Visualization of Big Spatial Data using Coresets for Kernel Density Estimates

The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet it can introduce unwanted errors. We describe a method for subsampling of spatial data suitable for creating kernel density estimates from very large data and demonstrate that it results in less error than random sampling. We also introduce a method to ensure that thresholding of low values based on sampled data does not omit any regions above the desired threshold when working with sampled data. We demonstrate the effectiveness of our approach using both, artificial and real-world large geospatial datasets

A Study on Women\u27s Ability in Vernacular Stories of Ming Dynasty

北岡正子教授退休記念

Buffeting research of suspension steel frame for ±500 kV converter station DC filter

Being a part of a coastal ± 500 kV DC filter converter station, the suspension steel frame is studied in this paper on the field of strong wind induced vibration. In order to analyze the characteristics of the structure, the response of the suspension steel frame under fluctuating wind load is analyzed by FE method. The study is significant on the area of design and maintenance

Head-to-Head: Which is the Better Cloud Platform for Early Stage Start-up? Docker versus OpenStack

The cloud platform has been the top choice when technology startup companies choose the best platforms to deploy their systems. This paper presents a series of decision procedures for choosing the Infrastructure as a Service (IaaS) in cloud computing from the perspective of technology startup companies. We target startup companies as potential users. We have developed a decision tree for assisting entrepreneurs and developers to choose the IaaS according to performance and usability of Docker versus OpenStack. We use the Yahoo! Cloud Serving Benchmark (YCSB) as a benchmark for key-value storage. The target databases include MongoDB and Cassandra. The decision assists the technology startup companies to choose the cloud platform with the best fit while developing and deploying the web services.Ope