Showing papers by "Jodhpur National University published in 2016"

Molecular docking and pharmacophore studies of heterocyclic compounds as Heat shock protein 90 (Hsp90) Inhibitors.

Abstract: Heat Shock Protein 90 was a key molecular chaperone involved in the proteome stability maintenance and its interference in many signaling networks associated with cancer progression, makes it of an important target for cancer therapeutics. The present study aimed to identify potential lead molecule among the selected heterocyclic compounds against Human Hsp90 (PDB: 1YET) through docking using GOLD 3.1 and pharmacophore studies using Discovery studio 2.1. On the basis of the GOLD Fitness scores, the compounds Q1G and T21 showed better binding affinity. Further the analyzed structure pharmacophore results are in consistence with the docking results indicating that both these compounds show antagonistic activity towards HSP90 respectively.

Hiv-1 reverse transcriptase and protease assay of methanolic extracts of adansonia digitata l.

Abstract: Objective : Anti-HIV activity studies of methanolic extracts of Adansonia digitata L. leaves, root bark and fruit pulp. Methods : Methanolic extracts of A. digitata were tested for HIV enzyme inhibitory activity against HIV-1 reverse transcriptase (RT) and HIV-1 protease (PR). HIV-1 RT assay was performed using non-radioactive HIV-RT colorimetric ELISA kit while the HIV-1 PR assay was performed using a fluorogenic octapeptide substrate, HIV-FRET (fluorescence resonance energy transfer) and a recombinant HIV-1 protease solution (AnaSpec Inc., USA). Results : The percentage inhibition of controls and A. digitata leaves, root bark and fruit pulp extracts were calculated relative to uninhibited HIV-1 RT and PR in 2% DMSO. The results of the HIV-1 RT assay indicated 26.5% inhibition by root bark extract (50 µg/ml) and 12.2% inhibition by leaf extract while the fruit pulp extract (100 µg/ml) has shown only 5.9% inhibition as compared to standard Nevirapine (100 nM) 27.5% inhibition. In the case of HIV-protease assay, leaf extract and fruit pulp extract (50 µg/ml) has shown quite high inhibition (≥ 50%) to the extent of 75% and 74% respectively which is very significant. The root bark extract has shown 35% inhibition. Conclusion: Methanolic extract of the leaves, root bark and fruit pulp of A. digitata has shown low anti-HIV-1 RT but significant PR activity. HIV-1 RT activity of root bark extract and HIV-1 PR activity of fruit pulp extract indicates the potential of the plant as an anti-HIV agent.

Facial emotion recognition for Human-Computer Interactions using hybrid feature extraction technique

Abstract: Facial expression recognition is the most important criteria for effective Human Computer Interaction (HCI) as well as a medium to understand and communicate with children who cannot emote verbally. In this paper, we propose a feature extraction technique by embedding 2D-LDA and 2D-PCA. The features extracted were then tested on standard classifiers i.e., Support Vector Machine (SVM) and K-Nearest Neighbourhood (KNN) classifiers. Facial expression images from JAFFE and Cohn-Kennedy databases were utilized for training as well as testing. Very high facial emotion recognition rate of 97.63% and 94.8% has been obtained with the proposed method for JAFFE and Cohn-Kanade databases respectively.

A review: Issues and Challenges in Big Data from Analytic and Storage perspectives

Abstract: There is an up-and-coming topic in the field of computer science and technology that is getting a lot of publications these days and that is Big Data The term Big data is referring for a collection of large and complex data sets which is very hard to process by database management tools or data processing applications The volumes are in the range of Exabyte and above Most of companies and government agencies are dealing with it in this current speedy moving technology environment Stand -alone applications as well as today’s newer web-based processes are generating large amount of data This raise some issues that has to be considered when dealing with big data Some of the issues are storage, management and processing This data also creates new challenges which make the framework based developers to come up with solutions to the problems They introduced different frameworks for the storage, management and processing of big data that are scalable and portable with fault tolerance capabilities Newer technologies for the analysis of such large amount data that is complex to handle are also introduced These challenges include Privacy and Security, Scale, and Heterogeneity to mention a few This paper reviews the Issues and Challenges of Big Data from Data Analytic and Storage Perspectives We also briefly discussed about the frameworks and databases that can be used to tackle the challenges that is facing Big Data world

Facial emotion recognition for human-machine interaction using hybrid DWT-SFET feature extraction technique

Abstract: Facial emotion recognition is the most significant parameter for an efficacious Human Machine Interaction (HMI). It plays a crucial role in interpreting and communicating with the people who have speaking impairments as well as a medium to understand and communicate with infants who cannot emote their feelings verbally. In this paper, we propose a hybrid feature extraction technique consisting of Discrete Wavelet Transform (DWT) accompanied by Shape Feature Extraction Technique (SFET).The features extracted were tested on standard classifiers such as Support Vector Machine (SVM) and K-Nearest Neighbourhood (KNN) classifiers. Facial images from JAFFE and Cohn-Kennedy databases were utilized for training as well as testing. The work shows a very high facial emotion recognition rate of 93.94% and 91.8% with the proposed method for JAFFE and Cohn-Kanade databases respectively.

Secure Neighbor Discovery (SEND) Protocol challenges and approaches

Abstract: Internet Protocol version 6 (IPv6) was standardized more than a decade and a half ago even then the security associations has not yet gained its momentum. IPv6 nodes use the Neighbor Discovery Protocol (NDP) to discover other link local address on the link, NDP covers host initialization and address auto configuration. IPv6 mandates to support Internet Protocol Security (IPSec). However, this security protocol does not cover the link local communication that uses neighbor discovery. NDP is vulnerable to various attacks when it is not secured and impractical due to the very large number of manually configured security associations needed for protecting NDP. For this reason, RFC 3971, the SEcure Neighbor Discovery (SEND) Protocol was proposed. SEND is a Strong security mechanism that can make the IPv6 link-local communication very safe. Although the SEND is considered to be a promising solution with which to protect NDP and to make IPv6 a very secure protocol, the deployment is not easy and thus very challenging. This paper propose performance analysis and comparison framework for SEND functionalities, discuss the practical consideration and approaches of SEND deployment in securing IPv6 network.

Conventional and switched inductor buck boost converter circuit for solar power system: Simulation, comparison and results

Abstract: To harness the power from solar has become a common phenomenon. Though the improvement in the efficiency of solar cell is gained up to 68% eventually against the claim of 85% by the manufacturers. To raise the overall efficiency of the solar system with the advent of power electronics engineering is also continuously performing an important and novel role. This paper proposes switched inductor buck boost converter model having tow inductors and three diodes, which provides higher voltage gain without affecting the efficiency when compared to the conventional buck boost converter. The simulation results are presented to confirm the capability of the converter to produce high voltage gain. The comparison between the proposed model and the traditional model is also provided to expose the improvement. The proposed converter is suitable for converter system used in micro DC grid system as well as solar power system.

Proposed inverter topology and control circuit for the proposed grid connected photovoltaic system: Description and design specification

Abstract: The need for a cleaner environment and the continuous increase in energy demands makes decentralized renewable energy production more and more important. Photovoltaic generate electric power when illuminated by sunlight or artificial light. It directly convert the sun's energy into electricity which can be easily transported and converted to other forms for the benefit of society. The role of power electronics converter is very important in the PV systems. The electricity generated by a PV module is in the form of direct current (DC). Transformation of direct current to alternating current (AC) required by many common appliances and for grid-connection is achieved with inverter system. Buck Boost converter is used to boost the photovoltaic voltage at the required high level also act as a Maximum Power Point Tracking (MPPT) controller together with MPPT algorithm to extract the maximum power from the photovoltaic module. In this topology, the photovoltaic module is the source of energy, the DC/DC buck boost converters is to adjust the DC-link voltage, tracks the maximum power and boost the PV voltage to the DC/AC H bridge inverter injects the AC currents to the load or gr id. The result is used for the Simulink block as a current source to obtain the voltage and current delivered from PV.

Study of Acid-base Indicator Property of Ethanolic Extract of Nerium indicum Flower

Abstract: A study has been done to investigate the indicator property of ethanolic extract of Nerium indicum. The commonly used synthetics indicators cause environmental pollution and pose hazardous effects in human body. Natural pigments in plants are highly coloured substance and may change with pH variation. The equivalence points of the titrations using flower extract is almost close or coincide with that of phenolphthalein (synthetic indicator). Therefore, use of ethanolic extract of Nerium indicum as an indicator for acid-base titration could be effectively employed as a substitute to the synthetic acid-base indicators.

Physico-Chemical Evaluation for Allium hookeri Thw. Enum Leaves

Abstract: Awareness and general acceptability of the natural products is increasing day by day because of its lesser side effect and cost factor. Above 80% of the world population is depending upon herbal medicines. Use of plants as medicine is the oldest practice that has been used in all countries from ancient time. Based on those old practices medicines of modern days are derived either directly or indirectly from the natural products. Manipur is one of the north eastern states of India and one of the hot spot areas of biodiversity, blessed with the amazing variety of flora and fauna. Allium hookeri belongs to Alliaceae family and is a perennial herb growing in dampy soil in every kitchen garden in Manipur. It is locally known as Maroi Napakpi and used as spice and condiment in almost all Manipuri dishes. Its taste is preferred over onion in Manipur.Fresh leaves and fibrous roots are used as medicine in reducing temperature, in swelling as an antimicrobial and antioxidant and reducing blood cholesterol etc. It is reported that its root has antioxidant, free radical scavenging, antimicrobial and anti-inflammatory action. In Manipur people are taking fresh green leaves for many ailments like reducing temperature, reducing blood cholesterol, etc.. So the present study has been carried out to evaluate pharmacognostic and physicochemical analysis of shade dried leaves of Allium hookeri .. The reported information will provide data which will be useful in proper identification and authentification of this plant for future research work.

Socio-economic Status of Deshi Muslims: A Case Study of Matia Community Development Block of Goalpara District, Assam, India

Abstract: The socio-economic condition of individuals of any society is comprised of vast arena of subjects, and any rational being favours for their improvement. Earning opportunities, educational attainment and health facilities are such indicators for an improved socio-economic condition of any community . Indeed their measurements is difficult, most of the social scientist have focused to concentrate on these prominent aspects to grasp, compare and contrast socio-economic condition of any group of people. Socio-economic condition being a complicated aspect, its realization rests on both qualitative and quantitative analysis. However, its assessment and analysis is necessary to diagnose for further improvement of quality of life of people. The holistic approach of Indian economy clearly indicated achieving the main objectives of rapid economic growth with social justice. After six decades of planning in India, living standard of average Indian has improved but certain groups of people in our community are lagged behind to cope with ongoing development activities. The Deshi Muslim community is an indigenous ethnic group of Assam. Traditionally, this section of people is rural based and primarily depends on Agriculture and other petty manual works for their livelihood. So, this section of people remains far behind to achieve educational attainment, realizing health facilities, earning opportunities etc. The idea of equality regarding socio-economic development among all sections of people seemed questionable in such situation. To observe the reality in grassroots a micro level study is adopted. Therefore, a study entitled “Socio-economic Status of Deshi Muslims: A case study of Matia Community Development Block of Goalpara District, Assam, India” is adopted.

Ultra Sapient Inference Engine

Abstract: This paper models a futuristic vision towards developing an Ultra Sapient Inference Engine (USIE) in Computer Science. Humans are considered as the most Sapient living creatures on Earth and have been named Homo-Sapiens scientifically. Bayesian models have been considered naturally appealing for quantifying relevance in intelligent inference along with the usage of probability theory & its main streams [1]. We shall also draw our paper from various fields in artificial Intelligence, perspicacious learning systems, neural networks, expert system and management Science as primal tools to develop USIE. Humans have a limited amount of attention to pay while inferring a solution collectively. It takes decades by scientists to diagnose & come up with epistemological solution for a scientific mystery. However if we are able to automate intelligent inference, it is ought to save considerable amount of time along with accurate results. We can say that cognitive style of humans will be morphed in this engine, with a difference that computers don't make mistakes until told to. The greatest challenge is to diagnose selection of rulings to be used during a collective inference and apply versatile decision process. The main contribution of this paper is towards developing a technical vision for USIE.

Privacy Preservation in Distributed Environment Using RSA-CRT

Abstract: Most data mining applications are based on information sharing and additional challenges, when we are dealing with data that are containing sensitive or private information. There is no common data mining technique available that deals with private information without any leakage. Therefore, the knowledge extracted from such data may disclose the pattern with sensitive/private information. This may put privacy on the individual/group of parties. In the past few years, privacy preserving data mining has attracted the research interest and potential for a wide area of applications. There are many techniques for privacy preservation like cryptography, anonymity, and randomization, etc., experimented for privacy preservation in data mining. In this paper, information system-based approach is considered, so some of the attributes required higher privacy compared to the other attributes. This paper explores the use of cryptography techniques, namely RSA with Chinese remainder theorem (CRT) to encrypt and decrypt the database, when all the parties are trying to find their global result in presence of trusted third party or absence of trusted third party, without disclosing their private information to each other.

Membrane stabilizing evaluation of non- polar and polar fractions from Trigonella foenum-graecum (Linn.)in arthritic rats

Abstract: Objective: The present study was aimed to assess the anti-arthritic activity of petroleum ether and n-butanolic fraction of Trigonella foenum-graecum (Linn.) seed extract against Freund’s complete adjuvant induced arthritis in rats. Materials and Methods: Methanolic extract of T. foenum-graecum (Linn.) seeds were fractionated in various organic solvents and on the basis of results of in vitro protein denaturation and proteinase inhibitory activity (data not shown here), petroleum ether and n-butanolic fractions were selected for anti-arthritic activity. The active petroleum ether and n-butanolic fraction were administered at the dose of 50 and 100 mg/kg body weight. The effects of both fractions on liver alkaline phosphatase, acid phosphatase and lactate dehydrogenase levels and malondialdehyde, glutathione (GSH) and superoxide dismutase (SOD) from articular cartilages in arthritic animals were studied. Prednisolone (10 mg/kg) was used as a standard. Results: In arthritic rats, the petroleum ether and n-butanolic fraction showed a highly significant reduction in paw volume (100 mg/kg - 68.37 and 75.21%) (P<0.01, 0.001). Membrane marker enzymes and oxidative free radicals were significantly decreased in the both fraction treated groups and GSH and SOD activities were significantly increased compared with the arthritic control. Among these two active fractions, n-butanolic fraction showed best activity as compared to petroleum ether fraction. Conclusion: The n-butanolic fraction of T. foenum-graecum (Linn.) seed extract significantly reduced the level of antioxidant enzymes as well as membrane stabilizing markers. The possible mechanism may be due to both stabilizing actions of membrane marker enzymes or inhibition of oxidative free radicals

Socio-demographic Characteristics of School Dropouts in Mahbubnagar District of Telangana State, India

Abstract: Free and compulsory education to all children up to the age of fourteen years is the commitment of the Constitution of India The governments of India and state governments have initiated a number of programmes to achieve the goal of universalization of elementary education Among them Sarva Shiksha Abhiyan (SSA) is the recent addition According to the handbook of education statistics (2013-14), 382 per cent of children in the state who had enrolled in Class I did not reach Class X and were thus, deprived of basic education To improve retention in government schools, understanding the socio-demographic characteristics of the parents of school dropout children would be advantageous For the purposes of the study, a field survey was conducted in 18 villages of six rural Mandals of Mahbubnagar district with a sample of 401 respondents Study finding revealed that both boys and girls in the age group of six to 18 years were equally vulnerable to dropouts About 90 per cent of the school dropout children were from the government schools and three in five children in the age group of 15 to 18 years were dropped out from the school

Hash-Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment

Abstract: Today Innovative Technology is used to analyze and manipulate huge amount of data in the cloud computing environment. It is very challenging task because the privacy and security are the main issue. Because the scenario of the cloud environment is given, then the distributed database comes in the picture as well as privacy. In this paper, we used the concept of pseudo random number, and for finding the strong Association rule in the database, we used the Inverted hashing and pruning as well as distributing the database into the different number of cloud nodes, and finding the global result, we used Distributed secure sum protocol in the homogenous cloud environments, where the number of attributes will be same, the number of transactions wearies from node to node.

Synthesis, Characterization and Pharmacological Evaluation of Thiosalicylamide Derivative as a Class of Calcium Channel Blocker

Abstract: Objective: Hypertension is one of the major causes of the cardiovascular diseases and in the later stages, it also damages the brain, kidneys, eyes and coronary arteries. It is also life threatening as it causes heart strokes and attacks. The calcium channels regulates blood pressure by muscle contraction triggered by neurotransmitter release to electrical excitation. Method: Calcium channel blocker drugs reduce intracellular calcium transfer to limit ATP release to reduce muscle cell contractility. They act, especially on the nodal tissues in the heart and arterial smooth muscle cells in which only slow calcium channel blockers opens without triggering of fast sodium ion channels. Pharmacophore approach is employed to generate novel thiosalicylamide derivatives having calcium channel blocking activity for treatment of hypertension. Result: These novel thiosalicylamide derived lead molecules are synthesized and tested for their in-vivo pharmacological activity by using isolated guinea-pig ileum muscles.

Design of a Half/Full Subtractor on Quantum-Dot Cellular Automata

Abstract: Quantum-dot cellular automata (QCA) is a novel nanotechnology which promises molecular digital circuits with ultra-high clock frequencies, alternative solution to replace to replace the conventional CMOS technology which is reaching their physical limits. Despite a lot is still needed for the large scale utilization of the technology, there has been serious effort in digital design implementation in QCA. In this paper, a new architecture of Half and Full subtractor based on the QCA is proposed. The benefit of optimal FNZ universal gate is taken in demonstrating these arithmetic units, which has already designed based on the QCA. The design helps to reduce the complexity, then the conventional subtractors based on the QCA, in terms of covered area, count of the cells, and delay. The proposed subtractors are designed and simulated using QCA Designer tool version 2.0.3.