集成智能社区框架和应用,在第四次工业革命和大数据时代支撑创新数字经济

H. Zaman, Azlina Ahmad, Norsiah Abdul Hamid, Aw Kien Sin, A. Hussain, M. Hannan, Hanif Md. Saad
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引用次数: 4

摘要

本研究涉及智能社区应用程序的设计,以在第四次工业革命大数据时代维持创新经济。本研究包括五部分研究:第一部分调查了创新数字马来西亚概念维度的适当驱动因素,然后将数字信号处理、可视化和适当的环境计算理论应用于马来西亚智慧城市综合智能社区的设计框架;第二部分是对两位著名专家的半结构化采访;第三部分涉及公众调查,以验证马来西亚KS的重要维度,KS的重要指标,并验证基于创新的数字马来西亚背景下马来西亚KS的可推广测量模型。基于5轮德尔菲,定义了数字马来西亚背景下的KS;第五部分涉及工具和设备的开发,作为大数据时代特定人群可持续性和福祉的概念证明。在本研究的背景下,智慧社区考虑了创新的数字马来西亚知识社会(KS)模式:技术、教育、治理、社会和环境。基于AMOS输出,使用结构方程建模(SEM)验证了该框架的“拟合优度”模型。重要的因素与三个主要因素有关:环境:清洁度;安全和健康。智能社区的数据可以通过使用大数据分析的仪表盘技术呈现,并为社会福祉共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated smart neighborhood framework and application to sustain an innovative digital economy in the 4IR and big data era
This study involved the design of a smart neighborhood application, to sustain an innovative economy in this 4IR Big Data era. This study involved a five-part study : Part 1 investigated on the appropriate drivers of the dimension of the innovative Digital Malaysia concept before theories of digital signal processing, visualization and appropriate ambient computing could be applied into the design framework of the Integrated Smart Neighborhood in a Smart City in Malaysia; Part II, involved a semi-structured interview with two prominent experts; Part III involved public survey conducted to verify the significant dimensions of Malaysia's KS, the important indicators of KS and to validate the generalizable measurement model for Malaysia's KS based on the innovative Digital Malaysia context. Based on the 5-Round Delphi, KS in the Digital Malaysia context was defined; Part V involved development of tools and devices as proof of concept for sustainability and wellbeing of a specific section of the population in the big data era. A smart neighborhood in the context of this study takes into consideration the Knowledge Society (KS) model in an innovative Digital Malaysia KS Dimensions: Technology, Education, Governance, Social and Environment. The framework was verified for its ‘goodness of fit’ model using the Structural Equation Modeling (SEM), based on the AMOS output. The elements that were significant were related to three main elements: environment: cleanliness; security and health. The data in the smart neighborhood can be presented by the dashboard technology using Big Data Analytics, to be shared for societal well-being.
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