• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.379-384
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current monitoring process of business activities decides whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Also, warnings are applied by carrying out the measuring process when the event attribute values are inserted at every point. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be ed. Also, since it is difficult to expand the range of problems which can be possibly evaluated, it is impossible to evaluate any unexpected situation which could occur in the execution period. In this paper, a process-evaluating model based on the goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the goal scenario for the process activities. Also, by using the meta-heuristic algorithm, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.113-128
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• 2021

In the rapidly developing 4th industrial revolution. RPA is increasing in use at home and abroad due to its advantages of simplifying workflow and providing flexibility and scalability at the same time. Thus, this paper conducted an empirical study on companies using RPA to determine which factors affect the intention to use the services provided by RPA systems. As system characteristics, exogenous variables were selected as information quality, system quality, and service quality of the information system success model. The endogenous variables were selected as the system acceptance factors for the performance and effort expectancy of the integrated technology acceptance model, and the perceived economic values and functional values were additionally selected. For the purpose of this study, a structured questionnaire was used for empirical analysis and the proposed hypothesis was verified through the path analysis of structural equations. As a result of the study, there was no significant relationship between service quality and effort expectancy, between service quality and economic value, and it was verified that the relationship between other factors was positively significant.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.904-919
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• 2019

Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. These security solutions can be easily manipulated by malicious users who can gain unlawful access. Some security systems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints with clay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require any special training on the part of the user. In this paper, we propose a multi-factor security framework that operates in a three-step process to authenticate the user. The motivation of the research lies in utilizing commonly available and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fully secure user authentication. We have used technologies such as Argon2 for hashing image features and physically unclonable identification for secure device-server communication. We also discuss the methodological workflow of the proposed multi-factor authentication framework. In addition, we present the service scenario of the proposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-art methods to evaluate the usability of the model in real-world applications.

• Progress in Medical Physics
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• v.32 no.4
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• pp.172-178
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• 2021

Purpose: This study aimed to develop a deep learning architecture combining two task models to generate synthetic computed tomography (sCT) images from low-tesla magnetic resonance (MR) images to improve metallic marker visibility. Methods: Twenty-three patients with cervical cancer treated with intracavitary radiotherapy (ICR) were retrospectively enrolled, and images were acquired using both a computed tomography (CT) scanner and a low-tesla MR machine. The CT images were aligned to the corresponding MR images using a deformable registration, and the metallic dummy source markers were delineated using threshold-based segmentation followed by manual modification. The deformed CT (dCT), MR, and segmentation mask pairs were used for training and testing. The sCT generation model has a cascaded three-dimensional (3D) U-Net-based architecture that converts MR images to CT images and segments the metallic marker. The performance of the model was evaluated with intensity-based comparison metrics. Results: The proposed model with segmentation loss outperformed the 3D U-Net in terms of errors between the sCT and dCT. The structural similarity score difference was not significant. Conclusions: Our study shows the two-task-based deep learning models for generating the sCT images using low-tesla MR images for 3D ICR. This approach will be useful to the MR-only workflow in high-dose-rate brachytherapy.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.129-135
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• 2022

Real human digital models appear more and more frequently in VR/AR application scenarios, in which real-time markerless face capture animation of personalized virtual human faces is an important research topic. The traditional way to achieve personalized real human facial animation requires multiple mature animation staff, and in practice, the complex process and difficult technology may bring obstacles to inexperienced users. This paper proposes a new process to solve this kind of work, which has the advantages of low cost and less time than the traditional production method. For the personalized real human face model obtained by 3D reconstruction technology, first, use R3ds Wrap to topology the model, then use Avatary to make 52 Blend-Shape model files suitable for AR-Kit, and finally realize real-time markerless face capture 3D real human on the UE4 platform facial motion capture, this study makes rational use of the advantages of software and proposes a more efficient workflow for real-time markerless facial motion capture of personalized 3D real human models, The process ideas proposed in this paper can be helpful for other scholars who study this kind of work.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.634-639
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• 2013

The aim of the study is to develop the 3D visualization of Building Information Model and integrated 4D model for optimization of resources in the construction project. This study discuss the process of methodology and creation of 4D model of the project and simulate it to monitor the workflow at the site. Different stages of the construction process and activities are generated by using Revit and MS Project. MS project has been used for creation of the schedules and these are linked with the Revit for 3D modeling. The time used as the fourth dimension and 4D model created by using Navisworks Time liner software. Narges shopping center is presented as a case study to realize the actual uses and benefits of Building Information Model (BIM). Narges shopping mall is located in Tehran, Iran. As a part of Hekmat master plan, Narges shopping center is an 11 stores building with a total area of 30000 Sq.m. This shopping and entertainment center is comprised of 150 retails and two multi-use public halls with a capacity of 400 persons each and underground parking with total 400 parking space. The main purpose of architecture was to create an urban public center along with its revolving, spiral like form and an ever changing continuous façade by means of different colors, materials, which is in harmony with the other building of the master plan. The approximate cost of the project is $17 million and duration of the project schedule is 30 months. The developed Building Information Model enabled us to identify the potential collisions or clashes between various structural and architectural systems. 4D model has been used for limiting the interaction between subcontractors installing the different systems so rework could be avoided and productivity maximized. It is also observed that the utility of BIM for construction stimulation and clash detection is the best suitable method. Clash detection before the implementation of work is highly recommended to avoid rework.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.1012-1014
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• 2005

워크플로우 시스템은 복잡한 복수의 작업을 사용자가 작성한 작업 플로우에 따라 자동으로 수행시킴으로써 작업의 효율성을 높이고자 하는 시스템이다. 특정 작업의 능률을 향상시키기 위한 목적으로 많은 연구기관에서 자체적인 워크플로우 시스템을 연구하고 있다. 이렇게 개발된 워크플로우 시스템은 각 연구기관에서 목적으로 하는 특정 작업 환경의 특성을 반영하는 시스템이지만 특정 작업이나 환경에 종속적인 특성을 가진다. 따라서 작업 환경이 확장 혹은 변경된다면 워크플로우 시스템도 수정하거나 처음부터 다시 개발해야 한다. 따라서 본 논문에서는 특정 작업이나 환경에 종속적인 워크플로우 시스템의 문제점을 해결하기 위한 방법으로 응용 프로그램 및 실행 환경에 독립적인 워크플로우 시스템 모델을 제안한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.726-729
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• 2004

본 논문은 최근 실시간 기업(RTE: Real-Time Enterprise)의 구현도구로 각광을 받고 있는 BPM(Business Process Management)을 위한 새로운 모니터링 기법을 소개한다. 본 논문의 방법론은 기존의 프로세스 모니터링 서비스의 한계를 극복하고 개인에 따라 차별화된 모니터링 환경을 제공한다. 제시된 모형은 모니터링 객체(monitoring objects), 분석기법(analysis methods), 표현 양식(presentation styles), 모니터링 이벤트(audit events)의 네 가지 축에 따라 모니터링 구성 요소들을 분해하고, 분해된 개별 단위들을 사용자가 자유롭게 조합하여 모니터링 서비스를 구성할 수 있도록 한다. 이는 기업의 경영자가 실시간으로 경영성과를 확인하도록 하고 추후의 경영활동에 반영하도록 하는 실시간 기업의 환경을 구축하도록 한다.

• Korean Journal of Computational Design and Engineering
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• v.13 no.1
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• pp.27-35
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• 2008

Digital Virtual Manufacturing is a technology facilitating effective product developments and agile productions via digital models representing the physical and logical schema and the behavior of real manufacturing systems. A digital virtual factory as a well-designed and integrated environment is essential for successful applications of this technology. In this research, we construct a sophisticated digital virtual factory for the section steel shop in a Korean shipbuilding company by 3-D CAD and virtual manufacturing simulation. The NIST-AMRF CIM hierarchical model and workflow analysis using IDEF methodology are also applied. This digital virtual factory can be applied for diverse engineering activities in design, manufacturing and control of the real factory, and improvements in quality of engineering and savings in time from design to production in shipbuilding are possible.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.613-615
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• 2003

최근, 인터넷이라는 개방형 네트워크가 보편화 되면서 인터넷을 매게로 한 전자적인 거래의 형태가 기업 대 소비자(B2C) 거래에서부터 기업 대 기업(B2B) 거래 그리고 기업 대 정부(B2G) 거래까지 다양하게 발전하고 있다. 본 논문에서는 WfMC에서 제시하는 표준을 준수하면서 동시에 워크플로우 시스템의 사용자인 프로세스 설계자 그리고 워크플로우 프로세스 참여자 모두에게 쉬운 인터페이스를 제공할 수 있는 워크플로우 시스템의 아키텍처 및 모델을 제시한다. 본 모델은 P2P기반의 현실적인 대안을 위해서 설계되었으며, 기존 연구에서 가볍게 취급되어 왔던 워크플로우 시스템 사용자를 위한 인터페이스를 고려하여 설계되었다.