We report on the status of a set of ITPA-sponsored experiments among the Alcator C-Mod, MAST and NSTX devices to compare the characteristics and access conditions of small edge-localized modes (ELMs). Small ELM discharges were developed in each of the machines, and common features were identified, both in terms of ELM structure and operational windows. A common observation is an apparent βped t...

An edge-localized mode (ELM) H-mode regime, supported by electron cyclotron heating, has been successfully established in a "snowflake" (second-order null) divertor configuration for the first time in the TCV tokamak. This regime exhibits 2 to 3 times lower ELM frequency and 20%-30% increased normalized ELM energy (ΔWELM/Wp) compared to an identically shaped, conventional single-null diverted H...

V. Filinov; 1, P. Thomas2, M. Bonitz3, V. Fortov1, I. Varga4, and T. Meier2 1 Institute for High Energy Density, Russian Academy of Sciences, Izhorskay 13/19, Moscow 125412, Russia 2 Fachbereich Physik, Philipps-Universit t Marburg, 35032 Marburg, Germany 3 Fachbereich Physik, Universit t Rostock, Universit tsplatz 3, 18051 Rostock, Germany 4 Elm leti Fizika Tansz k, Budapesti Műszaki s Gazdas ...

bacterial wet-wood or bacterial slime is a common disease that affects the central core of many shade and forest trees like ash, fir, maple, oak, sycamore and elm (scortichini et al., 1991). symptoms of this disorder include a yellow-brown discoloration of the wood, generally confined to the central core of the tree. this affected wood is wetter than surrounding wood and is under high internal ...

Fine metallic screens are important sub-systems in propellant tank systems of spacecrafts due to their application as filter devices. The flow resistance has to be known for a proper design of tank and feed line systems. In this paper the flow resistance of application-relevant metallic screens is investigated experimentally. The weave types “dutch twilled weave” (DTW) and “broad mesh” (BM) wer...

Extreme learning machine (ELM) has emerged as an efficient and effective learning algorithm for classification and regression tasks. Most of the existing research on the ELMs mainly focus on supervised learning. Recently, researchers have extended ELMs for semi-supervised learning, in which they exploit both the labeled and unlabeled data in order to enhance the learning performances. They have...

Computational intelligence techniques especially neural networks have been attracting a large number of researchers' attentions in the past three decades. It has been well known that conventional learning methods on neural networks have apparent drawbacks and limitations including: (1) slow learning speed, (2) trivial human tuned parameters, and (3) complicated learning algorithms. Extreme Lear...

Extreme Learning Machine (ELM) represents a popular paradigm for training feedforward neural networks due to its fast learning time. This paper applies the technique for the automatic classification of speech utterances. Power Normalized Cepstral Coefficients (PNCC) are employed as feature vectors and ELM performs the final classification. Both the baseline ELM algorithm and ELM with kernel hav...

This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive. The use of fuzzy ELM algorithm based ANN Controllers in the FOC system reduces the computation time. The controller is used to compute the appropriate set of switching voltage vectors for matrix converter to achieve the maximum efficiency...

This paper presents an Extreme Learning Machine (ELM) approach for a fast and accurate estimation of the power system loading margin for multiple contingencies with reduced input attributes. Active and reactive power flows of all load buses are chosen as the input features to the ELM. The training data for the ELM model are generated by using the Continuation Power Flow (CPF) method. The propos...