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    科斯摩托

    Cosmote
    企业
    72论文总数
    238引用总数

    论文量&引用量时间轴

    机构学者

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    Жеко Радев
    Жеко Радев
    Independent Researcher
    论文:10引用:0H-index:0
    Ioanna Mesogiti
    Ioanna Mesogiti
    Cosmote
    论文:7引用:0H-index:0
    Anastasius Gavras
    Anastasius Gavras
    Eurescom GmbH, Heidelberg, Germany
    论文:6引用:0H-index:0
    Charliana Aragão Damasceno
    Charliana Aragão Damasceno
    Cosmote (Greece)
    论文:5引用:0H-index:0
    F. Semsarha
    F. Semsarha
    Institute of Biochemistry and Biophysics, University of Tehran
    论文:3引用:0H-index:0
    Vaios Koumaras
    Vaios Koumaras
    PCN
    论文:3引用:0H-index:0
    Evangelos A. Kosmatos
    Evangelos A. Kosmatos
    School of Electrical and Computer Engineering, National Technical University of Athens
    论文:3引用:0H-index:0
    Raymond A. Frizzell
    Raymond A. Frizzell
    Cystic Fibrosis Research Center, Departments of Pediatrics and Cell Biology, University of Pittsburgh
    论文:3引用:0H-index:0
    Juan Brenes
    Juan Brenes
    Nextworks, Pisa, Italy
    论文:3引用:0H-index:0

    论文(72)

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    1D4.1 Open Labs Design and Integration and Validation Methodology
    Bernhard Kloiber, Neda Petreska,Juan Brenes,Carla Fabiana Chiasserini, Claudio Casetti, Abinaya Babu, Konstantinos Filis, Jesus Omar Lacruz,Joerg Widmer,Luis Diez,Ramón Agüero, Haoqiu Xiong,

    This document presents a comprehensive validation and integration methodology designed to ensure the realization of the MultiX technologies using vertical oriented Proof of Concepts (PoCs). The document provides an overall description of the methodology to be used during the project execution, focusing on the roadmap and phases envisioned during the project, and the mechanisms established to monitor the progress of the integration and validation activities, and at the same time assess the completeness of the targeted tests. This document also describes the MultiX Open Labs environments, detailing the available and targeted technologies to be used during the validation activities, and the mechanisms to access the testbeds to deploy software components. Finally, this document provides an initial set of experiments and demonstrations envisioned during the project execution providing details regarding the MultiX sensing technologies to be validated and the targeted KPIs.

    2026Zenodo (CERN European Organization for Nuclear Research)(2026)
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    2The Complexity of Governance: Towards a Pragmatic Systems Model
    Perrin J.G. Carey, Divya Mahendran

    Background: Corporate governance is evolving and shifting, becoming more outcome-focused to address a more complex and uncertain world, rooted in ethics, accountability and integrated thinking. However, governance is complex, so there needs to be an approach to governance observation that manages this paradox. Objectives: This article proposed a pragmatic and innovative model that represents and makes the complex nature of governance accessible to boards, policymakers and regulators. Method: This exploratory and developmental article followed the stages of literature review, conceptual design, model development and visualisation. Results: Corporate governance is shifting as the modern world moves towards greater uncertainty and unpredictability, and along with this, corporate failure is not abating. The science of complexity has been proposed as an approach to observe and enhance understanding of complex systems, and some authors have connected the fields of governance and complexity. A new governance model (GOVIndicia®) was conceptually designed, constructed and visualised. The model proposed three core domains represented by a Venn diagram: culture, decision-making and implementation and oversight. The model inferred functional operation in both a cyclical and interconnected action. The three domains each had three categories, and each of those three indices made 27 indices overall. Conclusion: The critical importance of governance is clear, and yet corporate failures keep occurring. Modern governance is operating in an increasingly complex environment, and governance itself is a complex system and should be modelled as such. Contribution: The complexity governance model proposed supports boards and their organisations, as well as policymakers and regulators.

    2025Advances in Corporate Governance(2025)
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    3FATORES DE RISCO PARA DOENÇAS CARDIOVASCULARES EM ESTUDANTES UNIVERSITÁRIOS DA ÁREA DA SAÚDE: REVISÃO INTEGRATIVA
    Gabriela de Borba Paz, Juliano de Oliveira,Claudia Capellari

    cardiovascular diseases" AND " students" AND "risk factors" AND ("nursing" OR "medicine" OR "psychology" OR "physiotherapy") para o repositório PubMed, e "Doenças Cardiovasculares", "Estudantes", "Fatores de Risco" (OR "enfermagem" OR "medicina" OR "psicologia" OR "fisioterapia") no repositório SciELO.

    2024Revista Eletrônica Multidisciplinar de Investigação Científica(2024)
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    4Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines
    Maria G. Ioannides,Elias B. Koukoutsis,Anastasios P. Stamelos,Stylianos A. Papazis, Erofili E. Stamataki,Athanasios Papoutsidakis,Vasilios Vikentios, Nikolaos Apostolakis,Michael E. Stamatakis

    The technology of Internet of Things (IoT) can be integrated with systems of electrical machines, for electric drives and wind and solar generation systems, and advance controlling and monitoring. This work presented recent research and progress of electrical drives with IoT technology, regarding design, operation, and trial of the control system for induction motors (ΙΜ). Also, the developed software code and hardware units for speed control were detailed and the results obtained from tests of performance of the ΙΜ integrated with IoT were described. With the IoT integration set-up, the operator can control the frequency values, obtain real-time feedback of the process, and monitor the system during varying loads in steady state. The operation of the ΙΜ system driven by inverter and its monitoring over IoT was proven to have high-accuracy speed control and increased efficiency at supersynchronous speeds. Thus, IoT establishes potentials to become a multipurpose tool in the industrial control of electric drives. This paper established one case study of an IoT set-up and control technique for IM, which is suitable for energy engineering experts in the field of IoT control of industrial equipment.

    2023ENERGIES(2023)引用:4
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    5Dynamic and Quality-aware Network Slice Management in 5G Testbeds.
    Vincent Charpentier,Nina Slamnik-Krijestorac,Juan Brenes,Andreas Gavrielides,Marius Iordache, Georgios Tsiouris,Lian Xiangyu,Johann M. Marquez-Barja

    The proliferation of 5G technology is enabling vertical industries to improve their day-to-day operations by leveraging enhanced Quality of Service (QoS). One of the key enablers for such 5G performance is network slicing, which allows telco operators to logically split the network into various virtualized networks, whose configuration and thus performance can be tailored to verticals and their low-latency and high throughput requirements. However, given the end-to-end perspective of 5G ecosystems where slicing needs to be applied on all network segments, including radio, edge, transport, and core, managing the deployment of slices is becoming excessively demanding. There are also various verticals with strict requirements that need to be fulfilled. Thus, in this paper, we focus on the solution for dynamic and quality-aware network slice management and orchestration, which is simultaneously orchestrating network slices that are deployed on top of the three 5G testbeds built for transport and logistics use cases. The slice orchestration system is dynamically interacting with the testbeds, while at the same time monitoring the real-time performance of allocated slices, which is triggering decisions to either allocate new slices or reconfigure the existing ones. In this paper, we illustrate the scenarios where dynamic provisioning of slices is required in one of the testbeds while taking into account specific latency/throughput/location requirements coming from the verticals and their end users.

    20232023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT(2023)引用:4
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    合作机构(73)

    European Institute For Research and Strategic Studies In Telecommunications合作论文 6
    WINGS ICT Solutions (Greece)合作论文 5
    匈牙利科学院合作论文 3
    马拉加大学合作论文 3
    Nextworks (Italy)合作论文 3
    Inlecom Systems (United Kingdom)合作论文 3
    Orange S.A.合作论文 3
    Pará State University合作论文 3
    Universidade da Amazônia合作论文 3
    Telenor (Norway)合作论文 3

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