• Journal of information and communication convergence engineering
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• 제7권4호
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• pp.501-506
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• 2009

In the H.264/ AVC video coding standard, the intra-prediction coding with various block sizes offers a considerably high improvement in coding efficiency compared to previous standards. In order to achieve this, H.264/AVC uses the Rate-distortion optimization (RDO) technique to select the best intraprediction mode for a macroblock, and it brings about the drastic increase of the computation complexity of H.264 encoder. To reduce the computation complexity and stabilize the coding performance on visual quality, this paper proposed a fast intra-prediction mode decision algorithm using non-parametric thresholds and simplified directional masks. The use of nonparametric thresholds makes the intra-coding performance not be dependent on types of video sequences and simplified directional masks reduces the compuation loads needed by the calculation of local edge information. Experiment results show that the proposed algorithm is able to reduce more than 55% of the whole encoding time with a negligible loss in PSNR and bitrates and provides the stable performance regardless types of video sequences.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2006년도 춘계 학술대회 발표논문집
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• pp.117-120
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• 2006

This paper examined two hypotheses. Firstly, if the first syllable of word play an important role in visual word recognition, it may be the unit of word neighbor. Secondly, if the first syllable is the unit of lexical access, the neighborhood size effect and the neighborhood frequency effect would appear in a lexical decision task and a form primed lexical decision task. We conducted two experiments. Experiment 1 showed that words had large neighbors made a inhibitory effect in the LDT(lexical decision task). Experiment 2 showed the interaction between the neighborhood frequency effectand the word form similarity in the form primed LDT. We concluded that the first syllable in Korean words might be the unit of word neighborhood and play a central role in a lexical access.

• 농업과학연구
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• 제38권4호
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• pp.731-737
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• 2011

In the modern society, GIS-based decision support system has been used in evaluating environmental issues and changes due to spatial and temporal analysis capabilities of the GIS. However without proper manual of these systems, its desired goals could not be achieved. In this study, audio-visual SWAT tutorial system was developed to evaluate its effectives in learning the SWAT model. Learning effects was analyzed after in-class demonstration and survey. The survey was conducted for $3^{rd}$ grade students with/without audio-visual materials using 30 questionnaires, composed of 3 items for trend of respondent, 5 items for effects of audio-visual materials, and 12 items for effects of with/without manual in learning the model. For group without audio-visual manual, 2.98 out of 5 was obtained and 4.05 out of 5 was obtained for group with audio-visual manual, indicating higher content delivery with audio-visual learning effects. As shown in this study, the audio-visual learning material should be developed and used in various computer-based modeling system.

• 한국의료질향상학회지
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• 제8권2호
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 한국항행학회논문지
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• 제11권1호
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• pp.105-111
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• 2007

본 논문에서는 퍼지추론을 이용하여 워터마크가 삽입될 최적의 부 대역을 결정하는 방법을 기술하였다. 제안한 방법은 퍼지추론 및 대조도 등과 같은 인간의 시각시스템도 고려하였다. 먼저 시각시스템과 통계적 특성을 활용하여 최적의 계수 대역을 설정하였고, 외부환경 변화에도 대응할 수 있는 퍼지 추론기를 설계 하였다. 비가시성과 워터마크의 정확도를 실험한 결과, 대조도는 스므드 영상에서 우수하였고, 러프한 영상에서는 통계적 특성이 우수함을 보였다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.739-742
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• 2007

토적계산의 수량산정을 위한 지형정보시스템은 공사전후의 수치지형도를 토대로 과거와 현재의 지형변화를 예측케하며 지형변화에 대한 시각적 판단으로 도모한다. 본 사례연구는 경제성, 기술뿐 아니라 자연적 요인을 고려한 종합적 검토를 수행하여 개발 계획 및 개발과정에 대한 타당성을 검정하고, 이를 위해 시공 전의 지형적 형상과 시공 후의 현황을 바탕으로 다양한 기하학적 분석을 수행함으로써 향후 토적계산을 산정하는데 유용한 자료로 활용할 수 있을 것이다.

• 디지털융복합연구
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• 제16권11호
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• pp.281-288
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• 2018

본 연구는 온라인 판매자에 대한 위험지각이 소비자의 구매의도에 미치는 관계에 구전정보의 시각적 단서가 어떠한 조절효과를 미치는가를 검증하기 위한 목적으로 시행되었다. 본 연구는 긍정 혹은 부정적으로 나뉜 구전정보에 따라 시각단서의 조절효과 방향이 다를 것이라는 가설하에 2(위험지각: 고 vs. 저) X 2(시각적 단서: 유 vs. 무)의 두 실험연구가 진행되었다. 첫 번째 연구결과(n=123), 긍정적 구전정보에서의 시각적 단서는 위험지각이 소비자 구매의도에 미치는 부정적 영향을 줄여주는 것으로 밝혀졌다. 하지만 두 번째 연구결과(n=122), 부정적 구전정보에서의 시각적 단서는 위험지각이 소비자 구매의도에 미치는 영향을 더욱 강화해주는 것으로 검증되었다. 본 연구결과는 온라인 구전정보의 시각적 단서가 소비자 의사결정에 설득력을 높여줌을 시사하였다. 또한, 본 연구결과를 바탕으로 온라인 판매자에 대한 소비자의 위험지각이 높은 경우, 긍정적 부정적 구전정보의 시각단서를 어떻게 전략적으로 활용할 수 있을지에 대한 실무적 함의를 논의하였다.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.362-373
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• 2021

본 연구는 비주얼 씽킹과 윈도우 패닝을 적용한 간호윤리와 전문직 교과목 수업개선의 실행과정과 그 효과를 확인하기 위한 통합연구방법설계의 실행연구이다. 이 연구는 G시 소재 간호학과 2학년 학생들 중 114명을 대상으로 2018년 2월부터 9월까지 이루어졌다. 실행연구에 대한 개념적 모형을 기반으로 하여 양적·질적 접근을 통해 통합적으로 자료를 수집하고 분석하는 과정을 거쳤다. 양적접근으로는 윤리적의사결정 자신감, 생명의료윤리의식, 간호전문직관을 설문지를 통해 평가하였고, SPSS WIN 23.0 program 으로 분석하였다. 질적 접근으로는 수업참여에 대한 경험을 개방형 질문을 통해 면담하고 전사된 자료는 내용분석을 실시하였다. 비주얼 씽킹과 윈도우 패닝을 적용한 결과 윤리적의사 결정자신감(t=6.748, p<.001), 간호전문직관(t=-3.52, p<.001)은 통계적으로 유의한 변화를 보였으나 생명의료윤리의식(t=1.291, p=.199)은 유의한 변화가 없었다. 질적분석 결과, 신선한 경험, 낯설지만 편안한 느낌, 내것이 되어감, 부족한 시간, 이론 기반의 체계적인 사례연구 접근, 토의토론을 통한 협력과 조정능력함양, 다양한 전문직 분야에 대한 체감, 자긍심, 윤리적 책임의식, 학습내용의 현장적용 등을 경험하는 것으로 나타났다. 비주얼 씽킹과 윈도우 패닝을 적용한 교수법은 간호교육에 있어서 다양한 역량을 함양하고 통합적인 학습이 일어나도록 돕는다. 따라서 본 연구의 결과를 반영하여 간호핵심역량을 개발하기 위한 타교과목의 수업개선에도 적용할 것을 제안한다.

• 한국조경학회지
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• 제29권5호
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• pp.28-36
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• 2001

The purpose of this study is to research the influence of soundscape in the preference of landscape. Specifically, standards type of communication are applied to the landscape such as positive scenery and negative scenery. The spatial image was analyzed by the variables of Kaplan\`s information process model. The level of visual preferences was measured by a type of acoustic information and visual information in the landscape, and this data was analyzed by multiple regression. The results of this study can be summarized as follows; The value of landscape preference was maximum value in Type I and minimum value in Type II from all fluent of coherence, mystery, and legibility to, except complexity, and it was not different from preference. These results clearly show the influence of sounds effecting decision of landscape preference. It was different by the type of acoustic information and visual information in landscape. The results of ANOVA among types of acoustic information were differences of mean between positive sound, no sound and negative sound from coherence, mystery, and legibility to, except complexity. These variables may be the major factors which must be considered in planning and designing as the functional basis for quantitative analysis.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.773-779
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• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.