Optimal dynamic data layouts for 2D FFT on 3D memory integrated FPGA

Chen, Ren; Singapura, Shreyas G.; Prasanna, Viktor K.

doi:10.1007/s11227-016-1772-1

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…In the study of population activity, the quantitative analysis method of thermal diagram was used, which provided a practical reference case for the application of big data in the simulation of landscape layout optimization [7,8]. Taking Beijing forest park as the research object, the word frequency analysis software is used to collect and analyze the network text, so as to obtain the social service value of different forest parks and introduce the network text into landscape evaluation [9,10]. By collecting mobile phone location data in scenic area, the behavior rules of tourists are studied to provide a basis for layout optimization simulation management and decisionmaking in scenic area, and the research on tourists' behavior characteristics based on positioning data is a hot research topic at present [11,12].…”

Section: Introductionmentioning

confidence: 99%

Landscape Image Layout Optimization Extraction Simulation of 3D Pastoral Complex under Big Data Analysis

Yue-lin

2020

Complexity

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Big data has brought about opportunities for landscape architecture, changing the design thinking of layout optimization simulation, expanding the platform for public participation in layout optimization simulation design, reflecting social and humanistic care, and promoting the integration of discipline cooperation and data. At the same time, it also brings about challenges. The proposal of data theory, the acquisition and analysis of data, and the protection of privacy are all issues that we need to face and solve. First, build a layout optimization simulation program under the background of big data. Follow the procedures of conventional layout optimization simulation, add big data analysis technology to the preliminary analysis, layout optimization simulation design, and later evaluation management, introduce new data processing methods, and build a theoretical framework of landscape optimization simulation methods that integrate new and traditional data. Second, studying the evolution of the landscape image layout of the three-dimensional pastoral complex is different: the overall landscape image layout of the three-dimensional pastoral complex shows a trend of fragmentation and heterogeneity. Among them, the arable land is gradually fragmented, the wetland and water area are simplified in form, the woodland and grassland patches are gradually distributed, the fragmentation is reduced by 76.19%, and the connectivity index is gradually increased. From a spatial perspective, the edge area outside the Fourth Ring Road becomes the most obvious area of fragmentation tendency. Finally, by introducing big data into the landscape layout optimization simulation, a layout optimization simulation method based on big data is constructed and used in the layout optimization simulation of the landscape image layout of the three-dimensional pastoral complex to guide the participatory layout optimization simulation.

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