An Approach for Trusted Computing of Load Balancing in Cloud Environment
Authors: Manoj Kumar Selkare, Vimal Shukla
Abstract: Cloud computing is a novel approach in order to use the resource of computing where these resources may be hardware or software. This facility is delivered as a service in the communication network. This facility known as cloud, which occurred from the use of a service as a cloud, which is an abstraction for the complex infrastructure system containing diagrams. Services of cloud computing involve trusted remote user data, and computer software. This paper proposed to an approach to efficient load balancing in cloud computing
Low Power Three Input XOR Gate For Arithmetic And Logical Operation
Authors:Ms. Pooja Sahu, Mr. Ashish Raghuwanshi
Abstract: With advancement of microelectronics technology scaling, the main objective of design i.e. low power consumption can be easily acquired. For any digital logic design the power consumption depends on; Supply voltage, number of transistors incorporated in circuit and scaling ratios of the same. As CMOS technology supports inversion logic designs; NAND & NOR structures are useful for converting any logic equation into physical level design that comprises of PMOS and NMOS transistors. In similar way, logic can be implemented in other styles as well, with the difference in number of transistors required. The conventional CMOS design for three input XOR logic can be possible with 10 or more than 10 transistors, with the methodology discussed in this paper, the same design for three inputs XOR logic can be made possible with 16 transistors. The proposed methodology consists of transmission gate and systematic cell design methodology (SCDM). This design consumes 45% (35%) less power dissipation than that of conventional LPHS-FA and SCDM based XO10 XOR logic design with CMOS technology. Since the design for XOR logic, is useful for variety of applications such as Data encryption, Arithmetic circuits, Binary to Gray encoding etc. the XOR logic has been selected for design. The design explained in this paper is simulated with 130nm technology.
Low Read Power Delay Product Based Differential Eight Transistor SRAM cell
Authors: Ms. Jaya Sahu,Mr. Ashish Raghuwanshi
Abstract: SRAM is designed to provide an temporary storage for Central Processing Unit and replace Dynamic systems that require very low power consumption. Low power SRAM design is critical aspect since it takes a large fraction of total power and die area in high performance processors. This paper include the work on eight transistor SRAM cell that of smaller read power delay product due to cascading of pull offers 28% (74%) smaller read ‘0’ (‘1’) than exiting 7T. The SRAM cell read and cycle is characterized at 45nm technology using SPICE EDA tool.
A Robust Classification Algorithm for Multiple Type of Dataset
Authors:M.Tech. Scholar Afshan Idrees, Prof. Avinash Sharma
Abstract: With the increase in different internet services number of users are also increasing. Although while taking service user may be on risk for sharing data. So this work focus on increasing the security of the user data while taking classification service. Here algorithm provide robustness by encrypting the data and send to server, while server classify the data in encrypted form. One more security issue is that instead of transferring whole encrypted data, features are extract from the data first then encrypt and send to server for classification. Here proposed work successfully classify all type of user data in form of text, image, numeric.
An Unsupervised TLBO Based Drought Prediction By Utilizing Various Features
Authors:M.Tech. Scholar Shikha Ranjan Patel, Prof. Priyanka Verma
Abstract: Agricultural vulnerability is generally referred to as the degree to which agricultural systems are likely to experience harm due to a stress. In this work, an existing analytical method to quantify vulnerability was adopted to assess the magnitude as well as the spatial pattern of agricultural vulnerability to varying drought conditions. Based on the standardized precipitation index (SPI) was used as a measure of drought severity. A number of features including normalized difference vegetation index (NDVI), vegetation condition index (VCI), and SPI will be use for classification. Here proposed modal use Teacher Learning Based Optimization genetic approach for classify the different location present in geospatial dataset. By use of this TLBO approach prior knowledge is not required. Experiment results shows that proposed work is better as compare to previous work.