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In this paper, we propose a new structure that combines Grey Prediction with Line of Sight (GP-LOS) to predict yaw angle in order to achieve path following for autonomous underwater vehicle (AUV). The proposed structure can be described by two stages. First, we use grey prediction to predict the position coordinates of the next time. Second, taking advantage of the principles of the Line of Sight,...
In this work we tackle the bus stop selection step for the School Bus Routing Problem (SBRP). Our goal is to minimize the number of bus stops in order to assign all students to a bus stop respecting a home-to-bus-stop walking distance constraint. Our strategy creates a large number of possible bus stops points in a road network and uses a pseudo-random constructive heuristic algorithm to assign students...
A number of probabilistic flooding schemes have been recently considered in VANETs to address problems of information dissemination in safety applications. The design approach has so far been simulative, a method which does not guarantee that the derived protocols will work when the simulation settings are violated in practice. In this paper, motivated by the need to design information dissemination...
Clustering in vehicular ad hoc networks (VANETs) is a challenging issue due to the highly dynamic vehicle mobility and frequent communication disconnections problems. Recent years' research have proven that mobility-based clustering mechanisms considering speed, moving direction, position, destination and density, were more effective in improving cluster stability. In this paper, we propose a new...
In this work the allocation of Roadside Units (RSUs) in a V2I network is modeled as a Maximum Coverage Problem. The main objective is to maximize the number of distinct vehicles contacting the infrastructure. Two different approaches are presented to solve the problem. The first one is an ILP model that can found optimal solutions or give sharp upper and lower bounds for the problem. The second one...
Data aggregation for VANETs is considered a vital building block for many applications due to its bandwidth saving potential. In this paper, we propose a novel context aware data aggregation technique for VANETs. The data aggregation is done by the cluster head based on the context i.e. vehicle speed and density to reduces the required bandwidth for periodic data dissemination. The proposed technique...
Very popular system in VANET applications is collision prevention system that helps to prevent from chain collisions. The system obtain the vehicle information and traffic information during any emergency situation happens. It broadcast the warning messages to other vehicles for automatic break control to prevent collisions. The system sends the emergency message to vehicles in the network, before...
In Vehicular Ad Hoc Networks (VANETs),vehicles are driving along highways can be grouped into clusters to facilitate good communication. The design of the clusters such as size and geographical span, has significant impacts on communication quality. The real-time communication in Vehicular Ad Hoc Networks enables distributed applications among vehicular nodes in infrastructure-less areas. The main...
Just imagine what happens if you are pulled over by a Traffic sergeant, and you did not have your driver's license with you. Without it, you cannot drive a vehicle on public roadways so it is possible for cop to fine you. Therefore, it is important for you to carry your Driver's License everywhere. On the other side, it is hectic job for a Cop to verify if the Driver's license is original, is it valid,...
With the flourishing availability and exercise of smart handsets in our everyday lives, mobile phone will soon become an elementary way to access many of the sophisticated applications and services in a very convenient as well as inviolable manner. The new technology i.e. Near Field Communication (NFC), provides the phone with an interface which allows it to act as a smart card reader. The proposed...
This paper describes NASA's initial steps for identifying and evaluating candidate Exploration Zones (EZs) and Regions of Interests (ROIs) for the first human crews that will explore the surface of Mars. NASA's current effort to define the exploration of this planet by human crews, known as the Evolvable Mars Campaign (EMC), provides the context in which these EZs and ROIs are being considered. The...
The present workshop focuses on the topic of intention recognition in HRI. To be able to recognise intentions of other agents is a fundamental prerequisite to engage in, for instance, instrumental helping or mutual collaboration. It is a necessary aspect of natural interaction.
In this keynote, we look the fundamental limits of the information propagation speed in large scale mobile and intermittently connected networks, where end-to-end multihop paths may not exist and communication routes may only be available through time and mobility. We first introduce some analytical tools to derive generic theoretical bounds for the information propagation speed in this networks....
With rapidly growing of GPS equipped mobile devices, by using GIS and GPS data it solve a new type of service called as Location Based Service. In any location based service, traffic congestion plays a vital role to find any point of interest. In a large city traffic congestion is a very serious issue for traveler because of the continuously and random flow of vehicles on the road network. Though...
Convenience and safety of road is very important and crucial in society. Statistics of accidental deaths has shown a growing drift in India. Accidents on road network with vehicle collision can lead to injuries or even deaths and causes economy loss. Reasons for accident includes over speeding, drunken driver and defects in vehicle as well as bad road condition. Places near residential areas, pedestrian...
This paper presents an overview on optimizing interoperability between different applications for enhanced return-on-investment through utilization of business intelligence in conjunction with prognostics and health management methodology. Such implementation is particularly suitable for deployment in mass-produced vehicle onboard diagnostics system.
QR code has been applied in many ways from marketing products, locating promotional items on shelves, finding stores and etc. In this study, we report on an android based application development aimed to provide navigation services to locate parked vehicles in an indoor parking space of shopping malls. We utilise the motion sensor, bar code scanner function and camera function built in smartphones...
In this paper, we propose a Vehicle Logo Recognition (VLR) approach which uses moment invariant for feature extraction. Moment invariants and Minimum-Mean Distance (MMD) classifier are adopted to recognize six different types of vehicle logos from a public dataset. Vehicle logos obtained from coarse and fine segmentation, are recognized using Tchebichef and Legendre moment invariants. In either coarse...
Video processing techniques have been used in determining road traffic conditions and it proved itself quite useful but still cannot adapt to changes in the environment lighting. Human intervention is required to input the new background which would require effort. The project focuses on the creation of a program that uses background elimination in extracting the foreground objects. However, to solve...
This paper proposes a new design methodology of two-input and one-output fuzzy logic controller by training an Artificial Neural Network (ANN) that approximates a fuzzy control surface resulting from a basic fuzzy controller. The main purpose of this approach is to fully exploit the Artificial Neural Network (ANN) feature by translating the expertise of controlling the plant into two stages. In the...
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