• 수산해양기술연구
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• 제30권3호
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• pp.142-149
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• 1994

In order to investigate the environmental properties of set net grounds located in the coastal waters of Yeosu. The current in the vicinity of set net grounds was observed by drogue and current meter in 1990 and 1992. The results obtained are summarized as follows: The direction of tidal current at the north enterance of Yeosu bay was southerly in ebb and northwesterly in flood without the distiction of the neap tide and the spring tide. In spring tide the maximum Velocity of the tidal current was 68 cm/sec in ebb and 66 cm/sec in flood. In neap tide the maximum velocity of the tidal current was 37 cm/sec in ebb and 35 cm/sec in flood. And so the direction of residual current was the south ward mainly and 21 cm/sec. The direction of tidal current at set net fishing grounds was southwesterly in ebb and westerly or northwesterly in flood. Regardless of the distinction of neap and spring. The maximum velocity of the current in spring tide was 50 cm/sec in ebb and 40 cm/sec in flood and that in neap was 28 cm/sec in ebb and 25 cm/sec in flood. In spring tide the speed vector along the major axis of semidiurnal tide component was three times as large as diurnal tide. In neap tide, however, the speed vector was about 50% less then that in spring tide, and the semidiurnal tide and diurnal tide were equal in the size of current ellipse and the direction of major axis. The sea area had a southwesterly residual current. 11 cm/sec in spring tide and 7 cm/sec in neap tide. According to the result of drogue tracking, the vicinity of set net fishing ground had a southerly residual current which formed in Yeosu Bay and a weak westerly residual current toward Dolsando from Namhedo. Therefore, set net fishing ground in coastal water of Yeosu was distributed in boundary of inner water which formed from Seamjin river and offshore water supplied from the vicinity of Sorido and Yochido.

• Nuclear Engineering and Technology
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• 제39권4호
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• pp.337-348
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• 2007

A fuzzy neural network model is presented to predict residual stress for dissimilar metal welding under various welding conditions. The fuzzy neural network model, which consists of a fuzzy inference system and a neuronal training system, is optimized by a hybrid learning method that combines a genetic algorithm to optimize the membership function parameters and a least squares method to solve the consequent parameters. The data of finite element analysis are divided into four data groups, which are split according to two end-section constraints and two prediction paths. Four fuzzy neural network models were therefore applied to the numerical data obtained from the finite element analysis for the two end-section constraints and the two prediction paths. The fuzzy neural network models were trained with the aid of a data set prepared for training (training data), optimized by means of an optimization data set and verified by means of a test data set that was different (independent) from the training data and the optimization data. The accuracy of fuzzy neural network models is known to be sufficiently accurate for use in an integrity evaluation by predicting the residual stress of dissimilar metal welding zones.

• 대한수학회지
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• 제59권2호
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• pp.337-352
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• 2022

We consider the set of points with historic behavior (which is also called the irregular set) for continuous flows and suspension flows. In this paper under the hypothesis that (X_t)_t is a continuous flow on a d-dimensional Riemaniann closed manifold M (d ≥ 2) with gluing orbit property, we prove that the set of points with historic behavior in a compact and invariant subset ∆ of M is either empty or is a Baire residual subset on ∆. We also prove that the set of points with historic behavior of a suspension flows over a homeomorphism satisfyng the gluing orbit property is either empty or Baire residual and carries full topological entropy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1743-1758
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• 2023

Automatic modulation classification is a critical algorithm for non-cooperative communication systems. This paper addresses the challenging problem of closed-set and open-set signal modulation classification in complex channels. We propose a novel approach that incorporates a self-learning filter and center-loss in Deep Residual Shrinking Networks (DRSN) for closed-set modulation classification, and the Opendistance method for open-set modulation classification. Our approach achieves better performance than existing methods in both closed-set and open-set recognition. In closed-set recognition, the self-learning filter and center-loss combination improves recognition performance, with a maximum accuracy of over 92.18%. In open-set recognition, the use of a self-learning filter and center-loss provide an effective feature vector for open-set recognition, and the Opendistance method outperforms SoftMax and OpenMax in F1 scores and mean average accuracy under high openness. Overall, our proposed approach demonstrates promising results for automatic modulation classification, providing better performance in non-cooperative communication systems.

• 대한수학회보
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• 제47권2호
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• pp.287-293
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• 2010

It is well known that there is a residual subset J of the space of $C^1$-diffeomorphisms on a compact Riemannian manifold M such that the maps f $\mapsto$ chain recurrent set of f and f $\mapsto$ number of chain components of f are continuous on J. In this paper we get the flow version of the above results on diffeomorphisms.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1998년도 봄 학술발표회 논문집(I)
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• pp.315-320
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• 1998

The experimental set-up and one-dimensional analytical model have been developed to investigate the tensile behavior of reinforced concrete member due to restrained drying shrinkage. The experimental results have been compared with the analytical prediction of the maximum residual stress of steel and concrete due to restrained shrinkage. The tensile residual stress concrete by one-dimensional bilinear model shows 0.19 and 0.63 of tensile strength for 0.83% and 3.29 of steel ratio. The residual tensile stress of concrete increases as the steel ratio increases. The effect of steel fiber has not influenced the residual stress due to restrained shrinkage of concrete.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2009년 추계학술대회논문집
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• pp.223-227
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• 2009

In the present study, a least square weighted residual method and Taylor-Galerkin method were formulated and tested for the discretization of the two hyperbolic type equations of level set method; advection and reinitialization equations. The two approaches were compared by solving a time reversed vortex flow and three-dimensional broken dam flow by employing a four-step splitting finite element method for the solution of the incompressible Navier-Stokes equations. From the numerical experiments, it was shown that the least square method is more accurate and conservative than Taylor-Galerkin method and both methods are approximately first order accurate when both advection and reinitialization phase are involved in the evolution of free surface.

• 한국관광식음료학회지:관광식음료경영연구
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• 제12권1호
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• pp.5-24
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• 2001

This study was focused on the sanitary analysis of hazard factors and the establishment of critical control points on steak-set menu In hotel by the documents and microbiological investigation. The hazard factors of shrimp cocktail were microbial contamination, residual pesticides, unsuitable healing and cross contamination. The hazard factors of potato soap were residual pesticides, microorganisms contamination, unsuitable heating and solanine in potato. The hazard factors of simple salad were microorganisms contamination, unsuitable heating and cross contamination by inappropriate package. The hazard factors of steal were residual antimicrobial drugs, microorganisms contamination, unsuitable heating and cross contamination. The critical control points of shrimp cocktail were temperature control , number of washing and center temperature control of heating step. The critical control points of potato soup were stock temperature control , number of washing and center temperature control of Heating step. The critical control points of simple salad were number of washing and dryness of utensil. The critical control points of steak were stock temperature control , number of washing, center temperature and time control of heating step.

• 한국통신학회논문지
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• 제30권5B호
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• pp.274-286
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• 2005

본 논문에서는 이동 에드 혹 네트워크에서 효율적인 전력 사용 및 신뢰성 있는 데이터 전송을 보장하는 연결형 dominating set 기반의 라우팅 프로토콜을 제안하였다. 연결형 dominating set 기반의 라우팅 알고리즘에서 잦은 dominating set의 재구성은 루트 손실로 인한 전송 에러를 발생시키기 때문에, 노드의 잔여 전력량과 이동성을 고려하여 게이트웨이 노드를 선택하여야 한다. 또한 같은 지역에 노드가 집중되어 있다면 매체를 공유하는 무선네트워크의 특성상 병목으로 인한 충돌 및 지연 등을 야기 시킬 가능성이 크다. 따라서 본 논문에서는 노드의 잔여전력량 및 이동성, 이웃 노드수의 가중 가산 값에 비례하여 이웃 구성 통보 메시지 (neighbor set advertisement message)의 브로드캐스팅을 지연시키는 방법을 통해 연결형 dominating set의 재구성을 최소화 하면서도 신뢰성 있고 효율적인 데이터 전송을 보장하는 새로운 연결형 dominating set 구성 방법을 제안하고 다양한 상황에서의 실험을 통해 그 성능을 비교 평가하였다.

• 핵의학기술
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• 제20권2호
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• pp.42-45
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• 2016

$^{18}F-Florbetaben$은 베타아밀로이드 병리를 확인하여 인지 장애 및 의심 환자에게 보조적 진단으로 사용되고 있다. 지질 친화성의 특성과 에탄올이 첨가된 약제의 특성상 주사 후 3-way Set에 잔량과 주사 시 환자의 통증이 관심의 대상이 된다. 본 연구는 효과적인 방사성의약품의 주사와 환자 케어 및 우수한 영상을 위함이다. 내원환자 70명을 대상으로 하였고, 환자들에게 평균 $259{\pm}74MBq$의 $^{18}F-FDG$ (20명), $^{18}F-FP-CIT$ (20명), $^{18}F-Florbetaben$ (30명)을 3-way Set으로 주사(Reflusing 2회, Reflusing 3회 이상)를 하여 주사 후 잔량을 측정하였고, $^{18}F-Florbetaben$ 주사 시 사용되는 3-way Set와 Heparin Cap의 효율적인 주사방법을 알아보기 위해서 주사 후 잔량을 측정하여 SPSS 12.0 ANOVA, t-test 통계분석을 통하여 잔량을 비교분석 하였다. 그리고 $^{18}F-Florbetaben$의 통증 유발 성분의 에탄올 양을 측정하기 위하여 Gas Chromatography로 추가 분석을 실시해보았다. Reflusing 2회 시 $^{18}F-FDG$: 1.48 MBq (0.04 mCi), $^{18}F-FP-CIT$: 7.4 MBq (0.2 mCi), $^{18}F-Florbetaben$: 32.6 MBq (0.88 mCi)의 잔량이 측정 되었고 Reflusing 3회 이상 시 $^{18}F-FDG$: 1.85 MBq (0.05 mCi), $^{18}F-FP-CIT$: 3.7 MBq (0.10 mCi), $^{18}F-Florbetaben$: 36.3 MBq(0.98 mCi)의 잔량이 측정 되었다. 다중 비교결과 Reflusing 2회 시 잔량이 유의미한 차이가 있었고(P < 0.05), 3회 이상 시 $^{18}F-Florbetaben$과 $^{18}F-FDG$, $^{18}F-FP-CIT$는 잔량의 유의미한 차이가 있었으며(P < 0.05), $^{18}F-FDG$와 $^{18}F-FP-CIT$는 유의미한 차이가 없었다(P > 0.05). $^{18}F-Florbetaben$ 주사 후 잔량은 3-way Set: 32.6 MBq (0.88 mCi), 36.3 MBq (0.98 mCi)였고 Heparin Cap: 7.03 MBq (0.19 mCi)으로 유의미한 차이가 있었다(P < 0.05). Gas Chromatography 분석결과 에탄올: 207665 ppm, 아세톤: 377.4 ppm으로 나타났다. $^{18}F-Florbetaben$은 $^{18}F-FDG$와 $^{18}F-FP-CIT$에 비해 주사 후 잔량이 많았고, 통증을 유발하는 에탄올 성분의 수치가 높게 나타났다. 주사 시 3-way Set 방식보다는 Heparin Cap을 사용함이 잔량 감소에 더 효과적이었다. 그리고 주사 시 환자의 통증 완화를 위해서 천천히 주사함을 권고한다.