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고령의 의료취약계층을 위한 헬스케어디자인 사례분석 - IPA(Intelligent Personal Assistant) 서비스 중심으로 -
오예슬 ( Oh¸ Ye-seul ),정정호 ( Jung¸ Jung-ho ) 커뮤니케이션디자인학회 2021 커뮤니케이션 디자인학연구 Vol.76 No.-
현재 국내는 급속한 고령화에 따라 사회적으로 다양한 문제를 야기하고 있으며, 그 중 의료서비스에 대한 관심과 수요가 증가함에도 불구하고, 공급은 충족되지 못하는 실정이다. 특히, 고령자의 의료형평성 미확보에 따라 지속적인 의료취약계층을 발생시키고 있어 건강수준의 불평등을 유발하고 있다. 최근 ICT 지능형 기술을 활용한 스마트 헬스케어 시장이 확장됨에 따라 본 연구는 고령 의료취약계층의 건강관리를 독려·관리할 수 있는 지능형 개인비서 서비스 중심의 맞춤형 헬스케어 서비스를 제안한다. 이에 본 연구는 고령자의 서비스 수요 및 고충사항을 중심으로 ① 주관적 건강 만족도 향상 서비스, ② 의료기관 및 의료 서비스에 대한 접근성 향상 서비스, ③ 심리적 케어 서비스 관점에서 서비스 사례분석 유형을 구분하였으며, 최근 10년간 지능형 스마트 헬스케어 서비스를 제안한 국내외 기업의 사례를 선정하여 분석하였다. 연구결과, 첫째, 의료서비스의 불균형을 해결하기 위한 환자와 의료기관 간의 연계서비스 및 의료 데이터화, 둘째, 질병의 선제적 예방관리 및 질병 처방과 재활치료 등의 질병관리 서비스 강화, 셋째, 정신 건강을 위한 멘탈케어 통합서비스의 필요가 도출되었다. 본 연구를 통해 의료인력 부족 문제 해결, 의료편의성 증진, 의료사각지대 해결을 도모할 수 있으며, 고령 의료취약계층의 질병에 대한 선제적 대응을 통해 주체적인 건강관리를 견인하고자 한다. Presently in Korea, various social problems are being raised along with rapid aging, and particularly, despite the increase of interest in and demand for medical service, the needs are not sufficiently met with proper supply. In particular, as medical equity for the aged has not been obtained, medically underprivileged class is increasing constantly, which leads to inequality in health conditions. Lately, the smart health care market utilizing ICT-based intelligent technology is being extended; therefore, this study suggests intelligent personal secretary service-based personalized health care service to encourage and manage medically underprivileged senior people for health management. Here, this study has classified the types of service cases for analysis in consideration of their service demand and difficulties into ① services to improve their subjective health satisfaction, ② services to enhance their accessibility to medical institutes and medicine services, and ③ services from the perspective of psychological care and then selected and analyzed the cases of domestic and overseas companies that has proposed intelligent smart health car e service for the last 10 years. According to the study results, as ways to get rid of the imbalance in medical service, this researcher has drawn first, services to connect patients with medical institutes and the establishment of medical data, second, services to provide preemptive prevention and management for disease and also post-management including rehabilitation treatment, and third, mental care services for mental health. This study will be used to solve the lack of medical manpower, improve medical convenience, and remove the medically blind zone, and it is also aimed to provide preemptive coping with diseases medically underprivileged elderly class is suffering from to realize their independent health management.
모바일 쇼핑 시 한 손 조작의 사용성과 만족도 향상을 위한 UI 디자인 연구
김예슬 ( Kim¸ Ye Seul ),윤재영 ( Yun¸ Jae Young ) 디자인융복합학회(구.한국인포디자인학회) 2021 디자인융복합연구 Vol.20 No.1
이 연구는 스마트폰 화면이 커짐에 따라 불편함으로 제기되는 한 손 사용성에 대한 문제에서 시작되었다. 이를 위해 스마트폰 화면을 상단, 중앙, 하단으로 나누어 12가지의 ‘UI 유형’ 프로토타입 실험물을 제작하였고, 모바일 쇼핑 사용자의 성향을 목적형과 탐색형으로 구분 지어 12가지의 ‘UI 유형’에 따른 사용성, 만족도, 과업수행에서 유의한 차이가 나타나는지에 대한 연구를 진행하였다. 연구 결과 및 내용은 다음과 같다. 첫째, ‘UI 유형’에 따른 사용성과 만족도, 과업수행 시간의 차이에서는 ‘중앙’ 유형인 B1, B2유형의 사용성이 가장 높았으며, ‘하단’ 유형인 C1, C2유형의 사용성이 가장 낮았다. ‘상단’, ‘중앙’, ‘상중’ 유형인 A1, A2, B1, B2, D1, D2유형의 만족도가 가장 높았으며, ‘하단’ 유형인 C1, C2유형의 만족도가 가장 낮았다. 둘째, ‘중앙’ 유형인 B1, B2유형의 과업수행 시간이 가장 빨랐으며, ‘상하’ 유형인 E1유형의 과업수행 시간이 가장 느렸다. 이러한 연구결과를 바탕으로 쇼핑 애플리케이션 홈 화면에서는 사용성과 만족도, 과업수행의 결과를 모두 고려해 검색 바와 메뉴 바의 위치를 ‘상단’, ‘중앙’, ‘상중’ 유형으로 배치하는 방향을 제안하였다. 연구를 통해 향후 스마트폰 사용자 경험 개선과 더불어 애플리케이션 홈 화면 UI 구성 및 발전 방향에 새로운 시각의 가능성을 더해 줄 수 있을 것을 기대한다. This study was based on the inconvenience of smartphones' one-hand usability due to the increase in screen size. The experiment divided the smartphone screen into the top, middle, and bottom, and produced 12 different types of UI prototypes. Also, the mobile user’s shopping tendency was categorized into ‘objective-oriented’ and ‘exploratory-oriented’ types to discover whether there was a significant difference in the utilization, satisfaction, and task performance according to the 12 different UI types. As a result, in terms of usability, satisfaction and task performance time, the ‘middle’ types, B1 and B2 were the most usable, and the ‘bottom’ types C1 and C2 were the least preferred. The highest satisfaction came from the ‘top’, ‘middle’, ‘top-middle’ types: A1, A2, B1, B2, D1, and D2. On the other hand, the lowest satisfaction was derived from the ‘bottom’ types: C1 and C2. In conclusion, the study suggested locating the search and menu bar in the ‘top’, ‘middle’, ‘top-middle’ through the study in the usability, satisfaction, and task performance of the shopping application’s home screen.
Architecture Design of FPGA-SoC for Real-Time Tracking and Mapping in AR-Glasses
Yeseul Son,Jiwoon Yeom,Kwang-Soon Choi 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
As Augmented Reality(AR) is applied to various industries, interest in AR is rapidly increasing. A key technology for displaying virtual objects in AR devices according to a user"s real environment is to grasp the user"s location and map the surrounding environment in real time. Localization and Mapping mainly uses a camera, so the amount of data to be processed is very large. Therefore, real-time tracking and mapping is possible when using a high-performance, high-clock, multi-threaded CPU on a PC. However, since the resources are limited in the embedded environment mounted on the AR glasses, it is difficult to perform real-time tracking and mapping using images. In this paper, we propose the FPGA-SoC architecture of Localization and Mapping IP, which can be manufactured with a small chip for mounting on AR glasses.
Chromosome-Centric Human Proteome Study of Chromosome 11 Team
Yeseul Park,Jin Young Kim,Jong Shin Yoo,Heeyoun Hwang 한국당과학회 2022 한국당과학회 학술대회 Vol.2022 No.07
As a part of the Chromosome-centric Human Proteome Project (C-HPP), we have developed a few algorithms for accurate identification of missing proteins, alternative splicing variants, single amino acid variants, and characterization of function unannotated proteins. We have found missing proteins, novel and known ASVs, and SAAVs using LC-MS/MS data from human brain and olfactory epithelial tissue, where we validated their existence using synthetic peptides. We used the latest released neXtProt database (2022-02) which incorporates PeptideAtlas human (2022-01 build) and MassIVE, where they contains 2 and 7 new sample types (e.g. normal muscle, cancer from other female reproductive organ), respectively. According to the neXtProt database, the number of missing proteins in chromosome 11 shows a decreasing pattern. The development of genomic and transcriptomic sequencing techniques make the number of protein variants in chromosome 11 tremendously increase. For the 73 uPE1 in chromosome 11, we have studied the function annotaion of CCDC90B (NX_Q9GZT6), SMAP (NX_O00193), and C11orf52 (NX_Q96A22).
( Yeseul Park ),( Meeyeon Lee ),( Myung Hee Kim ),( Jung Won Lee ) 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.1
Acute myocardial infarction (AMI) is one of the three emergency diseases that require urgent diagnosis and treatment in the golden hour. It is important to identify the status of the coronary artery in AMI due to the nature of disease. Therefore, multi-modal medical images, which can effectively show the status of the coronary artery, have been widely used to diagnose AMI. However, the legacy system has provided multimodal medical images with flat and unstructured data. It has a lack of semantic information between multimodal images, which are distributed and stored individually. If we can see the status of the coronary artery all at once by integrating the core information extracted from multi-modal medical images, the time for diagnosis and treatment will be reduced. In this paper, we analyze semantic relations between multi-modal medical images based on coronary anatomy for AMI. First, we selected a coronary arteriogram, coronary angiography, and echocardiography as the representative medical images for AMI and extracted semantic features from them, respectively. We then analyzed the semantic relations between them and defined the convergence data model for AMI. As a result, we show that the data model can present core information from multi-modal medical images and enable to diagnose through the united view of AMI intuitively.