Article
Education & Educational Research
Julian Monsalve-Pulido, Jose Aguilar, Edwin Montoya
Summary: This paper presents a framework for adapting educational organizations to SOA, using the case study of an autonomous recommendation system. The framework includes a business model, organizational IT governance components, and a self-management process to achieve adaptation to the service architecture in educational organizations.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Computer Science, Information Systems
Adeniyi Onasanya, Maher Elshakankiri
Summary: The emergence of IoT has significantly impacted the technology world, especially in healthcare delivery, where it has the potential to save lives and improve quality of life.Frameworks and architectures are proposed to support IoT-based solutions for cancer care, while security issues and operational challenges need to be addressed for the IoT-enabled healthcare system.
Article
Chemistry, Multidisciplinary
Kuen-Long Lu, Yung-Yuan Chen
Summary: The study proposes a safety-oriented system hardware architecture exploration framework that combines fault tree analysis and hardware architecture exploration to quickly identify solutions that comply with ISO-26262 safety requirements and hardware overhead constraints. This framework can assist system engineers in designing, evaluating, and enhancing the safety of a system in a cost-effective manner.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Theory & Methods
Moustafa Fayad, Ahmed Mostefaoui, Samir Chouali, Salima Benbernou
Summary: The aging of the world population has made it necessary to develop systems adapted to the needs of seniors. Recent technological improvements have allowed for the development of efficient healthcare systems, but issues of security and reliability still remain. This paper presents a methodology for verifying the security and reliability of the developed system, and the results guarantee the secure and reliable function of the Family Heroes System.
Article
Telecommunications
Yueshen Xu, Yan Jiang, Rui Li, Honghao Gao, Jin Guo, Yaning Liu, Lei Hei, Yihao Wang
Summary: In this article, a healthcare-oriented mobile QA system for smart cities is developed using artificial intelligence and mobile computing techniques. The system includes modules such as classifier, QA engine, and chatbots API and utilizes natural language processing, information retrieval, and service computing. The system has been applied in real-world hospitals and communities and has received positive user experience.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Chao Wang, Lei Gong, Xi Li, Qi Yu, Aili Wang, Patrick Hung, Xuehai Zhou
Summary: This paper introduces a services-oriented deep learning architecture, SOLAR, which utilizes various accelerators such as GPU and FPGA to improve performance. SOLAR provides a uniform programming model and leverages multi-target design space exploration to balance performance, power, energy, and efficiency.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Tayyab Khan, Karan Singh, Mohd Shariq, Khaleel Ahmad, K. S. Savita, Ali Ahmadian, Soheil Salahshour, Mauro Conti
Summary: Wireless Sensor Networks (WSNs) are critical for applications that require trust and security. Traditional trust evaluation schemes have limitations in dynamic and heterogeneous network environments, and may not be suitable for new and unknown attack scenarios. Machine Learning (ML) offers greater adaptability, scalability, and accuracy for trust evaluation in real-time, by analyzing data from multiple sources. This paper presents a ML-based trust evaluation model in unattended autonomous WSNs, achieving reliability, adaptability, scalability, and accuracy.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Euiseok Kim, Taehyeong Son, Soonhoi Ha
Summary: This paper proposes a novel hierarchical IoT platform that provides scalability and enables communication and resource sharing between edges through the introduction of a super service. The viability of the proposed platform is demonstrated through the use of a simulation framework and experiments.
INTERNET OF THINGS
(2023)
Review
Computer Science, Information Systems
Partha Pratim Ray, Neeraj Kumar
Summary: SDN and NFV have changed the way virtualized services are provided, especially when combined with IoT, but challenges related to edge-cloud communication and network services still exist. This paper provides a comprehensive review of key issues and challenges in existing architectures for SDN/NFV integration in IoT-centric edge-cloud network service provisioning, and suggests future directions to improve virtualized service scenarios. Lessons learned from comparative studies with other survey articles indicate the timely contribution of this work towards understanding SDN/NFV virtualization services in an IoT-centric edge-cloud scenario.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Yangyang Bao, Weidong Qiu, Xiaochun Cheng
Summary: This article introduces the trend of building a smart healthcare system using the Internet of Things (IoT) and cloud computing. It proposes a lightweight attribute-based searchable encryption (LABSE) scheme to address the challenges of retrieving encrypted health data stored in the cloud. The article rigorously proves the semantic security of the LABSE scheme, analyzes security properties, and compares it with other related schemes. The practicality and performance advantages of the LABSE scheme are demonstrated through experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Baozhan Chen, Siyuan Qiao, Jie Zhao, Dongqing Liu, Xiaobing Shi, Minzhao Lyu, Haotian Chen, Huimin Lu, Yunkai Zhai
Summary: This article introduces a security system for a 5G-based smart medical platform, utilizing a zero-trust architecture to build trusted dynamic access control models, achieve real-time network security situational awareness, and implement fine-grained access control. Thorough industrial-grade testing proves that the system meets the security defense needs of data, users, and services involved in a 5G-based smart medical system.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Industrial
Lisi Liu, Yingxue Yao, Jianguang Li
Summary: The CNC system has made significant progress in precision and speed, but vendor-proprietary issue remains. Open CNC and cloud-CNC are proposed solutions, with INC application combining the two approaches.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Chemistry, Analytical
Asadullah Shaikh, Mana Saleh Al Reshan, Adel Sulaiman, Hani Alshahrani, Yousef Asiri
Summary: This article presents a telemedicine system for remote treatment of COVID-19 patients, addressing the challenges of data transmission and interoperability between different telemedicine applications, while providing secure treatment and services.
Article
Computer Science, Artificial Intelligence
Jiayue Sun, Ying Yan, Fangxiao Cheng, Jiajun Wang, Yuxue Dang
Summary: The article focuses on the evolutionary dynamics optimal control-oriented tumor immune differential game system. A mathematical model is established to consider the effects of chemotherapy drugs and immune agents on immune cells and tumor cells. The bounded optimal control problem is solved through the Hamilton-Jacobi-Bellman (HJB) equation, considering actual constraints and an infinite-horizon performance index based on minimizing medication administered. An approximate optimal control strategy is obtained using the iterative-dual heuristic dynamic programming (I-DHP) algorithm, effectively avoiding dimensional disaster and providing an optimal treatment scheme for clinical applications.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Agronomy
Antonio Valente, Carlos Costa, Leonor Pereira, Bruno Soares, Jose Lima, Salviano Soares
Summary: Considering the global climate change scenario, resource management, particularly for water, is crucial. This study aimed to continuously monitor the plant water status in a vineyard using three groups of sensors connected through the LoRaWAN protocol. The results demonstrate that this method enables continuous data communication with reduced cost and superior range, making it especially useful in remote areas.
Article
Energy & Fuels
Daniele Porcu, Sonia Castro, Borja Otura, Paula Encinar, Ioannis Chochliouros, Irina Ciornei, Lenos Hadjidemetriou, Georgios Ellinas, Rita Santiago, Elisavet Grigoriou, Angelos Antonopoulos, Nicola Cadenelli, Nicola di Pietro, August Betzler, Inmaculada Prieto, Fabrizio Battista, Dimitrios Brodimas, Ralitsa Rumenova, Athanasios Bachoumis
Summary: With the increasing complexity of electric systems, 5G mobile network technology offers a promising solution for smart grids to address grid performance issues by enabling higher data exchange, high availability of telecommunication infrastructure, and low latency. This article presents the vision of the Smart5Grid project on how 5G can support the energy industry in deploying innovative digital services quickly, showcasing four real-life 5G-enabled demonstrators.
Article
Chemistry, Analytical
Fabio Franchi, Andrea Marotta, Claudia Rinaldi, Fabio Graziosi, Luciano Fratocchi, Massimo Parisse
Summary: This paper presents a 5G use case in the context of Structural Health Monitoring, highlighting the unprecedented level of reliability it offers for public safety purposes such as Earthquake Early Warning. The use of a specific sensor board with real-time processing and 5G connectivity forms the foundation for the designed network architecture. The advantages of 5G-enabled urban safety, including lower latency delays and overcoming the limitations of cloud solutions, are discussed and proven through experimentation results.
Article
Computer Science, Information Systems
Stavros Nousias, Gerasimos Arvanitis, Aris Lalos, Konstantinos Moustakas
Summary: Nowadays, 3D meshes are widely used in various applications. These models are captured with RGB-D sensors and processed for reconstruction. Accurate representation of the models is achieved through saliency estimation mechanisms. Saliency maps guide feature selection, compression, and simplification processes.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Behnam Ojaghi, Ferran Adelantado, Angelos Antonopoulos, Christos Verikoukis
Summary: This paper discusses the challenges and open issues of joint slicing and functional splitting, taking into account the complexity introduced by multiple slices and different functional splits. Depending on the density of RAN deployment, the additional complexity may be justified by the potential benefits.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Article
Computer Science, Information Systems
Behnam Ojaghi, Ferran Adelantado, Angelos Antonopoulos, Christos Verikoukis
Summary: 5G mobile networks are designed to support new vertical services with different performance requirements. Slicing in the radio access network offers an efficient solution for diverse 5G network needs by separating base station functionality between the CU and distributed remote radio heads. The proposed MIP framework and heuristic algorithm optimize throughput by slicing RAN, achieving near-optimal solutions in a short computing time.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Civil
Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis
Summary: This paper presents distributed multi-modal localization approaches for Connected and Automated vehicles, utilizing information diffusion on graphs and outperforming other state of the art methods by significantly reducing GPS error.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Ioannis Sarrigiannis, Angelos Antonopoulos, Kostas Ramantas, Maria Efthymiopoulou, Luis M. Contreras, Christos Verikoukis
Summary: This article introduces a federated core-edge 5G architecture for addressing the needs of 5G vertical industries. Two online SFC placement methods and enhanced lifecycle management methods are proposed. Experimental results show that the optimized placement solution is the most cost-effective.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Stavros Nousias, Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
Summary: Environment perception is crucial for semi-autonomous and fully autonomous vehicles. Deep Neural Networks (DNNs) have become the standard tool for perception solutions due to their impressive abilities in analyzing and modeling complex and dynamic scenes. However, the performance of DNNs comes at the cost of increased time and storage complexity, which can be problematic in automotive perception systems. Model Compression and Acceleration (MCA) techniques can address this problem by transforming large pretrained networks into smaller models, improving storage and execution efficiency.
Proceedings Paper
Computer Science, Hardware & Architecture
Prodromos-Vasileios Mekikis, Dimitrios Tyrovolas, Sotiris Tegos, Alexandros Papadopoulos, Alexandros Pitilakis, Sotiris Ioannidis, Ageliki Tsioliaridou, Panagiotis Diamantoulakis, Nikolaos Kantartzis, George Karagiannidis, Christos Liaskos
Summary: Reconfigurable Intelligent Surfaces (RISs) are artificial planar structures that manipulate wireless signals. This paper proposes a method of creating programmable wireless environments through the dynamic deployment of passive metasurfaces. By using a swarm of UAVs to position static metasurfaces, user service can be improved and security can be enhanced.
2022 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING, CSCN
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ioannis P. Chochliouros, Daniele Porcu, Dimitrios Brothimas, Nikolaos Tzanis, Nikolay Palov, Ralitsa Rumenova, Angelos Antonopoulos, Nicola Cadenelli, Markos Asprou, Lenos Hadjidemetriou, Sonia Castro, Pencho Zlatev, Bogdan Bogdanov, Thanassis Bachoumis, Antonello Corsi, Helio Simeao, Michalis Rantopoulos, Christina Lessi, Pavlos Lazaridis, Zaharias Zaharis, Anastasia S. Spiliopoulou
Summary: The deployment of smart grids can be greatly supported and enhanced by the expansion of 5G infrastructures, particularly at the distribution side where the number of monitoring devices and automation equipment exponentially increases. This article focuses on two selected use cases in the energy vertical sector, namely millisecond level precise distributed generation monitoring and realtime wide area monitoring. The need for including 5G facilities is emphasized.
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS. AIAI 2022 IFIP WG 12.5 INTERNATIONAL WORKSHOPS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ioannis P. Chochliouros, Daniele Porcu, Sonia Castro, Borja Otura, Paula Encinar, Antonello Corsi, Irina Ciornei, Rita Santiago, Angelos Antonopoulos, Nicola Cadenelli, Nicola di Pietro, August Betzler, Inmaculada Prieto, Fabrizio Batista, Elisavet Grigoriou, Georgios Ellinas, Lenos Hadjidemetriou, Dimitrios Brothimas, Ralitsa Rumenova, Athanasios Bachoumis, Anastasia S. Spiliopoulou, Michalis Rantopoulos, Christina Lessi, Dimitrios Arvanitozisis, Pavlos Lazaridis
Summary: This paper examines fundamental features of the Smart5Grid platform that can affect the implementation of 5G and NetApps. The specific context of smart energy grids, cloud native environment, and MEC environment are evaluated compared to the state of the Smart5Grid platform. A preliminary framework for defining NetApps is proposed based on the incorporation of these essential features in the project processes.
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS. AIAI 2022 IFIP WG 12.5 INTERNATIONAL WORKSHOPS
(2022)
Article
Computer Science, Information Systems
Christos Liaskos, Ageliki Tsioliaridou, Konstantinos Georgopoulos, Ioannis Morianos, Sotiris Ioannidis, Iosif Salem, Dionyssios Manessis, Stefan Schmid, Dimitrios Tyrovolas, Sotiris A. Tegos, Prodromos-Vasileios Mekikis, Panagiotis D. Diamantoulakis, Alexandros Pitilakis, Nikolaos V. Kantartzis, George K. Karagiannidis, Anna C. Tasolamprou, Odysseas Tsilipakos, Maria Kafesaki, Ian F. Akyildiz, Andreas Pitsillides, Maria Pateraki, Michael Vakalellis, Ilias Spais
Summary: This paper introduces a new approach to Extended Reality (XR) called iCOPYWAVES, which utilizes PWEs technology to achieve low-latency operation and cost effectiveness. By leveraging intelligent metasurfaces, iCOPYWAVES transforms the wave propagation phenomena into a software-defined process, allowing for selective copying of RF wavefronts and translation to visual input for XR headsets. The paper also demonstrates a proof-of-concept implementation through simulations.
Proceedings Paper
Engineering, Electrical & Electronic
Dimitrios Tyrovolas, Prodromos-Vasileios Mekikis, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Christos K. Liaskos, George K. Karagiannidis
Summary: This paper investigates the impact of aerial reconfigurable intelligent surfaces (RIS) on data collection, considering the factors of imperfect channel state and UAV fluctuations. The study shows that RIS can significantly improve the reliability and throughput of data transmission.
2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING)
(2022)
Article
Computer Science, Information Systems
Enrico Reticcioli, Giovanni Domenico Di Girolamo, Francesco Smarra, Angelo Torzi, Fabio Graziosi, Alessandro D'innocenzo
Summary: Software Defined Networking (SDN) is a new architectural paradigm that enables flexible and easier network management. Modeling and optimizing modern heterogeneous network infrastructures are key factors for better performance. This paper applies a data-driven methodology to learn accurate models of network devices and applies them in queueing control within SDN paradigm.
Review
Computer Science, Artificial Intelligence
A. Kloukiniotis, A. Papandreou, A. Lalos, P. Kapsalas, D. -V. Nguyen, K. Moustakas
Summary: This paper investigates strategies for robustifying scene analysis of adversarial road scenes and presents a taxonomy of defense mechanisms for countering adversarial perturbations. Additionally, it publishes the CarlaScenes dataset and evaluates the robustness of methods in mitigating adversarial attacks in scene analysis operations.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
