Development of spoken dialog systems (SDSs) can be facilitated by better evaluation methods. Previous methods seldom consider the efficiency of the system, which is important to users. We study the problem of evaluati...
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Development of spoken dialog systems (SDSs) can be facilitated by better evaluation methods. Previous methods seldom consider the efficiency of the system, which is important to users. We study the problem of evaluating SDSs and propose a new framework by generalizing states from utterances of dialogs to build finite state machine (FSM). These states can be regarded as efficiency measurement of SDSs. The FSM framework models dialogs as paths in an FSM to combine efficiency measurement with regression models. The proposed FSM framework can be applied in conjunction with regression models to improve evaluation accuracy. We compare our FSM framework combined with three regression models in several experiments. We obtain promising results on a collection of dialogs from the “Let's Go!” system, with our approach outperforming regression models.
Teaching software engineering has been recognized as an important challenge for computerscience undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform...
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Teaching software engineering has been recognized as an important challenge for computerscience undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform practical experiences that allow students to assimilate and apply such knowledge. This paper presents some results of two computer-Supported Collaborative Learning (CSCL) experiences that involved students of software engineering courses from four Latin American Universities. The obtained results were satisfactory and indicate the reported collaborative activity could be appropriate to address teaching software engineering.
Functional near-infrared spectroscopy (fNIRS) was used to study changes in cerebral blood oxygenation during a verbal fluency task. Five right-handed male volunteers matched on demographic variables and verbal fluency...
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Functional near-infrared spectroscopy (fNIRS) was used to study changes in cerebral blood oxygenation during a verbal fluency task. Five right-handed male volunteers matched on demographic variables and verbal fluency performance participated in the study. Images were acquired over 5 minutes at 1.5 T while the subjects performed two tasks. The first involved paced silent generation of words beginning with an aurally presented cue letter. This task alternated with paced silent repetition of the aurally presented word "rest." Significant responses were observed in the left prefrontal cortex, the insula bilaterally, the midline supplementary motor area, and the medial parietal cortex.
This paper deals with a passive-decomposition based control of bilateral teleoperation between a single master robot and multiple cooperative slave robots under time varying delay in the communication line. At first, ...
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This paper deals with a passive-decomposition based control of bilateral teleoperation between a single master robot and multiple cooperative slave robots under time varying delay in the communication line. At first, we decompose the dynamics of multiple slave robots into two decoupled dynamics: the Shape-system describing dynamics of the cooperative works, and the Locked-system representing overall behavior of the multiple slave robots. Second, we propose a PD control method for bilateral teleoperation to guarantee the asymptotical stability of the system for time varying delay. Finally, experimental results show the effectiveness of our proposed teleoperation.
It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies t...
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It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver.
This paper proposed an adaptive level set algorithm combining region statistical information for color image segmentation. In this model, we deduce image segmentation model with Maximum a posteriori according to Bayes...
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"Virtual Coach" refers to a coaching program or device aiming to guide users through tasks for the purpose of prompting positive behavior or assisting with learning new skills. This article reviews virtual c...
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This work develops a novel virtual production control system (VPCS), which is allocated on a manufacturer side to adjust production pace of a supplier using a short-term demand plan for reducing inventory level. In ad...
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ISBN:
(纸本)9781424454471
This work develops a novel virtual production control system (VPCS), which is allocated on a manufacturer side to adjust production pace of a supplier using a short-term demand plan for reducing inventory level. In addition to remotely monitoring production progress of a supplier, the proposed VPCS allows manufacturers to pre-schedule the latest outputs using an integer programming model, to simulate the short-term plan by a stochastic colored timed Petri Nets, and to adjust the production pace of the supplier via the plan. An industrial case study shows that the supplier inventory was reduced by 13.8% over that of the real inventory level with an order-fill rate exceeding 99.6% using the proposed VPCS.
The aim of this paper is to introduce the special session on Recent Advances in Complex Networks: Theories and Applications at ISCAS 2010 by giving a brief outline of the subject and presenting some recent advances in...
The aim of this paper is to introduce the special session on Recent Advances in Complex Networks: Theories and Applications at ISCAS 2010 by giving a brief outline of the subject and presenting some recent advances in a field of our own interest, i.e., Control and Synchronization of Complex Networks, with special attention to adaptive synchronization and control strategies.
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