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悬挑式承插盘扣外脚手架在公共建筑施工中的应用 被引量:8
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作者 郑超 徐旭 朱海 《建筑施工》 2018年第8期1387-1389,共3页
在苏州工业园区体育中心服务楼工程中,一种悬挑式承插型盘扣式钢管支架被应用于服务楼塔楼6层及以上的外脚手架。工程施工中解决了盘扣式外脚手架搭设过程中遇到的技术难点,并对其施工工艺进行了介绍。经应用,取得了一定的社会和经济效... 在苏州工业园区体育中心服务楼工程中,一种悬挑式承插型盘扣式钢管支架被应用于服务楼塔楼6层及以上的外脚手架。工程施工中解决了盘扣式外脚手架搭设过程中遇到的技术难点,并对其施工工艺进行了介绍。经应用,取得了一定的社会和经济效益,其施工成果可供类似工程参考。 展开更多
关键词 高层建筑施工 承插盘扣 外脚手架 悬挑 模数式设计
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Modeling and Mining the Temporal Patterns of Service in Cellular Network
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作者 Sun Weijian Qin Xiaowei Wei Guo 《China Communications》 SCIE CSCD 2015年第9期11-21,共11页
Recent emergence of diverse services have led to explosive traffic growth in cellular data networks. Understanding the service dynamics in large cellular networks is important for network design, trouble shooting, qua... Recent emergence of diverse services have led to explosive traffic growth in cellular data networks. Understanding the service dynamics in large cellular networks is important for network design, trouble shooting, quality of service(Qo E) support, and resource allocation. In this paper, we present our study to reveal the distributions and temporal patterns of different services in cellular data network from two different perspectives, namely service request times and service duration. Our study is based on big traffic data, which is parsed to readable records by our Hadoop-based packet parsing platform, captured over a week-long period from a tier-1 mobile operator's network in China. We propose a Zipf's ranked model to characterize the distributions of traffic volume, packet, request times and duration of cellular services. Two-stage method(Self-Organizing Map combined with kmeans) is first used to cluster time series of service into four request patterns and three duration patterns. These seven patterns are combined together to better understand the fine-grained temporal patterns of service in cellular network. Results of our distribution models and temporal patterns present cellular network operators with a better understanding of the request and duration characteristics of service, which of great importance in network design, service generation and resource allocation. 展开更多
关键词 big data cellular network data mining hadoop SOM cluster service
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