• Journal of Auto-vehicle Safety Association
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• v.7 no.1
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• pp.40-44
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• 2015

In recent years, WorldSID dummy has been continuously developed and investigated to be a better represent biolfidelic ATD as well as a device for replacement of the current existing EuroSID-2. In Korea, the side impact accident is one of the major severe accidents in terms of numbers of accidents and fatality. Since 2003, 50kph 90degree side crash test has been initiated as a safety standard with EuroSID-1 at the first stage and also same time 55kph impact speed test has been conducted as a part of KNCAP program. Currently only EuroSID-2 is accepted as a regulatory tool for vehicle certification and KNCAP. In order to make use of WorldSID of KNCAP in the distant futuer the tests with WorldSID is conducted experimentally.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1992.10a
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• pp.112-120
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• 1992

The use of Pre-processor for building structural analysis used to rely upon filling up fixed format data, which was ineffective and error-prone. This research attempts to integrate structural analysis system with DBMS and CAD system in order to make it easy to exchange data between pre-process, analysis, and post-process stages. Automatic generation of database from pre-process stage allows easy preparation of main input data for other structural analysis programs. CAD system with some sub-programs written in LISP and C works as a graphic user interface. This approach gives an easy, effective and error-free way of inputing data for structural analysis.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.27-56
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• 2006

Prior to Six Sigma, many companies had adopted a policy management method designed to manage business performances through the top-down deployment of management policies. This policy management method and the Six Sigma CTQ Flow Down will make a good combination when their merits are developed and systemized as the management innovation program which enables to set up innovation targets along with management targets in the stage of strategic planning and to participate all the personnel from top management down in achieving th targets. This paper will help the companies implementing Six Sigma improve their management constitutions and achieve better management performances through the integration of policy management and Six Sigma.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.1
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• pp.63-72
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• 1999

This study proposes an easy method to develope user interfaces for the GIS using OLE automation. In the developing stage of user interface, the most important thing is to make the best use of effective windows programming techniques and component software supporting techniques. Using the OLE automation and Visual Basic programming, the study constructs an user interface as case study which performs map overlaying, referencing attribute tables, graph analysis, drawing up of thematic map.

• KIEAE Journal
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• v.7 no.5
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• pp.127-133
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• 2007

Each year the amount of construction wastes increases at a rapid pace. Particularly, wastes from apartment housing projects that make up 89.14% of the total construction projects have increased about 48% as compared with those of the year 2000. Construction wastes are therefore rising as an issue related to environmental problems and disposal costs. And there are ongoing studies of the disposal, control and recycling of construction wastes. Mitigation measures for the wastes, however, have been a rare subject of research that focuses on waste-generating factors by activity during apartment housing projects. Given that, the purpose of this study was to categorize construction wastes by work type and to identify the factors causing wastes in order to reduce them. This study investigated the amount of the wastes from apartment housing constructions by activity as related to disposal costs, and examined causes in the ordering, transport, material management and construction stage, respectively. The analysis results will likely bring about expectation effects that help reduce the generation of the wastes by establishing action plans.

• Journal of the Semiconductor & Display Technology
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• v.16 no.2
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• pp.61-65
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• 2017

Recently, the interest and research on 360 camera and 360 image production are expanding. In this paper, we describe the feature extraction algorithm, alignment and image blending that make up the feature-based stitching system. And it deals with the theory of representative algorithm at each stage. In addition, the feature-based stitching system was implemented using OPENCV library. As a result of the implementation, the brightness of the two images is different, and it feels a sense of heterogeneity in the resulting image. We will study the proper preprocessing to adjust the brightness value to improve the accuracy and seamlessness of the feature-based stitching system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.60-79
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• 2022

The U-Net architecture-based segmentation models attained remarkable performance in numerous medical image segmentation missions like skin lesion segmentation. Nevertheless, the resolution gradually decreases and the loss of spatial information increases with deeper network. The fusion of adjacent layers is not enough to make up for the lost spatial information, thus resulting in errors of segmentation boundary so as to decline the accuracy of segmentation. To tackle the issue, we propose a new deep learning-based segmentation model. In the decoding stage, the feature channels of each decoding unit are concatenated with all the feature channels of the upper coding unit. Which is done in order to ensure the segmentation effect by integrating spatial and semantic information, and promotes the robustness and generalization of our model by combining the atrous spatial pyramid pooling (ASPP) module and channel attention module (CAM). Extensive experiments on ISIC2016 and ISIC2017 common datasets proved that our model implements well and outperforms compared segmentation models for skin lesion segmentation.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.58-65
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• 2023

Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1248-1251
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• 2011

Web Service technologies make the automation of business activities that are distributed across multiple enterprises possible. Existing extended transaction protocols typically resort to compensation actions to regain atomicity and consistency. A reservation-based transaction protocol is proposed to reduce high compensation risk. However, for a serial long running transaction processing, the resource that is reserved in the early stage may be released due to resource holding time expires. Therefore, our analysis theoretically illustrates a scheduling scheme that tries to prevent the loss of resource holding as well as gain an optimized execution plan with minimum compensation cost. In order to estimate cost of different schedules, we set up a costing model and cost metric to quantize compensation risk.

• Educational Technology International
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• v.24 no.2
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• pp.295-329
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• 2023

The recent development of metaverse-related technology has led to efforts to overcome the limitations of time and space in education by creating a virtual educational environment. To make use of this platform efficiently, applying learning analytics has been proposed as an optimal instructional and learning decision support approach to address these issues by identifying specific rules and patterns generated from learning data, and providing a systematic framework as a guideline to instructors. To achieve this, we employed an inductive, bottom-up approach for framework modeling. During the modeling process, based on the activity system model, we specifically derived the fundamental components of the learning analytics framework centered on learning activities and their contexts. We developed a prototype of the framework through deduplication, categorization, and proceduralization from the components, and refined the learning analytics framework into a 7-stage framework suitable for application in the metaverse through 3 steps of Delphi surveys. Lastly, through a framework model evaluation consisting of seven items, we validated the metaverse learning analytics framework, ensuring its validity.