It is an urgent need to find an objective way to estimate the degree of fatigue of employees. In this study, we designed a monitoring and estimation system for the degree of fatigue. This paper explains a long-term pe...
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It is an urgent need to find an objective way to estimate the degree of fatigue of employees. In this study, we designed a monitoring and estimation system for the degree of fatigue. This paper explains a long-term pedaling experiment that we use it to explore the possibility to use only the time sequence data of head movement during pedaling to estimate the fatigue. While we show the possibility for this through experimental data, it is clear that we need to collect more data to establish an estimation method.
We present an interactive system helping reconstruct a 3D indoor environment and manipulate it using a moving 3D sensor. Our system takes the depth stream from a depth sensor and converts it into point clouds. After t...
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Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) collaboration used a joint fit to two-point correlation...
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We present a demonstration of delensing the observed cosmic microwave background (CMB) B-mode polarization anisotropy. This process of reducing the gravitational-lensing generated B-mode component will become increasi...
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In this paper, we present fast approaches for object segmentation and surface restoration of indoor 3D point clouds, which are the results of 3D reconstruction methods or range scanners. These two problems are signifi...
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Identification of analysis classes is a critical design decision to be made early in the design phase in software development. Although incorrect identification of analysis classes can diminish the quality of a whole ...
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Identification of analysis classes is a critical design decision to be made early in the design phase in software development. Although incorrect identification of analysis classes can diminish the quality of a whole software design, it still heavily relies on the expertise and experience of the developer and has been ad-hoc. The majority existing works on identification of analysis classes focus on the rule-based approaches. However, the rule-based approaches which are used for analyzing sentence structures cannot be adopted for the language, which has very flexible word order like Korean. In this paper, we proposed a statistical learning method for identification of analysis classes from requirements sentences in Korean. The approach is evaluated using the precision and recall of the automatically extracted candidate classes from real requirements sentences in Korean. The result shows that we can promise numerically measurable enhancement of performance on solving the automatic identification problem of analysis classes using statistical methods, in the real use case specifications of a banking system.
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come togethe...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
We present measurements of the E-mode polarization angular auto-power spectrum (EE) and temperature-E-mode cross-power spectrum (TE) of the cosmic microwave background (CMB) using 150 GHz data from three seasons of SP...
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