There is no suspicion that IoT has added a new dimension to the living being by the link between smart objects. Thus making the link among any media and anything at any place and anytime was appreciable. Under the umbrella of the Internet of Things (IoT) the number of interconnected devices is expected to grow exponentially toward more than 34 billion devices until 2021. IoT will propose the unique identification of the objects and their virtual representation as the basis for autonomously development of applications and services. These will be characterized by enormous and self-governing data capture, incident transfer, network connectivity and interoperability. This technology has a lot of applications in heterogeneous fields. The IoT technology and applications are likely to be major drivers of investment and innovation in the communications sector, over the forthcoming years, delivering the valued advantage to citizens, client and industrial end-users. These will lead to the introduction of many new and modern services. It will permit data to be transmitted between many various types of devices, enhance the safety of transportation, and decrease the consumption of energy and enhance our health. In this paper, we are briefly discussing about the Internet of Things and applications in several fields. The IoT applications are using at the edge of the network sensors accumulate data on a computing and communicating device and actuators to perform distinguished tasks controlled by these devices.

Recent years have seen the swift development and deployment of Internet-of-Things (IoT) applications in a variety of application domains. In this scenario, people worldwide are now ready to delight the benefits of the Internet of Things (IoT). The IoT is emerging as the third wave in the evolution of the Internet. The 1990s’ Internet wave connected 1.2 billion subscribers while the 2000s’ mobile wave connected another 2.4 billion. Actually, IoT is expected to consist of more than 84 billion connected devices generating 186 zettabyte of data by 2025, in the opinion of IDC. It includes major types of networks, such as distributed, ubiquitous, grid, and vehicular, these have conquered the world of information technology over a decade. IoT is growing fast across several industry verticals along with increases in the number of interconnected devices and diversify of IoT applications. In spite of the fact that, IoT technologies are not reaching maturity yet and there are many challenges to overcome. The Internet of Things combines actual and virtual anywhere and anytime, fascinate the attention of both constructor and hacker. Necessarily, leaving the devices without human interference for a long period could lead to theft and IoT incorporates many such things. In this paper, we are briefly discussing technological perspective of Internet of Things security. Because, the protection was a major concern when just two devices were coupled. In this context, security is the most significant of them. Today scenario, there are millions of connected devices and billions of sensors and their numbers are growing. All of them are expected secure and reliable connectivity. Consequently, companies and organizations adopting IoT technologies require well-designed security IoT architectures.

The IoT has primarily focused on establishing connectivity in a diversify of constrained networking environments, and the next logical aim is to build on top of network connectivity by focusing on the application layer. In the Web of Things (WoT), we are thinking about smart things as first class citizens of the Web. We position the Web of Things as a purification of the Internet of Things by integrating smart things not only into the Internet, for instance the network, but into the Web (the application layer). The Web of Things is a computing concept that describes a future where day-to-day objects are fully integrated with the Web. The WoT is very homogeneous to the IoT in some ways and in others it is drastically different. The stipulation for WoT is for the "things" to have embedded computer systems that enable communication with the Web. This type of smart devices would then be able to communicate with each other using current Web standards. For instance, renowned Web languages PHP, HTML, Python, and JavaScript can be used to easily build applications involving smart things and users can leverage well-known Web mechanisms such as caching, browsing, searching, and bookmarking to communicate and share these devices. In this paper, aim to demonstrate a close-up view about Web of Things, including Web of things architecture, Open platform in Web of Thing, Web-enabling devices, Web of Thing security, use cases of Web of Things. The WoT concept, smart things and their services are fully integrated in the Web by reusing and conforming technologies and patterns commonly used for conventional Web content.

Abstract:The breakthrough in wireless networking has prompted a new concept of computing, called mobile computing in which users tote portable devices have access to a shared infrastructure, independent of their physical location. Mobile computing is becoming increasingly vital due to the increase in the number of portable computers and the aspiration to have continuous network connectivity to the Internet irrespective of the physical location of the node. Mobile computing systems are computing systems that may be readily moved physically and whose computing ability may be used while they are being moved. Mobile computing has rapidly become a vital new example in today's real world of networked computing systems. It includes software, hardware and mobile communication. Ranging from wireless laptops to cellular phones and WiFi/Bluetooth-enabled PDA's to wireless sensor networks; mobile computing has become ubiquitous in its influence on our quotidian lives. In this paper various types of mobile devices are talking and they are inquiring into in details and existing operation systems that are most famed for mentioned devices are talking. Another aim of this paper is to point out some of the characteristics, applications, limitations, and issues of mobile computing.

In the today scenario technological intelligence is a higher demand after commodity even in traffic-based systems. These intelligent systems do not only help in traffic monitoring but also in commuter safety, law enforcement and commercial applications. The proposed Saudi Arabia Vehicle License plate recognition system splits into three major parts, firstly extraction of a license plate region secondly segmentation of the plate characters and lastly recognition of each character. This act is quite challenging due to the multiformity of plate formats and the nonuniform outdoor illumination conditions during image collection. In this paper recognition of the license plates is achieved by the implementation of the Learning Vector Quantization artificial neural network. Their results are based upon their completeness in the Saudi Arabia Vehicle License plate character recognition and theirs have obtained encouraging results from proposed technique.