Yadav N.,University of Delhi |
Mishra K.,Jaypee University |
Hashmi S.A.,University of Delhi
Electrochimica Acta | Year: 2017
We report the poly(vinylidene fluoride-co-hexfluoropropylene) (PVdF-HFP) based porous polymer electrolyte membranes, prepared via phase-inversion/solvent-nonsolvent methods, activated with an organic liquid electrolyte ethylene carbonate (EC):propylene carbonate (PC)-NaClO4 for the application in electric double layer capacitor (EDLC). The simple, quick and environment-friendly phase-inversion method, involving condensing steam as non-solvent, has been taken as the optimized process to obtain the porous PVdF-HFP film. The films of porous PVdF-HFP and the electrolyte (after soaking with liquid electrolyte) have been characterized for their morphological/structural aspects, porosity, liquid electrolyte retention, interaction with electrolyte, thermal properties, electrochemical stability and ionic conductivity. A pore-formation mechanism during phase-inversion at 100 °C has been proposed on the basis of thermal studies. The electrolyte film has been found to have excellent mechanical flexibility, porosity (∼80%), electrolyte retention (∼400%), ionic conductivity (∼2 mS cm−1 at room temperature), and electrochemical stability window (ESW) of ∼4.35 V. The EDLC, fabricated with activated carbon electrodes and porous polymer electrolyte, exhibits excellent performance characteristics in terms of the specific capacitance (∼150 F g−1, evaluated from EIS), specific energy (∼17.7 Wh kg−1) and specific power (14.3 kW kg−1). The device shows stable specific capacitance (after ∼17% initial fading) and high Coulombic efficiency (over 99%) for ∼10,000 charge-discharge cycles. © 2017 Elsevier Ltd
Batra A.,Delhi Technological University |
Chandra A.,Delhi Technological University |
Matoria V.,Jaypee University
Proceedings - 2017 International Conference on Machine Vision and Information Technology, CMVIT 2017 | Year: 2017
Fetal distress is a primary factor for cesarean sectionin obstetrics and gynecology. If there is a lack of oxygen for thefetus in the uterus, then there is always a risk of deterioratinghealth which could lead to death as well. Cardiotocography (CTG) the most popular technique to observe fetal health. Fetalheart rate (FHR) is an essential index to identify occurences offetal distress. This study makes use of the following to evaluatefetal distress: 1) Decision tree (DT) 2) Support Vector Machines (SVM) 3) Random Forest 4) Neural Networks 5) Gradient Boosting We present in this paper a new algorithm which improves theaccuracy to 99.25% which is higher than what was obtained inprevious research. © 2017 IEEE.
Saxena V.N.,Jaypee University
2016 International Conference on Signal Processing and Communication, ICSC 2016 | Year: 2016
In this paper an experiment has been done on proposed algorithm for calculation of wall parameters. 2D-beam forming image has been developed by using calculated wall parameters, but calculated wall parameters are not so exact so auto focusing techniques based on higher order statistics has been presented that correct wall ambiguities. All data has been taken in real time environments by interfacing the VNA to the laptop. © 2016 IEEE.
Gangwar S.,Jaypee University |
Singh H.S.,Jaypee University
2016 International Conference on Signal Processing and Communication, ICSC 2016 | Year: 2016
In this paper, a planar ultra wideband antenna is presented for lower millimeter wave applications. The proposed antenna consists of flared antenna structure and coplanar stripline (CPS) feedline. The measured operating frequency band of the microstrip-to-stripline transition is 5 GHz to over 45 GHz. This transition is implemented with flared antenna structure which provides operating bandwidth from 7GHz to more than 45 GHz with 10dB return loss. The measured gain of the proposed antenna is varied from 4 dBi to 6.6 dBi over 24 GHz to 47.75 GHz whereas lower gain is obtained below 10 GHz. The E-plane and H-plane radiation patterns of the proposed antenna are directional over all the operating frequency bands. The optimized microstrip-to-stripline transition and antenna structure are fabricated and measured. The simulated and measured results are in close agreement. © 2016 IEEE.
Singh N.,Jaypee University of Information Technology |
Goel G.,Jaypee University of Information Technology |
Pathak B.K.,Jaypee University |
Kaushik D.,MATS University
Food Bioscience | Year: 2015
The study investigates the application of Artificial Neural Network (ANN) in modeling a Liquid State Fermentation (LSF) for red pigment production by Monascus purpureus MTCC 369. A neural network model was characterized by the three fermentation parameters as neurons in the input layer and pigment yield as one neuron in the output layer. The input neurons included incubation period of 6-18 days, pH of rice water as substrate (3.0-5.0) and concentration of ammonium nitrate as nitrogen source (0.0-2.0%). The model was trained and validated to predict the red pigment yield (abs500 nm/mg dry fungal biomass). The results showed a good fit between predicted and experimental values for the model. The maximum red pigment yield (20.44 U abs500 nm/mg dfb) was obtained with substrate pH of 4.0 without any ammonium nitrate as N-source after 12 days of incubation. The developed ANN model can be used to predict the effects of fermentation parameters on red pigment production with a high correlation. © 2015 Elsevier Ltd. All rights reserved.
Pathak B.K.,Jaypee University |
Srivastava S.,Dayalbagh Educational Institute
Iranian Journal of Fuzzy Systems | Year: 2015
This study presents the effects of project uncertainties on non- linear time-cost tradeoff (TCT) profile of real life engineering projects by the fusion of fuzzy logic and artificial neural network (ANN) models with hybrid meta-heuristic (HMH) technique, abridged as Fuzzy-ANN-HMH. Nonlinear time-cost relationship of project activities is dealt with ANN models. ANN models are then integrated with HMH technique to search for Pareto-optimal nonlinear TCT profile. HMH technique incorporates simulated annealing in the selection process of multiobjective genetic algorithm. Moreover, in real life engineering projects, uncertainties like management experience, labor skills, and weather conditions are commonly involved, which affect the duration and cost of the project activities. Fuzzy-ANN-HMH analyses responsiveness of nonlinear TCT profile with respect to these uncertainties. A comparison of Fuzzy-ANN-HMH is made with another method in literature to solve nonlinear TCT problem and the superiority of Fuzzy-ANN-HMH is demonstrated by results. The study gives project planners to carry out the best plan that optimizes time and cost to complete a project under uncertain environment. © 2015, University of Sistan and Baluchestan. All rights reserved.
Sharma V.,Thapar University |
Kumar R.,Thapar University |
Rathore N.,JayPee University
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications | Year: 2015
Ad hoc networks have been used in wide range of applications. These networks have become versatile as far implementation is concerned. Such networks have been used from static deployment to mobile network formations. Apart from Mobile Ad Hoc Networks (MANETs) and Vehicular Ad Hoc Networks (VANETs), another ad hoc formation with mobile nodes is the aerial ad hoc networks also termed as Flying Ad Hoc Networks (FANETs). A coordinated network formation between the ground ad hoc network and aerial ad hoc network provides vast applications in both civilian and military activities. Various existing issues of mobile networks can easily be resolved using aerial network formations. However, these networks similar to the traditional ad hoc formations are having a major issue of broadcast storming and network partitioning. These issues hinder the performance of such networks. Broadcast storming refers to replication of similar data in the network that increases the overheads which ultimately leads to network failure. In this paper, broadcast storming is considered as a problem and a possible solution is provided for it by keeping control over network partitioning issues. The proposed approach uses parameter sensitivity which is derived over optimized value of nodes configurations to form a topological arrangement. This topological arrangement is formed using logical proximity graphs which operate over link weight and parameter sensitivity. The proposed route discovery strategy under the proposed approach is capable of handling issues related to broadcast storms without affecting the network performance. © 2015, Innovative Information Science and Technology Research Group. All rigths reserved.
Sharma S.,Jaypee University of Engineering & Technology |
Dubey S.R.,Indian Institute of Information Technology Allahabad |
Singh S.K.,Indian Institute of Information Technology Allahabad |
Saxena R.,Jaypee University |
Singh R.K.,Indian Institute of Information Technology Allahabad
Expert Systems with Applications | Year: 2015
A multimodal biometric system for personal identity verification is proposed using hand shape and hand geometry in this paper. Shape and geometry features are derived with the help of only contour of the hand image for which only one image acquisition device is sufficient. All the processing is done with respect to a stable reference point at wrist line which is more stable as compared to the centroid against the finger rotation and peaks and valleys determination. Two shape based features are extracted by using the distance and orientation of each point of hand contour with respect to the reference point followed by wavelet decomposition to reduce the dimension. Seven distances are used to encode the geometrical information of the hand. Shape and geometry based features are fused at score levels and their performances are evaluated using standard ROC curves between false acceptance rate, true acceptance rate, equal error rate and decidability index. Different similarity measures are used to examine the accuracy of the introduced method. Performance of system is analyzed for shape based (distance and orientation) and geometrical features individually as well as for all possible combinations of feature and score level fusion. The proposed features and fusion methods are studied over two hand image datasets, (1) JUET contact database of 50 subjects having 10 templates each and (2) IITD contactless dataset of 240 subjects with 5 templates each. The proposed method outperforms other approaches with the best 0.31% of EER. © 2014 Elsevier Ltd. All rights reserved.
Mishra J.K.,Jaypee University |
Dhar S.,Indian Institute of Technology Bombay
Solid State Communications | Year: 2016
Defects in Gd-doped GaN layers are investigated using thermally stimulated current spectroscopy (TSC). The line-shape function, which commonly considers a delta function like density of state for the trap levels, is modified to take into account broad trap distributions. This function is used to fit the spectra which show two broad TSC features in all Gd-doped samples. The feature associated with the trap distribution peaking at about 45 meV from the band edge (TSC-1) can be attributed to unintentional oxygen donors, while the second feature for which the distribution peaks at ≈130meV (TSC-2) from the band edge is assigned to the defects resulting due to Gd incorporation as the intensity of this feature increases with the Gd concentration. However, only a portion of the TSC-2 band, which is estimated to have an activation energy of 240 meV, is substantially reduced upon annealing at 800 °C. The annealing also results in a complete suppression of the magnetization. This implies that the observed magnetization is likely to be resulting from the defects associated with this portion of TSC-2 band. Furthermore, the energetic position of this portion of TSC-2 band (240 meV) matches very well with the activation energy (≈200meV) for the low temperature PL peak at 3.05 eV, which has already been attributed to the defects responsible for the observed magnetic behavior. This suggests that both the TSC and the PL features are resulting from the same defect type and therefore, could provide a vital clue in the search for the exact nature of the defect responsible. © 2015 Elsevier Ltd. All rights reserved.
Katta E.,Jaypee University |
Arora A.,Jaypee University
2015 8th International Conference on Contemporary Computing, IC3 2015 | Year: 2015
Cross Language Information Retrieval (CLIR) is a sub domain of Information Retrieval. It deals with retrieval of information in a specified language that is different from the language of user's query. In this paper, an improved English-Hindi based CLIR is proposed. There are various un-noticed domains in this broad research area that are required to be worked upon in order to improve the performance of an English-Hindi based CLIR. Not much research effort has been put up to improve the searching and ranking aspects of CLIR systems, especially in case of English-Hindi based CLIR. This paper focuses on applying algorithms like Naïve Bayes and particle swarm optimization in order to improve ranking and searching aspects of a CLIR system. We matched terms contained in documents to the query terms in same sequence as present in the search query to make our system more efficient. Along with this our approach also makes use of bilingual English-Hindi translator for query conversion in Hindi language. Further, we use Hindi query extension and synonym generation which helps in retrieving more relevant results in an English-Hindi based CLIR as compared to existing one. Both of these techniques applied to this improved approach gives user a change to choose more appropriate Hindi query than just by using the single translated query and hence improving overall performance. © 2015 IEEE.