In IaaS (Infrastructure as a Service) cloud environment, users are provisioned with virtual machines (VMs). However, the initialization and resource allocation of virtual machines are not instantaneous and usually minutes of time are needed. Therefore, to realize efficient resource provision, it is necessary to know the accurate amount of resources needed to be allocated in advance. For this pu...

Aiming at poor adaptability to illumination variation and single learning rate in traditional Gaussian mixture model, an improved moving object detection algorithm based on adaptive Gaussian mixture model is proposed in this paper, so as to achieve the goal of a self-adaptive background updating model. In this paper, we analyze the existed algorithms and put forward the method to make use of co...

Context: The underlying uncertainty in self-adaptive systems aggravates the complexity of selecting best adaptation action alternative, and handling requirements trade-offs. To efficiently tackle uncertainty, it is necessary to have a comprehensive overview of different types of uncertainty and their specifications. Objective: In this paper we aim at a) reviewing the state-of-the-art of archite...

OBJECTIVES This pilot study aimed to compare sensory processing, motor skills and adaptive behaviors in children with a double diagnosis of Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) (ASD+ADHD) with children with ADHD alone and to examine the association of sensory processing and motor skills with adaptive behaviors (self-care). METHOD Thirty children a...

This article presents a method consisting of 5 steps for assuring that self-imposed changes made by adaptive systems do not compromise safety. The method is intended to be used within the field of safety critical systems development with respect to applications where adaptive neural networks are part of some process control loop. The method is to provide a means for assuring before commissionin...

In this paper, we provide a general purpose simulation framework for complex adaptive systems. Our framework will deal with a number of important criteria including self-organization, emergence, and others. We then show that the framework can capture the common underlying structure of complex adaptive systems through demonstrating its application in specific biological domains.