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      • 적응적 V2V 엔트로피 부호화 방법

        유은경(Ryu, Eun-kyung),남정학(Nam, Jung-hak),박시내(Park, Sea-nae),심동규(Sim, Dong-gyu) 한국방송·미디어공학회 2011 한국방송공학회 학술발표대회 논문집 Vol.2011 No.7

        본 논문은 HEVC 표준화 회의 중 빈 단위 병렬화 위해 제안된 V2V 기술을 바탕으로 슬라이스 내에서 적응적으로 발생 확률 예측을 통하여 압축 효율을 높이는 기술을 제안한다. 기존의 V2V 기술은 슬라이스 단위로 확률 양자화 간격과 대표 확률 결정하여 다수개의 빈 코더에 매핑하여 병렬 엔트로피 부호화를 수행하였다. 제안하는 방법은 V2V 기술에서 슬라이스 보다 작은 단위의 확률적 특성을 고려하여 슬라이스 내에서 대표확률의 선택을 적응적으로 결정한다. 대표 확률의 적응적인 선택은 이전의 부호화된 빈의 실제 심볼의 확률을 이용하며, 이로 인해 슬라이스 보다 작은 단위의 국부적 특성을 확률 양자화기에 반영할 수 있다. 실험 결과, 제안하는 방법을 위해 실험된 현재 부호화 빈의 발생확률은 이용하여 최적의 확률을 얻는 실험은 기존의 V2V 기술 대비 0.1%의 부호화 효율을 얻었다

      • KCI등재

        복잡도 기반 적응적 샘플 오프셋 병렬화

        유은경(Eun-Kyung Ryu),조현호(Hyun-Ho Jo),서정한(Jung-Han Seo),심동규(Dong-Gyu Sim),김두현(Doo-Hyun Kim),송준호(Joon-Ho Song) 한국방송·미디어공학회 2012 방송공학회논문지 Vol.17 No.3

        In this paper, we propose a complexity-based parallelization method of the sample adaptive offset (SAO) algorithm which is one of HEVC in-loop filters. The SAO algorithm can be regarded as region-based process and the regions are obtained and represented with a quad-tree scheme. A offset to minimize a reconstruction error is sent for each partitioned region. The SAO of the HEVC can be parallelized in data-level. However, because the sizes and complexities of the SAO regions are not regular, workload imbalance occurs with multi-core platform. In this paper, we propose a LCU-based SAO algorithm and a complexity prediction algorithm for each LCU. With the proposed complexity-based LCU processing, we found that the proposed algorithm is faster than the sequential implementation by a factor of 2.38 times. In addition, the proposed algorithm is faster than regular parallel implementation SAO by 21%.

      • 정서생리반응의 변산성에 영향을 주는 요인에 관한 연구

        이임갑 ( Im Gap Yi ),유은경 ( Eun Kyung Ryu ),이경화 ( Kyung Hwa Lee ),박연숙 ( Yeoun Suk Park ),손진훈 ( Jin Hun Sohn ) 한국감성과학회 1998 춘계학술대회 Vol.1998 No.-

        Korean constitutional type(Sasang Chejil) was considered with anxiety level and personality type in order variability frequently encountered in EEG research. Sasang Chejil type seems a very important factor to be controled to minimize the variabilty since Sasang Cheji subgroups showed distinct differences in EEG relative power ao more recording sites and frequency bands than the subgroups of anxiety level and personality type, well-reconized variability-contribution factors. It is likely that Tae-Eum Chejil type is predispositioned to be more relaxed and feel happier and less unhappy than So-Yang type since the former showed greater alpha relative powers and left-hemisphere activations at both of the resting and emotional states.

      • KCI등재

        코딩 유닛 깊이 정보를 이용한 HEVC 디블록킹 필터의 병렬화 기법

        조현호(Hyun-Ho Jo),유은경(Eun-Kyung Ryu),남정학(Jung-Hak Nam),심동규(Dong-Gyu Sim),김두현(Doo-Hyun Kim),송준호(Joon-Ho Song) 한국방송·미디어공학회 2012 방송공학회논문지 Vol.17 No.5

        In this paper, we propose a parallel deblocking algorithm to resolve workload imbalance when the deblocking filter of high efficiency video coding (HEVC) decoder is parallelized. In HEVC, the deblocking filter which is one of the in-loop filters conducts two-step filtering on vertical edges first and horizontal edges later. The deblocking filtering can be conducted with high-speed through data-level parallelism because there is no dependency between adjacent edges for deblocking filtering processes. However, workloads would be imbalanced among regions even though the same amount of data for each region is allocated, which causes performance loss of decoder parallelization. In this paper, we solve the problem for workload imbalance by predicting the complexity of deblocking filtering with coding unit (CU) depth information at a coding tree block (CTB) and by allocating the same amount of workload to each core. Experimental results show that the proposed method achieves average time saving (ATS) by 64.3%, compared to single core-based deblocking filtering and also achieves ATS by 6.7% on average and 13.5% on maximum, compared to the conventional uniform data-level parallelism.

      • OpenMP를 이용한 HEVC 디블록킹 필터의 병렬화 구현

        조현호(Hyun-Ho Jo),서정한(Junghan Seo),유은경(Eun-Kyung Ryu),심동규(Dong-Gyu Sim) 한국방송·미디어공학회 2011 한국방송공학회 학술발표대회 논문집 Vol.2011 No.11

        본 논문에서는 OpenMP를 이용하여 HEVC 복호화기의 디블록킹 필터를 병렬화하는 것을 제안한다. 본 논문에서는 HEVC 디블록킹 필터를 병렬화하기 위하여 슬라이스를 병렬 처리가 가능한 코어의 개수만큼의 영역으로 균등하게 분할 한 후 각 영역에 코어를 할당하였다. 각 영역에 할당된 코어들은 자신의 영역 내의 LCU에 대해서 순차 주사 순으로 필터링을 수행하는데, 먼저 영역 내의 모든 LCU에 대하여 수평방향으로 필터링을 수행한다. 이러한 수평방향 필터링이 완료된 후 동일한 영역에 대하여 다시 수직 방향으로 필터링을 수행한다. 본 논문에서 제안하는 OpenMP를 이용한 HEVC 디블록킹필터 병렬화를 통하여 4-Core 환경에서 복호화기에서 디블록킹 필터링의 수행 시간을 약 2.51배 감소 시켰다.

      • KCI등재후보

        적콜라비싹추출물의 항산화, 항염 및 미백 효과

        정선영(Seon-Young Jeong),황혜리(Hai-Li Hwang),유은경(Eun-Kyung Ryu),차준석(Joon-Seok Cha) 한국화장품미용학회 2018 한국화장품미용학회지 Vol.8 No.2

        This study is for evaluating red kohlrabi (Brassica oleracea var. gongylodes) sprouts as cosmetic ingredient. The sprouts were grown under different light conditions: white, red, blue and dark. We examined biological activities of sprouts extracts to reveal anti-oxidant, anti-inflammatory and skin-brightening effects. In DPPH radical scavenging assay, sprouts grown under the white light showed the best performance, demonstrating the optimized cultivation of raw materials. In melanin synthesis inhibition assays, red kohlrabi sprouts extracts showed concentration-dependent activity, suggesting skin whitening efficacy as a cosmetic ingredient. More interestingly, the extracts showed significantly high activities of NO suppression in macrophages, which is implicated in anti-inflammatory agents of both cosmetic and pharmaceutical industries. Decrease of NO synthesis was up to 80% in our tests, and we subsequently elucidated that TNF-α is reduced by the extracts, leading to the reduction of NO. Light conditions did not seem to modulate skin whitening and anti-inflammatory efficacies, but we could conclude that white light is the best condition given that antioxidant activity was significantly better than the other 3 conditions. With these results, we uncovered the beneficial effects of red kohlrabi sprouts extracts as a cosmetic ingredient, and demonstrated that plant factory system with different light conditions can serve to supply industry-optimized raw materials.

      • KCI등재후보

        플립드러닝(Flipped learning) 수업의 국내 간호교육 연구동향 분석

        강설아(Seol Ah Kang),김미연(Mi Yeon Kim),유은경(Eun Kyung Ryu) 다문화건강학회 2021 다문화건강학회지 Vol.11 No.2

        Purpose: The purpose of this study was to analyze the papers published from 2016 to 2020 that involved studies that applied the flipped learning method to domestic nursing education. Methods: A total of 33 studies on nursing education reported in domestic journals were reviewed. The RISS, KISS, DBpia, NDSL, and Google Scholar databases were searched using the analysis criteria developed by the researchers. The general and methodological characteristics and study design of nursing education using flipped learning were analyzed. Result: Among the studies reviewed, 26 were quantitative studies (78.9%), followed by 3 qualitative studies (9.1%) and 4 mixed studies (12.1%). The subject that was most studied was fundamental nursing practice accounting for 9 instances (27.3%). The main variables of quantitative research were diverse, such as self-directed learning ability, critical thinking ability, academic achievement, and problem-solving ability. Qualitative research was about the experience of implementing flipped learning. Conclusion: The flipped learning method was effective in imparting the core competency content required for nursing students. Hence, educators should seek various ways in which this method could be applied to enhance nursing education.

      • 외래예약 스케쥴링 중재가 대기시간에 미치는 영향

        우혜종,이계정,유은경,박소현,김영란,이부섭,이필호,황인경,류우미,오정미 중앙대학교 의과대학 간호학과 간호과학연구소 2011 중앙간호논문집 Vol.15 No.-

        Background: It is important to develop innovative clinical scheduling systems to minimize patients' waiting time and maximize the patients' satisfaction with the services provided. Purpose: The purpose of this study was a) to evaluate the effectiveness of a clinic scheduling intervention in an outpatient clinic on waiting time and perceived waiting time and b) to explore perceived waiting time and its correlates. Methods: A total of 1718 outpatients who visited an orthopedic clinic at a University hospital from July 2010 to December 2010 were enrolled and randomly assigned to either the control group or one of 4 clinic scheduling model which were designed based on time and case. Data including waiting time, demographic data, and evaluation of clinical services were collected after patients' clinic visits. Data were analyzed using SPSS for Windows (ver. 20) and SAS 9.0. Descriptive statistics, Pearson correlation, ANOVA, and linear regression were used. Results: The waiting times in modified schedule groups were shorter than in the control group (P<0.001). There was significant relationship between the length of waiting time and negative emotion (r=0.031, P<0.001), and low acceptability (r=-0.31, P<0.001) respectively. Covariates predicted negative emotions (Ps <0.001) after controlling for waiting time; however, controllability and stability did not predict acceptability (Ps>0.05) respectively after controlling for waiting time. Conclusion: A clinic scheduling intervention based on time and case would reduce outpatients' waiting time, resulting in increased satisfaction with services.

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