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Self-adaptive cyber-city system
Supriana I.a, Surendro K.a, Dipaloka A.b, Ramadhan E.c
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia
b Department of Informatics Engineering, Siliwangi University, Tasikmalaya, Indonesia
c Department of Informatics Engineering, Sriwijaya University, Palembang, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 by Taylor and Francis Group, LLC.A characteristic system cyber city in the concept of the internet of things (IoT) has the diversity of elements, and they are very dynamic. It is caused by the representation of the physical and the virtual varieties of real-world objects that have a very rapid growth, so the demands on the ability of self-adaptation become the requirements needed to meet the scope of the system life cycle. The proposed solution to this problem will be formulated through two approaches—first, the importance of understanding for capturing the variability in the context of IoT and the behavior of the system through the context domain modeling with the goal-based approach. Second, the availability of the knowledge structure, and the quality of the inference engine, which can handle the scope of the solution space broadly and flexibly. Both of these can be realized through inference modeling context. This chapter gives us a theoretical and applicative view, consisting of the exposure modeling concepts, strategies, algorithms, software implementation, model components, and the alternative tools that can be used. In the last section, we present a discussion of case studies and general guidelines for the development of the system, so the developers and researchers can obtain a clearer illustration to make efforts in practical or further studies, and in a future job.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1201/9781315156026[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]