Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Performance of Surface Modified Pineapple Leaf Fiber and Its Applications

Abstract: Development of pineapple leaf fiber (PALF)-based polymer composites has gain interests due to sustainable and environmental benefits when compared with synthetic-based non-degradable fibers. However, the hydrophilic PALF has poor interfacial bonding with the thermosetting and thermoplastic polymers which are hydrophobic. Moreover, this hydrophilic nature of PLAF leads to more moisture absorption rate, which results in degradation of overall properties. This issue can be addressed by modifying the surface of the fibers. Therefore, a comprehensive understanding of the effect of fiber surface modification on various properties and adhesion with polymers is a key for improving the performance of the PALF and its composites. In this context, the performance of surface modified PALF and its applications are elaborately discussed in this chapter.

Review on Crop Prediction Using Deep Learning Techniques

Abstract: Agriculture is the very important sector of each country, where the gross domestic pay relies on it. The outcome of the agriculture or crop management was completely based on the end yield and the market rate. The complete factor of the crop yield depends on timely monitoring and suggestion. Artificial intelligence gives a way to monitor the crop and to predict the yield in an automatized outcome. The study has been made on the deep learning and its hybrid techniques such as Artificial neural network, deep neural network and Recurrent neural network. It helped to identify how the technology of artificial intelligence helps to improve the crop yield. The research study clearly gives the idea and need of recurrent neural network and hybrid network in the field of agriculture. It also shows how it outperforms the other networks such as artificial neural network and convolutional neural network. The results were analyzed and the future perspectives were drawn with the obtained outcome.

A Survey on current key issues and status in cryptography

Abstract: Internet applications are increased and growing at very fast. Owing towards the technological development, secured way of data transmission over the internet is becoming a questioning task. Intruders hack the data and use it for their beneficial purpose. To avoid these undesirable acts, cryptography is used to ensure security of the covert and secure message. Although encrypted data is difficult to decipher, it is relatively easy to detect. Strong encryption algorithms and proper key management techniques for the systems will helps in achieving confidentiality, authentication and integrity of data. In this research work various encryption (symmetric and asymmetric) algorithms have been studied. Literature Survey has been carried out for cryptography by incorporating key papers related to data encryption based on performance metrics (Security and Time constraints). From this, the observation and future work has been identified.

Earlier glaucoma detection using blood vessel segmentation and classification

Abstract: Glaucoma is the retinal disorder which is leading cause for blindness. Glaucoma is classified into two types namely open angle glaucoma and closed angle glaucoma. Earlier detection of glaucoma will prevent the vision loss. This work is aimed to detect the glaucoma in the retinal image and classify them based on their severity. To detect the abnormality, preprocessing methods such as filtering, green channel extraction and CLAHE are proposed and for feature extraction namely optic disc ratio, active contour and blood vessel segmentation are proposed. Extracted Features are given as the input for classification based on ANFIS and SVM. Then sensitivity, specificity and accuracy of two classifiers are compared to attest an efficient diagnosis system for screening the Glaucoma disorder.