نتایج جستجو برای: dynamic sleepwake up algorithm

تعداد نتایج: 1948834  

2002
Marina Guetova Steffen Hölldobler Hans-Peter Störr

We present a new classification algorithm that combines three properties: It generates decision trees, which proved a valuable and intelligible tool for classification and generalization of data; it utilizes fuzzy logic, that provides for a fine grained description of classified items adequate for human reasoning; and it is incremental, allowing rapid alternation of classification and learning ...

Cellular manufacturing system (CMS) is highly important in modern manufacturing methods. Given the ever increasing market competition in terms of time and cost of manufacturing, we need models to decrease the cost and time of manufacturing. In this study, CMS is considered in condition of dynamic demand in each period. The model is developed for facing dynamic demand that increases the cost of ...

Amir Mobarhani Farnaz Adib yaghmaie Hamidreza Taghirad

In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...

اکبری, جلال, میرزایی, سمانه,

For solving the dynamic equilibrium equation of structures, several second-order numerical methods have so far been proposed. In these algorithms, conditional stability, period elongation, amplitude error, appearance of spurious frequencies and dependency of the algorithms to the time steps are the crucial problems. Among the numerical methods, Newmark average acceleration algorithm, regardl...

A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...

2015
Fructuoso Ayala-Guerrero Indira J Arreguín-González Carlos Raúl Castillo-Montoya

Importance: The functional anatomy of the brain, especially of the subcortical structures, is one of the least understood areas in neurophysiology. A great deal of the understanding of the functional neuroanatomy is derived from the study of patients whose brain has been damaged under different circumstances. Carbon monoxide (CO) poisoning affects particularly the basal ganglia and subcortical ...

Journal: :international journal of information, security and systems management 2014
maryam falah nezhadnaeini mohammad hajivand reihaneh karimi mohammad karimi

in this paper, the static var compensator (svc) has been used to improve dynamic behaviour of power system. to do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. other contribution of this research is proposing a novel structure for particle swarm optimization (pso) algorithm through modifying the initia...

2013
Liping LU

In dynamic targets tracking measure system, a new detection algorithm on infrared small target is put forward. The algorithm is base on wavelet transformation, and by using it we can gain clear characteristics of target image and decrease mistake of tracking target. In paper, the principle of infrared small target detection was introduced, and the infrared small target detection system is desig...

In this paper, a novel quadratic assignment-based mathematical model is developed for concurrent design of robust inter and intra-cell layouts in dynamic stochastic environments of manufacturing systems. In the proposed model, in addition to considering time value of money, the product demands are presumed to be dependent normally distributed random variables with known expectation, variance, a...

2018
Po-Sen Huang Chong Wang Sitao Huang Dengyong Zhou Li Deng

In this paper, we present Neural Phrase-based Machine Translation (NPMT).1 Our method explicitly models the phrase structures in output sequences using SleepWAke Networks (SWAN), a recently proposed segmentation-based sequence modeling method. To mitigate the monotonic alignment requirement of SWAN, we introduce a new layer to perform (soft) local reordering of input sequences. Different from e...

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