Creating a Smart City Through Internet of Things

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

P Rathore, JC Bezdek, SM Erfani, S Rajasegarar, M Palaniswami

2018-06-01

Random projection is a popular method for dimensionality reduction due to its simplicity and efficiency. In the past few years, ra..

Real-Time Urban Microclimate Analysis Using Internet of Things

P Rathore, AS Rao, S Rajasegarar, E Vanz, J Gubbi, M Palaniswami

2018-04-01

Real-time environment monitoring and analysis is an important research area of Internet of Things (IoT). Understanding the behavio..

Maximum entropy-based auto drift correction using high- and low-precision sensors

P Rathore, D Kumar, S Rajasegarar, M Palaniswami

2017-08-01

With the advancement in the Internet of Things (IoT) technologies, variety of sensors including inexpensive, low-precision sensors..

A visual-numeric approach to clustering and anomaly detection for trajectory data

D Kumar, JC Bezdek, S Rajasegarar, C Leckie, M Palaniswami

2017-03-01

This paper proposes a novel application of Visual Assessment of Tendency (VAT)-based hierarchical clustering algorithms (VAT, iVAT..

Adaptive cluster tendency visualization and anomaly detection for streaming data

D Kumar, JC Bezdek, S Rajasegarar, M Palaniswami, C Leckie, J Chan, J Gubbi

2016-12-01

The growth in pervasive network infrastructure called the Internet of Things (IoT) enables a wide range of physical objects and en..

A Hybrid Approach to Clustering in Big Data

D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, TC Havens

2016-10-01

Clustering of big data has received much attention recently. In this paper, we present a new clusiVAT algorithm and compare it wit..

High-Dimensional and Large-Scale Anomaly Detection using a Linear One-Class SVM with Deep Learning

S MONAZAM ERFANI, S Rajasegarar, S Karunasekera, C Leckie

2016-01-01

High-dimensional problem domains pose significant challenges for anomaly detection. The presence of irrelevant features can concea..

Geospatial estimation-based auto drift correction in wireless sensor networks

D Kumar, S Rajasegarar, M Palaniswami

2015-04-01

Wireless sensor networks are often deployed in large numbers, over a large geographical region, in order to monitor the phenomena ..

Security games for risk minimization in automatic generation control

YW Law, T Alpcan, M Palaniswami

2015-01-01

The power grid is a critical infrastructure that must be protected against potential threats. While modern technologies at the cen..

An information framework for creating a smart city through internet of things

J Jin, J Gubbi, S Marusic, M Palaniswami

2014-04-01

Increasing population density in urban centers demands adequate provision of services and infrastructure to meet the needs of city..