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Extraction of abstracted sensory data to reduce the execution time of context-aware services in wearable computing environments.

, , , , and . Concurr. Comput. Pract. Exp., (2020)

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An Extensible Data Enrichment Scheme for Providing Intelligent Services in Internet of Things Environments., , and . Mob. Inf. Syst., (2021)Aspects of Providing Robotic Healthcare Services for the Elderly based on HRI-enabled Applications in a Healthcare Community Center., , and . SMA, page 367-372. ACM, (2020)Planning System Architecture of Fat-client Management for Customized Healthcare Services in Edge Computing Environment., , , , and . ICIIT, page 91-96. ACM, (2020)A rule-based context transforming model for robot services in internet of things environment., , , and . URAI, page 331-336. IEEE, (2017)Extraction of abstracted sensory data to reduce the execution time of context-aware services in wearable computing environments., , , , and . Concurr. Comput. Pract. Exp., (2020)A method to generate context information sets from analysis results with a unified abstraction model based on an extension of data enrichment scheme., , , , and . Concurr. Comput. Pract. Exp., (2021)Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors., , , and . ACSOS Companion, page 42-47. IEEE, (2020)A Schema Generator for Collected Data from Wearable Devices for Reliable Data Ingestion., , , and . WIMS, page 26:1-26:4. ACM, (2019)A system architecture to control robot through the acquisition of sensory data in IoT environments., , and . URAI, page 749-752. IEEE, (2016)Improving blocked matrix-matrix multiplication routine by utilizing AVX-512 instructions on intel knights landing and xeon scalable processors., , , and . Clust. Comput., 26 (5): 2539-2549 (October 2023)