• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1995.11a
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• pp.115-115
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• 1995

다중 효용관식 증발기는 보통의 증발기에서 응축하여 제거하는 증기를 다음 효용관의 가열원으로 재사용하는 것으로 그 자체로도 에너지 절감효과가 있는 것으로 알려져 있다[1,2,4]. 기계식증기 재압축 증발기는 보통 증발기에서 응축시켜 제거하는 발생 증기를 압축하여 고온의 증기로 만든 다음 가열원으로 재이용하는 장치로 이에 대한 효용은 문헌에 잘 나타나있다[3,4]. 여기서는 다중효용관과 증기 재압축기를 조합한 증발기 중에서 Forward feed 방식의 다중효응관에 증기 재압축기를 부착한 경우에 대하여 타당한 물질수지, 열수지, 전열 식, 상평형식을 소개하였다. 또한 압축기의 용량을 결정하기 위한 단열압축공정의 지배방정 식을 소개하였다. 원료의 조건, 효용관의 수 및 총전열온도차가 주어지면 상기의 지배방정식의 해를 구할 수 있는데. 본연구에서는 Gauss-Seidel의 연속치환법을 이용하였다. 이와 같이 지배방적식의 해를 구하면 효용관의 면적, 압축펌프의 용량, 각효용관 입출구의 조건 등이 계산된다. 다중효용관 기계식 증기 재압축 증발장치의 최적화를 위하여는 효용관의 전열면적당 가격과 압축펌프의 용량당 가격 그리고 펌프를 운전하는데 필요한 전력의 요금 등의 자료가 요구된다. 총전열온도차에 따른 운전비와 시설비의 합이 최소가 되는 점이 최적 총전열온도차가 되는데 이 점을 구할 때에는 수치적으로 안정한 이분법을 이용하였다. Borland C++를 이용하여 프로그램하였으며 윈도우즈 환경에서 수행되게 하였다. 사용자 쉽게 이용할 수 있게 하기 위하여 각종 필요한 데이터를 입력할 수 있는 Edit box가 화면에 나타나게 하였다. 또한 입력된 데이터를 저장하거나 불려올 수 있는 메뉴, 입력된 데이타를 이용하여 효용관의 면적과 압축기의 용량을 계산하거나 효용관의 수가 주어졌을 때 총전열온도차를 최적화하는 것을 선택할 수 있는 메뉴 그리고 계산 결과를 파일로 혹은 프린트로 출력할 것을 선택할 수 있는 메뉴가 있다. 사용자는 해당되는 데이타를 입력한후 마우스로 원하는 작업의 메뉴를 선택하면 된다.

• The Journal of the Acoustical Society of Korea
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• v.31 no.1
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• pp.1-10
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• 2012

The linear and decision-feedback equalization can mitigate time-varying intersymbol interference (ISI) caused by time-varying multipath propagation for underwater acoustic channels. The perfect elimination of interference components, however, is difficult using the linear equalization and the decision feedback equalizer has an error propagation problem. To overcome these shortcomings, this paper proposes an equalizer mode selection method using training sequences. The proposed method selects an equalization mode corresponding to the signal-to-noise ratio (SNR). If the SNR is low, the proposed system operates the linear equalizer for preventing the error propagation and if the SNR is high, the decision feedback equalizer for eliminating the residual ISI. Therefore, the proposed method can improve the error performance compared to the conventional equalizers. The computer simulation shows the proposed method improves the bit error performance using practical underwater channels responses acquired from the sea experiment.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.871-883
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• 2015

Vector autoregressive (VAR) models in high dimension suffer from noisy estimates, unstable predictions and hard interpretation. Consequently, the sparse vector autoregressive (sVAR) model, which forces many small coefficients in VAR to exactly zero, has been suggested and proven effective for the modeling of high dimensional time series data. This paper studies coupling measures to select non-zero coefficients in sVAR. The basic idea based on the simulation study reveals that removing the effect of other variables greatly improves the performance of coupling measures. sVAR model coefficients are asymmetric; therefore, asymmetric coupling measures such as Granger causality improve computational costs. We propose two asymmetric coupling measures, filtered-cross-correlation and filtered-Granger-causality, based on the filtered residuals series. Our proposed coupling measures are proven adequate for heavy-tailed and high order sVAR models in the simulation study.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.327-332
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• 2019

Today's scientists try to remove heavy metals with many new technologies such as phytoremediation. One of the best cutting edge technologies is developing transgenic plants to remove certain heavy metal in soil. I constructed the transformation vector expressing T. goesingense Metal Transport Protein1 gene and TgMTP1: GFP genes. The transgenic plants were selected and confirmed the transformed genes into Arabidopsis thaliana genome. Expression was confirmed in several parts in Arabidopsis cells, tissues and organs. When TgMTP1 overexpressing Arabidopsis thaliana were subjected, transgenic plants showed higher heavy metal tolerance than non-transgenic. For further study I selected the transgenic plant lines with enhanced tolerance against four different heavy metals; Zn, Ni, Co, Cd. The accumulation of these metals in these plants was further analyzed. The TgMTP1 overexpressing Arabidopsis thaliana plant of selected lines are resistant against heavy metals. This plant is characterized by the expression of the MTP1 gene accumulating heavy metal in the vacuole and being simultaneously expressed on the plasma membrane. In conclusion, these plants may be used in plant purification applications, and as a plant with increased tolerance.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.49-56
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• 2023

The purpose of this study was to investigate the effectiveness and perception of eco-friendly oral products by comparing and analyzing the dental bacterial film removal rate of eco-friendly toothbrushes and general toothbrushes, and by examining the satisfaction of the research subjects with toothbrushes through questionnaires. As a result of the study, there was no significant difference in the removal rate of dental bacterial film between eco-friendly toothbrushes and general toothbrushes, so it was found that the function of eco-friendly toothbrushes was not much different from that of ordinary toothbrushes, and the satisfaction with eco-friendly toothbrushes was generally positive.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.87-94
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• 2004

The feature subset selection is used as a preprocessing step of a teaming algorithm. If collected data are irrelevant or redundant information, we can improve the performance of learning by removing these data before creating of the learning model. The feature subset selection can also reduce the search space and the storage requirement. This paper proposed a new feature subset selection algorithm that is using the heuristic function based on entropy to evaluate the performance of the abstracted feature subset and feature selection. The ACS algorithm was used as a search method. We could decrease a size of learning model and unnecessary calculating time by reducing the dimension of the feature that was used for learning.

• Journal of Korea Multimedia Society
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• v.14 no.1
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• pp.44-53
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• 2011

H.264/SVC provides scalable video streams which consist of a base layer and one or more enhancement layers. Thus, it can efficiently adapt encoded streams to individual network conditions by dropping some layers of bit streams. However, on a dynamic environment such as the Internet, random packet losses due to network congestion can cause drastic effect on SVC quality. To avoid network congestion, the rate of video streams should be adjusted by carefully selecting a layer of each stream. In this paper, we propose three layer selection algorithms which can avoid network congestion by using the rate-distortion characteristics of streams. Simulation results show that FS(Far-Sighted) algorithm can maximize the overall PSNR value of streams by efficiently using the characteristics of video streams.

• The KIPS Transactions:PartA
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• v.18A no.4
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• pp.143-150
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• 2011

This paper presents an EDF based scheduling algorithm for scheduling imprecise computation model where each task consists of mandatory part and optional part. Imprecise computation is useful to manage overload condition. In overload situation, some optional parts should be removed. The proposed DOP algorithm removes optional parts of earlier deadline tasks to enhance flexibly for newly arriving tasks. A simulation result shows that DOP has better performance than other algorithms.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.37 no.3
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• pp.27-33
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• 2000

The selective chemical vapor deposition techniques for Cu metallization were studied. For enhancing the selectivity, furnace annealing and N$_{2}$ plasma were treated on patterned TiN/BPSG prior to the copper deposition. As a result, Cu did not deposited lead to suppressing the nucleation on BPSG singificantly. With the increasement the plasma treatment temperature, copper nucleation on BPSG was suppressed mote effectively, From TOF-SIMS(Time-of-Flight Secondary ion Mass Spectrometry), it is considered that annealing and N$_{2}$ plasma treatment remove hydroxyl(0-H) group so that eliminating the nucleation site for copper precursor enhance the selectivity.

• Korean Journal of Optics and Photonics
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• v.8 no.5
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• pp.366-371
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• 1997

We performed the velocity selective optical pumping(VSOP) spectroscopy using the rubidium atomic vapor in the room temperature. This spectroscopic technique removes the Doppler broadening by both optical pumping effect and the selection of atoms with a particular velocity. In this experiment, we used two independent lasers; one was a locked laser whose frequency was fixed and the other was a sweep laser whose frequency was tunable. The two beams were passing through the sample in the same direction unlike the conventional VSOP spectroscopy using two counter-propagating beams. We could make the velocity selective range of atoms much wider with this method than the old one.