In this paper, we present an implementation of CLNP ground-to-ground packet processing for ATN in Linux kernel version 2.6. We present the big picture of CLNP packet processing, the details of input, routing, and output processing functions, and the implementation of each function based on ISO 84731. The functions implemented in this work are PDU header decomposition, header format analysis, he...

In this paper, a novel header extraction scheme based on semiconductor ring laser is proposed and simulated for the proof of principle. This to be used in all-optical packet switching networks which can extract return-to-zero (RZ) modulation data packets with variable header/payload length intensive spacing. Simulations numerical analysis 3-byte 128-byte payload show that structure headers more...

In this paper, our study focused on the framework of big data-driven and mobile optimization. We will significant points 5G previous networks, mostly we have a look at past technologies. After that, focus future Mobile Technology. make an essential reference to architecture Network. see two OSI levels (network level Internet Protocol (IP)). The purpose IP is ensure adequate control data (in hea...

By default, message header field parameters in Hypertext Transfer Protocol (HTTP) messages cannot carry characters outside the ISO8859-1 character set. RFC 2231 defines an encoding mechanism for use in Multipurpose Internet Mail Extensions (MIME) headers. This document specifies an encoding suitable for use in HTTP header fields that is compatible with a profile of the encoding defined in RFC 2...

This paper presents an integrated and adaptive problem-solving approach to control the on-road air quality by modeling the road infrastructure, managing traffic based on pollution level and generating recommendations for road users. The aim is to reduce vehicle emissions in the most polluted road segments and optimizing the pollution levels. For this we propose the use of historical and real ti...

This paper presents a method for road extraction from lidar data based on SVM classification. The lidar data are used exclusively to evaluate the potential in the road extraction process. First, the SVM algorithm is used to classify the lidar data into five classes: road, tree, building, grassland, and cement. Then, some misclassified pixels in the road class is removed using the road values in...