• KIEAE Journal
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• v.10 no.5
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• pp.43-55
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• 2010

This research investigated 162 residential unit plans which were located in Seoul and Gyonggi Province ranging from 58 to $118m^2$ unit net area recently. Through the investigation of unit plans, a matrix was developed based on the 5 criteria for space composition types. 5 criteria are building stock types, W/D ratio of units, unit net area, number of bay to the main orientation, and openness types. After review the matrix, 10 typical unit types were selected. At the same time, quantitative evaluation indicators were developed based on the 4 criteria such as efficiency, openness, flexibility, environmental sustainability. On each criterion, 3 indicators were developed, and measured on 162 residential unit plans. Firstly, correlation analysis were pursued on 5 criteria for space composition types and 12 quantitative evaluation indicators, and reviewed on each other. Finally, quantitative evaluation indicators of 10 typical unit types were displayed on radar charts in order to show the integrated evaluation on 4 criteria such as efficiency, openness, flexibility, environmental sustainability. From the reviews and radar chart analyses, advantages, disadvantages, and improvements on each typical unit type were presented as research results.

• Steel and Composite Structures
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• v.51 no.5
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• pp.473-485
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• 2024

This paper proposes a composite form of fuzzy adaptive control plan based on a robust observer. The fuzzy 2D control gains are regulated by the parameters in the LMIs. Then, control and learning performance indices with weight matrices are constructed as the cost functions, which allows the regulation of the trade-off between the two performance by setting appropriate weight matrices. The design of 2D control gains is equivalent to the LMIs-constrained multi-objective optimization problem under dual performance indices. By using this proposed smart tracking design via fuzzy nonlinear criterion, the data link can be further extended. To evaluate the performance of the controller, the proposed controller was compared with other control technologies. This ensures the execution of the control program used to track position and trajectory in the presence of great model uncertainty and external disturbances. The performance of monitoring and control is verified by quantitative analysis. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.