• Title/Summary/Keyword: Bishop

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The prediction of the critical factor of safety of homogeneous finite slopes subjected to earthquake forces using neural networks and multiple regressions

  • Erzin, Yusuf;Cetin, T.
    • Geomechanics and Engineering
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    • v.6 no.1
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    • pp.1-15
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    • 2014
  • In this study, artificial neural network (ANN) and multiple regression (MR) models were developed to predict the critical factor of safety ($F_s$) of the homogeneous finite slopes subjected to earthquake forces. To achieve this, the values of $F_s$ in 5184 nos. of homogeneous finite slopes having different slope, soil and earthquake parameters were calculated by using the Simplified Bishop method and the minimum (critical) $F_s$ for each of the case was determined and used in the development of the ANN and MR models. The results obtained from both the models were compared with those obtained from the calculations. It is found that the ANN model exhibits more reliable predictions than the MR model. Moreover, several performance indices such as the determination coefficient, variance account for, mean absolute error, root mean square error, and the scaled percent error were computed. Also, the receiver operating curves were drawn, and the areas under the curves (AUC) were calculated to assess the prediction capacity of the ANN and MR models developed. The performance level attained in the ANN model shows that the ANN model developed can be used for predicting the critical $F_s$ of the homogeneous finite slopes subjected to earthquake forces.

Effectiveness of egg-nymphal predation by a mirid bug, Cyrtorhinus lividipennis REUTER, for control of the brown planthopper (벼멸구(Nilaparrata lugens STAL)의 란 및 유추에 대한 장님 노린재 일종(Cyrtorhinus lividipennis REUTER)의 포식효과)

  • Bae S. H.;Pathak M. D.
    • Korean journal of applied entomology
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    • v.5_6
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    • pp.55-58
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    • 1968
  • 본시험은 1966년 필리핀에 있는 국제수도연구소에서 벼멸구의 생태에 관한 시험을 위하여 벼멸구를 대량으로 집단접종사육하여 오딘 중 cage내 갑자기 벼멸구의 밀도가 줄고 장님노린재가 무수히 번식되고 있는 것을 관찰한 후 Hawaii에 있는 Bishop Museum, Dr. ASHLOCK 씨에이 장님노린재에 대한 동정을 의뢰함과 동시에 벼멸구에 대한 포식성을 조사한 결과 벼멸구의 포식식능력은 장님노린재를 산난된 도엽에 접종하였을 때 5일후 포식난율이 $69.1\%$인대 대하여 벼멸구 고충에 대하여서는 접종 1일 후$61.4\%$, 2일 후 $76.2\%$, 3일 후 $91.0\%$ 4일 후 $93.3\%$의 포식률로서 매우 놀라운 포식능력을 보여주었다. 이 장님노린채는 벼멸구뿐만 아니라 다른 멸구류의 밀도를 제압할 수 있기 때문에 단장조건하에서는 벼멸구류의 피해를 미연에 경감시킬 수 있는 유리한 천적이라고 생각되며, 금후 이의 실제적인 이용면에 대한 연구가 기대된다.

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Spectroscopic, Thermal and Biological Studies of Zn(II), Cd(II) and Hg(II) Complexes Derived from 3-Aminopyridine and Nitrite Ion

  • Dhaveethu, Karuthakannan;Ramachandramoorthy, Thiagarajan;Thirunavukkarasu, Kandasamy
    • Journal of the Korean Chemical Society
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    • v.57 no.6
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    • pp.712-720
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    • 2013
  • Microwave assisted syntheses of Zn(II), Cd(II) and Hg(II) complexes with 3-aminopyridine (3AP) and nitrite ($NO_2{^-}$) ions have been reported. The metal complexes were characterized by elemental analyses, molar conductance, IR, Far-IR, electronic, NMR ($^1H$, $^{13}C$), thermal and electron impact mass spectral studies. The spectroscopic studies reveal the composition, the nature of nitrite ligand in the complexes, electronic transitions, chemical environments of C and H atoms thermal degradation of the complexes. On the basis of characterization data, distorted tetrahedral geometry is suggested for Zn(II), Cd(II) and Hg(II) complexes. The organic ligand (3AP) and their metal complexes were screened against gram negative pathogenic bacteria and fungi in vitro. The results are compared with our previous report J. Korean Chem. Soc. 2013, 57, 341 on 4-aminopyridine and nitrite ion complexes of the same metal ions.

SOME INVARIANT SUBSPACES FOR BOUNDED LINEAR OPERATORS

  • Yoo, Jong-Kwang
    • Journal of the Chungcheong Mathematical Society
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    • v.24 no.1
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    • pp.19-34
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    • 2011
  • A bounded linear operator T on a complex Banach space X is said to have property (I) provided that T has Bishop's property (${\beta}$) and there exists an integer p > 0 such that for a closed subset F of ${\mathbb{C}}$ ${X_T}(F)={E_T}(F)=\bigcap_{{\lambda}{\in}{\mathbb{C}}{\backslash}F}(T-{\lambda})^PX$ for all closed sets $F{\subseteq}{\mathbb{C}}$, where $X_T$(F) denote the analytic spectral subspace and $E_T$(F) denote the algebraic spectral subspace of T. Easy examples are provided by normal operators and hyponormal operators in Hilbert spaces, and more generally, generalized scalar operators and subscalar operators in Banach spaces. In this paper, we prove that if T has property (I), then the quasi-nilpotent part $H_0$(T) of T is given by $$KerT^P=\{x{\in}X:r_T(x)=0\}={\bigcap_{{\lambda}{\neq}0}(T-{\lambda})^PX$$ for all sufficiently large integers p, where ${r_T(x)}=lim\;sup_{n{\rightarrow}{\infty}}{\parallel}T^nx{\parallel}^{\frac{1}{n}}$. We also prove that if T has property (I) and the spectrum ${\sigma}$(T) is finite, then T is algebraic. Finally, we prove that if $T{\in}L$(X) has property (I) and has decomposition property (${\delta}$) then T has a non-trivial invariant closed linear subspace.

Hybrid CNN-SVM Based Seed Purity Identification and Classification System

  • Suganthi, M;Sathiaseelan, J.G.R.
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.271-281
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    • 2022
  • Manual seed classification challenges can be overcome using a reliable and autonomous seed purity identification and classification technique. It is a highly practical and commercially important requirement of the agricultural industry. Researchers can create a new data mining method with improved accuracy using current machine learning and artificial intelligence approaches. Seed classification can help with quality making, seed quality controller, and impurity identification. Seeds have traditionally been classified based on characteristics such as colour, shape, and texture. Generally, this is done by experts by visually examining each model, which is a very time-consuming and tedious task. This approach is simple to automate, making seed sorting far more efficient than manually inspecting them. Computer vision technologies based on machine learning (ML), symmetry, and, more specifically, convolutional neural networks (CNNs) have been widely used in related fields, resulting in greater labour efficiency in many cases. To sort a sample of 3000 seeds, KNN, SVM, CNN and CNN-SVM hybrid classification algorithms were used. A model that uses advanced deep learning techniques to categorise some well-known seeds is included in the proposed hybrid system. In most cases, the CNN-SVM model outperformed the comparable SVM and CNN models, demonstrating the effectiveness of utilising CNN-SVM to evaluate data. The findings of this research revealed that CNN-SVM could be used to analyse data with promising results. Future study should look into more seed kinds to expand the use of CNN-SVMs in data processing.

ON LOCAL SPECTRAL PROPERTIES OF RIESZ OPERATORS

  • JONG-KWANG YOO
    • Journal of applied mathematics & informatics
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    • v.41 no.2
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    • pp.273-286
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    • 2023
  • In this paper we show that if T ∈ L(X) and S ∈ L(X) is a Riesz operator commuting with T and XS(F) ∈ Lat(S), where F = {0} or F ⊆ ℂ ⧵ {0} is closed then T|XS(F) and T|XT(F) + S|XS(F) share the local spectral properties such as SVEP, Dunford's property (C), Bishop's property (𝛽), decomopsition property (𝛿) and decomposability. As a corollary, if T ∈ L(X) and Q ∈ L(X) is a quasinilpotent operator commuting with T then T is Riesz if and only if T + Q is Riesz. We also study some spectral properties of Riesz operators acting on Banach spaces. We show that if T, S ∈ L(X) such that TS = ST, and Y ∈ Lat(S) is a hyperinvarinat subspace of X for which 𝜎(S|Y ) = {0} then 𝜎*(T|Y + S|Y ) = 𝜎*(T|Y ) for 𝜎* ∈ {𝜎, 𝜎loc, 𝜎sur, 𝜎ap}. Finally, we show that if T ∈ L(X) and S ∈ L(Y ) on the Banach spaces X and Y and T is similar to S then T is Riesz if and only if S is Riesz.

Pattern Classification by Using Bayesian GTM (베이지안 GTM을 이용한 패턴 분류)

  • 최준혁;김중배;김대수;임기욱
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.287-290
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    • 2001
  • Bishop이 제안한 generative Topographic Mapping(GTM)은 Kohonen이 제안한 자율 학습 신경망인 Self Organizing Maps(SOM)의 확률적 버전이다. 본 논문에서는 이러한 GTM 모형에 베이지안 추론을 결합하여 작은 오분류율을 가지는 분류 알고리즘인 베이지안 GTM(Bayesian GTM)을 제안한다. 이 방법은 기존의 GTM의 빠른 계산 처리 능력과 베이지안 추론을 이용하여 기존의 분류 알고리즘보다 우수한 결과가 나타남을 실험을 통하여 확인하였다.

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LOCAL SPECTRAL PROPERTIES OF SEMI-SHIFTS

  • Yoo, Jong-Kwang;Kim, Yong-Il
    • Journal of applied mathematics & informatics
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    • v.28 no.1_2
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    • pp.499-507
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    • 2010
  • In this note, we study the local spectral properties of semi-shifts. If $T\;{\in}\;L(X)$ is a semi-shift on a complex Banach space X, then T is admissible. We also prove that if $T\;{\in}\;L(X)$ is subadmissible, then $X_T(F)\;=\;E_T(F)$ for all closed $F\;{\subseteq}\;\mathbb{C}$. In particular, every subscalar operator on a Banach space is admissible.

PROSTAGLANDINS AND THE REGULATION OF TUMOUR CELL GROWTH

  • Bailey, David-Bishop;Jane A. Mitchell
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2001.05a
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    • pp.1-8
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    • 2001
  • Increased expression of inducible cyclo-oxygenase (COX-2) is associated with a wide variety of tumours. In addition inhibitors of COX have shown a great deal of promise in vitro and in animal models as potential anti-tumour therapies. COX enzymes utilise the substrate arachidonic acid to produce prostaglandin (PO)H$_2$, the precursor to all the prostanoids.(omitted)

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