A5038811224- Semantic Web and Ontologies
- Speech and dialogue systems
- Social Robot Interaction and HRI
- Natural Language Processing Techniques
- Topic Modeling
- Digital Transformation in Industry
- Big Data and Business Intelligence
- AI in Service Interactions
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Flexible and Reconfigurable Manufacturing Systems
- Robotics and Automated Systems
- Building Energy and Comfort Optimization
- IoT and Edge/Fog Computing
- Animal Behavior and Welfare Studies
- Food Supply Chain Traceability
- Air Quality Monitoring and Forecasting
- BIM and Construction Integration
- Electronic Health Records Systems
- Manufacturing Process and Optimization
- Energy Efficiency and Management
- Robot Manipulation and Learning
- Multimodal Machine Learning Applications
- Adversarial Robustness in Machine Learning
- Technology Use by Older Adults
Tekniker
2013-2024
Association of Electronic and Information Technologies
2021
Technische Informationsbibliothek (TIB)
2021
Data Management (Italy)
2021
Open Knowledge (United Kingdom)
2021
Università Cattolica del Sacro Cuore
2021
University of Bologna
2021
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets information technology (IT) systems are used in data-driven analytics efforts support informed business intelligence decisions. However, these results currently only isolated dispersed parts production process. At same time, full integration artificial (AI) all is lacking. In this context, goal manuscript present a...
This article presents a semantic approach for multimodal interaction between humans and industrial robots to enhance the dependability naturalness of collaboration them in real settings. The fusion several mechanisms is particularly relevant applications which adverse environmental conditions might affect performance vision-based (e.g. poor or changing lighting) voice-based noise). Our relies on recognition speech gestures processing requests, dealing with information that can potentially be...
Collaborative human-robot multi-component systems intended for industrial processes are designed and implemented to meet requirements of productivity in the process safety workplace. If these gain broad adoption acceptance workplace, it is also essential that they provide best possible user experience (UX) collaborating human worker. This paper reports data from an early-stage qualitative study with two distinct groups potential users collaborative robots industry: professionals industry...
In Industry 5.0, human workers and their wellbeing are placed at the centre of production process. this context, task-oriented dialogue systems allow to delegate simple tasks industrial assets while working on other, more complex ones. The possibility naturally interacting with these reduces cognitive demand use them triggers acceptation. Most modern solutions, however, do not a natural communication, techniques obtain such require large amounts data be trained, which is scarce in scenarios....
Low power electronic systems, whenever feasible, use supercapacitors to store energy instead of batteries due their fast charging capability, low maintenance and environmental footprint. To decide if are feasible requires characterising behaviour performance for the load profiles conditions target. Traditional supercapacitor models electromechanical, require complex equations knowledge physics chemical processes involved. Models based on equivalent circuits mathematical less could provide...
As a consequence of the projected world population growth, meat consumption is expected to grow. Therefore, production needs be improved, although it cannot done at any cost. Maintaining health and welfare status animals optimal levels has traditionally been main concern farmers, more recently, consumers. In this article Poultry Chain Management (PCM) platform presented. It aims collecting data across different phases poultry chain. The collection not only contributes determine quality each...
This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of collaboration in real settings. Although this generic can be applied different scenarios, explains detail how it is implemented case accuracy requests interpretation order achieve more efficient, easy scale maintain robots.
Spaces and elements in the built environment have emerged as platforms where materializations of observations actuations promise to be very profitable. The advent Internet Things (IoT) paves way address this challenge but heterogeneity represented knowledge about se artifact systems poses a real problem. Ontologies can considered part solution overcome IoT’s inherent hurdles. A wise option promoted by recent approaches is design networks complementary ontologies. However, different points...
Fulfilling occupants' comfort whilst reducing energy consumption is still an unsolved problem in most of tertiary buildings. However, the expansion Internet Things (IoT) and Knowledge Discovery Databases (KDD) techniques lead to research this matter. In paper EEPSA (Energy Eff iciency Prediction Semantic Assistant) process presented, which leverages Web Technologies (SWT) enhance KDD for achieving efficiency buildings while maintaining levels. This guides data analyst through different...
Achieving a comfortable thermal situation within buildings with an efficient use of energy remains still open challenge for most buildings. In this regard, IoT (Internet Things) and KDD (Knowledge Discovery in Databases) processes may be combined to address these problems, even though data analysts feel overwhelmed by heterogeneity volume the considered. Data could benefit from application assistant that supports them throughout process aids discover which are relevant variables matter at...
Outlier detection in the preprocessing phase of Knowledge Discovery Databases (KDD) processes has been a widely researched topic for many years. However, identifying potential outlier cause still remains an unsolved challenge even though it could be very helpful determining what actions to take after detecting it. Furthermore, conventional methods might overlook outliers certain complex contexts. In this article, Semantic Technologies are used contribute overcoming these problems by...
Although the maturity of technologies based on Artificial Intelligence (AI) is rather advanced nowadays, their adoption, deployment and application are not as wide it could be expected. This attributed to many barriers, among which lack trust users stands out. Accountability a relevant factor progress in this trustworthiness aspect, allows determine causes that derived given decision or suggestion made by an AI system. article focuses accountability specific branch AI, statistical machine...
The transition of a company towards data-oriented organisation is process where several key aspects must be considered. Available data readable and interpretable so that useful information can extracted from it, but also governance implemented with the use an appropriate management approach. Handling at scale important in this system, as well ensuring its quality, agility ease when new functionalities have to developed. New paradigms design analytical architectures emerged recent times...