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      • KCI등재

        유한확산집합체의 파라메트릭 시뮬레이션을 통한 공간 설치물

        성우제 ( Sung¸ Woojae ) 한국공간디자인학회 2021 한국공간디자인학회논문집 Vol.16 No.7

        (연구배경 및 목적) 인간은 자연을 통해 삶의 지혜를 익혀왔고 문제해결을 위한 실마리를 찾아왔다. 과학은 자연과의 상생을 위해 자연을 더욱 잘 이해하기 위한 방도였으며, 이러한 자연의 이해는 과학과 공학 분야에서 눈부신 성과를 거두어 왔다. 한편 건축가와 예술가는 공학적인 이해와 기술적인 지식의 습득보다는 자연이 주는 아름다움과 경이로움에 대해 더욱 매료되어 왔다. 삶의 가치와 질적 향상에 비중을 두어왔던 건축가와 예술가들에게, 자연은 새로운 형태와 공간을 만들기 위한 창의성의 보고가 되어 왔다. 자연을 이해하고 공략하기 위한 첨단 과학과 기술은 건축가 및 예술가에게 피부에 와닿는 간절함은 아니었다. 하지만 통섭과 융합의 거센 물결 속에서 건축가와 예술가들도 과학 및 기술 발전의 대열에 합류하려는 경향이 짙어지고 있다. 더불어, 사용자 친화적인 컴퓨터 환경의 개발로 인하여 최신 과학 기술에 대한 진입장벽이 매우 낮아졌다. 최근 젊은 건축가와 예술가들을 중심으로 자연현상을 단순한 모사에 그치지 않고 심도 있는 이해를 통하여 자신들의 분야에 적용하는 사례가 많아지고 있다. 이에 동시대의 건축가로서 특정한 자연현상에 대한 진지한 학습과 이해를 바탕으로 이를 구축물의 설계와 생산의 과정에 접목할 수 있는 방법론에 관하여 기술하고 이를 파일럿 프로젝트를 통하여 제안하고자 한다. (연구방법) 최근의 사례들을 살펴본바 자연현상의 이해 및 고찰이 설치미술 혹은 건축에 적용되는 방식은 크게 세 가지 단계를 거치게 된다. 1) 자연현상의 깊이 있는 이해, 2) 컴퓨터를 활용한 디지털 모형으로의 전환, 3) 작업에의 응용 및 적용. 이러한 과정을 염두에 두고 유한확산집합체 라는 자연현상에 대해 알아보고, 이를 파라메트릭 설계 도구를 활용하여 디지털 모형으로 전환한다. 이후 설치 작업의 대상지를 선정하고 디지털 모형을 현장에 알맞게 변형 후 설계과정에 도입 함으로써 자연현상을 활용한 설치 작품의 제안 과정을 기술하고자 한다. (결과) 번개, 눈 결정, 박테리아의 군집체 등에서 찾아볼 수 있는 유한확산집합체를 파라메트릭 설계 도구를 통하여 디지털 모형으로 전환하였고, 이를 실제의 공간에 맞도록 수정 후 적용함으로써 공기중에 부유하는 눈에 보이지 않는 입자들의 집적을 표상화하는 구조물을 제안할 수 있었다. (결론) 상기와 같이 본 논문에서는 자연현상의 피상적인 이해 및 모사의 단계를 넘어서 원리에 대한 깊은 이해를 바탕으로 디지털 모형을 생성하였다. 이를 실질적인 구축의 작업에 적용하기 위해, 대지를 선정하고 대지에 적합한 방식으로 디지털 모형을 가공하여 공간 설치 작품을 제안 하였다. 본 과정을 통하여 자연 현상에 대한 깊은 이해는 기존의 방식에서는 생각하기 힘든 새로운 계획과 구축의 방법을 제공할 수 있다는 점을 살펴보았다. (Background and Purpose) Humans have learned the wisdom of life through nature, which offers clues for solving man-made problems. In this regard, science and technology have introduced remarkable achievements. Meanwhile, architects and artists have been fascinated by the beauty and wonder of nature, which builds on their engineering understanding and technical knowledge. For architects and artists who have focused on improving the value and quality of human life, nature has been a constant source of creativity. Cutting-edge science and technology to understand and utilize nature was not an earnest desire for architects and artists. However, architects and artists are increasingly inclined to apply scientific and technological approaches amid the strong wave of consilience and convergence. In addition, owing to a user-friendly computing environment and accessible software, the barriers to cutting-edge technology have become very low, leading young architects and artists to adapt natural algorithms for their work. Therefore, as one of the architects and designers of the era, I would like to describe a methodology of design and production for art installations or buildings, with a thorough understanding of specific natural phenomena. (Method) Recent precedents clearly show that natural phenomena have been researched and adapted to various art installations or architectural projects in three major steps: 1) In-depth understanding of natural phenomena; 2) Translation into digital models using parametric design tools; and 3) Application to a physical model. One of the well-known natural phenomena, a diffusion limited aggregation system, is examined in this study, and it is converted into a digital model using a parametric design tool and Visual Basic. The digital model is reconfigured to fit into a specific site’s context. As such, this study proposes a conceptual framework and practical workflow of any nature-inspired art installation project. (Results) The diffusion limited aggregation was researched and the algorithm was broken down into chunks of code blocks in Visual Basic before being converted into a digital model through a parametric design tool. Next, it was modified and updated to fit the actual site’s context. The process proposed herein is a good example of visualizing nature’s algorithm by materializing invisible particles floating in the air. (Conclusions) As described above, in this study, a digital model was created based on a deep understanding of nature’s algorithm rather than a superficial understanding or by attempting to mimic natural phenomena. To materialize or visualize this, an installation was proposed on a site by reconfiguring the digital model in light of its specific context. This process showed that a deep understanding of natural phenomena can provide a new method of designing, planning, and constructing workflow, which is difficult to create using the existing processes.

      • SCISCIESCOPUS

        Integrated All Electrical Pulse Wave Velocity and Respiration Sensors Using Bio-Impedance

        Woojae Lee,SeongHwan Cho IEEE 2015 IEEE journal of solid-state circuits Vol.50 No.3

        <P>In this paper, we propose wire-free integrated sensors that monitor pulse wave velocity (PWV) and respiration, both non-electrical vital signs, by using an all-electrical method. The key techniques that we employ to obtain all-electrical and wire-free measurement are bio-impedance (BI) and analog-modulated body-channel communication (BCC), respectively. For PWV, time difference between ECG signal from the heart and BI signal from the wrist is measured. To remove wires and avoid sampling rate mismatch between ECG and BI sensors, ECG signal is sent to the BI sensor via analog BCC without any sampling. For respiration measurement, BI sensor is located at the abdomen to detect volume change during inhalation and exhalation. A prototype chip fabricated in 0.11 μm CMOS process consists of ECG, BI sensor and BCC transceiver. Measurement results show that heart rate and PWV are both within their normal physiological range. The chip consumes 1.28 mW at 1.2 V supply while occupying 5 mm×2.5 mm of area.</P>

      • KCI등재
      • KCI등재

        Development of Novel Breast Cancer Recurrence Prediction Model Using Support Vector Machine

        Woojae Kim,김구상,이정언,노동영,김성원,정용식,박만영,박래웅 한국유방암학회 2012 Journal of breast cancer Vol.15 No.2

        Purpose: The prediction of breast cancer recurrence is a crucial factor for successful treatment and follow-up planning. The principal objective of this study was to construct a novel prognostic model based on support vector machine (SVM) for the prediction of breast cancer recurrence within 5 years after breast cancer surgery in the Korean population, and to compare the predictive performance of the model with the previously established models. Methods: Data on 679 patients, who underwent breast cancer surgery between 1994 and 2002, were collected retrospectively from a Korean tertiary teaching hospital. The following variables were selected as independent variables for the prognostic model, by using the established medical knowledge and univariate analysis: histological grade, tumor size, number of metastatic lymph node, estrogen receptor, lymphovascular invasion, local invasion of tumor, and number of tumors. Three prediction algorithms, with each using SVM, artificial neural network and Cox-proportional hazard regression model, were constructed and compared with one another. The resultant and most effective model based on SVM was compared with previously established prognostic models, which included Adjuvant! Online, Nottingham prognostic index (NPI), and St. Gallen guidelines. Results: The SVM-based prediction model, named ‘breast cancer recurrence prediction based on SVM (BCRSVM),’ proposed herein outperformed other prognostic models (area under the curve=0.85, 0.71, 0.70, respectively for the BCRSVM, Adjuvant! Online, and NPI). The BCRSVM evidenced substantially high sensitivity (0.89), specificity (0.73), positive predictive values (0.75), and negative predictive values (0.89). Conclusion: As the selected prognostic factors can be easily obtained in clinical practice, the proposed model might prove useful in the prediction of breast cancer recurrence. The prediction model is freely available in the website (http://ami.ajou.ac.kr/bcr/).

      • KCI등재

        Analysis of Changes in Awareness and Attitude Toward Hearing-Impaired Students by Experiencing Handicap in College Students

        Woojae Han,Minki Hong,Taeoh Kim,Sihun Park 한국청각언어재활학회 2020 Audiology and Speech Research Vol.16 No.2

        Purpose: The purpose of this study was to compare change in the perception of hearing impairment before and after the handicap experience and to qualitatively analyze accepting attitude and change toward the impairment in college students. Methods: Twenty college students were asked to wear personalized earplugs on their ears to experience the handicap of hearing loss for five days. They reported 12-items questionnaire before and after the experience and had also 1:1 individual interview using a structured format with open questions. Results: Although the negative attitude toward the hearing impairment (78.30%) was high enough before the handicap experience, the positive attitude (78.02%) was prominent after the experience. Further, the participants had expressed negative feeling such as guilt and avoidance toward the hearing impairment before the experience, while showing discrepancies between their cognition and behaviors. However, their perception and attitude were changed with positive recognition after the experience. Conclusion: Although it was a short period of the experience, the present results confirmed that the non-disabled students had an internal understanding and distracted negative attitudes toward the hearing impairment. The systematic and detailed handicap experiences might be expected to maintain a positive attitude toward the students with disabilities for a while.

      • KCI등재

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