Surrogate entrepreneurship is conceptually compared to spin-off entrepreneurship and then three incidents of surrogate entrepreneurship using publicsource technology are examined relative to the conceptual framework.

Radio frequency identification (RFID) is an enabling technology for a variety of applications in nextgeneration network (NGN). Although several RFID management frameworks are proposed in the literature, they have limitations in terms of service extension. In this paper, we propose an extensible RFID management framework called SIP-based RFID management system (SRMS), which can support various R...

Recent advances in coupling novel optimization methods to large-scale computing problems have opened the door to tackling a diverse set of physically realistic engineering design problems. A large computational overhead is associated with computing the cost function for most practical problems involving complex physical phenomena. Such problems are also plagued with uncertainties in a diverse s...

The desire to avoid the consequences of extreme social and economic situations under capitalism globalization, including financial relations, encourages state authorities use various measures protection from threats. This has been reflected in creation many relevant doctrinal conceptual documents. public demand stimulated development risk management theory security studies. real science practic...

A machine-learning-based framework for estimating the error introduced by surrogate models of parameterized dynamical systems is proposed. The framework entails the use of high-dimensional regression techniques (e.g., random forests, LASSO) to map a large set of inexpensively computed ‘error indicators’ (i.e., features) produced by the surrogate model at a given time instance to a prediction of...

Surrogate-assisted evolutionary algorithms (SAEAs) have become very popular for tackling computationally expensive multiobjective optimization problems (EMOPs), as the surrogate models in SAEAs can approximate EMOPs well, thereby reducing time cost of process. However, with increased number decision variables EMOPs, prediction accuracy will deteriorate, which inevitably worsens performance SAEA...