The support vector machines (SVM), as a novel type of learning machine, were used to develop a quantitative structure-mobility relationship (QSMR) model of 58 aliphatic and aromatic carboxylic acids based on molecular descriptors calculated from the structure alone. Multiple linear regression (MLR) and radial basis function neural networks (RBFNNs) were also utilized to construct the linear and...

In many developing countries, half the population lives in rural locations, where access to essentials such as school materials, mosquito nets, and medical supplies is restricted. We propose an alternative method of distribution (to standard road delivery) in which the existing mobility habits of a local population are leveraged to deliver aid, which raises two technical challenges in the areas...

JDMS, Volume 2, Issue 2, April 2005 Pages 57–69 © 2005 The Society for Modeling and Simulation International The Mobility Aircraft Availability Forecasting (MAAF) model prototype development and study effort was initiated to help the United States Air Force Air Mobility Command (AMC) answer the question, “How can we accurately predict mission capable (MC) rates?” While perfect prediction of air...

Les capacités toujours plus grandes des réseaux sans-fil couplées à la réduction de l’encombrement des terminaux mobiles rendent possibles de nouvelles applications multimédia et mobiles. Parmi les nombreux problèmes soulevés, la continuité des transmissions de contenus multimédia est compromise par la mobilité des terminaux. Dans cet article, nous proposons deux composants majeurs de la gestio...

Wireless Sensor Nodes (SNs), the key elements for building Internet of Things (IOT) have been deployed widely in order to get and transmit information over the internet. IPv6 over low power personal area network (6LoWPAN) enabled their connectivity with IPV6 networks. 6LoWPAN has mobility and it can find an extensive application space only if provides mobility support efficiently. Existing mobi...

This work describes the neural network technique to solve location management problem. A multilayer neural model is designed to predict the future prediction of the subscriber based on the past predicted information of the subscriber. In this research work, a prediction based location management scheme is proposed for locating a mobile terminal in a communication without losing quality maintain...

Overseas students constitute the paramount talent resource for China, and, hence, overseas mobility prediction is crucial formulation of China’s strategy. This study proposes a new model predicting number studying abroad and returning students, based on grey system theory, owing to limited data uncertainty influencing factors. The proposed introduces change-point detection determine modeling ti...

Locations of sensors in wireless sensor networks (WSNs) play a vital role in many applications. Regarding the mobility of the nodes in some of the applications, it is necessary to have a localization algorithm that can support the mobility of nodes. In this paper a demand-based algorithm has been presented which uses information of messages for update their tables so they can help to localize t...

—One of the key features of the Media Independent Handover (MIH) framework, introduced by the IEEE 802.21 standard, is the support for events, including network degradation events which can be triggered based on link layer metrics and propagated to upper layer mobility protocols. As a framework, MIH does not provide specifics on how these events are triggered. Typically events are triggered whe...

In this paper, we present an analytical and simulated study on the performance of adaptive vehicular ad hoc networks (VANET) priority based on Transmission Distance Reliability Range (TDRR) and data type. VANET topology changes rapidly due to its inherent nature of high mobility nodes and unpredictable environments. Therefore, nodes in VANET must be able to adapt to the ever changing environmen...