in dea to obtain an efficient representation in ccr andbcc models for each dmu only one linear plan would be solved; however,it is possible in centralized resource allocation (cra) to solve allthe dmus by one linear planning. in this paper, models of centralizedresource allocation in input-oriented and in dynamic case will be offeredand by using dynamic sbm, the representation of dmus in each t...

We introduce a new class of distributed algorithms for the approximate consensus problem in dynamic rooted networks, which we call amortized averaging algorithms. They are deduced from ordinary averaging algorithms by adding a value-gathering phase before each value update. This allows their decision time to drop from being exponential in the number n of processes to being linear under the assu...

This paper describes a class of decentralized dynamic processes designed to converge to equilibrium when the equilibrium equations are linear. These processes can also be viewed as distributed algorithms for solving systems of linear equations, or as learning algorithms. The class includes processes that use a message space larger by one binary digit than the space in which the equilibrium exis...

in the current study the effect of casimir force and squeezed film damping on the pull-in instability and dynamic behavior of electrostatically actuated nano and micro electromechanical systems is investigated separately. linear elastic membrane theory is used to model the static and dynamic behavior of system for strip, annular and disk geometries. squeezed film damping effect is modeled using...

in this paper, distributed parameter process systems behavior is studied in frequency domain. based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. by using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...

This article aims at the integration of communities of practice into work processes. Linear structures are often inappropriate for the execution of knowledge intensive tasks and work processes. The latter are characterized by non-linear sequences and dynamic, social interaction. But for the work in communities of practice the leading path, that is needed for structuring the work, is often missi...

a neuro-fuzzy modeling tool (anfis) has been used to dynamically model cross flow ultrafiltration of milk. it aims to predict permeate flux and total hydraulic resistance as a function of transmembrane pressure, ph, temperature, fat, molecular weight cut off, and processing time. dynamic modeling of ultrafiltration performance of colloidal systems (such as milk) is very important for designing ...