An image analysis on unsymmetrical structures and a geometric design of "Koto" bridge at "Tomo"

“Tomo”“江东”桥不对称结构的图像分析和几何设计

• 批准号: 02650375
• 负责人: INOUE Noriyuki
• 金额: $ 0.64万
• 依托单位: Fukuyama University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (C)
• 财政年份: 1990
• 资助国家: 日本
• 起止时间: 1990 至 1991
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-02650375/
• 关键词: regional planning; regional culture; landscape; bridge; design; psychological analysis; statistic analysis; chronological table; 橋梁; 橋梁の畿何 設計; 非対称構造物; 地緑文化; 景観工学; 時代循環の数量的分析

The results of the study are as follows :1) An investigation of literature of the local history of "Tome" shows that it is a historic place of an international friendship with Korea, the traditional Japanese "koto" music and rehabilitation of defeated men of power.2) Eight sub-areas of Fukuyama City were analyzed in the aspect of the local psychological image implies that "Tome" should participate a feminine image.3) Another psychological analysis shows that "koto" (an musical instrument) has a strong feminine image and its image will agree with thelocal image of "Tome".4) Another psychological analysis of the image of circle and regular polygons shows that circle gives the most feminine image and square gives the most masculine image. Trianglegenerally gives masculine image but that with less altitude than base will give feminine image.5) Correlation and regression analyses of the Japanese chronological table show that the hypothesis of the 4 cycle progress of the Japanese history, opposition - politics-economics - culture, show that the cycle time of the progression is estimated to be 150 years but the correlation coefficient of the model is not so good at present.

研究结果如下：1）对“多米”当地历史文献的调查显示，它是与韩国国际友好、日本传统“筝”音乐和战败者康复的历史场所。 2）从当地心理形象方面对福山市的八个分区进行了分析，暗示“Tome”应该参与女性形象。3）另一种心理分析表明“koto”（一种乐器）具有很强的女性形象。女性形象和它的形象会吻合4）对圆形和正多边形形象的另一项心理分析表明，圆形给出了最女性化的形象，方形给出了最男性化的形象。三角形一般给人男性形象，但高度低于底座的则给人女性形象。 5）日本年表的相关和回归分析表明，日本历史4周期进程的假设，反对派-政治经济-文化，表明进展的周期时间估计为150年，但目前模型的相关系数不太好。