http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
도시철도 터널내 콘크리트 도상용 흡음블럭의 최적 배합설계
이홍주,오순택,이동준,Lee, Hong-Joo,Oh, Soon-Taek,Lee, Dong-Jun 한국터널지하공간학회 2016 한국터널지하공간학회논문집 Vol.18 No.1
최근 도시철도 터널내부에서 콘크리트 도상의 확대로 유발된 반사마찰소음에 대한 저감대책으로 다공성 흡음블럭이 적용되고 있다. 운영 중인 도시철도용 품질시험기준과 제정 중인 철도표준규격을 만족하는 흡음블럭의 개발을 위하여 3 단계의 최적 배합설계를 위한 주요 변수시험을 수행하였다. 순환 골재인 플라이애쉬를 혼합하여 건비빔 발포 시료를 개발하여 요구되는 구조성능을 시험하고 혼화재의 영향성을 평가하였다. 또한 도시철도 터널 내부에 시공할 경우 열악한 작업환경과 원활한 유지관리에 대한 대책으로 대표적인 경량골재들을 혼합하여 경량화와 구조성능을 평가하였다. As spreading of train concrete ballast leads to the increase resounding friction noise, an porous sound absorbing block is applied in urban train tunnel as a counterparts against the friction noise. Three steps of major variables tests for an optimal mix design of the block are conducted to pursue the light weight of the block. Pilot property tests of the block for the cases of the fly-ash only as lightweight aggregates are carried satisfying KRT(Korean Rail Transit) and new KRS(Korean Railway Standards). Based on the results of pilot tests, required structural strength and admixture effects are evaluated. Additionally, typical lightweight aggregates are replaced so that lightweight and strength are improved for serviceability of poor working conditions and proper maintenance in urban train tunnel.
인공지능 속성에 대한 고객 태도 변화: AI 스피커 고객 리뷰 분석을 통한 탐색적 연구
이홍주,Lee, Hong Joo 한국지식경영학회 2019 지식경영연구 Vol.20 No.2
AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.