• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.103-109
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• 2001

Soft sensor is an effective method to deal with the estimation of variables, which are difficult to measure because of the reasons of economy or technology. Fuzzy logic system can be used to develop the soft sensor model by infinite rules, but the fuzzy dividing of variable sets is a key problem to achieve an accurate fuzzy logic model, In this paper, we proposed a new method to develop soft sensor model based on fuzzy neural network. First, using a novel method to divide the variable fuzzy sets by the process input and output data. Second, developing the fuzzy logic model based on that fuzzy set dividing. After that, expressing the fuzzy system with a fuzzy neural network and getting the initial soft sensor model based FNN. Last, adjusting the relative parameters of soft sensor model by the BP learning method. The effectiveness of the method proposed and the preferable generalization ability of soft sensor model built are demonstrated by the simulation.

• Journal of Korean Public Health Nursing
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• v.7 no.1
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• pp.17-29
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• 1993

Nursing centers are nurse-managed organizations that give the client direct access to professional nursing services. Academic nursing centers are faculty-created and -organized nursing centers integrated into nursing school or cooperated with community nursing center. Academic nursing centers are needed for providing services to the forgotten or underserved populations in the community, providing learning opportunities for nursing students and practice opportunities for faculties. The intent of this study is to identify the elements needed in developing process and operations of acedemic nursing center for elderlies and the disabled, and to present the desired model for academic nursing center. The processes of my study were : 1) The articles of the academic nursing centers in U. S. were reviewed and analysed. 2) The academic nursing center for elderlies and the disabled was developed and operated in my paper. 3) Desired model for academic nursing center was presented in my paper. The followings are the results of my study: 1. Elements needed in developing process of academic nursing center were philosophy and goals, the community support, assessment of the validity of the service and health needs, identification of the service contents, roles and responsibilities, communication lines, finances for facilities and operations, cooperation with resources, and developing record system. 2. Elements needed in operations of academic nursing center were the structural organizations, realization of the above philosophy and goals, development of policy and nursing standards, faculty participation, continuity of services, and financial solutions. 3. The desired model was presented according to the process and operations.

• Solar Energy
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• v.15 no.3
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• pp.91-103
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• 1995

Non-gray radiation with convection in the entrance region of a smooth tube is numerically investigated. The fluid is a mixture of carbon dioxide, water vapor, and nitrogen to simulate combustion products of propane. The flow is assumed to be laminar and hydrodynamically and thermally developing. The P-1 approximation is used to simplify the radiative transfer equation and the exponential wide band model is adapted to model the spectral absorption coefficients of non-gray gas mixture. The bulk mean temperature and Nusselt number variation along the tube axis are shown for several inlet and wall temperature pairs to show the effect of temperature on the heat transfer characteristics. Nusselt numbers for simultaneously developing flow are compared to those for thermally developing flow. In addition, the effect of the mole fraction of the non-gray gases on convective and radiative Nusselt numbers is investigated.

• The Korean Journal of Archival Studies
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• no.41
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• pp.3-38
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• 2014

This study aims to propose a model for developing participatory labor archives as locality ones. First, it proceeded the literature reviews and expert interviews, so that revealed the needs for participations in building labor archives, participating agents/agencies and the type of participation, especially in industrial labor archives. After examining domestic and foreign labor archives, the way of participation was analysed. Based on the analysis the model for developing participatory labor archives in terms of the principles, the procedure and the participation methods were proposed.

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.51-78
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• 2009

Nowaday, management of research and development(R&D) projects is focused on promotion of performance-centric R&D by market and customer-oriented R&D and commercialization, and this tendency is also appeared in national R&D projects. For the commercialization of R&D outcomes, market demand-centric R&D, establishment of commercialization plan in R&D planning and carrying out phase, and communication with external stakeholders are needed, and these activities can be performed more effectively by developing business model. However, systematical procedure for developing business model in national R&D environment haven't suggested by prior researches. Therefore, we propose a business model development system that is reflect characteristics of national R&D environment and perspectives of technology researchers and commercialization experts. Research result is expected to be usefully applied as a guideline for developing business model in national R&D projects.

• Science of Emotion and Sensibility
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• v.6 no.1
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• pp.17-26
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• 2003

With rapid expansion in e-retailing of apparel business, the virtual fitting model is used for comparing fit of the selected garments. The researchers experimented women's perceived body size for developing virtual fitting model. 50 women who were 20's in age were participated in the experiment They were graduate students with clothing & textile major. The results of this study showed that the subjects perceived themselves with fuller figure at waist or hips and with shorter figure at waist height than their actual body site. Many subjects believed that their body sizes were close to the average site. Especially, subjects whose abdomen girth of hip girth was much larger than average thought that they have relatively flat abdomen. It was concluded that not only the user's body measurements but also user's perception on their figure type are needed to be considered in the process of developing virtual fitting model for e-retailing of apparel. It was expected that the virtual fitting model of extraordinary size body would not be accepted by the female consumers even though they are extra large or small size person in reality.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.315-321
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• 2013

The ROK military has established the MND-AF (Ministry of National Defense- Architecture Framework) and is applying it when developing architecture for Enterprise (MND), Segment (component) and Solution (weapons and force support system). The AMM (Architecture Meta model) of the MND-AF supports the establishment of interoperability by systematizing the architecture information structure defined by the Architecture artifact, describing the relationship between data and also by liking reference models and Information technology standard, common components, and MND-Meta data. which are interoperability standards. However, the MND-AMM has insufficient linkage with the standards, which places constraints on applying interoperability standards when developing Solution architecture. This study suggests a logical data model (OV-7c) from the MND-Meta-data-based Architecture meta model that will enhance the application of MND meta data managed by the MND interoperability standard when developing Solution architecture.

• The Journal of the Korean dental association
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• v.57 no.8
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• pp.437-447
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• 2019

Purpose: In recent years, efforts to improve the dental curriculum in South Korea have focused on a shift to outcome-based dental education based on core competencies in dentistry. So far, the field has seen various studies on the development of competencies, performance evaluation, and the importance of outcome-based education, but few studies have documented the development of such an education model. Therefore, this study develops an OBE curriculum for dentistry education and describes the development procedures and then finally this study intends to share our experience to other dental schools. Methods: This study introduces the development procedure and details of an outcome-based education model for dental education and presents the five stages of an outcome-based education model. In this study, 3 educational experts and 2 dental professor composed the TFT and developed the research method according to the ADDIE model. Step 1 is to conduct quantitative / qualitative research analysis through some survey and interview, Step 2 is to do a survey to revise competency, Step 3 is to develop a materials through consensus and participation of our professors of the dental school, Step 4 is to do some workshops, Step 5 is to prepare and conduct a outcome evaluation. Results: Step 1 is a required process for developing an educational model: the Job Analysis & Need Analysis stage. Step 2 is the Development of Outcome and Competency stage, which involves revising the competencies that are the basis of the curriculum. Step 3 is developing competency descriptions, competency levels, and evaluation criteria?the Development of Outcomes and Evaluation Standards. Step 4 is the Development of Milestones for Curriculum and Instructional Strategy, which examines the curriculum's problems and analyzes the improvements of each course. Step 5 is the Evaluating Outcomes stage, conducted based on the competencies specified by the target dental school. Conclustion: The model presented here can serve as a foundation for outcome-based education in other dental schools.

• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.203-228
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• 2019

This study developed KISTI CLCM, a curation model suitable for the content life cycle, focusing on the KISTI Content Curation Center. For developing the KISTI Curation Model, the previously developed models DCC, DCC&U, UC3 and DCN models were reviewed and the advantages of the models connected to the mission and tasks of the digital curation center were derived. Interviews with staffs of the KISTI Content Curation Center identified the characteristics of the content and identified the level of achievement of the current task. In addition, this study proposed to enhance usability by developing KISTI content curation waves based on the UC3 model to discover user-centered services and add new values to digital resources.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.214-222
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• 2022

Convolutional Neural networks (CNNs) are a category of deep learning networks that have proven very effective in computer vision tasks such as image classification. Notwithstanding, not much has been seen in its use for remote sensing image classification in developing countries. This is majorly due to the scarcity of training data. Recently, transfer learning technique has successfully been used to develop state-of-the art models for remote sensing (RS) image classification tasks using training and testing data from well-known RS data repositories. However, the ability of such model to classify RS test data from a different dataset has not been sufficiently investigated. In this paper, we propose a deep CNN model that can classify RS test data from a dataset different from the training dataset. To achieve our objective, we first, re-trained a ResNet-50 model using EuroSAT, a large-scale RS dataset to develop a base model then we integrated Augmentation and Ensemble learning to improve its generalization ability. We further experimented on the ability of this model to classify a novel dataset (Nig_Images). The final classification results shows that our model achieves a 96% and 80% accuracy on EuroSAT and Nig_Images test data respectively. Adequate knowledge and usage of this framework is expected to encourage research and the usage of deep CNNs for land cover mapping in cases of lack of training data as obtainable in developing countries.