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Kannan, G.
- Nesting of White-rumped Vulture (gyps Bengalensis,) in the Segur Plateau of the Nilgiri North forest Division, Tamilnadu, India
Authors
1 Department of Zoology and Wildlife Biology, Government Arts Collage, Udhagamandalam, 643 002, Tamil Nadu, IN
Source
Indian Forester, Vol 140, No 10 (2014), Pagination: 1014-1018Abstract
Breeding sites of critically endangered white- rumped vultures (Gyps bengalensis) were studied in the Segur plateau of Nilgiris from August 2011 to August 2012. Both direct survey on foot and questionnaire survey were conducted with local inhabitants in and around the study sites. In total, 68 nests of white-rumped vulture were observed in two different locations namely Jagulikadavu and Siriyur. All the nests were recorded on two woody species namely Terminalia arjuna (66 nest) and Spondias mangifera (2 nest). The nests were recorded at a height of 18-36 mts from the ground level. Nest materials such as twigs, dry leaves, grass, thermocol and even polythene covers were observed.Keywords
White Rumped Vulture, Gyps Bengalensis, Nilgiri, Nesting
- Application of Fuzzy Controller for the Model
Authors
1 Department of Mechanical Engineering, Paavai Engineering College, Namakkal, TamilNadu, IN
2 Department of Business and Economics, University of Southern Denmark, DK
Source
Programmable Device Circuits and Systems, Vol 1, No 5 (2009), Pagination: 110-114Abstract
In day today’s scenario it is very difficult to utilize the resources optimally i.e. with optimum input parameter to produce the optimum output products using the conventional control techniques, which found fall short of providing effective means of controlling the processes when the process is complex. With the increasing demand for better quality and productivity, there is a need to automate the industrialized processes. Many processes are however complex, nonlinear, stochastic and even ill defined in some cases. In fact operation of many processes still relies on the operator’s skills due to lack of robust control methods. However, it is well known that humans, once trained or experienced, can successfully control various complex systems without having to depend on mathematical models. This fact leads to the need to develop intelligent monitoring and control schemes. In this paper an attempt has been made for intelligent optimization and control of complex process to achieve better quality of pulp manufacturing using intelligent control schemes based on fuzzy logic. The case study has been undertaken at paper industry located at southern part of India.
Keywords
Pulp Parameters, Fuzzy Logic, Paper Industry.- Diagnosis of Diabetic Retenopathy using Blood Vessel Segmentation and Pattern Recognition Techniques
Authors
1 SMIT, Chennai, IN
2 Anna University, Coimbatore, IN
Source
Digital Image Processing, Vol 4, No 13 (2012), Pagination: 685-689Abstract
This paper presents a new method for blood vessel detection in digital retinal images. This method uses a mathematical morphology scheme for pixel classification and computes segmented blood vessels by using morphological operations. The method proves especially accurate for vessel detection in DIARETDB0 and DIARETDB1 images. Its effectiveness and robustness with different image conditions, together with its simplicity and fast implementation, make this blood vessel segmentation proposal suitable for retinal image computer analyses such as automated screening for early diabetic retinopathy detection.Keywords
Diabeticretinopathy, Mathematical Morphology, Retinal Image, Optic Disc, Vessels Segmentation.- Machining Parameter Optimization of Wire Cut EDM Machine Using Taguchi's Design of Experiment (DOE)
Authors
1 Dept. of Production Engg., National Institute of Technology, Tiruchirappalli, IN