Gregory O'Hare

Gregory O'Hare
Trinity College Dublin | TCD · School of Computer Science and Statistics

B.Sc.(Hons.), M.Sc., Ph.D, FICS, FBCS, CITP, C.Eng

About

539
Publications
115,553
Reads
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7,469
Citations
Citations since 2016
78 Research Items
3462 Citations
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20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
Introduction
Gregory O'Hare is Professor of Artificial Intelligence & Head of the School of Computer Science and Statistics at Trinity College Dublin. Gregory undertakes research in Artificial Intelligence, Ubiquitous Computing and Internet of Things..
Additional affiliations
September 2021 - present
Trinity College Dublin
Position
  • Head of School of Computer Science and Statistics & Professor of Artificial Intelligence
January 1996 - October 2015
University College Dublin
Position
  • Associate Professor & Director of the Earth Institute
January 1996 - February 2017
University College Dublin
Position
  • Professor

Publications

Publications (539)
Preprint
Full-text available
Quality data is crucial to dependable, trustworthy data analytics and data-driven decision-making in IoT-based applications. Data pre-processing and data cleaning are the only considered strategies for data quality assurance. Whilst these have provided usable results, within IoT, a problem still exists. Data quality issues within IoT proliferate th...
Article
Full-text available
In recent years, renewable energy, especially photovoltaic (PV) generation, has been widely applied in commercial and residential areas, forming the structure of regional microgrids (MG). On the other hand, as large-scale electric vehicles (EVs) are connected to the regional MG, their disordered charging and discharging will enable extremely bad ef...
Preprint
Full-text available
Continued development of communication technologies has led to the widespread Internet of Things (IoT) integration into various domains, including health, manufacturing , automotive and precision agriculture. This has further led to the increased sharing of data amongst such domains to abet innovation. Most of these IoT deployments, however, are ba...
Preprint
Full-text available
The Internet of Things (IoT) facilitates real-time decision support within smart environments. Augmented Reality (AR) allows for the ubiquitous visualization of IoT-derived data, and AR visualization will simultaneously permit the cognitive and visual binding of information to the physical object(s) to which they pertain. Essential questions exist...
Article
Full-text available
The Internet of Things (IoT) provides unprecedented opportunities for the access to and conflation of a myriad of heterogeneous data to support real-time decision-making within smart environments. Augmented Reality (AR) is on cusp of becoming mainstream and will allow for the ubiquitous visualization of IoT derived data. Such visualization will sim...
Article
Photovoltaic (PV) power is progressively being subsumed into power grids. As a consequence, reliable PV power forecasting has become essential in order to ensure the optimal functioning of the power grid. Neural networks remain the dominant prediction model utilized. Conventional neural network forecasting models are wholly dependent upon offline d...
Article
Full-text available
Background: Citizen science offers an attractive paradigm for addressing some of the complex problems facing society. However, translating the paradigm’s potential into meaningful action and sustainable impact remains a formidable challenge. Historically, the citizen science landscape was fractured into silos of activities; nonetheless, it has demo...
Article
Full-text available
Accurate and reliable real-time urban traffic management can benefit urban citizens’ daily life by reducing stress, travel time and carbon footprint. The provision of reliable and accurate traffic information has however proven to be a major challenge in intelligent transportation systems. Citizens carrying smartphones can be exploited as an import...
Preprint
Full-text available
pre>The paper discusses practices and patterns for the development of maintainable and testable software using the React and Spring Boot frameworks. There have been many textbooks written on both React and Spring Boot, but little in the way of comprehensive research studies and critical analyses in the literature. The paper draws from a well-known...
Preprint
pre>The paper discusses practices and patterns for the development of maintainable and testable software in relation to the development applications that use the React and Spring Boot frameworks. There have been many textbooks written on both React and Spring Boot, but little in the way of comprehensive research studies and critical analyses in the...
Preprint
pre>The paper discusses practices and patterns for the development of maintainable and testable software in relation to the development applications that use the React and Spring Boot frameworks. There have been many textbooks written on both React and Spring Boot, but little in the way of comprehensive research studies and critical analyses in the...
Preprint
pre>The paper discusses practices and patterns for the development of maintainable and testable software using the React and Spring Boot frameworks. There have been many textbooks written on both React and Spring Boot, but little in the way of comprehensive research studies and critical analyses in the literature. The paper draws from a well-known...
Article
Full-text available
Fecal pollution of surface water may introduce bacteria and bacteriophages harboring antibiotic resistance genes (ARGs) into the aquatic environment. Watercourses discharging into the marine environment, especially close to designated bathing waters, may expose recreational users to fecal pollution and therefore may increase the likelihood that the...
Article
Full-text available
Small urban streams discharging in the proximity of bathing waters may significantly contribute to the deterioration of water quality, yet their impact may be overlooked. This study focuses on the Elm Park stream in the city of Dublin that is subject to faecal contamination by unidentified sources. The aim of the study was to identify a minimum num...
Article
Full-text available
Bathing water quality may be negatively impacted by diffuse pollution arising from urban and agricultural activities and wildlife, it is therefore important to be able to differentiate between biological and geographical sources of faecal pollution. crAssphage was recently described as a novel human-associated microbial source tracking marker. This...
Article
Full-text available
Leaf wetness is an important input parameter into disease prediction models. The use of machine learning algorithms for the classification of leaf wetness measurements from 30 meteorological stations in North Western Europe during the period of January 2014 to October 2018 was assessed in this study. The accuracy of the empirical models utilised wi...
Article
Full-text available
Growth stage determination plays an important role in yield prediction and cereal husbandry decision-making. Conventionally, crop growth stage determination is performed manually by means of visual inspection. This paper investigates wheat and barley growth stage estimation by classification of proximal images using convolutional neural networks (C...
Article
Full-text available
This paper presents a survey of image processing techniques proposed in the literature for extracting key cereal crop growth metrics from high spatial resolution, typically proximal images. The descriptive crop growth metrics considered are: crop canopy cover, above ground biomass, leaf area index (including green area index), chlorophyll content,...
Article
Full-text available
Engineering sustainable cyber-physical-social systems demand a transdisciplinary approach. Within an arbitrary domain, many systems, including those of the physical and cyber categories, may already be in-situ; however, heterogeneity permeates such systems, for example, differing protocols, data formats, among others. Heterogeneity is not a deliber...
Article
Full-text available
Smart vehicles use sophisticated sensors to capture real-time data. Due to the weak communication capabilities of wireless sensors, these data need to upload to the cloud for processing. Sensor clouds can resolve these drawbacks. However, there is a large amount of redundant data in the sensor cloud, occupying a large amount of storage space and ne...
Article
Full-text available
Varying the rate of application of agronomic inputs generates many positive economic and environmental impacts. Increasingly, technologies that enable variable rate application are becoming a distinctive feature of precision agriculture. Nonetheless, a prerequisite, and crucial challenge, remains the optimal and operational designation of distinct...
Article
Full-text available
Existing research recognizes the critical role of quality data in the current big-data and Internet of Things (IoT) era. Quality data has a direct impact on model results and hence business decisions. The growth in the number of IoT-connected devices makes it hard to access data quality using traditional assessments methods. This is exacerbated by...
Conference Paper
Full-text available
The Platform for Atlantic Geohazard Risk Management (AGEO) is a new project co-nanced under the Interreg Programme for the Atlantic Area which aims to launch ve Citizens' Observatory pilots on geohazards according to regional priorities: Citizens' observatory on rockfalls and rockfall-triggers in the Canary Islands, Spain Peat-slides and peat massm...
Preprint
Recent developments in Internet of Things have heightened the need for data sharing across application domains to foster innovation. As most of these IoT deployments are based on heterogeneous sensor types, there is increased scope for sharing erroneous, inaccurate or inconsistent data. This in turn may lead to inaccurate models built from this dat...
Preprint
Full-text available
Internet of Things devices and data sources are seeing increased use in various application areas. The proliferation of cheaper sensor hardware has allowed for wider scale data collection deployments. With increased numbers of deployed sensors and the use of heterogeneous sensor types there is increased scope for collecting erroneous, inaccurate or...
Article
Full-text available
Activities of Daily Living systems (ADLs) and the User Interface (UI) design principles used to implement them empowers the elderly to continue living a normal daily routine. The daily monitoring of activities for most Assisted Living (AL) systems demands/necessitates accurate daily user interaction, and the design principles for these systems ofte...
Article
Full-text available
Holistic information systems for climate-smart agriculture demands the seamless integration of various categories of climate, meteorological and weather data. Any actor in the agricultural value chain may harness weather forecasts at the short and medium-range, local weather history, and prevailing climatic conditions, to inform decision-making. We...
Article
Full-text available
Antibiotic resistance represents the greatest challenge to healthcare systems around the world. As antibiotic resistance genes (ARGs) are shed in faeces, many studies have focused on how wastewater effluent contributes to ARG pollution in rivers. However, small urban streams and bathing waters not impacted by treated wastewater have received little...
Article
The ever increasing proportion of photovoltaic (PV), which is, in effect, a random and intermittent energy source, makes PV power forecasting increasingly important for power grid stability. Artificial neural networks (ANN) have become one of the commonly utilized methods in PV power prediction. Since there is no ideal theoretical guidance as yet o...
Book
This book constitutes the refereed post-conference proceedings of the 8th International Conference on Mobile Communication and Healthcare, MobiHealth 2019, held in Dublin, Ireland, in November 2019. The 26 revised full papers were reviewed and selected from 45 submissions and are organized in topical sections on mobility and real-time assessment, r...
Chapter
Full-text available
This paper describes an agent programming language agnostic implementation of the Multi-Agent MicroServices (MAMS) model - an approach to integrating agents within microservices-based architectures. In this model, agents, deployed within microservices, expose aspects of their state as virtual resources that are externally accessible using REpresent...
Article
Full-text available
Establishing food security remains a global challenge; it is thus a specific objective of the United Nations Sustainable Development Goals for 2030. Successfully delivering productive and sustainable agricultural systems worldwide will form the foundations for overcoming this challenge. Smart agriculture is often perceived as one key enabler when c...
Article
Rough K-Means (RKM) is an efficient clustering algorithm for overlapping datasets, and has captured increasing attention in recent years. Rough k-means algorithms in the main focus on the further description of uncertain objects located in boundary regions in order to improve the performance. However, most available RKM algorithms fail to pay atten...
Conference Paper
Full-text available
This paper explores the intersection between microservices and Multi-Agent Systems (MAS), introducing the notion of a new approach to building MAS known as Multi-Agent MicroServices (MAMS). Our approach is illustrated through a worked example of a Vickrey Auction implemented as a microservice.
Article
With the rapid development of China’s economy, the scale of the city has been continuously expanding, industrial enterprises have been increasing, the discharge of multiple pollutants has reached the top of the world, and the environmental problems become more and more serious. The air pollution problem is particularly prominent. Air quality has be...
Article
Full-text available
Disaster Risk Reduction (DRR) has become the predominant strategy for pre‐emptively countering the havoc threatened by natural hazards, complementing traditional disaster management and recovery activities. An important component of DRR activities is community involvement, imbuing the community with a sense of ownership of the risk reduction proces...
Conference Paper
Full-text available
As the world's population ages, Ambient Assisted Living becomes a topic of considerable interest. At present, multimodal user interfaces in Ambient Assisted Living systems are an important research area. The contribution of this paper is to ascertain the needs of caregivers and family members, pertaining to the activities of daily living informatio...
Article
Full-text available
Social robots are increasingly being used to encourage social, emotional and cognitive growth in children. However, in order to establish social and bonding interactions, social robots need to be able to exhibit adaptive strategies to keep children engaged and interested. Adaptive strategies of a social robot based on children’s age and gender are...
Article
Robust activity recognition in near real-time is a prerequisite for delivering the smartness intrinsic to the pragmatic realisation of smart homes, environments and so forth. Many of the physical devices necessary for equipping a smart home are already available as consumer electronic devices and certified for use by the public. Yet activity recogn...
Article
Full-text available
Europe’s social agenda for the “active elderly” is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient...
Article
Full-text available
Heterogeneity represents a singular barrier to the cross-domain adoption of sensor networks, limiting the take-up of Ambient Intelligence. Historically, the preferred approach has been to adopt a middleware solution to mitigate the problems associated with heterogeneity. Normally, the sensor discovery process is tightly coupled to the middleware pl...
Data
Being requested several times, I think it is a good idea to put the paper's simulation (matlab) code here. Files included in this folder: Matlab script files: 1. HEED.m, heed protocol implemented by Mohammad Hossein Homaei 2. BEE.m, modified based on HEED, single hop version of the proposed protocol by Lina Xu 3. BEEM.m, modified based on HEED,...
Conference Paper
Full-text available
In order to establish social and bonding relationships with children, robots need to be able to adapt to a variety of users of different age and gender groups in order to keep them engaged and motivated. To this end, this research examines the responses of 107 children, ages 5 to 12, who interacted with humanoid robot NAO that communicated with syn...
Article
Full-text available
With the growth of the Internet, crowdsourcing has become a popular way to perform intelligence tasks that hitherto would be either performed internally within an organization or not undertaken due to prohibitive costs and the lack of an appropriate communications infrastructure. In crowdsourcing systems, whereby multiple agents are not under the d...
Article
Full-text available
Garlic prices fluctuate dramatically in recent years and it is very difficult to predict garlic prices. The autoregressive integrated moving average (ARIMA) model is currently the most important method for predicting garlic prices. However, the ARIMA model can only predict the linear part of the garlic prices, and cannot predict its nonlinear part....
Article
Full-text available
Wireless Sensor Network (WSN) systems are typically composed of thousands of sensors that are powered by limited energy resources. To extend the networks longevity, clustering techniques have been introduced to enhance energy efficiency. This paper presents a survey on clustering over the last two decades. Existing protocols are analysed from a Qua...
Article
Full-text available
Wireless Sensor Networks (WSNs) are typically composed of thousands of sensors powered by limited energy resources. Clustering techniques were introduced to prolong network longevity offering the promise of green computing. However, most existing work fails to consider the network coverage when evaluating the lifetime of a network. We believe that...
Article
Full-text available
Smart farming envisages the harnessing of Information and Communication Technologies as an enabler of more efficient, productive, and profitable farming enterprises. Such technologies do not suffice on their own; rather they must be judiciously combined to deliver meaningful information in near real-time. Decision-support tools incorporating models...