http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 주제어 : Bi-Directional Fusion (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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A Comparative Study on Segmental Coalescence
이민경 대한영어영문학회 2023 영어영문학연구 Vol.49 No.4
Segmental coalescence or fusion results from feature agreement between two neighboring sounds and subsequent deletion. When two segments are abutting with each other within or across a morpheme boundary, a newly-created singleton takes after the characteristics of the preceding and following segments, i.e. bi-directional or mutual. In this paper, segmental coalescence phenomena found in English and other Indo-European languages such as French and Spanish are mainly dealt with. For the former language, as a typical case of consonantal coalescence, an alveolar obstruent is followed by a palatal glide /j/, which gives rise to the alveolar-palatal fusion. For the latter, however, the fusion of a vowel and a consonant, usually a nasal, is witnessed in French while that of two neighboring vowels is found in Spanish. Such bi-directional fusion well conforms to the step-wise derivation via constraints and their interaction under the regime of harmonic serialism in Optimality Theoretic grammar. Through the serial processes of derivation, each deviant form from an input gets more harmonic in a gradual mode up to the final stage of convergence via the loop of Gen-Eval. In essence, feature Agreement and OCP are conflicting and responsible for segmental compromise when two neighbors are merged into a newly-created singleton.
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BF-YOLOv3-tiny를 사용한 정확한 동공 추적 시스템 구현
최건호,주재한,김석찬 한국멀티미디어학회 2024 멀티미디어학회논문지 Vol.27 No.3
Fast and accurate pupil tracking, even in environments with limited computing resources, is critical for applications such as eye tracking and driver drowsiness warning systems. This paper proposes BF-YOLOv3-tiny for fast and accurate pupil tracking. Key improvements include: A bi-directional fusion method was applied to interconnect low-resolution and high-resolution feature maps, and anchors boxes were selected by considering distribution changes due to data augmentation during training process. In addition, a signal processing technique to remove grid sensitivity and an IoU-based loss function were adopted when model predicts the bounding boxes. Data provided by Department of Ophthalmology of Pusan National University hospital was used to evaluate the proposed model, and the results were compared and analyzed through comparative experiments with five lightweight networks. The proposed model shows performance up to 98.0 AP 50, 78.8 AP 75, and 44.6 AP T, outperforming compared to existing YOLOv3-tiny and other lightweight networks. Lastly, as a result of implementing the model with the best performance on NVIDIA Jetson Nano, it achieved up to 100.0 AP 50 and 26.2 FPS, demonstrating its feasibility and an accurate and real-time pupil tracking system even in an environment with limited computing resources.
KCI
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