• Title/Summary/Keyword: $I_2$-convergence

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A Comparative Study of Phishing Websites Classification Based on Classifier Ensembles

  • Tama, Bayu Adhi;Rhee, Kyung-Hyune
    • Journal of Multimedia Information System
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    • v.5 no.2
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    • pp.99-104
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    • 2018
  • Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

Classification in Different Genera by Cytochrome Oxidase Subunit I Gene Using CNN-LSTM Hybrid Model

  • Meijing Li;Dongkeun Kim
    • Journal of information and communication convergence engineering
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    • v.21 no.2
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    • pp.159-166
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    • 2023
  • The COI gene is a sequence of approximately 650 bp at the 5' terminal of the mitochondrial Cytochrome c Oxidase subunit I (COI) gene. As an effective DeoxyriboNucleic Acid (DNA) barcode, it is widely used for the taxonomic identification and evolutionary analysis of species. We created a CNN-LSTM hybrid model by combining the gene features partially extracted by the Long Short-Term Memory ( LSTM ) network with the feature maps obtained by the CNN. Compared to K-Means Clustering, Support Vector Machines (SVM), and a single CNN classification model, after training 278 samples in a training set that included 15 genera from two orders, the CNN-LSTM hybrid model achieved 94% accuracy in the test set, which contained 118 samples. We augmented the training set samples and four genera into four orders, and the classification accuracy of the test set reached 100%. This study also proposes calculating the cosine similarity between the training and test sets to initially assess the reliability of the predicted results and discover new species.

Convergence Study of the Multigrid Navier-Stokes Simulation: I. Upwind Schemes (다중 격자 Navier-Stokes 해석을 위한 수렴 특성 연구 : I. 상류 차분 기법)

  • Kim, Yoon-Sik;Kwon, Jang-Hyuk
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.32 no.3
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    • pp.1-9
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    • 2004
  • This study concentrates on the upwind schemes for convergence acceleration of the multigrid method for the Navier-Stokes equations. Comparative study of the upwind schemes in the Fourier space has been performed to identify why the second-order upwind scheme with enlarged stencil can be preconditioned better than the classical second-order upwind scheme. The full-coarsening multigrid method with implicit preconditioned multistage scheme has been implemented for verification of analysis. Numerical simulations on the inviscid and turbulent flows with the Spalart-Allmaras turbulent model have been performed. The results showed consistent trend with the analysis.

ON THE RATE OF COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF ARRAYS OF RANDOM ELEMENTS

  • Sung, Soo-Hak;Volodin Andrei I.
    • Journal of the Korean Mathematical Society
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    • v.43 no.4
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    • pp.815-828
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    • 2006
  • Let {$V_{nk},\;k\;{\geq}\;1,\;{\geq}\;1$} be an array of rowwise independent random elements which are stochastically dominated by a random variable X with $E\|X\|^{\frac{\alpha}{\gamma}+{\theta}}log^{\rho}(\|X\|)\;<\;{\infty}$ for some ${\rho}\;>\;0,\;{\alpha}\;>\;0,\;{\gamma}\;>\;0,\;{\theta}\;>\;0$ such that ${\theta}+{\alpha}/{\gamma}<2$. Let {$a_{nk},k{\geq}1,n{\geq}1$) be an array of suitable constants. A complete convergence result is obtained for the weighted sums of the form $\sum{^\infty_k_=_1}\;a_{nk}V_{nk}$.

An Empirical Study on the Technology Convergence (Technology 수렴가능성에 대한 실증적 고찰)

  • 조상섭;이장우
    • Journal of Korea Technology Innovation Society
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    • v.6 no.2
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    • pp.191-202
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    • 2003
  • The objective of this study is to examine the existence of technology gap convergence between manufacturing sector and Grand Total over 1970 to 2000 under nonlinearity relationship in Korea. We use the concept of technology convergence as the stationarity test of technology gap over the relevant periods. Our empirical results provide two important implications for the future study: First, our empirical results strongly support the nonlinearity for technology convergence in our country and an empirical tests based on the assumption of linearity will be biased and wrong industry and economic policy implications. Second, we find two regimes i.e. technology convergence and technology divergence between manufacture sector and Grand Total in our country over 1970 to 2000. These study results imply that the relevant industry and economic policies for technology and R&D implementations be with a causation.

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A Study on the Analysis and the Direction of Improvement of the Korean Military C4I System for the Application of the 4th Industrial Revolution Technology (4차 산업혁명 기술 적용을 위한 한국군 C4I 체계 분석 및 성능개선 방향에 관한 연구)

  • Sangjun Park;Jee-won Kim;Jungho Kang
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.131-141
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    • 2022
  • Future battlefield domains are expanding to ground, sea, air, space, and cyber, so future military operations are expected to be carried out simultaneously and complexly in various battlefield domains. In addition, the application of convergence technologies that create innovations in all fields of economy, society, and defense, such as artificial intelligence, IoT, and big data, is being promoted. However, since the current Korean military C4I system manages warfighting function DBs in one DB server, the efficiency of combat performance is reduced utilization and distribution speed of data and operation response time. To solve this problem, research is needed on how to apply the 4th industrial revolution technologies such as AI, IoT, 5G, big data, and cloud to the Korean military C4I system, but research on this is insufficient. Therefore, this paper analyzes the problems of the current Korean military C4I system and proposes to apply the 4th industrial revolution technology in terms of operational mission, network and data link, computing environment, cyber operation, interoperability and interlocking capabilities.

ON A SIMPLE HIGH ORDER NUMERICAL DIFFERENTIATION USING THE LAGRANGE INTERPOLATION

  • HAHM N.;YANG M.;HONG B. I.
    • Journal of applied mathematics & informatics
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    • v.19 no.1_2
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    • pp.527-535
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    • 2005
  • Numerical differentiation is one of the main topics which have been studied by many researchers. If we use the forward difference scheme or the centered difference scheme, the convergence rates to the derivative are O(h) and O($h^2$), respectively. In this paper, using the Lagrange Interpolation, we construct a simple high order numerical differentiation scheme which has the convergence rate O($h^{2k}$) if we have 2k+1 equally spaced nodes. Our scheme is constructive.

SOME FAMILIES OF IDEAL-HOMOGENEOUS POSETS

  • Chae, Gab-Byung;Cheong, Minseok;Kim, Sang-Mok
    • Bulletin of the Korean Mathematical Society
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    • v.53 no.4
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    • pp.971-983
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    • 2016
  • A partially ordered set P is ideal-homogeneous provided that for any ideals I and J, if $$I{\sim_=}_{\sigma}J$$, then there exists an automorphism ${\sigma}^*$ such that ${\sigma}^*{\mid}_I={\sigma}$. Behrendt [1] characterizes the ideal-homogeneous partially ordered sets of height 1. In this paper, we characterize the ideal-homogeneous partially ordered sets of height 2 and nd some families of ideal-homogeneous partially ordered sets.

The effect of followers' role on the charismatic leadership (부하의 역할이 카리스마적 리더십에 미치는 영향)

  • Lee, Won-Haeng
    • Journal of Industrial Convergence
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    • v.12 no.2
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    • pp.40-52
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    • 2014
  • I present a theoretical analysis of the charismatic leadership and the follower's role. I distinguish between two types of charismatic relationships and present general propositions about how followers' self-concepts may dertermine the type of charismatic relationship they form with the leader. I conclude by suggesting further the study.

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Effects of Interfacial Dielectric Layers on the Electrical Performance of Top-Gate In-Ga-Zn-Oxide Thin-Film Transistors

  • Cheong, Woo-Seok;Lee, Jeong-Min;Lee, Jong-Ho;KoPark, Sang-Hee;Yoon, Sung-Min;Byun, Chun-Won;Yang, Shin-Hyuk;Chung, Sung-Mook;Cho, Kyoung-Ik;Hwang, Chi-Sun
    • ETRI Journal
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    • v.31 no.6
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    • pp.660-666
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    • 2009
  • We investigate the effects of interfacial dielectric layers (IDLs) on the electrical properties of top-gate In-Ga-Zn-oxide (IGZO) thin film transistors (TFTs) fabricated at low temperatures below $200^{\circ}C$, using a target composition of In:Ga:Zn = 2:1:2 (atomic ratio). Using four types of TFT structures combined with such dielectric materials as $Si_3N_4$ and $Al_2O_3$, the electrical properties are analyzed. After post-annealing at $200^{\circ}C$ for 1 hour in an $O_2$ ambient, the sub-threshold swing is improved in all TFT types, which indicates a reduction of the interfacial trap sites. During negative-bias stress tests on TFTs with a $Si_3N_4$ IDL, the degradation sources are closely related to unstable bond states, such as Si-based broken bonds and hydrogen-based bonds. From constant-current stress tests of $I_d$ = 3 ${\mu}A$, an IGZO-TFT with heat-treated $Si_3N_4$ IDL shows a good stability performance, which is attributed to the compensation effect of the original charge-injection and electron-trapping behavior.