Subtask scheduling on multi-core is an important direction in the world today. There is little research of dynamic scheduling subtask according to the network traffic prediction. This paper proposes a method of dynamic scheduling of real-time multi-core subtask based on network traffic prediction. According to the prediction result of network traffics, the larger tasks scheduled dynamically int...

The problem of electrical load forecasting presents some particularities, compared to the generic problem of time-series prediction. One of these particularities is that several values (corresponding to one day of consumption) are usually expected as the result of the prediction. In this paper, we propose an original method dividing the problem into three parts: prediction of the daily mean, of...

Most previous research on Korean WordSense Disambiguation (WSD) were focusing on unsupervised corpus-based or knowledge-based approach because they suffered from lack of sense-tagged Korean corpora.Recently, along with great effort of constructing sense-tagged Korean corpus by government and researchers, finding appropriate features for supervised learning approach and improving its prediction ...

A simple method is described, to prove some theorems for simple hyper K-algebras and to study positive implicative hyper K-ideals, weak (implicative ) hyper K-ideals in simple hyper K-algebras . Beside, some results on positive implicative and (weak) implicative simple hyper K-algebras are presented. Finally classification of simple hyper Kalgebras of order 4, which are satisfied in conditions ...

traffic prediction systems can play an essential role in intelligent transportation systems (its). prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (atis) and in its traffic control systems. however, due to their complex nonlinear patterns, these systems ...

The prediction of residue solvent accessibility from protein sequences has been studied by various methods. The direct comparison of these methods is impossible due to the variety of datasets used and the difference in structure definition. In this paper we choose 5 classification approaches (decision tree (DT), Support Vector Machine (SVM), Bayesian Statistics (BS) , Neural Network (NN) and Mu...

abstract background: a major problem of the first moments of childbirth, especially in “prolonged labor,” is perinatal asphyxia which necessitates neonatal resuscitation. this study aimed at evaluating the alert line of the partogram in recognizing the need for neonatal resuscitation 20–30 s after delivery. materials and methods: 140 full‑term pregnant women were kept under surveillance through...