A5076757847- IoT and Edge/Fog Computing
- RFID technology advancements
- Service-Oriented Architecture and Web Services
- Digital Transformation in Industry
- Mobile Crowdsensing and Crowdsourcing
- Cloud Computing and Resource Management
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Blockchain Technology Applications and Security
- Advanced Malware Detection Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Network Security and Intrusion Detection
- Context-Aware Activity Recognition Systems
- Big Data and Business Intelligence
- Energy Efficient Wireless Sensor Networks
- Explainable Artificial Intelligence (XAI)
- Modular Robots and Swarm Intelligence
- Energy Harvesting in Wireless Networks
- Fault Detection and Control Systems
- Privacy, Security, and Data Protection
- Software Testing and Debugging Techniques
- Information and Cyber Security
- Manufacturing Process and Optimization
- Distributed and Parallel Computing Systems
- Sustainable Industrial Ecology
INTRASOFT International (Luxembourg)
2019-2024
Athens Information Technology
2008-2022
Imerys (Greece)
2022
INTRASOFT International (Greece)
2021
Technological Educational Institute of Athens
2013
Aalborg University
2011
In recent years, there is a surge of interest in approaches pertaining to security issues Internet Things deployments and applications that leverage machine learning deep techniques. A key prerequisite for enabling such the development scalable infrastructures collecting processing security-related datasets from IoT systems devices. This paper introduces configurable data collection infrastructure data-driven security. It emphasizes (security) different elements systems, including individual...
This paper introduces the stack for service delivery models and interoperability in Internet of Things. The main characteristics functional layers IoT are described. applicability is described based on particular use cases deployed pilots. validation terms functionality adaptation at different areas Virtual Development Kit (VDK) developed implemented within framework OpenIoT project-OpenIoT project awarded Things open-source rookie year by BlackDuck Software Co. (www.github.com/OpenIotOrg)....
Predictive Analytics and Machine Learning (ML) are at the heart of some most popular Industry 4.0 applications such as condition-based monitoring, predictive maintenance, quality management. To support implementation use cases, various ML models have been proposed validated in research literature. This paper introduces a novel set machine learning algorithms for Industry4.0 namely QARMA algorithms, which capable mining quantitative rules. present several advantages when compared to...
Predictive maintenance is one of the most prominent use case smart manufacturing in Industry4.0. Nevertheless, development predictive systems still challenging as a result need to integrate multiple fragmented data sources, research and apply advanced analytics, close loop field order provide actionable intelligence. The paper presents architecture, design practical implementation an end-to-end system that addresses these challenges. has been successfully deployed two factories positively...
By following an analysis of the state art in convergence cloud computing and Internet Things (IoT), this paper presents design principles for IoT environments. A framework on-demand establishment services based on automated formulation societies internet-connected objects is described interactions between architecture modules are explained detail to validate approach. The main building blocks functional its operational components follow utility-driven cloud-based model. leverages well-known...
In recent years there has been a growing interest in Circular Economy (CE), which promises to reduce waste and improve sustainability. The promise of CE is change the conventional "take–make–dispose" that causes massive flows based on integration demanufacturing remanufacturing processes within value chains. This requires breaking "silos" circular chain establish new collaborative sustainable networks. paper introduces novel digital platform for CE, currently under development H2020...
Infrastructures enabling experimental assessment of Internet Things (IoT) solutions are scarce. Moreover, such infrastructures typically bound to a specific application domain, thus, not facilitating the testing with horizontal approach. This paper presents platform that supports Experimentation as s Service (EaaS) over federation IoT testbeds. brings two major advances. First, it leverages semantic web technologies enable interoperability so testbed agnostic access underlying facilities is...
RFID middleware is a cornerstone of non-trivial deployments in complex heterogeneous environments. In this demonstration, we introduce and present the AspireRfid platform using demonstrators area Supply Chain management Near Field Communications. The provides support for applications several fields including supply-chain management, logistics, access control, asset pharmaceuticals. demonstration traceability application logistics supply chain as well pick pack application. implements...
Executing analytics functionalities over data from highly distributed sources and streams is at the very core of vast majority Industrial Internet Things (IIoT) applications. State art streaming engines provide means for high performance velocity IIoT streams, yet they still need significant programming customization efforts when deployed in heterogeneous industrial environments. This paper introduces a configurable engine The leverages state middleware platforms, which it augments with set...
One of the main challenges in modern Internet Things (IoT) systems is efficient collection, routing and management data streams from heterogeneous sources, including sources with high ingestion rates. Despite existence various IoT streaming frameworks, there still no easy way for collecting configurable ways that are to be implemented deployed realistic environments. In this paper, we introduce a programmable engine Distributed Data Analytics (DDA), which eases task different accordingly,...
The management performance of cloud systems is measured by the capacity for controlling virtual infrastructures and their capability to run parallel-computing applications distributed-processing services independently. challenge about how this can be done more dynamically (self-organization) means distributed user data application demands yet an area explore. This paper introduces first a functional architecture design, following principles cloud-based service lifecycle control composition...
In response to contemporary security challenges for Internet of Things systems, this paper introduces an architectural framework data driven monitoring and automation. The architecture supports advanced analytics detecting anomalies at all layers IoT system, based on a powerful mechanism reusable templates. Also, the provides concrete example data-driven smart objects, use deep learning algorithms their implementation over introduced framework. are successfully deployed used effective...
Radio Frequency Identification (RFID) has been promoted, as the solution to identification and tracking of objects, without any means wires or human intervention. RFID middleware is a prominent component non-trivial deployment. EPCglobal actively working towards set standards for large scale interoperable deployments (such Electronic Product Code Application Level Events (EPC-ALE) Information Sharing (EPCIS) standards), while several projects have concentrated in implementation these...