Adaptive Image Watermarking based on K-NN Clustering

The key challenge faced by researchers is the rise in the use of social media communication to prove ownership rights  to  multimedia  material  such  as  video,  audio,  text,  graphics,  etc.  Watermarking  is  the  method  of multimedia concealment of digital content that can be used later to prove ownership credentials. The researchers in this field contribute a lot of work, but there is still a need for more robust methods. In this paper, we use the KNN clustering method to find the features in the image, which are then used to embed the content of the watermark.  Later,  the  KNN  clustering  approach  is  again  used  for  watermark  extraction  to  classify  the characteristics where the watermark is embedded and extraction is performed from those characteristics

Real-time Road Obstacle Detection Using Association and Symmetry Recognition

This paper presents a fast road obstacle detection system based on association and symmetry. This approach consists to exploit the edges extracted from consecutive images acquired by a stereo sensor embedded in a moving vehicle. The algorithm contains three main components: edges detection, association detection and symmetry calculation. The edges detection is achieved by using the canny operator and point corner to extract all possible edges of different objects at the image. The association technique is used to exploit relationship between the edges of two consecutives images by combining it with the moment operator. The symmetry is used as road obstacle validation; the road obstacles like vehicle and pedestrian have a vertical symmetry. The proposed approach has been tested on different images. The provided results demonstrate the effectiveness of the proposed method

Traffic optimization in IoT networks

Since the 2000s, the idea that the Internet could be used for machine-to-machine communication and process automation has emerged. Together with the development of electronic objects capable of communicating with IP protocols, this idea led to the concept of the Internet of Things (IoT Internet of Things). Nowadays, the evolution of networks is very intense. New networks are appearing, “all-optical” solutions in the heart of networks, “wireless” solutions to facilitate access to users or to implant sensors / actors in places difficult to access, or finally the Internet of communicating objects. In this evolution, new scientific issues and challenges are emerging. Some of the problems are related to the optimization of generated traffic as well as the improvement of the performance of tools and techniques. Often, these optimization problems lead to models using graphs. The analysis of optimization problems in networks is an important activity. IOT networks create more data traffic that is difficult to control within the operator’s network. The method given in this paper will help network operators optimize their networks and assist developers in improving hardware and software interactions to reduce data traffic in the network