• Journal of Digital Contents Society
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• v.9 no.3
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• pp.509-516
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• 2008

We propose the Hybrid Rendering model to support multi-resolution for computer graphics. LOD method for computer graphics system considering performance of device environment and end-user preference usually adopts mesh resolution, mipmap in texture rendering, or oct-tree data structure in ray tracing. The hybrid rendering model, as a local shading model combining Gouraud shading model and a flat shading model, applies a proper shading method to each of polygons consisting of an object. This method can be an effective alternative to reduce real-time rendering time so that it can be utilized in real time adaptive service of computer graphic contents among various device environments under ubiquitous environments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.429-432
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• 2012

In this paper, we proposed the algorithm computes the waste volume periodically for the way of waste repository standard. For the construction of safe and clear urban environment, it is necessary that we identify the rubbish waste volume and we know the accuracy volume. After camera calibration, we obtained the point cloud on the surface of the object and took this as the input of the calculation algorithm of the object volume. We proposed the two volume calculation algorithms based on the triangularmeshing methods and verified the validity of the algorithm through simulation and real experiments. The proposed algorithm can be used not only as the volume calculation of the waste repository but also as the general volume calculation of a three dimensional object.

• The Journal of the Korea institute of electronic communication sciences
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• v.2 no.2
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• pp.106-112
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• 2007

Recently the crowd environment in the department of the animation is necessary to the digital industry. The goal of researching a proper crowd animation is to design character animation that is defined by the reality of scenes, performance of system and interaction with users to show the crowd vividly and effectively in cyber underwater. It is important to set up the crowd behavior patterns to represent for moving crowd naturally in cyber space. In the paper, we expressed the behavior patterns for flocks of fish in cyber underwater, and compared with the number of mesh, the number of fish, the number of frame, elapsed time, and resolution and analyzed them with the fish behavior simulating system.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1064-1067
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• 2014

우리 삶을 풍요롭게 하는 몇 가지 서비스들이 있다. 우리는 넘쳐나는 소셜 네트워크 서비스들을 통해 사람들과 다양한 관계를 맺고 유지하고 있다. 기존의 소셜 네트워크 서비스들은 유저간의 관계를 주로 사용하여 상호간의 메시지 전달을 돕는다. 오늘날 스마트기기의 발달 및 지리정보 시스템의 발달에 따라, 소셜 네트워크 서비스에서 사용자 위치 정보를 이용한 메시지 전달을 고려할 수 있다. 예를 들어 유저가 특정지역에 위치하고 있고 그 특정지역에 이벤트가 발생 했을 때 메시지를 전달 받는 다거나, 이벤트가 발생한 그 특정지역에 위치하지 않은 사용자라도 그 지역에 관심이 있거나 또는 관심 있는 다른 사용자가 해당 지역에 존재한다면 메시지를 전달 받는 경우를 생각할 수 있다. 이 논문에서는 이러한 위치정보 및 소셜 정보를 고려한 소셜 메시징 시스템을 소개하고, 이에 필요한 인터페이스 디자인 및 초기 구현 결과를 소개한다.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.163-163
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• 2010

저차원 나노양자구조에서 전자적 구조와 광 이득에 대한 연구는 전자소자나 광소자의 효율을 증진시키는데 중요한 역할을 하고 있다. 전자적 부띠 구조를 결정하기 위해서는 변형효과와 비포물선 효과를 고려하여 계산하면 나노 양자구조의 전자적 구조를 비교적 정확하게 계산 할 수 있다. 양자우물에서의 광 이득은 전자적 구조에 따른 전도 대역의 전자와 가전자 대역의 정공 사이에 발생하는 쿨롱 상호작용에 의한 엑시톤 결합 에너지를 고려함으로 정확히 계산할 수 있다. 본 연구에서는 양자 우물의 격자 부정합에 따른 변형효과와 전도대역에서 전자 에너지의 비포물선 효과가 양자 우물의 전자적 성질에 미치는 영향에 대하여 조사하였다. 또한, 온도변화에 따른 양자 우물의 전자적 구조를 계산하였고, 전자적 구조에 따라 엑시톤 결합 에너지가 광 이득에 미치는 영향을 계산하였다. 양자우물 구조에서 전자 및 정공의 부띠에너지, 파동함수 및 부띠천이 에너지를 가변메시 유한차분법으로 결정하였고, interacting pair Green's function 방법과 energy space integrated function 방법을 이용하여 광 이득을 계산하였다. 계산한 결과를 광루미네센스 측정으로 관측한 부띠에너지 천이와 비교하여 변형효과와 비포물선 효과가 전자적 구조에 미치는 영향과 엑시톤 결합 에너지가 광 이득에 미치는 영향에 대하여 비교하였다. 반도체 양자우물의 전자적 구조는 변형효과와 비포물선 효과에 의하여 영향을 받고 있는 것을 알 수 있었다. 또한, 전자-정공의 쿨롱 상호작용을 고려하여 계산한 광 이득이 온도 변화에 따라 관측한 실험 결과와 잘 맞는 것을 알 수 있었다. 이러한 결과는 격자 부정합한 화합물 반도체 양자우물의 저차원적인 전자적 구조와 광 특성을 이해하는데 많은 도움이 된다고 생각된다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.95-103
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• 2012

In this paper, we propose an efficient mobile P2P streaming architecture to minimize playback jitters in P2P overlay networks based on wired/wireless networks even though mobile peers experience the handover. In this architecture, mobile peers receive data in a push manner to maximize the data receiving speed before and after the handover. In addition, they can maintain the buffering above a specific level through handover prediction and re-selection of neighbor peers. By simulation experiments, we show that our proposed architecture can improve the performance significantly when the handover occurs compared to the existing mesh structure.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.79-86
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• 2020

In this paper, we propose an efficient emotional relaxation framework using Dijkstra algorithm based on anisotropic features. Emotional relaxation is as important as emotional analysis. This is a framework that can automatically alleviate the person's depression or loneliness. This is very important for HCI (Human-Computer Interaction). In this paper, 1) Emotion value changing from facial expression is calculated using Microsoft's Emotion API, 2) Using these differences in emotion values, we recognize abnormal feelings such as depression or loneliness. 3) Finally, emotional mesh based matching process considering the emotional histogram and anisotropic characteristics is proposed, which suggests emotional relaxation to the user. In this paper, we propose a system which can recognize the change of emotion easily by using face image and train personal emotion by emotion relaxation.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.205-212
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• 2019

With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

• Journal of IKEEE
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• v.23 no.3
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• pp.793-799
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• 2019

In this study, the diffusion process and the thermal energy distribution gradient of the sensor were confirmed by using the finite element analysis program (COMSOL) of the mesh method to analyze the thermal diffusion in the wearable fabric (Nylon) + MWCNT gas sensor. To analyze the diffusion process of thermal energy, the structure of the gas sensor was modeled in a two dimension plane. The proposed modeling was presented with the characteristic value for the component of the sensor, and the gas sensor designed using the mesh finite element method (FEM) was proposed and analyzed by suggesting the one-way partial differential equation in the governing equation to know the degree of thermal energy diffusion and the thermal energy gradient. In addition, the temperature gradient 10[K/mm] of the anode-cathode electrode layer and the gas detection unit was investigated by suggesting the heat velocity transfer equation.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.6
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• pp.393-399
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• 2022

During the ship hull design process, resistance performance estimation is generally calculated by simulation using computational fluid dynamics. Since such hull resistance performance simulation requires a lot of time and computation resources, the time taken for simulation is reduced by CPU clusters having more than tens of cores in order to complete the hull design within the required deadline of the ship owner. In this paper, we propose a method for estimating resistance performance of ship hull by simulation using a graph neural network. This method converts the 3D geometric information of the hull mesh and the physical quantity of the surface into a mathematical graph, and is implemented as a deep learning model that predicts the future simulation state from the input state. The method proposed in the resistance performance experiment of simple hull showed an average error of about 3.5 % throughout the simulation.