Creating a Smart City through Internet of Things

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

Punit Rathore, James C Bezdek, Sarah M Erfani, Sutharshan Rajasegarar, Marimuthu 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

Punit Rathore, Aravinda S Rao, Sutharshan Rajasegarar, Elena Vanz, Jayavardhana Gubbi, Marimuthu 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

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

2017-09-01

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

Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu 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

Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana 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

Dheeraj Kumar, James C Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig 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

Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

2015-05-01

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

DPISVM: A Dynamic Planar One-Class Support Vector Machine for Internet of Things Environment

Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

2015-01-01

The Internet of Things realisations, such as smart city applications, generates a vast amount of data, and detecting emerging anom..

Parking Availability Prediction for Sensor-Enabled Car Parks in Smart Cities

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie

2015-01-01

The growth in low-cost, low-power sensing and communication technologies is creating a pervasive network infrastructure called the..

Pattern based anomalous user detection in cognitive radio networks

S Rajasegarar, C Leckie, M Palaniswami

2015-01-01

© 2015 IEEE. Cognitive radio (CR) provides the ability to sense the range of frequencies (spectrum) that are not utilized by the i..

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks

Sutharshan Rajasegarar, Alexander Gluhak, Muhammad Ali Imran, Michele Nati, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami

2014-09-01

Anomaly detection in resource constrained wireless networks is an important challenge for tasks such as intrusion detection, quali..

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors

Sutharshan Rajasegarar, Timothy C Havens, Shanika Karunasekera, Christopher Leckie, James C Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami

2014-07-01

Increased levels of particulate matter (PM) in the atmosphere have contributed to an increase in mortality and morbidity in commun..

High Resolution Spatio-temporal Monitoring of Air Pollutants Using Wireless Sensor Networks

Sutharshan Rajasegarar, Peng Zhang, Yang Zhou, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami

2014-01-01

Atmospheric pollutants, such as gases and particu-late matters (PM) pose a threat to human health. In particular, there has been a..

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

2014-01-01

This article describes a distributed hyperspherical cluster based algorithm for identifying anomalies in measurements from a wirel..

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring

L RASHIDI, S Rajasegarar, CA Leckie, M Nati, A Gluhak, MA Imran, MS Palaniswami

2014-01-01

Wireless sensor networks (WSNs) provide a cost-effective platform for monitoring phenomena of interest at fine spatial and tempora..

Smart Car Parking: Temporal Clustering and Anomaly Detection in Urban Car Parking

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

2014-01-01

A major challenge for modern cities is how to maximise the productivity and reliability of urban infrastructure, such as minimisin..

Internet of Things (IoT): A vision, architectural elements, and future directions

Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami

2013-09-01

Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers ..

A Pilot Study of Urban Noise Monitoring Architecture Using Wireless Sensor Networks

Jayavardhana Gubbi, Slaven Marusic, Aravinda S Rao, Yee Wei Law, Marimuthu Palaniswami

2013-01-01

Internet of Things (IoT) is denned as interconnection of sensing and actuating devices providing the ability to share information ..

Automatic Sensor drift detection and correction using Spatial Kriging and Kalman filtering

Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

2013-01-01

Internet-of-Things (IoT) is a concept referring to interconnected people and objects and smart city is one of the many application..

clusiVAT: A Mixed Visual/Numerical Clustering Algorithm for Big Data

Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C Bezdek, Timothy C Havens

2013-01-01

Recent algorithmic and computational improvements have reduced the time it takes to build a minimal spanning tree (MST) for big da..

Network architecture and QoS issues in the internet of things for a smart city

J Jin, J Gubbi, T Luo, M Palaniswami

2012-12-01

The emerging Internet of Things (IoT) that effectively integrates cyber-physical space to create smart environments will undoubted..