Abstract

Road accidents are certainly the maximum common and, generally, the origin in the loss of the lives and property. The causes behind this are the particularly dense traffic on road and conscious and unconscious mistakes done by the drivers. This paper provides a review to detect and recognize contents placed on traffic sign boards. The information can be useful to support the driver to ensure smooth traffic flow and increase driving safety and comfort. So, It has a recurring application domain that includes the Driver Assistance System, autonomous automobiles, path measuring and Optical Character Recognition which help drivers to obey the traffic rules and guide them in different traffic situation and surrounding environments like at night ,in rainy season, in various backgrounds and lighting conditions and about partially visible sign panels through retelling them that which signs are ahead to ensure a safe journey. Therefore the proposed model is based on such kind of requirements and mainly focuses on the frequent occurring problems during driving by providing on time information regarding traffic system. The research work presents the overview aboutseveral techniques which are used for detection and identification of symbols and text from natural complex images or videos, which are taken from traffic sign boards. Moreover, it is describing the performance and objectives of these techniques.
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Abstract

Efficient exploration of a dynamic and unpredictable environment using multiple mobile robots is a complex task. Significant progress has been made in exploration by single robots but mapping with multiple robots remains a young field of study and presents several new challenges and difficulties. Motivated by the advantages of mapping with multi robot systems, this paper addresses the problem of multiple robot SLAM by focusing on the techniques for coordination of robots, multi robot architectures and interrobot communication for mapping and exploring large, indoor environments. The paper describes role-based exploration as an efficient exploration strategy and elucidates the factors that affect the exploration process using a simulation.
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Abstract

The main objective of this work is to demonstrate that it is extremely difficult to design an algorithm that can detect whether a program is a virus or not. The computational question of decidability and indecibility is developed. Non-computable algorithms. The application of Rice’s theorem and the Recursion theorem. Important definitions are given, related to recognizable algorithms, and on their computability. A demonstration is made of the existence of self-replication of viruses through the recursion theorem. A demonstration is made of how undecidable the detection by an algorithm is, whether a program is a virus. This demystifies the idea that algorithms can be designed for this purpose.
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