National Institute Of Technical Teachers Training & Research
National Institute Of Technical Teachers Training & Research
Misra A.K.,ITM University |
Pachouri A.,ITM University |
Kaur A.,National Institute of Technical Teachers Training & Research
Water Resources Management | Year: 2015
Integrated watershed management has been adopted worldwide as best management practices, can minimise the climate change impact on agricultural production and fresh water resources. Critical elements for making best watershed management systems, like precise locations and designs of recharge structures, correct location of check dams within the watershed to ensure the optimum utilization have been discussed. Best Management Practices (BMP) for agricultural watershed management that includes integrated and consortium approach has been proposed. Case study demonstrates that the construction of artificial recharge structures like check dams on the upstream of the tributaries not only causes additional recharge but is also useful in improving the ground water quality. Study also proposes a watershed performance assessment model for identifying the parameters in the watershed, whose precise characterization is essential for the success of any watershed management program. A methodology has been develop for the evaluation of a complete watersheds model parameterization and performance scores has been assigned on the basis of parameter impact on output. The analysis and methodology of the proposed work can extremely useful for the practice of evaluation and effective implementation of watersheds. © 2015, Springer Science+Business Media Dordrecht.
Saini S.S.,CSIR - Central Electrochemical Research Institute |
Pattnaik S.S.,National Institute Of Technical Teachers Training & Research |
Sardana H.K.,CSIR - Central Electrochemical Research Institute
International Journal of Image and Data Fusion | Year: 2014
High-precision avionics display system like head-up display (HUD) are used to display the flight information of several selectable modes in the collimated form so that the pilot can view this information superimposed on his view of the outside world without changing his line of sight or visual accommodation. The information display symbology formed on the HUD is governed by the horizontal and vertical deflection signals as per the X- and Y-coordinates of the reticles which are synchronised with the blanking signal. Being an electro-opto-mechanical display, these displays are prone to the geometric distortions. This research work aims at establishing high positional accuracy of the display symbology by using a geometric distortion correction system (DCS) for stroke-based avionics display system based on curve fitting. The rectification is applied to images of three different HUDs, with respect to their placement of reticles, aiming to test residuals in X- and Y-axes. The developed system features simple approach, cheap expenses, high accuracy and its capability to provide real-time and accurate coordinates of the image displayed on the HUD. © 2014, © 2014 Taylor & Francis.
Tiwari K.,Birla Institute of Technology and Science |
Kaushik V.D.,Uttar Pradesh Technical University |
Gupta P.,National Institute Of Technical Teachers Training & Research
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016
Any well known fingerprint matching algorithm cannot provide 100% accuracy for all databases. One should explore the possibility of fusion of multi-algorithms to achieve better performance on such databases. One of the major challenges is to design a fusion strategy which is both adaptive and improving with respect to the candidate database. This paper proposes an adaptive ensemble using statistical properties of two well known state-of-the-art minutiae based fingerprint matching algorithms to achieve (1) improvement on fingerprint recognition benchmark, (2) outperform on multiple databases. Experiments have been conducted on two databases containing multiple fingerprint impressions of 140 and 500 users. One of them is widely used publicly available databases and another one is our in-house database. Experimental results have shown the significant gain in performance. © Springer International Publishing Switzerland 2016.
Podder A.,National Institute Of Technical Teachers Training & Research |
Bhadra T.,National Institute Of Technical Teachers Training & Research |
Chatterjee R.,National Institute Of Technical Teachers Training & Research
Advances in Intelligent Systems and Computing | Year: 2016
User-interface plays an important role in e-learning. Good and user-friendly interfaces help in better understanding of the system and reduces the cognitive load of a learner during the process of learning. The advancement in mobile technology has influenced a number of users to learn using mobile and handheld device that provides not only flexibility of learning but also allow them for learning at any-time and any-where or on the go. This has already created a requirement of a user-interface design framework for mobile devices that can help the designers to design e-learning interface for the same. This paper proposes a user-interface design framework after understanding of the requirements at the level of a user for the mobile and handheld devices. © Springer India 2016.
Goyal N.,National Institute of Technical Teachers Training & Research |
Aggarwal N.,Panjab University |
Dutta M.,National Institute of Technical Teachers Training & Research
Advances in Intelligent Systems and Computing | Year: 2015
Bug Triaging is an important part of testing process in software development organizations. But it takes up considerable amount of time of the Bug Triager, costing time and resources of the organization. Hence it is worth while to develop an automated system to address this issue. Researchers have addressed various aspects of this by using techniques of data mining, like classification etc. Also there is a study which claims that when classification is done on the data which is previously clustered; it significantly improves its performance. In this work, this approach has been used for the first time in the field of software testing for predicting the priority of the software bugs to find if classifier performance improves when it is preceded with clustering. Using this system, clustering was performed on problem title attribute of the bugs to group similar bugs together using clustering algorithms. Classification was then applied to the clusters obtained, to assign priority to the bugs based on their attributes severity or component using classification algorithms. It was then studied that which combination of clustering and classification algorithms used provided the best results. © Springer International Publishing Switzerland 2015.
Chellatamilan T.,Arunai Engineering College |
Ravichandran M.,Sathiyabama University |
Suresh R.M.,RMK Engineering College |
Kulanthaivel G.,National Institute of Technical Teachers Training Research
IET Conference Publications | Year: 2011
The Apply of data mining technique in to domain specific applications is being drastically improved more and more by the researchers to improve the best decision making recommendation systems like e-learning, e-commerce and etc., In this research work we discuss how the datamining techniques will improve the learning style adaptation, learning content organisation and learning objects recommendations based on the instantaneous data collected through the web based learning management system like moodle. This paper focus the techniques like data classification and clustering techniques to predict the learning style of the peer learners based on the activities they have completed in the teaching learning activity of a particular course. The Expermental results shows the clear snopshot of the analysis.
Chand H.,Panjab University |
Gill G.S.,Panjab University |
Roy U.N.,National Institute of Technical Teachers Training Research |
Virk P.,Panjab University
International Journal of Applied Environmental Sciences | Year: 2010
The natural spring water and rainwater water are the main source of water for drinking as well as for irrigation in selected watersheds of Himachal Pradesh. The watershed development projects are mainly concerned with conservation of these water resources by rainwater harvesting structures and water harvesting tanks. But they hardly assess the quality of water. Here an attempt is made to check the physico - chemical properties of surface water from these selected watersheds. The samples were analyzed for the pH, EC and TDS and major ions like HCO3 2-, CO3 2-, Ca2+, Mg2+, & Cl-, were analyzed by titration; NO3 -, SO4 2-, PO4 3-, and F- by colorimeter, Na+ and K+ were measure by flame photometer. These parameters were compared with standard limits prescribed by IS, 1983; 1991 & WHO, 1984 and were found to be within the safe limit suitable for drinking purpose. For irrigation purpose the important constituents that influence the water quality for irrigation are total dissolved solids (TDS), electrical conductivity (EC), sodium absorption ratio (SAR), residual sodium carbonate (RSC), sodium percentage (Na%) based on U. S. Salinity Laboratory Staff, 1954 & Wilcox, 1955 for water class parameters. © Research India Publications.
PubMed | Advanced Materials and Processes and National Institute of Technical Teachers Training & Research
Type: | Journal: International journal of medicinal chemistry | Year: 2014
The present study deals with the estimation of the anti-HIV activity (log1/C) of a large set of 107 HEPT analogues using molecular descriptors which are responsible for the anti-HIV activity. The study has been undertaken by three techniques MLR, ANN, and SVM. The MLR model fits the train set with R (2)=0.856 while in ANN and SVM with higher values of R (2) = 0.850, 0.874, respectively. SVM model shows improvement to estimate the anti-HIV activity of trained data, while in test set ANN have higher R (2) value than those of MLR and SVM techniques. R m (2) = metrics and ridge regression analysis indicated that the proposed four-variable model MATS5e, RDF080u, T(OO), and MATS5m as correlating descriptors is the best for estimating the anti-HIV activity (log 1/C) present set of compounds.