IMPLEMENTING SHA-224/256 ALGORITHM FOR SECURE COMMITMENT SCHEME APPLICATIONS USING FPGA

This paper uses the similarity between SHA-224 and SHA-256 algorithms to design the SHA-224/256 IP core oriented Digital Signature. The IP core uses parallel structure and pipeline technology to simplify the hardware design and improve the speed by 26%. Finally this IP core is implemented on the Altera’s FPGA EP2C20F484C6 chip. And its simulation result can run rightly under the 100MHz frequency. This IP core can be widely used in the data integrity and consistency verification, pseudo random number generation and other areas of cryptography

Outage Probability of Multiple-Input Single-Output (MISO) Systems with Delayed Feedback

We investigate the effect of feedback delay on the outage probability of multiple-input single-output (MISO) fading channels. Channel state information at the transmitter (CSIT) is a delayed version of the channel state information available at the receiver (CSIR). We consider two cases of CSIR: (a) perfect CSIR and (b) CSI estimated at the receiver using training symbols. With perfect CSIR, under a short-term power constraint, we determine: (a) the outage probability for beamforming with imperfect CSIT (BF-IC) analytically, and (b) the optimal spatial power allocation (OSPA) scheme that minimizes outage numerically. Results show that, for delayed CSIT, BF-IC is close to optimal for low SNR and uniform spatial power allocation (USPA) is close to optimal at high SNR. Similarly, under a long-term power constraint, we show that BF-IC is close to optimal for low SNR and USPA is close to optimal at high SNR. With imperfect CSIR, we obtain an upper bound on the outage probability with USPA and BF-IC. Results show that the loss in performance due to imperfection in CSIR is not significant, if the training power is chosen appropriately.Comment: Submitted to IEEE Transactions on Communications Jan 2007, Revised Jun 2007, Revised Nov 200

Privacy Preserving Access Control Policies Using Two Level Encryption In Public Cloud

With many features of cloud computing, many organizations have been considering moving their information systems to the cloud storage. Cloud storage is a service model, in which data is stored, maintained, managed and backup remotely, And made available to the users over the network. However, an important problem in public cloud is preserving confidentiality of stored data from both unauthorized access and the storage provider i.e. cloud. So, in order to make confidentiality the data owners first encrypts the file before uploading them on the cloud storage, and re-encrypting whenever user credentials change .That thus incur high communication and computational cost. We propose an approach based on two level encryption. Under such approach the data owner performs coarse grained encryption before uploading to the cloud server, and then cloud performs complete access control policy encryption on top of the encrypted data by the owner. Our system handles both confidentiality of data and preserves privacy of users from unsecured cloud

Structure based de novo design of IspD inhibitors as anti-tubercular agents

Tuberculosis is one of the leading contagious diseases, caused by Mycobacterium tuberculosis. Despite improvements in anti-tubercular agents, it remains one of the most prevalent infectious diseases worldwide, responsible for a total of 1.6 million deaths annually. The emergence of multidrug resistant strains highlighted the need of discovering novel drug targets for the development of anti-tubercular agents. 2-C-methyl-D-erythritol-4-phosphate cytidyltransferase (IspD) is an enzyme involved in MEP pathway for isoprenoid biosynthesis, which is considered an attractive target for the discovery of novel antibiotics for its essentiality in bacteria and absence in mammals. In the present study, we have employed structure based drug design approach to develop novel and potent inhibitors for IspD receptor. To explore binding affinity and hydrogen bond interaction between the ligand and active site of IspD receptor, docking studies were performed. ADMET and synthetic accessibility filters were used to screen designed molecules. Finally, ten compounds were selected and subsequently submitted for the synthesis and in vitro studies as IspD inhibitors

Object Detection using Deep Learning with Hierarchical Multi Swarm Optimization

Till now there is a huge research had in the field of visual information retrieval, but with the growth of data and with less processing speed we are not meeting the needs of current problem. The main focus of this paper is to identify the objects with salient features and object highlighting. Till now object identification is done with the pixel based or with the region based. Different methodologies are compared in this work and they will be processed with the learning work. Multi scale contrast is one of the pixel based technology where object borders are identified but not the object. This can be done with the histogram contrast. Still it is not covering all the features of the object and it is not clear in identifying the objects at high contrast regions. To solve this issue region based contrasting method is used which is the better solution for all this object identification. After extracting the features and identifying the object, now auto classification or identification of the object should be done. The other part of the work mainly concentrates on the learning system which uses most popular neural network algorithms. Identifying the drawbacks of neural network algorithms and proposing the new methodology identify the objects is done in this paper

A Four Slot Dual Feed and Dual Band Reconfigurable Antenna for Fixed Satellite Service Applications

A dual feed and dual-band reconfigurable antenna is designed, analyzed, and prototyped in this work for fixed satellite service communication applications. The designed model occupies the compact dimension of 24X21X1.2 mm on FR4 substrate and provides an input impedance of 50 ohms at both ports. The proposed model offers additional circular polarization characteristics at both the resonating bands. The PIN diode-based switching conditions, and the frequency reconfigurability analysis in both simulation and measurement are almost match. The combination of dual-band resonance, frequency reconfigurable nature, and compact dimension makes this model an attractive candidate in the specified field with considerable gain (8.5 dB) and efficiency (80%)

MHD Flow of Tangent Hyperbolic Nanofluid over an Inclined Sheet with Effects of Thermal Radiation and Heat Source/Sink

This article presents the effect of thermal radiation on MHD boundary layer flow of tangent hyperbolic fluid with nanoparticles past an inclined stretching sheet with heat source/sink and convective boundary condition. Condition of zero normal flux of nanoparticles at the wall is used for the concentration boundary condition, which is the current topic that have yet to be studied extensively. The partial differential systems are reduced to ordinary differential systems by using appropriate similarity transformations. The reduced systems are solved numerically by Runge-Kutta fourth order method with shooting technique. The velocity, temperature and nanoparticle volume fraction profiles are discussed for different physical parameters. As well as the Skin friction coefficient, Nusselt number and Sherwood numbers have discussed in detail and presented through graphically. It is found that the thermal radiation enhances the effective thermal diffusivity and the temperature rises. It is also observed that the buoyancy parameter strengthens the velocity field, showing a decreasing behavior of temperature and nanoparticle volume fraction profiles

The Influence of Thermal Radiation on MHD Tangent Hyperbolic Fluid Flow with Zero Normal Flux of Nanoparticles over an Exponential Stretching Sheet

This article presents the two-dimensional MHD flow of tangent hyperbolic fluid with zero normal flux of nano-particles over an exponentially stretching sheet in presence of thermal radiation. The governing system of non-linear partial differential equations along with boundary conditions for this fluid flow is converted into a system of non-linear ordinary differential equations by using appropriate similarity transformations. The reduced system is numerically solved by Runge-Kutta fourth order method with shooting technique. The effects of emerging non-dimensional parameters on velocity, temperature and nanoparticle volume fraction profiles have been discussed and presented graphically. Furthermore, the impacts of these parameters on skin friction coefficient and local Nusselt number at the sheet are exhibited and discussed. Noticed that the thermal boundary layer thickness enhanced with the increase in Weissenberg number, power-law index and radiation parameter whereas the velocity profiles and the skin friction coefficient decreases with an increase in Weissenberg number and power-law index

Technical report : issues and strategies of e-learning

An effective e-learning system involves a systematic process of planning, design, development, evaluation, and implementation of a meaningful learning environment where learning is fostered and supported. While there still exists some uncertainty about its role in education and professional training, there is a growing concern about the issues and strategies of e-learning that may be faced by both providers and learners of e-learning in future. This technical report addresses some of the main issues and strategies that are currently encountered in e-learning

Issues in e-learning standards

This paper will discuss the role of e-learning standards for implementing e-learning applications. We briefly define and describe the issues related to e-learning standards to improve performance and availability of elearning content. We also describe the characteristics of standards important for maintaining high quality elearning contents. The various standards are analyzed and the degree of synergy between different standards organizations is identified. We discuss the life cycle for e-learning standards, and the main types of standards to enable the interchange of components in a learning system. The Malaysian experience is presented as a case study