• 한국운동역학회지
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• 제16권1호
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• pp.139-149
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• 2006

This study is to analyze the kinematic variables of inward $1{\frac{1}{2}}$ somersault in platform diver. For the manner, 3 people form the national diving team in the year 2000were chosen as the subjects and two S-VHS video cameras set in 60frames/sec were used for recording their motions. Coordinated raw positions data through digitizing are smoothing by butter-worth's low-pass filterin method at a cut off frequency 6.0Hz. and the direct linear transformation(DLT) method was employed to obtain 3-D position coordinates. The conclusions were as follows. However, horizontal distance which is the change of the COG, form the point of the jump to the point of Event 3 where the player is out of the board range completely, Subject B showed 105.1cm and 71.1cm of the vertical distance which are shorter horizontal distance and higher vertical distance, thus, took a great advantage of the position to prepare for the entry. Therefore, if a player takes higher position by speeding up the vertical velocity at the moment of the jumping off the board, and stays in the air longer, the player can have more time to show his skill. Because of the use of the characteristics of the inward somersault, keeping the safe distance form the board is important but in order to higher the completeness, it is ideal to keep the horizontal distance little over 100cm. Also, the angles of shoulder and elbow from Event 1 to 4, depending on swing of the arms, motions in the air, getting ready for the entry, showed some difference individual by individual, according to the velocity of the thigh and shank showed much difference while getting ready and take-off, and it's because of the individual's different bending and straightening for horizontal and vertical distance.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.213-219
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• 2022

Building Ukraine as an independent, sovereign state requires the education of a citizen-patriot, able to live and work in a democracy, ensure the unity of Ukraine, feel constant responsibility for themselves, their people, country, seek to make a real contribution to the reform process. Modern modernization of the education system requires the search for new information and communication technologies that can ensure the formation of a citizen with an active civic position, which involves not only students mastering the rights and responsibilities of citizens, convincing them of the feasibility of democratic transformation of society, patriotic qualities and feelings, but also the identification of motivated civic actions. The pandemic and hostilities have led to significant changes in the field of education around the world, they have caused educational problems in Ukraine. At the beginning of the quarantine in the spring of 2020, all educational institutions in the emergency mode switched to distance learning. Intensive use of information and communication technologies in the life of modern society has led to a rethinking of the content of education and training of future professionals: the main role is played not so much by the information itself as the ability to work with it, critically comprehend and produce new knowledge; the main thing is not the amount of information, but its quality; information is needed for further practical application and transformation into knowledge, and the ability to work with information becomes one of the important competencies of the modern specialist in the new transformation of society: from information to the knowledge society. In this context, one of the main forms of training is distance learning, which is able to respond to the challenges of society. The main methodological positions that are taken into account in the construction of the structure and dynamics of the formation of civic responsibility of the individual during the use of information and communication technologies are highlighted. The structure of civil responsibility as a holistic system of information and communication technologies is outlined, which includes three subsystems that characterize the natural, social and systemic qualities of citizenship, interconnected hierarchically and synergistically.The constituent elements of the structural part of the model of civic culture of the individual are analyzed.

• 전기전자학회논문지
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• 제26권2호
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• pp.160-168
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• 2022

본 논문에서는 딥러닝과 구체의 형태 변형 방법을 이용한 단일 이미지에서의 3D mesh 재구축 기법을 제안한다. 제안한 기법은 기존의 방식과 다른 다음과 같은 독창성이 있다. 첫 번째, 기존의 근처의 가까운 점들을 연결하여 모서리 또는 면을 구축하는 방식과 다르게 딥러닝 네트워크을 통하여 구체의 꼭짓점의 위치를 사물의 3D 포인트 클라우드와 매우 유사하게 수정한다. 3D 포인트 클라우드를 이용하므로 메모리가 적게 필요하며 구체의 꼭짓점에 오프셋 값 사이에 덧셈 연산만을 수행하기 때문에 더 빠른 연산이 가능하다. 두 번째, 수정한 꼭짓점에 구체의 면 정보를 씌워 3D mesh를 재구축한다. 구체의 꼭짓점의 위치를 수정하여 생성한 3D 포인트 클라우드의 점들의 간격이 일정하지 않을 때에도 이미 점들 사이의 연결 여부를 나타내는 구체의 면 정보라는 3D mesh의 면 정보를 가지고 있어 표현의 단순화나 결손을 방지할 수 있다. 제안하는 기법의 객관적인 신뢰성을 평가하기 위해 공개된 표준 데이터셋인 ShapeNet 데이터셋을 이용하여 비교 논문들과 같은 방법으로 실험한 결과, 본 논문에서 제안하는 기법의 IoU 값이 0.581로, chamfer distance 값은 0.212로 산출되었다. IoU 값은 수치가 높을수록, chamfer distance 값은 수치가 낮을수록 우수한 결과를 나타내므로 다른 논문에서 발표한 기법들보다 3D mesh 재구축의 결과에서 성능의 효율성이 입증되었다.

• 한국측량학회지
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• 제29권3호
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• pp.249-255
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• 2011

고중복도 비디오카메라 영상을 이용하여 GPS/INS 및 지상기준점 자료 없이 제작되는 자유 입체 모자이크 영상은 기준 프레임 영상의 3차원 모델좌표계로 표현되는 상호표정요소를 이용하여 제작될 수 있다. 이와같이 제작된 자유 입체 모자이크 영상으로부터 결정되는 3차원 좌표는 3차원 모델좌표계로 나타내게 된다. 따라서 자유 입체 모자이크 영상을 이용하여 절대좌표를 결정하기 위해서는 모델좌표계를 절대좌표계로 변환하기 위한 방법이 필요하다. 일반적으로 서로 다른 두 개의 3차원 직각 좌표계간의 좌표변환은 3차원 상사변환(similarity transformation)이 사용된다. 하지만 자유 입체 모자이크 영상의 3차원 모델좌표는 원점으로부터 떨어질수록 오차가 누적되어 선형변환을 이용한 좌표변환을 수행하기 어렵다. 따라서 이러한 자유 입체 모자이크 영상의 모델좌표를 절대좌표로 변환하기 위한 3차원 비선형 변환 방법이 필요하다. 또한 절대좌표계로 표현된 수치지도와 입체 모자이크 영상을 중첩하여 사용하기 위해서는 자유 입체 모자이크 영상을 실좌표 입체 모자이크 영상으로 변환하기 위한 방법이 필요하다. 따라서 본 연구에서는 자유 입체 모자이크 영상의 3차원 모델좌표를 3차원 절대좌표로 변환하기 위한 3차원 비선형 변환 방법과 이 방법을 기반으로 자유 입체 모자이크 영상을 실좌표 입체 모자이크 영상으로 제작하기 위한 2차원 비선형 변환방법을 제안하였다.

• 한국컴퓨터정보학회논문지
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• 제29권1호
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• pp.41-49
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• 2024

현재 음성인식 기술은 꾸준히 발전하고 다양한 분야에서 널리 사용되고 있다. 본 연구에서는 음성 데이터 품질이 음성인식 모델에 미치는 영향을 알아보기 위해 데이터셋을 전체 데이터셋과 SNR 상위 70%의 데이터셋으로 나눈 후 Seamless M4T와 Google Cloud Speech-to-Text를 이용하여 각 모델의 텍스트 변환 결과를 확인하고 Levenshtein Distance를 사용하여 평가하였다. 실험 결과에서 Seamless M4T는 높은 SNR(신호 대 잡음비)을 가진 데이터를 사용한 모델에서 점수가 13.6으로 전체 데이터셋의 점수인 16.6보다 더 낮게 나왔다. 그러나 Google Cloud Speech-to-Text는 전체 데이터셋에서 8.3으로 높은 SNR을 가진 데이터보다 더 낮은 점수가 나왔다. 이는 새로운 음성인식 모델을 훈련할 때 SNR이 높은 데이터를 사용하는 것이 영향이 있다고 할 수 있으며, Levenshtein Distance 알고리즘이 음성인식 모델을 평가하기 위한 지표 중 하나로 쓰일 수 있음을 나타낸다.

• 조명전기설비학회논문지
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• 제26권2호
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• pp.51-60
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• 2012

An improved method for detecting fault distance in overhead transmission lines is described in this paper. Based on single-ended measurement, propagation theory of traveling waves together with the wavelet transform technique is used. In estimating fault location, a simple, but fundamental method using the time difference between the two consecutive peaks of transient signals is considered; however, a new method to enhance measurement sensitivity and its accuracy is sought. The algorithm is developed based on the lattice diagram for traveling waves. Representing both the ground mode and alpha mode of traveling waves, in a lattice diagram, several relationships to enhance recognition rate or estimation accuracy for fault location can be found. For various cases with fault types, fault locations, and fault inception angles, fault resistances are examined using the proposed algorithm on a typical transmission line configuration. As a result, it is shown that the proposed system can be used effectively to detect fault distance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.1007-1010
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• 2005

This paper presents a fingerprint image registration method. In the fingerprint system, the insufficiency of mutual information between a template and a query fingerprint is one of major factors to deteriorate recognition performance. To overcome this problem, we need to register multiple impressions and integrate their information. Our method matches the ridges from multiple impressions recursively and then registers the impressions to minimize the registration error calculated from the Distance map. Our method use regularized TPS model as the transformation model to compensate for the plastic deformation. We compare our method with 3 prior arts (ICP, Distance Map, Ross's method). Our registration error and its' variance is the smallest and also the average registration error is below 3 pixels.

• 전자공학회논문지B
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• 제33B권5호
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• pp.73-82
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• 1996

In this paper, an efficient algorithm for recognizing and positioning occuluded objects in a two-dimensional plane is presented. Model objects and unknown input image are approximated by polygonal boundaries, which are compactly represented by shape functions of the polygons. The input image is partitioned into measningful segments whose end points are at the locations of possible occlusion - i.e. at concave vertices. Each segment is matched against known model objects by calculating a matching measure, which is defined as the minimum euclidean distance between the shape functions. An O(mm(n+m) algorithm for computing the measure is presentd, where n and m are the number of veritces for a model and an unknown object, respectively. Match results from aprtial segments are combined based on mutual compatibility, then are verified using distance transformation and translation vector to produce the final recognition. The proposed algorithm is invariant under translation and rotation of objects, which has been shown by experimental results.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.945-946
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• 2008

Feature matching is often used for image alignment. It, however, isconsidered as motion estimation problem in case of video. In that case we need only a motion vector in an image. Then we can compute the distance between two images although the images are far away each other. So we propose affine transformation from camera motion for spatial positioning of frames and aligning those frames. The data from this method can be useful for calculating the distance, stabilizing video, photographing panorama and so on.

• 동력기계공학회지
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• 제20권3호
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• pp.64-73
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• 2016

In this research work, an algorithm development on tracking end-point of aerial work platform with jib profile and bend-linked boom was carried out to find the X, Y and Z direction value using coordinate transformation matrix. This matrix consists of device status value(length and angle) based on camera position axis, which are sent from device controller PLUS+1 by CAN protocol. These values are used to measure the distance and angle from the camera to the end-point. Using these distance and angle value, monitoring system controls FAN/TILT/ZOOM status of camera to get an adequate scene of workplace. This program was written in Java, C# and C for mobile device. These results provide the information to the aerial work device for secure operation.