Muttukrishnan Rajarajan

TL;DR: In this article, the effects of the pitch-distance, hole diameter, structural asymmetry, air hole arrangement and the operating wavelength on the modal birefringence of photonic crystal fibers with equal and unequal circular air holes were investigated.

TL;DR: This scheme is the first scheme that authenticates gesture-typing interactions in a word-independent format and relies on groupings of features extracted from the word gesture after it has been reduced to parts common to all gestures.

TL;DR: A comparative study using five learning models applied to activity recognition, highlighting their strengths and weaknesses under different challenging conditions shows that Support Vector Machine and Evidence-Theoretic K-nearest Neighbors in comparison to the learning methods Probabilistic Neural Network, K-Nearest Neighbor (KNN) and Naive Bayes performed better in correctly recognizing the smart home activities.

TL;DR: An activity recognition approach that integrates the distance minimization (DM) and probability estimation (PE) approaches to improve the reliability of recognitions is proposed and evaluated using five publicly available smart home datasets.

TL;DR: It is shown that CCDS provides considerably better performance than existing protocols in most operational scenarios, and some performance-improving guidelines for CDS-based topology discovery are identified and utilized to propose a new protocol, clique-based CDS discovery (CCDS).