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In the information processing done by biological organisms, stochastic resonance (SR) can enhance sensitivity by superimposing proper noise upon undetectable weak signals to detect that signal. In tactile sensing, since noise inevitably becomes mixed by contact with an object and a sensor's movement on it, sensing accuracy can be increased by SR. In the present research, we perform a series of psychophysical...
According to the randomness and weak economy properties of the Emergency Rescue Routing Problem (ERRP), a chance-constrained programming model is constructed based on a stochastic road network. In this model, we consider there are multiple emergency rescue departments serving for a single emergency site, and the travel times between any two nodes are stochastic variables. As the stochastic ERRP is...
Irreversible investments with largest outlay made with incomplete information are the mainstay of the oilfield development. Real Options Analysis (ROA) is a useful tool for making investment decisions under market uncertainty. Normal information generates continuous mean-reverting process for oil prices, whereas random abnormal information generates discrete jumps of random size. We evaluate an oilfield...
This study considers retailer's ordering policy for two substitutable products. The demands for the two products are dependent random variables, which yield a known joint distribution. The retailer's optimal ordering policy is derived under general conditions. A numerical example and sensitivity analysis of main parameters of the model are provided.
There will be different stable states or attractors in ecosystem under the same external conditions. In this paper, one stochastic logistic model under external fluctuations was established. The existence of the alternative attractors and regime shift are investigated. Also, the mean first passage time is studied using stochastic dynamics theory. Results showed that there are different stable attractors...
With Chen M F's original researches on the stochastic models of economic optimization, this paper finds Prescott's paradigm is a suitable method to integrate LU Da-dao's regional balanced development theory with ZHANG Jin-shui's dynamic economics control model. As results of the integration process, this paper acquires a stochastic optimal control investment model for the coordinated developing of...
Currently in Brazil, long-term (horizon 20 to 30 years) and short-term (15 years horizon) energy expansion planning studies are carried out under the coordination of the Ministry of Mines and Energy. More recently the Federal Government has decided to carry out mid-term studies (15 years horizon). For long-term and short-term studies are adopted the computational models MELP and NEWAVE, respectively...
Power consumption of computing systems has become an important issue in industrial design areas. Dynamic power management (DPM) is an effective way to low the system power. This paper presents a new expert-based heuristic algorithm with fine-grained delay constraints (FDC-DPM), which selects the best policy from a set of well-known policies dynamically. Three rules are presented for FDC-DPM to make...
In order to solve the “labeling bottleneck” problem of short text categorization, a novel Semi-Supervised Expectation-Maximization short text categorization method based on Random Subspace (RS-EM) is used in this paper. RS-EM performs an iterative EM style training where multiple models are trained on subsets by using random subspace method. This combination of the stochastic discrimination theory...
A class of large-scale stochastic discrete-time continuous-opinion dynamical systems is analyzed. Agents have pairwise random interactions in which their vector-valued opinions are updated to a weighted average of their current values. The intensity of the interactions is allowed to depend on the agents' opinions themselves through an interaction kernel. This class of models includes as a special...
Based on the China economy data 1996-2005, two issues are addressed in this paper. First, we examine the ability of the DSGE model to describe stylized facts about China economy. The model succeeds to replicate the variability observed in 1996-2005. Second, we compare two methods of motivating money in DSGE Model. Drawing on our econometric analysis, we argue that the cash-in-advance model, closed...
By using the quarterly data of 1996-2005 in China, this paper evaluates the usefulness of a monetary policy rule designed for developed economies. Drawing on our econometric analysis, we argue that the model comes closer to the data of China ,it is an ideal framework for chinese monetary policy analysis. The paper also suggests to make modifications of the typical policy rule to explain Chinese economy...
The modeling methods available can not describe impacts of adjustment ability of logistics system on payoff and cost of logistics system. In view of such a fact, theorem of adjustment ability of logistics system in supply chain circumstance on condition that payoff of supply chain is a unique increasing process was proposed. A sequence of MGF (moment generating function) of out-of-goods risk process...
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