A5052508716- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Constraint Satisfaction and Optimization
- Data Management and Algorithms
- Opportunistic and Delay-Tolerant Networks
- Context-Aware Activity Recognition Systems
- Scheduling and Timetabling Solutions
- Building Energy and Comfort Optimization
- Wireless Communication Networks Research
- Advanced MIMO Systems Optimization
- Optimization and Search Problems
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Scheduling and Optimization Algorithms
- Cognitive Radio Networks and Spectrum Sensing
- Human Mobility and Location-Based Analysis
- Vehicle Routing Optimization Methods
- Design Education and Practice
- Cooperative Communication and Network Coding
- Advanced Optical Network Technologies
- Wireless Networks and Protocols
- Digital Transformation in Industry
- Product Development and Customization
- Manufacturing Process and Optimization
- AI-based Problem Solving and Planning
American Physical Therapy Association
2025
University College Cork
2015-2024
Guangzhou University
2021
GlaxoSmithKline (United States)
2017
University of California, Davis
1997-2015
International Energy Research Centre
2015
Franklin Pierce University
2014
Goodyear (United States)
2014
Trinity College Dublin
2013
AstraZeneca (United States)
2010
Digital twins (DTs) is a promising technology in the revolution of industry and essential for Industry 4.0. DTs play vital role improving distributed manufacturing, providing up-to-date operational data representation physical assets, supporting decision-making, avoiding potential risks manufacturing systems. Furthermore, need to collaborate within systems predict reach consensus-based decision-making. However, collaboration suffers from single failure due attack connection centralized...
Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With evolution of personalised healthcare, there is significant need represent virtual replica for individuals provide right type care way at time. Therefore, this paper, we surveyed concept personal digital twin (PDT) as an enhanced version DT with actionable insight capabilities. In particular, PDT can bring value patients by enabling...
Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution all domains, including healthcare sector. As result COVID-19 pandemic outbreak, there is significant need for medical cyber-physical systems to adopt these emerging combat paramedic crisis. Also, acquiring secure real-time data exchange analysis across multiple participants essential support efforts against COVID-19....
In the wake of a natural or man-made disaster, restoration telecommunications is essential. First responders must coordinate their responses, immediate casualties require assistance, and all affected citizens may need to access information contact friends relatives. Existing core infrastructure be damaged destroyed, so support required services, new rapidly deployed integrated with undamaged resources still in place. This equipment should flexible enough interoperate legacy systems...
Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that real product and its virtual counterpart are twins travel parallel journey from design development to production service life. intelligence comes DTs’ operational data supports interactions between DTs pave way for cyber-physical integration smart manufacturing. This paper presents conceptual framework digital collaboration provide an auto-detection erratic by utilizing manufacturing systems. proposed...
This paper introduces ER-MAC, a hybrid MAC protocol for emergency response wireless sensor networks. ERMAC is designed as of the TDMA and CSMA approaches, giving it flexibility to adapt traffic topology changes. It adopts approach schedule collision-free slots. Nodes wake up their scheduled slots, but otherwise switch into power-saving sleep mode. When an occurs, nodes that participate in monitoring change behaviour by allowing contention slots achieve high delivery ratio low latency. ER-MAC...
The aim of a modern Building Automation System (BAS) is to enhance interactive control strategies for energy efficiency and user comfort. In this context, we develop novel algorithm that uses stochastic building occupancy model improve mean while minimizing expected discomfort. We compare by simulation our Stochastic Model Predictive Control (SMPC) strategy the standard heating method empirically demonstrate 4.3% reduction in use 38.3%
This work introduces a dynamic model for the fire emergency evacuation problem. The extends concept safety introduced by Barnes et.al. situation when navigation graph is dynamic. two possible scenarios are described using with Wireless Sensor Network evacuation.
The flexor carpi ulnaris and digitorum superficialis are thought to provide dynamic stability the medial elbow during pitching. High stress pitching fatigues these stabilizers of elbow. This fatigue could leave ulnar collateral ligament more vulnerable purpose this study was identify onset in a performance. It hypothesized that middle finger (MF) ring (RF) performance would occur earlier be substantial than grip 3 fatigue. Descriptive laboratory study. Eighteen baseball pitchers (age, 17 ± 4...
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, significant proportion do not competitive levels, and thus RTS post ACL reconstruction still represents challenge clinicians. Wearable sensors, owing their small size low cost, can represent an opportunity management athletes on-the-field after by providing guidance associated In particular, this study aims investigate ability set inertial sensors...
With the advent of cognitive radio technology, new paradigms for spectrum access can achieve near-optimal utilisation by letting each user sense and utilise available opportunistically while regulating interference it imposes on other users through constraints. However, simplest most common forms such constraints are binary transmitter-centric, which often inefficient since they only consider pair-wise sets transmitters. Hence, we propose a non-binary receiver-centric constraint model in...
Nighttime heartburn, common among patients with gastro-oesophageal reflux disease (GERD), is associated substantial clinical effects. GERD-related sleep disturbances are underappreciated and undertreated.To evaluate the efficacy of esomeprazole on nighttime heartburn disturbances.In this multicentre, randomized, double-blind, placebo-controlled study, moderate-to-severe (endoscopies not required) received 20 mg or placebo each morning for 4 weeks. Heartburn symptoms were evaluated using...
Reducing the number of cars driving on roads is an important objective for smart sustainable cities, reducing emissions and improving traffic flow. To assist with this aim, ride-sharing systems match intending drivers prospective passengers. The matching problem becomes more complex when can pick-up drop-off several passengers, both passengers have to travel within a time-window are willing switch roles. We present mixed integer programming model switching rider problem, minimizing total...
Every year over 75 000 firefighters are injured and 159 die in the line of duty. Some these accidents could be averted if first response team leaders had better information about situation on ground. The SAFESENS project is developing a novel monitoring system for responders designed to provide with timely reliable their firefighters' status during operations, based data from wireless inertial measurement units. In this paper we investigate Gradient Boosted Trees (GBT) used recognising 17...
Providers of cloud computing systems need to manage resources carefully meet the desired Quality Service and reduce waste due overallocation. An accurate prediction future demand is crucial allocate service requests without excessive delays. Current state-of-the-art methods such as Long Short-Term Memory-based models make only point forecasts considering uncertainty in their predictions. Forecasting a distribution would provide more comprehensive picture inform resource scheduler decisions....
Recent studies demonstrate that the performance of a wireless sensor network (WSN) can be improved by deploying multiple sinks in network. Therefore, this paper we present different routing protocols for multi-sink WSNs based on protocol low-power and lossy networks (RPL). Our use metrics objective functions (OFs). We available bandwidth, delay, MAC layer queue occupancy, expected transmission count (ETX) as tie-breaking conjunction with shortest hop-count metric. OFs greedy or end-to-end...