• 한국콘텐츠학회논문지
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• 제10권5호
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• pp.416-421
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• 2010

한국과학기술정보연구원(KISTI)는 2000년부터 한국인의 고유한 인체 특징을 나타낼 수 있는 디지털코리언, 비저블 코리언이라는 한국인 인체정보 구축사업을 시작하였다. 비저블 코리언 사업은 한국인 시신에 대해 CT, MRI 영상을 촬영한 다음 연속 절단하여 절단면 영상을 얻고 이 절단면 영상에서 인체장기를 구역화하여 구역화 영상을 제작하였다. 남성 및 여성 전신과 남성 머리 및 여성 골반의 절단면영상 제작을 마쳤으며 현재 구역화 영상을 이용한 3D 영상 제작이 진행 중이다. 디지털 코리언 사업은약 100여명의 한국인 시신에 대해 촬영한 CT 영상으로 구성되어 있는데 CT 영상으로부터 개별 뼈를 구역화하여 3D 골격 모델을 제작하였고 피부 모델도 추가하였다. 또한 개별 뼈들의 기계적 물성값도 측정하여 제공하고 있다. 이러한 인체정보들은 2001년부터 국내외 연구자들에게 제공되어 왔는데 지금까지 국내 약 70여개 기관, 해외 약 20여개 기관들이 한국인의 인체 데이터를 제공받아 연구 활동을 진행하고 있으며 지금까지 약 160여 논문이 발표되었다. 향후에도 이러한 한국인의 인체정보는 의료 교육, 생체공학, 가상현실 등의 다양한 분야에 활용될 의료정보 인프라의 역할을 담당할 것으로 기대하고 있다.

• Journal of Mechanical Science and Technology
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• 제18권2호
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• pp.211-220
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• 2004

It is well known that the geometry of the articular surface has a major role in determining the position of articular contact and the lines of action for the contact forces. The contact force calculation of the knee joint under the effect of sliding and rolling is one of the most challenging issues in this field. We present a 3-D human knee joint model including sliding and rolling motions and major ligaments to calculate the lateral and medial condyle contact forces from the recovered total internal reaction force using inverse dynamic contact modeling and the Least-Square method. As results, it is believed that the patella, muscles and tendon affect a lot for the internal reaction forces at the initial heel contact stage. With increasing flexion angles during gait, the decreasing contact area is progressively shifted to the posterior direction on the tibia plateau. In addition, the medial side contact force is larger than the lateral side contact force in the knee joint during normal human walking. The total internal forces of the knee joint are reasonable compared to previous studies.

• 한국자동차공학회논문집
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• 제17권1호
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• pp.96-104
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• 2009

An anatomically detailed elderly human body model is under development. Using the anthropometric database of domestic nation-wide size survey, SizeKorea, a standard size and shape of 50th %tile elderly was constructed. Through the local recruitment process, a male volunteer with 71 years of age, 163cm of height and 63kg of weight has been selected. The exterior (skin) and interior (skeleton and organ) geometries were acquired from whole body 3D laser scan and various medical images such as CT, X-ray, and Ultrasonic of the volunteer. A particular attention has been paid into the combining process of exterior and interior geometries especially for joint articulation positions since they were measured at different postures (sitting vs. supine). A whole ribcage of PMHS which possessed similar anthropometry and age of standard 50th %tile elderly was prepared and dissected for the precise gauge of cortical rib bone thickness distributions. After completing the morphological construction of elderly human body, the finite element modeling will be processed by meshing elements and assigning mechanical properties to various biological tissues which reflect the aging effect.

• 한국정보시스템학회지:정보시스템연구
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• 제23권1호
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• pp.161-184
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• 2014

Our study measures the Digital Life Index (DLI) of baby boomers by considering the utilization of digital devices in their everyday life. The study was conducted by implementing the following three-step approach: (1) development of survey questions and data collection; (2) build Digital Life Index (DLI) model and lastly; (3) empirical analysis using the Digital Life Index (DLI). In the first stage in order to develop the survey questions to measure the digital index, two surveys were conducted. For the first preliminary survey, it was done based on the existing literatures which enabled this investigation through FGI analysis involving real professionals. The second survey was conducted by commissioning a specialized external firm. In this survey, a total of 400 data was collected to verify the validity and objectivity of the data sample. The data gathered through the survey questions was used to develop the digital index. Firstly, the appropriate factors were extracted by conducting factor analysis. This factor analysis validates and verifies the factors which are appropriate in measuring Digital Life Index (DLI). The derived factors are broadly divided into five main factors. The first factor describes the possession, purchase and use of digital device (x1). Meanwhile, the second factor describes the digital device's software (x2) and the third factor describes the participation in utilizing digital device (x3). The fourth factor describes the utilization of digital device in human personal relationship (x4) and lastly, the fifth factor describes the effect of digital device in everyday life and work environment (x5). Secondly, the digital index model was developed. The variables to represent the Digital Life Index (DLI) are ${\chi}1t,{\chi}2t,{\chi}3t,{\chi}4t$ and ${\chi}5t$. Furthermore, as experience in using the digital index grows overtime, the growth can be represented by the "S" shape. Based on the results, Digital Life Index(DLI) is distributed with the highest point at 90.3 and the lowest point at 25.9.

• 디지털콘텐츠학회 논문지
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• 제13권2호
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• pp.213-224
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• 2012

창작과정은 인간의 총체적 경험을 담고 있는 기억으로부터 출발한다. 오늘날 디지털 기술의 발달로 인해 인간의 전유물로 여겨졌던 창작과정을 모방한 디지털 서사 창작도구의 개발이 이루어지고 있다. 본 논문은 CBR 모델을 통해 인간의 장기기억이 창작에 개입하는 과정을 모방하고자 한 두 서사 창작도구인 <민스트럴>과 <스토리헬퍼>를 비교분석하였다. <민스트럴>은 인물의 목표를 사례의 구축과 도출, 재사용의 중심에 두고 개연성 있는 이야기의 생성을 시도하였다. 한편 <스토리헬퍼>는 위반성을 지닌 모티프를 사례의 구축과 도출, 재사용의 중심에 둠으로써 이야기에 잠재해있는 우발성의 부각하고, 이를 통해 작가의 창작 발상을 지원하고자 하였다. 향후에는 다양한 서사물의 창작에 디지털 매체의 활용의 가속화될 전망이다. 이 같은 전망 속에서 본 연구가 앞으로의 서사 창작 지원도구 도움이 될 수 있을 것으로 기대해본다.

• 디지털산업정보학회논문지
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• 제8권1호
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• pp.29-40
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• 2012

A challenging research issue that has been one of growing importance to those working in human-computer interaction are to endow a machine with an emotional intelligence. Thus, emotion recognition technology plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between human and computer. In this paper, we propose the multimodal emotion recognition system using face and speech to improve recognition performance. The distance measurement of the face-based emotion recognition is calculated by 2D-PCA of MCS-LBP image and nearest neighbor classifier, and also the likelihood measurement is obtained by Gaussian mixture model algorithm based on pitch and mel-frequency cepstral coefficient features in speech-based emotion recognition. The individual matching scores obtained from face and speech are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. Through experimental results, the proposed method exhibits improved recognition accuracy of about 11.25% to 19.75% when compared to the most uni-modal approach. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• 치과방사선
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• 제29권1호
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• pp.65-85
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• 1999

Objectives: To determine the effect of interpolation functions when processing the digital periapical images. Material and Methods: The digital images were obtained by Digora and CDR system on the dry skull and human subject. 3 oral radiologists evaluated the 3 portions of each processed image using 7 interpolation methods, and ROC curves were obtained by trapezoidal methods. Results: The heighest Az value(0.96) was obtained with cubic spline method and the lowest Az value(0.03) was obtained with facet model method in Digora system. The heighest Az value (0.79) was obtained with gray segment expansion method and the lowest Az value(0.07) was obtained with facet model method in CDR system. There was significant difference of Az value in original image between Digora and CDR system at a=0.05 level. There were significant differences of Az values between Digora and CDR images with cubic spline method, facet model method, linear interpolation method and non-linear interpolation method at α=0.1 level.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.161-168
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• 2018

Recently, the bio-sensing information systems for collecting and analysing human body information of a patient in real time in the field of medical information and healthcare information service are continuously increasing. Specially, various wearable devices such as a wrist, a garment, and a skin attachment type for supporting health information of a mobile user are rapidly increasing. Until now, there is no patch-type biometric information service model. Therefore, this paper presents a biometric information system model and the application examples to support biometric information sensing and health information service of mobile user with digital patch system as a new biometric information system. As a result, through this research, research issues based on digital patch system are searched to suggest the direction of continuous research.

• Journal of Public Diplomacy
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• 제1권2호
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• pp.49-74
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• 2021

In this paper, I applied grounded theory in exploring how Twitter became the battlefield for China's public diplomacy campaign. China's new move to global social media platforms, such as Twitter and Facebook, has been a controversial strategy in public diplomacy. This study analyzes Chinese Foreign Spokesperson Zhao Lijian's Twitter posts and comments. It models China's recent diplomatic move to Twitter as a "war of words" model, with features including "leadership," "polarization," and "aggression," while exerting possible effects as "resistance," "hatred," and "sarcasm" to the global community. Our findings show that by failing to gage public opinion and promote the country's positive image, China's current digital diplomacy strategy reflected by Zhao Lijian's tweets has instead constructed a polarized political public sphere, contradictory to the country's promoted "shared human destiny." The "war of words" model extends our understanding of China's new digital diplomacy move as a hybrid of state propaganda and self-performance. Such a strategy could spread hate speech and accelerate political polarization in cyberspace, despite improvements to China's homogenous network building on Twitter.

• 디지털콘텐츠학회 논문지
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• 제4권1호
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• pp.11-21
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• 2003

컴퓨터 비전 분야에 있어서 컬러 영상이 보다. 많은 정보를 포함하고 있음에도 불구하고 90년대 후반까지는 주로 흑백 영상(gray level image)을 대상으로 하여 연구가 이루어져 왔으며, 2000년대 들어서야 컬러 영상(color image)에 대한 연구가 활발히 진행되기 시작했다. 그 동안의 연구 결과들은 흑백 영상에서도 깊이 추정에 필요한 정보를 충분히 얻을 수 있음을 보여주지만 보다 나은 결과를 위해 컬러 정보의 이용은 필수적이다. 본 논문에서는 Opponet Color Model(OCM)에 기반한 에지 추출 기법을 제안 한다. Opponet Color Model이란 인간의 컬러 인식 과정을 연구하던 중 개발된 모델로서 망막의 세포에 감지된 영상이 뇌에 전달되기까지의 과정을 실제로 모델링 한다. 일반적으로 인간의 뇌는 눈으로부터 오는 적(red), 녹(green), 청(blue)의 정보를 각각 따로 입력 받아 컬러를 인식한는 것으로 알려져 있다. 그러나 OCM은 컬러 정보가 전달되는 과정에서 중간의 매개 세포를 거침으로 해서 어떠한 변화가 가해짐을 보여주는데 이러한 과정을 Opponet Color Processing이라 한다. 본 논문에서는 컬러 영상을 이용함에 있어 이미 기존의 여러 모델이 존재 하나 Opponet Color Model에 기반한 에지 추출 기법이 보다 우수함을 보인다.