• 융합신호처리학회논문지
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• 제21권3호
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• pp.133-141
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• 2020

본 논문에서는 수중 드론이 받아들이는 데이터 정보의 통신 방식과 데이터 정보의 콘솔 디스플레이로의 구현 방식에 관해 기술하였으며, 통합 모니터링 시스템 인터페이스의 기능과 음파 탐지기 인터페이스 설계 및 구현에 대하여 설명하였다. 콘솔과 연결된 컨트롤러를 이용해 수중 드론의 운항 및 자세를 제어할 수 있도록 하였고, 수중 드론과 장애물 사이의 거리 정보를 음파 탐지기로부터 획득하여 카메라 영상과 함께 콘솔 화면에 시각적으로 표시할 수 있도록 제작하였다. 통합 모니터링 내비게이션 콘솔은 개선사항에 맞게 구현하여 작업자가 편리하고 쉽게 이용할 수 있다. 또한 통합 모니터링과 제어 소프트웨어 기능 고도화를 통해 사용자별 프로젝트 관리 기능과 선저 검사용 보고서 출력 기능을 추가하여 다른 수중 드론과는 차별성과 경쟁력 있게 제작하였다.

• BMB Reports
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• 제42권9호
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• pp.580-585
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• 2009

Dimethyl sulfoxide (DMSO) is widely used in chemistry and biology as a solvent and as a cryoprotectant. It is also used as a pharmaceutical agent for the treatment of interstitial cystitis and rheumatoid arthritis. Previous reports described DMSO as being reduced by methionine-S-sulfoxide reductase (MsrA). However, little is known about the DMSO reduction capability of methionine-R-sulfoxide reductase (MsrB) or its effect on the catalysis of methionine sulfoxide reduction. We show that mammalian MsrB2 and MsrB3 were unable to reduce DMSO. This compound inhibited MsrB2 activity but did not inhibit MsrB3 activity. We further determined that DMSO functions as an inhibitor of MsrA and MsrB2 in the reduction of methionine sulfoxides via different inhibition mechanisms. DMSO competitively inhibited MsrA activity but acted as a non-competitive inhibitor of MsrB2 activity. Our study also demonstrated that DMSO inhibits in vivo methionine sulfoxide reduction in yeast and mammalian cells.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.2456-2463
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• 2011

Conventional railways are less competitive than other land transportation means in term of speed, and thus users preference and transportation share for rail system are relatively lower than others. For example, most of the conventional lines except the Seoul~Busan corridor run at an average speed of 70 km/h or less, which imposes certain constraints on roles and functions as the trunk lines. In this regard, the speed of the conventional lines should be improved up to 200 km/h to gain competitiveness, promote balanced regional development and lead the era of low carbon green growth. As track system is one of the most important elements for the speed-up, it is critical to come up with optimum technical solutions. Improvement of ballast track structure with efficient track installation can provide structural stability for higher speed and ensure operational safety with lower maintenance efforts. Thus, this study focuses on consequences followed by the speed-up including increase of load imposed on the track and impacts on track components, and provide solutions for track maintenance by analyzing impact on the track structure by speed. Also, it compares ballast and concrete tracks under designing and construction and considers how to meet needs for passengers comfort and environmental requirements as a strategic approach.

• 한국항행학회논문지
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• 제14권3호
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• pp.397-408
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• 2010

업무효율 향상을 위해 중소기업에서의 정보시스템 사용이 대중화 되면서 초기 대기업을 중심으로 사용된 DBMS 활용이 중소기업 경쟁력을 강화시키는 데 중요한 촉매제 역할을 하고 있다. 그러나 정보시스템 및 DBMS 확산에 따라 보안사고와 같은 역기능도 함께 대두되면서 대기업에 비해 상대적으로 경영자원이 부족한 중소기업은 보안 시스템에 대한 투자가 미흡하여 DB보안 시스템을 도입하는 데 어려움을 겪고 있다. 따라서 본 논문에서는 중소기업의 DBMS 사용에 따른 해킹 및 보안사고 위협들을 사전에 방지 할 수 있는 중소기업의 정보화 환경에 적합한 간략한 하드웨어 형태의 DB보안 어플라이언스를 설계하고자 한다.

• 산업공학
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• 제25권1호
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• pp.71-78
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• 2012

Most manufacturing companies participate in various types of active collaboration to enhance competitive advantages in their arenas. In this paper, we introduce a data warehouse system that is designed for manufacturing collaboration. Just as enterprise information systems, collaboration support systems also need functions of performance measurement and monitoring. For this reason, we devise a new approach to measuring and evaluating performance of manufacturing collaboration. Specifically, we first present a concept of process warehouses for manufacturing collaboration. Next, we design a data schema of collaborative process warehouses to store and monitor collaboration performances. Finally, we implement a prototype system to support performance management of manufacturing collaboration. The proposed system can be used to effectively maintain and continuously improve collaboration in manufacturing industry.

• 한국의류학회지
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• 제44권4호
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• pp.764-775
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• 2020

Lifespans are increasing and many consumers are interested in health issues in these busy modern days, developing functional clothing that can be worn everyday is one of the competitive solutions in the oversaturated clothing market. When developing a new item with a fresh idea, it is important to look into prior art beforehand to avoid unnecessary intellectual property right-related disputes. This study investigates Korean domestic patents and utility models about functional clothing in terms of human body performance and health promotion in order to suggest essential data to relevant developers. We selected 324 patents and utility models and made an analysis according to the year, functions, applied technologies, frequency of claims, target wearers and item types. We found problems in current functional clothing patent application trends and suggested new aspects when developing innovative functional clothing items. Data was limited to Korean domestic patents; however, this study is still meaningful giving references to technology roadmaps and encouraging new intellectual property development.

• 한국지능시스템학회논문지
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• 제25권1호
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• pp.97-104
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• 2015

An 'associative cube', a class of auto-associative memories, is revisited here, in which training data and hidden orthogonal basis functions such as wavelet packets or Fourier kernels, are combined in the weight cube. This weight cube has hidden units in its depth, represented by a three dimensional cubic structure. We develop an unsupervised incremental learning mechanism based upon the adaptive least squares method. Training data are mapped into orthogonal basis vectors in a least-squares sense by updating the weights which minimize an energy function. Therefore, a prescribed orthogonal kernel is incrementally assigned to an incoming data. Next, we show how a decoding procedure finds the closest one with a competitive network in the hidden layer. As noisy test data are applied to an associative cube, the nearest one among the original training data are restored in an optimal sense. The simulation results confirm robustness of associative cubes even if test data are heavily distorted by various types of noise.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.373-376
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• 1996

The design development, and production of a product is one of the greatest challenges which flexible manufacturing systems face today. No matter how a company refines and controls the manufacturing process, if the product is not properly designed, it will not operate correctly or performed well. Therefore the focus on quality of design must be balanced. One such strategy certain to address the managerial and manufacturing of the future is concurrent engineering. Concurrent engineering calls for the consideration and inclusion of product design attributes satisfying all the design constraints such as customer requirements. Furthermore, concurrent engineering has been recently promoted in many industries as a response to competitive marketing pressures. Viewed as a systematic approach of creating high quality products and bringing them to market at lower cost and in significantly less time, it also attracts the attention of quality designers. In this paperm a methodology and model for optimizing the product design, especially selection of optimal design alternative, is developed. The focus of this paper is on product design as the most critical activity of concurrent engineering. The model is based on the customer requirements for quality. Customer requirements for a certain product can be grouped based on the various design attributes. The design attributes have the priorities. The number of design functions. Design attributes value are calculated, however these values are applied to the optimization method. Numerical example will be illustrated.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2007년도 춘계학술대회 논문집
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• pp.210-215
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• 2007

In terms of cultural history, museum architecture represents culture of society in an era. exhibition space which represents the society and culture can't be fixed in the same way in a current mobile era. Especially, mobility of exhibition can be able to give audience even opportunities to enjoy. As a result, mobile exhibition space that functions as total space for everybody and the study of this issue is necessary. As mobile exhibition space is in the middle of development, there are many things to make up for the weak points. In order to make mobile exhibition space more competitive, development of new form and material is needed most. besides, limited development on interior plans which has been overlooked in terms of mobility is needed. Also, there should be more aggressive and powerful marketing and promotion for mobile exhibition space. To equalize the metropolitan area and local exhibition space and revitalize domestic exhibition space, the utility of mobile exhibition space which is movable and economic is highly expected more than previous fixed exhibition space.

• Journal of Computing Science and Engineering
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• 제9권2호
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• pp.39-50
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• 2015

Genetic algorithm (GA) and particle swarm optimization (PSO) are two excellent approaches to multimodal optimization problems. However, slow convergence or premature convergence readily occurs because of inappropriate and inflexible evolution. In this paper, a novel optimization algorithm with a flexible grid optimization (FGO) is suggested to provide adaptive trade-off between exploration and exploitation according to the specific objective function. Meanwhile, a uniform agents array with adaptive scale is distributed on the gird to speed up the calculation. In addition, a dominance centroid and a fitness center are proposed to efficiently determine the potential guides when the population size varies dynamically. Two types of subregion division strategies are designed to enhance evolutionary diversity and convergence, respectively. By examining the performance on four benchmark functions, FGO is found to be competitive with or even superior to several other popular algorithms in terms of both effectiveness and efficiency, tending to reach the global optimum earlier. Moreover, FGO is evaluated by applying it to a parameter decision in a least squares support vector machine (LS-SVM) to verify its practical competence.