Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site

International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2024, Volume and Issue: 20(05), P. 66 - 77

Published: March 15, 2024

As part of the Europe-wide smart health innovation hub implemented in context Horizon Europe SHIFT-HUB project, our work concerns identification specific medical research ecosystems two fields, namely cardiovascular diseases and mental illness, with Cologne as central location. To achieve this aim, websites involved organizations were used for data purposes, members each respective ecosystem or network identified by acquiring information about their cooperation partners. A variety selection criteria have been applied to filter out whether these partners suitable be considered a further starting point research. The results indicate existence location, which various stakeholders, including healthcare institutions, providers, foundations, NGOs, business community, closely together. Larger institutions are usually networked at an international level, while smaller increasingly depend on foster regional partnerships. This promotes exchange knowledge level facilitates direct contact people affected, i.e., patients’ groups. Research both fields often receive financial support from commercial organizations, highlights importance community’s involvement exploiting promoting quality healthcare. article complexity interdisciplinarity particular ecosystems, all different categories comprising indispensable position. interaction amongst stakeholders international, regional, local levels can significantly help deploy resources more effectively improve life suffering any conditions.

Language: Английский

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Blockchain of Things for Securing and Managing Water 4.0 Applications

International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2024, Volume and Issue: 20(11), P. 4 - 15

Published: Aug. 8, 2024

The design of a smart water monitoring and control system in urban areas plays pivotal role providing efficient distribution mechanisms to reduce leakage, especially regions facing scarcity limited resources. convergence the Internet Things (IoT) blockchain technology improve system’s performance, enhance its security, provide decentralized tamper-proof environment presents an excellent opportunity evolve further form state-of-the-art Water 4.0 ecosystem. proposed Blockchain (BCoT) is introduced as pilot explore potential delivering managing applications. An Ethereum platform formed heart BCoT system, while Raspberry Pi 4 acted node that collected data from various sensors microcontrollers via MQTT programmed by Node-Red. LabVIEW software also provided supervisory acquisition (SCADA). was tested, functionality verified, showing good promise take systems new level innovation may resolve many challenges faced countries with resources address 21st-century “Water 4.0”

Language: Английский

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Secure Cybersecurity Information Sharing for Sectoral Organizations Using Ethereum Blockchain and IPFS

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Journal Year: 2023, Volume and Issue: 7(3), P. 670 - 680

Published: June 2, 2023

The COVID-19 pandemic has resulted in increased cross-sector cyber-attacks. Passive and reactive cybersecurity techniques relying solely on technology are insufficient to combat sophisticated attacks, necessitating proactive collaborative security measures minimize attacks. Cybersecurity Information Sharing (CIS) enhances via information exchange, but its implementation cloud services faces threats from man the middle (MITM) distributed denial of service (DDoS) as well a vulnerability storage involving centralized data control. These vulnerabilities result lack user confidence confidentiality, integrity, availability information. This paper proposes Secure (SCIS) secure sectoral organizations using private interplanetary file system (IPFS) network Ethereum Blockchain network. Private enables transparent transaction logging, while IPFS provides decentralized storage, addressing systems. outcomes tests reveal that suggested SCIS offers availability, integrity. high level protect exchanged between so can safely share utilize information.

Language: Английский

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Design of Data Information Technology Optimization based on Deep Learning

Published: Nov. 24, 2023

System optimization is the main content of big data technology, but in process technology management, changes and computing methods will manage influence as well minimize rationality system optimization. This paper proposes a deep learning algorithm to optimize analyze information enhance development level shorten time statistics formulation. Then, estimated comprehensively. Finally, continuous monitoring used technology. Deep method can identify relationship between data, better correlation, simplify complexity improve accuracy analysis. The (DL) accurately calculate parameters, greater, than traditional law. Therefore, meet requirements, appropriate for examination

Language: Английский

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