In the busy situation, they want this information on the little use of keyboard, time. In the 21st century, in the era of e-world, people are continuously getting updated by daily information such as weather conditions, news, stock exchange market updates, new projects, cricket updates, sports and other such applications. Keywords: Intrusion Detection System (IDS), Also, it presents advantages in terms of increasing scalability and flexibility. Our architecture benefits from mobile agent features and addresses some of the issues with centralized and hierarchical models. For this purpose we suggest a new generation of distributed intrusion detection system based on preventive detection approach and using intelligent and mobile agents. Despite the importance and reputation of the current intrusion detection systems, their efficiency and effectiveness remain limited as they should include active defense approach to allow anticipating and predicting intrusions before their occurrence. The design and implementation of intrusion detection systems (IDS) remain an important area of research in the security of information systems. Scale-Invariant Feature Transformation (SIFT), Experimental results on the real SAR image dataset demonstrate the effectiveness of the proposed method. At last, the change-detection map is generated by comparing the two segmentations. Then, different from the traditional change detection which directly obtains the change-detection map from the difference image, segmentation is made around the extracted keypoints in the two original multitemporal SAR images to obtain accurate changed region. Firstly, the noise-robust SIFT keypoints which reveal the blob-like structures in an image are extracted in the log-ratio image to reduce the detection range. In this paper, an unsupervised distribution-free change detection for SAR image based on scale-invariant feature transform (SIFT) keypoints and segmentation is proposed. Synthetic aperture radar (SAR) image change detection has recently become a challenging problem owing to the existence of speckle noises. The Algorithm deduces the key frame from the video sequences and follows the Blob detection, Identification and Tracking using connected components algorithm to determine the correlation between the vehicles moving in the real road scene.Ĭorrelation between vehicles Procedia PDF By inputting the real world traffic situation in the form of video sequences, the algorithm determines the Traffic density in terms of congestion, number of vehicles in a given path which can be fed for various ATIS applications. ![]() This Article designs and provides an algorithm for traffic data generation which can be used for the above said ATIS application. This involves travel time forecasting, efficient road map analysis and cost based path selection, Detection of the vehicle in the dynamic conditions and Traffic congestion state forecasting. Advanced Traveler Information System (ATIS) is a core and important ITS area of this modern era. Several forms of inputs are needed in order to solve ITS problems. The paper ends with a presentation of some challenging and very recent works based on Vortex methods and successfully applied to problems such as hydrodynamics, turbulent wake dynamics, sediment or porous flows.Intelligent Transportation System is an Emerging area to solve multiple transportation problems. ![]() The present review aims to describe the Vortex methods by following their chronological evolution and provides for each step of their development the mathematical framework, the strengths and limits as well as references to applications and numerical simulations. On the other hand, many efforts have been devoted to overcoming their main intrinsic difficulties, mostly relying on the treatment of the boundary conditions and the distortion of particle distribution. In the last three decades, the wide range of research works performed on these methods allowed us to highlight their robustness and accuracy while providing efficient computational algorithms and a solid mathematical framework. Vortex methods belong to Lagrangian approaches and allow us to solve the incompressible Navier-Stokes equations in their velocity-vorticity formulation. Particle methods distinguish themselves by their intuitive and natural description of the fluid flow as well as their low numerical dissipation and their stability. This review paper presents an overview of Vortex Methods for flow simulation and their different sub-approaches, from their creation to the present.
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