• 충청수학회지
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• 제23권1호
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• pp.109-117
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• 2010

In this paper, we define the concept of a c-net and study the convergence of c-nets. Also we show that a c-net in a topological space X has a convergent sub-c-net if and only if X is a $Lindel{\ddot{o}}f$ space, if every $G_{\delta}$ set is open in X.

• 한국수산과학회지
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• 제8권1호
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• pp.7-10
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• 1975

제주도 고등어 자망어업의 주어기인 1974년 5월 28일부터 8월 31일까지 서귀포와 비양도근해어장에서 고등어 자망어구의 이망율에 관한 시험조업결과는 다음과 같다. 1. $X^2$ t 검정에 의하면 고등어 nylon-monofilament 자망 B형이 nylon-multifilament 자망 A형보다 이망성능이 우위하고 나망율비는 $m_A:m_B=1:1.8$이다. 2. 망목 75mm인 nylon-monofilament 자망 C형, D형이 망목 85mm인 nylon-monofilament 자망 E형 F형 보다 이망성능이 우위하고 이망율비는 $m_E{\cdot}F:m_C{\cdot}D=1:2.8$이다. 3. 망계 굵기가 120tex와 75tex이고 망목이 75m 및 85mm인 C, D, E, F, 형에서는 상호간의 우위는 모두 확인할 수 없었다.

• Journal of applied mathematics & informatics
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• 제18권1_2호
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• pp.329-337
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• 2005

This paper is to establish a functional equation satisfied by the generating function for counting rooted cubic c-nets and then to determine the parametric expressions of the equation directly. Meanwhile, the explicit formulae for counting rooted cubic c-nets are derived immediately by employing Lagrangian inversion with one or two parameters. Both of them are summation-free and in which one is just an answer to the open problem (8.6.5) in [1].

• 정보처리학회논문지C
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• 제8C권5호
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• pp.621-628
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• 2001

SET은 전자상거래에 있어서 가장 많이 사용되고 있는 결재 시스템 규약 중의 하나이다. 그러나 전자상거래에서 실질적인 배달이나 배달 확인과정에 대해서는 SET은 고려하고 있지 않다. 따라서 본 논문에서는 배달이나 배달 확인에 의한 지불에 대한 보안성을 좀 더 높여주는 SKP(Secure Key Protocol)를 제안한다. 그리고 Petri Nets 모델링 방법을 이용하여, SKP를 적용한 SET 모델의 적합성 여부를 증명한다.

• 수산해양기술연구
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• 제51권2호
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• pp.203-211
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• 2015

The purpose of this study is to identify the flow resistance of the bottom pair trawl nets. The bottom pair trawl nets being used in fishing vessel (100G/T, 550ps) was selected as a full-scale net, and 1/10, 1/25 and 1/50 of the model nets were made. Converted into the full-scale net by Tauti's modeling rule and Kim's modeling rule, when resistance coefficient k of each net was calculated by substituting into above equation for flow resistance R and wall area of nets S values of each net ${\upsilon}$. Because resistant coefficient k decreases exponentially according as flow velocity ${\upsilon}$ increases to make $k=c{\upsilon}^{-m}$, c and m values of each net were compared. As a result, as the model was smaller, c and m values was smaller in the two rule into standard of 1/10 model value, decrease degree of 1/25 model was almost same in the two rule, decrease degree of 1/50 model was very big in Tauti's modeling rule. Therefore, in the result of experiment, because average of c and m values for similarly 1/10 and 1/25 model were given $c=4.9(kgf{\cdot}s^2/m^4)$ and m=0.45, R (kgf) of bottom pair trawl net could show $R=4.9S{\upsilon}^{1.55}$ using these values. As in the order of cod-end, wing and bag part for 1/25 and 1/50 model net were removed in turn, measured flow resistance of each, converted into the full-scale, total resistance of the net and the resistance of each part net were calculated. The resistance ratio of each part for total net was not same in 1/25 and 1/50 model each other, but average of two nets was perfectly same area ratio of each part as the wing, bag and cod-end part was 43%, 45% and 12%. However, the resistance of each part divided area of the part, calculated the resistance of per unit area, wing and bag part were not big difference each other, while the resistance of cod-end part was very large.

• 수산해양기술연구
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• 제47권4호
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• pp.281-289
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• 2011

The purpose of this study is to identify the flow resistance of the bottom trawl net. The bottom trawl net being used in the training ship of Chonnam National University was selected as a full-scale net, and model nets such as 1/10, 1/25 and 1/50 of the actual net were made. Total resistance of the net part, the height of the net mouth and the flow resistance of components of the net such as wing, bag and cod-end part was measured, converted into full-scale and compared. Additionally, the model rule of Tauti (1934), which has been most frequently used in fishing net modeling experiments, was applied to interpret flow resistance and scale effect of model experiment was investigated. Presumed that the flow resistance R is $R=kS{\upsilon}^2$ against the flow velocity of each net ${\upsilon}$, resistance coefficient k was calculated by substituting R, ${\upsilon}$ and S of the net. From the result, it was found that k decreases exponentially when u increases which makes $k=c{\upsilon}^{-m}$. Whereas m of each net is ranged between 0.13-0.16 and there was not significant difference between nets. c does not show big difference in 1/10 and 1/25 model and the value itself was relatively bigger than in 1/50 model. The height of the net mouth of 1/25 and 1/50 model net h decreases exponentially according as ${\upsilon}$ increases to make $h=d{\upsilon}^{-n}$. Whereas d and n values were almost same in two nets. Additionally, when resistance of cod-end, wing and bag part in 1/25 and 1/50 model nets, both nets showed big resistance in bag part when flow is 1m/s as more than 60%. Wing and cod-end part showed almost same value or wing part had little bit larger value. On the other hand, when reviewing the reasons why both models showed difference in 1/50 model while c value against the resistance coefficient k did not show big difference in 1/10 and 1/25 model, it is inferred that the difference occurred not from material difference but from the difference in net size according to scale. It was judged that they are the scale effects concomitant to the model experiments.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.28-30
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• 1998

• Applied Biological Chemistry
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• 제50권2호
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• pp.101-106
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• 2007

국내 다양한 토양시료로부터 우수 선충포식곰팡이 9 균주를 선발하였다. 순수분리된 선충포식곰팡이는 포식기관의 형태에 따라 3차원적 점착성 그물구조(3-dimensional adhesive nets)를 나타내는 선충포식곰팡이(A 그룹), 2차원적 점착성 그물구조(2-dimensional adhesive nets)를 나타내는 선충포식곰팡이(B 그룹)와 수축성 고리구조(constricting ring)를 나타내는 선충포식곰팡이(C 그룹)로 크게 3개의 형태그룹으로 분류되었다. 이들 각 그룹에 속하는 선충포식곰팡이의 균사체, 분생포자병, 분생포자의 모양과 크기, 분생포자 형성 개수, 분생포자 마디(node), 분생포자 격막의 수와 격막의 위치, 휴면포자의 형성과 크기 및 색 등 형태학적 특징과 선충포식곰팡이의 rDNA ITS 영역을 PCR로 증폭하여 염기서열을 분석한 결과, 분리된 포식곰팡이는 Monacrosporium thaumasium(Kan-2, Kan-4, Kan-11), Arthrobotrys oligospora(Kan-9, Kan-13, Kan-20, Kan-21), A. musiformis (Kan-12), A. dactyloides(Kan-22)로 동정되었다.

• 수산해양기술연구
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• 제36권1호
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• pp.60-65
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• 2000

수중에서 운동하는 그물어구의 가상질량은 어구의 운동을 해석하고 제어하는데 중요한 파라미터이다. 본 연구에서는 트롤어구의 가상질량을 추정하기 위해서 현재 트롤 어구에서 사용되고 있는 여러 종류의 그물감을 이용해서 자루그물을 제작하여 속도제어가 가능한 회류수조를 이용하여 가상 질량이 망지의 규격 및 망사의 부피 등과 어떤 관계가 있는지를 분석하였고, 실제어구의 가상질량 계산에 적용하여 보았다. 본 연구에서 얻어진 결과를 요약하면 다음과 같다. 1. 재료의 양은 같이 하고 순수하게 영각만을 달리한 각 그물에 대해 영각이 클수록 저항이 더 크게 나타났다. 2. 저항계수 (C 하(d))는 레이놀즈수(Re)에 따라 점점 감소하는 경향을 보이며, 식으로 나타내면 다음과 같았다. C 하(d)=0.039Re 상(-0.1474) 3. 망지의 표면적(TSA, Twine Surface Area)이 클수록 저항 값이 크게 나타났으며 식으로 나타내면 다음과 같다. R=21.398TSA 상(-0.4219) 4. 질량계수(C 하(M))는 유속(U)이 증가함에 따라 증가하는 경향을 나타내며 실험식은 다음과 같다. C 하(M)=37.557U-8.9684 5. 가상질량은 망사의 체적(V)과 d/l에 각각 비례관계를 나타냈다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.65-68
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• 1996

Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. The TMS32OC31 is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the, network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, and suitable for implementation of real-time, control. Performance of the neural controller is illustrated by simulation and experimental results for a SCARA robot.