• Title/Summary/Keyword: c-nets

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ON THE C-NETS

  • Lee, Seung On;Pi, Young Jin;Oh, Ji Hyun
    • Journal of the Chungcheong Mathematical Society
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    • v.23 no.1
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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.

ON THE CATCH OF GILL NET IN THE JEJU ISLAND -Comparison of mackerel catch in monofilament and multifilament gill nets- (제주도 자망이망율에 관하여 -고등어 자망의 이망율 비교-)

  • SHON Tae Jun
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.8 no.1
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    • pp.7-10
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    • 1975
  • The catches of mackerel by monofilament and multifilament net were compared by means of $x^2$ and t-test method. In order to improve the netting twine of drift nets, 6 shoots 5 different mesh and nylon-monofilament netting twines $(B\times2,\;C\;D,\;F,)$ and 2 shoe nylon-multifilament $(A\times2)$ which are using near the Jeju Island in contemporary days were used for the experiment. These gill no were connected in order of A, ,B, C, A, B, E, F and operated fly fishing boat Taeann Ho (7T) near sea of Jeju Ialand from May 1974 to August 1974. The results obtained are as follows: 1. B type nylon-monofilament gill nets were superior to nylon-multifilament gill nets in catch according to the result of $X^2$ test and t-test, and the catch ratio was $M_A:\;M_B=1:1.8$. 2. 75mm mesh size C, D nylon-monofilament gill nets were superior to 85mm mesh size nylonmonofilament gill nets, and their catch ratio were E, F: C, D=1:2.8. 3. The catch ratio C, D and E, F type nets were compared by means of t-teat, however could not recognized their relationship.

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THE ENUMERATION OF ROOTED CUBIC C-NETS

  • CAI JUNLIANG;HAO RONGXIA;LID YANPEI
    • Journal of applied mathematics & informatics
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    • v.18 no.1_2
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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].

Analysis Using Petri Nets for SKP-based SET Protocol (SKP기반 SET프로토콜의 Petri Nets를 이용한 분석)

  • Song, Yu-Jin;Seo, Mi-Gyeong;Lee, Jong-Geun
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.621-628
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    • 2001
  • SET is one of the useful protocol for credit payment in the Electronic market. Since, the delivery problem is conformed to delivery cooperation not payment problem, the classic SET protocol didn\`t consider about the certification of delivery. But the environment of electronic market be changed to manage the sold, delivery and payment etc.. In this paper, based on this consider, we propose a new SET protocol which has an function to verify the delivery based on SKP and verify it after analyzed by Petri nets. Specially, we consider SKP between Customer, Merchant, and Acquirer for improve the verify function.

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Flow resistance of bottom pair trawl nets and scale effect in their model experiments (쌍끌이 기선저인망의 유수저항 특성 및 모형 실험시의 축척비 영향)

  • Kim, Dae-Jin
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.2
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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.

Flow resistance of bottom trawl nets and scale effect in their model experiments (저층 트롤어구의 유수저항 특성 및 모형 실험시의 축척비 영향)

  • Kim, Dae-Jin;Kim, Dae-An;Kim, Tae-Ho;Shin, Hyeong-Ho;Jang, Duck-Jong;Cha, Bong-Jin
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.47 no.4
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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.

Morphological and Phylogenetic Characteristics of Nematophagous Fungi (식물기생성 선충 포식곰팡이의 형태 및 계통분류학적 특성)

  • Kang, Doo-Sun;Jeon, Han-Ki;Son, Hee-Seong;Whang, Kyung-Sook;Cho, Cheon-Whi
    • Applied Biological Chemistry
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    • v.50 no.2
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    • pp.101-106
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    • 2007
  • Twenty-two strains of nematophagous fungi were isolated from 100 soil samples. Nematophagous fungi were classified into three categories; 3-dimensional adhesive nets (A group), 2-dimensional adhesive nets (B group) and constricting ring (C group). Nine strains were selected and identified on the basis of morphological characteristics (hypha, conidiophore, form and size of conidia, number of conidia, node of conidophore, number and location of septa, size and color of chlamydospore) and ITS (internal transcribed spacer) region of rDNA sequences. As the results, the isolated were identified as belonging to the species of Monacrosporium thaumasium (Kan-2, Kan-4, Kan-11), Arthrobotrys oligospora (Kan-9, Kan-13, Kan-20, Kan-21), A. musiformis (Kan-12), and A. dactyloides (Kan-22).

Estimation of the Virtual Mass of Conical Nets using Circulating Water Channel (회류수조를 이요한 자루그물의 가상질량 추정)

  • 김현영
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.36 no.1
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    • pp.60-65
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    • 2000
  • The virtual mass of net is an important parameter in the analysis and control of net movement in the water. This experiment was performed with the purpose of getting a relation on the quantity of netting and virtual mass of trawl nets using the circulating water channel that can control flow speed. Twelve types of conical nets were examined. Resistance of the conical net at the steady and acceleration state was recorded as text on the personal computer through the tension meter and current meter. The results were obtained as follows ;1. Resistance(R) of the conical net is proportional to the degree of attack angle in the sam e amount of twine material.2. Coefficient of the resistance(Cd)could be defined by the following regression model as a function of Reynolds Number(Re). Cd=0.039Re-0.14743. Resistance(R) is proportional to TSA(Twine surface area) and defined as follows; R=21.398TSA-0.12194. Coefficient of virtual mass(CM) could be calculated by the following first order regression model. CM=37.557U-8.96845. Virtual mass is directly proportional to Volume of net(V) or d/l.

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Implementation of a real-time neural controller for robotic manipulator using TMS 320C3x chip (TMS320C3x 칩을 이용한 로보트 매뉴퓰레이터의 실시간 신경 제어기 실현)

  • 김용태;한성현
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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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.

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