• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3943-3948
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• 2022

Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 × 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies.

• Journal of information and communication convergence engineering
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• v.21 no.1
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• pp.75-81
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• 2023

Video platforms, including YouTube, have a structure in which the number of video views is directly related to the publisher's profits. Therefore, video publishers induce viewers by using provocative titles and thumbnails to garner more views. The conventional technique used to limit such harmful videos has low detection accuracy and relies on follow-up measures based on user reports. To address these problems, this study proposes a technique to improve the accuracy of filtering harmful media using thumbnails, titles, and audio data from videos. This study analyzed these three pieces of multimodal information; if the number of harmful determinations was greater than the set threshold, the video was deemed to be harmful, and its upload was restricted. The experimental results showed that the proposed multimodal information extraction technique used for harmfulvideo filtering achieved a 9% better performance than YouTube's Restricted Mode with regard to detection accuracy and a 41% better performance than the YouTube automation system.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.57-63
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• 2015

In this study, the lower arm is connected and fixed at the model of the automotive stabilizer link as the moment is applied. There are models of 1, 2 and 3 as a length control type, a general type and a single body type respectively. These models are investigated by performing the convergence technique through the design and the strength analysis with CATIA and ANSYS. As the maximum equivalent stress of model 3 has the least, model 3 can endure the highest load among three models. As the fatigue analysis, model 3 has the minimum blocks as the frequency of stress state, model 3 becomes also safest among three models. As models of 1, 2 are in the order of the next safety, the number of blocks becomes larger as the frequency of stress state and the instability becomes higher. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.287-294
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• 2015

The purpose of this study, was Let's examine the exposure dose at the time of cerebral blood flow CT scan of acute ischemic stroke patients. In particular, long-term high doses of radiation sensitive organs and we Measured using phantom and a glass dosimeter. Apply the existing protocol suggested by the manufacturer (fixed time delay technique) and the proposed new convergence protocol (bolus tracking technique), reporting to measure the dose, dose reduction was to prepare the way. Results up to 39.8% as compared to the existing protocols in a new suggested convergence protocol, a minimum of 5.8% was long-term dose is reduced. Test dose of $CDTI_{vol}$ and DLP values decreased 25%, respectively, were measured at less than recommended dose. Try checking the protocol set out in the existing based on the analysis result of the above, by applying the proposed new convergence protocol by reducing the dose would have to contribute to improved public health. It is believed to be research continues to find the optimum protocol in the other tests.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.11-17
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• 2017

As nailists do not pay much attention to development of new designs while repeating existing or variated designs, nail design is not developed further and just simple design is repeated. In this perspective, this study is to suggest nail art designs grafted on Mosaic technique using diverse objets to overcome the problems of lacking materials and design skills. For the purposes, this study analysed the concept and characteristics of Mosaic technique based on bibliographical data, Internet web-sites and previous studies, and presented 4 pieces of UV gel nail art design using diverse materials of cellophane paper, gel, hologram and stone as a convergence design. As a result, this study discovered that there is a possibility that more materials would be used and the limitation of existing nail art can be overcome through a suggestion of new convergence nail art. It is expected that further research would be conducted on satisfaction of clients in the developed skills and the result will be helpful to more sale in nail shops.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.624-626
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• 1998

In this paper. a new simple and efficient technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analysis to prove theoretically the improvement of convergence speed. The theoretical analysis shows that the data-recycling LMS technique can increase convergence speed by (B+1) times, where B is the number of recycled data. The results of the computer simulation demonstrate that the simulation results are in accordance with the theoretical analysis and the superiority of the filter algorithm

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.574-577
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• 1998

In this paper, a new simple and efficient technique to improve the convergence speed of LMS algorithm is proposed in an interference-limited multi-path fading environment as encountered in indoor wireless communications. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analyzed to prove theoretically the improvement of convergence speed. The theoretical analysis shows that the data-recycling in technique can increase convergence speed by (B+1) times without increasing the computational complexity substantially where B is the number of recycled data. The results of the computer simulation demonstrate that the simulation results are in accordance with the theoretical analysis and the superiority of the filter algorithm.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.2
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• pp.88-94
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• 2013

In this paper, an efficient signal interference control technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm,whose coefficients are multiply adapted in a symbol time period by recycling the received data,are analyzed to prove theoretically the improvement of convergence speed. According as thestep-size parameter ${\mu}$ is increased, the rate of convergence of the algorithm is controlled. Increasing the eigenvalue spread has the effect of controlling down the rate of convergence of the adaptive equalizer and also increasing the steady-state value of the average squared error and also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

• Journal of the Chungcheong Mathematical Society
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• v.28 no.1
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• pp.1-12
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• 2015

We present a local convergence analysis for inexact Newton-like method in a Banach space under weaker Lipschitz condition. The convergence ball is enlarged and the estimates on the error distances are more precise under the same computational cost as in earlier studies such as [6, 7, 11, 18]. Some special cases are considered and applications for solving nonlinear systems using the Newton-arithmetic mean method are improved with the new convergence technique.

• Journal of the Korea Convergence Society
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• v.6 no.3
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• pp.59-64
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• 2015

A hinge is the most important part constituting door. Nowadays, the hinge is subdivided all the more under the category of the function, shape and material and is enlarged at the usage. Therefore, it is necessary to improve the manufacturing technique and more specialized design must be developed. As the structural analysis is carried on the hinge model mounted at door in this study, the deformation, stress distribution and fatigue life are analyzed when the door is applied with uniform force. The durabilities of hinge models due to each shape are anticipated through this study. It is thought to be contributed at developing and designing more improved hinge model with durability. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.