• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.7
• /
• pp.846-851
• /
• 2005

In this paper, we propose Genetic Algorithms(GAs)-based Optimized Polynomial Neural Networks(PNN). The proposed algorithm is based on Group Method of Data Handling(GMDH) method and its structure is similar to feedforward Neural Networks. But the structure of PNN is not fixed like in conventional neural networks and can be generated in a dynamic manner. As each node of PNN structure, we use several types of high-order polynomial such as linear, quadratic and modified quadratic, and it is connected as various kinds of multi-variable inputs. The conventional PNN depends on the experience of a designer that select the number of input variables, input variable and polynomial type. Therefore it is very difficult to organize optimized network. The proposed algorithm leads to identify and select the number of input variables, input variable and polynomial type by using Genetic Algorithms(GAs). The aggregate performance index with weighting factor is proposed as well. The study is illustrated with tile NOx omission process data of gas turbine power plant for application to nonlinear process. In the sequel the proposed model shows not only superb predictability but also high accuracy in comparison to the existing intelligent models.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.15 no.5
• /
• pp.59-64
• /
• 2006

The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved in order to achieve the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties). The mathematical modeling of hot rolling process has long been recognized to be a desirable approach to investigate rolling operating practice and design of mill requirement. To achieve this objectives, a new teaming method with neural network to improve the accuracy of rolling force prediction in hot rolling mill is developed. Also, Genetic Algorithm(GA) is applied to select the optimal structure of the neural network and compared with that of engineers experience. It is shown from this research that both structure selection methods can lead to similar results.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2006.05a
• /
• pp.621-622
• /
• 2006

In this paper, we performed the customization of CAE analysis in the process of product development and verification. The purpose of customized analysis is to implement collaboration framework of inter-corporate, inter-division for knowledge process based on product development. Customized analysis methodology using ANSYS Workbench API is presented for the web-based and workbench-based application. Cellular phone was selected as a CAD model, and template based process of analysis is conducted. By using this system, customized analysis is suitable to site or user oriented specific analysis and for user who has little experience on CAE analysis.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2003.10a
• /
• pp.115-122
• /
• 2003

A Metropolis genetic algorithm(MGA) is developed and applied for the structural design optimization. In MGA favorable features of Metropolis algorithm in simulated annealing(SA) are incorporated in simple genetic algorithm(SGA), so that the MGA alleviates the disadvantage of finding imprecise solution in SGA and time-consuming computation in SA. Performances of MGA are compared with those of conventional algorithms such as Holland's SGA, Krishnakumar's micro genetic algorithm(μGA), and Kirkpatrick's SA. Typical numerical examples are used to evaluate the favorable features and applicability of MGA From the theoretical evaluation and numerical experience, it is concluded that the proposed MGA is a reliable and efficient tool for structural design optimization.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 2002.10a
• /
• pp.41-46
• /
• 2002

In the face of global competition, the requirements fer the continuously increasing productivity, flexibility and quality (dimensional accuracy, mechanical properties and surface properties) have imposed a major change on steel manufacturing industries. The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved. To achieve this objectives, a new loaming method with neural network to improve the accuracy of rolling force prediction in hot rolling mill is developed. Also, Genetic Algorithm(GA) is applied to select the optimal structure of the neural network and compared with that of engineers experience. It is shown from this research that both structure selection methods can lead to similar results.

• Journal of the Korean Society for Precision Engineering
• /
• v.16 no.11
• /
• pp.139-147
• /
• 1999

Rapid Prototyping has made a drastic change in all industries which needs to reduce the time for the development of new products. Orientation and packing in rapid prototyping is considered as the most important factors to maximize the utilization of space in the build chamber and reduce build time. However, the decision of these parameter is mainly dependant on the operators's experience. This paper presents the methodology to find the optimal build layout considering an orientation and packing of multiple parts in SLS processing. Each part is represented as a voxel structure to deal with the inefficiency in a bounding box approach. Test results show that the adapted BL algorithm with a genetic algorithm(GA) can be applicable to a real industry.

• The Korean Journal of Emergency Medical Services
• /
• v.23 no.1
• /
• pp.71-85
• /
• 2019

Purpose: The purpose of this study was to provide basic data for developing strategic programs based on 119 emergency medical technicians leadership perception types. Methods: The subjects were thirty six 119 emergency medical technicians working for out-of hospital in Jeollanam-Do, Korea. Data were collected from July 20, 2017 to October 30, 2017. Q sample of 40 statements and P sample of 36 persons using PC QUANL software. Results: Three types of leadership styles were identified from the explanation (71.5% of the variables). The relationship oriented progressive type (the most common), the performance and value oriented type (the second most common), and the experience oriented filed participation type (the third most common). Conclusion: The fire department will need to develop and implemented leadership improvement programs based on the leadership types in order to meet the organization's goals.

• Archives of Craniofacial Surgery
• /
• v.25 no.1
• /
• pp.31-37
• /
• 2024

Orbital floor fractures are commonly encountered, but the dislocation of the eyeball into the maxillary sinus is relatively rare. When it does occur, globe dislocation can have serious consequences, including vision loss, enucleation, and orbito-ocular deformity. Immediate surgical intervention is typically attempted when possible. However, severe comorbidities and poor general health can delay necessary surgery. In this report, we present the surgical outcomes of a 70-year-old woman who received delayed treatment for traumatic eyeball dislocation into the maxillary sinus due to a subarachnoid hemorrhage and hemopneumothorax. Additionally, we propose a treatment algorithm based on our clinical experience and a review of the literature.

• Journal of Korean society of Dental Hygiene
• /
• v.21 no.4
• /
• pp.467-479
• /
• 2021

Objectives: The purpose of this study was to investigate the awareness of the performance and necessity of oral health promotion activities and seek ways to revitalize the professional role of dental hygienists in oral healthcare for the efficient oral care of the elderly. Methods: Eighty-five dental hygienists in charge of oral health promotion projects at public health centers and 38 dental hygienists in network dental clinical trials were investigated for their learning experience, performance experience, feasibility, and necessity of dental hygienists for general and oral health service items for the elderly. The collected data were analyzed using frequency analysis, chi-square test, and Mann-Whitney U test. Results: The degree of performance possibility according to the learning experience and performance experience of the dental hygienist for the whole body and oral health promotion activity items for the elderly showed that the degree of performance possibility was higher among those with experience compared to the non-experienced person, and it was statistically significantly higher (p<0.05). Conclusions: The dental hygienist's professional oral health service is a necessary system to improve practical knowledge and skills and to provide a wide range of professional oral health services for the elderly.

• Journal of Convergence for Information Technology
• /
• v.7 no.3
• /
• pp.111-116
• /
• 2017

This study offers the possibility as a new product of souvenirs from cultural tourist sites with virtual reality contents, instead of a simple exhibit. Users can watch augmented reality contents on souvenirs, and use the virtual experience service of cultural tourist sites with VR viewer. It has 4K-class high-quality $360^{\circ}$ image capture to increase the immersion of users in virtual space, implement virtual reality space and intuitive UI interaction with users using IMU (Inertial Measurement Unit). It is also possible to apply various add-on functions, including 3D contents, through technical development to increase its marketability, and apply in other industries. In addition, the prototype of the souvenir and VR viewer will be made by using a 3D printer and such in order to apply the contents which will be introduced in this study. Various product expansions can be considered through consultation with the relevant companies for the use of ready-made products.