National Institute of Technology Calicut

About: National Institute of Technology Calicut is a education organization based out in Kozhikode, Kerala, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 3627 authors who have published 4638 publications receiving 50830 citations. The organization is also known as: Calicut Regional Engineering College & NIT Calicut.

Comprehensive bibliometric mapping of publication trends in the development of Building Sustainability Assessment Systems

Abstract: Sustainability assessment of buildings gained importance during the early 2000s and is still topical. Numerous building sustainability assessment systems exist worldwide, and there are several systematic reviews of sustainability assessment systems for buildings, especially on Green Building Rating Systems. However, only a trickle of studies documented and summarized the published literature on the development of assessment systems for measuring building sustainability. The current study employs bibliometric analysis to bring out the publication trends on the topic using the open-source R-package tool ‘bibliometrix’. The tool translates the data extracted from online database to various visualized forms. Considering the wider coverage, the current study identified articles from Scopus database and analyzed the annual publication trends, author contribution, citation count of articles, contribution of various countries, contribution of various universities, trending scientific journals and popular keywords. This article also furnishes a snapshot of co-occurrence of author keywords, collaboration between different authors, countries and institutions, co-citation of articles and the historiography based on the data extracted from Scopus. The article concludes with recommendations for future research.

Link Reliability Based Greedy Perimeter Stateless Routing for Vehicular Ad Hoc Networks

Abstract: We propose an enhancement for the well-known greedy perimeter stateless routing (GPSR) protocol for vehicular ad hoc networks (VANETs), which exploits information about link reliability when one-hop vehicles are chosen for forwarding a data packet. In the proposed modified routing scheme, a tagged vehicle will select its one-hop forwarding vehicle based on reliability of the corresponding communication link. We define link reliability as the probability that a direct link among a pair of neighbour vehicles will remain alive for a finite time interval. We present a model for computing link reliability and use this model for the design of reliability based GPSR. The proposed protocol ensures that links with reliability factor greater than a given threshold alone are selected, when constructing a route from source to destination. The modified routing scheme shows significant improvement over the conventional GPSR protocol in terms of packet delivery ratio and throughput. We provide simulation results to justify the claim.

AyurLeaf: A Deep Learning Approach for Classification of Medicinal Plants

Abstract: Ayurvedic medicines have a vital role in preserving physical and mental health of human beings. Identification and classification of medicinal plants are essential for better treatment. Lack of experts in this field makes proper identification and classification of medicinal plants a tedious task. Hence, a fully automated system for medicinal plant classification is highly desirable. This work proposes AyurLeaf, a Deep Learning based Convolutional Neural Network (CNN) model, to classify medicinal plants using leaf features such as shape, size, color, texture etc. This research work also proposes a standard dataset for medicinal plants, commonly seen in various regions of Kerala, the state on southwestern coast of India. The proposed dataset contains leaf samples from 40 medicinal plants. A deep neural network inspired from Alexnet is utilised for the efficient feature extraction from the dataset. Finally, the classification is performed using Softmax and SVM classifiers. Our model, upon 5-cross validation, achieved a classification accuracy of 96.76% on AyurLeaf dataset. AyurLeaf helps us to preserve the traditional medicinal knowledge carried by our ancestors and provides an easy way to identify and classify medicinal plants.

Microwave-assisted hydrothermal synthesis of UV-emitting carbon dots from tannic acid

Abstract: We report herein an easy, facile, economic and solution-based synthesis protocol for UV-photoluminescent carbon dots (CDs) using tannic acid, an environmentally benign, in-expensive and readily available precursor, following a microwave-assisted hydrothermal route. The as-synthesized CDs exhibited excellent aqueous solubility and displayed excitation-wavelength independent emission at 370 nm. The CDs were explored for highly selective and extremely sensitive detection of picric acid in aqueous media exploiting luminescence quenching. The detection limit of the as-synthesized CDs towards picric acid was about 0.6 pM, and the linear range extends from 0 to 10 nM.

Microstructural transition of aqueous CTAB micelles in the presence of long chain alcohols

Abstract: The effect of long chain alcohols (C9OH–C12OH) on the micellar properties of CTAB in the presence of an inorganic salt, KBr, has been systematically studied by viscometry, rheology, DLS and the direct imaging technique, i.e. cryo-TEM. The molar ratio of CTAB/KBr was fixed at 1:1 and the alcohol concentration ranged from 0.005 to 0.03 M. With an increase in concentration of the alcohol, the Mitchell–Ninham surfactant parameter, Rp, increases, which favours micellar growth. The viscosity results showed a maxima followed by a drop (regions I–III). In region I, the samples were less viscous and have a propensity to form short cylindrical micelles. The rheological response of the samples in the plateau region (region II) showed strong viscoelasticity, indicating the presence of worm-like micelles, which was confirmed by cryo-TEM and DLS analysis. A drop in viscosity (region III) was observed at higher concentrations of alcohol. The observed increase in the apparent hydrodynamic diameter of the micelles with the concentration of alcohol confirmed the alcohol induced micelle growth. An unusual temperature response was another feature noticed for the C9OH samples in region III, and the cryo-TEM investigation revealed the presence of vesicles, which are nearly absent in C10–C12OH. Therefore, the results suggest a strong dependence of the surfactant morphology on the solubilisation site of the added alcohol, which could be further affected by temperature.