This paper introduces host load trace playback, a new technique for generating a background workload from a trace of the Unix load average that results in realistic and repeatable CPU contention behavior. Such workloads are invaluable for evaluating various forms of distributed middleware, including resource prediction systems and application-level schedulers. We describe the technique and then...

Collecting and analyzing various personal biological and environmental sensing data is important for various medical services, for example, lifestyle self-check support, personalized medical support and medical studies for the public purpose. We aim to deploy in 5 to 10 years and are studying on a physiological and environmental information processing platform based on wearable sensors, for ser...

Personal financial management is a critical step to help alleviate poverty in developing countries. Unfortunately, there are few applications currently available that cater to this need in a specialized manner. TrackIt is a mobile application that integrates speech-to-text and natural language processing technologies to help users track cash transactions in an easy, fast, and unobtrusive manner...

Transaction execution in mobile environments needs to be flexible to support typical mobile computing characteristics, like movement, disconnections and limited resources, and also to support the variety of transactional properties that might be required by different applications. This paper proposes a solution for flexible transaction processing in mobile applications, and describes a middlewa...

Multi-transmitter multi-receiver passive radar, which locates target in the surveillance area by the reflected signals of the available opportunistic transmitter from the target, is of interest in many applications. In this paper, we investigate different signal processing scenarios in multi-transmitter multi-receiver passive radar. These scenarios include decentralized processing of reference ...

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...