Pal S.,Malviya National Institute of Technology |
Kumar R.,Malviya National Institute of Technology
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016
Demand response (DR) sustains an influential role in today's smart grid. DR program is an initiative to enhance the performance of electricity price market and the stability of the power system. Price based DR programs have a significant part in the residential customer activities. In the present scenario, the flat tariffs are replaced by real-time pricing (RTP) models due to their economic benefits and the environment supportive behave. The RTP models are capable of providing a chance to customers to reduce their electricity bills. The customers can communicate their demand information to the utility and get back the prices via smart metering technologies. In this paper, an automatic load control approach with dynamic pricing models is implemented for residential consumers. In real time pricing environment, it is necessary to have price prediction capabilities. Here, the linear prediction model (LPM) and artificial neural network are implemented for predicting the prices. For optimization purpose mixed binary linear programming (MBLP) computations are used. To validate the performance of system simulation results has shown the better performance with the different scenario. © 2016 IEEE.
Agarwal R.,Malviya National Institute of Technology
Advances in Intelligent Systems and Computing | Year: 2014
The purpose of the present investigation is to derive several Fekete–Szegö-type coefficient inequalities for certain subclasses of normalized analytic function f (z) defined in the open unit disk. Various applications of our main results involving (for example) the operators defined using generalized fractional differential operator are also considered. Thus, as one of these applications of our result, we obtain the Fekete–Szegö-type inequality for a class of normalized analytic functions, which is defined here by means of the convolution and the fractional differential operators. © Springer India 2014.
Sharma H.K.,Malviya National Institute of Technology |
Swami M.,Sardar Vallabhbhai National Institute of Technology, Surat
European Transport - Trasporti Europei | Year: 2012
Traffic congestion on urban roads has become a serious concern, particularly, at intersections. The performance of an intersection controls the performance of urban roads meeting at that intersection. The paper presents the effect of addition of turning lane in the middle of approach road at busy signalized at-grade intersection, narrowing the width of all lanes to keep total road width the same, in heterogeneous traffic. The traffic at intersection comprises both of vehicles and pedestrians. Their interactions along with signal cycle decide the efficiency of an intersection. A microscopic simulation tool VISSIM, has been used to model the heterogeneous (mixed) traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The effect is investigated with different random seeds to obtain reasonable results for analysis. The performance evaluation is done in terms of vehicle throughput, average queue length, maximum queue length, average delay time per vehicle, average speed and emission of Carbon monoxide CO, mono-nitrogen oxides NOx, Volatile organic compounds (VOC) etc. It has been observed that on adding turning lane in the middle, of approach road the average queue length, maximum queue length, average delay time per vehicle and emission per vehicle get considerably reduced, while there is an increase in vehicle throughput and average speed of all the vehicles. The results reported in this paper clearly shows that addition of turning lane in existing intersection can reduce congestion considerably, enhancing performance of intersections and network.
Awasthi K.K.,University of Rajasthan |
John P.J.,University of Rajasthan |
Awasthi A.,Indian Institute of Technology Roorkee |
Awasthi K.,Malviya National Institute of Technology
Micron | Year: 2013
In the present study, multi walled carbon nano tubes (MWCNTs) were synthesized using chemical vapour deposition (CVD) technique. Swiss albino mice were orally administered with single dose of 60 and 100. mg/kg body weight of purified and functionalized MWCNTs suspended in water. The mice were autopsied on 7, 14, 21 and 28 days post exposure. Liver was taken out and part of it fixed in Bouin's solution for histopathological examinations. The remaining part was immersed in cold saline, blotted dry, weighed quickly and homogenized in ice cold buffer. The activity of superoxide dismutase (SOD) and catalase (CAT) was immediately measured in the supernatant. The MWCNTs in liver led to pathological changes, including injury to macrophages, cellular swelling, unspecific inflammation, spot necrosis and blood coagulation. Estimation of SOD and CAT showed altered levels in the experimental groups as compared to controls. Therefore, MWCNTs from manufactured and combustion sources in the environment can have adverse effects on human health. © 2012 Elsevier Ltd.
Sharma S.,University of Rajasthan |
Vyas R.,Malviya National Institute of Technology |
Shrivastava S.,University of Rajasthan |
Vijay Y.K.,University of Rajasthan
Physica B: Condensed Matter | Year: 2011
We report a study on the SHI induced modifications on structural and optical properties of ZnO/PMMA nanocomposite films. The ZnO nanoparticles were synthesized by the chemical route using 2-mercaptoethanol as a capping agent. The structure of ZnO nanoparticles was confirmed by XRD, SEM and TEM. These ZnO nanoparticles were dispersed in the PMMA matrix to form ZnO/PMMA nanocomposite films by the solution cast method. These ZnO/PMMA nanocomposite films were then irradiated by swift heavy ion irradiation (Ni 8 ion beam, 100 MeV) at a fluence of 1×10 11 ions/cm 2. The nanocomposite films were then characterized by XRD, UVvis absorption spectroscopy and photoluminescence spectroscopy. As revealed from the absorption spectra, absorption edge is not changed by the irradiation but the optical absorption is increased. Enhanced green luminescence at about 527 nm and a less intense blue emission peak around 460 nm were observed after irradiation with respect to the pristine ZnO/PMMA nanocomposite film. © 2011 Elsevier B.V. All rights reserved.
Pal S.,Malviya National Institute of Technology |
Malviya R.K.,Malviya National Institute of Technology
Proceedings of the 2015 39th National Systems Conference, NSC 2015 | Year: 2015
In smart grid, residential consumers adopt different load scheduling methods to manage their power consumption with specific objectives. The conventional load scheduling methods includes direct load control and demand bidding. This paper proposes a residential scheduling algorithm. The scheduling model can be integrated with the home energy scheduler interconnected to the smart meter, which facilitates the flow of price and energy consumption information to and from the household premise. Price-based demand response is modeled through fixed pricing and dynamic pricing scheme. The objective of proposed scheduling algorithm is to achieve minimum energy consumption cost to obtain periodic load schedule. The proposed scheduling is capable of scheduling the required power consumption for appliances according to their individual power consumption pattern. The proposed objective is solved using linear integer programming. For validation purpose simulation results show that the scheduling algorithm can reflect change and impact users consumption behavior and accomplish the improved energy consumption profile. © 2015 IEEE.
Majumder A.,Malviya National Institute of Technology |
Gupta R.,Malviya National Institute of Technology |
Jain A.,Malviya National Institute of Technology
Green Chemistry Letters and Reviews | Year: 2013
In the recent years, microwave (MW) radiation is widely used as a source of heating in organic synthesis. Since the discovery of the MW heating approach, MW-assisted reaction has emerged as a new green-method in organic synthesis as it provides spectacular accelerations, higher yields under milder reaction conditions, and higher product purities, and it reduces pollution of the environment through the use of solvent-free reaction protocols. N-containing heterocycles hold a special place among pharmaceutically significant natural products and synthetic compounds needed for any developed human society. Therefore, organic chemists have been engaged in extensive efforts to produce these compounds following various greener techniques, primarily to circumvent growing environmental concerns. In this review, we discuss only the MW-assisted synthesis of N-containing heterocyclic compounds. © 2013 Copyright Arpi Majumder, Ragini Gupta and Anshu Jain.
Saxena N.,Malviya National Institute of Technology |
Sharma K.K.,Malviya National Institute of Technology
Electronics Letters | Year: 2016
The image fusion plays a crucial role in many fields such as remote sensing, medical and robotics applications. In this Letter, a novel Hilbert vibration decomposition (HVD) based image fusion scheme is proposed. The HVD decomposes the source images into instantaneous amplitude and frequency components with decreasing energy values. Amplitude components of the first and second signals in the decomposition of the source images are used to generate the fused images using appropriate fusion rule. Performance evaluation of fused images is done by computing fusion quality metrics and the fusion results are compared with other existing fusion schemes. It is seen that the performance of the proposed scheme is better as compared with the existing fusion schemes. © The Institution of Engineering and Technology 2016.
Sharma H.K.,Malviya National Institute of Technology |
Swami B.L.,Malviya National Institute of Technology
Transport Problems | Year: 2012
Road transport is a major source of air pollution particularly in towns and cities. In urban areas road traffic accounts for more than half of the emissions of nitrogen oxides, carbon mono-oxide and volatile organic compounds. This paper presents emission and energy consumption characteristics of urban roads with interrupted oversaturated flow comprising of heterogeneous traffic. Model has been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls and has been calibrated and validated for interrupted oversaturated traffic conditions. Interrupted oversaturated flow conditions prevail in urban areas of most of the developing countries. The model developed shall predict carbon mono- oxide (CO), nitrogen oxides (NOx), volatile organic compounds (VOC), carbon dioxide (CO2) and fuel and energy consumption estimates for urban roads operating under oversaturated conditions of flow. Since model provides improved estimates of speed, delay and congestion it provides better estimates of emissions and energy consumption.
Kumawat R.,Malviya National Institute of Technology |
Sahula V.,Malviya National Institute of Technology |
Gaur M.S.,Indian National Institute of Engineering
Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013 | Year: 2013
The continual downsizing of silicon technology to nanoscale has enabled the realization of ultra high density, low power chips. However, such devices are inherently unreliable, contingent and prone to soft transient errors. As the deterministic approaches fail to model their behavior, and estimate the effect of soft transient errors on nanoscale devices, many probabilistic approaches have been proposed in literatures. In this manuscript, a comparative study of many of these approaches is presented. A computational framework based on Markov Random Field, Probabilistic Transfer Matrices and Probabilistic Decision Diagram is developed using MATLAB for design and analysis of combinational circuits at nanoscale. It is observed that Bayesian Network and Probabilistic Decision Diagrams have least time complexity among these approaches. The Probabilistic Transfer Matrices and Markov Random Fields are difficult to scale as they require lot of memory and long simulation time. However, Probabilistic Transfer Matrices provide more accurate output error probability. © 2013 IEEE.