Browsing by Author "Zeng, Yong"

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    Concept and Methods for the Development of Blockchain based Cloud Manufacturing
    (2023-04-30) Wang, Binni; Tu, Paul; Li, Simon; Xue, Deyi; Thekinen, Joseph; Patterson, Raymond; Zeng, Yong
    Cloud manufacturing is seen as a promising improvement for networked manufacturing, with potential for achieving higher service quality at a lower cost, although the progress of its application has not met expectations. The main obstacle hindering its adoption is the reluctance of potential users to share data with cloud manufacturing due to concerns about data safety issues caused by central management. To address this drawback, the integration of a decentralized blockchain system has been proposed as a promising solution. However, the traceable data and provable system features of blockchain technology cannot guarantee data security, particularly for small or moving objects that lack the ability for data verification. Therefore, blockchain-based cloud manufacturing systems must have the ability to ensure data reliability. Moreover, the scalability problem must be addressed for the adoption of a blockchain-based system. This PhD thesis proposes a feasible architecture for a blockchain-based cloud manufacturing system and evaluates the reliability of perceived data through data similarity measurement. Firstly, the architecture of the system is outlined, with the use of rollup technology to address scalability issues. Second, the proper fee setting for the system is analyzed. For data similarity measurement, comparable data is selected using a modified clustering algorithm, and the data is described using polygon-based descriptions, including existing and proposed polygon descriptions. Finally, data similarity measurement is transformed into a similarity comparison of polygon descriptions, with methods such as multi-objective programming-based similarity comparison and overlap area-based similarity comparison applied for this purpose. The feasibility of the proposed methods is verified through a case study.
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    Identifying personalized barriers for hypertension self-management from TASKS framework
    (2024-08-14) Yang, Jiami; Zeng, Yong; Yang, Lin; Khan, Nadia; Singh, Shaminder; Walker, Robin L.; Eastwood, Rachel; Quan, Hude
    Abstract Objective Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The objective of this research is to identify and categorize personalized barriers to hypertension self-management using the TASKS framework (Task, Affect, Skills, Knowledge, Stress). This study aims to enhance patient-centered strategies by aligning support with each patient's specific needs, recognizing the diversity in their unique circumstances, beliefs, emotional states, knowledge levels, and access to resources. This research is based on observations from a single study focused on eight patients, which may have been a part of a larger project. Results The analysis of transcripts from eight patients and the Global Hypertension Practice Guidelines revealed 69 personalized barriers. These barriers were distributed as follows: emotional barriers (49%), knowledge barriers (24%), logical barriers (17%), and resource barriers (10%). The findings highlight the significant impact of emotional and knowledge-related challenges on hypertension self-management, including difficulties in home blood pressure monitoring and the use of monitoring tools. This study emphasizes the need for tailored interventions to address these prevalent barriers and improve hypertension management outcomes.