http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Pipelined Bitonic 정렬기 전용 저전력 임베디드 SRAM
최경락(Kyungrak Choi),정진일(Jinil Chung),당호영(Hoyoung Tang),최웅(Woong Choi),박종선(Jongsun Park) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
In this paper, embedded SRAM architecture for bitonic sorter is customized to reduce the unnecessary power consumption. It can be efficiently modified by analyzing the general read and write access patterns. There are some of the needless controls between read and write operations and it can be optimized. According to the simulation results with 65nm CMOS process, the proposed embedded memory used for bitonic sorter achieves 18.75% of power savings with 4.88% of overhead compared to the conventional embedded SRAM approaches.
Improving mobile accessibility based on characteristics and behavior of the visually impaired
Hyunji Park,Sooyoung Kim,Yoonchan Won,Kyungrak Choi,Jiyoung Hong,Minhaeng Cho,Jinhae Choi 대한인간공학회 2016 대한인간공학회 학술대회논문집 Vol.2016 No.11
Objective: The aim of this study is to investigate behavior of people with visual impairment (including blind and low vision) and analyze their characteristics to improve mobile accessibility. Background: Even with ongoing attempts to improve mobile accessibility and minimize the information gap for the visually impaired, such as creating and enforcing accessibility guide for mobile devices, they are still faced with difficulties when using mobile devices. Therefore it is crucial to realize specific characteristics of different types of visual impairment and approach the real needs of these users when designing smartphone UX. Method: Six visually impaired participants (three fully blind, three low vision) are observed in their daily life using Shadow Tracking. Various daily activities and events, such as travelling from area to another, checking location information, using other supporting devices, using smartphone and more, are observed to refresh and improve current understandings on their behavior patterns and spot the real critical needs. Results: It was commonly observed among participants that voice assistant was used tremendously and travelling from one area to another was the activity with most difficulty. However, resulting behaviors widely varied based on their level of impairment and the starting point of it. Conclusion: This study observed daily lives and mobile device usages of visually impaired, and analyzed the different characteristics of behaviors by different types of visual impairment. These findings will lead to future design researches on UX improvements for current accessibility features and also on building general UX principles for voice assistant. Application: This research will be used for improving and designing mobile accessibility UX for people with visual impairment.