In order to handle spatial data efficiently, as required in computer aided design and geo-
data applications, a database system needs an index mechanism that will help it retrieve …

Cloud computing promises users massive scale outsourced data storage services with much
lower costs than traditional methods. However, privacy concerns compel sensitive data to be …

Locality-sensitive hashing (LSH) is a promising family of methods for the high-dimensional
approximate nearest neighbor (ANN) search problem due to its sub-linear query time and …

We are witnessing a proliferation of Internet-worked, geo-positioned mobile devices such as
smartphones and personal navigation devices. Likewise, location-related services that …

Indoor spaces accommodate large parts of people's life. The increasing availability of indoor
positioning, driven by technologies like Wi-Fi, RFID, and Bluetooth, enables a variety of …

One of the most attractive things about cloud computing from the perspective of business
people is that it provides an effective means to outsource IT. The behaviors of business …

The characteristics of the built environment and the configuration of public facilities can
affect the health and well-being of older adults. Recognizing the range of daily activities and …

Secure geometric range query, which aims to retrieve data points within a given geometric
range from an encrypted dataset in the cloud, attracts more and more attention due to its …

Index structures are powerful tools for improving query performance and reducing disk
access in database systems. Multi-dimensional indexes, in particular, are used to filter …

Virtual machines (VM) offer simple and practical mechanisms to address many of the
manageability problems of leveraging heterogeneous computing resources. VM live …