Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

A Secure Scheme for Image Transformation

Abstract: The dynamic growth in the field of Information communication has hiked the ease of Information transmission. But this type of real advancement in other sense has explored so many possibilities of information being snooped, at the time of communication in between the sender and the intended receiver. So, day by day Information Security is becoming an inseparable part of Computing and Communication. Various tools are available in order to address those issues and in them Steganography plays a significant role. In this paper, a heuristic approach for Information hiding in the form of multimedia objects or text using Steganography is proposed keeping in mind two considerations - Size and degree of security. Here, the Information is hidden behind an image in the form of an encoded matrix which is obtained from the bit matrix of the embedded object.

Discrete Fourier Transformation based Image Authentication technique

Abstract: In this paper a novel technique, Discrete Fourier Transformation based Image Authentication (DFTIAT) has been proposed to authenticate an image and with its own application one can also transmit secret message or image over the network. Instead of direct embedding a message or image within the source image, choosing a window of size 2 × 2 of the source image in sliding window manner then convert it from spatial domain to frequency domain using Discrete Fourier Transform (DFT). The bits of the authenticating message or image are then embedded at LSB within the real part of the transformed image. Inverse DFT is performed for the transformation from frequency domain to spatial domain as final step of encoding. Decoding is done through the reverse procedure. The experimental results have been discussed and compared with the existing steganography algorithm S-Tools. Histogram analysis and Chi-Square test of source image with embedded image shows the better results in comparison with the S-Tools.

Aquaculture effluent treatment with ammonia remover Bacillus albus (ASSF01)

Abstract: Ammonia toxicity in water bodies is a global problem. Different approaches have been adopted to get the ammonia concentration in water back to permitted level (0.5 mg L−1 for aquaculture and 5 mg L−1 for environmental discharge). The existing techniques are elaborate and time consuming, often not economically viable. This study reports a single unit packed bed biofilm reactor-based treatment of Aquaculture Effluent (AE) and non-AE using a pure culture of Bacillus albus ASSF01 from environmental origin as inoculum. The strain could reduce an initial ammonia concentration of 1.7 mg L−1 to 4.7 mg L−1 to a final ammonia concentration of 0.5 mg L−1 within 12–16 h while that of 27 mg L−1, 47 mg L−1 and 100 mg L−1 to 5 mg L−1 within 42 h, 48 h, and 98 h under immobilized condition respectively. Upon scaling up the operation to 9.5 L at ambient temperature, the strain could maintain its efficiency along with simultaneous reduction of nitrite from 0.30 mg L−1 to the accepted level of 0.01 mg L−1. The parameters optimized during batch mode operation using Response surface methodology were also applicable for continuous mode operation. The isolate under immobilized condition could remove ammonia at a concentration of 7.92 mg kg−1 of matrix from Luria Bertani broth while 41.6 mg kg−1 of matrix from minimal medium indicating it to be suitable for environmental application. This study reports a rapid, single unit bacterial biofilm based stable continuous mode treatment strategy for ammonia removal from effluent ensuring environmental protection.

Teleportation via a mixture of a two qubit subsystem of a N-qubit W and GHZ state

Abstract: In this work we study a state which is a random mixture of a two qubit subsystem of a N-qubit W state and GHZ state. We analyze several possibilities like separability criterion (Peres-Horodecki criterion [M. Horodecki, P. Horodecki, R. Horodecki, Phys. Lett. A 223, 1 (1996); A. Peres, Phys. Rev. Lett. 77, 1413 (1996)]), non violation of Bell’s inequality [J.F. Clauser, M.A. Horne, A. Shimony, R.A. Holt, Phys. Rev. Lett. 23, 80 (1969)] (M(ρ)<1) and teleportation fidelity [N. Gisin, Phys. Lett. A 210, 157 (1996); R. Horodecki, P. Horodecki, M. Horodecki, Phys. Lett. A 200, 340 (1995); S. Massar, S. Popescu, Phys. Rev. Lett. 74, 1259 (1995); S. Popescu, Phys. Rev. Lett. 72, 797 (1994); C.H. Bennett, G. Brassard, C. Crepeau, R. Jozsa, A. Peres, W.K. Wootters, Phys. Rev. Lett. 70, 1895 (1993)] $(F_{max}>\frac{2}{3})$ for this state. We also obtain a relationship between N (number of qubits) and p (the classical probability of random mixture) for each of these possibilities. Finally we present a detailed analysis of all these possibilities for N=3,4,5 qubit systems. We also report that for N=3 and $p\in(0.75,1]$ , this entangled state can be used as a teleportation channel without violating Bell’s inequality.

Metabolic modeling for multi-objective optimization of ethanol production in a Synechocystis mutant

Abstract: Cyanobacteria have potential to produce drop-in bio-fuels such as ethanol via photoautotrophic metabolism. Although model cyanobacterial strains have been engineered to produce such products, systematic metabolic engineering studies to identify optimal strains for the same have not been performed. In this work, we identify optimal ethanol producing mutants corresponding to appropriate gene deletions that result in a suitable redirection in the carbon flux. In particular, we systematically simulate exhaustive single and double gene deletions considering a genome scale metabolic model of a mutant strain of the unicellular cyanobacterium Synechocystis species strain PCC 6803. Various optimization based metabolic modeling techniques, such as flux balance analysis (FBA), method of minimization of metabolic adjustment (MOMA) and regulatory on/off minimization (ROOM) were used for this analysis. For single gene deletion MOMA simulations, the Pareto front with biomass and ethanol fluxes as the two objectives to be maximized was obtained and analyzed. Points on the Pareto front represent maximal utilization of resources constrained by substrate uptake thereby representing an optimal trade-off between the two fluxes. Pareto analysis was also performed for double gene deletion MOMA and single and double gene deletion ROOM simulations. Based on these analyses, two mutants, with combined gene deletions in ethanol and purine metabolism pathways, were identified as promising candidates for ethanol production. The relevant genes were adk, pta and ackA. An ethanol productivity of approximately 0.15 mmol/(gDW h) was predicted for these mutants which appears to be reasonable based on experimentally reported values in literature for other strains.