The value in machines having wireless communications has long been understood and a large market predicted for many years. That this has not transpired has been because of the difficulty of meeting all the requirements for machine communications within the constraints of the available radio spectrum. These constraints changed significantly with the advent of white space which provides near-perf...

Geometrical statistical methods are used to study needles floating in a weightless environment. This is a three dimensional analog of the classical Buffon Needle problem in two dimensions.

Reduction in vehicle weight can significantly reduce energy use human transportation. However, to gauge efficiency, and for a particular should be related the number of people being transported while currently there is no convenient means assess this. Here we statistically analyse weight, consumption, carrying capacity occupancy level automobiles, buses, high-speed trains aircraft. Based on ana...

This paper evaluates the WiSARD weightless model as a classification system on the problem of tracking multiple objects in realtime. Exploring the structure of this model, the proposed solution applies a re-learning stage in order to avoid interferences caused by background noise or variations in the target shape. Once the tracker finds a target at the first time, it applies only local searches...

In this article Danny T Quah examines how, when an economy grows, its patterns of production and consumption systematically change. He describes one such large-scale evolution, namely, the increasing weightlessness of aggregate output across advanced economies. In all fast-growing successful countries, growth in information technology has contributed positively both to increasing weightlessness...

of Dissertation presented to COPPE/UFRJ as a partial fulfillment of the requirements for the degree of Master of Science (M.Sc.) PREDICTION OF EPILEPTIC SEIZURES USING WEIGHTLESS NEURAL NETWORK WISARD

of Dissertation presented to COPPE/UFRJ as a partial fulfillment of the requirements for the degree of Master of Science (M.Sc.) PREDICTION OF SOILS MOISTURE BY WEIGHTLESS NEURAL NETWORK Paulo Felipe Salviano Brandt

This paper describes how early designs of dynamic weightless neural systems were developed to enable some of the states of a state structure to have a phenomenal character. Such states reflect the features of a sensory reality and allow the storage of aspects of sensory experience and access to it. The ‘machine consciousness’ paradigm is summarised in this paper. The paper concludes with a desc...