A5061318404- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Flexible and Reconfigurable Manufacturing Systems
- Smart Cities and Technologies
- Traffic Prediction and Management Techniques
- Blockchain Technology Applications and Security
- Traffic control and management
- Industrial Vision Systems and Defect Detection
- Anomaly Detection Techniques and Applications
- COVID-19 diagnosis using AI
- Autonomous Vehicle Technology and Safety
- Context-Aware Activity Recognition Systems
- Human Mobility and Location-Based Analysis
- Advanced Statistical Process Monitoring
- COVID-19 epidemiological studies
- Manufacturing Process and Optimization
- IoT Networks and Protocols
- Data Stream Mining Techniques
- Fault Detection and Control Systems
- Big Data and Business Intelligence
- Robotics and Automated Systems
- Advanced Data Processing Techniques
- Network Security and Intrusion Detection
- Product Development and Customization
- Transportation Planning and Optimization
Ollscoil na Gaillimhe – University of Galway
2021-2024
University of Florence
2018-2021
Instituto Superior Técnico
2021
University of Southern California
2021
Engineering Systems (United States)
2021
Smart City solutions, initially started with open data, are evolving towards data aggregation and semantics. Recently, some of them also offering IOT support. The combination smart city is not an easy task, the volumes much higher than those addressed for industrial IOT. complexity solutions have been identified by a number actors. European commission set up EIP project stimulating concerting actions. Select4Cities Commission associated community http://www.select4cities.eu/ created...
The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies be open integration their production plants with other plants, and provide access data processes. In most cases, this also means give at flows customers perform some synchronizations, permit supervision, create control rooms, synoptics dashboards. activity facilitated by introduction of IoT solutions Devices, Brokers, etc., which have a completely different approach respect DCS...
The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies be open integration their production plants with other plants, and provide access data processes. In most cases, this also means give at flows customers perform some synchronizations permit supervision, may create control rooms, synoptics dashboards. activity facilitated by introduction of IoT solutions Devices, Brokers, etc., which have a completely different approach respect DCS...
Due to growing cities, the real-time knowledge about state of traffic is a critical problem for urban mobility and road-segments densities estimation influences efficiency fundamental smart city services as routing, planning evacuations, civil works on city, etc. Nevertheless, traffic-related data from navigator Apps (e.g., TomTom, Google, Bing) are too expensive be acquired. Also, traditional sensors flow detection very expensive, they usually not dense enough correct monitoring. In order...
Graphical User Interfaces (GUI) and real-time in-teractive Big Data charts play a key role in wide variety of applications. The software libraries that are available at today not suitable for displaying huge volumes data single chart, because they require all the to be collected node. In this work, an innovative approach problem is presented, consists using network cyber-devices created configured via API calls interfaces with Scala Spark server application through multiplicity communication...
Real time traffic flow data in terms of road-segments densities are relevant information at the basis several smart services, such as routing, planning for evacuations, civil works on city, etc. The traditional methods measured via sensors using from navigator Apps (e.g., TomTom, Google map, Waze) could be very expensive to acquired. For this reason, there is space low cost and fast solutions dense reconstruction scattered coming a limited number street spread city. proposed method based...
A key aspect of Intelligent Manufacturing is the interface between Edge and Fog layers on one side Cloud other side. Once that some data extraction cleaning has been performed in (logical and/or physical) nearby production line, it necessary to move where distributed parallel computations make possible train use Machine Learning models. For a wide range applications, also restructure reconfigure computation network over time, reacting relevant events at real-time. This can be achieved (i) by...
Smart Cities are probably on the more complex environment for IOT data collection. could have different producers, sample rates, periodic and aperiodic, typical trends, structures stacks, faults, etc. Thus, a strongly flexible scalable solution is needed to avoid investing huge amount of resources in anomaly detection that has be done real time agnostic above-mentioned problems. This paper presents automatic anomalies. The proposed approach scales seamlessly integrates contexts, featuring...
In the context of Smart City, it is quite frequent usage City API for providing services at web and mobile applications. Most solutions using APIs are focused on a single city. This means that passing from one city/area to another, users must change application. happens lack interoperability among and/or services. this paper, problem federation smart city addressed by proposing solution federating APIs. To end, formal model has been proposed federate services, with efficiency, security,...
The state-of-the-art in manufacturing technology identifies a data rich, horizontally and vertically integrated environment, with collaborative control intelligence systems, to enable what is called smart factory. Similar digital factories, factories signify greater convergence between Operational Technology (OT), wider enterprise Integrated (IT). With these new capabilities comes challenges scale, complexity, the skills needed ubiquitous system integration. While past, engineers have...
Reducing product failure rates is crucial to ensure a healthy production line. However, the current approach for inspecting quality inefficient, costly, and time-consuming, relying on manual inspection at end of process. This research paper focuses utilization transfer learning, an intelligent machine-learning technique, improve accuracy efficiency in lines. The proposed utilizes learning adapt pre-trained model from related domain target domain, enabling accurate prediction with limited...
In the context of smart city, real-time routing and traffic prediction applications have specific requirements as for their needed input data, shaping, efficient retrieval. The recent services need to integrated data store access deduction. models at state art are not satisfactory. Therefore, Sii-Mobility research development project Italian Ministry has developed a new model ontology, named Km4City. It makes possible, among several also reconstruction. paper, identified processes knowledge...
Intelligent, smart, Cloud, reconfigurable manufac-turing, and remote monitoring, all intersect in modern industry mark the path toward more efficient, effective, sustain-able factories. Many obstacles are found along path, including legacy machineries technologies, security issues, software that is often hard, slow, expensive to adapt face unforeseen challenges needs this fast-changing ecosystem. Light-weight, portable, loosely coupled, easily monitored, variegated components, supporting...
In the realm of smart manufacturing, predictive maintenance plays a pivotal role in ensuring equipment reliability, minimizing downtime, optimizing costs, and reducing product failure rate by detecting faulty products early stage. However, efficacy hinges on quality training data employed for modeling. Inadequate can lead to erroneous predictions and, consequently, ineffective strategies. This research paper introduces solution that leverages deep learning management enhance manufacturing....
According to the changed operative conditions due lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility, environment, social media people flows. While in this first report only transport environment are reported. analysis performed identified strong reduction mobility activities, pollutants. has assessed quite coherent with respect what described by Google Global report. On other hand, paper additional aspects put evidence...
According to the COVID-19 lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility environment, specifically on traffic, environmental data parking. reduction has assessed quite coherent with respect what described by Google Global report. On other hand, in this paper additional aspects put evidence providing detailed parking that allowed us better analyse impact an eventual revamping infection, also taking into account Rt index....
Product failure detection in smart manufacturing is important because it allows manufacturers to quickly identify and isolate faulty products before they reach the end of production line. In today's fast-paced highly competitive business environment, need accurately product failures stay meet customer expectations. Previously quality was inspected manually now examined using a machine learning algorithm overcome limitations manual inspection. However, latter case AI ML experts are required...
In modern industry, adaptation to market changes, as well prompt reaction a variety of predictable and unpredictable events, is key requirement. Ubiquitous computing, real-time analytics, reconfigurable hardware/software components, often coexist in the complex, internally variegated, proprietary systems that are traditionally deployed meet such However, tailor-made only part requirements openness, security, monitorability, geographical distribution, most all, remote extendability...
Modern manufacturing systems characterize for the multiple dimensions of their complexity. They are numerically complex, as they consist several components. logically and variegated links exist among different technologically a mix hardware software technologies architectures is typically found. geographically often extend across physical locations sometimes involve organizations. However, resilience to predictable unpredictable events through timely, efficient, effective reconfiguration...
The promise of Connected and Automated Mobility (CAM) are Safer (enhanced road safety), More Efficient (lower emissions reduced congestion) (infotainment) Rides, not forgetting a significant impact on productivity, jobs growth, as well global competitiveness.The scope autonomy spans road, rail, waterways coastal maritime, the implementation scenarios extend from urban to remote rural areas, transcending national borders, ensure critical cross-border service continuity for autonomous...