In dynamic decision-making environments, observers must continuously adjust their decision-making strategies. Previous research has focused on internal fluctuations in decision mechanisms, without regard to how these changes are induced by environmental changes. We developed a simple paradigm in which we manipulated task difficulty, thereby inducing changes in decision processes. We applied thi...

In the present study, the production of low-salt water from salty water by nanofiltration as well as membrane fouling was investigated. Furthermore, a new method was proposed and tested experimentally for creating the backpulse in order to minimization of fouling and increase of the filtration efficiency. In the proposed method, the permeate was used instead of gas for creating the...

We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical information concerning the past behaviour of the target and arguments concerning the target’s expected behaviour. These arguments are built from current and past contracts between evaluator and target. We prove that our method...

An automatic term extraction system consists of a term candidate extraction subsystem, a ranking subsystem and a selection subsystem. In this paper, we experimentally evaluate two ranking methods and two selection methods. As for ranking, a dichotomy of unithood and termhood is a key notion. We evaluate these two notions experimentally by comparing Imp based ranking method that is based directl...

We present a Hidden Markov Model method for the prediction of lipoprotein signal peptides of Gram-positive bacteria, trained on a set of 67 experimentally verified lipoproteins. The method outperforms LipoP and the methods based on regular expression patterns, in various data sets containing experimentally characterized lipoproteins, secretory proteins, proteins with an N-terminal TM segment an...

We propose a new method for analyzing multivariate time-series data governed by competitive dynamics such as fluctuations in the number of visitors to Web sites that form a market. To achieve this aim, we construct a probabilistic dynamical model using a replicator equation and derive its learning algorithm. This method is implemented for both categorizing the sites into groups of competitors a...

important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

The convective heat transfer and pressure drop of water based Al2O3 nanofluid in a horizontal tube subject to constant wall temperature condition is investigated by computational fluid dynamic (CFD) method. The Al2O3 nanofluid at five volume concentration of 0.1, 0.5, 1.0, 1.5 and 2 % are applied as a non Newtonian power law and Newtonian fluid with experimentally measured properties of density...

Molecular lipophilicity was studied using salicylamide as a model drug. Log P value for the target compound was experimentally determined by the shake-flask method and calculated using nine different computer programs based on atom/fragment contributions, structural parameters, atom-type electrotopological-state indices and neural network modeling, or topological structure descriptors. Our anal...

We illustrate an original real-time replanning scheme experimentally for humanoid robot reactive walking. Footsteps are planned as a sequence of “half-steps” that can be easily integrated with randomized planning methods such as RRT. Combined with an approximation of the volume swept by the robot legs during dynamic walking, our method is able to cope with the collision avoidance for 3D obstacl...