Jawaharlal Nehru Technological University, Hyderabad

About: Jawaharlal Nehru Technological University, Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 3956 authors who have published 5277 publications receiving 48435 citations. The organization is also known as: JNTU Hyderabad & Nagarjuna Sagar Engineering College.

Secure frequent itemset mining from horizontally distributed databases

Abstract: We propose a protocol for hiding the infrequent itemsets in horizontally distributed databases. Databases are horizontally partitioned when they are distributed among different players. Each player holds identical schema, but have information on different objects. Mining of frequent itemsets existed in databases of different players cause sensitive data leakage from one player to another player or to any third party. Mining should not reveal any players locally supported frequent itemsets among themselves or any third party. In order to maintain privacy, security is needed. We can provide the partial security to the item sets by removing infrequent subsets from the candidate item sets. In this thesis, a protocol for deriving frequent itemsets from horizontally distributed databases which does not leak secret information of the participating players in mining has been implemented. This protocol uses Fast Distributed Mining (FDM) algorithm which is given by Cheungetalet.el[3]. FDM algorithm uses the technique of Apriori[1] Algorithm to mine the frequent itemsets from distributed environment.

Studies of the Vibrational Energy Level of H2O by Algebraic and DFT Approaches

Abstract: The molecular spectroscopy is a branch of physics that deals with the interaction of electromagnetic radiation with matter. Within new theoretical approaches, we have calculated the stretching and bending vibrational energy levels of a water molecule in fundamental and overtone modes. The present calculation not only predicts the higher overtones, but also shows good agreement with a few experimental data.

Evaluation of medhovikas, a herbal formulation for antidepressant activity

Abstract: Objective: The present study was conducted to evaluate the antidepressant activity of Medhovikas and its activity is compared with that of Imipramine and Mentat. The MAO-A and MAO-B levels were estimated by the Biochemical Method. Methods: There are several methods available to evaluate the antidepressant activity. In the present study the antidepressant activity is assessed using behavioural despair method such as Forced swim test (FST) in mice. Imipramine is used as a positive control in doses of 10mg/kg and 20mg/kg, Similar activity was also observed with Medhovikas in doses of 200 and 400mg/kg. Biochemical method in rats to estimate the levels of MAO-A and MAO-B, the biogenic amine 5-HT is oxidized by MAO to 5-hydrixy indole acetic acid (5-HIAA) as a major metabolite and is excreted in urine. Hence the reduction in the urinary 5-HIAA level from normal after treatment with the test compound was taken as a measure of it’s MAO inhibitory action. Results : The antidepressant activity of 200 and 400mg/kg of Medhovikas was equivalent to that of 10 and 20mg/kg of imipramine respectively. It significantly reduced the duration of immobility indicating antidepressant activity. Significant decrease in brain MAO-A and MAO-B levels were observed which was determined by the Biochemical method. Conclusion: Antidepressant activity was probably shown by inhibiting MAO-A and MAO-B, There are several methods to detect the monoamine oxidaise inhibitor activity of substances. These methods are based on biochemical estimation of biogenic amines and /or their pharmacological responses. This shows that Medhovikas is a potential antidepressant and the probable mechanism of action is in interest for further investigation. Keywords: Antidepressant, Forced swim test, Imipramine,MAO-A & B, Medhovika and Mentat

High frequency Chirp signal generator using multi DDS approach on FPGA

Abstract: The range resolution and target detection capability in Radar Pulse compression techniques can be improved efficiently by a Linear frequency modulated (LFM) waveform or a chirp signal. As the conventional method of generating Linear frequency modulated waveform causes several limitations like instability and nonlinearity, this paper has proposed a digital technique to generate LFM signal by using a multi-DDS approach. For hardware implementations of any digitally designed module, the Joint Test Action Group (JTAG) plays a vital role in real-time processing. The JTAG standards in Field Programmable gate arrays (FPGA) are allowed to debug any design with the help of Hardware Co-Simulation JTAG block. In this paper, a linear frequency modulated waveform is generated using a Direct Digital Synthesizer (DDS) and System generator Xilinx block set. The Generated chirp signal is further implemented on FPGA-ZYNQ board (ZC7045-2ffg900), by generating a Hardware Co-simulation JTAG block, essentially required for radar signal processing.