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      • 대학 교양영어 독해력시간의 효율적인 활용

        朴商玉 弘益大學校 1980 弘大論叢 Vol.12 No.-

        A considerable literature exists on "Teaching English Reading." Most of the papers, however, end up with theoretical discussions. It is obvious that empirical support is required for the assertions made on those papers to be convincing. For this reason, the author reviews some theoretical proposals of the previous studies, and then gets student responses to assess their practical value. The students were, at that time, freshmen who were attending Duk-Sung Women's College during the second semester of 1979 academic year. Interestingly enough, the analysis reveals that most of the selected proposals receive considerable empirical support. On the basis of such findings as above, the author makes several practical proposals for the effective teaching of English reading in colleges.

      • KCI등재

        Feasibility of Automated Quantification of Regional Disease Patterns Depicted on High-Resolution Computed Tomography in Patients with Various Diffuse Lung Diseases

        박상옥,서준범,김남국,박성훈,이영경,박범우,성유섭,이영주,이정진,강석호 대한영상의학회 2009 Korean Journal of Radiology Vol.10 No.5

        Objective: This study was designed to develop an automated system for quantification of various regional disease patterns of diffuse lung diseases as depicted on high-resolution computed tomography (HRCT) and to compare the performance of the automated system with human readers. Materials and Methods: A total of 600 circular regions-of-interest (ROIs), 10 pixels in diameter, were utilized. The 600 ROIs comprised 100 ROIs that represented six typical regional patterns (normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). The ROIs were used to train the automated classification system based on the use of a Support Vector Machine classifier and 37 features of texture and shape. The performance of the classification system was tested with a 5-fold cross-validation method. An automated quantification system was developed with a moving ROI in the lung area, which helped classify each pixel into six categories. A total of 92 HRCT images obtained from patients with different diseases were used to validate the quantification system. Two radiologists independently classified lung areas of the same CT images into six patterns using the manual drawing function of dedicated software. Agreement between the automated system and the readers and between the two individual readers was assessed. Results: The overall accuracy of the system to classify each disease pattern based on the typical ROIs was 89%. When the quantification results were examined, the average agreement between the system and each radiologist was 52% and 49%, respectively. The agreement between the two radiologists was 67%. Conclusion: An automated quantification system for various regional patterns of diffuse interstitial lung diseases can be used for objective and reproducible assessment of disease severity. Objective: This study was designed to develop an automated system for quantification of various regional disease patterns of diffuse lung diseases as depicted on high-resolution computed tomography (HRCT) and to compare the performance of the automated system with human readers. Materials and Methods: A total of 600 circular regions-of-interest (ROIs), 10 pixels in diameter, were utilized. The 600 ROIs comprised 100 ROIs that represented six typical regional patterns (normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). The ROIs were used to train the automated classification system based on the use of a Support Vector Machine classifier and 37 features of texture and shape. The performance of the classification system was tested with a 5-fold cross-validation method. An automated quantification system was developed with a moving ROI in the lung area, which helped classify each pixel into six categories. A total of 92 HRCT images obtained from patients with different diseases were used to validate the quantification system. Two radiologists independently classified lung areas of the same CT images into six patterns using the manual drawing function of dedicated software. Agreement between the automated system and the readers and between the two individual readers was assessed. Results: The overall accuracy of the system to classify each disease pattern based on the typical ROIs was 89%. When the quantification results were examined, the average agreement between the system and each radiologist was 52% and 49%, respectively. The agreement between the two radiologists was 67%. Conclusion: An automated quantification system for various regional patterns of diffuse interstitial lung diseases can be used for objective and reproducible assessment of disease severity.

      • KCI등재후보

        Orienting Native English Teachers to Korean Students: From Sociocultural Perspectives

        박상옥 현대영어교육학회 2008 현대영어교육 Vol.9 No.1

        Under the assumption that different expectations by people from different native cultural backgrounds might lead to serious mismatches so as to affect them in a teaching and learning relationship, this paper looks into the religious tradition of Korean culture and the process of recent economic development, two major determining factors of molding their current distinctive cultural identity. Some typical student‐specific characteristics of Koreans are then derived and compared with those of Americans which although there are differences, would be relatively similar to other native English teachers (NETs) in Korea. Additionally, several common behaviors of Korean students in and around the classroom are summarized, followed by those of NETs which are likely to render awkward feelings among both parties. Based on these, specific guidelines are provided to help NETs teach their Korean students more effectively and vice versa, i.e., for Korean students to understand their NETs. Finally, the results of the practical application of this orientation material to the selected NETs are presented.

      • KCI등재

        바크 코히어런스 함수를 이용한 이동 전화 음질 평가

        박상옥,류승균,박영철,윤대희 한국통신학회 2001 韓國通信學會論文誌 Vol.26 No.4

        음질 평가에는 주관적 음질 평가법과 객관적 음질 평가법이 있는데, 주관적 음질 평가법은 사람이 직접 듣고 평가하므로 실제 체감 음질을 나타낸다. 그러나 많은 사람들에 의하여 직접 평가되므로 비용과 시간이 많이 소모되는 단점이 있다. 객관적 음질 평가법은 수학적인 계산에 의하여 원음과 왜곡음의 유사성을 비교하는 것으로 빠르고 비용이 적게 되나 실제 체감 음질과는 거리과 있다. 본 논문에서는 객관적 음질 평가 척도로 BCF(Bark Coherence Function)을 제안한다. BCF는 심리 음향 영역에서 코히어런스 함수를 정의한 것으로 기존의 객관적 음질 평가법에 비하여 주관적 음질과 상관관계가 높고 계산량이 적다. CDMA 이동 전화 시스템의 음성 데이터와 회기분석 결과, BCF가 ITU-T 표준안의 PSQM(Perceptual Speech Quality Measure)와 MNB(Measuring Normalizing Block)에 비하여 높은 상관관계를 갖음을 입증하였다.

      • KCI등재
      • KCI등재

        성인대학생의 자기주도학습준비도가 고등교육 참여성과에 미치는 영향 : G대학교 사례를 중심으로

        박상옥 한국성인교육학회 2015 Andragogy Today : International Journal of Adult & Vol.18 No.1

        '스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 9시까지 원문보기가 가능합니다.

        The purpose of the study was to investigate the characteristics of the non-typical adult undergraduate students and their perceived performance of higher education, including satisfaction and learning outcomes. In order to achieve this purpose, the SDLR(Self-Directed Learning Readiness) of the adult students in G university, the satisfaction about higher education, their perceived learning outcome, and the relationship between their SDLR and performance in higher education were analyzed. The results of the study showed that there were no significant differences of the SDLR of the adult students by sex, age, period of working experience, and kinds of admission, that there was a significant positive relationship between the satisfaction about higher education and the age, the period of working experience, and the student entering through the special admission for specialized high school graduates, and that their perceived learning outcome had the similar patterns with the satisfaction about higher education. Also, there was a significant positive correlation between the SDLR of the adult undergraduate students and their perceived performance of higher education. And adult students' SDLR illustrated a significant role on their educational satisfaction and learning outcome of higher education. According to these results, it might be concluded that universities need to make up for the instructors and educational contents for the adult learners, and to seek a better plan to improve their perceived performance related to job performance, in order to meet the demands for the recurrent education as well as the continuing education in universities of the adult learners with relatively high SDLR. 본 연구의 목적은 현재 대학에 재학 중인 성인대학생들의 자기주도학습준비도와 그들이 인식하는 고등교육의 참여성과 간의 관계를 설명하는 것이다. 이를 위해 G대학교에 재학 중인 성인대학생들의 자기주도학습준비도와 대학교육 만족도 및 학습성과 인식을 분석하고, 자기주도학습준비도와 고등교육 참여성과 간의 관계를 분석하였다. 연구결과 성, 연령, 직업생활 기간, 입학경로에 따른 자기주도학습준비도는 유의한 차이가 나타나지 않았고, 대학교육 만족도는 연령이 높고 직업생활 기간이 길수록 그리고 특성화고졸재직자전형으로 입학한 학생이 높게 나타났으며, 학습성과 인식 역시 대학교육 만족도와 유사한 경향을 보였다. 또한 자기주도학습준비도와 교육성과 인식의 총점 및 하위영역 간에는 모두 정적으로 유의한 상관관계가 있었다. 그리고 자기주도학습준비도는 대학교육 만족도와 학습성과 인식에 유의미한 영향을 미치고 있었다. 이러한 결과를 통해서, 앞으로 대학이 상대적으로 높은 자기주도성을 가진 성인의 대학교육 참여 가능성과 이미 대학교육 경험이 있는 성인들의 재교육 수요에 부응하기 위해서 성인학습자에게 적합한 교수자와 교육내용을 준비하고, 직무능력 향상에 관한 성과인식을 높여줄 수 있는 방안 모색이 필요함을 추론할 수 있다.

      • KCI등재

        학습동아리 활성도가 지역공동체의식과 사회적자본에 미치는 영향

        박상옥 한국방송통신대학교 원격교육연구소 2015 평생학습사회 Vol.11 No.3

        The purpose of this study is to analyze the effects of the learning circles’ vitality on the sense of community and the social capital. For the purpose of the study, the survey was conducted with the participants of learning circles in the three cities. As a result, the sense of community and the social capital were higher the more the learning circles were activated. The sense of community has been influenced by the application of learning outcomes and human and material resources out of the factors of the learning circles’ vitality. Also, the socal capital has been influenced by the application of learning outcomes and the personal growth in learning circles. Based on these results, it might be concluded that it is above all important to support the participants of learning circles interact with the local community and the neighbors in community through the various practices of learning outcomes in order to revitalize and activate the local community. 이 연구는 학습동아리가 활성화될 때 지역공동체에 어떤 영향을 미치는 지 살펴보기 위해서 학습동아리 활성도가 지역공동체의식과 사회적자본에 미치는 영향을 분석하였다. 이를 위해 서울시 A구, B구, 경기도 C시의 학습동아리 참여자를 대상으로 학습동아리 활성도, 지역공동체의식, 사회적자본을 조사하여 다중회귀분석을 실시하였다. 연구 결과 지역공동체의식에 유의미한 영향을 미치는 학습동아리 활성도의 하위 변인은 학습 결과 활용과 인적․물적 자원 활용이었고, 사회적자본에 영향을 미치는 변인은 학습 결과 활용과 개인적 성장이었다. 또한 학습동아리 활성도의 하위 변인 중에서 학습 결과 활용이 지역공동체의식과 사회적자본에 가장 큰 영향을 미치는 것으로 나타났다. 이러한 연구 결과는 학습동아리를 통해서 지역사회에서 공동체성을 회복 및 활성화할 수 있음을 실증해 준다고 할 수 있다. 또한 학습동아리가 평생교육기관의 안정적인 인적․물적 지원을 받고, 학습동아리 참여자가 성장을 이루는 것도 중요하지만, 지역공동체를 활성화하기 위해서는 학습동아리가 지역사회에서 학습 결과를 다양한 방식으로 실천함으로써 지역사회와 상호작용하도록 하는 것이 무엇보다 중요하다는 것을 보여 준다. 이는 지역공동체가 지역주민의 상호작용을 통해서 형성되고 발전한다는 기존의 논의를 다시 입증한다고 할 수 있다.

      • KCI등재
      • KCI등재

        Comparison of Usual Interstitial Pneumonia and Nonspecific Interstitial Pneumonia: Quantification of Disease Severity and Discrimination between Two Diseases on HRCT Using a Texture-Based Automated System

        박상옥,서준범,김남국,이영경,이정진,김동순 대한영상의학회 2011 Korean Journal of Radiology Vol.12 No.3

        Objective: To evaluate the usefulness of an automated system for quantification and discrimination of usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP). Materials and Methods: An automated system to quantify six regional high-resolution CT (HRCT) patterns: normal, NL; ground-glass opacity, GGO; reticular opacity, RO; honeycombing, HC; emphysema, EMPH; and consolidation, CONS, was developed using texture and shape features. Fifty-four patients with pathologically proven UIP (n = 26) and pathologically proven NSIP (n = 28) were included as part of this study. Inter-observer agreement in measuring the extent of each HRCT pattern between the system and two thoracic radiologists were assessed in 26 randomly selected subsets using an interclass correlation coefficient (ICC). A linear regression analysis was used to assess the contribution of each disease pattern to the pulmonary function test parameters. The discriminating capacity of the system between UIP and NSIP was evaluated using a binomial logistic regression. Results: The overall ICC showed acceptable agreement among the system and the two radiologists (r = 0.895 for the abnormal lung volume fraction, 0.706 for the fibrosis fraction, 0.895 for NL, 0.625 for GGO, 0.626 for RO, 0.893 for HC, 0.800 for EMPH, and 0.430 for CONS). The volumes of NL, GGO, RO, and EMPH contribute to forced expiratory volume during one second (FEV1) (r = 0.72, ß values, 0.84, 0.34, 0.34 and 0.24, respectively) and forced vital capacity (FVC) (r = 0.76, ß values, 0.82, 0.28, 0.21 and 0.34, respectively). For diffusing capacity (DLco), the volumes of NL and HC were independent contributors in opposite directions (r = 0.65, ß values, 0.64, -0.21, respectively). The automated system can help discriminate between UIP and NSIP with an accuracy of 82%. Conclusion: The automated quantification system of regional HRCT patterns can be useful in the assessment of disease severity and may provide reliable agreement with the radiologists’ results. In addition, this system may be useful in differentiating between UIP and NSIP. Objective: To evaluate the usefulness of an automated system for quantification and discrimination of usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP). Materials and Methods: An automated system to quantify six regional high-resolution CT (HRCT) patterns: normal, NL; ground-glass opacity, GGO; reticular opacity, RO; honeycombing, HC; emphysema, EMPH; and consolidation, CONS, was developed using texture and shape features. Fifty-four patients with pathologically proven UIP (n = 26) and pathologically proven NSIP (n = 28) were included as part of this study. Inter-observer agreement in measuring the extent of each HRCT pattern between the system and two thoracic radiologists were assessed in 26 randomly selected subsets using an interclass correlation coefficient (ICC). A linear regression analysis was used to assess the contribution of each disease pattern to the pulmonary function test parameters. The discriminating capacity of the system between UIP and NSIP was evaluated using a binomial logistic regression. Results: The overall ICC showed acceptable agreement among the system and the two radiologists (r = 0.895 for the abnormal lung volume fraction, 0.706 for the fibrosis fraction, 0.895 for NL, 0.625 for GGO, 0.626 for RO, 0.893 for HC, 0.800 for EMPH, and 0.430 for CONS). The volumes of NL, GGO, RO, and EMPH contribute to forced expiratory volume during one second (FEV1) (r = 0.72, ß values, 0.84, 0.34, 0.34 and 0.24, respectively) and forced vital capacity (FVC) (r = 0.76, ß values, 0.82, 0.28, 0.21 and 0.34, respectively). For diffusing capacity (DLco), the volumes of NL and HC were independent contributors in opposite directions (r = 0.65, ß values, 0.64, -0.21, respectively). The automated system can help discriminate between UIP and NSIP with an accuracy of 82%. Conclusion: The automated quantification system of regional HRCT patterns can be useful in the assessment of disease severity and may provide reliable agreement with the radiologists’ results. In addition, this system may be useful in differentiating between UIP and NSIP.

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