This paper addresses cooperative operation of symbiotic human-robot system. In order to implement cooperative operation, symbiotic human-robot system is modeled using frame-based knowledge representation. According to this knowledge model, the system is defined in the Software Platform of Agents and Knowledge Management (SPAK). With the support of SPAK, cooperative operation can be therefore ca...

In this paper, we present the results from over-the-air experiments of a complete implementation of an amplify and forward cooperative communications system. Our custom OFDM-based physical layer uses a distributed version of the Alamouti block code, where the relay sends one branch of Alamouti encoded symbols. First we show analytically and experimentally that amplify and forward protocols are ...

cooperation in pastoralism and indigenous knowledge of dairy management had been considered for many years in iran and had been adapted with culture and environment of every region. this research had illustrated the analysis of indigenous knowledge and social cohesion in dairy management of grazing livestock in ghasr e yaghub village. research method was a combination of filed studies, direct o...

Several position identification methods have been used for mobile robots. Dead reckoning is a popular method, but is not reliable for long distances or uneven surfaces because of variations in wheel diameter and slippage. The landmark method, which estimates current position relative to landmarks, cannot be used in an uncharted environment. We have proposed a new method called ”Cooperative Posi...

The use of transactions to provide reliable and secure information processing and data management has increasingly gained the attention of the CSCW community. Traditional transaction models have, however, been claimed to be too restrictive in the context of cooperation. Research on transaction support for cooperative work has therefore particularly aimed at finding mechanisms and frameworks to ...

| This paper presents a new cooperative ensemble learning system (CELS) for designing neural network ensembles. The idea behind CELS is to encourage diierent individual networks in an ensemble to learn diierent parts or aspects of the training data so that the ensemble can learn the whole training data better. Rather than producing unbiased individual networks whose errors are uncorrelated, CEL...