Browsing Computing Conference Papers by Date Published
Now showing items 1-20 of 153
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Smart beekeeping using IoT & ML
(2022-12-02)OUTLINE 1 Introduction 2 Intelligent beehive monitoring 3 Proposed system 4 Data collection 5 Conclusion -
Aiding forensic investigations using machine learning
(2022-11-28)Advances in machine learning find rapid adoption in many fields ranging from communications, signal processing, and the automotive industry to healthcare, law, and forensics. In this talk, I briefly focus on a couple of ... -
Bayesian active noise control
(Acoustical Society of New Zealand, 2022-10)Active Noise Control (ANC) is a challenging practical application of adaptive control systems. This paper approaches ANC from the perspective of the Bayesian Inverse Problems theory. The ANC underlying problem is initially ... -
Acoustic signal processing systems for intelligent beehive monitoring
(Acoustical Society of New Zealand, 2022)Bees, as pollinators and producers of honey and medicinal products, play a crucial role in human life and environmental sustainability. Emerging Smart Beekeeping technologies utilise various methodologies in apiology, ... -
Performance comparison of IPv6 in 802.11ac WLAN in Windows and Linux environment
(Institute of Electrical and Electronics Engineers (IEEE), 2021-12)In this paper, the performance of IEEE 802.11ac wireless LAN is analysed and compared for two operating systems, Windows, and Linux Ubuntu. Parameters measured are throughput, latency, and CPU utilization for TCP, UDP, ... -
Visualising vein pattern using deep learning for forensic investigation
(2021-12)Child sexual abuse is a severe global problem that has gained public attention in recent years. Due to the popularity of digital cameras, many perpetrators take images of their sexual activities. Even though most common ... -
Habitabilidad, Conectividad y Salud Menta [= Habitability, Connectivity and Mental Health]
(2021-11-05)No es un fenómeno nuevo la modificación de los espacios habitables para dar lugar a elementos tecnológicos. Efectos como la contaminación visual y la invasión de los espacios cotidianos son tan comunes que hasta pasan ... -
A comparative analysis of the E-Government Development Index (EGDI). July 20-23 (pp. 23-29). : IADIS Press
(IADIS Press, 2021-07)During the past two decades, the United Nations Department of Economic and Social Affairs (UN DESA) published series of reports. Each report presents global survey results that measure e-government development in the 193 ... -
Acoustic features of dysphonic speech vs normal speech in New Zealand English speakers
(Computing and Information Technology Research and Education New Zealand (CITRENZ), 2021-07)This poster presents the acoustic features of distorted speech in three dysphonic New Zealanders compared to three healthy individuals as the control group. There are a total of six subjects in this study. Voice onset time ... -
Performance comparison of IEEE802.11ac vs IEEE 802.11n WLAN in IPv6
(Springer, 2021-05)In this paper, performance of WLAN (Wireless LAN) for peer-peer and client-server networks with WPA-2 security is investigated for both IEEE802.11ac and IEEE802.11n standard. Parameters studied include throughput, and RTT ... -
Development of unified and dynamic geometric framework for modelling plant leaf spots
(2020-11)The use of computer vision and image processing techniques have proven to be effective in detecting and classifying plant diseases from symptoms, such as leaf spots or mosaic leaf patterns caused by pathogens. To identify ... -
Enhancing customers’ knowledge and decision making using augmented reality
(Asia-Pacific Society for Computers in Education (APSCE), 2020-11)Augmented reality has seen massive success in recent years as it provides an opportunity for a seamless and rich user interaction with the real world. Recent studies have shown augmented and virtual reality can play a ... -
Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning
(ISCA (International Speech Communication Association), 2020-10)Dysarthria is a speech disorder that can significantly impact a person’s daily life, and yet may be amenable to therapy. To automatically detect and classify dysarthria, researchers have proposed various computational ... -
Increasing self-compassion in young people through virtual reality
(2019-10)As part of our proposal, we aim to: provide increased practice/exposure and target a younger audience increase the chance of generalisation to everyday life employ better VR visualisation, e.g. assigning more ... -
Reducing ICT carbon footprints through adoption of green computing
(Academy of Economic Studies in Bucharest. Department of Economic Informatics and Cybernetics, 2019-05)A significant economic, environmental and sustainability topic in information and communication technology (ICT) and e-business sectors is green computing. An aspect of green informatics, green computing is gaining attention ... -
Psychoacoustically motivated active noise control at remote locations
(2019)Active noise control (ANC) is an effective way to cancel the low-frequency noise. The conventional ANC system creates the ‘zone of quiet’ by minimizing the mean square error (MSE) at the location of an error microphone. ... -
Estimating the risk of fraud against e-services
(Springer International Publishing, 2018-11)Industry is continuously developing, deploying, and maintaining e-services to transform traditional offerings. While protection of traditional services is well understood, their digital transformation often is vulnerable ... -
Tracking a person’s behaviour in a smart house
(Springer Verlag, 2018-11)This paper proposes to use machine learning techniques with ultrasonic sensors to predict the behavior and status of a person when they live solely inside their house. The proposed system is tested on a single room. A grid ... -
Bayesian parameter estimation of Euler-Bernoulli beams
(2018-11)This paper develops a statistical signal processing algorithm for parameter estimation of Euler-Bernoulli beams from limited and noisy measurement. The original problem is split into two reduced-order sub-problems coupled ... -
A novel adaptive active noise control algorithm based on Tikhonov regularisation
(2018-11)This paper proposes a novel adaptive active noise control algorithm based on Tikhonov regularization theory. A regularized cost function consisting of the weighted sum of the most recent samples of the residual noise and ...
