We used functional magnetic resonance imaging (fMRI) and dual tasks to investigate the physiology of how movements become automatic. Normal subjects were asked to practice some self-initiated, self-paced, memorized sequential finger movements with different complexity until they could perform the tasks automatically. Automaticity was evaluated by having subjects perform a secondary task simulta...

We used functional magnetic resonance imaging (fMRI) and dual tasks to investigate the physiology of how movements become automatic. Normal subjects were asked to practice some self-initiated, self-paced, memorized sequential finger movements with different complexity until they could perform the tasks automatically. Automaticity was evaluated by having subjects perform a secondary task simulta...

We present the first English syllabification system to improve the accuracy of letter-tophoneme conversion. We propose a novel discriminative approach to automatic syllabification based on structured SVMs. In comparison with a state-of-the-art syllabification system, we reduce the syllabification word error rate for English by 33%. Our approach also performs well on other languages, comparing f...

In this paper, automatic test system of surface flatness was designed according to the characteristics of the no-till field by combining the PLC (Programmable Logic Controller), laser sensor and stepping motor automatic control technologies. Monitor and Control Generated System (MCGS) configuration software was used to form the interaction interface. Real-time data report and the trend line cou...

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...

Automatic dysfunction may contribute to the hemodynamic disturbances in cirrhosis. Tests of autonomic function were performed in 31 patients with non-alcoholic cirrhosis and 30 healthy subjects. Patients were divided into 3 groups according to child- Pugh,s classification ( A.B.C). The patients with moderate and severe cirrhosis( child B,C) had significant parasympathetic disturbance ( in the v...

In this paper, we focus on the difficulties of resource recycling problems relating to the used Iron and/or Aluminum cans. Based on the feedback control theory and combining with micro-chip processor, sensors, phonic chip, oil-compressor and mechanism technology, we design an interactive resource recycling Expert System –‘‘Recycling Squeezed Cans Device” (RSCD) and the proposed interactive RSCD...

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specific...