces simultaneously. We investigate the performance of per-packet load balancing in different servers. Simulation results reveal that it is always beneficial to use load balancing and backup of other servers are always present in case of any failure in network.
Application of Multi-Angle Imaging Spectro Radiometer in Agricultural in Middle Gujarat for Wheat Crop
H. K. AHIR and B. M. Mote
The present analysis was carried out using the satellite image from the Multi-angle Imaging Spectro Radiometer (MISR) was acquired over Middle Gujarat on 9 and 18 February 2015. The MISR is one of the five instruments on board the EOS/ Terra spacecraft. The Rahaman-Pinty-Verstraete inversion and Forward semi-empirical three parameters leaf reflectance shape (rho0), the curve convexity (k) and the dominant forward scattering (Ɵ) model were used to simulate angular patterns of BRF for wheat on 18 February 2015. The potential of the RPV model to represent the BRF of leaves in the 400-1100 nm spectral range was investigated in this study. The results revealed that the variety of tests are shown in order to document and analyse software performance against simulated BRF fields by RPV anis view model as well as against actual MISR-derived satellite BRF was blue, green and red good match with each but mismatched with NIR and all MISR band blue, green and red and NIR for mature wheat.
Fdi (Foreign Direct Investment) in India ; the Major Monetary Source for Economic Development With Special Emphasis on Computer Sector
Foreign direct investment (FDI) is an investment in a business by an investor from another country for which the foreign investor has control over the company purchased. The need for foreign capital for a developing country like India could arise on account of the following reasons reasons. Foreign capital is usually essential atleast as temporary measure during the period of development. Foreign capital usually brings with it with other scarce productive factors like technical know how. Domestic capital is inadequate for purpose of the economic growth and it is necessary to invite foreign capital as per the requirement. At many times, domestic capital and entrepreneurship may not flow into certain lines of production. Foreign capital can show the way for domestic capital. There can be potential savings in a developing economy like India but this may come forward only at a higher level of economic activity. Therefore it is necessary that foreign capital should help in speeding up economic activity in the initial phase of development.
Shathaghazal and Raina Salkhlailah
Moodle(Electronic learning system ) is a learning platform designed to provide educators, administrators and learners with a single robust, secure and integrated system to create personalized learning environments. You can download the software onto web server .
Ujwal Singh Vohra, ShriPrakash Dwivedi and H. L. Mandoria
Day by day the researchers are trying to make such characters recognition system that can be able to detect the writing and languages of individuals, for this multilingual handwritten characters recognition is such system that playing a vital role for recognizing the characters written in different languages and in different styles. The research work presented in this thesis aims to do the study and analysis to recognize the multilingual handwritten characters with a high level of accuracy and for this purpose the classifier that we are using is support vector machine. Here in this work we have used the languages like Hindi and English and along with this we have taken special characters and numerals and tried to recognize them with our system.