• 한국과학교육학회지
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• 제37권6호
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• pp.951-960
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• 2017

이 연구는 저경력 과학교사 전문성 신장을 위한 멘토링이 과학교사의 일반교수효능감과 과학교수효능감에 미치는 영향을 알아보기 위한 것이다. 저경력 과학교사 멘토링은 J도에서 현직 임용 경력 3년 이하의 과학교사 24명을 대상으로 2016년 4월부터 2016년 12월까지 9개월에 걸쳐 진행되었다. 일반교수효능감과 과학교수효능감 검사는 선행 연구들에서 개발한 검사지를 수정 보완하여 활용하였다. 과학교수효능감 사전 검사 결과 평균은 3.02점으로 나타났다. 특히 과학교수 자기 효능감은 평균 2.86점이었고, 과학교수 결과 기대감은 평균 3.17점으로 나타나 결과 기대감이 더 높았다. 과학교수 결과 기대감 영역에서 여교사 평균이 남교사 평균 보다 높게 나타났고, 중학교 교사평균이 고등학교 교사 평균보다 모든 영역에서 높게 나타났으나 유의미한 차이는 보이지 않았다. 사후 검사 결과 멘티 교사들의 과학교수효능감은 평균 3.08점으로 사전 검사보다 증가하였다. 특히 사후 검사에서 과학교수 개인 효능감은 평균 3.11점, 결과 기대감은 평균 3.04점으로 나타났는데, 이는 멘토링 연수가 멘티 교사들의 과학교수효능감 향상에 긍정적 영향을 미쳤을 가능성을 보여주고 있는 것이다.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.83-92
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• 2020

A recent study to determine the fall is focused on analyzing fall motions using a recurrent neural network (RNN), and uses a deep learning approach to get good results for detecting human poses in 2D from a mono color image. In this paper, we investigated the improved detection method to estimate the position of the head and shoulder key points and the acceleration of position change using the skeletal key points information extracted using PoseNet from the image obtained from the 2D RGB low-cost camera, and to increase the accuracy of the fall judgment. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion analysis method and on the velocity of human body skeleton key points change as well as the ratio change of body bounding box's width and height. The public data set was used to extract human skeletal features and to train deep learning, GRU, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than the conventional primitive skeletal data use method.

• 한국통신학회논문지
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• 제19권10호
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• pp.1910-1924
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• 1994

평면으로 이루어진 물체에 비하여 3차원 곡면물체는 물체의 표현에 많은 양의 데이터를 요구하면 일반적으로 물체의 특성을 명확하게 정의하기가 어려워 인식이 어렵다. 본 논문은 3차원화상을 이용하여 인식하고자 하는 물체에 대한 실용적인 표현법을 개발하고 물체를 보는 방향에 무관하게 인식할 수 있는 알고리즘을 고안하여 여러 가지의 다른 곡면물체를 자동으로 인식할 수 있는 방법을 제시한다. 본 논문에서는 수행하고자 하는 작업을 고려하여 설정된 몇 개의 가상점과 물체 표면점들의 상대적인 기하학적 성질을 이용하여 물체를 인식한다. 몇 개의 가상점으로 표현된 물체를 일반화된 Hough변환으로 인식하는 본 알고리즘은 적절한 가상점의 설정으로 다음에 계속되는 작업을 줄일 수가 있으며 일반적인 3차원곡면물체를 비교적 노이즈에 큰 영향없이 인식하게 한다.

• 한국산업정보학회논문지
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• 제25권2호
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• pp.49-56
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• 2020

다중 엑세스 포인트에서 적용을 위한 전송전력 알고리즘을 연구한다. 개별 단말은 여러 개의 엑세스 포인트 중에서 하나의 엑세스 포인트에 신호를 전송한다. 각각의 엑세스 포인트는 수신이 예정된 단말로 부터 신호를 수신하기도 하지만, 인접한 단말들로 부터 간섭도 수신한다. 본 논문에서는 각각의 단말에 요구되는 신호대 간섭비를 만족하면서 모든 단말들의 총 전송전력이 최소화되도록 전송전력 알고리즘을 제안한다. 특히, 엑세스 포인트 개수의 증가가 단말들이 소모하는 총 전송전력에 미치는 영향을 살펴본다. 이를 기반으로, 단말들의 총 전송전력을 최소화하는 반복적 알고리즘을 제안한다. 제안하는 알고리즘은 목표 신호대 간섭비에 항상 수렴함을 이론적 기법을 통해 증명한다. 또한, 본 논문에서 제안하는 알고리즘은 단말들이 소모하는 전송전력을 최적화함을 증명하도록 한다. 실험결과를 통해 다음과 같은 두 가지 사항, 1) 제안하는 전송전력 최적화 알고리즘은 엑세스 포인트 개수와 관계없이 목표로 하는 신호대 간섭비에 수렴하며, 이때 개별 단말들은 최적의 전송전력을 소모한다. 2) 통신시스템에 엑세스 포인트의 개수가 증가할수록 단말들이 소모하는 전송전력은 감소함을 확인하였다.

• Korean Journal of Acupuncture
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• 제35권4호
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• pp.210-225
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• 2018

Objective : This research is aimed to compare the three sets of Dongin(K-1, K-2, K-3) to Chosun and Chinese acupuncture bronze men, and through literature review of acupuncture points and meridians to see how acupuncture of Chosun affected the Japan's acupuncture bronze men. Methods : Using 3D scanning, we compared the location of acupoints by the proportional bone measurement method of the three sets of Dongin to those of Chosun and China. We also compared the meridians and acupuncture points of the three sets of Dongin to Doningyosodo. Results : Dongin K-1 and K-2 have all the unique characteristics of ChimGuemDongIn. Their heads were made about 30% larger than the location of points by the proportional bone measurement method and their necks were shortened to get the right proportion. Their gender was not specified. Their hands were sticking forward, and knees were slightly bent, and the arms and legs were carefully crafted to record acupuncture points. Dongin K-1 and K-2 marked the meridians and acupuncture points according to Doningyosodo. In particular, BL39 in Dongin K-1 and K-2 has been marked as in ChimGeumDongIn, which is considered to have come from DongUiBoGam. These characteristics do not exist in Chinese acupuncture bronze men. The location of points by the proportional bone measurement method was marked on the right side of the Dongin K-3, while the eight extra meridians were marked on the left side. Conclusions : In summary, Dongin K-1 and K-2 indicate the Japanese history of acupuncture which may have influenced from Chosun.

• 환경영향평가
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• 제17권4호
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• pp.255-262
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• 2008

For the Han-river estuary and DMZ where white-naped crane (Grus vipio; endangered migratory bird) stopover or spend winter, the habitat composition and the habitat use pattern of white-naped crane were analyzed with the position data obtained by the satellite tracking method. By the use of geographic information system (GIS), the percent composition of seven habitat categories of white naped-crane data points (n=228) was analyzed. The chi-square test showed that the white-naped crane habitat use pattern was significantly different (p<0.05) from that of random points (n=228). It means that white-naped crane select and use particular habitat area in the Han-river estuary and DMZ.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.91-94
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• 2005

A numerical formula that presents relationship between a point of a satellite image and its ground position is called a sensor model. For precise geolocation of satellite images, we need an error-free sensor model. However, the sensor model based on GOES ephemeris data has some error, in particular after Image Motion Compensation (IMC) mechanism has been turned off. To solve this problem, we investigate three sensor models: Collinearity model, Direct Linear Transform (DLT) model and Orbit-based model. We apply matching between GOES images and global coastline database and use successful results as control points. With control points we improve the initial image geolocation accuracy using the three models. We compare results from three sensor models that are applied to GOES-9 images. As a result, a suitable sensor model for precise geolocation of GOES-9 images is proposed.

• 한국멀티미디어학회논문지
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• 제20권3호
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• pp.456-464
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• 2017

The epigraphy is a text on metal or a text on stone. The value of epigraphy can be used to identify historical facts of the past. It is a good record to understand the past life and culture. But it is difficult to decode the character of the epigraphy which has been exposed to the outdoor for a long time. In this study, the proposed techniques are consisted of 3 parts: (1)The surface division into information area, non- information area, and undifferentiated area. And then, (2) The selection of points in the non-information area and finding a reference plane with the minimum error. (3) Flattening the points perpendicular to the reference plane and decoding characters on information area. This research contributes to narrow the scope of a particular letter and to read the controversial letters on the Pohang Jungsoengri Silla Stone Monument(Korea's national treasure number 318).

• 소음진동
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• 제11권2호
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• pp.329-335
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• 2001

The analytical model of the ground wave can be used for the prediction of the noise level from a source above a plain and homogeneous ground surface with no obstacles nearby. Sound propagation along the surface of the ground can be affected by the roughness of the ground surface and the direction of the wind. The effects of the ground surface and the wind can be formulated in terms of the ground coefficient and the noise source parameter. Upward and downward conditions can also be addressed by considering the direction of the wind. The ground coefficient and the noise source parameter are estimated using the measured noise levels of two points under particular environmental condition, and the noise levels of arbitrary points under the same environmental condition can be estimated. The proposed method can be utilized to estimate the noise level of specific noise environment and its validity was confirmed with the results of actual field measurement.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제4권1호
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• pp.49-65
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• 2000

A method for inverting the Laplace transform is presented, using a finite series of the classical Legendre polynomials. The method recovers a real-valued function f(t) in a finite interval of the positive real axis when f(t) belongs to a certain class ${\mathcal{W}}_{\beta}$ and requires the knowledge of its Laplace transform F(s) only at a finite number of discrete points on the real axis s > 0. The choice of these points will be carefully considered so as to improve the approximation error as well as to minimize the number of steps needed in the evaluations. The method is tested on few examples, with particular emphasis on the estimation of the error bounds involved.