• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.156-161
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• 2008

This work presents an agenda-based approach to improve the robustness of the dialog manager by using dialog examples and n-best recognition hypotheses. This approach supports n-best hypotheses in the dialog manager and keeps track of the dialog state using a discourse interpretation algorithm with the agenda graph and focus stack. Given the agenda graph and n-best hypotheses, the system can predict the next system actions to maximize multi-level score functions. To evaluate the proposed method, a spoken dialog system for a building guidance robot was developed. Preliminary evaluation shows this approach would be effective to improve the robustness of example-based dialog modeling.

• Nuclear Engineering and Technology
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• v.50 no.1
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• pp.159-164
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• 2018

An evaluation of various radiometric methods to analyze $^{226}Ra$ in water has been employed on a set of 10 standard solutions of different concentrations in the range of $1-10Bq/L^{-1}$. The analysis was carried out using well-established procedures by means of gamma-ray, alpha-particle and liquid scintillation spectrometry. The feasibility of the various methods has been quantified in terms of relative standard error and percentage error. Correlations between the various methods have been presented and discussed. In general, good agreement was found in the results of various methodologies, which assures the accuracy of the methods and allows for the validation of instrumentation and procedures. Of the different methods adopted here, a combined procedure for the determination of $^{226}Ra$ along with $^{228}Ra$ using Quantulus 1220 ultra-low level background liquid scintillation counting gave the most accurate results.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.3
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• pp.215-221
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• 2017

Audiological rehabilitation by itself can provide satisfactory services through acquisition of background information on hearing loss, audiological evaluation, analysis of electroacoustic characteristics of hearing aids, and determining acoustic gain. However, hearing can be exacerbated, and sound pressure level of hearing aids can be lowered. Moreover, breakdown of hearing aids can happen. Therefore, the early detection of hearing loss and regular follow-up observations are very important. The aim of this study concern the direction of effective audiological rehabilitation by checking the clinical cases where hearing aids fitting failures were found.

• Journal of the Korean Society of Mechanical Technology
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• v.13 no.1
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• pp.11-16
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• 2011

When the trains are passed the station, a serious force is applied to ground and the caused vibration is propagated to the area of the station by the ground and rocks. The caused vibration brings about the operation interruption of the equipment which is sensitive to the vibration, or will bring about the structural damage of the station. In this study, to investigate the vibrational evaluation of railway station by the train service, the vibration simulation was performed and analyzed the effect of the vibration isolating countermeasure. From the vibration measurement, all trains that passed through the station exceeded the vibration criteria. Therefore, the vibration isolating countermeasure was established and the vibration simulation was performed.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.95-100
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• 2020

Recently, the problem of hypoxia caused by jogging is attracting attention. To solve this problem, this paper proposed a new solution. This paper proved that as a vocalization method of reading aloud, it is possible to increase air intake and activate lung function to exchange more air and obtain more oxygen. Then, blood oxygen saturation was used as an evaluation index for the body's oxygen content level to prove its effectiveness. A photoelectric pulse oximeter developed on the basis of different light absorption principles in blood was used to test blood oxygen saturation. Experimental results show that a certain degree of hypoxia is induced when a lot of oxygen is required due to jogging. Therefore, it was proved that the new vocal breathing method by reading books can increase the blood oxygen saturation of the body and improve the hypoxia of the body. Reading vocal breathing is a simple and efficient oxygen saturation recovery breathing method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2115-2127
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• 2021

Although significant progress has been made in synthesizing visually realistic face images by Generative Adversarial Networks (GANs), there still lacks effective approaches to provide fine-grained control over the generation process for semantic facial attribute editing. In this work, we propose a novel cross channel self-attention based generative adversarial network (CCA-GAN), which weights the importance of multiple channels of features and archives pixel-level feature alignment and conversion, to reduce the impact on irrelevant attributes while editing the target attributes. Evaluation results show that CCA-GAN outperforms state-of-the-art models on the CelebA dataset, reducing Fréchet Inception Distance (FID) and Kernel Inception Distance (KID) by 15~28% and 25~100%, respectively. Furthermore, visualization of generated samples confirms the effect of disentanglement of the proposed model.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.241-247
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• 2021

Particulate matter has emerged as a serious global problem, necessitating highly reliable information on the matter. Therefore, various algorithms have been used in studies to predict particulate matter. In this study, we compared the prediction performance of neural network models that have been actively studied for particulate matter prediction. Among the neural network algorithms, a deep neural network (DNN), a recurrent neural network, and long short-term memory were used to design the optimal prediction model using a hyper-parameter search. In the comparative analysis of the prediction performance of each model, the DNN model showed a lower root mean square error (RMSE) than the other algorithms in the performance comparison using the RMSE and the level of accuracy as metrics for evaluation. The stability of the recurrent neural network was slightly lower than that of the other algorithms, although the accuracy was higher.

• Educational Technology International
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• v.8 no.1
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• pp.71-90
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• 2007

The purpose of this study was to suggest instructional strategies applicable to Blended e-Learning. After examining how traditional universities utilized e-learning, it is attempted to have an interview with three working-level people and seven instructors, who widely applied e-learning to their classes. As a result, it is found that the instructors had some wrong understanding of e-learning, and their wrong perception was rooted in their lack of experience of providing e-learning and their reliance on fragmentary, superficial information. It deterred them from putting e-learning into active practice. Besides, it's additionally attempted to describe how blended e-learning could respectively be applied to different types of lectures, how to improve its social presence and how it could be used for evaluation

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.63-80
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• 2022

In this paper, we study structural changes and performance gains in condition-based maintenance process redesign when mobile IoT technology is embedded into urban railway rolling stock. We first develop condition-based maintenance To-Be process model in accordance with the IoT deployment scheme. Secondly, we draw upon theoretical framework of redesign process analysis to develop performance evaluation method suitable to predictive maintenance shift from As-Is ordinary maintenance practice. Subsequently, To-Be process performance evaluations are conducted adopting both the quantitative and qualitative method for time, cost, and dependability dimensions. The results ascertain the considerable benefits captured through detection abnormality prior to actual rolling stock failure occurrence, and details of performance improvements and enhancement of standardization level is revealed. The procedures and results presented in this paper offers useful insights in the fields of IoT economic analysis, condition based maintenance, and business process redesign.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.193-200
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• 2024

This research focuses on the extent to which the water efficiency elective items of the LEED certification system adapt to the environmental characteristics of regions with varying climatic conditions. The building industry, is being called upon to promote energy-efficient construction, and the issues surrounding water resources are becoming increasingly severe, underscoring the importance of sustainable water resource management. Based on the hypothesis that, despite its global recognition and widespread adoption, the LEED certification does not always adequately address the environmental realities of all regions, this study analyzed new construction cases certified by LEED in the United States, Japan, and Taiwan from 2019 to February 2024. The analysis revealed regional differences based on water efficiency elective items and certification level trends under different climatic conditions. The findings suggest that the LEED certification system may not fully respond to the environmental situations and water resource issues in all regions, raising concerns about the adaptability of water efficiency items and the potential for similar issues in other evaluation items.