• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1622-1624
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• 2007

In order to realize effective p-type doping in ZnO thin films, ZnO films were deposited on P-doped Silayers by RF-magnetron sputter deposition technique and annealed at various temperatures. The result indicated that ZnO film annealed at $700^{\circ}C$ showed p-type conduction with a high carrier concentration in the order of $10^{19}\;cm^{-3}$.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.33A no.12
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• pp.1-8
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• 1996

In this paper, we propose a hybrid blind equalizer with TEA and SG (stop & Go) algorithm with switching point a 0 dB of MSE value for improvement of convergence performance, where TEA is used initially to open the eye and then SG algorithm as rapid convergence is employed. The switching point is selected at the point of 0 dB MSE level because of settling the coefficients of blind equalier. As a result of computer simulatons for 8-PAM in the non-minimum phase channel, the proposed algorithm has better convergence speed as 3,500 ~ 4,500 iterations and has better MsE about 3 ~ 6 dB than those of original TEA. Also, computational cost of proposed algorithm is reduced as 5 ~ 16% than that of original TEA. and, the proposed algorithm has better convergence than SG algorithm as 8,500 ~ 17,500 iteratins but, the MSE is similar to original SG.

• Smart Media Journal
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• v.9 no.3
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• pp.59-70
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• 2020

This paper presents a fully automatic tool to recognize the liver region from CT images based on a deep learning model, namely Multiple Filter U-net, MFUnet. The advantages of both U-net and Multiple Filters were utilized to construct an autoencoder model, called MFUnet for segmenting the liver region from computed tomograph. The MFUnet architecture includes the autoencoding model which is used for regenerating the liver region, the backbone model for extracting features which is trained on ImageNet, and the predicting model used for liver segmentation. The LiTS dataset and Chaos dataset were used for the evaluation of our research. This result shows that the integration of Multiple Filter to U-net improves the performance of liver segmentation and it opens up many research directions in medical imaging processing field.

• Journal of electromagnetic engineering and science
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• v.16 no.1
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• pp.1-6
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• 2016

Computer simulations were conducted to demonstrate the generation of microwave-induced thermoacoustic signal. The simulations began with modelling an object with a biological tissue characteristic and irradiating it with a microwave pulse. The time-varying heating function data at every particular point on the illuminated object were obtained from absorbed electric field data from the simulation result. The thermoacoustic signal received at a point transducer at a particular distance from the object was generated by applying heating function data to the thermoacoustic equation. These simulations can be used as a foundation for understanding how thermoacoustic signal is generated and can be applied as a basis for thermoacoustic imaging simulations and experiments in future research.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.10 no.6
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• pp.308-316
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• 1985

A new implementation of Block Adaptive filter in frequency domain is presented in this paper. Block digital filtering involves the calculation of a block or finite set of filter out put from a block of input values. A fast convergence algorithm of block adaptive filter is developed using Gordar theory and compared with the performance results of Satio algorithm and BLMS algorithm. Form the result we can be shown that the convergence state of given algorithm is not only faster than BLMS algorithm but also the resulting convergence error is less than the convergence error of Satio algorithm.

• Journal of information and communication convergence engineering
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• v.2 no.1
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• pp.36-39
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• 2004

In this paper, a method of improving the learning speed and convergence rate is proposed to exploit the advantages of artificial neural networks and neuro-fuzzy systems. This method is applied to the XOR problem, n bit parity problem, which is used as the benchmark in the field of pattern recognition. The method is also applied to the recognition of digital image for practical image application. As a result of experiment, it does not always guarantee convergence. However, the network showed considerable improvement in learning time and has a high convergence rate. The proposed network can be extended to any number of layers. When we consider only the case of the single layer, the networks had the capability of high speed during the learning process and rapid processing on huge images.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.331-331
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• 2022

This research aims to developing new commercialization project of convergence agricultural industrial model. First, we established an inventory for the planning of convergence agricultural industrial model categorize the relevant factors identified, and then suggested three models which are the business profit model for convergence agriculture industrialization, the resource recycling complex and agricultural tourism model, and the smart agricultural model. Second, in order to investigate the feasibility of each industrial model, we investigated the willingness to participate in the project according to the pilot models such as related organizations and management agencies, and proposed the result of business feasibility analysis. Finally, we suggested the establishment of a demonstration complex through the systemization of element technologies at two models. The related systems and technologies was reviewed as a new commercialization plan through the modeling of convergence agricultural industrial types in main crop production complex presented, and set up mid- to long-term development direction. The results of this study can be applied to the design of convergence agricultural industrial model in main crop production complex.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.406-409
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• 2023

With the explosion of information, recommendation algorithms are becoming increasingly important in providing people with appropriate content, enhancing their online experience. In this paper, we propose a recommender system using advanced deep reinforcement learning(DRL) techniques. This method is more adaptive and integrative than traditional methods. We selected the MovieLens dataset and employed the precision metric to assess the effectiveness of our algorithm. The result of our implementation outperforms other baseline techniques, delivering better results for Top-N item recommendations.

• 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.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.125-130
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• 2020

Universities that hold engineering education accreditation emphasize the importance of design education. In particular, comprehensive design courses in the engineering field are designed to produce the result reflecting the functional and limiting factors of the design. Systematic design education is also important, but the application of multidisciplinary convergence education is very high in view of the comprehensive design curriculum as a creative education program. This study describes a case study of convergence of curriculum and engineering and design, focusing on the 2019 comprehensive engineering design subject of the researcher. For the collaboration between engineering and design, the process of developing students' ideas and applying them to actual results was presented as the procedures of planning and theme selection, content design, software design, presentation and evaluation. As a result, it is meaningful that the method of convergence between engineering and design was presented without focusing only on technology in the comprehensive design subject of engineering by applying a design that considers the user in producing the work.