Mahamaya Technical University

Greater Noida, India

Mahamaya Technical University

Greater Noida, India
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Chopra P.,Mahamaya Technical University | Mehrotra R.,Mahamaya Technical University | Jain S.,University of Delhi
WSEAS Transactions on Communications | Year: 2011

Technological development and mass scale deployment of mobile telephony in the last 15-20 yrs has made telecom services an essential commodity for the modern age society. Affordable and wide spread availability of telecom services is giving impetus to digitalization of all the contents and leading to convergence of telecom, media and broadcasting. This phenomenon is further accelerating the demand for higher bandwidth, while at the same time there is a limitation in the availability of additional spectrum and is posing problems due to increased power consumption by telecom systems, ill effects of excessive electromagnetic radiations and scarcity of backbone for carrying telecom traffic. To overcome the above problems there is a need for defining new topologies for telecom and broadband deployment befitting the terrain and population density, particularly in the thinly populated, remote and hilly areas where making available regular power supply for operating telecom infrastructure round the clock and installing backbone infrastructure in the conventional way is impractical and not cost effective.

Mishra A.,Gautam Buddha University | Dubey A.,Affiliated to University | Shinghal S.,Mahamaya Technical University
International Journal of Environmental Science and Technology | Year: 2015

Metal biosorption on plant-based materials and agricultural wastes is a well practiced but a complex process affected by several factors. The biosorption of chromium(VI) from aqueous solution onto waste plant biomass of PortulacaOleracea was studied in the present work. Batch studies were carried out to examine the effects of process parameters. Influence of altering various process parameters was studied. The biosorption process was fast, and equilibrium was achieved in 45 min of contact time. It was found that the biosorption capacity of plant material depends on many factors mainly on solution pH, with a maximum biosorption capacity for chromium at pH 2. The biosorption kinetics was tested with pseudo-first-order and pseudo-second-order reaction, and results showed that biosorption followed pseudo-second-order rate expression. Experimental equilibrium data were applied to two different isotherm models. Isotherm tests showed that equilibrium sorption data were better represented by Langmuir model, and the sorption capacity of plant biomass was found to be 54.945 mg/g. Thermodynamic parameters like ∆G0, ∆H0 and ∆S0 were also evaluated, and it was found that the biosorption was spontaneous and endothermic in nature. Plant biomass was found to be an effective adsorbent for chromium(VI) from aqueous solution. This study indicated that plant biomass could be used as an efficient, cost-effective and environmentally safe biosorbent for the treatment of chromium containing aqueous solutions. © 2014, Islamic Azad University (IAU).

Dubey A.,Affiliated to University Meerut | Mishra A.,Gautam Buddha University | Singhal S.,Mahamaya Technical University
International Journal of Environmental Science and Technology | Year: 2014

Heavy metals are a threat to human health and ecosystem. These days, great deal of attention is being given to green technologies for purification of water contaminated with heavy metal ions. Biosorption is one among such emerging technologies, which utilizes naturally occurring waste materials to sequester heavy metals from wastewater. Cadmium has hazardous impact on living beings; therefore, its removal through green and economical process is an important task. The aim of the present study was to utilize the locally available Portulaca oleracea plant biomass as an adsorbent for cadmium removal from aqueous solution. The biomass was obtained after drying and grinding the portulaca leaves and stem. No chemical treatment was done on the adsorbent so that it remained green in a true sense. Batch experiments were performed at room temperature. The critical parameters studied were effects of pH, contact time, initial metal ion concentration and adsorbent dose on the adsorption of cadmium. The maximum adsorption was found to be 72 %. The kinetic data were found to best fit the pseudo-second-order equation. High adsorption rates were obtained in the initial 45 min, and adsorption equilibrium was then gradually achieved in about 100 min. Adsorption increased with increase in pH for a range 2 and 6. The equilibrium adsorption results closely followed both the Langmuir and Freundlich isotherms. The values of constants were calculated from isotherms. Results indicated that portulaca plant biomass could be developed as a potential material to be used in green water treatment devices for removal of metal ions. © 2013 Islamic Azad University (IAU).

Parashar A.,National Informatics Center | Radhakrishnan R.,Mahamaya Technical University
2013 15th International Conference on Advanced Computing Technologies, ICACT 2013 | Year: 2013

Today, Internet has become the primary source of communication in networks. The attack on its infrastructure poses a great challenge in its expansion. Distributed Denial of Service attacks is major source of attacks over the past decade. The goal of the attacker is to spoof the source of IP address to hide its source. Various IP traceback schemes such as Probabilistic Packet Marking, Deterministic Packet marking, TTL base Packet Marking and Hash base IP traceback schemes are proposed to trace source of the attacker. This paper discusses the Improved deterministic packet marking algorithm that is effective in taking appropriate action for the spoof packets along with identification of attacker. © 2013 IEEE.

Shukla T.,Rajiv Gandhi Technical University | Shukla P.K.,SGSITS | Prabhakar H.,Mahamaya Technical University
2014 International Conference on Signal Processing and Integrated Networks, SPIN 2014 | Year: 2014

The high speed multiplication operation plays vital part in Digital Signal Processor (DSPs) as well as in general processor. Finite Impulse Response (FIR) filter with higher speed is of great importance. FIR filter is also called convolution filter since convolution is the fundamental concept of designing FIR filter. Vedic Mathematics is based on 16 sutras. One of the sutra is Urdhava Tiryagbhyam which delivers a difference in the actual process of multiplication itself. In this paper, we proposed a high speed multiplication operation based on Urdhava Tiryagbhyam sutra to design FIR filter using window. This algorithm is implemented in MATLAB and performed in GUI. Further the execution time taken by FIR filter processor is compared by Urdhava of Vedic method and inbuilt MATLAB function. In the results, it can be seen that FIR filter based on Urdhava Tiryagbhyam sutra reduces the execution time as compared to inbuilt function of MATLAB. © 2014 IEEE.

Anand D.,Mahamaya Technical University | Singh M.P.,Dr Bhim Rao Ambedkar University | Gupta M.,HITM
Advances in Intelligent Systems and Computing | Year: 2014

Conservatory growers want steadfast amount of yields so as to precisely meet the demand. Objective of this paper is to apply rule based fuzzy inference system (RBFIS) to forecasting crop yield by using ecological parameters. Inputs to RBFIS are derived from a crop development model (temperature, humidity, water/ irrigation, available soil, fertilizers and seed quality). RBFIS has two output nodes, for the quality and the quantity of yield, with potato as a case. © Springer India 2014.

Yadav P.S.,Mahamaya Technical University | Srivastava P.,Mahamaya Technical University
Proceedings of the 2013 2nd International Conference on Information Management in the Knowledge Economy, IMKE 2013 | Year: 2013

The growing phenomenon of Social networking media with many and varied definition is becoming a necessity of individuals due to its high level of acceptability. Social networking media provides us another world of living. Peer to peer direct communication has been gradually replaced with virtual indirect communication with the help of technical devices. People are living two different lives one real physical life another virtual social life due to this newer kind of social media platform. Specialization is not a prerequisite for content generation in social networking media. Now conventional media with its limitations like access, cost have been overlooked. Now the time has arrived to utilize the recurring advantages of these social networking media in versatile and essential field of education. This paper is intended to find out the impact of social networking media on higher education for which usage pattern of popular media like Facebook, Twitter, Blogs etc. had been recorded with respect to faculty and student. Then Statistical techniques have been used to find the impact index which represents the actual force of media on higher education. This Paper also elaborates that how social networking media can be used as a educational tool and what should be kept in mind while using these media. © 2013 IEEE.

Singhal A.,Mahamaya Technical University | Saxena R.P.,Mahamaya Technical University
2012 1st International Workshop on Software Engineering Challenges for the Smart Grid, SE-SmartGrids 2012 - Proceedings | Year: 2012

Smart grid technology is progressing worldwide. Various Countries are investing to transform their traditional power grid to Smart grid. They have started realigning their organization to support a Smart grid vision. At this initial stage some software models are required to quantifiably evaluate, monitor the progress and plan for the realization of a smart grid. At present some models like Smart Grid Interoperability Maturity Model, Smart Grid Investment Model, Smart Grid Maturity Model and Smart Grid Conceptual Model are available. Smart Grid Interoperability Maturity Model is used to measure the current status of automation in the areas like transmission, distribution and demand side resources. The Smart Grid Investment Model is used in calculating different smart grid investments, along with their strategies. Smart Grid Maturity model is used in planning of utilities in smart grid transformation; prioritize the tasks and measuring their progress at every stage. Smart Grid Conceptual Model is used to analyze different standards and interoperations of smart grid development. A new proposed Smart Grid Monitoring Model will help in understanding smart grid deployment and capability within electric utility companies. © 2012 IEEE.

Shukla S.,Mahamaya Technical University | Seth K.,Mahamaya Technical University
Proceedings of the 2012 3rd International Conference on Computer and Communication Technology, ICCCT 2012 | Year: 2012

Component Based Software systems (CBSSs) are being widely used because of their various advantages. Reliability of these systems is an important issue to be focused. The approaches which have been proposed so far, does not consider that the failure of one component depend on another and also assume that each failure affects equally to the overall system while practically it is not so. The failure of one component depends on other and also each kind of failure have their different impacts on overall system. This paper presents a new and enhanced approach for Reliability analysis of CBSSs, that will give more accurate reliability prediction than the approaches being proposed so far by taking into account the facts that the component failure affects other components as well and also that the different failure have their different impact on overall system. © 2012 IEEE.

Vishwakarma V.P.,Mahamaya Technical University
International Journal of Machine Learning and Cybernetics | Year: 2013

We develop a new approach of illumination normalization for face recognition under varying lighting conditions. The effect of illumination variations is in decreasing order over low-frequency discrete cosine transform (DCT) coefficients. The proposed approach is expected to nullify the effect of illumination variations as well as to preserve the low-frequency details of a face image in order to achieve a good recognition performance. This has been accomplished by using a fuzzy filter applied over the low-frequency DCT (LFDCT) coefficients. The ‘simple classification technique’ (k-nearest neighbor classification) is used to establish the performance improvement by present approach of illumination normalization under high and unpredictable illumination variations. Our fuzzy filter based illumination normalization approach achieves zero error rate on Yale face database B (named as Yale B database in this work) and CMU PIE database. An excellent performance is achieved on extended Yale B database. The present approach of illumination normalization is also tested on Yale face database which comprises of illumination variations together with expression variations and misalignment. Significant reduction in the error rate is achieved by the present approach on this database as well. These results establish the superiority of the proposed approach of illumination normalization, over the existing ones. © 2013, Springer-Verlag Berlin Heidelberg.

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