• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.919-921
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• 2005

본 논문은 임베디드 소프트웨어 개발자가 개발 소프트웨어의 성능 테스팅 결과를 그래픽 형태의 인터페이스를 통해 쉽고 편리하게 분석할 수 있는 성능 분석기를 제안한다. 제안하는 성능 분석기는 임베디드 소프트웨어에 대해 생성된 텍스트 기반 저수준의 성능 평가 정보를 그래픽 형태의 결과 화면으로 재구성하기 위한 API로 변형하는 정보 변환기 모듈과 API 형태의 자료구조를 이용해 성능 평가 결과를 그래픽 형태로 출력하는 레포트 생성기로 구성된다. 제안하는 그래픽 기반의 성능 분석기는 개발자나 사용자에게 그래픽 형태의 편리한 성능 분석 레포팅을 제공한다. 따라서, 임베디드 소프트웨어 개발자는 기존의 텍스트 형태의 결과를 분석하기 위한 시간과 노력을 줄일 수 있고, 즉각적이고 직관적인 결과 분석기회를 얻을 수 있어 관련 소프트웨어 개발 효율성을 높일 수 있을 것이다.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.11
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• pp.137-144
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• 1998

In this paper we present our research dealing with the problem of tool deflection during the milling. We try to compensate the errors by considering a new tool trajectory. In order to determine the compensated tool trajectory, the problem is divided in three steps : cutting forces model, tool deflection model and trajectory compensation. Starting from experimental data, we determine a cutting forces model., which allows us to anticipate the tool deflection along one nominal path. In order to determine the compensated tool trajectory, we propose in this paper a method of path compensation, called “mirror method”. This method of tool path optimization allows to minimize errors due to tool deflection. Several examples are processed in simulations and validated experimentally.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.1053-1055
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• 2019

최근 사용자에게 단순히 체험을 제공하는 것을 넘어서 같은 내용의 체험을 제공하더라도 더욱 실감있는 체험을 제공하기 위한 연구가 이루어지고 있다. 사용자에게 시각적으로 현존감 있는 체험을 제공하기 위한 유사 홀로그램(hologram-like)시스템은 고전적인 디스플레이 방식에 빛의 간섭현상을 더해 투영되는 물체가 실제 현장에 존재하는 것과 같은 효과를 준다. 이러한 유사홀로그램 시스템은 공연, 전시, 교육 등 다양한 서비스 분야에 널리 확대가 가능한 차세대 디스플레이 시스템이다. 유사홀로그램 시스템을 구성하는 방법은 피라미드, 반투명 대형 단일 스크린 등 다양한 형태의 H/W 구성 특성에 따라 다양한 형태로 제작이 가능하지만 시스템 내부에 콘텐츠를 표현할 때 마다 H/W 구성 특성에 맞춰 콘텐츠를 매번 재구성해야 하는 번거로움이 존재한다. 본 논문에서는 다양한 형태의 H/W 구성을 가질 수 있는 유사홀로그램 시스템에 표현되는 콘텐츠 구성을 자동적으로 보정하여 다양한 종류의 유사홀로그램 시스템 H/W 를 사용하여도 콘텐츠를 변형없이 적용할 수 있는 저작도구 설계를 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.230-233
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• 2009

본 논문은 볼륨 데이터를 입력받아 계층성을 지원하는 등밀도 표면을 재구성하는 방법을 제안한다. 제안된 방법은 먼저 입력 볼륨 데이터에서 볼륨 피라미드를 구성하고 해상도가 최저인 피라미드의 최상단 볼륨에서부터 셀경계표현 방법을 이용하여 조악한 초기 메쉬를 생성하며, 이 메쉬를 표면축소기법을 사용하여 반복적으로 변형하여 O(3)-인접성 조건하에서 추출한 등밀도점을 잘 근사할 수 있도록 한다. 제안된 방법은 생성되는 표면이 압축이나 점진적인 전송 등과 같은 다중 해상도 알고리즘에 활용될 수 있다는 장점이 있다.

• Transactions of the Korean Society of Automotive Engineers
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• v.16 no.1
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• pp.52-63
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• 2008

The side collision reconstruction algorithm is developed using three dimensional car crash analysis. Medium size passenger car is modeled for finite element analysis. Total 24 side collision configurations, four different speed and six different angle, are set up for making side collision database. Deformation index and degree index are built up for each collision case. Deformation index is a kind of deformation estimate averaging displacement of side door of crashed car from finite element analysis result. Angle index is constructed measuring deformed angle of crashing car. There are two kinds of angle index, one is measured at driver's side and the other is measured at passenger's side. Also a collision analysis information in side of cars is used for giving a basis for scientific and practical reason in a reconstruction of the car accident. The analysis program, LS-DYNA3D is utilized for finite element analysis program for a collision analysis. Those database are used for side collision reconstruction. Side collision reconstruction algorithm is developed, and applied to find the collision conditions before the accident occurs. Three example collision cases are tried to check the effectiveness of the algorithm. Deformation index and angle index is extracted for the case from the analysis result. Deformation index is compared to the established database, and estimated collision speed and angle are introduced by interpolation function. Angle index is used to select a specific collision condition from the several available conditions. The collision condition found by reconstruction algorithm shows good match with original condition within 10% error for speed and angle. As a result, the calculation from the reconstruction of the situation is reproducing the situation well. The performance in this study can be used in many ways for practical field using deformation index and degree index. Other different collision situations may be set up for extending the scope of this study in the future.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.504-510
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• 2011

In the culture performance field, device technologies for public performances with new concept is on the rise with the advancement of science. Most designers make use of the performance devices to achieve powerful and dramatic effect in their performances. It increases the perfection of performance. Most of all, applying high technology to performances' stage leads to enhance the space efficiency of the limited stage as well as to enable us to run a fully unmanned performance. This paper proposes a reconstructible electric block system for public performances' stage to heighten the fantastic stage effect variously.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.76-83
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• 2009

This paper presents a compression method for animated meshes or mesh sequences which have a shared connectivity and geometry streams. Our approach is based on static semi-regular mesh compression algorithm introduced by Khodakovky et al. Our encoding algorithm consists of two stages. First, the proposed technique creates a semi-regular mesh sequence from an input irregular mesh sequence. For semi-regular remeshing of irregular mesh sequences, this paper adapts the MAPS algorithm. However, MAPS cannot directly be performed to the input irregular mesh sequence. Thus, the proposed remesh algorithm revises the MAPS remesher using the clustering information, which classify coherent parts during the animation. The second stage uses wavelet transformation and clustering information to compress geometries of mesh sequences efficiently. The proposed compression algorithm predicts the vertex trajectories using the clustering information and the cluster transformation during the animation and compress the difference other frames from the reference frame in order to reduce the range of 3D position values.

• Journal of IKEEE
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• v.18 no.4
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• pp.572-580
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• 2014

This study deals with reconfigurable modular robot with respect to the compact and capability of representing the various actions for promoting creativity through education and play. Generally modular robot can be designed as a suitable robot that is transformed to various structure by reconstructing each cells, However, there are only few research on the education and play using those robots in the world and still nothing domestically. Unlike the existing modular robots only having a repeating motion, the proposed modular works by individual module such as sound is produced by sound module, wheel is driven by wheel module, LED module controls the visual expression, power is supplied by battery module, bluetooth module for communication, and dynamic motion realization is possible by using joint module. By manipulating the abilities endowed by individual modules, diversity of creative activities is possible and thus made an easy access for children. This study deals with the design of modular robotic by using the variety of different modules to endowed the learning and playing ability. And the study showed the utility of the operating behavior over the actual production and testing.

• Smart Media Journal
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• v.5 no.3
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• pp.35-41
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• 2016

In this paper, we propose hand-gesture signal recognition based on EPS(Electronic Potential Sensor) using Deep learning model. Extracted signals which from Electronic field based sensor, EPS have much of the noise, so it must remove in pre-processing. After the noise are removed with filter using frequency feature, the signals are reconstructed with dimensional transformation to overcome limit which have just one-dimension feature with voltage value for using convolution operation. Then, the reconstructed signal data is finally classified and recognized using multiple learning layers model based on deep learning. Since the statistical model based on probability is sensitive to initial parameters, the result can change after training in modeling phase. Deep learning model can overcome this problem because of several layers in training phase. In experiment, we used two different deep learning structures, Convolutional neural networks and Recurrent Neural Network and compared with statistical model algorithm with four kinds of gestures. The recognition result of method using convolutional neural network is better than other algorithms in EPS gesture signal recognition.

• Journal of Biomedical Engineering Research
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• v.24 no.6 s.81
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• pp.515-522
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• 2003

Pharynx is a system transporting foods by peristaltic motion(contraction and expansion movement! into the esophagus and functioning as airway passages. In this study, structural changes of pharyngeal dysfunction are analyzed by biomechanical model using CT and FEM(finite clement method). Loading condition was assumed that equal pressure was loaded sequentially to inside of pharyngeal tissue. In order to analyze the pharyngeal muscular dysfunction by biomechanical model. the pharyngeal dysfunctions was classified into 3 cases. Taking into account the clinical complication by neuromuscular symptoms such as pharyngeal dysfunction after stroke. we assumed that a change of material property is caused by muscular tissue stiffness. A deformation of cross sectional area of the pharynx is analyzed increasing the stiffness $25\%,\;50\%,\;75\%$ in each case on the basis of stress-strain relationship. Based on three-dimensional reconstruction of pharyngeal structure using limited factor - techniques and the optimization procedure by means of inverse dynamic approach. the biomechanical model of the human pharynx is implemented. The results may be used as clinical index illustrating the degree of pharyngeal muscular dysfunction. This study may be used as useful diagnostic model in discovering early deglutitory impediment caused by physiological or pathological pharyngeal dysfunction.