• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.345-349
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• 2004

·Emerging requirements for EC environments ： -At eun-time： Dynamic process composition with various networked resources, i.e., application or participants -At build ＆ maintenance time： Agile technical enhancements. e.g., evolution in standards · Open issues of WfMS(Bussler, 1999： Sayal et al., 2002)： -Heterogeneity ＆ interoperability -Adaptability and flexibility(omitted)

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.10
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• pp.763-774
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• 2019

A collaborative system supports collaboration among participants by providing functions such as group composition and management of data shared for collaboration. In recent years, research on collaborative services based on the blockchain technology has been done to guarantee the reliability of collaboration processes and outcomes. The diversity of the application domains in which collaborations are performed and the various characteristics of the participants in the collaboration group naturally leads to various forms of collaborative processes. In order for these processes to produce the desired outcome of the collaborative efforts, it is desirable to specify the appropriate collaborative process in advance, so that the participants can understand and agree on the process, carrying out the collaboration. In this paper, we propose a method to control flexible collaborative processes according to workflow specifications in the Ethereum-based collaborative service environment. The specification of the workflow for the designated task is stored in the Ethereum smart contract and the process of performing the task is controlled according to the stored workflow specification. For this, we introduce JSFlow which is a simple workflow specification method using JSON and an Ethereum library to utilize it.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.259-264
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• 2007

To efficiently utilize an e-Science application service which is built on a grid computing environment, it is vital to develop technologies for integrating each e-Science application services into a workflow and for executing the workflow on a cooperative environment. In this paper, we analyze the requirements of e-AIRS system, one of the e-Science environment of aerospace research community. From the requirement analysis, we propose the required functionality and the architecture of e-Science workbench for effective utilization of e-Science services on cooperative environment.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.270-276
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• 2009

This paper outlines opportunities and challenges in the Implementation of BPEL based WFMS(Work Flow Management System) for the MES(Manufacturing Execution Systems) level in semiconductor manufacturing. At present, the most MES that are composed of several hundreds of applications in semiconductor wafer fabrication shop have the same problems as others about flexibility and adaptability. When a plant has to produce new product mix, remodel the manufacturing execution process, or replace obsolete equipments, the principal road blocks for responding to new manufacturing environment are inflexible communication infrastructure among the manufacturing process components and the difficulty in porting existing application software to new configurations. In this paper, the issues about BPEL standard, used for the flexibility of Workflow Management System, are presented. We introduce the integrated development framework named nanoFlow which is optimized for developing the BPEL based WFMS application for automated manufacturing system. We describe a WFMS implemented with using nanoFlow framework, review and evaluate the system in terms of flexibility and adaptability.

• Nuclear Engineering and Technology
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• v.52 no.10
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• pp.2262-2273
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• 2020

Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.

• IE interfaces
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• v.21 no.4
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• pp.435-443
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• 2008

RFID (Radio Frequence Identification) is emerging technology and it is used for many fields. The research about RFID has been focused on hardware such as increasing hitting ratio. But recently the research about how and where RFID can apply is going on. Especially people are doing research about connecting RFID with existing information system. In this paper, when BPM manage RFID based manufacturing operation process, we show components which is needed and how we can obtain the components. And we apply this to straw manufacturing process on experiment. The claim-handling process and order-handling process which need improvement in straw manufacturing are chosen and we improve those processes. For executing the improved process, we define components which are database, data acquisition workflow and real-time event processing system and then we make prototype system.

• The Journal of Society for e-Business Studies
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• v.8 no.1
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• pp.15-33
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• 2003

A business process is classified into two processes; the private process which is implemented within an enterprise and the public process which is implemented between enterprises. The public process commonly used for B2B e-business is defined as a collaborative business process. To date, the collaborative business process has been studied in various aspects. We have categorized the research trends into two viewpoints, i.e., EAI(Enterprise Application Integration) and B2Bi (business to business Integration). In this paper, research trends in inter-organizational workflow are analyzed from the EAI point of view, and research trends in message-based business process and transactions from the B2Bi point of view.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.554-562
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• 2007

This study determined tact process paths by separating the finish works according to the properties of work areas and work relations in order to apply the tact schedule management to the finish works. In addition, by suggesting preparing and sharing the workflow charts, the experiments can be shared between the executors and any possible frictions between the specialist works can be identified in advance. In addition, any errors on the plan can be reviewed and modified through the measurement stage of tact plan attainment rate. The process of tact schedule management is improved with such tools and methods and the efficiency of the process through the application of cases was verified.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.529-539
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• 2003

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 JavaBeans (EJB) 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. 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 techniques for the performance monitoring during run-time of the EJB applications has not been done enough. In this paper, we propose the techniques for monitoring the performance of EJB Application on the run time. First, we explore the workflow for the EJB application service and classily the internal operation into several elements. The proposed techniques provide monitoring the performance elements between the classified elements. We can also monitor by extracting the performance information like state transition and process time of the bean which is related to the lifetime occurred during one workflow, and the resource utilization rate.

• Geophysics and Geophysical Exploration
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• v.21 no.2
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• pp.103-111
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• 2018

The recent research aim of seismic trace interpolation is to effectively interpolate the data with spatial aliasing. Among various interpolation methods, the Matching Pursuit interpolation, that finds the proper combination of basis functions which can best recover traces, has been developed. However, this method cannot interpolate aliased data. Thus, the multi-component Matching Pursuit interpolation and moveout correction method have been proposed for interpolation of spatially aliased data. It is difficult to apply the multi-component Matching Pursuit interpolation to interpolating the OBC (Ocean Bottom Cable) data which is the multi-component data obtained at the ocean bottom because the isolation of P wave component is required in advance. Thus, in this study, we dealt with an effective single-component matching Pursuit interpolation method in OBC data where P-wave and S-wave are mixed and spatial aliasing is present. To do this, we proposed the Ricker wavelet based single-component Matching Pursuit interpolation workflow with moveoutcorrection and systematically investigated its effectiveness. In this workflow, the spatial aliasing problem is solved by applying constant value moveout correction to the data before the interpolation is performed. After finishing the interpolation, the inverse moveout correction is applied to the interpolated data using the same constant velocity. Through the application of our workflow to the synthetic OBC seismic data, we verified the effectiveness of the proposed workflow. In addition, we showed that the interpolation of field OBC data with severe spatial aliasing was successfully performed using our workflow.