Название: Digital Cities Roadmap
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Программы
isbn: 9781119792055
isbn:
Figure 1.25 Framework ML concept in the SB context.
1.11 Conclusion and Future Research
Research results in this study revealed the value of establishing a sustainable framework for emerging development on the basis of green design and automated project execution in smart buildings. It will be achieved before artificial intelligence is used to accomplish smart buildings in the context of nanotechnology, structural knowledge simulation and Lean Architecture. The challenge of global change remains a major concern, given new technologies and smart buildings in developing countries.
Figure 1.26 Taxonomy of SB Services.
In Africa, however, we will ensure that the efficient use of green infrastructure is first addressed in emerging technology, including artificial intelligence and smart buildings. The coordinated project execution often guarantees that the various sources of knowledge recorded in building information models and lean design are adequately applied by the presence at a strategic level of specific categories of practitioners. For starters, IT specialists are often an important part of the strategic design team as a case study, Eko Atlantic City has reported that Eko Atlantic City and Victoria Island now cover more than five million square meters of Great Wall of Lagos, which is developed more than two miles offshore. One big problem was the possibility of extreme floods. The tidal waves used to spray water and scrap daily on the major coastal path called the Ahmadu Bello route until the Great Wall Builder of the modern community design during development to use environmentally sustainable products and state-of-the-art technology. Further analysis will demonstrate when the first buildings are complete, the essence of smart buildings and level of automated project execution at the location.
Table 1.8 Application of smart buildings [56].
Application category | Characteristics | ML algorithm | Technology used |
Elderly Population’s Home Care | Recognition of basic five activities, as feeding, grooming, dressing mobility and stairs | SVM | Wrist worn multi-sensors |
Framework covers both sensing and the monitoring services for assisting elders at smart homes environment | NA | RFID | |
Elderly monitoring subsystem, home monitoring subsystem and the caretaker monitoring subsystem | NA | Vital sign sensors, GPS | |
Support elderly people in carrying out a longer independent life at home | Neural Network | Illumination sensor, temperature sensor, door sensors and RFID | |
Energy Efficiency | It becomes functional on a knowledge base that stores all information needed to fulfill the goals of energy efficiency and user comfort | NA | Household appliances |
Stationary and mobile user interfaces for monitoring and controlling the smart environment | NA | Wireless power metering plugs, household devices. | |
Designing and evaluating end consumer energy
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