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Kiran Kumar, V.
- Providing Efficient INS for Corporate Networks
Abstract Views :380 |
PDF Views:177
Authors
Affiliations
1 Dept. of ISE, SJBIT, Bangalore, IN
1 Dept. of ISE, SJBIT, Bangalore, IN
Source
Adarsh Journal of Information Technology, Vol 4, No 1 (2016), Pagination: 1-9Abstract
Security continues to be an issue for organizations. Good information security is a mix of physical security, computer security, network security, backups, anti-virus software, firewalls, authentication methods, intrusion detection, confidentiality, integrity, availability, etc., Risk is the combination of threat and vulnerability. This paper deals with Information security in particular and concentrates on corporate networks. Threats without vulnerabilities pose no risk. Likewise, vulnerabilities without threats pose no risk. A secure system should still permit authorized users to carry out legitimate and useful tasks. It might be possible to secure a computer system against misuse using extreme measures. Most computer systems cannot be made secure even after the application of extensive "computer security" measures. Further more, if they are secure then functionality and ease of use often decreases. The assurance of security depends not only on the soundness of the design strategy, but also on the assurance of correctness of the implementation. There is no universal standard notion of what secure behavior is. "Security" is a concept that is unique to each situation. One technique enforces the principle of least privilege to great extent is even if an attacker gains access to one part of the system, fine-grained security ensures that it is just as difficult for them to access the rest. Further more, by breaking the system up into smaller components; the complexity of individual components is reduced. Most of the time people concentrate on coming out with efficient algorithms to analyze, process data. But not much importance is given to ensure data integrity, security, privacy, etc.References
- Eric Maiwald, “Fundamentals of Network Security”, Dreamtech New Delhi 2004. Pp.4-29, 46-59, 178-189
- William Stallings, “Cryptography and Network Security principles and practices”, second edition, Delhi, 2002 pp.4-11
- Roberta Bragg, Mark Rhodes-ousley, Keith Strassberg, “Network security”, TataMc-GrawHill, New Delhi, 2004, pp.9-14
- William Stallings, “Network Security essentials applications and standards”, Pearson Education, Delhi, pp.101-172
- S. Babu, L. Subramanian and j. Windom, “A data stream Management system for network traffic Management”, proc. Workshop Network Related data management 2001.
- A. Feldman, A. Greenberg, C. Lund, N.Reingold, J. Rexford, and F. True, “Deriving traffic demands for operational IP Networks:Methodology and Experience”, IEEE/ACM Trans. Networking, 2001, pp.265-279
- Douglas E. Comer, “Internetworking with TCP/IP Principles, protocols, and Architectures”, Volume1, Pearson, New Delhi, 2006, pp.1-9
- Steven Alter, “Information systems The Foundation of EBusiness”, Fourth edition, Pearson Education, New Delhi. Pp.543559
- Modelling of E-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data, G Sangeetha, LM Rao -International Journal of Electrical and Computer Engineering (IJECE), 2016
- ‘Sustaining value maximization in entrepreneurship through ethics’ published in AJMR-Refereed International Journal of management, September-2008
- A Survey on Blind Super Resolution of Real-Life Video Sequences
Abstract Views :270 |
PDF Views:7
Authors
Affiliations
1 Malla Reddy College of Engineering & Technology, Secunderabad, Telangana, IN
2 ECE Department, Malla Reddy College of Engineering & Technology, Hyderabad, Telangana, IN
1 Malla Reddy College of Engineering & Technology, Secunderabad, Telangana, IN
2 ECE Department, Malla Reddy College of Engineering & Technology, Hyderabad, Telangana, IN
Source
International Journal of Research in Signal Processing, Computing & Communication System Design, Vol 3, No 2 (2017), Pagination: 11-14Abstract
Super Resolution (SR) for real-life video sequences is a challenging problem due to complex nature of the motion fields. In this paper, a novel blind SR method is proposed to improve the spatial resolution of video sequences, while the overall pointspread function of the imaging system, motion fields, and noise statistics are unknown. To estimate the blur(s), first, a nonuniform interpolation SR method is utilized to upsample the frames, and then, the blur(s) is(are) estimated through a multiscale process. The blur estimation process is initially performed on a few emphasized edges and gradually on more edges as the iterations continue. Also for faster convergence, the blur is estimated in the filter domain rather than the pixel domain. The high-resolution frames are estimated using a cost function that has the fidelity and regularization terms of type Huber-Markov random field to preserve edges and fine details. The fidelity term is adaptively weighted at each iteration using a masking operation to suppress artifacts due to inaccurate motions. Very promising results are obtained for real-life videos containing detailed structures, complex motions, fast-moving objects, deformable regions, or severe brightness changes. The proposed method outperforms the state of the art in all performed experiments through both subjective and objective evaluations.Keywords
Blind Estimation, Blur Deconvolution, Huber Markov Random Field (HMRF), Video Super Resolution.References
- E. Faramarzi, V. R. Bhakta, D. Rajan, and M. P. Christensen, “Super resolution results in PANOPTES, an adaptive multi-aperture folded architecture,” In Proc. 17th IEEE Int. Conf. Image Process. (ICIP), pp. 2833-2836, Sep. 2010.
- E. Faramarzi, D. Rajan, and M. P. Christensen, “Unified blind method for multi-image super-resolution and single/multi-image blur deconvolution,” IEEE Trans. Image Process., vol. 22, no. 6, pp. 2101-2114, Jun. 2013.
- S. Borman, and R. L. Stevenson, “Spatial resolution enhancement of lowresolution image sequences: A comprehensive review with directions for future research,” Dept. Elect. Eng., Univ. Notre Dame, Notre Dame, IN, USA, Tech. Rep., Jul. 1998.
- S. Borman, and R. L. Stevenson, “Super-resolution from image sequences: A review,” In Proc. Midwest Symp. Circuits Syst., Notre Dame, IN, USA, pp. 374-378, Aug. 1998.
- S. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction: A technical overview,” IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21-36, May 2003.
- R. R. Schultz, L. Meng, and R. L. Stevenson, “Subpixel motion estimation for super-resolution image sequence enhancement,” Journal of Visual Communication and Image Representation, vol. 9, no. 1, pp. 38-50, Mar. 1998.
- A. M. Tekalp, “Digital video processing,” Englewood Cliffs, NJ, USA: Prentice-Hall: Signal Processing Series 1995.
- Y. Caspi, and M. Irani, “Spatio-temporal alignment of sequences,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 11, pp. 1409-1424, Nov. 2002.
- O. Shahar, A. Faktor, and M. Irani, “Space-time super-resolution from a single video,” In Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 3353-3360, Jun. 2011.
- V. Cheung, B. J. Frey, and N. Jojic, “Video epitomes,” International Journal of Computer Vision, vol. 76, no. 2, pp. 141-152, 2008.
- R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman, “Removing camera shake from a single photograph,” ACM Trans. Graph., vol. 25, no. 3, pp. 787-794, 2006.
- Q. Shan, J. Jia, and A. Agarwala, “High-quality motion deblurring from a single image,” ACM Trans. Graph., vol. 27, no. 3, p. 73, 2008.
- S. Cho, and S. Lee, “Fast motion deblurring,” ACM Transactions on Graphics, Art. ID 145, vol. 28, no. 5, 2009.
- L. Xu, and J. Jia, “Two-phase kernel estimation for robust motion deblurring,” In Proc. 11th Eur. Conf. Comput. Vis., pp. 157-170, 2010.
- T. F. Chan, and C.-K. Wong, “Total variation blind deconvolution,” IEEE Transactions on Image Processing, vol. 7, no. 3, pp. 370-375, Mar. 1998.
- The Estimation of Irinotecan HCl in Parenterals by RP-HPLC
Abstract Views :182 |
PDF Views:0
Authors
V. Kiran Kumar
1,
N. Appala Raju
2,
Namratha Rani
2,
J. V. L. N. Seshagiri Rao
3,
T. Satyanarayana
2
Affiliations
1 Dept. of Pharma. Chem., Sree Chaitanya Institute of Pharmaceutical Sciences, LMD Colony, Karimnagar-505527, A.P., IN
2 Dept. of Pharma. Chem., Sultan-Ul-Uloom College of Pharmacy, Mount Pleasant, Road#3, Banjara Hills, Hyderabad-500034, IN
3 University College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, A.P., IN
1 Dept. of Pharma. Chem., Sree Chaitanya Institute of Pharmaceutical Sciences, LMD Colony, Karimnagar-505527, A.P., IN
2 Dept. of Pharma. Chem., Sultan-Ul-Uloom College of Pharmacy, Mount Pleasant, Road#3, Banjara Hills, Hyderabad-500034, IN
3 University College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, A.P., IN
Source
Asian Journal of Research in Chemistry, Vol 2, No 1 (2009), Pagination: 54-56Abstract
A simple, precise, rapid and accurate reverse phase HPLC method developed for the estimation of Irinotecan HCl in tablet dosage form. A X-Terra RP C18, 250×4.6 mm i.d, 5 μm partical size, with mobile phase consisting of Methanol and 0.01 M Ammonium Acetate containing 0.1% formic acid and methanol in the ratio of 50:50 v/v was used. The flow rate was 1 ml/min and the effluents were monitored at 250 nm. The retention time was 4.69 min. The detector response was linear in the concentration of 120-360 mcg/ml. The respective linear regression equation being Y=166582.24x+86439.5. The limit of detection and limit of quantification was 0.06 and 0.18 mcg/ml respectively. The percentage assay of Irinotecan HCl was 99.09%. The method was validated by determining its accuracy, precision and system suitability. The results of the study showed that the proposed RP-HPLC method is simple, rapid, precise and accurate, which is useful for the routine determination of Irinotecan HCl in bulk drug and in its pharmaceutical dosage form.Keywords
Irinotecan HCl, RP-HPLC, Estimation, and Tablets.- The Estimation of Paclitaxel in Parenterals by RP-HPLC
Abstract Views :160 |
PDF Views:0
Authors
V. Kiran Kumar
1,
N. Appala Raju
2,
Namratha Rani
2,
J. V. L. N. Seshagiri Rao
3,
T. Satyanarayana
2
Affiliations
1 Dept. of Pharma. Chem., Sree Chaitanya Institute of Pharmaceutical Sciences, LMD Colony, Karimnagar-505527, AP, IN
2 Dept. of Pharma. Chem., Sultan-Ul-Uloom College of Pharmacy, Mount Pleasant, Road 3, Banjara Hills, Hyderabad-500034, IN
3 University College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, AP, IN
1 Dept. of Pharma. Chem., Sree Chaitanya Institute of Pharmaceutical Sciences, LMD Colony, Karimnagar-505527, AP, IN
2 Dept. of Pharma. Chem., Sultan-Ul-Uloom College of Pharmacy, Mount Pleasant, Road 3, Banjara Hills, Hyderabad-500034, IN
3 University College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, AP, IN