In this paper, a multi-agent simulation model is developed for inter-organizational learning to evaluate the impact of absorptive capacity on learning performance. One of the most important problems on project networks is to understand which innovation has the most benefit on learning and how much it could effect on learning in interorganizational project networks. On the other hand, the abilit...

Accurate PM2.5 concentration forecasting is crucial for protecting public health and atmospheric environment. However, the intermittent and unstable nature of PM2.5 concentration series makes its forecasting become a very difficult task. In order to improve the forecast accuracy of PM2.5 concentration, this paper proposes a hybrid model based on wavelet transform (WT), variational mode decompos...

Supply Chains have been more and suffering from unexpected industrial, natural events, or epidemics that might disrupt the normal flow of materials, information, money. The recent pandemic triggered by outbreak new COVID-19 has pointed out increasing vulnerability supply chain networks, prompting companies (and governments) to implement specific policies actions control reduce spread disease ac...

We extend linear programming performance evaluation methods to closed reentrant queueing networks. The approach automatically generates the parameters for a surrogate of the differential cost function and enables us to obtain bounds on the system throughput at reduced computational cost than exact solution methodologies. A comparison study of the bounds with the actual performance for tractable...

The dynamics of complex isothermal reactors arc studied in general terms with special focus on connections between reaction network structure and the capacity of the corresponding differential equations to admit unstable behavior. As in some earlier work, the principal results rely on a classification of reaction networks by means of an easily computed non-negative integer index called the defi...

We demonstrate that diffusively coupled limit-cycle oscillators on random networks can exhibit various complex dynamical patterns. Reducing the system to a network analog of the complex Ginzburg-Landau equation, we argue that uniform oscillations can be linearly unstable with respect to spontaneous phase modulations due to diffusional coupling-the effect corresponding to the Benjamin-Feir insta...

IEEE 802.15.4a networks can provide the geographic routing solution with high location accuracy for the indoor environments. However, in the non-line-of-sight (NLOS) environments, the IEEE 802.15.4a networks may have a large scale location error and an unstable communication link. In this article, we propose a location estimation and dynamic link detection scheme for the geographic routing in t...

Now a number of advanced control systems take advantage of networks such as Ethernet ,Fieldbus and Internet as their communication channel. Transmission time delay of these networks may lead unstable problems to system. In this paper, the predication of network delay using neural network is presented first. Then the analysis of the control oriented Quality of Service (CO-QoS) specially with the...

In networked control systems, the varying transmission time delay of the transmitting signal is unavoidable. If the varying transmission time delay exceeds the fixed sampling time, the system will be unstable. To solve this problem, in this paper, the logicbased fuzzy neural networks are applied to the prediction of transmission time delay. The predicted time delay is used as a sampling period ...