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Greater Noida, India

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). Source

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. Source

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. Source

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. Source

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. Source

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