نتایج جستجو برای: dynamic sleepwake up algorithm
تعداد نتایج: 1948834 فیلتر نتایج به سال:
in this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. this technique uses synchronized phasors measured by phasor measurement units (pmus) in a wide-area measurement system. in order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...
cell formation problem mainly address how machines should be grouped and parts be processed in cells. in dynamic environments, product mix and demand change in each period of the planning horizon. incorporating such assumption in the model increases flexibility of the system to meet customer’s requirements. in this model, to ensure the reliability of the system in presence of unreliable machine...
In this paper, Multi-objective Flexible dynamic Job shop scheduling with maintenance constraints is investigated. In the recent researches the single objective models were assessed. Whereas in competitive conditions, decision makers encountered with simultaneous multi-objective problems that could be conflict with each other. In this research, the objectives are makespan, mean flow time and m...
The present study aimed to examine the effects of FIFA 11+ comprehensive warm-up program for referees on dynamic balance among male Iranian football referees and assistant referees. Fifty-two football referees and assistant referees who had no previous injury voluntarily participated in the present study. They were randomly assigned into an intervention group and a control one (26 participants ...
The current pairwise RNA (secondary) structural alignment algorithms are based on Sankoff’s dynamic programming algorithm from 1985. Sankoff’s algorithm requires O(N) time and O(N) space, where N denotes the length of the compared sequences, and thus its applicability is very limited. The current literature offers many heuristics for speeding up Sankoff’s alignment process, some making restrict...
In the Automated Guided Vehicle (AGV) warehouse automatic guided vehicle system, path planning algorithm for intelligent logistics vehicles is a key factor to ensure stable and efficient operation of system. However, existing algorithms have problems such as single designing route inability intelligently evade moving barriers. The academic community has proposed various solutions these problems...
a new dynamic friction model for modeling of elliptical vibration assisted turning (evat) was developed in this research. the periodic change of the friction force direction is known to be one of the most important causes of this phenomenon. in modeling of machining processes (including the evat process), static coulomb friction model was employed by most of the researchers. because of the peri...
Generalized Multiobjective Multitree model (GMMmodel) considering by the first time multitree-multicast load balancing with splitting in a multiobjective context. To solve the GMM-model, a multiobjective evolutionary algorithm (MOEA) inspired by the Strength Pareto Evolutionary Algorithm (SPEA) was proposed. In this paper, we extends the GMM-model to dynamic multicast groups (i.e., in which egr...
This paper presents a novel approach to reduce dynamic power in field-programmable gate arrays (FPGAs) by reducing glitches during routing. It finds alternative routes for early-arriving signals so that signal arrival times at look-up tables are aligned. We developed an efficient algorithm to find routes with target delays and then built a glitch-aware router aiming at reducing dynamic power. T...
abstract: one the most important problems in recent sensitive loads is the quality of voltage. for this challenge custom power devices are used in distribution systems. dynamic voltage restorer (dvr) is a custom power device that improves voltage, decrease power distortion, filter harmonics and balance distributed generations (dgs) with low voltage distribution system. in this paper, a new algo...
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