Task offloading and real-time scheduling are hot topics in fog computing. This paper aims to address the challenges of complex modeling solving multi-objective task computing environments caused by widely distributed resources strong load uncertainties. Firstly, a unloading model based on dynamic priority adjustment is proposed. Secondly, optimization constructed for model, which optimizes time...

Fixed order neural networks (FONN), such as high order neural network (HONN), in which its architecture is developed from zero order of activation function and joint weight, regulates only the number of weight and their value. As a result, this network only produces a fixed order model or control level. These obstacles, which affect preceeding architectures, have been performing finite ability ...

In this paper, condition monitoring of a geared rotor system using finite element (FE) model updating and particle swarm optimization (PSO) method is onsidered. For this purpose, employing experimental data from the geared rotor system, an updated FE model is obtained. The geared rotor system under study consists of two shafts, four bearings, and two gears. To get the experimental data,  iezoel...

In this paper we introduce a new algorithm for updating the parameters of a heuristic evaluation function, by updating the heuristic towards the values computed by an alpha-beta search. Our algorithm differs from previous approaches to learning from search, such as Samuel’s checkers player and the TD-Leaf algorithm, in two key ways. First, we update all nodes in the search tree, rather than a s...

I derive a unique subjective probabilistic belief p and Bayesian updating for this belief from ambiguity averse preferences. To do so, I assume an exogenous information set ∆ of possible probabilistic scenarios on the state space S. Every uncertain prospect f is evaluated via a mixture of the unique subjective belief p with the least favorable scenario for f in the set ∆. The weight of p in thi...

In this paper, we propose and evaluate various distanceaware weighting strategies to improve reconstruction accuracy of a voxelbased model according to the Truncated Signed Distance Function (TSDF), from the data obtained by low-cost depth sensors. We look at two strategy directions: (a) weight definition strategies prioritizing importance of the sensed data depending on the data accuracy, and ...

An important question when eliciting opinions from experts is how to aggregate the reported opinions. In this paper, we propose a pooling method to aggregate expert opinions. Intuitively, it works as if the experts were continuously updating their opinions in order to accommodate the expertise of others. Each updated opinion takes the form of a linear opinion pool, where the weight that an expe...