• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.61-78
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• 2023

Ontological knowledge modelling of epic texts, though being an established research arena backed by concrete multilingual and multicultural works, still suffers from two key shortcomings. Firstly, all epic ontological models developed till date have been designed following ad-hoc methodologies, most often combining existing general purpose ontology development methodologies. Secondly, none of the ad-hoc methodologies consider the potential reuse of existing epic ontological models for enrichment, if available. This paper presents, as a unified solution to the above shortcomings, the design and development of GOMME - the first dedicated methodology for iterative ontological modelling of epics, potentially extensible to works in different research arenas of digital humanities in general. GOMME is grounded in transdisciplinary foundations of canonical norms for epics, knowledge modelling best practices, application satisfiability norms, and cognitive generative questions. It is also the first methodology (in epic modelling but also in general) to be flexible enough to integrate, in practice, the options of knowledge modelling via reuse or from scratch. The feasibility of GOMME is validated via a first brief implementation of ontological modelling of the Indian epic Mahabharata by reusing an existing ontology. The preliminary results are promising, with the GOMME-produced model being both ontologically thorough and competent performance-wise.

• Journal of Astronomy and Space Sciences
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• v.31 no.3
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• pp.265-276
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• 2014

The application of software engineering is not common in the development of astronomical observation system. While there were component-wise developments in the past, large-scale comprehensive system developments are more common in these days. In this study, current methodologies of development are reviewed to select a proper one for the development of astronomical observation system and the result of the application is presented. As the subject of this study, a project of operation software development for an astronomical observation system which runs on the ground is selected. And the output management technique based on Component Based Development which is one of the relatively recent methodologies has been applied. Since the nature of the system requires lots of arithmetic algorithms and it has great impact on the overall performance of the entire system, a prototype model is developed to verify major functions and performance. Consequently, it was possible to verify the compliance with the product requirements through the requirement tracing table and also it was possible to keep to the schedule. Besides, it was suggested that a few improvements could be possible based on the experience of the application of conventional output management technique. This study is the first application of the software development methodology in the domestic astronomical observation system area. The process and results of this study would contribute to the investigation for a more appropriate methodology in the area of similar system development.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.3
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• pp.1-15
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• 2008

The paper discusses application of soft OR methodologies, which have been developed for last decades centered in European OR communities, to strategy formation process. It is shown that there is strong similarity in understanding of strategy formation between descriptive school of strategy and the research trend of soft OR. The focus and philosophical background of cognitive school of strategy, in particular, share much in common with soft OR school. The analysis and overview of several soft OR methodologies are introduced. It is also proposed that SODA can be utilized more directly to the strategy formation process. However, it is also noted in this paper that the epistemological issues should be considered and resolved for fluent investigation of soft OR methodologies in relation with existing rich strategic research works, for soft OR adopts interpretative research methods while strategy research generally lies on positivistic approaches.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.4B no.4
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• pp.170-179
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• 2004

The paper presents technical issues which integrated sensors must address to be implemented in the next generation of power electronics and motor drives. The underlying goal of the sensor integration will be to improve reliability of power conversion systems while making the power converter and motor drive become the primary source of diagnostic signals for the application. The paper focuses on design methodologies that will allow this integration to succeed in meeting the technical demands for both reliability and for application level diagnostics.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.783-793
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• 2019

Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.4
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• pp.13-23
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• 2013

Steven Holl is outstanding architect who has been applied his phenomenological thinking to his works. he has been reported that he had adhered to focus his interest on coherent phenomenological theme and sublimated his architectural concept succesfully. This study focuses on relationship how phenomenological concept has common ground with architectural parts and with the study on phenomenological application methodology of architectonics of Steven Holl. In the case of Holl, with the theme of sense and flesh, he molds phenomenologically sensitive space. His works contains coherent phenomenolgical concepts such as distrust of rationality, synthesis of consciousness, and qeustions of perception. The Methodologies of connection with environment(nature or bridge), regional values, placeness, light and time are considered in his works(books and architectural works) as anchoring, interwining and parallax for phenomenological process in his concepts. His methodologies of enlisted works contain many valuable concepts of phenomenological intuition and would be applicable to contemporary and future architecture for humanism.

• Journal of Climate Change Research
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• v.7 no.3
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• pp.283-288
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• 2016

In this study, applicability of GHG ETS Offset Program in Korea for a refrigerant sector was analyzed by reviewing foreign management policy and project status in progress related to refrigerants in the disposal stage. In order to derive the implication of the domestic Offset Program, it was looked into approved offset projects and certified offset credits current state in Korea. Offset Program has approved 22 methodologies up to the present, so it is necessary to enhance the accessibility to GHG reduction in various industrial sector including the refrigerant sector by developing appropriate methodologies. In this study firstly, it was investigated that management regulation of countries are managing the refrigerants in the disposal stage such as United States, Japan, Australia. Secondly, of CDM methodologies there were two methodologies associated with the refrigerant reduction(treatment), which were decomposition HFC-23 and destruction of HFC-134a. Also there were a non-registered methodology about destruction of HFC-134a of end of life vehicles. Lastly, in California according to Compliance Offset Program, there was Compliance Offset Protocol in ODS Projects that provided eligible conditions. Based on the review, it was examined the possible conditions for domestic offset project for refrigerant sector

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.19-52
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• 1996

It has been argued theoretically and empirically that the analysis of business processes requires the decomposition of an integrated system. However, in order to innovate a business process, cognitive integration activities that try to understand the decomposed features of the business process as an integrated system are essential. This research aims at 1) empirically investigating the cognitive process of integrating multiple diagrams while using object-oriented methodologies in process modeling ; 2) identifying a cognitive integration strategy that supports the successful comprehension of business processes with the use of multiple diagrams ; and 3) proposing guidelines for developing supporting tools for effective business process engineering by using object-oriented process modeling.

• Journal of Electrical Engineering and Technology
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• v.6 no.2
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• pp.202-207
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• 2011

Numerous methodologies have been developed in an effort to reduce cogging torque. However, most of these methodologies have side effects that limit their applications. One approach is the optimization methodology that determines an optimized design variable within confined conditions. The response surface methodology (RSM) and the genetic algorithm (GA) are powerful instruments for such optimizations and are matters of common interest. However, they have some weaknesses. Generally, the RSM cannot accurately describe an object function, whereas the GA is time consuming. The current paper describes a novel GA and RSM hybrid algorithm that overcomes these limitations. The validity of the proposed algorithm was verified by three test functions. Its application was performed on a surface-mounted permanent magnet.

• Asia pacific journal of information systems
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• v.9 no.3
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• pp.47-73
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• 1999

Nowadays, the modeling of information systems have been enabled by various models and methodologies that are used for different purposes and perspectives upon the systems. The integrated modeling methodology that integrates these models and methodologies has become important concerns in system integration such as CIM and PDM. The primary objective of this paper is to propose a comprehensive integrated modeling methodology that integrates the OOIDEFO function model, OOIDEFO information model, node model, user interface model, and organization model for an effective analysis, design and implementation for system integration. This methodology covers the generic requirements of modeling methodology such as graphical notations, modeling processes, and abstraction mechanisms. Also, this methodology uses an 00 paradigm throughout the entire systems development life cycle. In order to prove the consistency and efficiency of the proposed methodology, the CIMS for ship production is modeled and prototyped.