• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 1999.11a
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• pp.180-186
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• 1999

Alkaline peroxide bleaching of (chemi) mechanical pulp is a very complicated system where various process factors affect the bleaching performance and pulp properties. Traditional on-factor-at a time method is ineffective and costly in finding the optimal bleaching conditions. In this study statistical experimental methods which include three steps. I. e. screening, response surface modeling and optimization, were used to find the conditions for maximal brightness development during one stage alkaline peroxide bleaching of TMP which had an initial brightness of 54.5% Elerpho. The TMP was pretreated with EDTA(0.5% on O. D. pulp. consistency, $30^{\circ}C$ for 60 minutes) and bleached in a 2L Mark V Quantum Reactor at 750rpm, 7.5% of bleaching consistency and with 0.05% magnesium sulfate addition. The ranges of other factors studied were 1~5% hydrogen peroxide on O. D plup, 1~4% sodium hydroxide on O. D pulp and 1~4% sodium silicate on O. D pulp, reaction temperature 50~$90^{\circ}C$ and reaction time 40~180minutes. A models with good predictability was established and the maximal brightness after one stage bleaching was found to be 70% Elerpho at $50^{\circ}C$, 50 minutes 5% hydrogen peroxide on O. D. pulp 3.2~3.4% sodium hydroxide on O. D. pulp 3.2~3.4% sodium hydroxide on O. D pulp and 4% silicate on O. D pulp. However further studies on other pulp properties such as strength and brightness stability shall be carried out in order to find out the optimal bleaching conditions.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.11a
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• pp.45-49
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• 2011

The blow-down oxidizer feed system with self-pressurizing $N_2O$ has more advantages than the regulated system. However, it is difficult to predict the exhaust flow rate because there exist two phases in the $N_2O$ tank - liquid phase and gas phase, and the properties of $N_2O$ in storage tank are varied continuously during blow-down. In this paper, a method that can analyse simply the blow-down oxidizer feed system is studied. The properties of saturated $N_2O$ are found from the NIST data base, and mass flow through the orifice is modeled as NHNE. Cold flow test with hybrid rocket combustor is performed for the comparison where the results should found from the good agreement.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.35-44
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• 2019

The purpose of this study is to find out quantitative vulnerability assessment about COTS(Commercial Off The Shelf) O/S based I&C System. This paper analyzed vulnerability's lifecycle and it's impact. this paper is to develop a quantitative assessment of overall cyber security risks and vulnerabilities I&C System by studying the vulnerability analysis and prediction method. The probabilistic vulnerability assessment method proposed in this study suggests a modeling method that enables setting priority of patches, threshold setting of vulnerable size, and attack path in a commercial OS-based measurement control system that is difficult to patch an immediate vulnerability.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.191-199
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• 1996

In this paper, We assume that the closed computer system model composed of multiprocessor system is analyzed by BCMP queueing network theory with priority levels. In this system that contains terminals, processors and I/O devices, We show maximum throughput and the number of active terminals in the optimum multiprogramming levels. It is compared the performance with the other. In the result, it is obtained the optimum number of processors and active terminals. Therefore, the system model consisted of the optimum number of processor and multiprogramming level m is analyzed by the servers with a priority level. Each server is applied to the type of server which is characterized terminal, processor I/O device etc.. This model is analyzed by the server with a probability ditribution. Ideal state is proposed by the modeling for priority levels. Finally, we try to increase the performance in overload system.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.34-41
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• 2017

In this paper, the I/O parameters of existing predictive models were analyzed to construct a composite disaster prediction model that incorporates a previously developed natural disaster prediction model and a prediction of social disaster prediction models. A complex disaster prediction model indicates a combination of multiple disasters, not a single disaster. Such a complex disaster was mainly linked to a social disaster caused by natural disasters resulting from natural disasters, so it conducted a study of natural disasters and social disaster prediction models. Several estimates were analyzed based on several predictive models of prediction models, and the I/O parameters applied universally were derived by the types of disaster types. In this paper, It will help develop a study aimed at building a complex disaster prediction model.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1293-1302
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• 1999

In this paper, an on-line process scheme is presented for implementation of a intelligent on-line modeling of nonlinear complex system. The proposed on-line process scheme is composed of FNN-based model algorithm and PLC-based simulator, Here, an adaptive fuzzy-neural networks and HCM(Hard C-Means) clustering method are used as an intelligent identification algorithm for on-line modeling. The adaptive fuzzy-neural networks consists of two distinct modifiable sturctures such as the premise and the consequence part. The parameters of two structures are adapted by a combined hybrid learning algorithm of gradient decent method and least square method. Also we design an interface S/W between PLC(Proguammable Logic Controller) and main PC computer, and construct a monitoring and control simulator for real process system. Accordingly the on-line identification algorithm and interface S/W are used to obtain the on-line FNN model structure and to accomplish the on-line modeling. And using some I/O data gathered partly in the field(plant), computer simulation is carried out to evaluate the performance of FNN model structure generated by the on-line identification algorithm. This simulation results show that the proposed technique can produce the optimal fuzzy model with higher accuracy and feasibility than other works achieved previously.

• Journal of The Korean Astronomical Society
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• v.33 no.2
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• pp.97-110
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• 2000

Planetary nebulae provide a direct way to probe elemental abundances, their distributions and their gradients in populations in nearby galaxies. We investigate bulge planetary nebulae in M 31 and M 32 using the strong emission lines, H$\alpha$, He I, [O III], [N II], [S II] and [Ne III]. From the [O III] 4363/5007 line ratio and the [O II] 3727/3729, we determine the electron temperatures and number densities. With a standard modeling procedure (Hyung, 1994), we fit the line intensities and diagnostic temperatures, and as a result, we derive the chemical abundances of individual planetary nebulae in M 31 and M 32. The derived chemical abundances are compared with those of the well-known Galactic planetary nebulae or the Sun. The chemical abundances of M 32 appear to be less enhanced compared to the Galaxy or M 31.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.84.1-84.1
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• 2011

We observed several young stellar objects (YSOs) using the Photodetector Array Camera and Spectrometer (PACS) aboard the Herschel Space Observatory. CO, OH, $H_2O$, [O I], and [C II] lines were detected. CO rotational diagrams show two distinct gas components of ~400 K and ~1000 K with a break around 1500 K of the CO excitation energy, indicative of two different heating mechanisms: PDR and outflow shocks. OH and $H_2O$ line fluxes can be fitted with temperatures different from what are derived from the CO rotational diagrams. In order to understand the physical environment of line formation, the sources were modeled with the 3-D radiative transfer code, LIME. We present the results of observations, simple analysis, and modeling of Herschel-PACS spectra of the YSOs.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.131-134
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• 2000

본 논문에서는 디지털 IC회로의 입출력과 입출력 버퍼에 대한 입출력 버퍼정보 형식 모델링을 묘사하였고 입출력 버퍼의 전기적 특성을 표현하는 방법 등을 나타냈다. 또한 본 논문에서 도출한 입출력 버퍼 모델링은 CMOS와 TTL IC를 모델링 하는데 사용할 수 있는데 CMOS와 TTL IC 그리고 ROM과 RAM 메모리에 대한 입출력 버퍼 모델을 128개 정도 만들었다. 이러한 입출력 버퍼 모델은 정확한 행동(behavioral) 모델을 구성하기 위해 그리고 고속 회로의 PCB 디자인 시뮬레이션에 사용될 것이다.

• Proceedings of the PSK Conference
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• 2000.10a
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• pp.127.3-128
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• 2000