• 한국환경복원기술학회지
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• 제13권4호
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• pp.1-9
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• 2010

In response to climate change under a university level, this study has intended to find carbon-neutral campus development measures for Chungbuk National University (CBNU), which is composed of such facilities as education, research, and residential buildings. To reach this goal, we reviewed related literatures to find development measures for carbon neutral campus, employed a survey method asking students to show their preference and suitability toward provided measures, and statistical analyses to find appropriate measures using factor analysis. We have found the following results. First, based on literature review, we have identified several concepts regarding carbon-neutral city and has found the elements of carbon-neutral campus development. Second, we have drawn carbon-neutral campus development measures of CBNU through factor analysis. Finally, based on the characteristics and the present carbon-neutral campus conditions of the CBNU, we presented development measures.

• 로봇학회논문지
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• 제12권3호
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• pp.313-321
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• 2017

One of the most frequently performed tasks in human-robot interaction (HRI), intelligent vehicles, and security systems is face related applications such as face recognition, facial expression recognition, driver state monitoring, and gaze estimation. In these applications, accurate head pose estimation is an important issue. However, conventional methods have been lacking in accuracy, robustness or processing speed in practical use. In this paper, we propose a novel method for estimating head pose with a monocular camera. The proposed algorithm is based on a deep neural network for multi-task learning using a small grayscale image. This network jointly detects multi-view faces and estimates head pose in hard environmental conditions such as illumination change and large pose change. The proposed framework quantitatively and qualitatively outperforms the state-of-the-art method with an average head pose mean error of less than $4.5^{\circ}$ in real-time.

• Spatial Information Research
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• 제10권3호
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• pp.439-453
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• 2002

수자원분야에서 DEM을 활용한 연구들이 활발히 진행되고 있으며, 특히 지형 및 수문분석의 기초가 되는 유역과 하천 추출은 GIS 분석에서 일반화되어 있다. 그러나 경사가 완만한 지형에서는 가늘고 긴 슬리버 폴리곤 형태의 유역이나 직선형태의 하천이 추출되므로, 활용측면에서 비 효율적이다 본 연구에서는 완경사지역에서 발생하는 비정상적인 유역과 하천을 효과적으로 추출하기 위해, 하천을 중심으로 완충구간을 설정한 후 점진적인 표고변화를 적용하였다. 특히 점진적인 표고변화를 부여하기 위해 보로노이 다이어그램(Voronoi Diagram)을 활용한 등거리 할당모형을 적용하였다. 또한 추출한 하천인식 DEM과 원시 DEM을 이용하여 유역 및 하천을 추출한 후, 완경사 지역에서의 유역 및 하천의 형태를 상호 비교함으로서 본 연구의 효용성을 평가하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.131-139
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• 2016

Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all human motion recognitions. Various approaches have been tried to detect and trace the position of human head in two-dimensional (2D) images precisely. However, it is still a challenging problem because the human appearance is too changeable by pose, and images are affected by illumination change. To enhance the performance of head detection and tracking, the real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor are recently used. In this paper, we propose an effective feature extraction method, called adaptive local binary pattern (ALBP), for depth image based applications. Contrasting to well-known conventional local binary pattern (LBP), the proposed ALBP cannot only extract shape information without texture in depth images, but also is invariant distance change in range images. We apply the proposed ALBP for head detection and tracking in depth images to show its effectiveness and its usefulness.

• BMB Reports
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• 제29권2호
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• pp.99-104
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• 1996

Site-directed substitutions were made to change the Ile91 of restriction endonuclease EcoRV to either Val, Ala or Gly to identify the role of Ile91 in recognition and catalysis, since substitution of Ile91 with Leu afforded dramatic effects on the activity and properties of restriction endonuclease EcoRV. These changes alter the size of the hydrophobic side chain at position 91 and thus might have revealed the reason for the altered phenotype of Ile91Leu. However, the properties of Ile91Val and Ile91Ala mutants were much like wild type EcoRV, in both activity and metal ion preference. Ile91Gly had very little activity with either $Mg^{2+}$ or $Mn^{2+}$ as cofactors. To try to understand the unusual $Mn^{2+}$ profile of the Ile91Leu mutant, two double mutants, Ile91Leu;Asp90Asn and Ile91Leu;Glu45Met were created. Both double mutants were seriously disabled by the second amino acid change. Ile91Leu;Glu45Met had some residual activity in the $Mn^{2+}$ reaction buffer, whereas the Ile91Leu;Asp90Asn displayed no detectable activity.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 춘계학술대회 논문집 전자세라믹스 센서 및 박막재료 반도체재료 일렉트렛트 및 응용기술
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• pp.176-179
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• 2000

In the recognition of the gases using the quartz crystal microbalance (QCM) coated with the film materials, it is important to obtain the recognition ability of gases, and the stability of film coated above the QCM. Especially, the thickness of film coated above the QCM is decreased according with the using circumstance and time of QCM gas sensor. Therefore, the sensing chararcteristics of film is changed with these. In this paper, we coated the lipid PC (Phosphatidyl Choline) materials varing with the blended amount of PVC(Poly Vinyl Chloride) and solution (Tetra Hydrofan:THF) above QCM to obtain the stability of lipid PC film. QCM gas sensors coated with film materials were measured the frequency change in the chamber of stationary gas sensing system injected 1-hexane, ethyl acetate, ethanol and benzene of $20{\mu}{\ell}$, respectively. We obtained the principal component analysis (PCA) from the frequency change due to the absorption of gas. Also, we measured the degradation characteristics of QCM gas sensor to show the properties of stability.

• 한국컴퓨터산업학회논문지
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• 제3권12호
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• pp.1765-1774
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• 2002

얼굴 인식은 현재 많은 연구가 활발히 진행되고 있는 분야이다. 하지만, 이에 따른 많은 문제점들이 선결되어야 하는 실정이다. 우선, 영상 취득과정에서 생기는 다양한 조명 변화와 카메라의 위치 변화를 고려하여 대상 얼굴을 인식해야 한다. 본 논문에서는 PC 카메라 및 주민등록증에 있는 사진을 스캔하여 얼굴 특징점을 정확하고 빠른 계산 시간 안에 찾을 수 있는 새로운 방법을 제시한다. RGB 색공간을 YUV로 변환하여 Y성분을 히스토그램 균등화 시켜 휘도에 관계없이 얼굴 피부색을 추출한 후 YUV의 V성분을 변형한 V' 성분을 이용하여 얼굴의 특징점을 찾는 방법이다. 실험결과 주민등록증 사진과 PC카메라에서 입력받은 얼굴 영상이 오류 없이 추출됨이 관찰되었다.

• 정보교육학회논문지
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• 제8권4호
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• pp.481-488
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• 2004

현재 정보통신기술교육(ICT)은 재량 수업으로 진행되고 있다. 이러한 ICT교육은 소양 교육으로 전환하기 위한 연구가 절실하다. 본 연구는 재량교과 내에서 이루어지고 있는 정보통신기술교육이 정상적으로 운영되기 위해 정보통신교육이 교과전담제로 운영되는 것에 대한 초등교사의 인식에 관한 연구이다. 설문의 결과에 따라 대부분의 교사가 정보통신교육을 교과전담제로의 운영하기를 요청하고 있는 것으로 분석되었다. 이러한 연구 결과를 통하여 재량교과 중 정보통신기술교육이 내실 있고 효율적인 운영이 될 수 있는 기초 자료를 제공하였다.

• 전자공학회논문지T
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• 제36T권4호
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• pp.9-16
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• 1999

본 논문에서는 복사 전자기장 내성 시험 시스템 내에서 컴퓨터 비젼을 이용한 EUT(Equipment Under Test) 오동작 판정 자동화를 위한 영상인식 알고리즘을 제안한다. 전자계측장비와 의료기기 등의 계수표시창의 수치변화나, PC 모니터 장비에서의 영상변화를 통해서 복사 전자기장 내에서의 EUT 오동작을 모니터링 및 분석한다. 즉, 비디오 카메라의 모니터상에 나타난 계수표시창의 수치를 인식하거나 기준영상과 챔버 내에 전자기장에서의 대상영상과를 비교함으로써 오동작 여부를 판정한다. 제안된 영상인식 알고리즘을 사용함으로써 EUT 오동작 판정 여부의 근거를 제시할 수 있으며, 내성검사에서의 오동작 판정의 번거로움을 방지할 수 있다.

• 한국환경교육학회지:환경교육
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• 제12권1호
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• pp.378-390
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• 1999

The purpose of this study is to investigate what are objects in environmental education and to develop the teaching model for environmental education. The major objects of environmental education is how to teach students who not only take knowledge/skill, but also change their behavior with responsibility for environment. In order to change students' behaviors for environment, Hungerford recommended that teachers have teaching strategies with recognition, evaluation, and adaptation. Also, McCarthy developed teaching model to engage immediate personal meaning, to raise intellectual awareness of a concept, to enhance skills that students can use in their lives, and to foster personal adaptations. Based on the Hungerford's teaching strategies, and Mccarthy's 4MAT system, a teaching model is developed to encourage thinking skill, problem-solving ability, interesting, and participation in the class. The basic steps of the teaching model in this study are experience/recognition, knowledge/skill, evaluation, and adaptation/new experience and 8 sub-steps for instructional methodologies are developed to match of all students' learning style types in a classroom. This model will make it possible to raise the efficiency of instruction, and contribute to changing students who have responsibilities for their environmental behaviors. This model will be supplemented in schools, and applied to developing other instructional issues.