• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.354-357
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• 1996

Virtual Manufacturing System(VMS) is an integrated computer based model which has physical, logical schema and behavior of real manufacturing system. In this paper, an integrated scheduling system is developed to simulate and control a Virtual Factory. A workflow model is constructed to define and analyze the structure of a VMS. On-line dynamic dispatching system is developed using MultiPass algorithm and scheduling system considering dynamic CAPP is carried out. Integrated scheduling system developed in this paper reduces the discrepancies between virtual model and real manufacturing system, and control of real shop floor is possible.

• 융합보안논문지
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• 제2권2호
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• pp.59-66
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• 2002

접근제어는 컴퓨터 운영체제, 워크플로우 시스템, 정보 보안 시스템 등에서 보편적으로 사용하고 있는 기술이다. 본 논문에서는 보안성 무결성 및 흐름제어 보안 기능을 제공하면서 동시에 직무 중심 조직의 접근 제어 요구를 용이하게 수용할 수 있는 직무 기반 접근 제어 모델을 제안한다. 제안한 접근제어 모델은 주로 웹을 기반으로 하는 응용 시스템에서 간단하면서도 안전한 방법으로 직무 기반 접근 제어를 수행하도록 설계되어있다.

• 한국BIM학회 논문집
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• 제9권1호
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• pp.1-10
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• 2019

In process of creating BIM model for tunnel, many user use still CAD, so the workflow for BIM design is not perfect. Therefore, in this paper, we proposes a method to automatically create BIM model without converting 2D drawings in tunnel design. It can allow engineers to design BIM-based tunnel with maximum use of linear information and modify the BIM model whenever there is changed linear information. To do this, we use Dynamo, which can reduce the time required for creating and modifying BIM models during design changes, saving time wasted for BIM conversion design.

• 한국멀티미디어학회논문지
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• 제25권6호
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• pp.769-782
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• 2022

A study on agricultural automation became more important. In Korea, sweet persimmon farmers spend a lot of time and effort on classifying profitable persimmons. In this paper, we propose and implement an efficient grading algorithm for persimmons before shipment. We gathered more than 1,750 images of persimmons, and the images were graded and labeled for classifications purpose. Our main algorithm is based on EfficientDet object detection model but we implemented more exquisite method for better classification performance. In order to improve the precision of classification, we adopted a machine learning algorithm, which was proposed by PyCaret machine learning workflow generation library. Finally we acquired an improved classification model with the accuracy score of 81%.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권12호
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• pp.907-925
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• 2002

J2EE(Java 2, Enterprise Edition)의 등장으로 국내.외 수많은 기업들이 J2EE의 모델에 맞게 엔터프라이즈 어플리케이션을 개발하고 있다. 이것은 J2EE의 핵심 기술 요소인 Enterprise Jana Beans(EJB)의 컴포넌트 모델이 분산 객체 어플리케이션의 개발을 간단하게 해주기 때문이다. EJB 어플리케이션은 컴포넌트 지향의 객체 트랜잭션 미들웨어를 사용하여 구현되며, 많은 어플리케이션이 분산 트랜잭션을 이용한다. EJB 서버는 이를 위한 미들웨어 서비스를 제공하여 EJB 개발자가 비즈니스 로직에 집중할 수 있도록 한다. 이러한 특징은 EJB 기술을 각광받게 하는 요인이 되었고, EJB 기반의 어플리케이션 개발에 관한 연구가 활발하게 이루어지게 하였다. 그러나 아직은 EJB 어플리케이션 운영 상태에서 성능을 측정하기 위한 메트릭에 대한 연구가 미흡하다. 본 논문에서는 운영 상태의 EJB 어플리케이션에서 서비스를 위한 워크플로우를 살펴보고, 어플리케이션 내부 작업을 여러 요소들로 분류한다. 분류된 여러 요소를 이용하여 빈(Bean) 레벨까지의 성능 측정을 위한 메트릭을 제시한다. 성능 측정에 사용되는 각 요소들을 추출하기 위해 우선 EJB 어플리케이션의 운영 상태에서 발생하는 빈의 종류에 따른 생명주기를 분석하고, 이를 기반으로 성능과 관련된 요인을 추출하여 빈의 종류에 따른 성능 요인을 메트릭에 부여할 수 있도록 한다. 또한 빈 메소드 호출시 발생하는 빈의 활성화와 메시지 전파 등의 특성을 파악하고, 어플리케이션 내에서 워크플로우에 참여하는 빈들 간의 관계를 분석하여 워크플로우에 대한 성능 측정이 가능하도록 한다. 또한 제안된 메트릭을 통하여 EJB 어플리케이션의 성능 향상을 도모할 수 있도록 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2286-2304
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• 2022

Blockchain is a distributed ledger that combines technologies such as cryptography, consensus mechanism, peer-to-peer transmission, and time stamping. The rapid development of blockchain has attracted attention from all walks of life, but storage scalability issues have hindered the application of blockchain. In this paper, a scalable blockchain storage model based on Distributed Hash Table (DHT) and the InterPlanetary File System (IPFS) was proposed. This paper introduces the current research status of the scalable blockchain storage model, as well as the basic principles of DHT and the InterPlanetary File System. The model construction and workflow are explained in detail. At the same time, the DHT network construction mechanism, block heat identification mechanism, new node initialization mechanism, and block data read and write mechanism in the model are described in detail. Experimental results show that this model can reduce the storage burden of nodes, and at the same time, the blockchain network can accommodate more local blocks under the same block height.

• 국제학술발표논문집
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• The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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• pp.201-209
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• 2017

Facade structure system plays an important role in modern architecture and design. Many contractors start using Building Information Modeling (BIM) to help design and lay-out façade walls in recent years. However, there are still some users refuse to accept BIM on façade construction. Therefore, we employed Technology Acceptance Model (TAM) to assess the users acceptable of BIM work flow, with using a practical case of facade construction in Chongqing Wanda City. The factors that will affect the builder's decision of whether using BIM or not when construct façade, and the relationship among them will be found via this model. Through the analysis using TAM, this research found that the direct factors influencing the completely acceptance of BIM in façade construction is the BIM quality and Result Demonstrating, and the parameter impacting the intuition engendering is the Exterior Condition. Therefore, this paper proposes a more systemic model of BIM acceptance in curtain wall to analyze the user's acceptance. The solution can also offer a reference for future research and construct on façade structure. The acceptance model has the significance that it can help to analyze the reason why users refuse to use BIM in façade construction, thus to help users accept BIM.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2000년도 추계학술발표논문집 (상)
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• pp.35-38
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• 2000

본 논문에서는 기존의 워크플로우 모델을 바탕으로 역할을 기반으로 하는 새로운 개념의 모델을 제안하였으며, 이에 따른 워크플로우 업무 관리 시스템의 설계 및 구축 분야에서 역할 중심 업무 분산 체계(role oriented distribution)에 필요한 이론적 바탕을 마련하기 위한 역할 기반 모델(role based model)의 개념을 정의하고, 정의된 모델을 전형적 업무 관리 시스템인 워크플로우에 적용하였다. 본 논문에서 제시되어진 역할 기반 워크플로우 모델은 선택 할당(any-cast)방식 및 다중 할당(multi-cast)방식의 워크플로우 작업환경을 제공함으로써 현재 대부분 조직에서의 작업 환경인 객체지향 작업 환경 및 분산 작업 환경에서 워크플로우 관리 시스템을 구축할 수 있다.

• Journal of information and communication convergence engineering
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• 제21권2호
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• pp.152-158
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• 2023

In recent years, as computer-generated imagery has been applied to more industries, realistic facial animation is one of the important research topics. The current solution for realistic facial animation is to create realistic rendered 3D characters, but the 3D characters created by traditional methods are always different from the actual characters and require high cost in terms of staff and time. Deepfake technology can achieve the effect of realistic faces and replicate facial animation. The facial details and animations are automatically done by the computer after the AI model is trained, and the AI model can be reused, thus reducing the human and time costs of realistic face animation. In addition, this study summarizes the way human face information is captured and proposes a new workflow for video to image conversion and demonstrates that the new work scheme can obtain higher quality images and exchange effects by evaluating the quality of No Reference Image Quality Assessment.

• Smart Structures and Systems
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• 제30권5호
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• pp.501-511
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• 2022

Three-dimensional (3D) models have become crucial for improving civil infrastructure analysis, and they can be used for various purposes such as damage detection, risk estimation, resolving potential safety issues, alarm detection, and structural health monitoring. 3D point cloud data is used not only to make visual models but also to analyze the states of structures and to monitor them using semantic data. This study proposes automating the generation of high-quality 3D point cloud data and removing noise using deep learning algorithms. In this study, large-format aerial images of civilian infrastructure, such as cut slopes and dams, which were captured by drones, were used to develop a workflow for automatically generating a 3D point cloud model. Through image cropping, downscaling/upscaling, semantic segmentation, generation of segmentation masks, and implementation of region extraction algorithms, the generation of the point cloud was automated. Compared with the method wherein the point cloud model is generated from raw images, our method could effectively improve the quality of the model, remove noise, and reduce the processing time. The results showed that the size of the 3D point cloud model created using the proposed method was significantly reduced; the number of points was reduced by 20-50%, and distant points were recognized as noise. This method can be applied to the automatic generation of high-quality 3D point cloud models of civil infrastructures using aerial imagery.