• 실천공학교육논문지
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• 제16권2호
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• pp.121-128
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• 2024

이 연구는 특성화고 학생들에게 인벤터 소프트웨어를 사용하여 로봇 팔을 디자인하고 3D 프린터를 통해 제작하여 아두이노 마이컴으로 제어하는 융합 교육 방법을 소개하며, 학생들에게 실무 경험을 제공하고 다양한 학문 분야의 지식과 기술을 융합할 수 있는 기회를 제공할 수 있다. 학생들은 CAD 소프트웨어로 디자인을 시작하고, 3D 프린팅 기술을 통해 실제로 로봇 팔의 부품을 제작하며, 마지막으로 부품을 조립한 로봇 팔을 프로그래밍하여 제어하게 하였다. 이 융합교육에서 학생들의 문제 해결능력과 창의성을 키우고, 학습 동기를 높이는 데 도움이 되었고 이런 교육적시도가 실제 교육과정에 적용하기 위해서는 적절한 자원과 교사의 지속적인 관심과 지원이 필요하며, 이러한 연구는 향후 교육에서 적용 가능성을 탐색하기 위한 기초적인 연구로 간주된다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1464-1468
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• 1997

We propose a decentralized state estimation method in the multisensor state estimation problem. The proposed method bounds teh maximum energy gain from uknown external disturbances to the estimation errors in the suboptimal case. And we formulate aternative H/sip .inf./ filter gain equatiions with teh idea that the suboptimal H.$^{\infty}$ filter is the special form of Kalman filter filter whose state equations are defined in indefinite inner product spaces. Using alternative filter gain equations we design the decentralized $H^{\infty}$ state estimator which is composed of local filters and central fusion filter that are suboptimal in the $H^{\infty}$ sense. In addition, the proposed update equations between global and local data can reduce unnecessary calculation burden efficently.y.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2019년도 추계학술대회
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• pp.155-157
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• 2019

본 논문에서는 기존의 DERS, VSRS를 이용한 가상시점 합성이 가지고 있는 문제점을 해결하기 위해 비지도 학습 방식의 학습 모델을 이용하여 가상시점 합성에 적용하는 방식을 제안한다. 제안한 방식에서는 기존의 DERS와 달리 Disparity의 탐색범위를 지정하지 않고 Depth의 예측이 가능하며 단안의 영상에서 Depth를 예측하기 때문에 가상시점 합성 시 더 넓은 시점을 합성 할 수 있다. 또한 기존 방식은 Depth와 합성 영상을 각각 처리해야하지만 제안하는 방식은 한 번에 작업이 이루어지며, GPU를 기반으로 구현하였기 때문에 기존의 합성 방식 보다 처리 속도가 우수하다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2016년도 하계학술대회
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• pp.19-22
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• 2016

최근 다양한 실감 미디어 기술과 표출 방법이 제시되고 있다. 특히 개인 방송에서 제작자 및 사용자에게 편리성을 제공하고 시청자의 실감성 체험을 극대화할 필요가 있다. 이에 따라 본 논문에서는 멀티 제스처가 필요한 실감 미디어를 멀티 디스플레이, 시점 선택, 3차원 객체 복원으로 정의하였다. 또한 사용자 및 제작자의 편리성을 위해 필요한 제스처에 대한 종류를 분석하였으며, 사용자의 다양한 제스처를 인식하고 실감 콘텐츠를 표출하도록 시스템을 구성하였다.

• Journal of information and communication convergence engineering
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• 제15권1호
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• pp.7-13
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• 2017

We consider a distributed estimation where many nodes remotely placed at known locations collect the measurements of the parameter of interest, quantize these measurements, and transmit the quantized data to a fusion node; this fusion node performs the parameter estimation. Noting that quantizers at nodes should operate in a non-regular framework where multiple codewords or quantization partitions can be mapped from a single measurement to improve the system performance, we propose a low-weight estimation algorithm that finds the most feasible combination of codewords. This combination is found by computing the weighted sum of the possible combinations whose weights are obtained by counting their occurrence in a learning process. Otherwise, tremendous complexity will be inevitable due to multiple codewords or partitions interpreted from non-regular quantized data. We conduct extensive experiments to demonstrate that the proposed algorithm provides a statistically significant performance gain with low complexity as compared to typical estimation techniques.

• 대한용접접합학회:학술대회논문집
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• 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
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• pp.418-424
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• 2002

Korean Fusion Reactor(KSTAR) system consists of a vacuum vessel, in-vessel components, cryostat, thermal shield, super-conducting magnets and magnet supporting structures. These systems are in the final stage of engineering design with the involvement of industrial manufacturers. The overall configuration and the detailed dimensions of the KSTAR structure have been determined and the first stage of manufacturing is progressing now. In this study, the fabrication and assembly sequence were evaluated in viewpoint of high strengthening joints and very high accuracy. Especially for this purpose, the special cleaning process and welding process were proposed for high strengthening austenitic stainless steel which shall be used at cryogenic temperature. The draft procedure qualification data for welding process are presented with precise welding data including special narrow groove design. For the cooling line attachment on the surface of inside wall of magnet structure case, Induction brazing technology is introduced with some special jigging system and some consumables.

• 복식문화연구
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• 제9권3호
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• pp.501-510
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• 2001

This study is focused on apparel textile design process applying pre-developed Korean traditional motifs. Since the fusion culture is in trend, Orientalism or Oriental look is the center of attraction in fashion. Under the circumstances, developing the traditional resources as sophisticated Korean-style is the goal of the BK21 team. This study makes a move to achieve the goal. As a method of accomplishing this study, 4 trendy motif samples such as stylized letter, butterfly, peony, and female face are selected after investigating fashion magazines and fashion related websites. As a result, pre-developted Korean traditional motifs are elected and revised using Adobe Illustrator 9.0. The newly revised motifs are applied to the textile pattern repeat form. The completed textile patterns are simulated on the simulated on the shawls to show their usages as one of souvenir items since the year of 2001 is the year of “Visit Korea”.

• International Journal of Internet, Broadcasting and Communication
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• 제10권4호
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• pp.65-69
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• 2018

In this paper, we propose an interworking architecture for building indoor air quality monitoring server (BEMS) using IIoT (Industrial Internet of Things). The proposed monitoring server adopts IIoT-based standard protocol so that interaction with BEMS installed in existing buildings can be performed easily. It can effectively communicate with indoor air quality measurement sensor installed in the building based on IIoT, Indoor air quality monitoring is possible. We implemented a proposed monitoring server, and confirmed the availability and monitoring of data from sensors in the building.

• 한국정밀공학회지
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• 제32권5호
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• pp.463-470
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• 2015

Solar cell is typical representative of renewable green energy. Silicon wafer contributes about 66 percent to its cost structure. In its manufacturing, micro-cracks are often occurred due to manufacturing process such as wire sawing, grinding and cleaning. Their detection and classification are important to process feedback information. In this paper, a classification method of micro-cracks is proposed, based on the fusion of principal component analysis(PCA) and neural network. The proposed method shows that it gives higher results than single application of two methods, in terms of shape and size classification of micro-cracks.

• Journal of information and communication convergence engineering
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• 제14권4호
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• pp.215-221
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• 2016

We consider a design of a combined quantizer and estimator for distributed systems wherein each node quantizes its measurement without any communication among the nodes and transmits it to a fusion node for estimation. Noting that the quantization partitions minimizing the estimation error are not independently encoded at nodes, we focus on the parameter regions created by the partitions and propose a cluster-based quantization algorithm that iteratively finds a given number of clusters of parameter regions with each region being closer to the corresponding codeword than to the other codewords. We introduce a new metric to determine the distance between codewords and parameter regions. We also discuss that the fusion node can perform an efficient estimation by finding the intersection of the clusters sent from the nodes. We demonstrate through experiments that the proposed design achieves a significant performance gain with a low complexity as compared to the previous designs.