PERFORMANCE ANALYSIS OF WATERMARKING APPROACH FOR VLSI DESIGN INTELLECTUAL PROPERTY PROTECTION

VLSI technology brought revolution in EDA industry. Fabrication of complicated system on a chip is possible by using reusable module called Intellectual Property (IP) core. IP cores that became an integral part of the electronic design industry influenced and had a rather significant and almost incomparable impact with respect to system designing in any chip. IP designs for any organization are imperative; contrary, IP designs that are shared can significantly cause high security risks. The majority of IP’s require time as well as effort for purposes of designing and verification, however there still remains the possibility of these being copied or minor modifications to hide proof of ownership. To overcome this problem watermarking technique is recommended for IP Core protection. Watermark insertion in multilevel increases the security of the system. In this paper the ownership information is inserted in state transition outputs of State Transition Graph employing hierarchical representation of Finite state Machine (FSM) and subsequently in the netlist level by embedding watermark in the delay between the states. Watermark insertion at two levels increases the security of the design. Signature generation uses cryptographic algorithm for enhancing the security of the IP core designs. The experimental results show that performance is improved

Efficiency of gamma irradiation and ethyl methane sulphonate in inducing variations in Jasminum auriculatum Vahl.

Vegetatively propagated crops like Jasminum auriculatum have a constraint in genetic variation due to a narrow genetic base that restricts the insights in any crop breeding programme. Mutation breeding is a potential tool that directs a way to create desirable variation effectively in vegetatively propagated crops. The optimum dose of mutagen is the one which produces the maximum frequency of mutation in turn the variation, with minimum killing. The aim of the present paper unveils the Lethal Dose (LD50) and the growth reduction dose (GR50) for both Gamma irradiation (GI) and Ethyl methane sulphonate (EMS) for the ecotype ‘Muthu Mullai’ of Jasminum auriculatum. These parameters of GR and EMS treated cuttings were analysed by considering the GR50 values of the mortality rate (57%, 48%), survival percentage (12.479Gy, 13.268mM), shoot length (18.59Gy, 18.28mM), root length (20.39Gy, 18.17mM), number of leaves (22.29Gy, 17.47mM), number of sprouts (22.97Gy, 16.17mM), vigour index (10.43Gy, 11.05mM), leaf length (21.61Gy, 19.90mM) and leaf width (19.2Gy, 16.17mM). The LD50 value was 12.479 Gy for GI and 13.268 mM for EMS treatment. The GR50 for different growth parameters ranged from 14.93 to 22.9 Gy for GI and 1.05 to 19.9 mM for EMS treatment. The mutagenic efficiency and effectiveness were 214.96 and 89.36 for GI and 48.66 and 33.77 for EMS treatment, respectively. These doses can be used for generating considerable variation, which can be put to use in future crop improvement programmes for Jasmine

Effect of telmisartan in hypertensive patients with impaired fasting glycaemia

Background: Telmisartan, an angiotensin II receptor blocker, has a higher affinity for AT1 receptors. It has also been recognized as partial agonist of the nuclear hormone receptor PPAR-gamma. The present study is conducted to study the effect of Telmisartan in hypertensive patients with impaired fasting glycaemia.Methods: This is a prospective and randomised study done on 50 hypertensive patients with impaired fasting glycaemia. All the patients underwent following investigations like Fasting plasma glucose, blood pressure and body mass index were also measured.Results: Fasting plasma glucose, blood pressure (SBP, DBP) showed significant decrease after intake of 40 mg Telmisartan for three months. Changes in BMI are not significant.Conclusions: The present study shows that Telmisartan is effective in controlling blood-pressure by its AT1 receptor blocking activity. It is also effective in decreasing fasting blood glucose by its insulin sensitizing activity through partial peroxisome proliferator activated receptor (PPAR) gamma activity

Estimation of gillnet and hook selectivity for Carangoides fulvoguttatus (Forsskal, 1775) captured off Kanyakumari coast of India

Selectivity and fishing powers of multi-mesh gillnets with mesh sizes of 13.5, 14, 14.5 and 15 cm and hooks No. 5, 6, 7 and 8 were studied using the experimental catch data of the carangid Carangoides fulvoguttatus (Forsskal, 1775). The selectivity curves, parameters and residual plots for different models viz., normal scale, normal location, log-normal, gamma and bi-normal models were produced applying the SELECT (Share Each Length Class Total) methodology which has been incorporated in the software GILLNET (Generalised Including Log-Linear N Estimation Technique). The models were evaluated using the statistical tools viz., model deviance, dispersion parameter and residual plots to determine the best fit of the selectivity data. The uni-normal model, normal scale was found as best fit for the gillnet catch data while bi-normal was identified as suitable model for the hook catch data. The mesh size of 14.5 cm and hook No. 5 performed better than the other modeled meshes and hooks respectively. Gillnet selectivity data did not converge into bi-normal model due to single mode of capture. However, the hook catch data converged into bi-normal model with two modes of selection curve. Over dispersion was found common in catch data obtained from both gears due to larger size of fishes caught and demonstrated lack of fit in both selection data

DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering

A Bayesian Deep Restricted Boltzmann-Kohonen architecture for data clustering termed as DRBM-ClustNet is proposed. This core-clustering engine consists of a Deep Restricted Boltzmann Machine (DRBM) for processing unlabeled data by creating new features that are uncorrelated and have large variance with each other. Next, the number of clusters are predicted using the Bayesian Information Criterion (BIC), followed by a Kohonen Network-based clustering layer. The processing of unlabeled data is done in three stages for efficient clustering of the non-linearly separable datasets. In the first stage, DRBM performs non-linear feature extraction by capturing the highly complex data representation by projecting the feature vectors of $d$ dimensions into $n$ dimensions. Most clustering algorithms require the number of clusters to be decided a priori, hence here to automate the number of clusters in the second stage we use BIC. In the third stage, the number of clusters derived from BIC forms the input for the Kohonen network, which performs clustering of the feature-extracted data obtained from the DRBM. This method overcomes the general disadvantages of clustering algorithms like the prior specification of the number of clusters, convergence to local optima and poor clustering accuracy on non-linear datasets. In this research we use two synthetic datasets, fifteen benchmark datasets from the UCI Machine Learning repository, and four image datasets to analyze the DRBM-ClustNet. The proposed framework is evaluated based on clustering accuracy and ranked against other state-of-the-art clustering methods. The obtained results demonstrate that the DRBM-ClustNet outperforms state-of-the-art clustering algorithms.Comment: 14 pages, 7 figure

Bioinformatics Based: in Silico Docking Analysis of Polyherbal Formulation for The Management of Parkinson’s Disease (Nadukku Vatham)

Background: The discipline of Siddha medicine, particularly herbal formulations, can benefit greatly from the use of molecular docking because it enables the molecular interactions of the formulation’s lead molecules with receptors to be understood, as well as the inference of the formulation's basic biochemical targets.  Aim: The goal of this study is to carry out an In-silico computational analysis of the phytochemicals found in Kuruver Kudineer (KK), a traditional Siddha remedy that is used for managing behavioral deficit in Parkinsons disease.  Methodology: The ligand structures were developed and optimized using Auto Dock Tools (Morris, Goodsell et al., 1998). Using Auto dock Vina, the compounds were all docked. The function of the target protein Monoamine Oxidase -A (PDB 2Z5X), which is involved in the breakdown of the neurotransmitters by MAO-A, will be inhibited by the creation of a hydrogen bond between phytocomponents and the target's core amino acids (Tyr 69, Ile 335, Tyr 407, and Tyr 444). In order to control the dopamine level, phytocomponents that inhibit the target enzyme MAO-A may be used as potential targets. Results: The compounds present in Kuruver Kudineer (KK) like Gingerenone-A, Betulinic acid, Zingiberene, Rutin, Geniposide and β-sitosterol showed maximum interactions with MAO –A when compared to that of Clorgyline. According to the outcomes of the computational investigation, the bio-active substances present in the Siddha formulation Kuruver Kudineer (KK) have significant affinity to the target MAO-A (PDB 2Z5X). Conclusions: From the results of the present study, it was concluded that the MAO – A reveal significant effect to managing the behavioral deficit and thereby considered an excellent drug choice for the clinical management of Parkinson’s disease (Nadukku vatham

A new high yielding Spanish bunch groundnut variety CO 7 (ICGV 00351) for the drought prone areas of Tamil Nadu

A high yielding Spanish bunch groundnut culture ICGV 00351 (a cross derivative of ICGV 87290 X ICGV 87846) developed at ICRISAT (International Crops Research Institute for the Semi-Arid Tropics), Patancheru, Andhra Pradesh was evaluated along with six other promising varieties in drought prone areas of Tamil Nadu under Farmers’ Participatory Varietal Selection Trials. Culture ICGV 00351 recorded an overall mean dry pod yield of 2189 kg/ha under rainfed situation. This culture with duration of 105 to 110 days registered a pod yield increase of 17 and 26 per cent over the popular varieties of this region viz., VRI (Gn) 6 and TMV (Gn) 13 respectively. It has 71% shelling and 51 % oil and 22% protein content. This culture has also showed tolerance reaction to major foliar diseases viz., late leaf spot and rust. As this variety has improved pod yield along with consumer and trader preference, this culture ICGV 00351 has been released as CO 7 for cultivation in the entire state of Tamil Nadu