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Lachhmangarh Sīkar, India

Sharma V.K.,Sobhasaria Engineering College | Singh R.P.,Babasaheb Bhimrao Ambedkar University
Journal of Environmental Biology | Year: 2011

Field experiments were conducted to study the effect of organic matrix based slow release fertilizers (SRFs) on plant growth, nitrate assimilation and seed yield of Brassica juncea L. cv. pusa bold. The agro-waste materials like cow dung, clay soil, neem leaves and rice bran were mixed together in 2:2:1:1 ratio and used as organic matrix for the immobilization of chemical fertilizer nutrients with commercial grade saresh (Acacia gum, 15% solution) as binder. Different fertilizer treatments were organic matrix based slow release fertilizers, SRF-I (542.0 kg ha -1); SRF-II (736.5 kg ha -1) and chemical fertilizer combinations, boron (3 kg ha -1)+sulphur (15 kg ha -1)+nitrogen (80 kg ha -1) and boron (3 kg ha -1) + sulphur (15 kg ha -1)+nitrogen (80 kg ha -1)+phosphorus (15 kg ha -1)+potassium (100 kg ha -1). Organic matrix based SRF-II released ammonium up to 50-d in wet soil under laboratory conditions which showed maximum retention of the nutrients. A very significant increase in plant growth, nitrate assimilation and seed yield was recorded in organic matrix based SRF-II applied plants. The maximum percent increase in biomass production was observed with organic matrix based SRF-II (increase of 65.8% in root fresh weight, 38.0% in root dry weight, 45.9% in leaf fresh weight plant-1 and 27.5 % in leaf dry weight plant -1 in 60-d old plants). It also increased the acquisition and assimilation of nitrate from the plant's rhizosphere which was evident by 45.6% increase in nitrate, 27.5% in nitrite and 11.7% in nitrate reductase activity (NRA) in leaves of 45-d old plants over control. The organic matrix based SRF-II significantly increased the seed yield by 28% in Indian mustard. Cost analysis revealed that this formulation is cost effective as it is based on agro waste materials. © 2011 Triveni Enterprises. Source


Agarwal D.,Motilal Nehru National Institute of Technology | Kishor N.,Motilal Nehru National Institute of Technology | Raghuvanshi A.S.,Sobhasaria Engineering College
IET Wireless Sensor Systems | Year: 2015

The reliable operation of offshore wind farms requires suitable real-time, automated and remote structural-health monitoring of the wind farm using wireless sensor networks (WSNs) for ensuring consistent power supply to the grid. This study presents a novel WSN packet-size reduction technique using flexible thresholds for real-time fault prediction in wind farms which is an extension to the authors work proposing application-specific network-lifetime enhancing tri-level clustering and routing protocol for increasing the network lifetime. The selection of flexible threshold utilises the degree of correlation between data samples collected at different times of the day. Using combination-summation and flow direction of received data, accurate fault prediction is achieved. The method is compared with the primitive mean method. The proposed method flexible threshold selection and fault prediction (FTSFP) provides a simple means for predicting real-time fault occurrences in the towers and helps in reducing the message size considerably, thereby increasing the network lifetime of the system nearly by ten times. The results confirm that FTSFP has better fault-prediction accuracy over the existing method. © The Institution of Engineering and Technology 2015. Source


Srivastava S.,Sobhasaria Engineering College
2013 International Conference on Intelligent Systems and Signal Processing, ISSP 2013 | Year: 2013

In this paper, we consider experiential evidences in support of a set of object-oriented software metrics. In particular, we look at the object oriented design metrics of Chidamber and Kemerer, and their applicability in different application domains. Many of the early quality models have followed an approach, in which a set of factors that influence quality and relationships between different quality factors, are defined, with little scope of measurement. But the measurement plays an important role in every phase of software development process. The work, therefore, emphasizes on quantitative measurement of different quality attributes such as reusability, maintainability, testability, reliability and efficiency. With the widespread use of Object Oriented Technologies, CK metrics have proved to be very useful. So we have used CK metrics for measurement of these qualities attributes. The quality attributes are affected by values of CK metrics. We have derived linearly related equations from CK metrics to measure these quality attributes. Different concepts about software quality characteristics are reviewed and discussed in the Dissertation. We briefly describe the metrics, and present our empirical findings, arising from our analysis of systems taken from a number of different application domains. Our investigations have led us to conclude that a subset of the metrics can be of great value to software developers, maintainers and project managers. We have also taken an empirical study in Object Oriented language C++. © 2013 IEEE. Source


Kumar V.,Sobhasaria Engineering College | Agarwal S.K.,Sobhasaria Engineering College
2012 IEEE International Conference on Signal Processing, Computing and Control, ISPCC 2012 | Year: 2012

In this paper new wavelet bi-orthogonal filter coefficients for wavelet decomposition and reconstruction of image are introduced for better image compression, when the image is compressed by using these filter coefficient in DWT-SPIHT schema then it perform better than DWT-SPIHT schema with wavelet 9/7 filter and wavelet 5/3 filter. The compression result by using these filter coefficient show that the reconstructed image has higher PSNR and low MSE than wavelet 9/7 filter and wavelet 5/3 filter. © 2012 IEEE. Source


Saket R.K.,Banaras Hindu University | Kaushik W.C.S.P.,Sobhasaria Engineering College | Singh C.G.,Sam Higginbottom Institute of Agriculture, Technology and Sciences
Studies in Computational Intelligence | Year: 2011

The Word "Biorhythm" is derived from the Greek word "Bios" which means life and "Rhythm" which means flowing with a regular movement. Biorhythm theory uses mostly scientific methods to chart the rhythms or cycles that affect the internal functioning of the body and of human behavior. This is particularly applicable to the physical, emotional and intellectual or mental abilities. Biorhythm theory states that, at the moment of birth three statistical cycles are initiated and these will recur consistently throughout life. This chapter proposes an investigation of the reasons for human error as a contributing factor in flying accidents. Physical factors such as man machine interactions involved in flying mistakes and a taxonomic approach to errors has been proposed in this chapter, in order to avoid accidents. This chapter presents a new methodology based on a probabilistic approach for biorhythmic analysis in an attempt to prevent aviation accidents. The methodology has been developed using a Gaussian distribution technique for evaluation of the aviation system reliability considering the biorhythmic effects on the pilot. Normal distributed data from the US air force were tested and analyzed. These were based on the performance ability of pilots and the peak demand of the performance using a Gaussian distribution approach. Validation of an aircraft accident due to biorhythm is explained in this chapter with consideration of the peak performance demand and differing standard deviations in the performance ability of each pilot. A new curve named the Incident - Duration Curve has been introduced. This is based on a biorhythmic analysis of Indian and US air force data. The area under normal distribution curve of the US air force data represents the successful performance ability zone of the Pilot. The accident zone is the area of operation during which the Performance Demand exceeds the Performance Ability of the particular aircraft pilot. Operation within the zone of the normal distribution curve is successful owing to ability and fitness of the particular pilot. Failure probabilities considering Peak Performance Demand and pilot's ability have been evaluated using a Gaussian distribution approach. A Safety Factor Concept is also given in this chapter. This has been done so as to include biorhythmic analysis in the attempt to avoid aviation accidents. A Stepped Incident-Duration Curve has been utilized in order to evaluate the particular pilot's reliability when using the system. The complete aviation system was evaluated by using Simpson's 1/3rd rule. © 2011 Springer-Verlag Berlin Heidelberg. Source

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