Librarians' Digital Library
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Outsourcing and Crowdsourcing : Trends in Future Libraries
No full textThe term Outsourcing is used very commonly in all service sectors which
represents to hire the services which can be possible to reduce the workload and use the time in managing the better activities in an organization. In library and information center’s (LIC’s) also the term outsourcing is visualized and many libraries hired the library services and tasks through outsourcing agencies. Recently the term “crowdsourcing” is being used which is a combination of two words ‘Crowd’ and ‘Outsourcing’, means the process of
getting work or funding to get the work done, usually online, from a crowd of people. The concept is to accept the task and outsource it to crowd of people to complete it. This concept is introduced to develop more skill sets. In this communication, efforts are made to elaborate the possible usage of crowdsourcing and its utility in LIC’s with examples and its benefits to libraries
Automatic Detection of Glaucoma in Fundus Images through Image Features
No full textThe techniques of image processing and data mining find high applications in the field of medicine. Ophthalmologists analyze the fundus images of retina for finding the presence or absence of retinal diseases viz. Glaucoma, Diabetic Retinopathy etc. Glaucoma is the leading cause for blindness. Early detection of Glaucoma helps in providing necessary treatment. Computational techniques are sought for automatic detection of the disease. Researchers detect Glaucoma either though segmentation of optic disc and disease related
structures and/or mining the extracted features. In this paper, Glaucoma is automatically detected through retinal image analysis and data mining techniques. The proposed work detect Glaucoma through color channel extraction, noise removal, contrast enhancement, overall image features viz., Statistical, Grey Level Co-occurrence Matrix (GLCM), Histogram based features extraction and classification. Retinal fundus images from High Resolution
Fundus (HRF) Image Database are used for training the classifiers. Weka 3.7.6, an open source data mining tool, is used for implementation of this research. Various classification algorithms are attempted and comparison on results of outcome of these classifiers is given in this paper. It is observed that, among the collection of classification procedures, J48Graft classification algorithm provides the best performance achieving an accuracy of 100% with
train-test of 70-30%. It is also noticeable that the classifier yields 86.67% with cross validation of folds 2, 3, 10 and 30
Indigenous Knowledge acquisition and Contemporary Innovation in science & Technology
No full textIt is difficult to exaggerate the achievements of modern science and technology
— but to tackle persisting poverty, disease and ecological imbalance in developing countries we also need to explore other routes of enquiry, and indigenous knowledge in particular. This paper deals the knowledge acquisition of local fisherman community and explores the science behind this local knowledge for linking the scientific knowledge and further research. The outcome of work currently going on at Cochin University of Science
& Technology for developing a traditional knowledge digital Library (TKDL) is
discussed here
