This paper provides a review of recent results on scheduling with controllable processing
times. The stress is on the methodological aspects that include parametric flow techniques …

There is increasing interest in systems which attempt to automate a task or a transaction
using speech input and output. To function effectively with imperfect speech recognition …

Fine-grained vehicle recognition plays an important part in applications, such as urban traffic
management, public security, and criminal investigation. It has great challenges due to the …

In this paper, we study a scheduling problem on a single machine, provided that the jobs
have individual release dates and deadlines, and the processing times are controllable. The …

Many of the real-time tasks within embedded real-time control applications fall into the
imprecise category. Such tasks are iterative in nature, with output precision improving as …

The imprecise computation model is an extension of the traditional real-time processing
model. In this model, each imprecise task is logically divided into two portions: a mandatory …

Real-time computing provides insightful ways to explore the optimization in resource
usages, especially from the time point of view. Nevertheless, real-time task scheduling is …

Federating the portability and mobility of mobile devices with the computation capacity on
desktop computers have been a widely discussed computation model for the next decade …

The contribution of this work is to enable time-sensitive, computation intensive applications
on wearable interactive devices. To achieve this goal, this work developed an elastic …

The paper presents a method based on fuzzy set theory for extracting features from
handwritten words. After the feature extraction and word segmentation process, a …