activity
20182026
most citedData Management in Industry 4.0: State of the Art and Open Challenges

233 citations · 452 across the 19 of their papers we have counts for

collaborators

19 papers

cs.SI2026

Sparing User Time with a Socially-Aware Independent Metaverse Avatar

Theofanis P. Raptis, Chiara Boldrini, Marco Conti +1

The Metaverse is redefining digital interactions by merging physical, virtual, and social dimensions, yet its effects on social networking remain largely unexplored. This work exam…

cs.NI2025★ 30 cited

Distributed Data Access in Industrial Edge Networks

Theofanis P. Raptis, Andrea Passarella, Marco Conti

Wireless edge networks in smart industrial environments increasingly operate using advanced sensors and autonomous machines interacting with each other and generating huge amounts…

cs.NI2025★ 5 cited

Energy Efficient Network Path Reconfiguration for Industrial Field Data

Theofanis P. Raptis, Andrea Passarella, Marco Conti

Energy efficiency and reliability are vital design requirements of recent industrial networking solutions. Increased energy consumption, poor data access rates and unpredictable en…

cs.CV2024★ 6 cited

Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction

Rafayel Mkrtchyan, Edvard Ghukasyan, Khoren Petrosyan +2

Indoor pathloss prediction is a fundamental task in wireless network planning, yet it remains challenging due to environmental complexity and data scarcity. In this work, we propos…

cs.NI2024

Empirical Application Insights on Industrial Data and Service Aspects of Digital Twin Networks

Marco Becattini, Davide Borsatti, Armir Bujari +5

Digital twin networks (DTNs) serve as an emerging facilitator in the industrial networking sector, enabling the management of new classes of services, which require tailored suppor…

cs.NI2024

Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths

Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

Conventional methods for outdoor environment reconstruction rely predominantly on vision-based techniques like photogrammetry and LiDAR, facing limitations such as constrained cove…

cs.SI2023

On the Potential of an Independent Avatar to Augment Metaverse Social Networks

Theofanis P. Raptis, Chiara Boldrini, Marco Conti +1

We present a computational modelling approach which targets capturing the specifics on how to virtually augment a Metaverse user's available social time capacity via using an indep…

cs.LG2022★ 4 cited

Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories

Gabriel Filios, Ioannis Katsidimas, Sotiris Nikoletseas +2

The cyber-physical convergence is opening up new business opportunities for industrial operators. The need for deep integration of the cyber and the physical worlds establishes a r…

cs.NI2022★ 3 cited

Design Guidelines for Apache Kafka Driven Data Management and Distribution in Smart Cities

Theofanis P. Raptis, Claudio Cicconetti, Manolis Falelakis +2

Smart city management is going through a remarkable transition, in terms of quality and diversity of services provided to the end-users. The stakeholders that deliver pervasive app…

cs.NI2022

Heterogeneity-aware P2P Wireless Energy Transfer for Balanced Energy Distribution

Tamoghna Ojha, Theofanis P. Raptis, Marco Conti +1

The recent advances in wireless energy transfer (WET) provide an alternate and reliable option for replenishing the battery of pervasive and portable devices, such as smartphones.…

cs.NI2022★ 20 cited

On Efficiently Partitioning a Topic in Apache Kafka

Theofanis P. Raptis, Andrea Passarella

Apache Kafka addresses the general problem of delivering extreme high volume event data to diverse consumers via a publish-subscribe messaging system. It uses partitions to scale a…

cs.NI2022★ 2 cited

Wireless Crowd Charging with Battery Aging Mitigation

Tamoghna Ojha, Theofanis P. Raptis, Marco Conti +1

Battery aging is one of the major concerns for the pervasive devices such as smartphones, wearables and laptops. Current battery aging mitigation approaches only partially leverage…

cs.NI2022

Balanced Wireless Crowd Charging with Mobility Prediction and Social Awareness

Tamoghna Ojha, Theofanis P. Raptis, Marco Conti +1

The advancements in peer-to-peer wireless power transfer (P2P-WPT) have empowered the portable and mobile devices to wirelessly replenish their battery by directly interacting with…

cs.NI2021★ 12 cited

An algorithmic study in the vector model for Wireless Power Transfer maximization

Ioannis Katsidimas, Sotiris Nikoletseas, Theofanis P. Raptis +1

Rapid technological advances in the domain of Wireless Power Transfer (WPT) pave the way for novel methods for power management in systems of wireless devices and recent research w…

cs.NI2021★ 45 cited

Wireless charging for weighted energy balance in populations of mobile peers

Sotiris Nikoletseas, Theofanis P. Raptis, Christoforos Raptopoulos

Wireless energy transfer is an emerging technology that is used in networks of battery-powered devices in order to deliver energy and keep the network functional. Existing state-of…

cs.NI2021★ 13 cited

Radiation-constrained algorithms for Wireless Energy Transfer in Ad hoc Networks

Sotiris Nikoletseas, Theofanis P. Raptis, Christoforos Raptopoulos

We study the problem of efficiently charging a set of rechargeable nodes using a set of wireless chargers, under safety constraints on the electromagnetic radiation incurred. In pa…

cs.NI2021★ 70 cited

Keeping data at the edge of smart irrigation networks: A case study in strawberry greenhouses

Constantinos Marios Angelopoulos, Gabriel Filios, Sotiris Nikoletseas +1

Strawberries are widely appreciated for their aroma, bright red color, juicy texture, and sweetness. They are, however, among the most sensitive fruits when it comes to the quality…

cs.NI2019★ 233 cited

Data Management in Industry 4.0: State of the Art and Open Challenges

Theofanis P. Raptis, Andrea Passarella, Marco Conti

Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This a…

cs.NI2018★ 9 cited

Distributed Path Reconfiguration and Data Forwarding in Industrial IoT Networks

Theofanis P. Raptis, Andrea Passarella, Marco Conti

In today's typical industrial environments, the computation of the data distribution schedules is highly centralised. Typically, a central entity configures the data forwarding pat…