http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김동욱,박주만,웨이췬,임형규,박희준,성기웅,이정현,김명남,조진호,Kim, Dong-Wook,Park, Ju-Man,Wei, Qun,Lim, Hyung-Gyu,Park, Hee-Joon,Seong, Ki-Woong,Lee, Jyung-Hyun,Kim, Myoung-Nam,Cho, Jin-Ho 한국센서학회 2011 센서학회지 Vol.20 No.4
Recently, the performance of binaural hearing aids is rapidly improved with the technology advancement of wireless communication, digital signal processing, and integrated circuit design. However, the previous hearing aids developer platforms can't be applied to binaural hearing aids developing, because it has no consideration for wireless communication and binaural hearing control. Also, the previous developer platforms are not easy to use for the algorithm development, because programming languages are limited. In this paper, we designed and implemented the open platform board for binaural hearing aids developing. The designed board can be programmed by general programming language and can be used wireless communication module. In order to verify the designed open platform board, we used the volume control algorithm using two open platform board. As a result of experiment, we verified the performance of designed and implemented open platform board that was successfully operated the binaural hearing control and the wireless communication.
한국어 발음 학습과 자가 평가를 위한 스마트폰 앱(App) 개발 및 교육적 적용 방안 연구 -중국인 한국어 학습자를 대상으로-
안미애 ( Ahn Miae ),웨이췬 ( Wei Qun ),이미향 ( Lee Mihyang ) 이중언어학회 2018 이중언어학 Vol.70 No.-
This study aims to develop a smart phone application for Chinese students to improve their pronunciation by self-evaluation and education. It also aims to find a method that can be applied to a practical teaching environment. For this purpose, the current research team has developed an android based prototype application, as it is the most widely used operating system among Chinese students. This app allows the students to practice and evaluate their speaking skill word by word. Google speech recognition engine was used in the app to recognize the voice. The application functions to provide self study and automatic evaluation of word pronunciation. The app was tested and reviewed by Chinese students with a TOPIK level 3 and higher, in order to investigate the applicability in an actual teaching environment. The students gave positive feedback of the app as a tool to study and evaluate pronunciation. All students however, noted that the prototype was limited in function to only studying words and not sentences. Moving forward, such noted problems will be taken into consideration by the research team to further develop and upgrade a more user friendly app. (Dongguk University of Gyeongju, Keimyung University, Yeungnam University)
PPG 신호를 활용한 고 정확도 제 1심음 및 제 2심음 자동 식별 알고리즘 개발
이수민(S. M. Lee),김부성(B. S. Kim),정동화(D. H. Jung),임홍준(H, J. Lim),박희준(H. J. Park),웨이췬(Qun Wei) 한국재활복지공학회 2021 한국재활복지공학회 학술대회논문집 Vol.2021 No.4
Heart disease is reported as a leading reason that caused human death around world. For the early prevention, using stethoscope to detect abnormalities of the heart sound is one of the most effective method so far. However, because of the noise that inside and outside of the tube of the stethoscope, and sujective judgement devided by the docter will cause the misdiagnosis. To improve the accuracy of the auscultation, in this study, a high-accuracy S1 and S2 heart sound automatic identification algorithm using PPG signal was developed. Based on the 3rd Shannon Energy algorithm, the parameters of the start and end points of S1 and S2 of the hear sound were found. Also, the P-peak value of the PPG signal were extracted and used to find the relationship with the S2 peak. The developed algorithm was conducted a performance test experiment and the rate of identification was higher than the exist algorithm.