If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixe...If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixed model for all components will not be reasonable. To solve this problem, this paper combines a single reliability growth model with an architecture-based reliability model, and proposes an optimal selecting approach. First, the most appropriate model of each component is selected according to the historical reliability data of the component, so that the evaluation deviation is the smallest. Then, system reliability is evaluated according to both the relationships among components and the using frequency of each component. As the approach takes into account the historical data and the using frequency of each component, the evaluation and prediction results are more accurate than those of using a single model.展开更多
随着城市人口、物资、信息流动的日益频繁,城市居民活动特征和生产生活方式更加复杂多变,同时,城市空间无序扩张,发展规划不足,引发了交通堵塞、人口流失、公共空间缺乏等一系列问题,最终引发了城市活力消解难题。因此,如何科学高效地...随着城市人口、物资、信息流动的日益频繁,城市居民活动特征和生产生活方式更加复杂多变,同时,城市空间无序扩张,发展规划不足,引发了交通堵塞、人口流失、公共空间缺乏等一系列问题,最终引发了城市活力消解难题。因此,如何科学高效地进行城市活力定量分析成为了重点研究问题。本文基于OpenStreetMap、百度地图兴趣点(Point of Interest,POI)、微信宜出行、美团、高德建筑物轮廓等多源地理大数据,从人与空间双重角度,分别对人群活力、活力多样性、活动满意度和空间交互潜能进行量化研究;引入空间权重矩阵,构建了改进的空间优劣解距离法(Technique for Order Preference by Similarity to Ideal Solution,TOPSIS)综合活力评价模型,实现对南京市中心城区综合活力的评价,最后分析了工作日、周末的街区活力空间分布特征及活力极的异同,并比较了传统的熵值TOPSIS综合活力评价结果,以此探究空间关系对城市街区活力的影响,以求帮助城市规划者系统的认识当前城市活力现状,为城市规划研究提供一种可行性方案。展开更多
文摘If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixed model for all components will not be reasonable. To solve this problem, this paper combines a single reliability growth model with an architecture-based reliability model, and proposes an optimal selecting approach. First, the most appropriate model of each component is selected according to the historical reliability data of the component, so that the evaluation deviation is the smallest. Then, system reliability is evaluated according to both the relationships among components and the using frequency of each component. As the approach takes into account the historical data and the using frequency of each component, the evaluation and prediction results are more accurate than those of using a single model.
文摘随着城市人口、物资、信息流动的日益频繁,城市居民活动特征和生产生活方式更加复杂多变,同时,城市空间无序扩张,发展规划不足,引发了交通堵塞、人口流失、公共空间缺乏等一系列问题,最终引发了城市活力消解难题。因此,如何科学高效地进行城市活力定量分析成为了重点研究问题。本文基于OpenStreetMap、百度地图兴趣点(Point of Interest,POI)、微信宜出行、美团、高德建筑物轮廓等多源地理大数据,从人与空间双重角度,分别对人群活力、活力多样性、活动满意度和空间交互潜能进行量化研究;引入空间权重矩阵,构建了改进的空间优劣解距离法(Technique for Order Preference by Similarity to Ideal Solution,TOPSIS)综合活力评价模型,实现对南京市中心城区综合活力的评价,最后分析了工作日、周末的街区活力空间分布特征及活力极的异同,并比较了传统的熵值TOPSIS综合活力评价结果,以此探究空间关系对城市街区活力的影响,以求帮助城市规划者系统的认识当前城市活力现状,为城市规划研究提供一种可行性方案。
