Maharaja Surajmal Institute of Technology is located at C-4, Janakpuri in New Delhi, India. It has a campus spread over 8 acres of land. It is the engineering branch of the Maharaja Surajmal Institute and is among top 5 colleges of IPU. The college is affiliated with Guru Gobind Singh Indraprastha University. Wikipedia.
Rao M.,Maharaja Surajmal Institute of Technology |
Singh N.,Gautam Buddha University
Smart Innovation, Systems and Technologies | Year: 2014
Mobile Ad Hoc Networks (MANETs) are a self-configuring network of mobile nodes characterized by multi hops and forming a dynamic wireless topology. Efficient routing protocols are the backbone of MANETs and enable the network to support various Quality of Service (QoS) parameters. Most of the routing protocols like Ad Hoc On Demand Distance Vector (AODV) send packets via a single route. However, failure of this single route results in decline of performance of MANETs. Providing a single backup route does not solve the problem completely as the failure of the backup route again leads to lower QoS parameters. This paper proposes AODV routing protocol with nth backup route (AODV nthBR) that provides source node with more than one back up routes in case of a link failure. The proposed scheme results in better throughput, improved packet delivery fraction and lesser end to end delay. © Springer International Publishing Switzerland 2014.
Sharma J.,Jawaharlal Nehru University |
Sharma S.C.,Delhi Technological University |
Jain V.K.,Jawaharlal Nehru University |
Gahlot A.,Maharaja Surajmal Institute of Technology
Physics of Plasmas | Year: 2013
A gyrating ion beam propagating through a magnetized plasma cylinder containing K positive ions, electrons, and S F 6 - negative ions drives electrostatic lower hybrid waves to instability via Cyclotron interaction. Numerical calculations of the unstable mode frequencies and growth rates of both the unstable positive ion and negative ion modes have been carried out for the existing negative ion plasma parameters. It is found that the unstable mode frequencies of both the modes increase, with the relative density of negative ions. In addition, the growth rates of both the unstable modes also increases with relative density of negative ions. Moreover, the growth rates of both the unstable modes scale as the one-third power of the beam density. The frequencies of both the unstable modes also increase with the magnetic fields. The real part of the unstable wave frequency increases as almost the square root of the beam energy. © 2013 American Institute of Physics.
Arya Y.,Maharaja Surajmal Institute of Technology |
Kumar N.,Delhi Technological University
International Journal of Electrical Power and Energy Systems | Year: 2016
This paper proposes the automatic generation control (AGC) of an interconnected multi-area multi-source hydrothermal power system under deregulated environment. The two equal control areas with hydro and thermal generating power sources are interconnected via AC/DC parallel links. The optimal proportional integral (PI) regulators are designed for the proposed power system to simulate all power market transactions which are possible in a restructured power system. The concept of DISCO participation matrix (DPM) is harnessed to simulate the transactions. Eigenvalue study is conducted to assess the effect of AC/DC parallel links on system performance. The study is also conducted, considering appropriate generation rate constraints (GRCs) for thermal and hydro generating sources. Further, the dynamic responses of the proposed multi-source hydrothermal power system are compared with single-source thermal-thermal power system and it has been ascertained that the responses of proposed power system are sluggish with large overshoots and settling times. Finally, the study is extended to frame and implement optimal PI regulators for the first time for the AGC of a conventional two-area non-reheat thermal power system with governor dead-band nonlinearity. The superiority of the optimal PI regulators has been established by comparing the results with recently published best claimed craziness based particle swarm optimization (CRAZYPSO) and hybrid bacterial foraging optimization algorithm-particle swarm optimization (hBFOA-PSO) algorithms based PI controller tuned for the same interconnected power system. © 2015 Elsevier Ltd. All rights reserved.
Goel S.,Maharaja Surajmal Institute of Technology
2014 International Conference on Data Mining and Intelligent Computing, ICDMIC 2014 | Year: 2014
The growing need of finding efficient solutions to various optimization problems has motivated computer researchers to search for varied problem-solving methods. Nature has greatly inspired and motivated us in finding solutions to various optimization problems. Swarm Intelligence is a result of one such motivation where nature based swarm behavior of many social organisms like bees, bacteria, fireflies, cockroaches, mosquitoes is used for finding solutions to optimization problems. This paper introduces a new bio-Inspired optimization approach, namely, Pigeon Optimization Algorithm(POA) in the field of Swarm Intelligence. POA is based on the swarming behavior of passenger pigeons. The grouping and searching behavior of a flight of pigeons is used for finding the optimization solution to a given problem. The proposed algorithm demonstrates its suitability in finding the shortest path from a given source. The results obtained are compared and verified using Dijkstra's Algorithm. It has been found that the above algorithm has the potential and hence, can be used for solving different optimization problems in future. © 2014 IEEE.
Gahlawat M.,Maharaja Surajmal Institute of Technology |
Malik A.,Deenbandhu Chhotu Ram University of Science and Technology |
Bansal P.,Maharaja Surajmal Institute of Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013
Speech for realistic environment is hard to achieve. Emotion synthesizing is one way to achieve realistic and natural sounding speech. Use of right emotion in synthesized speech generates the speech which is more effective and natural for listener. The implementation of emotions is very difficult, as word "emotion" has no single definition. There have been various attempts in creating emotional speech synthesis but perfect or near to ideal system has not been developed so far. Our paper is an attempt to create emotional speech synthesizer, where we have used the emotional database recorded in our own voice. We have used unit selection and CART method to implement it. We have taken class room environment for teaching pre-school students with three emotions i.e neutral, happy, sad and tested our synthesizer with twenty listeners and found that listeners have significantly identify the emotional state of speaker. © 2013 Springer International Publishing.
Sharma S.C.,Maharaja Agrasen Institute of Technology |
Gahlot A.,Maharaja Surajmal Institute of Technology
Physics of Plasmas | Year: 2010
The nonlinear coupling between drift waves and a lower-hybrid pump wave is studied in a magnetized dusty plasma cylinder. The growth rate and mode frequencies were evaluated based on typical dusty plasma parameters. It is found that the unstable drift mode frequency increases and the growth rate decreases sharply with the relative density of negatively charged dust grains. In addition, the growth rate and unstable mode frequency depend on pump wave amplitudes. © 2010 American Institute of Physics.
Gosain A.,University of Delhi |
Mann S.,Maharaja Surajmal Institute of Technology
International Journal of Systems Assurance Engineering and Management | Year: 2014
Metrics have been popularly used to guide designers to develop quality data models. Researchers have proposed metrics for multidimensional models for data warehouses. These metrics need to be empirically validated to prove their practical utility. This paper presents the empirical validation of the metrics for multidimensional models for data warehouses at conceptual level. Quality attributes namely, understandability and efficiency are evaluated through various combinations of metrics. Multiple linear regression analysis has been used in this paper for predicting the multidimensional models quality. The results show that these metrics may be considered as solid indicators for quality of multidimensional data models. Finally, accuracy of our models in predicting the multidimensional models' quality is evaluated. © 2013 The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
Saini A.,Maharaja Surajmal Institute of Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016
Service registries are used by web service providers to publish services and registries are used by requestors to find them in an SOA (Service Oriented Architecture). The following drawbacks are presented in the main existing service registry specifications, UDDI (Universal Description, Discovery and Integration). First, only abstract, unscalable and inefficient definition of the web services publications is present in all UBR (Universal Business Registry) nodes. Second, it matches only the business name and service name given in the WSDL document to collect service information. In order to overcome these difficulties, author have proposed an efficient and effective UDDI architecture called E-UDDI, which extends the UDDI design by incorporating a QoS in additional bag in the business entity data structure. Moreover, to enable service customer for easily finding more appropriate service information, an effective service matching mechanism is adopted in the E-UDDI so that the user can take the decisions. Service discovery and publishing is improved considerably in the proposed system by means of an effective UDDI registry with flexible and more suitable service searching facility. © Springer International Publishing Switzerland 2016.
Jain S.,Indian Institute of Technology Delhi |
Chattopadhyay S.,Indian Institute of Technology Delhi |
Jackeray R.,Indian Institute of Technology Delhi |
Abid C.K.V.Z.,Indian Institute of Technology Delhi |
And 2 more authors.
Biosensors and Bioelectronics | Year: 2012
The identification of pathogenic bacteria in water is important for addressing preventive and treatment issues regarding health and safety. A highly sensitive and specific solid-phase sandwich ELISA procedure was developed for the detection of typhoid causing extremely lethal water borne pathogen Salmonella typhi (S. typhi) on modified isopore polycarbonate (PC) black membranes. PC membranes were chemically derivatized to generate amino groups on the surface maintaining their pysico-optico properties. Surface modified PC membranes were characterized by ATR-FTIR spectrometer, goniometer and scanning electron microscope. Polyclonal somatic 'O' type antibodies (Abs) against whole cell S. typhi were immobilized on them by following the amine glutaraldehyde chemistry. Antibody immobilized membranes captured S. typhi from buffer solution and this complex was detected colourimetrically using HRP labelled S. typhi Ab. A detection limit of 2×10 3cells/ml of bacteria was achieved with the modified PC membranes without any pre-enrichment step as against 10 6-10 7CFU/ml of bacteria by typical ELISA method. The assay was demonstrated to be specific for the target bacteria when compared with other cross-reactant water borne pathogens. The intra- and inter-assay precision for 10 4 and 10 5cells/ml was 5.3-7.4 and 10.3-19.7% respectively. The developed immunoassay for the detection of S. typhi is simple, easy to handle, sensitive specific, reproducible and cost effective in comparison with the commercially existing immunochromatographic assays. © 2011 Elsevier B.V..
Kaur P.,Maharaja Surajmal Institute of Technology |
Soni A.K.,Sharda University |
Gosain A.,Guru Gobind Singh Indraprastha University
Pattern Recognition Letters | Year: 2013
This paper presents an automatic effective intuitionistic fuzzy c-means which is an extension of standard intuitionisitc fuzzy c-means (IFCM). We present a model called RBF Kernel based intuitionistic fuzzy c-means (KIFCM) where IFCM is extended by adopting a kernel induced metric in the data space to replace the original Euclidean norm metric. By using kernel function it becomes possible to cluster data, which is linearly non-separable in the original space, into homogeneous groups by transforming the data into high dimensional space. Proposed clustering method is applied on synthetic data-sets referred from various papers, real data-sets from Public Library UCI, Simulated and Real MR brain images. Experimental results are given to show the effectiveness of proposed method in contrast to conventional fuzzy c-means, possibilistic c-means, possibilistic fuzzy c-means, noise clustering, kernelized fuzzy c-means, type-2 fuzzy c-means, kernelized type-2 fuzzy c-means, and intuitionistic fuzzy c-means. © 2012 Elsevier B.V. All rights reserved.