• Journal of Wetlands Research
• /
• v.21 no.2
• /
• pp.152-156
• /
• 2019

The removal property of magnetic zeolite for the adsorption of aqueous ammonium ion was examined in this work. The surface modified magnetic zeolite was produced by hydrothermal synthesis. The complex of zeolite and $Fe_3O_4$ was established by the observation of SEM and XRD analysis and less than 12.6% of $Fe_3O_4$ content in magnetic zeolite was observed in the form of $Fe_3O_4$ particles. The optimum pH of adsorption was shown around 8 and the maximum adsorption linearly decreased with the increase of $Fe_3O_4$ content. The adsorption isotherm for aqueous ammonium ion was approximated by Langmuir equation. The developed surface modified magnetic zeolite adsorbent was recommended to control the nitrogen pollution for wetland environment system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.127-130
• /
• 2022

This paper is a study on singing voice synthesis modeling using a generator loss function, which analyzes various factors that may occur when applying BEGAN among deep learning algorithms optimized for image generation to Audio domain. and we conduct experiments to derive optimal quality. In this paper, we focused the problem that the L1 loss proposed in the BEGAN-based models degrades the meaning of hyperparameter the gamma(𝛾) which was defined to control the diversity and quality of generated audio samples. In experiments we show that our proposed method and finding the optimal values through tuning, it can contribute to the improvement of the quality of the singing synthesis product.

• Journal of Korean Society of Environmental Engineers
• /
• v.37 no.6
• /
• pp.357-362
• /
• 2015

A novel $TiO_2$-Coconut Shell Powder Composite (TCSPS), prepared by the controlled sol-gel method with subsequent heat treatment, was evaluated as an innovative photocatalytic absorbent for the removal of methylene blue. Optimal preparation conditions of TCSPC were obtained by a response surface methodology and a central composite design model. As compared with the results obtained from one-factor-at-a-time experiments, the values were approximated to the nearest condition of these values and the following experimental parameters were set as the optimum : $600^{\circ}C$ calcination temperature and 20 g of coconut shell powder loading amount.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.1
• /
• pp.166-173
• /
• 2013

As the number of IPs and the communication volume among them have constantly increased, on-chip crossbar network is now the most widely-used on-chip communication backbone of contemporary SoCs. The on-chip crossbar network consists of multiple crossbars and the connections among the IPs and the crossbars. As the complexity of SoCs increases, it has also become more and more complex to determine the topology of the crossbar network. To tackle this problem, this paper proposes an on-chip crossbar network topology method for application-specific systems. The proposed method uses mixed integer linear programming to solve the topology synthesis problem, thus the global optimality is guaranteed. Unlike the previous MILP-based methods which represent the topology with adjacency matrixes of IPs and crossbar switches, the proposed method uses the communication edges among IPs as the basic element of the representation. The experimental results show that the proposed MILP formulation outperforms the previous one by improving the synthesis speed by 77.1 times on average, for 4 realistic benchmarks.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.19 no.5
• /
• pp.533-540
• /
• 2008

In the sum and difference pattern synthesis problem of the equi-spaced monopulse tracking linear array antennas, an efficient numerical approach to deriving the relative excitation current weights of antenna elements is presented for the desired patterns. This method is based on the optimum perturbation of null points which are inherent to the Schelkunoffs polynomial representing the pattern array factor. Accordingly, opposite to the conventional method in which the excitation weights are directly optimized, this method is advantageous in that the patterns with the desired individual sidelobe levels(SLLs) and the corresponding excitation weights are easily synthesized by the control of null points. Furthermore, it is showed that two types of difference patterns can be synthesized as imposing the different initial values of null points in the optimization process. The proposed method is numerically validated by synthesizing the patterns with the arbitrary SLLs and substituting the extracted results into the array factor equation.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2011.02a
• /
• pp.456-456
• /
• 2011

최근 차세대 디스플레이, 터치스크린, 전자파 차폐 및 흡수 등의 다양한 응용분야에 적합한 소재를 개발하기 위한 연구가 진행되고 있다. 현재 주로 사용되는 ITO박막은 희소원소인 인듐의 매장량 한계와 높은 비용이 문제시 되고 있기 때문에, 대체 재료의 개발이 시급하게 요구되고 있다. 탄소나노튜브(CNT)는 금속을 능가하는 이론적인 전기전도도를 갖고 있으며 높은 탄성등의 우수한 기계적 성질을 갖고 있어 다양한 차세대 응용에 있어서 최적의 재료로 주목을 받고 있다. 특히, CNT 기반의 투명전도막은 기존의 ITO 박막 보다 우수한 유연성이 기대되어 더욱 기대를 모으고 있다. 본 연구에서는, 최종 고순도 재료를 얻기까지 합성 및 정제에 많은 공정과 시간이 요구되는 고가의 단층벽 나노튜브(SWNT)를 이용하지 않고, 웨이퍼 기판 위에 수직배향 합성한 상태의 다층벽 나노튜브(MWNT)를 별도의 정제과정 없이 초음파 분산한 뒤, 스프레이 코팅법을 이용하여 고분자 기판 위에 투명전도막을 제작하였고, 이때 각기 다른 길이의 수직배향 MWNT를 이용하여 유연성 투명전도막의 전기적 특성에 미치는 MWNT 길이의 영향에 대해 알아보았다. MWNT는 아세틸렌가스를 이용하여 열CVD법으로 합성하였고, 합성시간을 제어함으로써 길이가 다른 MWNT를 얻을 수 있었다. 투명전도막 제조공정의 단순화를 위하여 이용한 MWNT의 초음파 분산 결과, $500{\mu}m$ 이하 길이의 MWNT에서 분산성이 현저히 빨라지는 것을 확인하였다. 한편, 제작한 MWNT 기반의 유연성 투명전도막은 원자간힘현미경 및 면저항 측정기를 이용하여 막 두께에 따른 면저항 특성을 조사하였다. 그 결과 응용 가능한 면저항을 갖는 MWNT 투명전도막의 두께는 최소 50 nm 이상이어야 함을 알았고, 특히 MWNT등의 접촉점(node) 수에 따른 접촉저항 및 전기전도경로(electric conductivity path)를 고려했을 때 최적의 MWNT 길이가 존재하는 것을 확인하였다.

• Korean Journal of Materials Research
• /
• v.5 no.8
• /
• pp.1035-1039
• /
• 1995

Synthetic zeolite was prepared by using of natural bentonite from Kampo area and the application of detergent builder was investigated. The optimum synthetic condition was SiO$_2$/Al$_2$O$_3$= 2, Na$_2$O/A1$_2$O$_3$=1, H$_2$O/A1$_2$O$_3$=30 at 90$^{\circ}C$ for 3hr and it was found by XRD analysis that the zeolite synthesized under this condition was type A. When the zeolite A synthesized under the optimum condition was contacted with 40$^{\circ}$Dh CaCl$_2$solution at 30$^{\circ}C$ for 15min, the cation exchange capacity was 264.9mg CaO/g-zeolite. And the whiteness of the sample was 89% and the mean particle size was 9.95$\mu\textrm{m}$.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.33 no.1
• /
• pp.26-32
• /
• 2005

In this paper, the effect of various regression models is investigated on structural optimization using the central composite method. Three bar truss and the upper platform of a satellite are optimized using various regression models that are polynomial, exponential and log functions. Response surface method is non-gradient, semi-global, discrete and fast converging in optimization problem. Sampling points are extracted by the design of experiments using the central composite method. Response surface is generated using the various regression functions. Structural analysis for calculating constraints is executed to find static and dynamic responses. From this study, it is verified that the response surface method has advantage in optimum value and computation time in comparison to other optimization methods.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.7
• /
• pp.213-220
• /
• 2020

The convolutional neural network is composed of convolutional layers and fully connected layers. The nonlinear activation function is used in each layer of the convolutional layer and the fully connected layer. The activation function being used in a neural network is a function that simulates the method of transmitting information in a neuron that can transmit a signal and not send a signal if the input signal is above a certain criterion when transmitting a signal between neurons. The conventional activation function does not have a relationship with the loss function, so the process of finding the optimal solution is slow. In order to improve this, an agile activation function that generalizes the activation function is proposed. The agile activation function can improve the performance of the deep neural network in a way that selects the optimal agile parameter through the learning process using the primary differential coefficient of the loss function for the agile parameter in the backpropagation process. Through the MNIST classification problem, we have identified that agile activation functions have superior performance over conventional activation functions.

• Microbiology and Biotechnology Letters
• /
• v.2 no.2
• /
• pp.63-77
• /
• 1974

The optimal operation problem of enzyme reactor of double inhibitions are dealt with Maximum Principle and Steepest Ascent Method. The operation policy of the intial concentration and amount of substrate, reaction time and the method of cross feed of substrate are determined in a system of reactor of constant volume add with cross feed of substrate. The policy for the soluble enzyme and the immobilized enzyme are greatly different from each other, and the performance index, the profit per unit time, of the latter are nearly twice greater than that of the former.