• The Journal of the Korean dental association
• /
• v.18 no.8 s.137
• /
• pp.639-644
• /
• 1980

In cases with maxillary lateral incisor missing, the problems were usually treated by the choice between space opening for prosthetic lateral incisor replacement and space closure with cuspid sub stitution for the alteral insicors. The decision of the choice could be perplexing in evaluation of the individual case. Therefore, various diagnostic criteria, such as occlusion, dental esthetics, canine position and inclination, tooth size relationship, maxillary lip length, and skeletal relation had to be evaluated. On the basis of this diagnostic information, the treatment planning could be established. A case was shown to illustrate the treatment of patient with congenitally maxillary lateral incisor missing.

• Proceedings of the KSMRM Conference
• /
• 2001.11a
• /
• pp.167-167
• /
• 2001

Purpose： To obtain normative human skeletal muscle data and evaluate quantitative diffusion-ten anisotropy information using diffusion-tensor imaging technique. Method： Quantitative extremity muscle diffusion tensor MR images were obtained in 5 healt adults by using turbo STEAM sequence and a combination of tetrahedral and orthogon diffusion gradients. Relative anisotropy(RA) and fractional anisotropy(FA) values we measured in soleus and gastrocnemius muscle in addition to mean ADC value.

• Journal of Advanced Information Technology and Convergence
• /
• v.9 no.2
• /
• pp.65-74
• /
• 2019

In this paper, we describe a new swing analysis system. We design this system to provide various information about golf swings and to help to correct wrong swings. We visualize three-dimensional skeletal information obtained from Kinect through various views. Golfers can see their swing behavior through these views. This system can calculate the similarity between the two trajectories obtained from Kinect to determine the similarity of swing trajectories of different golfers. Input trajectories are resampled to have equal spacing and are performed scaling and translation for accurate trajectory comparison. We have verified the usefulness of the proposed system through various analyzes.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.127-133
• /
• 2021

A recent study of people physically falling focused on analyzing the motions of the falls using a recurrent neural network (RNN) and a deep learning approach to get good results from detecting 2D human poses from a single color image. In this paper, we investigate a detection method for estimating the position of the head and shoulder keypoints and the acceleration of positional change using the skeletal keypoints information extracted using PoseNet from an image obtained with a low-cost 2D RGB camera, increasing the accuracy of judgments about the falls. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion-analysis method. A public data set was used to extract human skeletal features, 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 a conventional, primitive skeletal data-use method.

• Journal of Korean Library and Information Science Society
• /
• v.42 no.4
• /
• pp.243-262
• /
• 2011

The aim of this study was to investigate musculo-skeletal symtoms and working conditions of university library's librarians to search for the risk factors related to musculo-skeletal symptoms. The study subjects were 266 librarians who were working at 20 university libraries. A self-recording questionnaire was used to investigate the general characteristics, working conditions, job intensity, job satisfaction and stress, education of musculoskeletal disorders and nature of musculoskeletal symptom. Statistical analysis was done by using t-test and multiple regression analysis. The complaint proportion of self-reported positive musculoskeletal symptoms was 62.5% and that of severe musculoskeletal symptoms was 26.1%. Multiple regression analysis showed that low satisfaction of working conditions, high job intensity, irregular mealtime, job stress were closely related to the positive rate of musculoskeletal symptoms. Therefore, it will be necessary to make efforts to reduce the prevalence of musculoskeletal disorders improving working conditions and mitigating the job intensity.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.8
• /
• pp.87-93
• /
• 2023

In this paper, we propose a system that accurately and efficiently determines forward head posture based on network learning by analyzing the user's skeletal posture. Forward head posture syndrome is a condition in which the forward head posture is changed by keeping the neck in a bent forward position for a long time, causing pain in the back, shoulders, and lower back, and it is known that daily posture habits are more effective than surgery or drug treatment. Existing methods use convolutional neural networks using webcams, and these approaches are affected by the brightness, lighting, skin color, etc. of the image, so there is a problem that they are only performed for a specific person. To alleviate this problem, this paper extracts the skeleton from the image and learns the data corresponding to the side rather than the frontal view to find the forward head posture more efficiently and accurately than the previous method. The results show that the accuracy is improved in various experimental scenes compared to the previous method.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.67 no.4
• /
• pp.586-594
• /
• 2018

In this paper, we propose a livestock theft detection system through moving object classification and tracking method. To do this, first, we extract moving objects using GMM(Gaussian Mixture Model) and RGB background modeling method. Second, it utilizes a morphology technique to remove shadows and noise, and recognizes moving objects through labeling. Third, the recognized moving objects are classified into human and livestock using skeletal features and color similarity judgment. Fourth, for the classified moving objects, CAM (Continuously Adaptive Meanshift) Shift and Kalman Filter are used to perform tracking and overlapping judgment, and risk is judged to generate a notification. Finally, several experiments demonstrate the feasibility and applicability of the proposed method.

• Journal of Internet Computing and Services
• /
• v.17 no.5
• /
• pp.67-74
• /
• 2016

Distributed agile software development faces difficulties for instance lack of visibility across development and delivery processes, complex and disjointed development processes, inability to capitalize on business opportunities, lack of communication agility between disconnected owners, development teams, and users or clients. However these difficulties are solved with the help of cloud computing services. This study proposes a framework to provide a skeletal or structural environment for distributed agile software development in cloud computing environment. The framework guide towards the best tooling to deliver a consistent, automated, governed, and unified agile software development process with reduced technical debt, and minimized project backlog. In addition to this, the study highlights the benefits of cloud computing in agile software development.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06b
• /
• pp.177-180
• /
• 2011

Software Architecture for any given software system is its skeletal framework. That is to say that if this framework does not properly support the system then it would cause more harm than good. Accordingly it is our opinion that choosing the right architecture to realize this framework is a crucial part in creating a successful system. This report discusses a comparative method which utilizes the steps in ATAM to realize architectural decisions and more importantly aide in architectural selection that promotes system success.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.07a
• /
• pp.45-46
• /
• 2013

대중에게 하나의 취미 생활로 자리매김한 게임은 특징이나 작동 방법에 따라 다양한 장르로 발전되었다. 그 중 액션게임 장르는 사용자가 조작하는 캐릭터의 역동적인 움직임과 움직임이 큰 동작으로 인해 사용자로 하여금 게임 플레이에 몰입할 수 있는 특징을 가지고 있다. 과거 2D 환경의 게임에서 연속되는 그림으로 표현되던 캐릭터의 애니메이션 장면은 3D 환경으로 발전하면서 새로운 애니메이션 기법을 필요로 하였으며, 현재 다양한 애니메이션 기법이 연구되고 있다. 본 논문에서는 3D 뼈대 애니메이션 통하여 DirectX에서의 캐릭터 애니메이션 적용 대해 설명한다.