An Intelligent IOT Mechanism for Collision Detection and Prevention at Railway Level Crossing

With the rapid growth of things connected to Internet leading to the massive scale on increase of devices for automation and control. An explosive demand adds the strength to ubiquitous computation and the device interaction over cyber physical systems. This commendable support is taken in to practice for giving an automated IOT solution for the railway level crossing problems faced across the countries. Especially in populated countries like India the size of traffic on roads and railways is happening in a short time at a great rate. The situation is always alarming at the exchange of transport between these mechanisms at a common point called railway level crossing. In this paper we are providing a novel, cost effective and intelligent IOT solution using Raspberry Pi outfitted with sensors, RFID tags and load cell to predict the arrival or crossing of trains, also controlling the gates to get rid the problems arising manually by restricting the vehicles not to face the disasters. It enhance the effectiveness, trustworthy of the railways in the community of passengers

Dynamic Ambient Networks with Middleware

Ambient Intelligence is the concept that technology will become a part of everyday living and assist users in multiple tasks. It is a combination and further development of ubiquitous computation, pervasive computation, and multimedia.The technology is sensitive to the actions of humans and it can interact with the human or adjust the surroundings to suit the needs of the users dynamically. All of this is made possible by embedding sensors and computing components inconspicuously into human surroundings. This paper discusses the middleware needed for dynamic ambient intelligence networks and the ambient intelligence network architecture. The bottom-up middleware approach for ambient intelligence is important so the lower layers of all ambient intelligence networks are interchangeable and compatible with other ambient intelligence components. This approach also allows components to be programmed to be compatible with multiple ambient intelligence networks. The network architecture discussed in this paper allows for dynamic networking capabilities for minimal interruptions with changes in computer components.

Collaboration and Pervasiveness

This chapter attempts to contribute toward exploring fundamental conceptualization on collaboration and pervasiveness in education. An assigned task is to clarify my concepts on collaborative learning based on ubiquitous computation and Semantic Web perspectives by means of more originated ways. Collaborative activities and computer-supported collaborative learning (CSCL) per se consists of various needs to encourage motivation and understandings of each student in more effective learning style and environment. We can recognize that collaborative learning in a ubiquitous environment can provide more interactive, experiential, spatiotemporal, and distributed aspects for anyone who wants to know information and solve educational tasks coordinating with others at any time. Then, I would like to show my design of the ubiquitous jigsaw method and self-organizing networks in the learning community. Further, I concentrate on exploring possibilities of collaborative learning with semantic technologies which allows to inspire and facilitate a more reciprocal exchange among affiliated relationships in a ubiquitous environment. Finally, I will discuss these topics.