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홍민성,조은희,Hong, Min-Sung,Cho, Eun-Hee 한국생산제조학회 2009 한국생산제조학회지 Vol.25 No.2
A fuel tank of a vehicle is an important part due to its flammable contents ant its importance during crash conditions. Therefore, the fuel tank's design should be assessed for durability and robustness to ensure safety during the early development phase. Previously, evaluation for the durability was done by testing in physical driving conditions which could only be done after the completion of the vehicle. Computation simulation is a more effective method to evaluate the strength and durability of the fuel tank during the early stage. In this paper, two outstanding computational simulation methods are studied. One evaluates PV cycle fatigue due to build up pressure in the fuel tank and the other evaluates the PSD vibration fatigue from modal characteristics. The results show that computational methods agree with physical tests and are thus suitable to analyze the strength and durability of the fuel tank at early development phase.
홍민성,김주철,Hong, Min-Sung,Kim, Joo-Chul 한국생산제조학회 2009 한국생산제조학회지 Vol.26 No.3
The motion base to a film used in 4D cinema theaters or theme parks is different depending on the operator's control or hardware system and this causes inefficiency in management of the theater. There are several different simulation software on the present market, but these are difficult for an animation producer to use them. This study introduces the idea in which a film producer simulates the movement of the motion base by using computer graphic animation tools mostly adopted by production for creating 3D animation and motion control data. Maya and 3D Cross were used to show the path of a motion camera visually. Attitude and axis control data were extracted from the movement of the virtual motion base and were used to control a prototype of the motion base. As a result, the motion control data from computer graphic animation tools can be created so that a film producer can create standard motion control data independently regardless of the hardware and operator's skill.
홍민성,김종현,Hong, Min-Sung,Kim, Jong-Hyun 한국생산제조학회 2010 한국생산제조학회지 Vol.25 No.6
In general, spot welding is used at no welding rod or flux for the process, low welding point temperature compared to arc welding, short heating time, less damage to the parent material, and low deformation and residual stress, relatively. Also, because of the pressurization effect, better mechanical qualities of the welding parts are obtained. Therefore, in various fields of industry its rapid operation speed can make mass production possible such as motor industry. In FEM analysis for the spot welding process, it is effective to use simple modeling rather than complicated one because of its numerous number of spots and reduction of analysis time. Therefore, this study provides with not only simplification of modeling analysis by using beam component composition of structure without re-compositing the spot welding point mesh but also modeling analysis of which property of fracture strength is reflected. In addition complete spot welding model is examined at rectangular post shape (hat shape) by impact test, compared the results, and verified its validity. As a result, it is possible to optimize the welding position and to recognize the strength of structure and the proposed equal distance model shows the effect of welding point reduction and improvement of stiffness.
웰니스 콘텐츠 추천을 위한 메타데이터 구성 및 웰니스 특성 분석 기법
홍민성(Min-Sung Hong),이오준(O-Joun Lee),이원진(Won-Jin Lee),이재동(Jae-Dong Lee) 한국컴퓨터정보학회 2014 韓國컴퓨터情報學會論文誌 Vol.19 No.8
최근 웰니스에 대한 관심이 대두되면서 웰니스와 IT 융합의 대표적인 연구로 웰니스를 위한 추천 시스템 등의 연구가 시도되었다. 하지만 기존 연구들은 웰니스 영역의 신체적, 정신적, 정서적, 사회적, 지적 영역 중 한 영역 또는 두 가지 이상의 영역만을 다루기 때문에 웰니스를 위한 추천 시 사용자들의 신뢰도와 만족도가 떨어지는 결과를 초래할 수 있다. 따라서 콘텐츠의 웰니스 영역별 특성을 통합하여 관리 및 분석할 수 있는 기법이 필요하다. 본 논문에서는 이를 위한콘텐츠의 메타데이터 구성과 웰니스 영역별 특성분석 방법을 제안한다. 또한 사전 설문과 제안하는 웰니스 영역별 계산 방법을 적용하여 분석한 콘텐츠의 웰니스 영역별 특성의 코사인 유사도를 분석하여 제안하는 방법의 효율성을 증명한다. 이를 통해 콘텐츠의 웰니스적 특징을 분석할 수 있고, 나아가 웰니스를 위한 맞춤화된 추천 서비스가 가능해질 것이다. Research into recommendation systems for wellness content has focused on representative research on the convergence of wellness and information technology, as interest in wellness has recently increased. But existing research is not suitable because it uses only one or two of the five wellness areas: physical, emotional, social, intellectual, and spiritual. And It cause decline of reliability and satisfaction for recommendation. Thus, a wellness areal feature analysis and integration management technique is needed. In this paper, suggest meta-data configuration and feature analysis technique of content. Also Cosine similarity of wellness areal features of the content was analyzed by applying a wellness areal score calculated in this way and by suggested wellness areal detailed properties and a measurement system to verify the efficiency of this research. This allows the wellness features of contents analyzed, and even will be able to personalized recommendations service for wellness.
스마트 디바이스 사용 여부에 따른 사용자의 이동 상황 판별 기법
홍민성(Min-Sung Hong),목남희(Nam-Hee Mok) 한국산업정보학회 2013 한국산업정보학회논문지 Vol.18 No.6
스마트 디바이스는 개인 장비이고 내장된 센서들을 사용할 수 있는 능력을 갖고 있다. 따라서 센서 정보를 통해 사용자의 상황을 인지하여 맞춤화된 서비스를 제공하는 것이 가능하다. 이러한 맞춤화된 서비스를 위해 사용자의 이동 상황은 많은 영역에서 활용이 될 수 있는 중요한 정보이다. 기존의 사용자의 이동 상황을 결정에 관한 연구들은 스마트 디바이스가 가방이나 주머니에 있다고 가정하였기 때문에 사용자가 스마트 디바이스를 사용하고 있는 경우에는 사용자의 이동 상황을 정확하게 결정하는데 적합하지 않다. 본 논문에서는 이러한 문제를 해결하기 위한 사용자의 스마트 디바이스 사용과 이동 상황을 판별하는 알고리즘을 제안한다. 제안한 알고리즘은 스마트 디바이스의 이벤트를 활용하여 사용자의 스마트 디바이스 사용 여부를 판단하고 가속도 센서 데이터를 통해 사용자의 이동 상황을 판별한다. 실제 실험을 통해 분석한 결과 평균 약 75%정도의 정확도를 보였다. The smart device is a personal device and has the ability to use built-in sensors. Therefore, it is possible to provide individually customized services through recognizing the user’s context from the sensor information. For these customized services, the user’s moving status is the important information that can be utilized in many areas. Because the existing researches on determining the user’s moving status assume that the user has a smart device in his/her pocket or bag, if the user is using his/her smart device it is not suitable for exactly distinguishing the user’s moving status. In order to solve this problem, this paper proposes an algorithm to determine the user’s using and moving status. Our proposed algorithm utilizes smart device’s events to distinguish the smart device usage and the accelerometer sensor data to determine the user’s movement. As an analyzing result through the real experiment, the accuracy of our algorithm is about 75 percent on average.