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Shih-Meng Hsu,Jun-Pu Hsu,Chien-Chung Ke,Yen-Tsu Lin,Chi-Chao Huang 한국지질과학협의회 2020 Geosciences Journal Vol.24 No.2
This study proposes an application of the classical rock mass classification concept on the estimation of in situ hydraulic conductivity of regolith and fractured bedrock which can be utilized to evaluate groundwater potential in mountainous areas. On the basis of boring logs, borehole televiewer image data, and double packer hydraulic test data conducted in the Basin of Jhuoshuei River of central Taiwan with the aid of bivariate analysis, two rock mass permeability classification systems (Hydro-Potential value for Regolith (HPR) and Hydro-Potential value for Bedrock (HPB) System) were developed. By regression analysis, the dependence of HPB/HPR on in situ hydraulic conductivity was performed, and two empirical models for estimating in situ hydraulic conductivity were derived. Meanwhile, two derived models were validated through the comparison against results from other types of hydraulic test data (pumping and single packer tests). Therefore, the development of the empirical models for a groundwater-related project enables to help the planning of detailed investigations for the determination of hydraulic conductivity with cost-effectiveness.
Human-Oriented Recognition for Intelligent Interactive Office Robot
Chia-Ming Wang,Shin-Huan Tseng,Pei-Wen Wu,Yuan-Han Xu,Chien-Ke Liao,Yu-Chi Lin,Yi-Shiu Chiang,Chung-Dial Lim,Ting-Sheng Chu,Li-Chen Fu 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper presents our new intelligent interactive robot, which is constructed to eagerly provide multi-functional services in an office environment. In order to endow a full interactive capability of our robots for realizing so-called human-robot interaction (HRI), we propose sensor fusion based human detection and tracking system and human pose estimation to deal with a number of situations which may take place in the office environment. Not only by these perceptions, human interact with the robot also by some natural way, such as touching the interface screen and talking with the robot through microphone. Finally, the effectiveness of the proposed work is tested and validated by some of experiments.