• 한국BIM학회 논문집
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• 제10권3호
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• pp.43-53
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• 2020

BIM-based Cloud platform gained popularity coupled with the convergence of Fourth Industrial Revolution technology. However, most of the previous work has not guaranteed sufficient efficiency to meet user requirements according to BIM service. Furthermore, the Cloud environment is only used as a server and it does not consider cloud characteristics. For the processing of High Capacity Data like BIM and using seamless BIM service, Resource management technology is required in the cloud environment. In this paper, to solve the problems, we propose a BIM platform for BaaS and an efficient resource allocation scheme. We also proved the efficiency of resource for the proposed scheme by using existing schemes. By doing this, the proposed scheme looks forward to accelerating the growth of the BaaS through improving the user experience and resource efficiency.

• 한국BIM학회 논문집
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• 제11권2호
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• 한국BIM학회 논문집
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• 제8권2호
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• pp.1-9
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• 2018

Nowadays Building Information Modeling (BIM) is a significant source of sharing project information in the construction industry. This method of sharing the information enhances the project understanding among stakeholders. Modeling of information using BIM is becoming an essential part of many construction projects around the globe. Despite rapid adoption of BIM in construction industry still, some sectors of the industry like earthwork have not yet reaped its full benefits. BIM has brought a paradigm shift through identification and integration of the roles and responsibilities of project participants on a single platform. BIM is a 3D model-based process which provides the insight into the efficient project planning and design. The 3D modeling can also be used significantly for the design of temporary structures in an earthwork project. This paper presents the quantity take-off methodology and parametric modeling technique for creating the temporary structures using 3D BIM process. A case study is conducted to implement the proposed temporary structure family design on a real site project. The study presented is beneficial for the earthwork project stakeholders to extract the relevant information using 3D BIM models in a project. It provides an opportunity to calculate the quantity of material required for a project accurately.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제7권6호
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• pp.569-581
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• 2001

XML의 등장으로 인터넷의 제2의 혁명을 가져올 것이라는 기대는 XML 스키마 정의 언어가 표준화됨으로써 현실적으로 실현 가능하게 되었다. XML 스키마를 설계하는 것은 DTD를 설계하는 것보다 더 복잡하며 더 많은 정보가 제공되게 된다. 이에 XML 스키마를 모델링하는 도구들이 등장하고 있으며, 이 도구는 일반적인 모델링 도구와는 다른 기능이 요구된다. 본 논문에서는 \"설계 후 즉시 개발\"이라는 XML 응용 프로그램 개발 방법론을 제안하고, 이를 XSD4j에서 구현하였다. XSD4j를 사용하면 개발자는 쉽고 개념적인 수준의 스키마를 모델링할 수 있다. 또한, XML 문서를 위한 XML 저장매체 스키마의 생성 및 XML 문서와 응용 프로그램간의 표준적인 인터페이스인 DOM API를 얻을 수 있어 XML 응용 프로그램의 작성을 쉽게 할 수 있다.쉽게 할 수 있다.

• 한국측량학회지
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• 제30권6_2호
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• pp.593-605
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• 2012

LiDAR systems provide dense and accurate topographic information. A pre-requisite to achieving the potential accuracy of LiDAR is having a proper system calibration, which aims at estimating all the systematic errors in the system measurements and the mounting parameters relating the different components. This paper presents a rigorous and two approximate methods for LiDAR system calibration. The rigorous approach makes use of the LiDAR equation and the system raw measurements. The approximate approaches utilize simplified LiDAR equations using some assumptions, which allow for less strict requirements regarding the raw measurements. The first presented approximate method, denoted as quasi-rigorous, assumes that we are dealing with a vertical platform (i.e., small pitch and roll angles). This method requires time-tagged point cloud and trajectory position data. The second approximate method, denoted as simplified, assumes that we are dealing with parallel strips, vertical platform, and minor terrain elevation variations compared to the flying height above ground. Such method can be performed using the LiDAR point cloud only. Experimental results using a real dataset, whose characteristics deviate to some extent from the utilized assumptions in the approximate methods, are presented to provide a comparative analysis of the outcome from the introduced methods.

• 정보처리학회논문지B
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• 제18B권4호
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• pp.173-180
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• 2011

본 논문은 GPU(Graphics Processing Unit) 에서 CUDA(Compute Unified Device Architecture)를 사용하여 실시간으로 객체를 분할하는 방법을 소개한다. 최근에 감시 시스템, 오브젝트 추적, 모션 분석 등의 많은 응용 프로그램들은 실시간 처리가 요구된다. 이러한 단계의 선행부분인 객체 분할 기법은 기존 CPU 기반의 시스템으로는 실시간 처리에 제약이 발생한다. NVIDIA에서는 Parallel Processing for General Computation 을 위해 그래픽 하드웨어 제약을 개선한 CUDA platform을 제공하고 있다. 본 논문에서는 객체 추출 단계에 대표적인 적응적 가우시안 혼합 배경 모델링(Adaptive Gaussian Mixture Background Modeling) 알고리즘과 Classification 기법으로 사용되는 CCL (Connected Component Labeling) 알고리즘을 적용하였다. 본 논문은 2.4GHz를 갖는 Core2 Quad 프로세서와 비교하여 평가하였고 그 결과 3~4배 이상의 성능향상을 확인할 수 있었다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• 인터넷정보학회논문지
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• 제23권1호
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• pp.39-47
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• 2022

디지털트윈은 현실데이터를 수집하고 가상공간을 구현하는 측면에서 핵심 인프라에 대한 디지털 관리체계 구축의 하나로 자리 잡고 있다. 하지만 현재 국내에는 3차원 기반의 통합적인 해양정보 분석도구 및 기술이 부재하며, 육상과 달리 유동적인 해양정보를 디지털화하기 위해서는 새로운 3D모델링 기술과 자료처리 기술이 요구되나 추진에 한계가 존재한다. 이에 본 연구에서는 해양 디지털트윈 관련 동향과 디지털트윈 기술 요소를 분석하여 향후 해양 디지털트윈의 구조, 데이터, 모델링, 활용 플랫폼 4가지 부문으로 개발 방향을 제시하고자 한다.

• 인터넷정보학회논문지
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• 제20권6호
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• pp.85-93
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• 2019

Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.

• 한국정보시스템학회지:정보시스템연구
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• 제25권2호
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• pp.131-152
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• 2016

Purpose Mobile phones increase the frequency and speed of communication. The most popular mobile application in Korea is KakaoTalk, one of the mobile instant messenger(MIM) services. Although studying mobile services such as SMS, SNS and SNG suggests drawing upon theories in marketing, consumer behavior, psychology to investigate their personal use, research on MIM is scarce. We designed this paper to fill this gap. More specifically, this study is focused on the relationships among consumers psychological variables related to purchase intention to emoticons in context of MIM. Design/methodology/approach Data was obtained from 310 KakaoTalk users in Korea via questionnaire. The data was analyzed by structural equation modeling in order to verify the relationship between variables in the model. Specifically, this study is designed to examine the structural relationships among perceived benefits, perceived risks, trust in messenger service, system quality, trust in platform, and emoticons purchase intention. Findings The findings of this study are as follow. First, perceived benefits and perceived risks had a significant impact on trust in MIM service(e.g. KakaoTalk). Specifically, while perceived benefits had a positive effect on trust in MIM service, perceived risks had a negative effect on trust in MIM service. Second, trust in messenger service also had a positive impact on system quality. Third, trust in messenger service and system quality had a positive effect on trust in platform(e.g. Kakao platform) directly. Lastly, trust in platform had a positive influence on emoticons purchase intention in KakaoTalk messenger.