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Insights into the major phenolic acids in Perilla frutescens obtained by a sustainable procedure
Yu-Chiao Yang,Chia-Sui Wang,Ming-Chi Wei 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.96 No.-
This research was performed to evaluate the efficiency of ultrasound in obtaining the total extract, caffeicacid and rosmarinic acid from Perilla frutescens using supercritical CO2 (USCCO2) extraction. Comparedwith traditional heat-reflux, ultrasonic-assisted and SCCO2 extractions, the USCCO2 technique decreasedthe extraction duration (1.12–1.92 times) and the consumption of solvent (1.90–285.71 times) at lowerextraction temperatures and obtained a higher yield from the plant matrix. Furthermore, a second-orderkinetic model and Fick’s second diffusion model were implemented to ascertain the extraction rateconstant, equilibrium concentration, initial extraction rate, effective diffusion coefficient, mass transfercoefficient, Biot number, equilibrium constant and thermodynamic parameters of the USCCO2 and SCCO2dynamic extractions of rosmarinic acid from P. frutescens. These results provide valuable insights into thekinetic and mass transfer behaviors that occur during the USCCO2 and SCCO2 procedures and explain thereasons for the better extraction efficiency of the former procedure.
User Identification Design by Fusion of Face Recognition and Speaker Recognition
Chao-Yu Lin,Kai-Tai Song,Yi-Wen Chen,Shuo-Cheng Chien,Sin-Horng Chen,Chen-Yu Chiang,Jyh-Her Yang,Yi-Chiao Wu,Tzu-Jui Liu 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Intelligent human-robot interface helps a mobile robot to extract external information and interact with a user. User identification information allows a robot to generate appropriate behaviors and make personalized human-robot interaction (PHRI) more natural and safe. Most of service robots move around in various application settings, and biometric features always change during relative movements. In this work, a fusion recognition system based on face and speaker classifiers is designed to achieve the user recognition in various environments. We propose a method to fuse face and speech recognition results based on the concept of confidence indices. Through the derived confidence indices, the system combines the two classifiers and gives improved recognition results. Experiments on a laboratory home service robot show that person recognition rates in 15 environmental situations all outperform those of using single modality.
Ching-Cheng Chao,Fang-Yuan Chen,Ching-Chiao Yang,Chien-Yu Chen 인하대학교 정석물류통상연구원 2016 JOURNAL OF INTERNATIONAL LOGISTICS AND TRADE Vol.14 No.1
The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder
Ming-Chi Wei,Show-Jen Hong,Yu-Chiao Yang 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.48 No.-
The present study investigated a green ultrasound-assisted supercritical carbon dioxide (USC–CO2)process for extracting oleanolic acid (OA) and ursolic acid (UA) from Hedyotis corymbosa. Chrastil, Bartleand Kumar and Johnston models were used to correlate the experimentalfictitious solubility data. Theoverall average absolute relative deviation (AARD (%)) in solid solubility ranged from 3.632% to 6.529%,which indicates good agreement between the experimentalfictitious solubility data and the modeledresults. Using the correlation results, the total heat of solution and the enthalpies of vaporization andsolvation for OA and UA in the USC–CO2 extraction process were also estimated.