629 research outputs found

    Uniquely list colorability of the graph Kn2 + Om

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    Given a list L(v) for each vertex v, we say that the graph G is L-colorable if there is a proper vertex coloring of G where each vertex v takes its color from L(v). The graph is uniquely k-list colorable if there is a list assignment L such that jL(v)j = k for every vertex v and the graph has exactly one L-coloring with these lists. In this paper, we characterize uniquely list colorability of the graph G = Kn2 + Om. We shall prove that if n = 2 then G is uniquely 3-list colorable if and only if m >= 9, if n = 3 and m >=1 then G is uniquely 3-list colorable, if n >=4 then G is uniquely k-list colorable with k =[m/2]+1, and if m>=n-1, entonce G es UnLC

    Uniquely List Colorability of Complete Split Graphs

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    The join of null graph Om and complete graph Kn, denoted by S(m; n), is called a complete split graph. In this paper, we characterize unique list colorability of the graph G = S(m; n). We shall prove that G is uniquely 3-list colorable graph if and only if m>=4, n>=4 and m + n>=10, m(G)>=4 for every 1<=m<=5 and n>=6.The join of null graph Om and complete graph Kn, denoted by S(m; n), is called a complete split graph. In this paper, we characterize unique list colorability of the graph G = S(m; n). We shall prove that G is uniquely 3-list colorable graph if and only if m>=4, n>=4 and m + n>=10, m(G)>=4 for every 1<=m<=5 and n>=6

    Saving Russian compatriots: imaginative geographies, representations of the self and other(s) in Russian discourses of military interventionism

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    The dissertation incorporates poststructuralist discourse analysis and critical IR perspectives to analyze Russian discourses on military interventions pertaining to the Post-Soviet/ Near Abroad region. It tries to answer the following question: How did Russian diplomats and politicians discursively construct Russia’s military interventions in Georgia and Ukraine? To that purpose, I propose a two-fold theoretical and analytical framework informed by poststructuralist and critical IR insights. First, I choose to interpret Russian contradictory legal discourse of military interventionism by referring to the literature on the subaltern empire. Accordingly, Russian discursive construction of intervention can be situated within a hybrid subaltern context, wherein Russian politicians and diplomats must replicate the hegemonic discourse of new interventionism, albeit in a subversive manner, to articulate the country’s subaltern agency and make sense of Moscow’s violations of neighboring countries’ sovereignty. Secondly, to examine the discursive construction of Russia’s military interventionism, the dissertation attempts to ‘read’ Russian interventions in Georgia and Ukraine in terms of the production of the Self/Other essential to the discourse of post-Cold War new interventionism. To facilitate the analysis of Russian intervention narratives, the subject of scrutiny is broken down into three major components: representations of the Subject, representations of the Others and imaginative geographies of the intervention. Subsequently, the dissertation applies this analytical framework to deconstruct the official discourses pertaining to Russia’s interventions in South Ossetia and Ukraine. Structurally, the dissertation is divided into a theoretical part and an analytical part. The first section of the theoretical part offers an overview of the development of Russia’s approach to normative issues regarding humanitarian intervention and R2P in the post-Cold War context. The second section furnishes a critical review of the literature on Russia’s discourses of humanitarian intervention and R2P informed by the English School and norm-oriented constructivist IR theories. Building from this critical review, a case for the application of the postcolonial theory-inspired subaltern empire theory is then made. The last section of the theoretical part is spent to elaborate the poststructuralist framework concerning the analysis of how Russia’s humanitarian intervention narratives produced the Self, Other and imaginative geographies. In the analytical part, composed of the subsequent three chapters, I employed the designated analytical framework to analyze the discursive construction of Russia’s military interventions in the cases of Georgia and Ukraine.http://www.ester.ee/record=b4701221*es

    A two dimension numerical model for waves induced currents in the coastal zone

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    In this paper, the results of two dimension numerical model for waves induced currents in the coastal zone are presented. The model was adjusted and verified at Phan Ri-Binh Thuan zone. The results of the testing show a good agreement between the observed and computed values. Then the model is applied to calculation of the distribution of waves induced currents in Ly Hoa area

    Stabilization for equal-order polygonal finite element method for high fluid velocity and pressure gradient

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    This paper presents an adapted stabilisation method for the equal-order mixed scheme of finite elements on convex polygonal meshes to analyse the high velocity and pressure gradient of incompressible fluid flows that are governed by Stokes equations system. This technique is constructed by a local pressure projection which is extremely simple, yet effective, to eliminate the poor or even non-convergence as well as the instability of equal-order mixed polygonal technique. In this research, some numerical examples of incompressible Stokes fluid flow that is coded and programmed by MATLAB will be presented to examine the effectiveness of the proposed stabilised method

    Double-Curvature Test of Reinforced Concrete Columns Using Shaking Table: A New Test Setup

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    This paper proposes a new test setup to study the double-curvature behavior of reinforced concrete (RC) columns using shaking table. In this setup, the seismic action is simulated by the horizontal movement of a long-heavy rigid mass sitting on the top of only one test specimen. The double-curvature mechanism of specimen is affected by the movement of the concrete mass on a test rig consisting four steel hollow-section columns fully anchored to the shaking table. Application of axial load on the specimen is made possible through a pre-stressing equipment connecting to its top and bottom bases. The current setup offers two improvements over the previous ones. First, it makes available greater ranges of test data for conducting bigger sizes of the specimens. Second, it allows to directly measure the variation of axial force in the test specimens while the test implementation can be fast and easy with a high safety margin even until the complete collapse of the test units. The current test setup has been successfully applied on two ½ scaled V-shaped columns. It has been shown that the column specimen with a low axial load level of 0.05f’cAg, where f’c is the concrete strength and Ag is the cross-sectional area of the specimen, can well survive at a ground peak acceleration up to 5.5 (m/s2) with a drift ratio of approximately 2.91%. Meanwhile, the column subjected to moderate axial load level of 0.15f’cAg can survive at a higher ground peak acceleration of 8.0 (m/s2) with a drift ratio of 3.75%. Furthermore, it is experimentally evidenced that the V-shaped cross-section does not deform in-plane under seismic action. The angle between two planes corresponding to the column web and flange are up to 0.03 (rad). This finding is significant since it contradicts the plane strain assumption available in the current design practice

    Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

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    Improving milling performances is an effective solution to decrease the costs required. This paper addressed a multi-response optimization to simultaneously decrease the machining power consumed Pm, arithmetical roughness Ra, and ten-spot roughness Rz. The Grey-Response Surface Method-Multi Island Genetic Algorithm (GRMA) consisting of grey relational analysis (GRA), response surface method (RSM), and multi-island genetic algorithm (MA) was proposed to predict the optimal parameters and yield optimum milling performances. The experimental trials were conducted with the support of a CNC milling center. The influences of spindle speed (S), depth of cut (ap), feed rate (fz), and tip radius (r) were explored using GRA. The nonlinear relationship between machining parameters and grey grade (GG) model was developed using RSM. Finally, two optimization techniques, including desirability approach (DA) and MA were performed to observe the optimal values. The results indicated that the machining power was greatly affected by processing factors and the radius has a significant impact on the roughness criteria. The measured reductions using optimal parameters of Pm, Ra, and Rz are approximately 77.05%, 50.00%, and 58.02%, respectively, as compared to initial settings. The GRMA can be considered as an effective approach to generate reliable values of processing conditions and technological performances in the milling process
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