• 한국산업융합학회 논문집
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• 제14권4호
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• pp.135-142
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• 2011

Convergence between telecom and broadcasting is today a worldwide phenomenon. Diverse services like VoD, mobile broadcasting, IPTV and interactive services have already made their market debut or are currently being commercialized. Regulatory systems are also being revised to appropriately regulate this new breed of services. We propose the new model of educational broadcasting system using the internet network, it is not different conventional coaxial cable methods. Especially, we design the multicast method of the network using the limited channel and resource, propose the method of intercommunication in the school between the broadcasting system and database system.

• ETRI Journal
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• 제29권6호
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• pp.808-810
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• 2007

We demonstrate 10 Gbps optical signal transmission via long-range surface plasmon polaritons (LR-SPPs) in a very thin metal strip-guided geometry. The LR-SPP waveguide was fabricated as a 14 nm thick, 2.5 ${\mu}m$ wide, and 4 cm long gold strip embedded in a polymer and pigtailed with single-mode fibers. The total insertion loss of 16 dB was achieved at a wavelength of 1.55 ${\mu}m$ as a carrier wave. In a 10 Gbps optical signal transmission experiment, the LR-SPP waveguide exhibits an excellent eye opening and a 2.2 dB power penalty at $10^{-12}$ bit error rate. We confirm, for the first time, that LR-SPPs can efficiently transfer data signals as well as the carrier light.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1998년도 추계종합학술대회
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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.

• 한국가시화정보학회지
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• 제17권3호
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• pp.19-23
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• 2019

The purpose of this research is to develop a facile measurement system for colorimetric analysis for zinc powder and size analyzer for zeolite particles in order to reduce the process time for their characteristic analysis. We present facile smartphone-based analysis methods to measure and estimate the size of zinc power by using colorimeteric method and the size of zeolite particles by using ImageJ program which is an open-source program. The results show a possibility of our methods to replace the previous professional analysis processes with them.

• Journal of electromagnetic engineering and science
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• 제16권1호
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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.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2002년도 추계 학술대회논문집
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• pp.95-102
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• 2002

Studies of the numerical characteristics of implicit upwind schemes, such as upwind ADI, Line Gauss-Seidel(LGS) and Point Gauss-Seidel(LU) algorithms, for preconditioned Navier-Stokes equations ate performed. All the algorithms are expressed in approximate factorization form and Von Neumann stability analysis and convergence studies are made. Preconditioning is applied for efficient convergence at low Mach numbers and low Reynolds numbers. For high aspect ratio computations, the ADI and LGS algorithms show efficient and uniform convergence up to moderate aspect ratio if we adopt viscous preconditioning based on min- CFL/max- VNN time-step definition. The LU algorithm, on the other hand, shows serious deterioration in convergence rate as the grid aspect ratio increases. Computations for practical applications also verify these results.

• Journal of information and communication convergence engineering
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• 제2권1호
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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.

• 스마트미디어저널
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• 제11권2호
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.459-460
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• 2023

본 연구는 매장의 인력을 효율적으로 관리할 수 있는 기능을 제공한다. 매장 운영시 매장 직원의 갑작스런 결근으로 업무의 공백이 발생할 수 있다. 이러한 결근으로 인해 매장이 정상적으로 인력을 보충하지 못하여 발생하는 문제로 인해 업장 운영에 큰 차질을 가질 수 있다. 이러한 문제를 해결하고자 본 연구에서는 결근으로 인한 업무의 공백을 미연에 방지하기 위한 기능을 제공한다. 본 연구는 매장 관리를 위해 필요한 실시간 채팅, 캘린더, 인수인계와 같은 다른 애플리케이션들의 기능을 하나의 애플리케이션에서 처리하고, 대타 및 보충 인력을 사전에 또는 긴급으로 보충할 수 있도록 하였다.

• 융합정보논문지
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• 제11권11호
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• pp.219-228
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• 2021

본 연구는 좌식 시간이 삶의 질과 구강건강 관련 행위에 미치는 융합적인 영향을 확인하고자 제7기 국민건강영양조사 자료를 사용하였다. 총 19,983명의 자료를 IBM SPSS 25.0 프로그램으로 분석하였고, 좌식 시간이 건강관련 삶의 질과 구강건강 관련 행위에 미치는 영향을 확인하기 위해 복합표본 로지스틱 회귀분석을 시행하였다. 그 결과, 좌식 시간이 길어질수록 삶의 질은 나빠졌고(p<.05), 구강건강관련 행위 중 칫솔질은 아침식사 전과 자기 전을 제외하고 모든 시간에서 칫솔질을 하지 않는 경우가 증가하였다(p<.05). 또한, 치과치료는 좌식 시간이 길어질수록 예방진료와 치주치료가 증가하였다(p<.05). 따라서 인구 사회학적 특성에 따른 좌식 시간을 고려하여 삶의 질을 향상시키고 구강건강 관련 행위를 높이기 위한 기초자료로 활용될 수 있을 것으로 판단한다.