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Ravi Kumar, N.
- A Novel Method for Automatic Attendance Management System
Authors
1 Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, IN
Source
Data Mining and Knowledge Engineering, Vol 9, No 3 (2017), Pagination: 62-64Abstract
Attendance management is very important in schools, colleges and offices. Manual method of taking attendance consumes time, may have some errors and it can be easily manipulated. Hence the need for automatic attendance management is increasing [3]. Out of all the available methods face recognition method is efficient [1]. Automatic attendance management using face recognition does not require human interference [2]. Hidden Markov Method of face recognition is most efficient as it was not sensitive to lightning conditions [9].
Keywords
Biometric, Face Detection, Cropping, Face Recognition, HMM Method, Data Base, GSM, SQM Classifier.- Flexural and Impact Properties of Elephant Grass Fiber Reinforced Polypropylene Composites
Authors
1 Mech. Engg. Dept., V R Siddhartha Engg. College, Vijayawada, IN
2 Mech. Engg. Dept., College of Engg., Andhra University, Visakhapatnam, IN
3 Vivek Institute of Technology, Vijayawada, IN
Source
Manufacturing Technology Today, Vol 9, No 1 (2010), Pagination: 8-12Abstract
For Environmental concern on synthetic fibers (such as glass, carbon, ceramic fibers, etc.) natural fibers such as Sisal, flax, hemp, jute, kenaf etc. are widely used. In this research work, elephant grass fiber reinforced polypropylene matrix composites have been developed by injection molding technique with varying fiber percentages (0%, 5%, 10%, 15%, 20% and 25% by weight). The developed elephant grass fiber reinforced composites were then tested for their flexural and impact properties. The results show that flexural and impact properties increases with increase in the fiber percentage; however, after a certain fiber weight percentage, the properties are decreased. Elephant grass fiber introduced in the present study could be used as an effective reinforcement for making composites, which have an added advantage of being light weight.
- Assessing Unrealized Yield Potential of Maize Producing Districts in India
Authors
1 ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad 500 059, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502 324, IN
Source
Current Science, Vol 114, No 09 (2018), Pagination: 1885-1893Abstract
The projected demand of maize production in India in 2050 is 4–5 times of current production. With the scope for area expansion being limited, there is need for enhancement of yield. This calls for identifying areas where huge unrealized yield potential exists. With a view to address the issue, the present study delineates homogeneous agro-climatic zones for maize production system in India taking district as a unit and using the factors production, viz. climate, soil, season and irrigated area under the crop. There are 146 districts in India that grow maize as a major crop. They were divided into 26 zones using multivariate cluster analysis. Study of variation in yield between districts within a zone vis-a-vis crop management practices adopted in those districts was found useful in targeting the yield gaps. These findings can have direct relevance to the maize farmers and district level administrators.Keywords
Agro-Climatic Zone, Climate, Cluster, Irrigation, Potential Yield, Yield Gap.References
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