A questionnaire study was conducted in order to identify relevant driver motives and assistance options for environmentally-friendly driving. Eighteen participants rated items belonging to the three factors time, environment, and consumption, and subsequently evaluated three types of driver assistance systems. Results concerning the motives showed that older drivers (above the age of 65) focuse...

In this paper, we propose a framework to develop an M2M-based (machine-to-machine) proactive driver assistance system. Unlike traditional approaches, we take the benefits of M2M in intelligent transportation system (ITS): 1) expansion of sensor coverage, 2) increase of time allowed to react, and 3) mediation of bidding for right of way, to help driver avoiding potential traffic accidents. To de...

Promoting interactions among participants in an onlinecommunity is catching attention of web sites’ managers. In this paper, we first introduce Influence Diffusion Model (IDM), a method for discovering influential comments, participants and terms from threaded online discussions, and evaluate the performance by precision and recall measurement. Then we propose a new method for profiling of part...

Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algori...

BACKGROUND Insertion duplication mutagenesis (IDM) and in-frame deletion (IFD) are common techniques for studying gene function, and have been applied to pneumolysin (ply), a virulence gene in Streptococcus pneumoniae (D39). Discrepancies in virulence between the two techniques were observed in both the previous and present studies. This phenomenon was also observed during mutation analysis of ...

Model-Driven engineering (MDE) aims to elevate models in the engineering process to a central role in the speciication, design, integration, validation, and operation of a system. MDE is becoming a widely used approach within the dependability domain: the system, together with its main dependability-related characteristics, is represented by engineering language models, while automatic transfor...

Vehicle handling and control is an essential aspect of intelligent driver assistance systems, a building block of the upcoming generation of ”smart cars”. A car’s handling is affected by (i) technological (engine, suspension, brakes, tires, wheels, steering, etc.), (ii) environmental (road condition, weather, traffic, etc.), and (iii) human (attentiveness, reactiveness, driver agility, etc.) fa...

a sensitive and selective method using combination of two chemometrics methods, principal component analysis (pca) and artificial neural network (ann), and uv-visible spectroscopy has been developed for the determination of indomethacin (idm) in plasma samples . initially the absorbance spectra were processed using pca to noise reduction and data compression. the scores of these pcs were used a...

Vehicle intelligent front light system is one of the advanced driver assistance systems. Vision based intelligent front light system is currently the research focus in this field. The purpose of this paper is to present a comprehensive survey of the vehicle front light system development and the latest vision based key technologies and proposals. By analyzing the significant disadvantages of tr...