Cognitive knowledge learning (CKL) is a fundamental methodology for cognitive robots and machine learning. Traditional technologies for machine learning deal with object identification, cluster classification, pattern recognition, functional regression and behavior acquisition. A new category of...

The aim of the study was to investigate as to whether piezoelectric energy harvesting could be a viable contributor to a source of renewable energy for the future. Here, a keyboard usage study was conducted using a data gathering computer program called WhatPulse in which participants and their...

This article presents the relationship between a firm's advertisement spending and sales in a duopoly when information about the competitors' advertisement spending is unavailable. The competitive interaction between the firms has been modeled as imperfect information Cournot and Stackelberg...

Due to the widespread use of cloud services, the need for proper and dynamic distribution will redouble the resources. One of the most complex problems in cloud environments is resource allocation such that on one hand the resource provider should obtain maximum utilization and on the other hand...

The cyber threat to industrial control systems is an acknowledged security issue, but a qualified dataset to quantify the risk remains largely unavailable. Senior executives of facilities that operate these systems face competing requirements for investment budgets, but without an understanding...

Opportunistic Spectrum Access (OSA) in a Cognitive Radio Network (CRN) is regarded as emerging technology for utilizing the scarce Radio Frequency (RF) spectrum by allowing unlicensed secondary users (SUs) to access licensed spectrum without creating harmful interference to primary users (PUs)....

“Partitionable parallel machine” is an efficient computing system for executing parallel applications. In this paper, the problem of processors sharing among multiple users is addressed where users' requests are executed in a 2D mesh-connected multicomputer simultaneously. The problem is...

Digital goods, such as software, are significant elements of the contemporary digital economy. The authors propose a model that characterizes dynamic profit-maximizing competitive pricing strategies of digital goods with network effects. In a two-period game theory model, an incumbent firm has a...