• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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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.

• Convergence Security Journal
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• v.2 no.2
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• pp.59-66
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• 2002

The access controls are the methods which are generally used in such systems as computer operating systems, workflow systems, information security systems and etc.. In the paper, is proposed a role-based access control model which not only has fundamental security functions such as security, integrity and flow control, but also meets the access control requirements of role-based social organizations. The proposed role-based access control model is designed in order to perform its functions in simple and secure way, largely in the environment of web-based applications.

• Journal of KIBIM
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• v.9 no.1
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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.

• Journal of Korea Multimedia Society
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• v.25 no.6
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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%.

• Journal of KIISE:Software and Applications
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• v.29 no.12
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• pp.907-925
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• 2002

Due to the emersion of J2EE(Java 2, Enterprise Edition), many enterprises inside and outside of the country have been developing the enterprise applications appropriate to the J2EE model. With the help of the component model of Enterprise Java Beans(EJH) which is the J2EE core technology, we can develop the distributed object applications quite simple. EJB application can be implemented by using the component-oriented object transaction middleware and the most applications utilize the distributed transaction. EJB developers can concentrate on the business logic because the EJB server covers the middleware service. Due to these characteristics, EJB technology became popular and then the study for EJB based application has been done quite actively However, the research of metrics for measuring the performance during run-time of the EJB applications has not been done enough. Tn this paper, we explore the workflow for the EJB application service on the run-time and classify the internal operation into several elements. We propose the metrics for evaluating the performance up to the bean level by using the classified elements. First, we analyze the lifecycle according to the bean types which comes from the EJB application on the run-time as to extract each factor used in performance measurement. We also find factors related to a performance and allocate the Performance factors to the metrics as the bean types. We also consider the characteristics like the bean's activation and message passing which happens during bean message call and then analyze the relations of the beans participating in the workflow of the application to make the workflow performance measurement possible. And we devise means to bring performance enhancement of the EJB application using the propose.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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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.

• International conference on construction engineering and project management
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• 2017.10a
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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.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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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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• v.21 no.2
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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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• v.30 no.5
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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.