• 전기의세계
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• v.36 no.5
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• pp.316-325
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• 1987

다각 보행 로보트의 세부 개발 분야로는 다음과 같이 세가지로 나눌 수 있다. (1) 기계적 구조 분야-3축 자유도를 갖는 다리의 구조, 에너지 효율을 고려한 다리의 구조, 역학 및 운동학의 분석, 모델화등 (2) 제어분야-다리의 시퀀스 결정, 각 다리의 서보 제어, 균형 및 안정도 유지, 속도제어 (3) 지능 및 센서 분야-장애물 인식, 경로의 판단, 장애물 통과시 다리의 위치 결정 본고에서는 제어분야와 관련하여 걸음새(gait)의 종류 및 표시방법에 대해서 2장에서 언급하고, 3장에서 1각 및 2각 제어 알고리즘을 통해 역학(dynamics)이 고려된 다리의 시퀀스 제어에 관해서 알아보며, 4각 이상의 다각 로보트에 대한 제어문제 및 제어기법에 대하여 4장에서 기술하였다.

• Broadcasting and Media Magazine
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• v.25 no.3
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• pp.29-37
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• 2020

우리는 대한민국 산업의 미래 먹거리와 관련된 수많은 기사들을 매일 접하며 살아가고 있다. 그중에서도 빠지지 않는 키워드 중 하나는 "자율주행"이다. 본 고에서는 자율주행 시대로 한걸음 더 나아가는데 기여하고 있는 방송기술과 cm급 정밀측위기술에 대해 소개하고자 한다. 서로 무관해 보이는 'Broadcasting'과 'Positioning'이 어떻게 서로 환상의 짝꿍이 될 수 있는지 설명하고, 정밀측위를 통해 발전해 나가고 있는 자율주행 기술을 여러 적용 사례를 통해 알아보고자 한다.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.9
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• pp.251-260
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• 2021

Gait analysis is one of the research fields for obtaining various information related to gait by analyzing human ambulation. It has been studied for a long time not only in the medical field but also in various academic areas such as mechanical engineering, electronic engineering, and computer engineering. Efforts have been made to determine whether there is a problem with gait through gait analysis. In this paper, as a pre-step to find out gait abnormalities, it is investigated whether it is possible to differentiate whether experiment participants wear elderly simulation suit or not by applying gait data to machine learning models for the same person. For a total of 45 participants, each gait data was collected before and after wearing the simulation suit, and a total of six machine learning models were used to learn the collected data. As a result of using an artificial neural network model to distinguish whether or not the participants wear the suit, it showed 99% accuracy. What this study suggests is that we explored the possibility of judging the presence or absence of abnormality in gait by using machine learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4346-4352
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• 2014

This study examined the differences in the improvement of walking ability between treadmill training with fast-tempo auditory stimulation (FTAS group) and the general treadmill training (control group) in hemiplegia. The subjects were allocated randomly into both groups. Eleven patients of the FTAS group and 11 patients of the control group underwent training for 30 minutes per day for 6 weeks. Before and after intervention, the walking ability was measured by the 10m gait-evaluation and the number of steps in 20m walking. The gait velocity was improved further in the FTAS group than the control group (p<.05). This study provides evidence of the efficacy of treadmill training with FTAS in improving the gait ability when compared to the general methods in patients with chronic hemiplegia.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.119-125
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• 2018

Various techniques for indoor positioning using a smart phone have been studied. Among them, the positioning technology using the acceleration sensor and the gyro sensor built in the smartphone is widely used in conjunction with the WiFi fingerprint technology. The location tracking technology using sensors has been used for a long time, but the performance environment of the smartphone is poor and the user is moving with the smartphone in a certain posture. Therefore, in order to improve the accuracy of location tracking in a smartphone environment, it is necessary to study and develop appropriate algorithms in a mobile environment. In this paper, we analyze the performances of frequency analysis method, maximum sum of minimum acceleration method and adaptive threshold method, which are the user's moving step count detection algorithms, and determine the most accurate method.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.11
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• pp.1035-1045
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• 2017

Classification of age and gender has been carried out through different approaches such as facial-based and audio-based classifications. One of the limitations of facial-based methods is the reduced recognition rate over large distances, while another is the prerequisite of the faces to be located in front of the camera. Similarly, in audio-based methods, the recognition rate is reduced in a noisy environment. In contrast, gait-based methods are only required that a target person is in the camera. In previous works, the view point of a camera is only available as a side view and gait data sets consist of a standard gait, which is different from an ordinary gait in a real environment. We propose a feature extraction method using skeleton models from an RGB-D sensor by considering characteristics of age and gender using ordinary gait. Experimental results show that the proposed method could efficiently classify age and gender within a target group of individuals in real-life environments.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1092-1101
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• 2003

Most of 3D character animation adjusts the gait of their characters for various terrains, using motion capture data through the motion capture equipments. This motion capture data can be naturally presented as real human motions, which are to be adjusted according to the various types of terrain. In addition, there would be a difficulty applying motion capture data for other characters in which the motion data will be captured again or edited for the existing motion data. Therefore, this paper proposes a method that is to generate walking motion for various terrains, such as flat, inclined plane, stair, and irregular face, and a method that is to calculate the trajectory of the swing leg and pelvis. These methods are able to generate various gaits controlled by the parameters of body height, walking speed, stride, etc. In addition, the positions and angles of joint can be calculated by using inverse kinematics, and the cubic spline will be used to calculate the trajectory of the joint.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.88-95
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• 2020

In this paper, we propose a new arm swing walking pattern-based walking safety system for safe walking of elderly pedestrians. The proposed system is a walking safety system for elderly pedestrians using haptic-based devices such as smart bands and smart watches, and arm swing-based walking patterns to solve the problem that it is difficult to recognize the fall situation of pedestrians with the existing walking patterns of lower limb movements. Use. The arm swing-based walking pattern recognizes the number of steps and the fall situation of pedestrians through the swing of the arm using the acceleration sensor of the device, and creates a database of the location of the fall situation to warn elderly pedestrians when walking near the expected fall location. It delivers a message to provide pedestrian safety to the elderly. This system is expected to improve the safe walking rights and environment of the elderly.

• Electronics and Telecommunications Trends
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• v.23 no.4
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• pp.102-114
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• 2008

차세대 컴퓨팅은 필요한 IT 자원에 대해 사람의 추가적 개입없이 원하는 만큼의 IT 인프라를 언제 어디서나 손쉽게 얻고 확장할 수 있는 소프트웨어 플랫폼을 추구하고 있으며 가상화 기술은 이러한 환경을 구축할 수 있는 핵심 기술로 자리 매김할 수 있다. 본 고에서는 가상화 기술의 발전 동향 및 차세대 컴퓨팅으로 가상화 기술의 적용 방안에 대해 알아보고, 현재 차세대 컴퓨팅의 발전에 한걸음하기 위한 가상화 솔루션으로 한국전자통신연구원에서 개발되고 있는 인프라 가상화 기술의 내용 및 발전 방향에 대해 기술한다. 가상화 기술은 글로벌화 되고 있는 산업 변화의 한가운데에서 인프라 자원의 복잡성을 해소하여 컴퓨팅 자체 보다 일의 본질에 더 노력할 수 있는 인간 중심의 생활에 기여하는 기술이라 할 수 있겠다.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.389-396
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• 2004

입문기 아동의 수학 교육에서의 첫 걸음은 수 개념 형성으로부터 시작되는데 취학 전에 발달 단계나 학습 순차를 무시한 형식적인 수지도가 수 개념을 형성하는데 별다른 도움을 주지 못하는 것으로 나타나 있다. 수학 교과가 가지고 있는 논리적 위계성을 감안할 때 이전 학년에서 발생된 학습 결손이나 개념 이해부족은 다음 학년의 학습을 지속해 나가기가 어렵다. 이와 같은 학습의 과정이 반복되면 학습 부진을 증대시켜 학습에 흥미를 잃게 한다. 이에 본 연구는 수학과 기초 학습력을 신장시키며 취학 전에 발달단계를 무시한 잘못된 수 경험을 개선하고자 멀티미디어 웹 코스웨어인 '50까지의 수'를 설계 및 구현하였다.