Recent Advances in Machine-to-Machine Communications

Recent Advances in Predictive (Machine) Learning

Prediction involves estimating the unknown value of an attribute of a system under study given the values of other measured attributes. In prediction (machine) learning the prediction rule is derived from data consisting of previously solved cases. Most methods for predictive learning were originated many years ago at the dawn of the computer age. Recently two new techniques have emerged that h...

Recent Advances in Example-Based Machine Translation

Recent Advances in Example - Based Machine Translation

This book, an outcome of a 2001 workshop on Example-Based Machine Translation (EBMT) in Santiago de Compostela, very appropriately starts with a preface by professor Makoto Nagao in which he explains how the limits of rule-based Machine Translation (MT) led him to propose his translation by analogy principle in 1981 (published as Nagao, 1984). His idea, inspired by second language learning meth...

Recent Trends in Standards Related to the Internet of Things and Machine-to-Machine Communications

One of major purposes of these standard technologies is to ensure interoperability between entities from different vendors and enable interworking between various technologies. As interoperability and interworking are essential for machine-to-machine communications (M2M) and Internet of Things (IoT) for them to achieve their ultimate goal, i.e., things to be connected each other, multiple stand...

Machine-to-machine communications: Technologies and challenges

Machine-to-machine (M2M) communications emerge to autonomously operate to link interactions between Internet cyber world and physical systems. We present the technological scenario of M2M communications consisting of wireless infrastructure to cloud, and machine swarm of tremendous devices. Related technologies toward practical realization are explored to complete fundamental understanding and ...