The Access Node Control Protocol (ANCP) aims to communicate Quality of Service (QoS)-related, service-related, and subscriber-related configurations and operations between a Network Access Server (NAS) and an Access Node (e.g., a Digital Subscriber Line Access Multiplexer (DSLAM)). The main goal of this protocol is to allow the NAS to configure, manage, and control access equipment, including t...

health care system is organized to achieve more efficiency as well as developing public equity and providing access to the first, second and third levels of services. family physician is in the first line of the health care system; in other words, family physician is the health system’s goalkeeper. according to classification of health services, gaining access to specialized services becomes po...

This document describes the Access Node Control Protocol (ANCP). ANCP operates between a Network Access Server (NAS) and an Access Node (e.g., a Digital Subscriber Line Access Multiplexer (DSLAM)) in a multi-service reference architecture in order to perform operations related to Quality of Service, service, and subscribers. Use cases for ANCP are documented in RFC 5851. As well as describing t...

This document describes the Access Node Control Protocol (ANCP). ANCP operates between a Network Access Server (NAS) and an Access Node (e.g., a Digital Subscriber Line Access Multiplexer (DSLAM)) in a multi-service reference architecture in order to perform operations related to Quality of Service, service, and subscribers. Use cases for ANCP are documented in RFC 5851. As well as describing t...

When there are bigger obstacles in the indoor environment such as elevator, the radio waves basically can not penetrate it. The contribution of received signal strength by transmission and reflection will be greatly reduced, and most of the time, the radio waves will reach the user by bypass diffraction. Therefore, the traditional path loss model is no longer applicable, and the improved model ...

Now a days, the major challenge in machine learning is the ‘Big Data’ challenge. The big data problems due to large number of data points or large number of features in each data point, or both, the training of models have become very slow. The training time has two major components: Time to access the data and time to process the data. In this paper, we have proposed one possible solution to h...