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Patel J.,Nirma University | Patel H.,Nirma University | Bhatt C.,Vishwakarma Government Engineering College
Soil and Water Research | Year: 2014

Accurate estimation of evapotranspiration (ETo) is a key factor in weather-based irrigation scheduling methods. To estimate ETo using the Hargreaves equation, just the data on the minimum and maximum temperature and solar radiation are required. However, this procedure cannot offer consistent accuracy for different climate conditions. To attain the accuracy, calibration of the equation constants (CH and EH) for different climate conditions have successfully been attempted by many researchers. Because these calibration procedures are lengthy and location-specific, there is a need of a generalized calibration method to make the Hargreaves equation more pertinent and effective. In this paper, fuzzy logic based calibration method for the Hargreaves equation is proposed and validated. The fuzzy inference system is developed to compute appropriate values of the constants CH and EH on the basis of past data on humidity and wind velocity of a selected location. The underlying relationship between weather conditions and the best values of the constants CH and EH are used to establish a fuzzy rule base. The performance of the method is checked at eight geographically different locations of India with diverse climate conditions. The Mean Absolute Error (MAE) in ETo values estimated by the calibrated modified Hargreaves equation and the Penman-Monteith (PM) equation is in the range of 0.3220-1.0325. It is far more lower than if the error is calculated using the original Hargreaves equation. It confirms the correctness of the calibration method for different climate conditions.

Jain R.K.,Vishwakarma Government Engineering College | Kothyari U.C.,Indian Institute of Technology Roorkee
Journal of Hydraulic Research | Year: 2010

Experimental results are presented on suspended load transport rates of clay eroded from a channel bed made up of two types of cohesive sediment mixtures. The first mixture was prepared using fine gravel and clay with the clay proportion by weight varying from 10 to 50%. In the second mixture, equal proportions of fine gravel and fine sand were mixed with clay in proportions of 10 to 50%. Based on dimensional considerations a computational procedure was developed to estimate the rate of suspended load transport of the clay fraction eroded from the cohesive sediment mixtures. In the absence of cohesion, the proposed computational method transforms to a method for computation of suspended load transport rate of the cohesionless sediment mixtures. Studies on suspended load transport rates of cohesive sediment mixtures containing gravel as presented here were not reported so far in the literature to the best of our knowledge. © 2010 International Association for Hydro-Environment Engineering and Research.

Chinchore J.B.,Vishwakarma Government Engineering College
2014 International Conference on Control, Instrumentation, Communication and Computational Technologies, ICCICCT 2014 | Year: 2014

Vehicles are generally identified by their license plates. Locating the exact area containing the license plate is an important step in any license plate recognition system. This work describes an Edge Density Based approach for locating the single/multiple license plates present in the captured frame. The proposed approach is divided into two stages: Pre-processing and Exact detection. Pre-processing involves RGB to Grayscale conversion and Contrast Enhancement. Contrast Enhancement is employed to enable the algorithm to detect license plates at night and in low light conditions. In the second stage after edge detection, Edge Density Based Region Growing is applied to highlight the regions with dense vertical edges that may contain the license plate. The highlighted regions are extracted one-by-one through connected component analysis. These are then subjected to six-different filtering tests to check whether they are license plates or not. The candidates which qualify all the tests are returned as Exact Detected License Plates. To show the effectiveness of the proposed approach a detailed evaluation is done on a database comprising of 810 images captured from India and abroad. This database contains vehicles having license plates of variable size, shape and color captured in different environmental conditions. The proposed approach detects license plates with 91% of accuracy. © 2014 IEEE.

Sheth C.,Tata Consultancy Services Ltd. | Thakker R.A.,Vishwakarma Government Engineering College
Smart Innovation, Systems and Technologies | Year: 2016

A single firewall becomes traffic bottleneck depending on network expansion, number of connections and throughput required. The present paper describes a method of interconnecting the firewalls at multiple geographic locations through Open source network. The placement of firewall and routing device along with protocols will form the proposed optimized system to improve overall network security and scalability. To evaluate the performance of the approach, authors carried out performance testing under laboratory setup. OpenBSD PF firewalls processed 360 kpps of traffic with 80 % CPU load. Further, design for site requiring higher capacity is proposed and forwarding performance of firewalls is tested with different packet sizes under laboratory traffic by changing maximum transmission unit (MTU). Dynamic extension of design is proposed to connect to other networks using dynamically routed interconnections. © Springer International Publishing Switzerland 2016.

Valera M.,Alagappa Chettiar College of Engineering And Technology | Chauhan U.,Vishwakarma Government Engineering College
2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013 | Year: 2013

Internet has penetrated into every areas of society and has also become a huge, pervasive distribution and global information service center. In a real world The only option is to capture the attention of the user and provide them with the recommendation list to match the needs of user and keep their attention in their web site. Web usage mining is a kind of data mining method that provide Smart personalized online services such as web recommendations, it is usually necessary to model users' web access behavior. Web usage mining includes three process, namely, preprocessing, pattern discovery and pattern analysis. The data reduction is achieved through data preprocessing. The aim of discovering frequent sequential access patterns in Web log data is to obtain information about the navigational behavior of the users. In the proposed system, an efficient sequential pattern mining algorithm is used to identify frequent sequential web access patterns. The access patterns are retrieved from a Graph, which is then used for matching and generating web links for recommendations. © 2013 IEEE.

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