Advanced Journal of EngineeringOpen Access

Advanced Journal of Engineering[AJE] is an international peer-reviewed journal that publishes original and high-quality research papers in all related areas. All papers published will be open access to all readers. To build a platform for scientific research and academic exchange for scholars, focusing on the development and research, introducing worldwide research, theory and practice, and promoting international exchanges.

ISSN: N/A (Print)
Frequency: Bimonthly
ISSN: 2771-9863 (Online)
Website: https://doi.org/10.55571/aje
Email: journal@4dpublishinggroup.com /aje@4dpublishinggroup.com
Indexing and Abstracting: CrossRef; ResearchBib; WorldCat; CiteFactor

2022 Volume 1 - Oct.2022 Vol.1 No.4

Facilitating digital empowerment for Intelligent cares in mountain regionOpen Access

DOI:https://doi.org/10.55571/aje.2022.10010
Authors:Shi-ming Tang, Guanmian Liang, Xue Bai, Silun Gu, Lei Ye, Chengsheng Xu, etc.
Affiliation:Hangzhou Normal University, 311121, Hangzhou, Zhejiang, China
IBMC of Chinese Academy of Science, 310022, Hangzhou, Zhejiang, China
Hangzhou Dishui Public Welfare Service Centre, 310000, Hangzhou, Zhejiang, China
Hangzhou Compasses Network Tech. Co., Ltd, 310003, Hangzhou, Zhejiang, China
Central Enterprise Innovation Alliance 310012, Hangzhou, Zhejiang, China
Information:Advanced Journal of Engineering, October 2022 Vol.1, No.4, pp 52-56
Abstract:In the time of aging, creating high-quality elderly care is key to improving social well-being in China. Strengthening digital empowerment and thus improving digital management, technologies and products such as the Internet technology, cloud computing, big data, and intelligent hardware becomes the… more >>

Research on Data Producing Services across Compute EnginesOpen Access

DOI:https://doi.org/10.55571/aje.2022.10011
Authors:Qi Wang, Ruiyun Wang, Ming Lei
Affiliation:
China Justice Big Data Institute Co., LTD., Beijing, China
China Electronics Technology Group Corporation 15, Beijing, China
Information:Advanced Journal of Engineering, October 2022 Vol.1, No.4, pp 57-68
Abstract:Currently, data production services are facing the following challenges: achieving cross-computing engine scheduling, automated accurate labeling, and on-demand task scheduling. In this paper, cross-computing engine scheduling technology for business data production, domain-oriented business data au… more >>