• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.159-168
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• 2021

Building Information Modeling (BIM) data is a digitized construction design by worldwide construction design stands rules. Some research are being conducted to utilize blockchain for safe sharing and trade of BIM data, but there is no way to store BIM data directly in the blockchain due to the size of BIM data and technical limitation of the blockchain. In this paper, we propose a method of storing BIM data by combining a distributed file system and a blockchain. We propose two network overlays for storing BIM data, and we also propose generating the Level of Detail (LOD)-based merkle tree for efficient verification of BIM data. In addition, this paper proposes a system design for distributed storage of BIM data by using blockchain besu client and IPFS client. Our system design has a result that the processing speed stably increased despite the increase in data size.

• Journal of the Korean Society of Radiology
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• v.16 no.7
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• pp.969-974
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• 2022

In order to maximize dynamic range and to minimize image lag in digital X-ray imaging, diminishing residual parasitic capacitance in photodiode in pixels is critically necessary. These requirements are more specifically requested in dynamic X-ray imaging with high frame rate and low image lag for industrial 2D/3D automated X-ray inspection and medical CT imaging. This study proposes duoPIX^TM X-ray imaging sensor for the first time that is composed of reset thin film transistor, readout thin film transistor and photodiode in a pixel. To verify duoPIX^TM X-ray imaging sensor, designing duoPIX^TM pixel and imaging sensor was executed first then X-ray imaging sensor with 105 ㎛ pixel pitch, 347 mm × 430 mm imaging area and 3300 × 4096 pixels (13.5M pixels) was fabricated and evaluated by using module tester and image viewer specifically for duoPIX^TM imaging sensor.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.83-90
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• 2023

Blurred image is an important factor in lowering image recognition rates in Computer vision. This mainly occurs when the camera is unstablely out of focus or the object in the scene moves quickly during the exposure time. Blurred images greatly degrade visual quality, weakening visibility, and this phenomenon occurs frequently despite the continuous development digital camera technology. In this paper, it replace the modified building module based on the Deep multi-patch neural network designed with convolution neural networks to capture details of input images and Attention techniques to focus on objects in blurred images in many ways and strengthen the image. It measures and assigns each weight at different scales to differentiate the blurring of change and restores from rough to fine levels of the image to adjust both global and local region sequentially. Through this method, it show excellent results that recover degraded image quality, extract efficient object detection and features, and complement color constancy.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.11-11
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• 2023

2020년 기준 우리나라 전체 지하수 시설은 총 1,659천개소, 이용량은 2,916백만m³/년, 년간 지하수 개발가능량은 130억m³대비 22.3%이다(환경부 등, 2021). 단위면적당 지하수 시설수와 이용량은 16.8개소/km², 29,168m³/년/km²(81.1m3/일/km²)이다. 이러한 자료는 가뭄 대응시 신규 관정 개발도 필요하지만, 기존에 개발된 관정들을 최대한 효율적으로 활용하는 방안을 우선적으로 고려해야 한다는 것을 시사한다. 관정들을 상호 연계하게 되면 여러 개의 관정에서 나오는 물을 합하여 총량을 늘릴 수 있기 때문에, 가뭄 등 비상시에 일시적으로 다량의 물을 공급할 수 있다. 또한, 평상시에도 적절한 양수량 조절을 통해 지하수 자원의 손실을 막고 수위 저하에 의한 문제를 최소화할 수 있다. 관정연계시스템(well network system, WNS)은 기존 관정들을 가상의(virtually) 또는 물리적(physical) 연계를 하여, 최적의 지하수를 공급할 수 있는 시스템으로 정의할 수 있다. 가뭄 대응 및 효율적 지하수 자원 활용을 위한 관정연계시스템 개발과 실증을 위해 홍성군 서부면 양곡리 일대에 양수제어, 관로시설, 물탱크 등 물리적인 시설을 시험 설치하여 운영하고 있다. 또한, 관정연계시스템은 ICT 기술과 지하수관리 기법을 연동하여 지하수 관정들을 연계하고 최적으로 운영할 수 있는 하나의 의사결정시스템으로서 관정연계 플랫폼을 개발하였다. 관정연계 플랫폼은 웹기반으로 개발되었으며, 대수층의 수리지질 특성, 수요에 기반한 물공급량 평가, 관정 연계 시나리오 및 최적 운영 알고리즘, 지하수 모델링 등이 가능하도록 각각의 모듈들이 구성 및 통합·운영 되도록 설계되었다. 본 시스템 개발을 통해 가뭄 발생시 현장에서 신속히 지하수로 물을 공급할 수 있으며, 신규 관정 개발에 드는 비용을 절약할 수 있고, 기존 시설을 활용하기 때문에 새로운 수자원 건설 인프라 구축 비용도 절감할 수 있을 것이다. 또한, 개별관정에 대한 이용률 제고와 지하수관리도 보다 체계적, 과학적으로 할 수 있을 것으로 기대한다. 하지만, 이러한 시스템이 제대로 운영 및 보급되기 위해서는 관정연계와 관련한 법제도적 보완과 함께, 지역사회의 공적자원으로서의 지하수에 대한 인식개선과 지하수의 개발 및 보전, 적합한 합리적 배분·이용 등 적극적인 협조가 이루어져야 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.384-387
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• 2022

This study was conducted to design and apply simulation-based problem-based learning classes, and then analyze the effects of class management using focus group interviews. In paramedicine, practical learning that can respond to various emergency situations based on major knowledge is important. In the case of problem-based learning classes, it is suitable for operating various topics covered by the Department of Paramedicine as it can improve capabilities such as problem-solving strategies, skills, and teamwork by providing practicality related to field situations for learning. This study developed a PBL module focusing on patients with dyspnea and applied it to medical emergencies and practice courses taken by 16 third graders of S University's Paramedicine department. Overall class satisfaction was high from 4.76 to 4.92. In particular, by resetting the learning strategy through PBL classes and experiencing cooperative learning, positive learning outcomes could be obtained and self-efficacy was experienced.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.1
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• pp.19-26
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• 2023

Because of the development of computational resources, an entire structure in which many components are combined can be analyzed. To do so, the calculation time and number of data points are increased. In many practical industry structures, there are many parts with repeated patterns. To analyze the repetitive structures effectively, a homogenization method is usually employed. In a homogenization module, including commercial programs, it is generally assumed that a unit cell is repeated in all directions. However, the practical industry structures usually have complicated, repeated patterns or structures. Complicated patterns are difficult to address using the conventional homogenization method. Therefore, in this study, a multilevel homogenization method was devised to consider complex regularities. The proposed homogenization method divides the structure into several areas and performs multiple homogenizations, resulting in a more accurate analysis than that provided by the previous method.

• Composites Research
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• v.19 no.6
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• pp.8-15
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• 2006

In this study, computational rotor dynamic analyses of a composite roller used for large LCD panel manufacturing process have been conducted. The present computational method is based on the general finite element method with rotating gyroscopic effects of rotor systems. General purpose commercial finite element code, SAMCEF which has special rotordynamics analysis module is applied. For the purpose of numerical verification, comparison study for a benchmark dual rotor model with support bearings is also presented. Detailed finite element models for composite roller with optimized lamination angles are constructed and analyzed considering gravity effect in order to investigate vibration characteristics in actual operation environment. As results of the present study, rotor stability diagrams and mass unbalance responses are presented for different rotating conditions.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.1-10
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• 2009

The field of the web service orchestration introduced to generate a valuable service by reusing single services. Recently, it suggests rule-based searching and composition by the AI (Artificial Intelligence) instead of simple searching or orchestration based on the IOPE(Input, Output, Precondition, Effect) to implement the Semantic web as the web service of the next generation. It introduce a AOP programming paradigm from existing object-oriented programming paradigm for more efficient modularization of software. In this paper, we design a dynamic web service orchestration and invocation scheme applying Aspect-Oriented Programming (AOP) and Reflection for Semantic web. The proposed scheme makes use of the Reflection technique to gather dynamically meta data and generates byte code by AOP to compose dynamically web services. As well as, our scheme shows how to execute composed web services through dynamic proxy objects generated by the Reflection. For performance evaluation of the proposed scheme, we experiment on search performance of composed web services with respect to business logic layer and user view layer.

• Journal of Industrial Convergence
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• v.21 no.7
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• pp.41-49
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• 2023

In recent years, various educational institutions have used online certificate services to verify academic achievement related to graduation and grades. However, the certificate of the existing system has limitations in verifying and tracking whether it is true or not and detailed academic background. In this regard, cases of forgery/falsification of online/offline certificates continue to occur. This study proposes a blockchain-based verification method that is safe from forgery and alteration, focusing on university institutions. Necessary information such as detailed class categories for each department, attendance, and detailed grades was collected/analyzed to create a linkage relationship through blockchain. In addition, the system/network environment required for blockchain sharing was considered, and it was implemented as an extension module in the form of an independent web application. As a result of the block chain verification, it was proved that the safe trust verification of educational information and the relationship between detailed information can be traced. This study aims to contribute to the improvement of academic credential verification services and information security for Korean educational institutions in the future.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.14-14
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• 2020

일반적으로 수문빈도해석은 치수계획 수립에 이용되는 설계강수량, 계획홍수량 등을 산정하기 위해 연최대치계열 또는 연초과치계열 자료를 이용한 극치빈도해석을 수행하고, 확률분포의 우측꼬리(right tail) 부분을 이용하여 확장된 재현기간에 해당하는 확률수문량을 추정한다. 하지만 가뭄 관련 분석에서는 확률분포의 좌측꼬리(left tail) 부분은 이용해 확장된 재현기간별 확률수문량을 추정해야할 경우가 발생한다. 또한 물관리 실무에서 장 단기 운영계획 수립을 위해 이용하는 갈수빈도 유입량 산정 등에서도 평년보다 작은 수문량에 대한 빈도해석이 필요한 경우가 있다. 국가 가뭄정보분석센터에서는 기존에 K-water연구원에서 개발한 빈도해석 프로그램인 K-FAT의 분석모듈을 이용해 극소치계열 또는 갈수빈도 유입량 분석에 특화된 가뭄빈도해석 프로그램을 개발하였다. 본 프로그램은 GEV, Gumbel, Weibull 등 14개의 확률분포형을 포함하며, 모멘트법, 최우도법 및 L-모멘트법을 사용하여 매개변수를 추정한다. 적합도 검정의 경우 χ², K-S, CVM, PPCC 및 수정 Anderson-Darling test를 이용하여 다각적인 검정을 할 수 있도록 하였다. 분석을 위한 입력 자료의 경우 사용자가 전처리를 통해 준비한 연최소치계열 등 연도별 시계열자료를 이용할 수 있으며, 일단위 및 월단위의 강수량 또는 댐 유입량 자료를 이용해 사용자가 원하는 기간의 누적강수량, 평균 유입량으로 변환할 수 있는 자료변환 기능을 추가하여 실무 활용성을 높였다. 또한 최적 확률분포 선정을 위해 참고할 수 있도록 AIC(Akaike information criteria)와 BIC(Bayesian information criteria) 분석이 포함되어 있으며, Bootstrap 기법 등을 이용한 불확실성 산정을 통해 추정 값의 신뢰구간을 표시하도록 하였다. 개발된 프로그램은 베타버전 시험배포를 거쳐 가뭄정보포털을 통해 배포할 예정이다.