1,865 research outputs found

    Dynamically Iterative MapReduce

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    [[abstract]]MapReduce is a distributed and parallel computing model for data-intensive tasks with features of optimized scheduling, flexibility, high availability, and high manageability. MapReduce can work on various platforms; however, MapReduce is not suitable for iterative programs because the performance may be lowered by frequent disk I/O operations. In order to improve system performance and resource utilization, we propose a novel MapReduce framework named Dynamically Iterative MapReduce (DIMR) to reduce numbers of disk I/O operations and the consumption of network bandwidth by means of using dynamic task allocation and memory management mechanism. We show that DIMR is promising with detail discussions in this paper.[[notice]]補正完畢[[incitationindex]]SCI[[incitationindex]]EI[[booktype]]紙本[[booktype]]電子

    MAAIG: Motion Analysis And Instruction Generation

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    Many people engage in self-directed sports training at home but lack the real-time guidance of professional coaches, making them susceptible to injuries or the development of incorrect habits. In this paper, we propose a novel application framework called MAAIG(Motion Analysis And Instruction Generation). It can generate embedding vectors for each frame based on user-provided sports action videos. These embedding vectors are associated with the 3D skeleton of each frame and are further input into a pretrained T5 model. Ultimately, our model utilizes this information to generate specific sports instructions. It has the capability to identify potential issues and provide real-time guidance in a manner akin to professional coaches, helping users improve their sports skills and avoid injuries.Comment: Accepted to the ACM Multimedia Asia 2023 Workshop on Intelligent Sports Technologies (WIST

    DESIGNING A SERVICE PORTFOLIO FOR A TAIWANESE HOSPITAL TELECARE CENTER

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    National Ministry of Health and Welfare defined Tele health care (Telecare) as a combination of medical care, ICT technology, electronic medical equipment, and other cross-cutting professional to allow people to get the health care and preventive health services in the community and familiar home environment and aging in place. To date, telecare has become the world medical technology and services industry trend. However, most elderly are significantly less familiar with technology use than the general population, inhibiting telecare adoption. Based on service portfolio concept, we design core and supplementary service elements for a Taiwanese telecare center. To further examine how patients perceive the values of these service elements in different adoption stages, we conduct surveys with potential clients and current patients of the telecare center. We take customers adoption process as an indicator of “value creation” and examine how the values of service elements vary across different adoption stages. Meanwhile, service quality and productivity should be properly integrated since quality focuses on the benefits created for the customer’s side of the equation, but productivity addresses the financial costs incurred by the hospital. If not properly integrated, these two foci can be in conflict. Thus, our service portfolio will consider not only the value of the services but also the available management resources to run the services. The results suggest approaches to re-allocating the limited resource to the most valuable service elements perceived by customers, and thus help hospitals to drive potential clients, sustain current patients, and maintain service quality of the hospital simultaneously

    Drivers of eHealth Adoption: Linking eHealth Adoption to Service Concept

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    Researchers and practitioners are keenly interested in understanding what drives eHealth adoption in recent years. This is largely because, while eHealth can lead to cost-effective and quality health care, the actual adoption rate of eHealth remains low across countries. In prior literature, it was clearly indicated that well-designed eHealth services are critical to eHealth adoption. In this study, our findings further show that, what may motivate patients’ adoption is more strongly associated with the design of eHealth caring service, and the design of eHealth IT service is more likely to be associated with patients’ continual use
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