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Search Results: 1 - 10 of 147381 matches for " Phani Rama Krishna B. "
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In silico identification of potential therapeutic targets in Clostridium botulinum by the approach subtractive genomics
Koteswara Reddy G.,Nagamalleswara Rao K.,Phani Rama Krishna B.,Aravind S.
International Journal of Bioinformatics Research , 2010,
Abstract: The completion of genome sequences of pathogenic bacteria and the completion of humangenome project has provided lot amount of data that can be utilized to design vaccines and drug targets.One of the recently adopting strategies for drug designing is based on comparative genomics approach,in which the subtraction dataset between the host and the pathogen genome provides information for aset of genes that are likely to be essential to the pathogen but absent in the host. This approach hasbeen used to identify vaccine and drug targets of Pseudomonas aeruginosa and Helicobacter pylori. Wehave used the same approach to identify the vaccine and drug targets of Clostridium botulinum F strain.Our analysis has revealed that out of 3631 coding sequences of the pathogen, 446 represent essentialgenes that have no human homolog. We have further analyzed these 446 genes by the proteinsequence database to list some 96 genes whose products are possibly exposed on the pathogensurface. This preliminary work reported here identifies a small subset of the Clostridium botulinum Fstrain proteome that might be investigated further for identifying potential drug and vaccine targets inthis pathogen.
Design and analysis of 32-bit RISC Processor based on MIPS
Rama Krishna,,B.Venu Gopal
International Journal of Innovative Technology and Exploring Engineering , 2012,
Abstract: In this paper, we have studied Microcomputer with out interlocked pipeline stages instruction format instruction data path decoder module function and design theory basend on RISC CPUT instruction set. We have also designed instruction fetch(IF) module of 32-bit CPU based on RISC CPU instruction set. Function of IF module mainly includes fetch instruction and latch module address arithmetic module check validity of instruction module synchronous control module. Function of IF modules are implemented by pipeline and simulated successfully on Xilinx Spartan 3E fpga device Xc3s200..
Shades of FDI Capital, Business Group Affiliation and Excess Value Creation  [PDF]
? Kunal, B. V. Phani
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.815216
Abstract: This research work is focused on effect of business group affiliation on firm with different shades of FDI capital such as technology, capital and competitiveness defined on the basis of FDI policy tools designed by Indian policy makers. The analysis reveals negative effect of business group affiliation on excess value created by firm using competitiveness shaded FDI capital. This empirical evidence supports that tunneling effect of business group affiliation is highly significant in a firm with competitiveness shaded FDI capital. Once, profitability, asset utilization and growth opportunity is controlled, the tunneling effect of business group affiliation becomes highly significant in firm irrespective of the shades of FDI capital. This is in support of study reported by Bertrand et al. (2002) claiming that tunneling effect is part of non-operating profit. There is strong evidence that FDI investors’ fund is expropriated by domestic business group when host economy has sufficient capital and technology and foreign investor is intending to create excess value on account of their higher efficiency.
A Novel Encryption System using Layered Cellular Automata
M Phani Krishna Kishore,S Kanthi Kiran,B Bangaru Bhavya,S Harsha Chaitanya S
Lecture Notes in Engineering and Computer Science , 2011,
Abstract:
Performance Comparison between Nonidentical Segmented Exponential Concave and Nonidentical Segmented Exponential Convex Serrated CATRs
T. Venkata Rama Krishna,P. Siddaiah,B. Prabhakara Rao
International Journal of Antennas and Propagation , 2008, DOI: 10.1155/2008/756060
Abstract: This paper presented a theoretical and numerical assessment for nonidentical segmented exponential- (NISE-) convex and NISE-concave serrated plane CATRs by changing number of serrations. The investigation was based on diffraction theory and, more specifically, on the diffraction formulation of Fresnel. The compact antenna test range (CATR) provides uniform illumination within the Fresnel region to the test antenna. Application of serrated edges has been shown to be a good method to control diffraction at the edges of the reflectors. In this paper, the Fresnel fields of NISE-convex and NISE-concave serrated CATRs are analyzed using physical optics (PO) technique. The PO analysis is applied in this paper for plane reflector serrated CATR only. The same analysis is applied to any type of reflector. In this paper, lens-based reflector is not considered. It is observed that NISE-concave serrated CATR gives less ripple and enhanced quiet zone width than NISE-convex.
FAULT REMOVAL EFFICIENCY IN SOFTWARE RELIABILITY GROWTH MODEL
Purnaiah B., Rama Krishna V. and Bala Venkata Kishore G.
Advances in Computational Research , 2012,
Abstract: Software Reliability is defined as the probability of free-failure operation for a specified period of time in a specified environment. Software Reliability Growth models (SRGM) have been developed to estimate software reliability measures such as number of remaining faults, software failure rate and Software Reliability. Imperfect debugging models are considered in these models. However, most SRGM assume that faults will eventually be removed. Fault removal efficiency in the existing models is limited. This paper aims to incorporate the fault removal efficiency in software reliability growth modeling. In this paper imperfect debugging is considered in the sense that new faults can be introduced into the software during debugging and the detected faults may not be removed completely.
CLASSIFICATION OF BOUNDARY AND REGION SHAPES USING HU-MOMENT INVARIANTS
B.Vanajakshi,Dr. K.Sri Rama Krishna
Indian Journal of Computer Science and Engineering , 2012,
Abstract: This paper attempts to introduce the concept of moment invariance into the classification algorithm based on the morphological boundary extraction and generalized skeleton transform, and tries to propose a new method about shape classification in this field. Firstly, the method extracts boundary of the object, secondly, skeleton using mainskeleton extraction algorithm based on visual important parts, and then improves Hu moment which is traditionally used to region while in this paper is extended to calculate the invariants of the skeleton. The present paper describes respective theories and application of the method from four aspects, including the boundary extraction, skeleton extraction, calculation of moment invariance and classification algorithm.
A Novel Approach for Hybrid of Adaptive Amplitude Non-Linear Gradient Decent (AANGD) and Complex Least Mean Square (CLMS) Algorithms for Smart Antennas
Y. Rama Krishna,P.V. Subbaiah,B. Prabhakara Rao
International Journal of Wireless & Mobile Networks , 2013,
Abstract: An adaptive beam former is a device, which is able to steer and modifies an array's beam pattern in orderto enhance the reception of a desired signal, while simultaneously suppressing interfering signals throughcomplex weight selection. However, the weight selection is a critical task to get the low Side Lobe Level(SLL) and Low Beam Width. One needs to have a low SLL and low beam width to reduce the antenna'senergy radiation/reception ability in unintended directions. The weights can be chosen to minimize theSLL and to place nulls at certain angles. The convergence of the array output towards desired signal isalso very important for a good signal processing tool of an adaptive beam former. A vast number ofpossible window functions are available to calculate the weights for Smart Antennas. From the analysisof many of these algorithms, it is observed that there is a compromise between HPBW and SLL. But incase of smart antennas, both of these parameters must have low values to get good performance. In ourearlier work it is proposed that Complex Least Mean Square (CLMS) and Augmented Complex LeastMean Square ( ACLMS) algorithms gives low beam width and side lobe level in noisy environment.Another neural algorithm Adaptive Amplitude Non Linear Gradient Decent algorithm (AANGD) has theadvantage of more number of control parameters over CLMS and ACLMS algorithms. In this paper thehybrid of CLMS and AANGD is presented and this novel hybrid algorithm has outperformed the hybridalgorithm of CLMS and ACLMS in the aspect of convergence towards the desired signal.
Self-organized Detection of Relationships in a Network
P.Lokesh Kumar Reddy,B.Rama Bhupal Reddy,S.Rama Krishna
International Journal of Information Technology and Computer Science , 2013,
Abstract: Multistate operations within a network result in high-dimensional, multivariate temporal data, and are useful for systems, which monitor access to network entities like resources, objects, etc. Efficient self organization of such multistate network operations stored in databases with respect to relationships amongst users or between a user and a data object is an important and a challenging problem. In this work, a layer is proposed where discovered relationship patterns amongst users are classified as clusters. This information along with attributes of involved users is used to monitor and extract existing and growing relationships. The correlation is used to help generate alerts in advance due to internal user-object interactions or collaboration of internal as well as external entities. Using an experimental setup, the evolving relationships are monitored, and clustered in the database.
A New Transmission Control Protocol for Satellite Networks
P.Lokesh Kumar Reddy,B.Rama Bhupal Reddy,S.Rama Krishna
International Journal of Intelligent Systems and Applications , 2012,
Abstract: According to technical statistics, current TCP protocols with approximately 80% Internet applications run on perform very well on wired networks. However, due to the effects of long propagation delay, great band- width asymmetry, high sporadic Bit Error Rate (BER) and etc., TCP performance degrades obviously on the satellite communication networks. To avoid the problems, TP-S, a novel transport control protocol, is introduced for satellite IP networks. Firstly, in order to increase the increment speed of Congestion Window (cwnd) at the beginning of data transmission, the traditional Slow Start strategy is replaced by a new strategy, known as Super Start. Secondly, a new packet lost discriminated scheme based on IP packets alternately sending with different priority is used in the protocol to decouple congestion decision from errors. Thirdly, bandwidth asymmetry problem is avoided by adopting Modified NACK (M-NACK) in receiving ends, which is sent periodically. In addition, the sending strategy in routers is also modified along with other’s changes to support the protocol. Finally, the simulation experiments show that the new protocol can not only significantly enhance throughput performance, but also reduce sharply bandwidth used in the reverse path as compared with traditional TCP protocols and those protocols, which are recently proposed for satellite IP networks.
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