• The Journal of the Korea Contents Association
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• v.4 no.4
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• pp.45-51
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• 2004

The number of development in educational software is currently decreasing despite rapid improvement in computer technology. This is partly due to the fact that the current software relies on the conventional hypermedia method or on the hierarchical method, both of which have inherent limitations. To compensate their limitations while keeping their merits, a hybrid method called the structured hypermedia link method has recently been proposed in the literature. It has been found that the structured hypermedia link method is far superior than the conventional methods in terms of educational effectiveness because it can help a learner to search various data by navigating between the study topics on his own while maintaining his level of cognitively overloaded stress to the minimum. The clinical microbiology laboratories were chosen as the candidate site for this study because its educational system has not been standardized and has been relying heavily on the personal experience. In this study, the hypermedia link method was applied to the development of an education system for the image analysis in clinical microbiology laboratories. For this purpose, a web-based computer aided instruction(CAI) program was designed to systematically organize the Gram stain method based on the standardized image data. In the future, CAI program must be intended to educate for beginner and developed to accept for variable knowledge. And it will be useful program for technicians in case of applying various examinations based Gram stain method of this study.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.86-98
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• 2021

In this study, we developed a simulation model for supply chain management of Precast Concrete (PC) based construction. To this end, information on the Factory Production/Site Construction system was collected through literature review and field research, and based on this information, a simulation model was defined by describing the supply chain, entities, resources, and processes. Next, using the Arena simulation software, a simulation model for the PC supply chain was developed by setting model frameworks, data modules, flowchart modules, and animation modules. Finally, verification and validation were performed using five review methodologies such as model check, animation check, extreme value test, average value test, and actual case test to the developed model. As a result, it was found that the model adequately represented the flows and characteristics of the PC supply chain without any logical errors and provided accurate performance evaluation values for the target supply chains. It is expected that the proposed simulation model will faithfully play a role as a performance evaluation platform in the future for developing management techniques in order to optimally operate the PC supply chain.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Journal of Korea Water Resources Association
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• v.52 no.8
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• pp.515-529
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• 2019

Geospatial information for river network and watershed boundary have played a fundamental roles in terms of river management, planning and design, hydrological and hydraulic analysis. Irrespective of their importance, the lack of punctual update and improper maintenance in currently available river-related geospatial information systems has revealed inconsistency issues between individual systems and spatial inaccuracy with regard to reflecting dynamically transferring riverine geography. Given that digital elevation models (DEMs) of high spatial resolution enabling to reproduce precise river network are only available adjacent to national rivers, DEMs with poor spatial resolution lead to generate unreliable river network information and thereby reduce their extensible applicabilities. This study first of all evaluated published spatial information available in Korea with respect to their spatial accuracy and consistency, and also provides a methodology and tool to modify existing low resolution of DEMs by means of striation of conventional or digitized river network to replicate input river network in various degree of further delineation. The tool named FSND was designed to be operated in ArcGIS ModelBuilder which ensures to automatically simulate river network striation to DEMs and delineation with different flow accumulation threshold. The FNSD was successfully validated in Seom River basin to identify its replication of given river network manually digitized based on recent aerial photograph in conjunction with a DEM with 30 meter spatial resolution. With the derived accuracy of reproducibility, substantiation of a various order of river network and watershed boundary from the striated DEM posed tangible possibility for highly extending DEMs with low resolution to be capable of producing reliable riverine spatial information subsequently.

• Journal of Korea Multimedia Society
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• v.8 no.3
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• pp.398-412
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• 2005

There is an increasing interest in migration legacy systems to new hardware platforms and to new software development paradigms. The reason is that high maintenance costs and lack of documentation. In order to migrate or transform legacy system, various approaches such as screen scrapping, wrapping, semi-development, and re-development, tools, and methodologies are introduced until now. However, architecture or requirements level's transformation is not suggested because most of those approaches focus on code-level transformation or a few model-level transform. In this paper, we suggest a meta-model driven approach applying 3D space concept, which can be applied into architecture and requirement phase. Proposed integrated model drives seamless migration or co-evolution from code to architecture of reverse engineering and from architecture to code of forward engineering.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1136-1144
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• 2011

SW-based service model is considered strategic industry in the advancement of national economic development. Also SW-based service model has Public Interest and Profitability, it should be conducted assessment considering both sides of private and public reflection. To obtain the goal of this research, firstly, based on broadly reviewing previous literature and logical reasoning in business model evaluation and feasibility of public business. Secondly, derived SW-based service model's feature through a group of experts to analyze. And AHP(Analytic Hierarchy Process) is adopted in developing the influential factors (indexes) for the profitability of each SW-based service model and the weight score of each factor. In the result, We suggested 5 evaluation areas, and 15 evaluation items reflecting private business model, public business evaluation and SW-based service model feature. The findings of this study are thought to be useful as a practical guideline in performing evaluating the SW-based service model for private and public sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.494-500
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• 2020

Owing to the complexity of shapes and elements, some difficulties are found in the modeling and sharing phases in a project at the earlier design stages. This paper extends the boundaries by suggesting the data interoperability between 3D modeling software, McNeel Rhino 3D and BIM system, and Autodesk® Revit® Architecture. The main research methodology is to link the architectural form data in the NURBS supporting the 3DM format, especially for integrating surface properties into the mass family template of Revit. This algorithm-driven interoperability approach using visual programming, such as Dynamo in conjunction with Autodesk®, can be applicable in a theoretical part and also a practical use-case. This paper summarizes these results as sequence guidelines and project template recommendations suggesting an efficient design process to interoperate geometric data with the BIM system to manipulate and control the regular and curved form of office buildings.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.3
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• pp.215-220
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• 2018

This paper limited the participation of large corporations in the mass information market by revising the Software Industry Promotion Act in order to increase business opportunity, equality of opportunity, and capacity building for small and medium sized IT companies. However, it is a fact that the medium and small SW companies have insufficient business capacity and expose various problems such as quality degradation of public information business, inadequate risk management, and deterioration of schedule management. In order to solve this problem, this paper derived the factors of quality deterioration in the system integration project and proposed to carry out the project by using some activities of VISUALIZATION, rigorous test management and Agile Methodology as a solution. Applying these measures to healthcare IT projects developed by midsize / small-sized IT companies has improved communications, improved quantitative progress management and improved project visibility. In addition, it contributed to minimizing defect resolution time, improving the requirement coverage ratio, and shortening unnecessary meeting time.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.42 no.2 s.332
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• pp.31-40
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• 2005

The Multi-Threshold CMOS (MTCMOS) technology provides a solution to the high performance and low power design requirements of mobile computing applications. In this paper, we (i) motivate the post-mask-tooling performance enhancement technique combined with the MTCMOS leakage current suppression technology, and (ii) develop a practical MTCMOS ASIC design methodology which fine-tunes and integrates best-in-class techniques and commercially available tools to fix the new design issues related to the MTCMOS technology. Towards validating the proposed techniques, a Personal Digital Assistant (PDA) processor has been implemented using the methodology, and a 0.18um Process. The fabricated PDA processor operates at 333MHz which has been improved about $23\%$ at no additional cost of redesign and masks, and consumes about 2uW of standby mode leakage power which could have been three orders of magnitude larger if the MTCMOS technology was not applied.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.285-292
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• 2007

SoC which deploys software modules as well as hardware IPs on a single chip is a major revolution taking place in the implementation of a system design, and high-level synthesis is an important process of SoC design methodology. Recently, SPARK parallelizing high-level synthesis software tool has been developed. It takes a behavioral ANSI-C code as an input, schedules it using code motion and various code transformations, and then finally generates synthesizable RTL VHDL code. Although SPARK employs various loop transformation algorithms, the synthesis results generated by SPARK are not acceptable for basic signal and image processing algorithms with nested loop. In this paper we propose a SoC platform with an application-specific PLD targeting local operations which are feature of many loop algorithms used in signal and image processing, and demonstrate design process which maps behavioral specification with nested loops written in a high-level language (ANSI-C) onto 2D systolic array. Finally the derived systolic array is implemented on the proposed application-specific PLD of SoC platform.