67 research outputs found

    TLB pre-loading for Java applications

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    The increasing memory requirement for today\u27s applications is causing more stress for the memory system. This side effect puts pressure into available caches, and specifically the TLB cache. TLB misses are responsible for a considerable ratio of the total memory latency, since an average of 10% of execution time is wasted on miss penalties. Java applications are not in a better position. Their attractive features increase the memory footprint. Generally, Java applications TLB miss rate tends to be multiples of miss rate for non-java applications. The high miss rate will cause the application to loose valuable execution time. Our experiments show that on average, miss penalty can constitute about 24% of execution time. Several hardware modifications were suggested to reduce TLB misses for general applications. However, to the best of our knowledge, there have been no similar efforts for Java applications. Here we propose a software-based prediction model that relies on information available to the virtual machine. The model uses the write barrier operation to predict TLB misses with an average 41% accuracy rate

    Atar: Attention-based LSTM for Arabizi transliteration

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    A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by transliterating them into Arabic script. The latter approach is the more common one and this work presents two significant contributions in this direction. The first one is to collect and publicly release the first large-scale “Arabizi to Arabic script” parallel corpus focusing on the Jordanian dialect and consisting of more than 25 k pairs carefully created and inspected by native speakers to ensure highest quality. Second, we present Atar, an attention-based encoder-decoder model for Arabizi transliteration. Training and testing this model on our dataset yields impressive accuracy (79%) and BLEU score (88.49)

    Numerical Treatment of Delay-Differential Equations by Using Spline Hermite Approximations

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    In this paper, spline technique with five collocation parameters for finding the numerical solutions of delay differential equations (DDEs) is introduced. The presented method is based on the approximating the exact solution by C4-Hermite spline interpolation and as well as five collocation points at every subinterval of DDE.The study shows that the spline solution of purposed technique is existent and unique and has strongly stable for some collocation parameters. Moreover, this method if applied to test problem will be consistent, p-stable and convergent from order nine .In addition ,it possesses unbounded region of p-stability. Numerical experiments for four examples are given to verify the reliability and efficiency of the purposed technique. Comparisons show that numerical results of our method are more accurate than other methods.  

    Numerical Solutions of Systems of Neutral Delay Differential- Algebraic Equations

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    This paper studies the numerical stability of spline collocation technique for finding the numerical solutions of neutral delay algebraic differential equations (DDEs). The conditions necessary to ensure the widest areas of p-stability of the proposed numerical technique are determined when they are applied to a test problem. The numerical study of convergence shows that the numerical technique proposed when applied to the test of these equations was consistent and convergent from the order ninth. The effectiveness of the proposed spline technique was verified by solving four standard problems in both linear and nonlinear cases. The results of numerical comparisons with some other methods indicate the superiority of our results and the most accurate ones.  

    The ESG disclosure and the financial performance of Norwegian listed firms

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    The world is constantly changing, and with an evolving global environmental crisis, there is a growing trend of Corporate Social Responsibility, and Environmental, Social, and Governance (ESG) disclosure initiatives. The final report on the new E.U. taxonomy for sustainable activities was released in 2020, making ESG disclosure more relevant. This paper investigates the effects of ESG initiatives on the financial performance of Norwegian listed companies from 2010 to 2019. ESG is measured through the Thomson Reuters Eikon ESG disclosure score and financial performance through ROA and Tobin’s Q. To the best of our knowledge, this is the first time this relationship has been investigated in Norway. Using panel data regression analysis and two proxies for the dependent variable (financial performance), the results of this study are mixed. In particular, findings suggest a strong significant relationship between ESG initiatives and financial performance. More specifically, the regression model, with ROA as the dependent variable, suggests that ESG initiatives have a clear negative impact. On the other hand, the variable Tobin’s Q increases when ESG increases. This could be explained by the different horizons of the measures and other factors affecting the business environment.Peer reviewe

    Bearing Capacity Of Skirted Square Footing On Clay Upper Sand

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    The foundation is element of the building structure which connects the structure to the ground, and transfers loads from the structure to the ground. Skirts are used to improve the bearing capacity of shallow footings on clay upper sand soil by constraining the soil beneath and containing the plastic flow of soil. They are used as an alternative to deep foundations in soils with low strength at the surface, the bearing capacity formulation is used in the analysis of failure. The research are performing nine laboratory experiments on square steel footings of different widths footing made of steel width 75 mm, 100 mm and 150 mm with length of skirt 100 mm and 150 mm on clay upper sand by keeping the similar water content and compaction method,The results from the laboratory show that the skirt is effectively to reduce the foundation settlement on clay upper sand which is observed on similar load 1 kN. The observations on L/B ratio on similar width show that the higher L/B ratio the smaller settlement. The load generally increase, when it is observed on settlement 3 mm with similar width, it shows that when increase the length of skirt increase the load valueon the footin

    The ESG disclosure and the financial performance of Norwegian listed firms

    Get PDF
    The world is constantly changing, and with an evolving global environmental crisis, there is a growing trend of Corporate Social Responsibility, and Environmental, Social, and Governance (ESG) disclosure initiatives. The final report on the new E.U. taxonomy for sustainable activities was released in 2020, making ESG disclosure more relevant. This paper investigates the effects of ESG initiatives on the financial performance of Norwegian listed companies from 2010 to 2019. ESG is measured through the Thomson Reuters Eikon ESG disclosure score and financial performance through ROA and Tobin’s Q. To the best of our knowledge, this is the first time this relationship has been investigated in Norway. Using panel data regression analysis and two proxies for the dependent variable (financial performance), the results of this study are mixed. In particular, findings suggest a strong significant relationship between ESG initiatives and financial performance. More specifically, the regression model, with ROA as the dependent variable, suggests that ESG initiatives have a clear negative impact. On the other hand, the variable Tobin’s Q increases when ESG increases. This could be explained by the different horizons of the measures and other factors affecting the business environment

    The ESG disclosure and the financial performance of Norwegian listed firms

    Get PDF
    The world is constantly changing, and with an evolving global environmental crisis, there is a growing trend of Corporate Social Responsibility, and Environmental, Social, and Governance (ESG) disclosure initiatives. The final report on the new E.U. taxonomy for sustainable activities was released in 2020, making ESG disclosure more relevant. This paper investigates the effects of ESG initiatives on the financial performance of Norwegian listed companies from 2010 to 2019. ESG is measured through the Thomson Reuters Eikon ESG disclosure score and financial performance through ROA and Tobin’s Q. To the best of our knowledge, this is the first time this relationship has been investigated in Norway. Using panel data regression analysis and two proxies for the dependent variable (financial performance), the results of this study are mixed. In particular, findings suggest a strong significant relationship between ESG initiatives and financial performance. More specifically, the regression model, with ROA as the dependent variable, suggests that ESG initiatives have a clear negative impact. On the other hand, the variable Tobin’s Q increases when ESG increases. This could be explained by the different horizons of the measures and other factors affecting the business environment

    Particle concentration measurement and flow regime identification in multiphase pipe flow using a generalised dual-frequency inversion method

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    An acoustic particle concentration measurement method, originally developed for marine sediment, in which the backscattered energy received by emitter-receiver transducers in the megahertz range is used to construct concentration profiles in suspensions of solid particles in a carrier fluid is applied to suspensions of general engineering interest. Four particle species with range of densities and sizes are used. Concentration profiles in horizontal, turbulent pipe flow at a Reynolds number of 50,000 and three nominal volume fractions are presented for each particle species, using experimentally determined acoustic coefficients, in order to isolate the influence of particle size and density on transport and settling in solid-liquid multiphase flows. It is clear from the results that the method allows the degree of segregation in real suspensions and slurries to be measured, and has a range of potential applications in the nuclear and minerals processing industries, for example. Lastly, the limiting conditions of the method are explored through the concept of an acoustic penetration depth
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