University Institute of Engineering and Technology

Kānpur, India

University Institute of Engineering and Technology

Kānpur, India
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Behal S.,Punjab Technical University | Kumar K.,University Institute of Engineering and Technology | Sachdeva M.,Punjab Technical University
International Journal of Network Security | Year: 2017

Millions of people across the globe access Internet-based applications and web services in their day to day activities. Distributed Denial of Service (DDoS) attack is one of the prominent attacks that cripple down the computing and communication resources of a web server hosting these services and applications. The situation turns further crucial when DDoS attacks are launch during similar looking legitimate traffc called a flash event (FE). Both DDoS attacks and FEs causes a sudden surge in the net- work traffc leading to delay in the responses from the web server. It often leads to massive ffnancial losses, and thus, require timely actions. This paper presents a comprehensive review that broadly discusses the DDoS and FE problem, and recapitulates the recently published strategies in this ffeld. As part of the work, a pragmatic list of rationales to discriminate the two has been proposed. This list can help the researcher community for better understanding the problem and can provide more effective solutions to the ongoing problem of discriminating DDoS attacks from FEs.

Kaur V.,University Institute of Engineering and Technology | Thangjam S.,University Institute of Engineering and Technology
India International Conference on Information Processing, IICIP 2016 - Proceedings | Year: 2017

RF energy harvesting and D2D communication technologies have the potential to provide energy and the spectrum replenishment for the wireless networks. In this paper, we propose a network model for the performance analysis of D2D communication with RF energy harvesting in a peer to peer simultaneous wireless information and power transfer (SWIPT) strategy with the RF transmitters. We use the stochastic geometry models such as Poisson point process (PPP) and the Ginibre Determinantal point process (DPP) for the distribution of the base stations, cellular and the D2D users in cellular network. The D2D users use one of the channel allocated to the cellular users during transmission by using the prioritize spectrum access policy (PSA). The proposed network model is simulating in the MATLAB for the performance analysis and the results are equated above 10,000 recitations. The results show that the DPP distribution is more effective in D2D communication with SWIPT transmission and energy harvesting than PPP. © 2016 IEEE.

Dubey K.K.,University Institute of Engineering and Technology | Goel N.,University Institute of Engineering and Technology
The Scientific World Journal | Year: 2013

Present work investigated an apposite and efficient method for extraction of betulinic acid (BA) from the bark of Ziziphus jujubae. Various extraction methods like stirring extraction, soxhlet extraction, ultrasonic extraction, and microwave assisted extraction (MAE) were evaluated for increasing recovery percentage of BA. From the raffinate so obtained, BA was isolated. Thin layer chromatography (TLC) was used to analyze the extract and high performance liquid chromatography (HPLC) for quantification. The results revealed that the percentage extraction of BA from Z. jujubae by MAE was more proficient. As recovery percentage of BA by MAE technique turned out to be maximum, by using response surface methodology (RSM), three process parameters (pH, temperature, and time) were optimized by MAE and it was observed that the optimum parameters (pH 6.5, temp. 70.23°C, and time 3.5 min) gave the maximum recovery of BA (0.44% w/w). To validate the RSM model, experiments were performed and the highest recovery of BA was found to be 0.4% w/w which is ±0.04% to the predicted value. Henceforth the extraction efficiency and the substantial saving of time by MAE was more capable than the other extraction techniques. © 2013 Kashyap Kumar Dubey and Nitika Goel.

Gupta M.K.,University Institute of Engineering and Technology | Singh D.B.,Chhatrapati Shahu Ji Maharaj University | Shukla R.,University Institute of Engineering and Technology | Misra K.,Sanjay Gandhi Post Graduate Institute of Medical Sciences
OMICS A Journal of Integrative Biology | Year: 2013

The thyroid pathway represents a complex interaction of different glands for thyroid hormone synthesis. Thyrotropin releasing hormone is synthesized in the hypothalamus and regulates thyrotropin stimulating hormone gene expression in the pituitary gland. In order to understand the complexity of the thyroid pathways, and using experimental data retrieved from the biomedical literature (e.g., NCBI, HuGE Navigator, Protein Data Bank, and KEGG), we constructed a metabolic map of the thyroid hormone pathway at a molecular level and analyzed it topologically. A total of five hub nodes were predicted in regards to the transcription thyroid receptor (TR), cAMP response element-binding protein (CREB), signal transducer and activator of transcription 3 (STAT 3), nuclear factor kappa-light-chain-enhancer of activated B cells (NFkB), and activator protein 1 (AP-1) as being potentially important in study of thyroid disorders and as novel putative therapeutic drug targets. Notably, the thyroid receptor is a highly connected hub node and currently used as a therapeutic target in hypothyroidism. Our analysis represents the first comprehensive description of the thyroid pathway, which pertains to understanding the function of the protein and gene interaction networks. The findings from this study are therefore informative for pathophysiology and rational therapeutics of thyroid disorders. © Mary Ann Liebert, Inc.

Thapa K.B.,University Institute of Engineering and Technology | Srivastava S.,University Institute of Engineering and Technology | Tiwari S.,University Institute of Engineering and Technology
Journal of Superconductivity and Novel Magnetism | Year: 2010

We show theoretically that the frequency range of photonic band gap of a hetero-structure which is made of a metallic photonic and superconducting photonic crystal can be enlarged due to the combination of the reflection band properties of the superconductor-dielectric (PC1) and metallic-dielectric (PC2) periodic structures. The transmittance and band structure of the considered structures are calculated using simple transfer matrix method and the Bloch theorem. Beside this, we have also calculated the transmittance of the superconducting photonic structure (PC1), metallic photonic structure (PC2) and heterostructure of metallic photonic and superconductor photonic crystals (PC1/PC2) for TE and TM-mode at the different angles of incidence. © Springer Science+Business Media, LLC 2010.

Singh S.,National Physical Laboratory India | Singh S.,University Institute of Engineering and Technology | Kumar S.,National Physical Laboratory India | Dwivedi N.,National Physical Laboratory India
Solar Energy | Year: 2012

The p-layer band gap and its thickness strongly influence the efficiency of hydrogenated amorphous silicon (a-Si:H) p-i-n solar cell, i and n-layer band gaps also play key role. In the present work, p, i and n layer band gaps as 2.1eV (at thickness 10nm), 1.75eV (at thickness 400nm) and 1.95eV (at thickness 30nm), respectively and acceptor and donor concentrations as 1×10 18cm -3and 1×10 20cm -3, respectively, are optimized for obtaining efficient a-Si:H p-i-n solar cell by computer aided one-dimensional AFORS-HET software. It is important to mention that when p-layer thickness is changed to 5nm, maximum efficiency is obtained at p-layer band gap of 2.2eV. Such an optimized value would further help to prepare efficient a-Si:H p-i-n solar cells experimentally. © 2012 Elsevier Ltd.

Dubey K.K.,University Institute of Engineering and Technology | Behera B.K.,Md University
New Biotechnology | Year: 2011

Effect of various nutritional components and fermentation parameters on biotransformation of colchicine using Bacillus megaterium ACBT03 to produce 3-demethylated colchicine (3-DMC) has been investigated. Initially, Plackett-Burman (PB) design was used to evaluate the 11 nutritional variables to screen medium component that significantly influences the 3-demethylated colchicine (3-DMC) production. Three most statistically significant nutrients that is starch, glycerol and yeast extract were identified. Response surface methodology was used to optimize fermenter operational factors pH, temperature, impeller tip velocity and aeration rate for high 3-DMC production. The predicted results of 3-DMC yield (7689.13. mg/l) were obtained at 5-l-jar fermenter after optimization of pH 6.8, temperature 28°C, impeller tip velocity 4650. cm/min, and aeration rate 2.0. vvm. The validity of model was confirmed; and the optimum medium designed led a maximum 3-DMC yield of 7335. mg/l, which had 3-4% variation with predicted results. Furthermore, the experiment was scaled up in the 70-l fermenter. © 2010 Elsevier B.V.

Rana C.,University Institute of Engineering and Technology | Jain S.K.,National Institute of Technology Kurukshetra
Swarm and Evolutionary Computation | Year: 2014

The use of internet and Web services is changing the way we use resources and communicate since the last decade. Although, this usage has made life easier in many respects still the problem of finding relevant information persists. A naïve user faces the problem of information overload and continuous flow of new information makes the problem more complex. Furthermore, user′s interests also keeps on changing with time. Several techniques deal with this problem and data mining is widely used among them. Recommender Systems (RSs) assist users in finding relevant information on the web and are mostly based on data mining algorithms. This paper addresses the problem of user requirements changing over a period of time in seeking information on web and how RSs deal with them. We propose a Dynamic Recommender system (DRS) based on evolutionary clustering algorithm. This clustering algorithm makes clusters of similar users and evolves them depicting accurate and relevant user preferences over time. The proposed approach performs an optimization of conflicting parameters instead of using the traditional evolutionary algorithms like genetic algorithm. The algorithm has been empirically tested and compared with standard recommendation algorithms and it shows considerable improvement in terms of quality of recommendations and computation time. © 2013 Elsevier B.V.

Gupta M.K.,University Institute of Engineering and Technology | Misra K.,Sanjay Gandhi Post Graduate Institute of Medical Sciences
Journal of Molecular Modeling | Year: 2014

The three-dimensional quantitative structure-activity relationship (3D-QSAR) for inhibitors of thyroid hormone receptors (TR) α and (TR) β was studied. The training set of the TRα model generated a correlation coefficient (R2) = 0.9535, with standard deviation (SD)=0.3016. From the test set of the TRα model, a Q2 value for the predicted activities (= 0.4303), squared correlation (random selection R2- CV=0.6929), Pearson-R (= 0.7294) and root mean square error (RMSE=0.6342) were calculated. The P-value for TRα (= 1.411e-96) and TRβ (= 2.108e-165) models indicate a high degree of self-reliance. For the TRβ model, the training set yielded R2 =0.9424 with SD = 0.3719. From the test set of TRβ, Q2 value (= 0.5336), the squared correlation (R2-CV=0.7201), the Pearson-R (= 0.7852) and RMSE for test set predictions (=0.8630) all strengthen the good predictive competence of the QSAR model derived. Examination of internal as well as external validation supports the rationality and good predictive ability of the best model. Molecular docking explained the conformations of molecules and important amino acid residues at the docking pocket, and a molecular dynamics simulation study further uncovered the binding process and validated the rationality of docking results. The findings not only lead to a better understanding of interactions between these antagonists and thyroid hormone receptors α and β, but also provide valuable information about the impact of structure on activity that will be very beneficial in the design of novel antagonists with preferred activity. © Springer-Verlag 2014.

Kaur A.,University Institute of Engineering and Technology | Gupta V.,University Institute of Engineering and Technology
Journal of Emerging Technologies in Web Intelligence | Year: 2013

Sentiment Analysis (SA), an application of Natural Language processing (NLP), has been witnessed a blooming interest over the past decade. It is also known as opinion mining, mood extraction and emotion analysis. The basic in opinion mining is classifying the polarity of text in terms of positive (good), negative (bad) or neutral (surprise). Mood Extraction automates the decision making performed by human. It is the important aspect for capturing public opinion about product preferences, marketing campaigns, political movements, social events and company strategies. In addition to sentiment analysis for English and other European languages, this task is applied on various Indian languages like Bengali, Hindi, Telugu and Malayalam. This paper describes the survey on main approaches for performing sentiment extraction. © 2013 ACADEMY PUBLISHER.

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